From 759bce24dd11ced4fd2ece88444bca45c8a8e71c Mon Sep 17 00:00:00 2001 From: robert Date: Wed, 7 Jan 2026 13:27:21 +0900 Subject: [PATCH 01/12] [ADD] .antigravity workflow folder --- .../resources/architecting/act-template.md | 68 ++++ .../architecting/cast-analysis-guide.md | 152 ++++++++ .../resources/architecting/cast-template.md | 162 ++++++++ .../architecting/design/edge-routing.md | 67 ++++ .../architecting/design/node-specification.md | 41 +++ .../architecting/design/state-schema.md | 62 ++++ .../architecting/modes/add-cast-questions.md | 97 +++++ .../modes/extract-subcast-questions.md | 123 +++++++ .../modes/initial-design-questions.md | 97 +++++ .../architecting/pattern-decision-matrix.md | 109 ++++++ .../architecting/validation-checklist.md | 129 +++++++ .../developing/agents/configuration.md | 279 ++++++++++++++ .../developing/agents/structured-output.md | 182 +++++++++ .../resources/developing/core/edge.md | 141 +++++++ .../resources/developing/core/graph.md | 211 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Structure + +```markdown +# Backand + +## Act Overview +**Purpose:** {One sentence describing what this project does} +**Domain:** {e.g., Customer Support, Data Processing, Business Automation} + +## Casts +| Cast Name | Purpose | Location | +|-----------|---------|----------| +| Chat | {Brief purpose} | [casts/chat/CLAUDE.md](casts/chat/CLAUDE.md) | + +## Next Steps + +### Initial Setup +1. Review this architecture +2. Create cast package: `uv run act cast -c "Chat"` +3. Implement cast following [casts/chat/CLAUDE.md](casts/chat/CLAUDE.md) + +### Development Workflow +1. **Design**: Use `architecting-act` skill - Create/update architecture +2. **Scaffold**: Use `engineering-act` skill - Create cast package and manage dependencies +3. **Implement**: Use `developing-cast` skill - Implement nodes, state, and graph +4. **Test**: Use `testing-cast` skill - Write and run tests +``` + +## Usage Notes + +### Location +- **File path**: `PROJECT_ROOT/CLAUDE.md` +- **Contains**: Act-level information and Casts summary only +- **Does NOT contain**: Detailed Cast specifications (those go in `casts/{cast_slug}/CLAUDE.md`) + +### When to Update + +- **Initial Design (Mode 1)**: Create this file +- **Add Cast (Mode 2)**: Add row to Casts table +- **Extract Sub-Cast (Mode 3)**: Add row to Casts table for sub-cast +- **Update Act Purpose**: Modify Act Overview section + +### Casts Table Format + +Each row should have: +- **Cast Name**: Display name (PascalCase) +- **Purpose**: One sentence describing what this cast does +- **Location**: Link to cast's CLAUDE.md file in `casts/` directory + +### Next Steps Section + +Keep this section updated with: +- Current implementation status +- Next cast to implement +- Outstanding architecture decisions +- Dependencies between casts + +## Checklist + +- [ ] Act Overview is clear and concise (1-2 sentences) +- [ ] Domain is specified +- [ ] All Casts are listed in Casts table +- [ ] Each Cast has a working link to its CLAUDE.md +- [ ] Next Steps are actionable diff --git a/.antigravity/resources/architecting/cast-analysis-guide.md b/.antigravity/resources/architecting/cast-analysis-guide.md new file mode 100644 index 0000000..83fee58 --- /dev/null +++ b/.antigravity/resources/architecting/cast-analysis-guide.md @@ -0,0 +1,152 @@ +# Cast Complexity Analysis Guide + +Guide for analyzing Cast complexity and determining when to extract Sub-Casts. + +## When to Analyze + +Analyze Cast complexity when: +- User mentions cast is "too complex" or "hard to understand" +- You notice a cast has many nodes during design +- User wants to add similar logic to another cast +- During review of existing CLAUDE.md files (root + cast-specific) + +## Complexity Indicators + +### High Complexity Signals + +**Node Count**: More than 7 nodes suggests high complexity + +**Deep Nesting**: Conditional branches >3 levels deep + +**Repeated Patterns**: Same node sequence appears in multiple casts + +**Long Cycles**: Loop contains >4 nodes + +**Mixed Concerns**: Single cast handles multiple distinct workflows + +## Analysis Process + +### Step 1: Count Nodes + +Read the Cast's Architecture Diagram and count nodes (excluding START/END). + +``` +Low: 3-5 nodes +Medium: 6-7 nodes +High: 8+ nodes +``` + +### Step 2: Identify Patterns + +Look for: +- **Repeated Sequences**: Same 2-3 nodes appearing together +- **Isolated Sections**: Nodes that don't interact with rest of graph +- **Reusable Logic**: Validation, formatting, common transformations + +### Step 3: Check for Shared Logic + +Compare with other Casts (check root CLAUDE.md's Casts table and their respective cast CLAUDE.md files): +- Do multiple casts have similar node sequences? +- Is there common preprocessing/postprocessing? +- Are there shared validation steps? + +## Extraction Criteria + +### Extract as Sub-Cast When: + +✅ **Reusable**: Used by 2+ casts +✅ **Self-contained**: Has clear input/output, minimal dependencies +✅ **Cohesive**: Nodes work together toward single purpose +✅ **Stable**: Logic unlikely to change frequently + +### Keep in Main Cast When: + +❌ **One-off**: Only used in this cast +❌ **Tightly coupled**: Heavily depends on parent cast's state +❌ **Simple**: Only 1-2 nodes +❌ **Unstable**: Logic changes frequently + +## Extraction Proposal Template + +When suggesting extraction, present: + +``` +"I notice [Pattern/Section] in Cast: [CastName]. + +**Complexity**: [X] nodes, [specific issue] + +**Suggestion**: Extract as Sub-Cast: [ProposedName] + +**Benefits**: +- Reduces main cast from X to Y nodes +- Reusable in [OtherCast1, OtherCast2] +- Clearer separation of concerns + +**Extracted Nodes**: +- NodeA +- NodeB +- NodeC + +Should we proceed with this extraction?" +``` + +## Sub-Cast Naming + +Sub-Casts should be named with clear purpose: + +✅ Good: `InputValidation`, `DocumentParser`, `ResponseFormatter` +❌ Bad: `Helper`, `Utils`, `Common` + +## Example Analysis + +### Before (Complex Cast) + +```mermaid +graph TD + START --> ValidateInput + ValidateInput --> ParseDocument + ParseDocument --> CleanText + CleanText --> ChunkText + ChunkText --> EmbedChunks + EmbedChunks --> StoreVectors + StoreVectors --> RetrieveContext + RetrieveContext --> GenerateResponse + GenerateResponse --> FormatOutput + FormatOutput --> END +``` + +**Analysis**: 10 nodes, contains two distinct workflows (indexing + retrieval) + +### After (Extracted Sub-Casts) + +**Main Cast (Retrieval)**: +```mermaid +graph TD + START --> ValidateInput + ValidateInput --> RetrieveContext + RetrieveContext --> GenerateResponse + GenerateResponse --> FormatOutput + FormatOutput --> END +``` + +**Sub-Cast (DocumentIndexing)**: +```mermaid +graph TD + START --> ParseDocument + ParseDocument --> CleanText + CleanText --> ChunkText + ChunkText --> EmbedChunks + EmbedChunks --> StoreVectors + StoreVectors --> END +``` + +**Benefits**: Main cast reduced from 10 to 5 nodes, indexing logic reusable, clearer responsibilities + +## Checklist + +- [ ] Node count exceeds 10 +- [ ] Repeated patterns identified +- [ ] Shared logic across casts found +- [ ] Clear extraction boundary exists +- [ ] Sub-Cast would be reusable +- [ ] Extraction maintains graph correctness diff --git a/.antigravity/resources/architecting/cast-template.md b/.antigravity/resources/architecting/cast-template.md new file mode 100644 index 0000000..441d798 --- /dev/null +++ b/.antigravity/resources/architecting/cast-template.md @@ -0,0 +1,162 @@ +# Cast-Level CLAUDE.md Template + +Template for creating Cast-specific CLAUDE.md with detailed specifications. + +## Full Template Structure + +```markdown +# Cast: Chat + +> **Parent Act:** [Backand](../../CLAUDE.md) + +## Overview +**Purpose:** {One sentence describing what this cast does} +**Pattern:** {Sequential | Branching | Cyclic | Multi-agent} +**Latency:** {Low | Medium | High} +**Dependencies:** {List of other casts this depends on, or "None"} + +## Architecture Diagram + +\```mermaid +graph TD + START((START)) --> Node1[NodeName] + Node1 --> Node2[NodeName] + Node2 --> END((END)) +\``` + +## State Schema + +### InputState +| Field | Type | Description | +|-------|------|-------------| +| field_name | type | description | + +### OutputState +| Field | Type | Description | +|-------|------|-------------| +| field_name | type | description | + +### OverallState +| Field | Type | Category | Description | +|-------|------|----------|-------------| +| field_name | type | Input | description | +| field_name | type | Output | description | +| field_name | type | Internal | description | + +## Node Specifications + +### NodeName +| Attribute | Value | +|-----------|-------| +| Responsibility | {Single sentence describing what this node does} | +| Reads | {state fields this node reads} | +| Writes | {state fields this node writes} | + +## Technology Stack + +> Note: `langgraph`, `langchain` are already in template. List only **additional** dependencies for this Cast. + +### Additional Dependencies +| Package | Purpose | +|---------|---------| +| package-name | purpose | + +### Environment Variables +| Variable | Required | Description | +|----------|----------|-------------| +| VAR_NAME | Yes/No | description | + +## Implementation Notes + +### Module Structure +``` +casts/chat/ + ├── graph.py # Main graph assembly + ├── modules/ + │ ├── state.py # State definitions + │ ├── nodes.py # Node implementations + │ ├── conditions.py # Conditional routing (if needed) + │ ├── agents.py # Agent configurations (if needed) + │ ├── tools.py # Custom tools (if needed) + │ └── middlewares.py # Middleware setup (if needed) + └── tests/ + └── test_*.py # Test files +``` + +### Next Steps +1. Create cast package: `uv run act cast -c "Chat"` +2. Implement components in order: state → dependency modules → nodes → conditions → graph +3. Add dependencies: `uv add --package chat package-name` +4. Write tests: Use `testing-cast` skill +5. Run LangGraph dev server: `uv run langgraph dev` +``` + +## Usage Notes + +### Location +- **File path**: `PROJECT_ROOT/casts/chat/CLAUDE.md` +- **Contains**: Complete Cast specifications and implementation guide +- **Links to**: Root CLAUDE.md for Act-level context + +### When to Create + +- **Initial Design (Mode 1)**: Create along with root CLAUDE.md +- **Add Cast (Mode 2)**: Create for each new cast +- **Extract Sub-Cast (Mode 3)**: Create for extracted sub-cast + +### When to Update + +- **Add nodes**: Update Node Specifications and Architecture Diagram +- **Modify state**: Update State Schema +- **Add dependencies**: Update Technology Stack +- **Change pattern**: Update Overview and possibly entire structure + +### Pattern-Specific Guidance + +#### Sequential Pattern +- Nodes execute in linear order +- Each node processes and passes to next +- Simple state flow (Input → Internal → Output) + +#### Branching Pattern +- Router node determines path +- Multiple handler nodes for different cases +- State includes routing decision field + +#### Cyclic Pattern +- Refinement loop with exit condition +- State tracks iteration count and quality metrics +- Condition node checks if refinement needed + +#### Multi-agent Pattern +- Specialized agents for different roles +- Supervisor coordinates agent interactions +- State includes agent outputs and coordination info + +## Cross-References + +### Parent/Sub-Cast Relationships + +If this is a sub-cast, document: +- **Parent Cast**: Link to parent cast CLAUDE.md +- **Integration Point**: Where/how parent calls this sub-cast +- **Input Contract**: What parent passes to this sub-cast +- **Output Contract**: What this sub-cast returns to parent + +If this has sub-casts, document: +- **Sub-Casts**: List of sub-casts this calls +- **Why Sub-Cast**: Reason for extraction (complexity, reuse, etc.) +- **Integration**: How sub-casts are invoked + +## Checklist + +- [ ] Overview clearly states cast purpose +- [ ] Pattern is identified and appropriate +- [ ] Architecture diagram shows all nodes and edges +- [ ] Diagram has START and END nodes +- [ ] All three state schemas defined (InputState, OutputState, OverallState) +- [ ] Every node in diagram has a specification +- [ ] Node specifications include Responsibility, Reads, Writes +- [ ] Technology Stack lists additional dependencies +- [ ] Environment variables documented +- [ ] Links to parent Act CLAUDE.md work diff --git a/.antigravity/resources/architecting/design/edge-routing.md b/.antigravity/resources/architecting/design/edge-routing.md new file mode 100644 index 0000000..1784bd4 --- /dev/null +++ b/.antigravity/resources/architecting/design/edge-routing.md @@ -0,0 +1,67 @@ +# Architecture Diagram Guide + +Guide for creating clear Mermaid diagrams that represent your Cast architecture. + +## Design Process + +1. Start with START node +2. Add nodes based on selected pattern +3. Connect nodes with edges (normal or conditional) +4. Ensure all paths reach END +5. Add exit conditions for loops + +## Mermaid Syntax + +### Basic Structure +```mermaid +graph TD + START((START)) --> NodeName[NodeName] + NodeName --> END((END)) +``` + +### Conditional Routing +```mermaid +graph TD + START((START)) --> DecisionNode{DecisionNode} + DecisionNode -->|condition_a| NodeA[NodeA] + DecisionNode -->|condition_b| NodeB[NodeB] + DecisionNode -->|default| FallbackNode[FallbackNode] + NodeA --> END((END)) + NodeB --> END((END)) + FallbackNode --> END((END)) +``` + +### Loops +```mermaid +graph TD + START((START)) --> ProcessNode[ProcessNode] + ProcessNode --> EvaluateNode{EvaluateNode} + EvaluateNode -->|pass| END((END)) + EvaluateNode -->|fail| RefineNode[RefineNode] + RefineNode --> ProcessNode +``` + +## Node Shapes + +- **START/END**: `((START))`, `((END))` +- **Normal Node**: `[NodeName]` +- **Decision Node**: `{DecisionNode}` (diamond shape for conditional routing) + +## Design Principles + +**Clarity:** Each node should be clearly labeled with CamelCase names + +**Completeness:** All paths must reach END + +**Loops:** Must show exit condition and loop path + +**Conditionals:** Label edges with conditions (e.g., `|condition|`) + +## Checklist + +- [ ] START node present +- [ ] All nodes connected +- [ ] All paths reach END +- [ ] Conditional edges labeled with conditions +- [ ] Loop exit conditions shown +- [ ] Node names use CamelCase diff --git a/.antigravity/resources/architecting/design/node-specification.md b/.antigravity/resources/architecting/design/node-specification.md new file mode 100644 index 0000000..2dc4367 --- /dev/null +++ b/.antigravity/resources/architecting/design/node-specification.md @@ -0,0 +1,41 @@ +# Node Specification Guide + +## Core Principle + +**Single Responsibility:** Each node does ONE thing. + +**Test:** If you use "and" to describe it, split it. + +## Design Process + +1. Break workflow into discrete operations +2. Each LLM/API/DB call = separate node +3. Apply granularity check + +**Too coarse (split):** Does multiple operations, hard to describe in one sentence. + +**Too fine (merge):** Always runs together, trivial operation. + +## Output Format + +**IMPORTANT: Describe node structure only. Do NOT write other modules(tool, middleware etc.) or implementation code (def functions, classes etc.).** + +``` +Nodes: +- NodeName - Single responsibility description + - Reads: [state fields] + - Writes: [state fields] +``` + +## Naming Convention + +**REQUIRED: CamelCase format** (not lowercase or snake_case) +- ✅ Good: `InspectorAgent`, `ResponseGenerater` +- ❌ Bad: `inspect_agent`, `generate_response` + +## Checklist + +- [ ] Each node has single responsibility +- [ ] Names are clear (VerbNoun format) +- [ ] Reads/Writes match state schema +- [ ] LLM calls are separated diff --git a/.antigravity/resources/architecting/design/state-schema.md b/.antigravity/resources/architecting/design/state-schema.md new file mode 100644 index 0000000..adb726d --- /dev/null +++ b/.antigravity/resources/architecting/design/state-schema.md @@ -0,0 +1,62 @@ +# State Schema Design Guide + +## Schema Types + +| Schema | Purpose | Visibility | +|--------|---------|------------| +| **InputState** | What caller must provide | External | +| **OutputState** | What caller receives back | External | +| **OverallState** | All fields for internal operation | Internal | + +**Relationship:** OverallState ⊇ InputState ∪ OutputState + +## Design Process + +1. **Identify input fields** from user's stated input requirements +2. **Identify output fields** from user's stated output requirements +3. **Add internal fields** based on selected pattern (intermediate results, counters, etc.) +4. **Categorize** each field: Input / Output / Internal + +## Output Format + +**IMPORTANT: Present as TABLES ONLY. Do NOT write code (TypedDict, class definitions, etc.).** + +### InputState +| Field | Type | Description | +|-------|------|-------------| +| field_name | type | description | + +### OutputState +| Field | Type | Description | +|-------|------|-------------| +| field_name | type | description | + +### OverallState +| Field | Type | Category | Description | +|-------|------|----------|-------------| +| field_name | type | Input | description | +| field_name | type | Output | description | +| field_name | type | Internal | description | + +## Design Principles + +**InputState:** Only required fields, minimal API. + +**OutputState:** Only user-relevant results, hide internals. + +**OverallState:** ALL fields needed by nodes. + +## Common Patterns + +| Use Case | Input | Output | Internal | +|----------|-------|--------|----------| +| Chat | `query: str` | `response: str` | `messages: list` | +| Document | `document: str` | `result: dict` | `parsed: dict` | +| Classification | `text: str` | `label: str` | `features: list` | + +## Checklist + +- [ ] InputState has only required fields +- [ ] OutputState has only user-relevant fields +- [ ] OverallState includes ALL fields +- [ ] Each field has type and description diff --git a/.antigravity/resources/architecting/modes/add-cast-questions.md b/.antigravity/resources/architecting/modes/add-cast-questions.md new file mode 100644 index 0000000..a7ad9e1 --- /dev/null +++ b/.antigravity/resources/architecting/modes/add-cast-questions.md @@ -0,0 +1,97 @@ +# Mode 2: Add New Cast Questions + +Use when CLAUDE.md files exist (distributed structure) and adding a new cast to the Act. + +--- + +## Step 1: Read Existing Context + +**First, read CLAUDE.md files** to understand: +- **Root `/CLAUDE.md`**: Act Overview, purpose, and Casts table +- **Existing cast CLAUDE.md files** (`/casts/{cast_snake_name}/CLAUDE.md`): Each cast's architecture and responsibilities + +--- + +## Questions + +**Ask sequentially - wait for response after each question.** + +### Q1: New Cast Purpose +"I see your Act already has these casts: [list existing casts]. What should the new cast accomplish?" + +**Purpose:** Understand the new cast's role and why it's needed. + +**Examples:** +- "We need a separate cast to handle data ingestion" +- "Add a cast for batch processing user requests" +- "Create a validation cast used by other casts" + +--- + +### Q2: Cast Goal +"What should this new cast do? (one sentence)" + +**Purpose:** Establish clear, focused objective. + +**Examples:** +- "Ingest documents from external sources and queue for processing" +- "Process batches of user requests in parallel" +- "Validate and sanitize input data before processing" + +--- + +### Q3: Relationship to Existing Casts +"How does this cast relate to existing ones? +- A) Independent (runs separately, no direct connection) +- B) Sequential (runs after another cast) +- C) Provides shared logic (sub-cast used by multiple casts) +- D) Other?" + +**Purpose:** Understand cast relationships and data flow. + +**Follow-up based on answer:** +- If B: "Which cast runs before it? What data is passed?" +- If C: "Which casts will use this sub-cast?" +- If D: "How does it relate?" + +--- + +### Q4: Input/Output +"What goes in and what comes out? +- **Input:** (e.g., file path, request batch) +- **Output:** (e.g., processed data, validation result)" + +**Purpose:** Define data boundaries. + +--- + +### Q5: Constraints +"Any constraints? +- A) Low latency (<10s) +- B) Normal (<60s) +- C) Long-running (>60s) +- D) Other?" + +**Purpose:** Identify performance requirements. + +--- + +## After Q5: Summarize + +**Template:** +``` +"Got it. Here's what I understand: + +**New Cast: {cast_name}** +- **Goal:** [cast goal] +- **Relationship:** [how it relates to existing casts] +- **Input:** [input] +- **Output:** [output] +- **Constraints:** [constraints] + +This will be added to your Act alongside: [existing casts]. + +Is this correct?" +``` + +**Wait for confirmation before proceeding to pattern selection.** diff --git a/.antigravity/resources/architecting/modes/extract-subcast-questions.md b/.antigravity/resources/architecting/modes/extract-subcast-questions.md new file mode 100644 index 0000000..e060a53 --- /dev/null +++ b/.antigravity/resources/architecting/modes/extract-subcast-questions.md @@ -0,0 +1,123 @@ +# Extract Sub-Cast Questions + +Use when analyzing existing cast for complexity and suggesting extraction. + +--- + +## Step 1: Analyze Current Cast + +**Read the cast-specific CLAUDE.md** (`/casts/{cast_snake_name}/CLAUDE.md`) and analyze: +- Count nodes (excluding START/END) +- Identify repeated patterns +- Check for isolated sections +- Look for reusable logic across multiple casts (check root `/CLAUDE.md` Casts table and other cast files) + +**Complexity indicators:** +- Node count > 7 +- Repeated node sequences +- Shared logic across multiple casts +- Isolated section with clear input/output + +--- + +## When to Suggest Extraction + +**Only suggest if:** +- Node count > 7 +- Repeated node sequences found +- Shared logic across multiple casts +- Isolated section with clear input/output + +**Do NOT suggest if:** +- Cast is simple (≤7 nodes) +- No clear extraction boundary +- Logic is tightly coupled + +--- + +## Questions + +### Q1: Complexity Check + +**Present analysis first:** +``` +"I'm analyzing Cast: {cast_name}. + +**Current complexity:** +- Node count: {X} nodes +- [Additional findings: e.g., repeated patterns, isolated sections] + +Should we consider extracting any sections to reduce complexity?" +``` + +**Wait for user interest before proceeding.** + +--- + +### Q2: Extraction Proposal + +**If user is interested, propose specific extraction:** +``` +"I notice [specific pattern/section]: + +**Nodes to extract:** +- {NodeA} +- {NodeB} +- {NodeC} + +**Suggested Sub-Cast name:** {ProposedName} + +**Benefits:** +- Reduces main cast from {X} to {Y} nodes +- Reusable in [other casts if applicable] +- Clearer separation of concerns + +Should we proceed with this extraction?" +``` + +**Wait for confirmation.** + +--- + +### Q3: Sub-Cast Purpose + +**If confirmed, clarify purpose:** +"What is the primary purpose of this sub-cast? (one sentence)" + +**Purpose:** Ensure extracted sub-cast has clear responsibility. + +--- + +### Q4: Input/Output Verification + +"For the extracted sub-cast: +- **Input:** [inferred from nodes] +- **Output:** [inferred from nodes] + +Is this correct?" + +**Purpose:** Confirm data boundaries are clear. + +--- + +## After Confirmation: Update Plan + +**Explain next steps:** +``` +"I'll create: + +1. **New Sub-Cast: {name}** + - Extract {X} nodes from {parent_cast} + - Add to Casts table in root `/CLAUDE.md` + - Create `/casts/{subcast_snake_name}/CLAUDE.md` with extracted specification + +2. **Update {parent_cast}** + - Replace extracted nodes with sub-cast invocation node in `/casts/{parent_cast_snake_name}/CLAUDE.md` + - Update diagram + +This will reduce {parent_cast} complexity and make the logic reusable. + +Proceed?" +``` + +**Wait for final confirmation before designing sub-cast.** diff --git a/.antigravity/resources/architecting/modes/initial-design-questions.md b/.antigravity/resources/architecting/modes/initial-design-questions.md new file mode 100644 index 0000000..09abc48 --- /dev/null +++ b/.antigravity/resources/architecting/modes/initial-design-questions.md @@ -0,0 +1,97 @@ +# Mode 1: Initial Act & Cast Design Questions + +Use when CLAUDE.md doesn't exist (initial project setup after `act new`). + +--- + +## Act-Level Questions + +**Ask sequentially - wait for response after each question.** + +### Q1: Act Purpose +"What does this project do? (one sentence describing the overall goal)" + +**Purpose:** Establish project-level context for CLAUDE.md. + +**Examples:** +- "Customer support automation system" +- "Document processing pipeline" +- "Multi-agent research assistant" + +--- + +### Q2: Initial Cast Identification +"I see you created a cast called 'chat'. What should this cast accomplish?" + +**Purpose:** Understand the first cast's role within the Act. + +**Examples:** +- "Handle customer inquiries with RAG" +- "Process and index documents" +- "Coordinate research agents" + +--- + +## Cast-Level Questions + +**Now design the identified cast:** + +### Q3: Cast Goal +"What should this cast accomplish? (one sentence)" + +**Purpose:** Establish cast-level objective clearly. + +**Examples:** +- "Retrieve context and generate responses to user questions" +- "Parse documents and create embeddings for vector storage" +- "Route queries to specialized agents based on intent" + +--- + +### Q4: Input/Output +"What goes in and what comes out? +- **Input:** (e.g., user query, document) +- **Output:** (e.g., generated text, classification)" + +**Purpose:** Define data boundaries. + +**Examples:** +- Input: User question (str) | Output: Contextual response (str) +- Input: Raw document (str) | Output: Vector embeddings (list) +- Input: User query (str) | Output: Agent routing decision (str) + +--- + +### Q5: Constraints +"Any constraints? +- A) Low latency (<10s) +- B) Normal (<60s) +- C) Long-running (>60s) +- D) Other?" + +**Purpose:** Identify performance requirements. + +**Follow-up if D:** +- "What specific constraints?" (e.g., token limits, cost, accuracy requirements) + +--- + +## After Q5: Summarize + +**Template:** +``` +"Got it. Here's what I understand: + +**Act:** +- **Purpose:** [project goal] + +**Cast: chat** +- **Goal:** [cast goal] +- **Input:** [input] +- **Output:** [output] +- **Constraints:** [constraints] + +Is this correct?" +``` + +**Wait for confirmation before proceeding to pattern selection.** diff --git a/.antigravity/resources/architecting/pattern-decision-matrix.md b/.antigravity/resources/architecting/pattern-decision-matrix.md new file mode 100644 index 0000000..d7b7e52 --- /dev/null +++ b/.antigravity/resources/architecting/pattern-decision-matrix.md @@ -0,0 +1,109 @@ +# Pattern Decision Matrix + +Guide for Step 2: Pattern Selection based on requirements. + +## Decision Matrix + +| If Requirements Suggest... | Recommend Pattern | Why | +|---------------------------|-------------------|-----| +| Linear transformation, no branching, fixed steps | **Sequential** | Simple, predictable flow | +| Multiple handlers based on input type/classification | **Branching** | Route to specialized processors | +| Refinement until quality threshold met | **Cyclic** | Iterate and improve | +| Multiple specialized roles working together | **Multi-agent** | Divide responsibilities | + +## Detailed Pattern Characteristics + +### Sequential +**Structure:** START → Step1 → Step2 → ... → END + +**Use when:** +- Each step depends on previous output +- Order cannot change +- No decision points needed + +**Example:** Document parsing → Cleaning → Entity extraction → Summary generation + +**Design notes:** +- 3-7 nodes typical +- Each step has single responsibility +- Fail fast on bad input + +--- + +### Branching +**Structure:** START → Router → [Handler1 | Handler2 | Handler3] → END + +**Use when:** +- Different input types need different processing +- Classification determines next step +- Multiple specialized paths exist + +**Example:** Customer query → Classify → [Billing | Technical | Sales] → Response + +**Design notes:** +- Always include default/fallback path +- Make conditions mutually exclusive +- <5 branches recommended + +--- + +### Cyclic +**Structure:** START → Process → Evaluate → [Refine → Process | Complete → END] + +**Use when:** +- Output quality needs improvement +- Iterative refinement required +- Feedback loop necessary + +**Example:** Generate draft → Review quality → [Refine draft | Finalize] + +**Design notes:** +- Set max iterations (3-10) +- Track progress per iteration +- Use numeric thresholds for exit + +--- + +### Multi-agent +**Structure:** START → Coordinator → [Agent1, Agent2, Agent3] → Synthesize → END + +**Use when:** +- Multiple specialized roles needed +- Parallel expert processing required +- Complex orchestration necessary + +**Example:** Research task → [Researcher, Analyzer, Writer] → Final report + +**Design notes:** +- Start with 2-3 agents +- Define clear handoff criteria +- Coordinator should ONLY route + +--- + +## Hybrid Patterns + +**Can combine patterns:** +- Branching + Sequential: Route, then process linearly +- Multi-agent + Cyclic: Agents iterate until consensus +- Sequential + Branching: Linear flow with conditional exits + +**Recommend starting simple** - add complexity only if needed. + +--- + +## Presentation Template + +After analyzing requirements, present recommendation: + +``` +"Based on your requirements, I recommend the **[Pattern]** pattern. + +**Why:** [brief justification based on their requirements] + +[Simple diagram showing the pattern] + +Does this pattern fit your needs, or would you prefer a different approach?" +``` + +**Wait for confirmation before proceeding to Step 3.** diff --git a/.antigravity/resources/architecting/validation-checklist.md b/.antigravity/resources/architecting/validation-checklist.md new file mode 100644 index 0000000..f1ace69 --- /dev/null +++ b/.antigravity/resources/architecting/validation-checklist.md @@ -0,0 +1,129 @@ +# Validation Checklist + +Review & Validate distributed CLAUDE.md structure (root + cast files). + +## Automated Validation + +**Run validation script:** +```bash +python .claude/skills/architecting-act/scripts/validate_architecture.py +``` + +**Script checks:** +- Root CLAUDE.md exists and has Act Overview, Casts table, Next Steps +- All casts in table have corresponding `/casts/{cast_slug}/CLAUDE.md` files +- Each Cast CLAUDE.md has all required sections +- Mermaid diagrams have START/END nodes +- Node specifications defined per Cast +- Cross-references between root and cast files are valid + +--- + +## Manual Review Checklist + +### Root CLAUDE.md (`/CLAUDE.md`) +| Check | Issue Found? | Fix | +|-------|--------------|-----| +| Act Overview complete? | Missing purpose/domain | Add Act context | +| Casts table lists all casts? | Missing entries | Update table | +| Cast table has Location links? | Missing links | Add links to cast CLAUDE.md | +| Next Steps present? | Missing | Add next steps | + +### Per Cast (`/casts/{cast_slug}/CLAUDE.md`) +| Check | Issue Found? | Go Back To | +|-------|--------------|------------| +| Parent Act link present? | Missing link | Add link to root CLAUDE.md | +| Cast Overview complete? | Missing goal/pattern | Requirements | +| State schema complete? | Missing fields | State Schema step | +| All nodes defined? | Missing nodes | Node Specification step | +| Diagram shows all flows? | Orphan nodes, missing END | Diagram step | +| Dependencies listed? | Missing packages | Tech Stack step | +| No placeholders? | Incomplete content | Relevant step | + +--- + +## Common Issues + +### Missing END Node +**Problem:** Diagram has no termination path + +**Fix:** Update diagram, ensure all paths reach END + +--- + +### Orphan Nodes +**Problem:** Node not connected in diagram + +**Fix:** Update diagram, connect node to flow + +--- + +### Incomplete State Schema +**Problem:** Missing fields needed by nodes + +**Fix:** Add missing fields to OverallState + +--- + +### Placeholder Text +**Problem:** `[TODO]`, `{placeholder}` in document + +**Fix:** Complete section with actual content + +--- + +### Cast CLAUDE.md Not Created +**Problem:** Cast listed in root table but file doesn't exist + +**Fix:** Create `/casts/{cast_slug}/CLAUDE.md` with cast specifications + +--- + +### Broken Links +**Problem:** Root table links to wrong cast path + +**Fix:** Update table link to match actual cast directory + +--- + +## Success Criteria + +**Validation passes when:** +- ✅ Script reports no errors +- ✅ Root `/CLAUDE.md` has Act Overview and Casts table +- ✅ All casts in table have corresponding `/casts/{cast_slug}/CLAUDE.md` files +- ✅ All Cast CLAUDE.md files have complete sections +- ✅ Diagrams show START → nodes → END +- ✅ State schemas match node requirements +- ✅ Dependencies identified per Cast +- ✅ Cross-references (Parent Act links, Cast table links) work + +--- + +## File Structure + +After successful validation, you should have: + +``` +PROJECT_ROOT/ + CLAUDE.md # Act-level info + casts/ + cast_name_1/ + CLAUDE.md # Cast1 details + cast_name_2/ + CLAUDE.md # Cast2 details +``` + +--- + +## Hand-off + +After validation passes: + +- [ ] Root `/CLAUDE.md` at project root +- [ ] All `/casts/*/CLAUDE.md` files created +- [ ] Validation script passed +- [ ] Cross-references work +- [ ] Ready for implementation + +**Next:** `engineering-act` (scaffold casts) → `developing-cast` (implement) → `testing-cast` (test) diff --git a/.antigravity/resources/developing/agents/configuration.md b/.antigravity/resources/developing/agents/configuration.md new file mode 100644 index 0000000..19c573f --- /dev/null +++ b/.antigravity/resources/developing/agents/configuration.md @@ -0,0 +1,279 @@ +# Agent Configuration + +Agents combine LLMs with tools using the ReAct (Reasoning + Acting) pattern. `create_agent` executes a loop: input → model reasoning → tool execution → observation → final output. + +## Contents + +- Basic Structure +- Module Separation Pattern +- Model Configuration (Static, Dynamic) +- System Prompt (Static, Dynamic) +- State Extension (state_schema, middleware.state_schema) +- Key Constraints + +## Basic Structure + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent + +def set_sample_agent(): + return create_agent( + model=..., # Required: model instance + tools=[...], # Optional: list of tools + middleware=[...], # Optional: list of middleware + system_prompt=..., # Optional: system prompt + response_format=..., # Optional: structured output strategy + state_schema=..., # Optional: custom state schema + context_schema=..., # Optional: runtime context schema + ) +``` + +## Module Separation Pattern + +Separate components into modules when implementing agents: + +```python +# casts.{cast_name}.modules.models +from langchain_openai import ChatOpenAI + +def get_sample_model(): + return ChatOpenAI(model="gpt-4o", temperature=0.1) +``` + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool + +@tool +def search(query: str) -> str: + """Search for information.""" + return f"Results for: {query}" +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .models import get_sample_model +from .tools import search + +def set_sample_agent(): + return create_agent( + model=get_sample_model(), + tools=[search], + system_prompt="You are a helpful assistant." + ) +``` + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .agents import set_sample_agent + +class AgentNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_sample_agent() + + def execute(self, state): + result = self.agent.invoke({ + "messages": [{"role": "user", "content": state["query"]}] + }) + return {"messages": result["messages"]} +``` + +## Model Configuration + +### Static Model + +Use a model instance. + +```python +# casts.{cast_name}.modules.models +from langchain_openai import ChatOpenAI + +def get_basic_model(): + return ChatOpenAI( + model="gpt-4o", + temperature=0.1, + max_tokens=1000, + timeout=30 + ) +``` + +### Dynamic Model + +Use `@wrap_model_call` middleware to select model at runtime. + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import wrap_model_call, ModelRequest, ModelResponse +from .models import get_basic_model, get_advanced_model + +@wrap_model_call +def dynamic_model_selection(request: ModelRequest, handler) -> ModelResponse: + """Select model based on conversation length.""" + message_count = len(request.state["messages"]) + model = get_advanced_model() if message_count > 10 else get_basic_model() + return handler(request.override(model=model)) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .models import get_basic_model +from .middlewares import dynamic_model_selection + +def set_dynamic_agent(): + return create_agent( + model=get_basic_model(), # Default model + tools=[...], + middleware=[dynamic_model_selection] + ) +``` + +## System Prompt + +### Static Prompt + +```python +# casts.{cast_name}.modules.agents +def set_agent_with_prompt(): + return create_agent( + model=get_sample_model(), + tools=[...], + system_prompt="You are a helpful assistant. Be concise and accurate." + ) +``` + +### Dynamic Prompt + +Use `@dynamic_prompt` middleware to change prompt based on runtime context. + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import dynamic_prompt, ModelRequest + +@dynamic_prompt +def user_role_prompt(request: ModelRequest) -> str: + """Generate prompt based on user role.""" + user_role = request.runtime.context.get("user_role", "user") + base = "You are a helpful assistant." + + if user_role == "expert": + return f"{base} Provide detailed technical responses." + elif user_role == "beginner": + return f"{base} Explain concepts simply." + return base +``` + +```python +# casts.{cast_name}.modules.agents +from typing import TypedDict +from langchain.agents import create_agent +from .middlewares import user_role_prompt + +class Context(TypedDict): + user_role: str + +def set_dynamic_prompt_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[user_role_prompt], + context_schema=Context + ) +``` + +```python +# casts.{cast_name}.modules.nodes +class DynamicPromptNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_dynamic_prompt_agent() + + def execute(self, state): + result = self.agent.invoke( + {"messages": [{"role": "user", "content": state["query"]}]}, + context={"user_role": "expert"} # Runtime context + ) + return {"messages": result["messages"]} +``` + +## State Extension + +Two ways to add custom state to agents: + +### Using state_schema + +When custom state is only used in tools: + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import AgentState + +class CustomState(AgentState): # TypedDict-based + user_preferences: dict + +def set_stateful_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + state_schema=CustomState + ) +``` + +### Using middleware.state_schema (Recommended) + +When custom state is used in middleware and tools: + +```python +# casts.{cast_name}.modules.middlewares +from typing import Any +from langchain.agents import AgentState +from langchain.agents.middleware import AgentMiddleware + +class CustomState(AgentState): + user_preferences: dict + +class PreferencesMiddleware(AgentMiddleware): + state_schema = CustomState + + def before_model(self, state: CustomState, runtime) -> dict[str, Any] | None: + # State-based preprocessing + ... +``` + +```python +# casts.{cast_name}.modules.agents +from .middlewares import PreferencesMiddleware + +def set_middleware_stateful_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[PreferencesMiddleware()] + ) +``` + +Passing custom state on invocation: + +```python +# casts.{cast_name}.modules.nodes +class StatefulNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_stateful_agent() + + def execute(self, state): + result = self.agent.invoke({ + "messages": [{"role": "user", "content": state["query"]}], + "user_preferences": {"style": "technical"} + }) + return {"messages": result["messages"]} +``` + +## Key Constraints + +- Direct schema passing to `response_format` not supported → Must use `ToolStrategy` or `ProviderStrategy` +- Cannot use pre-bound models (`bind_tools`) with structured output in dynamic model selection diff --git a/.antigravity/resources/developing/agents/structured-output.md b/.antigravity/resources/developing/agents/structured-output.md new file mode 100644 index 0000000..9435114 --- /dev/null +++ b/.antigravity/resources/developing/agents/structured-output.md @@ -0,0 +1,182 @@ +# Agent Structured Output + +Return structured data from agents in predictable formats using Pydantic models. + +## Contents + +- Response Format +- Basic Usage (Auto Strategy) +- ToolStrategy (Explicit, Union Types, Custom Tool Message, Error Handling) +- Node Usage + +## Response Format + +The `response_format` parameter accepts: + +| Type | Description | +|------|-------------| +| `Schema` (Pydantic/TypedDict) | Auto-selects best strategy based on model | +| `ToolStrategy(schema)` | Force tool calling strategy | +| `ProviderStrategy(schema)` | Force provider-native strategy | + +When schema is passed directly, LangChain automatically chooses: +- `ProviderStrategy` for models with native structured output (OpenAI, Anthropic, Grok) +- `ToolStrategy` for all other models + +## Basic Usage (Auto Strategy) + +```python +# casts.{cast_name}.modules.agents + from pydantic import BaseModel, Field + from langchain.agents import create_agent +from .models import get_sample_model + + class ContactInfo(BaseModel): + """Contact information for a person.""" + name: str = Field(description="Person's name") + email: str = Field(description="Email address") + phone: str = Field(description="Phone number") + +def set_structured_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + response_format=ContactInfo, # Auto-selects strategy + ) +``` + +## ToolStrategy (Explicit) + +Use `ToolStrategy` explicitly for additional options like error handling and custom messages. + +```python +# casts.{cast_name}.modules.agents + from pydantic import BaseModel, Field + from typing import Literal + from langchain.agents import create_agent + from langchain.agents.structured_output import ToolStrategy +from .models import get_sample_model + + class ProductReview(BaseModel): + """Analysis of a product review.""" + rating: int | None = Field(description="Rating 1-5", ge=1, le=5) + sentiment: Literal["positive", "negative"] = Field(description="Review sentiment") + key_points: list[str] = Field(description="Key points, 1-3 words each") + +def set_tool_strategy_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + response_format=ToolStrategy(ProductReview), + ) +``` + +### Union Types + +Allow model to choose appropriate schema: + +```python +# casts.{cast_name}.modules.agents +from typing import Union +from pydantic import BaseModel, Field +from typing import Literal +from langchain.agents import create_agent +from langchain.agents.structured_output import ToolStrategy +from .models import get_sample_model + +class ProductReview(BaseModel): + rating: int | None = Field(ge=1, le=5) + sentiment: Literal["positive", "negative"] + +class CustomerComplaint(BaseModel): + issue_type: Literal["product", "service", "shipping", "billing"] + severity: Literal["low", "medium", "high"] + description: str + +def set_union_structured_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + response_format=ToolStrategy(Union[ProductReview, CustomerComplaint]), + ) +``` + +### Custom Tool Message + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langchain.agents.structured_output import ToolStrategy +from .models import get_sample_model + +def set_custom_message_agent(): + return create_agent( + model=get_sample_model(), + tools=[], + response_format=ToolStrategy( + schema=ContactInfo, + tool_message_content="Contact info extracted successfully!", + ), + ) +``` + +### Error Handling + +| Option | Description | +|--------|-------------| +| `True` (default) | Catch all errors, retry with default message | +| `"custom msg"` | Catch all errors, retry with custom message | +| `ValueError` | Only catch this exception type | +| `(ValueError, TypeError)` | Catch multiple exception types | +| `callable` | Custom error handler function | +| `False` | No retry, raise exceptions | + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langchain.agents.structured_output import ( + ToolStrategy, + StructuredOutputValidationError, + MultipleStructuredOutputsError, +) +from .models import get_sample_model + +def custom_error_handler(error: Exception) -> str: + if isinstance(error, StructuredOutputValidationError): + return "Invalid format. Please try again." + elif isinstance(error, MultipleStructuredOutputsError): + return "Return only one response." + return f"Error: {str(error)}" + +def set_error_handling_agent(): + return create_agent( + model=get_sample_model(), + tools=[], + response_format=ToolStrategy( + schema=ProductReview, + handle_errors=custom_error_handler, + ), + ) +``` + +--- + +## Node Usage + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .agents import set_structured_agent + +class StructuredOutputNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_structured_agent() + + def execute(self, state): + result = self.agent.invoke({ + "messages": [{"role": "user", "content": state["query"]}] + }) + structured = result["structured_response"] # Pydantic instance + return {"result": structured.model_dump()} +``` diff --git a/.antigravity/resources/developing/core/edge.md b/.antigravity/resources/developing/core/edge.md new file mode 100644 index 0000000..a54bb40 --- /dev/null +++ b/.antigravity/resources/developing/core/edge.md @@ -0,0 +1,141 @@ +# Edges + +Edges define routing logic between nodes. + +## Contents + +- Edge Types +- Normal Edge +- Conditional Edge +- Entry Point +- Conditional Entry Point +- Parallel Execution +- Complete Example + +## Edge Types + +| Type | Description | +|------|-------------| +| Normal Edge | Always go from A to B | +| Conditional Edge | Route based on function result | +| Entry Point | First node from START | +| Conditional Entry | Dynamic first node | + +--- + +## Normal Edge + +```python +# casts/{cast_name}/graph.py +builder.add_edge("node_a", "node_b") +``` + +## Conditional Edge + +```python +# casts/{cast_name}/modules/conditions.py +def route_by_result(state) -> str: + if state.get("success"): + return "next_node" + return "error_node" +``` + +```python +# casts/{cast_name}/graph.py +from casts.{cast_name}.modules.conditions import route_by_result + +# Option 1: Direct return value as node name +builder.add_conditional_edges("process", route_by_result) + +# Option 2: Map return values to node names +builder.add_conditional_edges( + "process", + route_by_result, + {"next_node": "success_handler", "error_node": "error_handler"} +) +``` + +## Entry Point + +```python +# casts/{cast_name}/graph.py +from langgraph.graph import START + +builder.add_edge(START, "first_node") +``` + +## Conditional Entry Point + +```python +# casts/{cast_name}/graph.py +from langgraph.graph import START + +builder.add_conditional_edges( + START, + route_by_input, + {"type_a": "handler_a", "type_b": "handler_b"} +) +``` + +--- + +## Parallel Execution + +If a node has multiple outgoing edges, all destination nodes execute **in parallel**. + +```python +# casts/{cast_name}/graph.py +# Both "analyze" and "summarize" run in parallel after "fetch" +builder.add_edge("fetch", "analyze") +builder.add_edge("fetch", "summarize") +``` + +--- + +## Complete Example + +```python +# casts/{cast_name}/modules/conditions.py +from langgraph.graph import END + +def should_continue(state) -> str: + if state.get("done"): + return END + if state.get("error"): + return "error_handler" + return "next_step" +``` + +```python +# casts/{cast_name}/graph.py +from langgraph.graph import StateGraph, START, END +from casts.base_graph import BaseGraph +from casts.{cast_name}.modules.conditions import should_continue + +class WorkflowGraph(BaseGraph): + def build(self): + builder = StateGraph(State) + + builder.add_node("input", InputNode()) + builder.add_node("process", ProcessNode()) + builder.add_node("next_step", NextNode()) + builder.add_node("error_handler", ErrorNode()) + + builder.add_edge(START, "input") + builder.add_edge("input", "process") + builder.add_conditional_edges( + "process", + should_continue, + { + "next_step": "next_step", + "error_handler": "error_handler", + END: END + } + ) + builder.add_edge("next_step", END) + builder.add_edge("error_handler", END) + + graph = builder.compile() + graph.name = self.name + return graph +``` diff --git a/.antigravity/resources/developing/core/graph.md b/.antigravity/resources/developing/core/graph.md new file mode 100644 index 0000000..ad7ee8a --- /dev/null +++ b/.antigravity/resources/developing/core/graph.md @@ -0,0 +1,211 @@ +# Graph Implementation + +Graphs are implemented in `casts/{cast_name}/graph.py` by extending `BaseGraph`. + +## Contents + +- Import +- Basic Pattern +- With Checkpointing (Persistence) +- With Store (Cross-Thread Memory) +- With Interrupts (Human-in-the-Loop) +- Decision Framework +- Common Mistakes + +## Import + +```python +# casts/{cast_name}/graph.py +from langgraph.graph import StateGraph, START, END +from casts.base_graph import BaseGraph +``` + +## Basic Pattern + +```python +# casts/{cast_name}/graph.py +from langgraph.graph import StateGraph, START, END +from casts.base_graph import BaseGraph + +from casts.{cast_name}.modules.state import State, InputState, OutputState +from casts.{cast_name}.modules.nodes import InputNode, ProcessNode, OutputNode +from casts.{cast_name}.modules.conditions import should_continue + +class {CastName}Graph(BaseGraph): + """Main graph for {CastName}.""" + + def __init__(self): + super().__init__() + self.input = InputState + self.output = OutputState + self.state = State + + def build(self): + """Build and compile the graph.""" + # 1. Create StateGraph with state schema + builder = StateGraph( + self.state, + input_schema=self.input, + output_schema=self.output + ) + + # 2. Add nodes (must be instances, not classes) + builder.add_node("input", InputNode()) + builder.add_node("process", ProcessNode(verbose=True)) + builder.add_node("output", OutputNode()) + + # 3. Add edges + builder.add_edge(START, "input") + builder.add_edge("input", "process") + builder.add_conditional_edges( + "process", + should_continue, + {"output": "output", "retry": "process", END: END} + ) + builder.add_edge("output", END) + + # 4. Compile and return + graph = builder.compile() + graph.name = self.name + return graph + +# Create graph instance +{cast_name}_graph = {CastName}Graph() +``` + +**Key steps:** +1. Create `StateGraph(State, input_schema=..., output_schema=...)` +2. Add nodes as **instances** (not classes) +3. Define edges (static and conditional) +4. Compile and return + +--- + +## With Checkpointing (Persistence) + +**When to use:** Save state between runs, support interrupts, time-travel debugging. + +```python +# casts/{cast_name}/graph.py +from langgraph.checkpoint.memory import MemorySaver +from langgraph.checkpoint.sqlite import SqliteSaver + +class {CastName}Graph(BaseGraph): + def __init__(self, checkpointer=None): + super().__init__() + self.checkpointer = checkpointer or MemorySaver() + + def build(self): + builder = StateGraph(State) + # ... add nodes and edges ... + + graph = builder.compile(checkpointer=self.checkpointer) + graph.name = self.name + return graph +``` + +## With Store (Cross-Thread Memory) + +**When to use:** Need memory across different threads/conversations. + +```python +# casts/{cast_name}/graph.py +from langgraph.store.memory import InMemoryStore + +class MemoryEnabledGraph(BaseGraph): + def __init__(self, store=None, checkpointer=None): + super().__init__() + self.store = store or InMemoryStore() + self.checkpointer = checkpointer + + def build(self): + builder = StateGraph(State) + # ... add nodes and edges ... + + graph = builder.compile( + checkpointer=self.checkpointer, + store=self.store + ) + graph.name = self.name + return graph +``` + +## With Interrupts (Human-in-the-Loop) + +**When to use:** Human approval steps, review workflows. + +```python +# casts/{cast_name}/graph.py +from langgraph.checkpoint.memory import MemorySaver + +class InterruptibleGraph(BaseGraph): + def build(self): + builder = StateGraph(State) + # ... add nodes ... + + graph = builder.compile( + checkpointer=MemorySaver(), # Required for interrupts + interrupt_before=["approval_node"], # Pause before + # OR + interrupt_after=["data_fetch"] # Pause after + ) + graph.name = self.name + return graph +``` + +--- + +## Decision Framework + +``` +Need state persistence between runs? +├─ Yes → Add checkpointer +│ ├─ Development → MemorySaver() +│ └─ Production → SqliteSaver / PostgresSaver +└─ No → compile() without checkpointer + +Need memory across threads? +└─ Yes → Add store (InMemoryStore / PostgresStore) + +Need human approval steps? +└─ Yes → Add interrupt_before/interrupt_after + (Requires checkpointer) +``` + +--- + +## Common Mistakes + +❌ **Not inheriting from BaseGraph** +```python +class MyGraph: # ❌ Wrong + def build(self): ... +``` + +✅ **Correct** +```python +class MyGraph(BaseGraph): # ✅ + def build(self): ... +``` + +❌ **Using interrupts without checkpointer** +```python +builder.compile(interrupt_before=["node"]) # ❌ Needs checkpointer +``` + +✅ **Correct** +```python +builder.compile(checkpointer=MemorySaver(), interrupt_before=["node"]) # ✅ +``` + +❌ **Wrong START/END usage** +```python +builder.add_edge("START", "first") # ❌ String "START" +builder.add_edge(START, "first") # ✅ Imported constant +``` + +❌ **Adding class instead of instance** +```python +builder.add_node("node", MyNode) # ❌ Class +builder.add_node("node", MyNode()) # ✅ Instance +``` diff --git a/.antigravity/resources/developing/core/node.md b/.antigravity/resources/developing/core/node.md new file mode 100644 index 0000000..a19458a --- /dev/null +++ b/.antigravity/resources/developing/core/node.md @@ -0,0 +1,175 @@ +# Node Implementation + +Nodes are implemented in `casts/{cast_name}/modules/nodes.py` by extending `BaseNode` (sync) or `AsyncBaseNode` (async). + +## Contents + +- Import +- execute() Signatures +- Sync Node +- Async Node +- Using config +- Using runtime +- verbose Mode +- Helper Methods +- Node with Agent +- Recursion Handling + +## Import + +```python +# casts/{cast_name}/modules/nodes.py +from casts.base_node import BaseNode, AsyncBaseNode +``` + +## execute() Signatures + +Subclasses **must** implement `execute()`. The `state` parameter is required; `config` and `runtime` are optional: + +```python +def execute(self, state): ... +def execute(self, state, config): ... +def execute(self, state, runtime): ... +def execute(self, state, config, runtime): ... +``` + +**Rules:** +- Must return a `dict` (state updates) +- Only `config` and `runtime` are allowed as optional parameters + +--- + +## Sync Node + +```python +# casts/{cast_name}/modules/nodes.py +from casts.base_node import BaseNode + +class ProcessNode(BaseNode): + def __init__(self): + super().__init__() + + def execute(self, state): + result = process_data(state["input"]) + return {"output": result} +``` + +## Async Node + +```python +# casts/{cast_name}/modules/nodes.py +from casts.base_node import AsyncBaseNode + +class FetchNode(AsyncBaseNode): + def __init__(self): + super().__init__() + + async def execute(self, state): + data = await fetch_external_api(state["url"]) + return {"data": data} +``` + +--- + +## Using config + +Access `thread_id`, `tags`, `metadata`: + +```python +# casts/{cast_name}/modules/nodes.py +from langchain_core.runnables import RunnableConfig +from casts.base_node import BaseNode + +class ConfigAwareNode(BaseNode): + def execute(self, state, config: RunnableConfig): + thread_id = self.get_thread_id(config) # helper method + tags = self.get_tags(config) # helper method + step = config["metadata"]["langgraph_step"] + return {"thread_id": thread_id, "step": step} +``` + +## Using runtime + +Access `context`, `store`, `stream_writer`: + +```python +# casts/{cast_name}/modules/nodes.py +from langgraph.runtime import Runtime +from casts.base_node import BaseNode + +class RuntimeNode(BaseNode): + def execute(self, state, runtime: Runtime): + user_id = runtime.context.user_id + store = runtime.store + return {"user_id": user_id} +``` + +--- + +## verbose Mode + +Enable debug logging: + +```python +# casts/{cast_name}/modules/nodes.py +from casts.base_node import BaseNode + +class DebugNode(BaseNode): + def __init__(self): + super().__init__(verbose=True) + + def execute(self, state): + self.log("Processing", input=state.get("input")) + return {"done": True} +``` + +--- + +## Helper Methods + +| Method | Description | +|--------|-------------| +| `self.log(msg, **ctx)` | Debug log (verbose only) | +| `self.get_thread_id(config)` | Extract thread_id from config | +| `self.get_tags(config)` | Extract tags list from config | + +--- + +## Node with Agent + +```python +# casts/{cast_name}/modules/nodes.py +from casts.base_node import BaseNode +from .agents import set_sample_agent + +class AgentNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_sample_agent() + + def execute(self, state): + result = self.agent.invoke({ + "messages": [{"role": "user", "content": state["query"]}] + }) + return {"messages": result["messages"]} +``` + +--- + +## Recursion Handling + +Check step counter to handle limits proactively: + +```python +# casts/{cast_name}/modules/nodes.py +from casts.base_node import BaseNode + +class SafeNode(BaseNode): + def execute(self, state, config): + step = config["metadata"]["langgraph_step"] + limit = config["recursion_limit"] # default: 25 + + if step >= limit * 0.8: + return {"route_to": "fallback"} + return {"result": "ok"} +``` diff --git a/.antigravity/resources/developing/core/state.md b/.antigravity/resources/developing/core/state.md new file mode 100644 index 0000000..d0f6a68 --- /dev/null +++ b/.antigravity/resources/developing/core/state.md @@ -0,0 +1,187 @@ +# State Definition + +State is defined in `casts/{cast_name}/modules/state.py` using `TypedDict`. + +## Contents + +- Basic State +- With Messages (Most Common) +- Reducers +- Input/Output Schemas +- Private State +- Complete Example + +## Basic State + +```python +# casts/{cast_name}/modules/state.py +from typing_extensions import TypedDict + +class State(TypedDict): + input: str + output: str +``` + +--- + +## With Messages (Most Common) + +Use `MessagesState` for chat-based graphs: + +```python +# casts/{cast_name}/modules/state.py +from langgraph.graph import MessagesState + +class State(MessagesState): + """State with messages and custom fields.""" + user_id: str + documents: list[str] +``` + +Or manually with `add_messages` reducer: + +```python +# casts/{cast_name}/modules/state.py +from typing import Annotated +from typing_extensions import TypedDict +from langchain.messages import AnyMessage +from langgraph.graph.message import add_messages + +class State(TypedDict): + messages: Annotated[list[AnyMessage], add_messages] + context: str +``` + +--- + +## Reducers + +Reducers define how state updates are applied. + +| Reducer | Behavior | +|---------|----------| +| None (default) | Overwrite value | +| `operator.add` | Append lists | +| `add_messages` | Smart message handling (update by ID or append) | + +```python +# casts/{cast_name}/modules/state.py +from typing import Annotated +from typing_extensions import TypedDict +from operator import add + +class State(TypedDict): + count: int # Overwrite + items: Annotated[list[str], add] # Append +``` + +--- + +## Input/Output Schemas + +Constrain graph input and output: + +```python +# casts/{cast_name}/modules/state.py +from typing import Annotated +from typing_extensions import TypedDict +from langchain.messages import AnyMessage +from langgraph.graph.message import add_messages + +class InputState(TypedDict): + """What the graph accepts as input.""" + query: str + +class OutputState(TypedDict): + """What the graph returns as output.""" + result: str + +class State(TypedDict): + """Internal state (superset of Input/Output).""" + query: str + result: str + messages: Annotated[list[AnyMessage], add_messages] + intermediate_data: dict # Not exposed in input/output +``` + +```python +# casts/{cast_name}/graph.py +from casts.{cast_name}.modules.state import State, InputState, OutputState + +class MyGraph(BaseGraph): + def build(self): + builder = StateGraph( + State, + input_schema=InputState, + output_schema=OutputState + ) + # ... +``` + +--- + +## Private State + +For internal node communication: + +```python +# casts/{cast_name}/modules/state.py +from typing_extensions import TypedDict + +class State(TypedDict): + user_input: str + graph_output: str + +class PrivateState(TypedDict): + """Internal state not exposed to input/output.""" + intermediate_result: str +``` + +```python +# casts/{cast_name}/modules/nodes.py +from casts.base_node import BaseNode + +class InternalNode(BaseNode): + def execute(self, state): + # Can write to PrivateState keys + return {"intermediate_result": "processed"} + +class OutputNode(BaseNode): + def execute(self, state): + # Read from PrivateState, write to State + return {"graph_output": state["intermediate_result"]} +``` + +--- + +## Complete Example + +```python +# casts/{cast_name}/modules/state.py +from typing import Annotated +from typing_extensions import TypedDict +from langchain.messages import AnyMessage +from langgraph.graph.message import add_messages + +class InputState(TypedDict): + """Graph input schema.""" + query: str + user_id: str + +class OutputState(TypedDict): + """Graph output schema.""" + messages: Annotated[list[AnyMessage], add_messages] + result: str + +class State(TypedDict): + """Full internal state.""" + # From InputState + query: str + user_id: str + # From OutputState + messages: Annotated[list[AnyMessage], add_messages] + result: str + # Internal only + context: str + processing_status: str +``` diff --git a/.antigravity/resources/developing/core/subgraph.md b/.antigravity/resources/developing/core/subgraph.md new file mode 100644 index 0000000..07d9705 --- /dev/null +++ b/.antigravity/resources/developing/core/subgraph.md @@ -0,0 +1,195 @@ +# Subgraphs + +A subgraph is a graph used as a node in another graph. + +## Contents + +- Communication Methods +- Method 1: Invoke from Node (different state schemas) +- Method 2: Add as Node (shared state keys) +- Persistence +- Streaming Subgraph Outputs +- Decision Framework + +**Use cases:** +- Multi-agent systems +- Reusable node sets +- Team-based distributed development + +## Communication Methods + +| Method | Use When | +|--------|----------| +| Invoke from node | Different state schemas (no shared keys) | +| Add as node | Shared state keys between parent and child | + +--- + +## Method 1: Invoke from Node + +Use when parent and subgraph have **different state schemas**. + +```python +# casts/{cast_name}/modules/nodes.py +from casts.base_node import BaseNode +from .subgraphs import analysis_subgraph + +class AnalysisNode(BaseNode): + def __init__(self): + super().__init__() + self.subgraph = analysis_subgraph + + def execute(self, state): + # Transform parent state → subgraph state + subgraph_input = {"query": state["user_input"]} + + # Invoke subgraph + subgraph_output = self.subgraph.invoke(subgraph_input) + + # Transform subgraph output → parent state + return {"analysis_result": subgraph_output["result"]} +``` + +### Define Subgraph + +```python +# casts/{cast_name}/modules/subgraphs.py +from typing_extensions import TypedDict +from langgraph.graph import StateGraph, START, END + +class AnalysisState(TypedDict): + query: str + result: str + +def analyze(state: AnalysisState): + return {"result": f"Analyzed: {state['query']}"} + +def summarize(state: AnalysisState): + return {"result": state["result"] + " [summarized]"} + +# Build subgraph +builder = StateGraph(AnalysisState) +builder.add_node("analyze", analyze) +builder.add_node("summarize", summarize) +builder.add_edge(START, "analyze") +builder.add_edge("analyze", "summarize") +builder.add_edge("summarize", END) + +analysis_subgraph = builder.compile() +``` + +--- + +## Method 2: Add as Node + +Use when parent and subgraph **share state keys**. + +```python +# casts/{cast_name}/graph.py +from langgraph.graph import StateGraph, START, END +from casts.base_graph import BaseGraph +from casts.{cast_name}.modules.subgraphs import shared_subgraph + +class ParentGraph(BaseGraph): + def build(self): + builder = StateGraph(State) + + builder.add_node("preprocess", PreprocessNode()) + builder.add_node("subgraph", shared_subgraph) # Add compiled graph directly + builder.add_node("postprocess", PostprocessNode()) + + builder.add_edge(START, "preprocess") + builder.add_edge("preprocess", "subgraph") + builder.add_edge("subgraph", "postprocess") + builder.add_edge("postprocess", END) + + graph = builder.compile() + graph.name = self.name + return graph +``` + +### Shared State Subgraph + +```python +# casts/{cast_name}/modules/subgraphs.py +from typing_extensions import TypedDict +from langgraph.graph import StateGraph, START, END + +class SharedState(TypedDict): + messages: list # Shared with parent + internal_data: str # Private to subgraph + +def process(state: SharedState): + return {"internal_data": "processed"} + +def respond(state: SharedState): + return {"messages": state["messages"] + ["Response based on " + state["internal_data"]]} + +builder = StateGraph(SharedState) +builder.add_node("process", process) +builder.add_node("respond", respond) +builder.add_edge(START, "process") +builder.add_edge("process", "respond") +builder.add_edge("respond", END) + +shared_subgraph = builder.compile() +``` + +--- + +## Persistence + +Only provide checkpointer when compiling **parent graph**. LangGraph automatically propagates to subgraphs. + +```python +# casts/{cast_name}/graph.py +from langgraph.checkpoint.memory import MemorySaver + +class ParentGraph(BaseGraph): + def build(self): + builder = StateGraph(State) + builder.add_node("subgraph", child_subgraph) + # ... + + # Checkpointer propagates to subgraph + graph = builder.compile(checkpointer=MemorySaver()) + graph.name = self.name + return graph +``` + +### Subgraph with Own Memory + +For multi-agent systems where agents need private message history: + +```python +# casts/{cast_name}/modules/subgraphs.py +builder = StateGraph(AgentState) +# ... add nodes ... +agent_subgraph = builder.compile(checkpointer=True) # Own memory +``` + +--- + +## Streaming Subgraph Outputs + +```python +# Include subgraph outputs in stream +for chunk in graph.stream( + {"input": "data"}, + subgraphs=True, # Stream from subgraphs too + stream_mode="updates", +): + print(chunk) +``` + +--- + +## Decision Framework + +``` +Do parent and subgraph share state keys? +├─ Yes → Add compiled graph as node directly +│ builder.add_node("name", subgraph) +└─ No → Invoke from within a node function + Transform state in → invoke → transform out +``` diff --git a/.antigravity/resources/developing/integrations/embedding.md b/.antigravity/resources/developing/integrations/embedding.md new file mode 100644 index 0000000..2be05b1 --- /dev/null +++ b/.antigravity/resources/developing/integrations/embedding.md @@ -0,0 +1,67 @@ +# Embedding Models + +Embedding models transform text into fixed-length vectors for semantic similarity search. + +## Top Integrations + +| Model | Package | +|-------|---------| +| `OpenAIEmbeddings` | `langchain-openai` | +| `AzureOpenAIEmbeddings` | `langchain-openai` | +| `GoogleGenerativeAIEmbeddings` | `langchain-google-genai` | +| `OllamaEmbeddings` | `langchain-ollama` | +| `CohereEmbeddings` | `langchain-cohere` | +| `MistralAIEmbeddings` | `langchain-mistralai` | + +## Basic Usage + +```python +# casts.{cast_name}.modules.utils +from langchain_openai import OpenAIEmbeddings + +def get_embeddings(): + return OpenAIEmbeddings(model="text-embedding-3-small") +``` + +## Interface Methods + +| Method | Description | +|--------|-------------| +| `embed_documents(texts)` | Embed list of texts → `List[List[float]]` | +| `embed_query(text)` | Embed single query → `List[float]` | + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .utils import get_embeddings + +class EmbeddingNode(BaseNode): + def __init__(self): + super().__init__() + self.embeddings = get_embeddings() + + def execute(self, state): + vectors = self.embeddings.embed_documents(state["documents"]) + query_vector = self.embeddings.embed_query(state["query"]) + return {"vectors": vectors, "query_vector": query_vector} +``` + +## Caching + +```python +# casts.{cast_name}.modules.utils +from langchain_classic.embeddings import CacheBackedEmbeddings +from langchain_classic.storage import LocalFileStore +from langchain_openai import OpenAIEmbeddings + +def get_cached_embeddings(): + underlying = OpenAIEmbeddings(model="text-embedding-3-small") + store = LocalFileStore("./cache/") + return CacheBackedEmbeddings.from_bytes_store( + underlying, + store, + namespace=underlying.model, + ) +``` + +**Important:** Always set `namespace` to avoid collisions between different models. diff --git a/.antigravity/resources/developing/integrations/text-spliter.md b/.antigravity/resources/developing/integrations/text-spliter.md new file mode 100644 index 0000000..39d0668 --- /dev/null +++ b/.antigravity/resources/developing/integrations/text-spliter.md @@ -0,0 +1,89 @@ +# Text Splitters + +Break large documents into smaller retrievable chunks. + +## Recommended: RecursiveCharacterTextSplitter + +Best default for most use cases. Preserves natural language structure. + +```python +# casts.{cast_name}.modules.utils +from langchain_text_splitters import RecursiveCharacterTextSplitter + +def get_text_splitter(): + return RecursiveCharacterTextSplitter( + chunk_size=1000, + chunk_overlap=200, + ) +``` + +## Splitting Strategies + +### Text Structure-Based + +Maintains hierarchy: paragraphs → sentences → words. + +```python +# casts.{cast_name}.modules.utils +from langchain_text_splitters import RecursiveCharacterTextSplitter + +def get_recursive_splitter(): + return RecursiveCharacterTextSplitter( + chunk_size=100, + chunk_overlap=0, + ) +``` + +### Token-Based + +Splits by token count (useful for LLM context limits). + +```python +# casts.{cast_name}.modules.utils +from langchain_text_splitters import CharacterTextSplitter + +def get_token_splitter(): + return CharacterTextSplitter.from_tiktoken_encoder( + encoding_name="cl100k_base", + chunk_size=100, + chunk_overlap=0, + ) +``` + +### Document Structure-Based + +For structured documents (Markdown, HTML, JSON, Code). + +| Type | Splitter | +|------|----------| +| Markdown | Split by headers (#, ##, ###) | +| HTML | Split by tags | +| JSON | Split by objects/arrays | +| Code | Split by functions/classes | + +--- + +## Usage in Nodes + +```python +# casts.{cast_name}.modules.nodes +from langchain_core.documents import Document +from casts.base_node import BaseNode +from .utils import get_text_splitter, get_vector_store + +class DocumentProcessorNode(BaseNode): + def __init__(self): + super().__init__() + self.splitter = get_text_splitter() + self.store = get_vector_store() + + def execute(self, state): + # Split documents + docs = [Document(page_content=text) for text in state["texts"]] + chunks = self.splitter.split_documents(docs) + + # Store chunks + self.store.add_documents(chunks) + + return {"chunk_count": len(chunks)} +``` diff --git a/.antigravity/resources/developing/integrations/vector-stores.md b/.antigravity/resources/developing/integrations/vector-stores.md new file mode 100644 index 0000000..a162b00 --- /dev/null +++ b/.antigravity/resources/developing/integrations/vector-stores.md @@ -0,0 +1,145 @@ +# Vector Stores + +Vector stores hold embedded data and perform similarity search. + +## Contents + +- Interface Methods +- Top Integrations (In-Memory, Chroma, FAISS, Pinecone, PGVector, Qdrant) +- Usage in Nodes + +## Interface Methods + +| Method | Description | +|--------|-------------| +| `add_documents(documents, ids)` | Add documents to store | +| `delete(ids)` | Remove documents by ID | +| `similarity_search(query, k, filter)` | Search for similar documents | + +## Top Integrations + +### In-Memory + +```python +# casts.{cast_name}.modules.utils +from langchain_core.vectorstores import InMemoryVectorStore +from .utils import get_embeddings + +def get_vector_store(): + return InMemoryVectorStore(embedding=get_embeddings()) +``` + +### Chroma + +```python +# casts.{cast_name}.modules.utils +from langchain_chroma import Chroma + +def get_chroma_store(): + return Chroma( + collection_name="my_collection", + embedding_function=get_embeddings(), + persist_directory="./chroma_db", + ) +``` + +### FAISS + +```python +# casts.{cast_name}.modules.utils +import faiss +from langchain_community.docstore.in_memory import InMemoryDocstore +from langchain_community.vectorstores import FAISS + +def get_faiss_store(): + embeddings = get_embeddings() + embedding_dim = len(embeddings.embed_query("test")) + index = faiss.IndexFlatL2(embedding_dim) + return FAISS( + embedding_function=embeddings, + index=index, + docstore=InMemoryDocstore(), + index_to_docstore_id={}, + ) +``` + +### Pinecone + +```python +# casts.{cast_name}.modules.utils +from langchain_pinecone import PineconeVectorStore +from pinecone import Pinecone + +def get_pinecone_store(api_key: str, index_name: str): + pc = Pinecone(api_key=api_key) + index = pc.Index(index_name) + return PineconeVectorStore(embedding=get_embeddings(), index=index) +``` + +### PGVector + +```python +# casts.{cast_name}.modules.utils +from langchain_postgres import PGVector + +def get_pgvector_store(connection_string: str): + return PGVector( + embeddings=get_embeddings(), + collection_name="my_docs", + connection=connection_string, + ) +``` + +### Qdrant + +```python +# casts.{cast_name}.modules.utils +from langchain_qdrant import QdrantVectorStore +from qdrant_client import QdrantClient +from qdrant_client.models import Distance, VectorParams + +def get_qdrant_store(): + client = QdrantClient(":memory:") + embeddings = get_embeddings() + vector_size = len(embeddings.embed_query("test")) + + if not client.collection_exists("my_collection"): + client.create_collection( + collection_name="my_collection", + vectors_config=VectorParams(size=vector_size, distance=Distance.COSINE), + ) + return QdrantVectorStore( + client=client, + collection_name="my_collection", + embedding=embeddings, + ) +``` + +--- + +## Usage in Nodes + +```python +# casts.{cast_name}.modules.nodes +from langchain_core.documents import Document +from casts.base_node import BaseNode +from .utils import get_vector_store + +class VectorStoreNode(BaseNode): + def __init__(self): + super().__init__() + self.store = get_vector_store() + + def execute(self, state): + # Add documents + docs = [Document(page_content=text) for text in state["texts"]] + self.store.add_documents(docs) + + # Search + results = self.store.similarity_search( + state["query"], + k=3, + filter={"source": "docs"}, # Optional metadata filter + ) + return {"results": [r.page_content for r in results]} +``` diff --git a/.antigravity/resources/developing/memory/long-term/in-tools.md b/.antigravity/resources/developing/memory/long-term/in-tools.md new file mode 100644 index 0000000..590d340 --- /dev/null +++ b/.antigravity/resources/developing/memory/long-term/in-tools.md @@ -0,0 +1,92 @@ +# Access Long-Term Memory in Tools + +## Read from Store + +```python +# casts.{cast_name}.modules.tools +from dataclasses import dataclass +from langchain.tools import tool, ToolRuntime + +@dataclass +class Context: + user_id: str + +@tool +def get_user_info(runtime: ToolRuntime[Context]) -> str: + """Look up user info from long-term memory.""" + store = runtime.store + user_id = runtime.context.user_id + user_info = store.get(("users",), user_id) + return str(user_info.value) if user_info else "Unknown user" +``` + +## Write to Store + +```python +# casts.{cast_name}.modules.tools +from dataclasses import dataclass +from typing_extensions import TypedDict +from langchain.tools import tool, ToolRuntime + +@dataclass +class Context: + user_id: str + +class UserInfo(TypedDict): + name: str + +@tool +def save_user_info(user_info: UserInfo, runtime: ToolRuntime[Context]) -> str: + """Save user info to long-term memory.""" + store = runtime.store + user_id = runtime.context.user_id + store.put(("users",), user_id, user_info) + return "Successfully saved user info." +``` + +## Agent Setup + +```python +# casts.{cast_name}.modules.agents +from dataclasses import dataclass +from langchain.agents import create_agent +from langgraph.store.memory import InMemoryStore +from .tools import get_user_info, save_user_info + +@dataclass +class Context: + user_id: str + +store = InMemoryStore() + +# Pre-populate data (optional) +store.put(("users",), "user_123", {"name": "John Smith", "language": "English"}) + +def set_memory_store_agent(): + return create_agent( + model=get_sample_model(), + tools=[get_user_info, save_user_info], + store=store, + context_schema=Context, + ) +``` + +## Node Usage + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .agents import set_memory_store_agent, Context + +class LongTermMemoryNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_memory_store_agent() + + def execute(self, state): + result = self.agent.invoke( + {"messages": [{"role": "user", "content": state["query"]}]}, + context=Context(user_id="user_123"), + ) + return {"messages": result["messages"]} +``` diff --git a/.antigravity/resources/developing/memory/long-term/memory-storage.md b/.antigravity/resources/developing/memory/long-term/memory-storage.md new file mode 100644 index 0000000..c796a32 --- /dev/null +++ b/.antigravity/resources/developing/memory/long-term/memory-storage.md @@ -0,0 +1,60 @@ +# Long-Term Memory Storage + +Long-term memory persists across sessions using LangGraph Store. + +## Store Structure + +Memories are organized by: +- **Namespace**: Hierarchical path (e.g., `(user_id, context)`) +- **Key**: Unique identifier within namespace + +```python +# casts.{cast_name}.modules.utils +from langgraph.store.memory import InMemoryStore + +def create_memory_store(): + """Create in-memory store. Use DB-backed store in production.""" + return InMemoryStore() + +def create_searchable_store(embed_fn, dims: int = 1536): + """Create store with vector search support.""" + return InMemoryStore(index={"embed": embed_fn, "dims": dims}) +``` + +## Basic Operations + +```python +# casts.{cast_name}.modules.utils +from langgraph.store.memory import InMemoryStore + +store = InMemoryStore() +user_id = "user_123" +namespace = (user_id, "preferences") + +# Write +store.put(namespace, "settings", {"theme": "dark", "language": "en"}) + +# Read +item = store.get(namespace, "settings") +value = item.value if item else None + +# Search (requires index) +items = store.search(namespace, filter={"theme": "dark"}, query="user preferences") +``` + +## Integrate with Agent + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .utils import create_memory_store + +store = create_memory_store() + +def set_agent_with_store(): + return create_agent( + model=get_sample_model(), + tools=[...], + store=store, + ) +``` diff --git a/.antigravity/resources/developing/memory/short-term/access-and-modify-memory.md b/.antigravity/resources/developing/memory/short-term/access-and-modify-memory.md new file mode 100644 index 0000000..c7b8a83 --- /dev/null +++ b/.antigravity/resources/developing/memory/short-term/access-and-modify-memory.md @@ -0,0 +1,141 @@ +# Access and Modify Memory + +## Contents + +- In Tools (Read State, Write State) +- In Middleware (Dynamic Prompt, Before Model - Trim Messages, After Model - Validate Response) + +## In Tools + +### Read State + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool, ToolRuntime +from langchain.agents import AgentState + +class CustomState(AgentState): + user_id: str + +@tool +def get_user_info(runtime: ToolRuntime) -> str: + """Look up user info.""" + user_id = runtime.state["user_id"] + return "User is John Smith" if user_id == "user_123" else "Unknown user" +``` + +### Write State + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool, ToolRuntime +from langchain.messages import ToolMessage +from langgraph.types import Command + +@tool +def update_user_info(runtime: ToolRuntime) -> Command: + """Update user info in state.""" + return Command(update={ + "user_name": "John Smith", + "messages": [ + ToolMessage("Updated user info", tool_call_id=runtime.tool_call_id) + ] + }) +``` + +--- + +## In Middleware + +### Dynamic Prompt from Context + +```python +# casts.{cast_name}.modules.middlewares +from typing import TypedDict +from langchain.agents.middleware import dynamic_prompt, ModelRequest + +class CustomContext(TypedDict): + user_name: str + +@dynamic_prompt +def dynamic_system_prompt(request: ModelRequest) -> str: + user_name = request.runtime.context["user_name"] + return f"You are a helpful assistant. Address user as {user_name}." +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import dynamic_system_prompt, CustomContext + +def set_dynamic_prompt_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[dynamic_system_prompt], + context_schema=CustomContext, + ) +``` + +### Before Model - Trim Messages + +```python +# casts.{cast_name}.modules.middlewares +from typing import Any +from langchain.messages import RemoveMessage +from langgraph.graph.message import REMOVE_ALL_MESSAGES +from langchain.agents import AgentState +from langchain.agents.middleware import before_model +from langgraph.runtime import Runtime + +@before_model +def trim_messages(state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + """Keep only last few messages.""" + messages = state["messages"] + if len(messages) <= 3: + return None + + first_msg = messages[0] + recent = messages[-3:] if len(messages) % 2 == 0 else messages[-4:] + + return { + "messages": [ + RemoveMessage(id=REMOVE_ALL_MESSAGES), + *([first_msg] + recent) + ] + } +``` + +### After Model - Validate Response + +```python +# casts.{cast_name}.modules.middlewares +from langchain.messages import RemoveMessage +from langchain.agents import AgentState +from langchain.agents.middleware import after_model +from langgraph.runtime import Runtime + +@after_model +def validate_response(state: AgentState, runtime: Runtime) -> dict | None: + """Remove messages containing sensitive words.""" + STOP_WORDS = ["password", "secret"] + last_message = state["messages"][-1] + if any(word in last_message.content for word in STOP_WORDS): + return {"messages": [RemoveMessage(id=last_message.id)]} + return None +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langgraph.checkpoint.memory import InMemorySaver +from .middlewares import trim_messages, validate_response + +def set_memory_managed_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[trim_messages, validate_response], + checkpointer=InMemorySaver(), + ) +``` diff --git a/.antigravity/resources/developing/memory/short-term/add-to-agent.md b/.antigravity/resources/developing/memory/short-term/add-to-agent.md new file mode 100644 index 0000000..6d41f89 --- /dev/null +++ b/.antigravity/resources/developing/memory/short-term/add-to-agent.md @@ -0,0 +1,59 @@ +# Add Short-Term Memory to Agent + +Short-term memory enables thread-level persistence within a single conversation. + +## Enable with Checkpointer + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langgraph.checkpoint.memory import InMemorySaver +from .models import get_sample_model + +def set_memory_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + checkpointer=InMemorySaver(), + ) +``` + +## Invoke with Thread ID + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .agents import set_memory_agent + +class MemoryNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_memory_agent() + + def execute(self, state, config): + thread_id = self.get_thread_id(config) or "default" + result = self.agent.invoke( + {"messages": [{"role": "user", "content": state["query"]}]}, + {"configurable": {"thread_id": thread_id}}, + ) + return {"messages": result["messages"]} +``` + +## Production Checkpointer + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langgraph.checkpoint.postgres import PostgresSaver + +DB_URI = "postgresql://user:pass@localhost:5432/db" + +def set_production_memory_agent(): + with PostgresSaver.from_conn_string(DB_URI) as checkpointer: + checkpointer.setup() # Auto create tables + return create_agent( + model=get_sample_model(), + tools=[...], + checkpointer=checkpointer, + ) +``` diff --git a/.antigravity/resources/developing/memory/short-term/customize-agent-memory.md b/.antigravity/resources/developing/memory/short-term/customize-agent-memory.md new file mode 100644 index 0000000..2b49179 --- /dev/null +++ b/.antigravity/resources/developing/memory/short-term/customize-agent-memory.md @@ -0,0 +1,50 @@ +# Customize Agent Memory + +Extend `AgentState` to add custom fields to short-term memory. + +```python +# casts.{cast_name}.modules.state +from langchain.agents import AgentState + +class CustomAgentState(AgentState): + user_id: str + preferences: dict +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langgraph.checkpoint.memory import InMemorySaver +from .state import CustomAgentState + +def set_custom_state_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + state_schema=CustomAgentState, + checkpointer=InMemorySaver(), + ) +``` + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .agents import set_custom_state_agent + +class CustomStateNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_custom_state_agent() + + def execute(self, state, config): + thread_id = self.get_thread_id(config) or "default" + result = self.agent.invoke( + { + "messages": [{"role": "user", "content": state["query"]}], + "user_id": "user_123", + "preferences": {"theme": "dark"}, + }, + {"configurable": {"thread_id": thread_id}}, + ) + return {"messages": result["messages"]} +``` diff --git a/.antigravity/resources/developing/memory/short-term/manage-conversations.md b/.antigravity/resources/developing/memory/short-term/manage-conversations.md new file mode 100644 index 0000000..92592b2 --- /dev/null +++ b/.antigravity/resources/developing/memory/short-term/manage-conversations.md @@ -0,0 +1,135 @@ +# Manage Conversations + +Strategies for handling long conversations that exceed context windows. + +## Contents + +- Trim Messages +- Delete Messages (Specific, All) +- Summarize Messages +- Combined Strategy + +## Trim Messages + +Keep only recent messages using `@before_model` middleware. + +```python +# casts.{cast_name}.modules.middlewares +from typing import Any +from langchain.messages import RemoveMessage +from langgraph.graph.message import REMOVE_ALL_MESSAGES +from langchain.agents import AgentState +from langchain.agents.middleware import before_model +from langgraph.runtime import Runtime + +@before_model +def trim_messages(state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + """Keep first message + last N messages.""" + messages = state["messages"] + if len(messages) <= 3: + return None + + first_msg = messages[0] + recent = messages[-3:] if len(messages) % 2 == 0 else messages[-4:] + + return { + "messages": [ + RemoveMessage(id=REMOVE_ALL_MESSAGES), + *([first_msg] + recent) + ] + } +``` + +--- + +## Delete Messages + +Remove specific messages from state using `RemoveMessage`. + +### Delete Specific Messages + +```python +# casts.{cast_name}.modules.middlewares +from langchain.messages import RemoveMessage +from langchain.agents import AgentState +from langchain.agents.middleware import after_model +from langgraph.runtime import Runtime + +@after_model +def delete_old_messages(state: AgentState, runtime: Runtime) -> dict | None: + """Remove earliest two messages.""" + messages = state["messages"] + if len(messages) > 2: + return {"messages": [RemoveMessage(id=m.id) for m in messages[:2]]} + return None +``` + +### Delete All Messages + +```python +# casts.{cast_name}.modules.middlewares +from langchain.messages import RemoveMessage +from langgraph.graph.message import REMOVE_ALL_MESSAGES + +def delete_all_messages(state): + return {"messages": [RemoveMessage(id=REMOVE_ALL_MESSAGES)]} +``` + +**Warning:** Ensure valid message history after deletion: +- Some providers require history to start with `user` message +- `assistant` messages with tool calls must be followed by `tool` results + +--- + +## Summarize Messages + +Use built-in `SummarizationMiddleware` to compress history. + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langchain.agents.middleware import SummarizationMiddleware +from langgraph.checkpoint.memory import InMemorySaver + +def set_summarizing_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[ + SummarizationMiddleware( + model="gpt-4o-mini", # Summarization model + trigger={"tokens": 4000}, # When to trigger + keep={"messages": 20}, # Messages to preserve + ) + ], + checkpointer=InMemorySaver(), + ) +``` + +--- + +## Combined Strategy + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langchain.agents.middleware import SummarizationMiddleware +from langgraph.checkpoint.memory import InMemorySaver +from .middlewares import trim_messages, validate_response + +def set_fully_managed_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[ + trim_messages, + SummarizationMiddleware( + model="gpt-4o-mini", + trigger={"tokens": 4000}, + keep={"messages": 20}, + ), + validate_response, + ], + checkpointer=InMemorySaver(), + ) +``` diff --git a/.antigravity/resources/developing/middlewares/custom.md b/.antigravity/resources/developing/middlewares/custom.md new file mode 100644 index 0000000..945b77e --- /dev/null +++ b/.antigravity/resources/developing/middlewares/custom.md @@ -0,0 +1,345 @@ +# Custom Middleware + +Build custom middleware by implementing hooks that run at specific points in the agent execution flow. + +## Contents + +- Hook Types +- Basic Class Structure +- Node-style Hooks (Message Limit Example) +- Wrap-style Hooks (Retry, Tool Monitoring) +- Custom State Schema +- Agent Jumps +- Dynamic Model Selection +- Dynamic Tool Selection +- System Message Modification +- Execution Order +- Best Practices + +## Hook Types + +| Type | Hooks | Description | +|------|-------|-------------| +| **Node-style** | `before_agent`, `before_model`, `after_model`, `after_agent` | Run sequentially at execution points | +| **Wrap-style** | `wrap_model_call`, `wrap_tool_call` | Run around each model/tool call | + +## Basic Class Structure + +```python +# casts.{cast_name}.modules.middlewares +from typing import Any, Callable +from langchain.agents.middleware import AgentMiddleware, AgentState, ModelRequest, ModelResponse, hook_config +from langgraph.runtime import Runtime + +class CustomMiddleware(AgentMiddleware): + def __init__(self, config_value: int = 10): + super().__init__() + self.config_value = config_value + + # Node-style hooks + def before_agent(self, state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + """Once per invocation, before agent starts.""" + return None + + def before_model(self, state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + """Before each model call.""" + return None + + def after_model(self, state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + """After each model response.""" + return None + + def after_agent(self, state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + """Once per invocation, after agent completes.""" + return None + + # Wrap-style hooks + def wrap_model_call( + self, + request: ModelRequest, + handler: Callable[[ModelRequest], ModelResponse], + ) -> ModelResponse: + """Around each model call.""" + return handler(request) + + def wrap_tool_call( + self, + request: ToolCallRequest, + handler: Callable[[ToolCallRequest], ToolMessage | Command], + ) -> ToolMessage | Command: + """Around each tool call.""" + return handler(request) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import CustomMiddleware + +def set_agent_with_custom_middleware(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[CustomMiddleware(config_value=20)], + ) +``` + +--- + +## Node-style Hooks + +### Message Limit Example + +```python +# casts.{cast_name}.modules.middlewares +from typing import Any +from langchain.agents.middleware import AgentMiddleware, AgentState, hook_config +from langchain.messages import AIMessage +from langgraph.runtime import Runtime + +class MessageLimitMiddleware(AgentMiddleware): + def __init__(self, max_messages: int = 50): + super().__init__() + self.max_messages = max_messages + + @hook_config(can_jump_to=["end"]) + def before_model(self, state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + if len(state["messages"]) >= self.max_messages: + return { + "messages": [AIMessage("Conversation limit reached.")], + "jump_to": "end" + } + return None + + def after_model(self, state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + print(f"Model returned: {state['messages'][-1].content}") + return None +``` + +--- + +## Wrap-style Hooks + +### Retry Example + +```python +# casts.{cast_name}.modules.middlewares +from typing import Callable +from langchain.agents.middleware import AgentMiddleware, ModelRequest, ModelResponse + +class RetryMiddleware(AgentMiddleware): + def __init__(self, max_retries: int = 3): + super().__init__() + self.max_retries = max_retries + + def wrap_model_call( + self, + request: ModelRequest, + handler: Callable[[ModelRequest], ModelResponse], + ) -> ModelResponse: + for attempt in range(self.max_retries): + try: + return handler(request) + except Exception as e: + if attempt == self.max_retries - 1: + raise + print(f"Retry {attempt + 1}/{self.max_retries}: {e}") +``` + +### Tool Monitoring Example + +```python +# casts.{cast_name}.modules.middlewares +from typing import Callable +from langchain.agents.middleware import AgentMiddleware +from langchain.tools.tool_node import ToolCallRequest +from langchain.messages import ToolMessage +from langgraph.types import Command + +class ToolMonitoringMiddleware(AgentMiddleware): + def wrap_tool_call( + self, + request: ToolCallRequest, + handler: Callable[[ToolCallRequest], ToolMessage | Command], + ) -> ToolMessage | Command: + print(f"Tool: {request.tool_call['name']}, Args: {request.tool_call['args']}") + try: + result = handler(request) + print("Tool completed") + return result + except Exception as e: + print(f"Tool failed: {e}") + raise +``` + +--- + +## Custom State Schema + +Extend agent state with custom properties. + +```python +# casts.{cast_name}.modules.middlewares +from typing import Any +from typing_extensions import NotRequired +from langchain.agents.middleware import AgentMiddleware, AgentState + +class CustomState(AgentState): + model_call_count: NotRequired[int] + user_id: NotRequired[str] + +class CallCounterMiddleware(AgentMiddleware[CustomState]): + state_schema = CustomState + + def before_model(self, state: CustomState, runtime) -> dict[str, Any] | None: + if state.get("model_call_count", 0) > 10: + return {"jump_to": "end"} + return None + + def after_model(self, state: CustomState, runtime) -> dict[str, Any] | None: + return {"model_call_count": state.get("model_call_count", 0) + 1} +``` + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from langchain.messages import HumanMessage +from .agents import set_agent_with_counter + +class CounterNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_agent_with_counter() + + def execute(self, state): + result = self.agent.invoke({ + "messages": [HumanMessage(state["query"])], + "model_call_count": 0, + "user_id": "user-123", + }) + return {"messages": result["messages"]} +``` + +--- + +## Agent Jumps + +Return `jump_to` to exit early. Requires `@hook_config(can_jump_to=[...])`. + +| Target | Description | +|--------|-------------| +| `"end"` | End agent execution | +| `"tools"` | Jump to tools node | +| `"model"` | Jump to model node | + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import AgentMiddleware, AgentState, hook_config +from langchain.messages import AIMessage + +class BlockedContentMiddleware(AgentMiddleware): + @hook_config(can_jump_to=["end"]) + def after_model(self, state: AgentState, runtime) -> dict[str, Any] | None: + if "BLOCKED" in state["messages"][-1].content: + return { + "messages": [AIMessage("Cannot respond to that request.")], + "jump_to": "end" + } + return None +``` + +--- + +## Dynamic Model Selection + +```python +# casts.{cast_name}.modules.middlewares +from typing import Callable +from langchain.agents.middleware import AgentMiddleware, ModelRequest, ModelResponse +from langchain.chat_models import init_chat_model + +class DynamicModelMiddleware(AgentMiddleware): + def __init__(self): + super().__init__() + self.complex_model = init_chat_model("gpt-4o") + self.simple_model = init_chat_model("gpt-4o-mini") + + def wrap_model_call( + self, + request: ModelRequest, + handler: Callable[[ModelRequest], ModelResponse], + ) -> ModelResponse: + model = self.complex_model if len(request.messages) > 10 else self.simple_model + return handler(request.override(model=model)) +``` + +--- + +## Dynamic Tool Selection + +```python +# casts.{cast_name}.modules.middlewares +from typing import Callable +from langchain.agents.middleware import AgentMiddleware, ModelRequest, ModelResponse + +class ToolSelectorMiddleware(AgentMiddleware): + def wrap_model_call( + self, + request: ModelRequest, + handler: Callable[[ModelRequest], ModelResponse], + ) -> ModelResponse: + relevant_tools = self._select_tools(request.state, request.runtime) + return handler(request.override(tools=relevant_tools)) + + def _select_tools(self, state, runtime): + # Implement tool selection logic + return [...] +``` + +--- + +## System Message Modification + +```python +# casts.{cast_name}.modules.middlewares +from typing import Callable +from langchain.agents.middleware import AgentMiddleware, ModelRequest, ModelResponse +from langchain.messages import SystemMessage + +class ContextMiddleware(AgentMiddleware): + def wrap_model_call( + self, + request: ModelRequest, + handler: Callable[[ModelRequest], ModelResponse], + ) -> ModelResponse: + new_content = list(request.system_message.content_blocks) + [ + {"type": "text", "text": "Additional context."} + ] + new_system_message = SystemMessage(content=new_content) + return handler(request.override(system_message=new_system_message)) +``` + +--- + +## Execution Order + +```python +middleware=[middleware1, middleware2, middleware3] +``` + +| Phase | Order | +|-------|-------| +| `before_*` | 1 → 2 → 3 (first to last) | +| `wrap_*` | 1 wraps 2 wraps 3 wraps call | +| `after_*` | 3 → 2 → 1 (last to first) | + +--- + +## Best Practices + +1. Keep middleware focused on single responsibility +2. Handle errors gracefully +3. Use node-style for logging/validation, wrap-style for retry/caching +4. Document custom state properties +5. Test middleware independently +6. Place critical middleware first in list diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/context-editing.md b/.antigravity/resources/developing/middlewares/provider-agnostic/context-editing.md new file mode 100644 index 0000000..3396d00 --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/context-editing.md @@ -0,0 +1,45 @@ +# Context Editing + +Clears older tool call outputs when token limits are reached, preserving recent results. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import ContextEditingMiddleware, ClearToolUsesEdit + +def get_context_editing_middleware(): + return ContextEditingMiddleware( + edits=[ + ClearToolUsesEdit( + trigger=100000, # Token count threshold + keep=3, # Keep recent N tool results + ), + ], + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_context_editing_middleware + +def set_agent_with_context_editing(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[get_context_editing_middleware()], + ) +``` + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `trigger` | 100000 | Token count that triggers clearing | +| `keep` | 3 | Recent tool results to preserve | +| `clear_at_least` | 0 | Minimum tokens to reclaim | +| `clear_tool_inputs` | False | Clear tool call arguments too | +| `exclude_tools` | () | Tool names to never clear | +| `placeholder` | "[cleared]" | Replacement text for cleared outputs | +| `token_count_method` | "approximate" | `'approximate'` or `'model'` | diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/file-search.md b/.antigravity/resources/developing/middlewares/provider-agnostic/file-search.md new file mode 100644 index 0000000..8899ec4 --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/file-search.md @@ -0,0 +1,45 @@ +# File Search + +Provide Glob and Grep search tools over filesystem files. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import FilesystemFileSearchMiddleware + +def get_file_search_middleware(): + return FilesystemFileSearchMiddleware( + root_path="/workspace", + use_ripgrep=True, + max_file_size_mb=10, + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_file_search_middleware + +def set_file_search_agent(): + return create_agent( + model=get_sample_model(), + tools=[], # Middleware adds glob_search and grep_search + middleware=[get_file_search_middleware()], + ) +``` + +## Provided Tools + +| Tool | Description | +|------|-------------| +| `glob_search` | File pattern matching (`**/*.py`, `src/**/*.ts`) | +| `grep_search` | Content search with regex, supports `include` filter and output modes | + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `root_path` | Required | Root directory for searches | +| `use_ripgrep` | True | Use ripgrep (falls back to Python regex) | +| `max_file_size_mb` | 10 | Skip files larger than this | diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/guardrails.md b/.antigravity/resources/developing/middlewares/provider-agnostic/guardrails.md new file mode 100644 index 0000000..a188341 --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/guardrails.md @@ -0,0 +1,122 @@ +# Guardrails + +Implement safety checks and content filtering at key execution points. + +## Contents + +- Built-in: PII Detection +- Custom: Before Agent Guardrail +- Custom: After Agent Guardrail +- Combining Guardrails + +## Built-in: PII Detection + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import PIIMiddleware + +def get_pii_middlewares(): + return [ + PIIMiddleware("email", strategy="redact", apply_to_input=True), + PIIMiddleware("credit_card", strategy="mask", apply_to_input=True), + PIIMiddleware( + "api_key", + detector=r"sk-[a-zA-Z0-9]{32}", # Custom regex + strategy="block", + apply_to_input=True, + ), + ] +``` + +**Strategies:** `redact` → `[REDACTED_TYPE]`, `mask` → `****1234`, `hash` → deterministic hash, `block` → raise error + +**Built-in PII types:** `email`, `credit_card`, `ip`, `mac_address`, `url` + +**Parameters:** `apply_to_input` (True), `apply_to_output` (False), `apply_to_tool_results` (False) + +## Custom: Before Agent Guardrail + +Block requests containing banned keywords before processing. + +```python +# casts.{cast_name}.modules.middlewares +from typing import Any +from langchain.agents.middleware import AgentMiddleware, AgentState, hook_config +from langgraph.runtime import Runtime + +class ContentFilterMiddleware(AgentMiddleware): + def __init__(self, banned_keywords: list[str]): + super().__init__() + self.banned_keywords = [kw.lower() for kw in banned_keywords] + + @hook_config(can_jump_to=["end"]) + def before_agent(self, state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + if not state["messages"]: + return None + + first_message = state["messages"][0] + if first_message.type != "human": + return None + + content = first_message.content.lower() + for keyword in self.banned_keywords: + if keyword in content: + return { + "messages": [{"role": "assistant", "content": "Cannot process this request."}], + "jump_to": "end" + } + return None +``` + +## Custom: After Agent Guardrail + +Validate final outputs using LLM-based safety check. + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import AgentMiddleware, AgentState, hook_config +from langchain.messages import AIMessage +from langchain.chat_models import init_chat_model + +class SafetyGuardrailMiddleware(AgentMiddleware): + def __init__(self): + super().__init__() + self.safety_model = init_chat_model("gpt-4o-mini") + + @hook_config(can_jump_to=["end"]) + def after_agent(self, state: AgentState, runtime: Runtime) -> dict[str, Any] | None: + if not state["messages"]: + return None + + last_message = state["messages"][-1] + if not isinstance(last_message, AIMessage): + return None + + safety_prompt = f"Evaluate if safe. Respond 'SAFE' or 'UNSAFE'.\n\nResponse: {last_message.content}" + result = self.safety_model.invoke([{"role": "user", "content": safety_prompt}]) + + if "UNSAFE" in result.content: + last_message.content = "I cannot provide that response." + return None +``` + +## Combining Guardrails + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langchain.agents.middleware import PIIMiddleware, HumanInTheLoopMiddleware +from .middlewares import ContentFilterMiddleware, SafetyGuardrailMiddleware + +def set_guarded_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[ + ContentFilterMiddleware(banned_keywords=["hack", "exploit"]), + PIIMiddleware("email", strategy="redact", apply_to_input=True), + HumanInTheLoopMiddleware(interrupt_on={"send_email": True}), + SafetyGuardrailMiddleware(), + ], + ) +``` diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/human-in-the-loop.md b/.antigravity/resources/developing/middlewares/provider-agnostic/human-in-the-loop.md new file mode 100644 index 0000000..618c982 --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/human-in-the-loop.md @@ -0,0 +1,97 @@ +# Human-in-the-Loop + +Pause execution for human approval before sensitive tool calls. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import HumanInTheLoopMiddleware + +def get_hitl_middleware(): + return HumanInTheLoopMiddleware( + interrupt_on={ + "send_email": True, # All decisions allowed + "execute_sql": {"allowed_decisions": ["approve", "reject"]}, # No editing + "read_data": False, # Auto-approve + }, + description_prefix="Tool execution pending approval", + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from langgraph.checkpoint.memory import InMemorySaver +from .middlewares import get_hitl_middleware + +def set_hitl_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[get_hitl_middleware()], + checkpointer=InMemorySaver(), # Required for HITL + ) +``` + +## Decision Types + +| Type | Description | +|------|-------------| +| `approve` | Execute tool call as-is | +| `edit` | Modify arguments before execution | +| `reject` | Reject with feedback message | + +## Invoking with HITL + +```python +# casts.{cast_name}.modules.nodes +from langgraph.types import Command +from casts.base_node import BaseNode +from .agents import set_hitl_agent + +class HITLNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_hitl_agent() + + def execute(self, state, config): + thread_id = self.get_thread_id(config) or "default" + agent_config = {"configurable": {"thread_id": thread_id}} + + result = self.agent.invoke( + {"messages": [{"role": "user", "content": state["query"]}]}, + config=agent_config + ) + + # Check for interrupt + if "__interrupt__" in result: + # Return interrupt info for external handling + return {"interrupt": result["__interrupt__"]} + + return {"messages": result["messages"]} +``` + +## Resuming After Interrupt + +```python +from langgraph.types import Command + +# Approve +agent.invoke(Command(resume={"decisions": [{"type": "approve"}]}), config=config) + +# Edit +agent.invoke( + Command(resume={"decisions": [{ + "type": "edit", + "edited_action": {"name": "tool_name", "args": {"param": "new_value"}} + }]}), + config=config +) + +# Reject +agent.invoke( + Command(resume={"decisions": [{"type": "reject", "message": "Reason for rejection"}]}), + config=config +) +``` diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/llm-tool-emulator.md b/.antigravity/resources/developing/middlewares/provider-agnostic/llm-tool-emulator.md new file mode 100644 index 0000000..1488ebe --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/llm-tool-emulator.md @@ -0,0 +1,46 @@ +# LLM Tool Emulator + +Emulate tool execution using an LLM for testing purposes. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import LLMToolEmulator + +def get_tool_emulator_middleware(): + return LLMToolEmulator() # Emulate all tools +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_tool_emulator_middleware + +def set_test_agent(): + return create_agent( + model=get_sample_model(), + tools=[get_weather, send_email], + middleware=[get_tool_emulator_middleware()], + ) +``` + +## Selective Emulation + +```python +# casts.{cast_name}.modules.middlewares +def get_selective_emulator(): + return LLMToolEmulator( + tools=["get_weather"], # Only emulate these + model="claude-3-5-sonnet-20241022", # Custom emulation model + ) +``` + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `tools` | None | Tools to emulate (None = all, [] = none) | +| `model` | Agent's model | Model for generating responses | + +Use for testing agent behavior without executing real tools. diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/llm-tool-selector.md b/.antigravity/resources/developing/middlewares/provider-agnostic/llm-tool-selector.md new file mode 100644 index 0000000..7d1d35e --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/llm-tool-selector.md @@ -0,0 +1,41 @@ +# LLM Tool Selector + +Use an LLM to select relevant tools before calling the main model. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import LLMToolSelectorMiddleware + +def get_tool_selector_middleware(): + return LLMToolSelectorMiddleware( + model="gpt-4o-mini", # Selection model + max_tools=3, # Max tools to select + always_include=["search"], # Always available + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_tool_selector_middleware + +def set_agent_with_tool_selection(): + return create_agent( + model=get_sample_model(), + tools=[tool1, tool2, tool3, tool4, tool5, ...], # Many tools + middleware=[get_tool_selector_middleware()], + ) +``` + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `model` | Agent's model | Model for tool selection | +| `max_tools` | None | Max tools to select | +| `always_include` | [] | Tools always included (don't count against max) | +| `system_prompt` | Built-in | Custom selection instructions | + +Best for agents with 10+ tools where most aren't relevant per query. diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/model-call-limit.md b/.antigravity/resources/developing/middlewares/provider-agnostic/model-call-limit.md new file mode 100644 index 0000000..e01defe --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/model-call-limit.md @@ -0,0 +1,38 @@ +# Model Call Limit + +Limit model calls to prevent infinite loops or excessive costs. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import ModelCallLimitMiddleware + +def get_model_limit_middleware(): + return ModelCallLimitMiddleware( + thread_limit=10, # Max across all runs in thread + run_limit=5, # Max per single invocation + exit_behavior="end", # 'end' or 'error' + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_model_limit_middleware + +def set_limited_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[get_model_limit_middleware()], + ) +``` + +## Parameters + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `thread_limit` | None | Max calls across all runs in thread | +| `run_limit` | None | Max calls per invocation | +| `exit_behavior` | "end" | `'end'` (graceful) or `'error'` (exception) | diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/model-fallback.md b/.antigravity/resources/developing/middlewares/provider-agnostic/model-fallback.md new file mode 100644 index 0000000..f5133c8 --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/model-fallback.md @@ -0,0 +1,36 @@ +# Model Fallback + +Automatically fallback to alternative models when primary model fails. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import ModelFallbackMiddleware + +def get_model_fallback_middleware(): + return ModelFallbackMiddleware( + "gpt-4o-mini", # First fallback + "claude-3-5-sonnet-20241022", # Second fallback + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_model_fallback_middleware + +def set_resilient_agent(): + return create_agent( + model=get_sample_model(), # Primary model + tools=[...], + middleware=[get_model_fallback_middleware()], + ) +``` + +## Parameters + +| Parameter | Description | +|-----------|-------------| +| `first_model` | First fallback model (string or BaseChatModel) | +| `*additional_models` | Additional fallbacks in order | diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/model-retry.md b/.antigravity/resources/developing/middlewares/provider-agnostic/model-retry.md new file mode 100644 index 0000000..80754aa --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/model-retry.md @@ -0,0 +1,59 @@ +# Model Retry + +Automatically retry failed model calls with exponential backoff. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import ModelRetryMiddleware + +def get_model_retry_middleware(): + return ModelRetryMiddleware( + max_retries=3, + backoff_factor=2.0, + initial_delay=1.0, + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_model_retry_middleware + +def set_resilient_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[get_model_retry_middleware()], + ) +``` + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `max_retries` | 2 | Retry attempts after initial call | +| `retry_on` | `(Exception,)` | Exception types or callable filter | +| `on_failure` | "continue" | `'continue'`, `'error'`, or callable | +| `backoff_factor` | 2.0 | Exponential multiplier (0.0 = constant) | +| `initial_delay` | 1.0 | First retry delay (seconds) | +| `max_delay` | 60.0 | Maximum delay cap | +| `jitter` | True | Add ±25% random variation | + +## Custom Exception Filter + +```python +# casts.{cast_name}.modules.middlewares +def should_retry(error: Exception) -> bool: + if hasattr(error, "status_code"): + return error.status_code in (429, 503) # Rate limit, service unavailable + return False + +def get_selective_retry_middleware(): + return ModelRetryMiddleware( + max_retries=4, + retry_on=should_retry, + on_failure="error", # Raise after exhausting retries + ) +``` diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/shell-tool.md b/.antigravity/resources/developing/middlewares/provider-agnostic/shell-tool.md new file mode 100644 index 0000000..6815fb6 --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/shell-tool.md @@ -0,0 +1,69 @@ +# Shell Tool + +Expose a persistent shell session to agents for command execution. + +**Warning:** Use appropriate execution policies for your security requirements. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import ShellToolMiddleware, HostExecutionPolicy + +def get_shell_middleware(): + return ShellToolMiddleware( + workspace_root="/workspace", + execution_policy=HostExecutionPolicy(), + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_shell_middleware + +def set_shell_agent(): + return create_agent( + model=get_sample_model(), + tools=[], # Middleware adds shell tool + middleware=[get_shell_middleware()], + ) +``` + +## Execution Policies + +| Policy | Description | +|--------|-------------| +| `HostExecutionPolicy` | Full host access (default) | +| `DockerExecutionPolicy` | Isolated Docker container | +| `CodexSandboxExecutionPolicy` | Codex CLI sandbox | + +## Docker Isolation Example + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import ShellToolMiddleware, DockerExecutionPolicy + +def get_isolated_shell_middleware(): + return ShellToolMiddleware( + workspace_root="/workspace", + startup_commands=["pip install requests"], + execution_policy=DockerExecutionPolicy( + image="python:3.11-slim", + command_timeout=60.0, + ), + ) +``` + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `workspace_root` | Temp dir | Base directory for shell | +| `startup_commands` | None | Commands on session start | +| `shutdown_commands` | None | Commands before shutdown | +| `execution_policy` | HostExecutionPolicy | Security policy | +| `redaction_rules` | None | Output sanitization rules | +| `env` | None | Environment variables | + +**Note:** Persistent sessions do not work with HITL interrupts. diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/summarization.md b/.antigravity/resources/developing/middlewares/provider-agnostic/summarization.md new file mode 100644 index 0000000..f0cd1ef --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/summarization.md @@ -0,0 +1,55 @@ +# Summarization + +Automatically summarize conversation history when approaching token limits. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import SummarizationMiddleware + +def get_summarization_middleware(): + return SummarizationMiddleware( + model="gpt-4o-mini", # Model for summarization + trigger={"tokens": 4000}, # When to trigger + keep={"messages": 20}, # What to preserve + ) +``` + +## Trigger Conditions + +Single condition (AND logic) or list of conditions (OR logic): + +```python +# Single: trigger if tokens >= 4000 AND messages >= 10 +trigger={"tokens": 4000, "messages": 10} + +# Multiple: trigger if (tokens >= 5000 AND messages >= 3) OR (tokens >= 3000 AND messages >= 6) +trigger=[ + {"tokens": 5000, "messages": 3}, + {"tokens": 3000, "messages": 6}, +] + +# Fractional: trigger at 80% of model's context size +trigger={"fraction": 0.8} +``` + +## Keep Conditions + +Specify exactly one: + +```python +keep={"messages": 20} # Keep last 20 messages +keep={"tokens": 2000} # Keep ~2000 tokens +keep={"fraction": 0.3} # Keep 30% of context +``` + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `model` | Required | Model for generating summaries | +| `trigger` | None | Conditions to trigger summarization | +| `keep` | `{messages: 20}` | What to preserve after summarization | +| `summary_prompt` | Built-in | Custom summarization prompt | +| `trim_tokens_to_summarize` | 4000 | Max tokens for summary generation | diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/to-do-list.md b/.antigravity/resources/developing/middlewares/provider-agnostic/to-do-list.md new file mode 100644 index 0000000..c3e28b1 --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/to-do-list.md @@ -0,0 +1,35 @@ +# To-Do List + +Equip agents with task planning and tracking for multi-step tasks. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import TodoListMiddleware + +def get_todo_middleware(): + return TodoListMiddleware() +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_todo_middleware + +def set_planning_agent(): + return create_agent( + model=get_sample_model(), + tools=[read_file, write_file, run_tests], + middleware=[get_todo_middleware()], + ) +``` + +Automatically provides agents with a `write_todos` tool and system prompts for task planning. + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `system_prompt` | Built-in | Custom guidance for todo usage | +| `tool_description` | Built-in | Custom `write_todos` tool description | diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/tool-call-limit.md b/.antigravity/resources/developing/middlewares/provider-agnostic/tool-call-limit.md new file mode 100644 index 0000000..a3ca05e --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/tool-call-limit.md @@ -0,0 +1,48 @@ +# Tool Call Limit + +Limit tool calls globally or per specific tool. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import ToolCallLimitMiddleware + +def get_tool_limit_middlewares(): + return [ + ToolCallLimitMiddleware(thread_limit=20, run_limit=10), # Global + ToolCallLimitMiddleware(tool_name="search", thread_limit=5, run_limit=3), # Specific + ] +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_tool_limit_middlewares + +def set_limited_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=get_tool_limit_middlewares(), + ) +``` + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `tool_name` | None | Specific tool (None = all tools) | +| `thread_limit` | None | Max across all runs in thread | +| `run_limit` | None | Max per invocation | +| `exit_behavior` | "continue" | `'continue'`, `'error'`, `'end'` | + +**Note:** At least one of `thread_limit` or `run_limit` must be specified. + +## Exit Behaviors + +| Behavior | Description | +|----------|-------------| +| `continue` | Block exceeded calls with error, let agent continue | +| `error` | Raise `ToolCallLimitExceededError` immediately | +| `end` | Stop with ToolMessage (single-tool only) | diff --git a/.antigravity/resources/developing/middlewares/provider-agnostic/tool-retry.md b/.antigravity/resources/developing/middlewares/provider-agnostic/tool-retry.md new file mode 100644 index 0000000..606c02d --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-agnostic/tool-retry.md @@ -0,0 +1,56 @@ +# Tool Retry + +Automatically retry failed tool calls with exponential backoff. + +## Basic Usage + +```python +# casts.{cast_name}.modules.middlewares +from langchain.agents.middleware import ToolRetryMiddleware + +def get_tool_retry_middleware(): + return ToolRetryMiddleware( + max_retries=3, + backoff_factor=2.0, + initial_delay=1.0, + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .middlewares import get_tool_retry_middleware + +def set_resilient_agent(): + return create_agent( + model=get_sample_model(), + tools=[...], + middleware=[get_tool_retry_middleware()], + ) +``` + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `max_retries` | 2 | Retry attempts after initial call | +| `tools` | None | Specific tools to apply (None = all) | +| `retry_on` | `(Exception,)` | Exception types or callable filter | +| `on_failure` | "return_message" | `'return_message'`, `'raise'`, or callable | +| `backoff_factor` | 2.0 | Exponential multiplier | +| `initial_delay` | 1.0 | First retry delay (seconds) | +| `max_delay` | 60.0 | Maximum delay cap | +| `jitter` | True | Add ±25% random variation | + +## Selective Tool Retry + +```python +# casts.{cast_name}.modules.middlewares +def get_api_retry_middleware(): + return ToolRetryMiddleware( + max_retries=3, + tools=["api_tool", "external_service"], # Only these tools + retry_on=(ConnectionError, TimeoutError), + on_failure="return_message", + ) +``` diff --git a/.antigravity/resources/developing/middlewares/provider-specific/anthropic.md b/.antigravity/resources/developing/middlewares/provider-specific/anthropic.md new file mode 100644 index 0000000..230b140 --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-specific/anthropic.md @@ -0,0 +1,180 @@ +# Anthropic Middleware + +Middleware designed for Claude models. + +## Contents + +- Prompt Caching +- Bash Tool +- Text Editor (State-based, Filesystem-based) +- Memory (State-based, Filesystem-based) +- File Search (State-based) + +## Prompt Caching + +Reduce costs and latency by caching static prompt content. + +```python +# casts.{cast_name}.modules.middlewares +from langchain_anthropic.middleware import AnthropicPromptCachingMiddleware + +def get_prompt_caching_middleware(): + return AnthropicPromptCachingMiddleware(ttl="5m") +``` + +```python +# casts.{cast_name}.modules.agents +from langchain_anthropic import ChatAnthropic +from langchain.agents import create_agent +from .middlewares import get_prompt_caching_middleware + +def set_cached_agent(): + return create_agent( + model=ChatAnthropic(model="claude-sonnet-4-5-20250929"), + system_prompt="", + middleware=[get_prompt_caching_middleware()], + ) +``` + +### Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `type` | "ephemeral" | Cache type | +| `ttl` | "5m" | Time to live: `'5m'` or `'1h'` | +| `min_messages_to_cache` | 0 | Min messages before caching | +| `unsupported_model_behavior` | "warn" | `'ignore'`, `'warn'`, `'raise'` | + +--- + +## Bash Tool + +Execute Claude's native `bash_20250124` tool with local execution. + +```python +# casts.{cast_name}.modules.middlewares +from langchain_anthropic.middleware import ClaudeBashToolMiddleware + +def get_claude_bash_middleware(): + return ClaudeBashToolMiddleware(workspace_root="/workspace") +``` + +```python +# casts.{cast_name}.modules.agents +from langchain_anthropic import ChatAnthropic +from langchain.agents import create_agent +from .middlewares import get_claude_bash_middleware + +def set_bash_agent(): + return create_agent( + model=ChatAnthropic(model="claude-sonnet-4-5-20250929"), + tools=[], + middleware=[get_claude_bash_middleware()], + ) +``` + +Accepts all `ShellToolMiddleware` parameters: `workspace_root`, `startup_commands`, `execution_policy`, `redaction_rules`. + +--- + +## Text Editor + +Provide Claude's `text_editor_20250728` tool for file operations. + +### State-based (files in LangGraph state) + +```python +# casts.{cast_name}.modules.middlewares +from langchain_anthropic.middleware import StateClaudeTextEditorMiddleware + +def get_state_text_editor_middleware(): + return StateClaudeTextEditorMiddleware( + allowed_path_prefixes=["/project"], + ) +``` + +### Filesystem-based (files on disk) + +```python +# casts.{cast_name}.modules.middlewares +from langchain_anthropic.middleware import FilesystemClaudeTextEditorMiddleware + +def get_fs_text_editor_middleware(): + return FilesystemClaudeTextEditorMiddleware( + root_path="/workspace", + allowed_prefixes=["/src"], + max_file_size_mb=10, + ) +``` + +**Commands:** `view`, `create`, `str_replace`, `insert`, `delete`, `rename` + +--- + +## Memory + +Provide Claude's `memory_20250818` tool for persistent agent memory. + +### State-based + +```python +# casts.{cast_name}.modules.middlewares +from langchain_anthropic.middleware import StateClaudeMemoryMiddleware + +def get_state_memory_middleware(): + return StateClaudeMemoryMiddleware() # Uses /memories directory +``` + +### Filesystem-based + +```python +# casts.{cast_name}.modules.middlewares +from langchain_anthropic.middleware import FilesystemClaudeMemoryMiddleware + +def get_fs_memory_middleware(): + return FilesystemClaudeMemoryMiddleware(root_path="/workspace") +``` + +--- + +## File Search (State-based) + +Provide Glob and Grep tools for state-based files. + +```python +# casts.{cast_name}.modules.middlewares +from langchain_anthropic.middleware import ( + StateClaudeTextEditorMiddleware, + StateFileSearchMiddleware, +) + +def get_editor_with_search_middlewares(): + return [ + StateClaudeTextEditorMiddleware(), + StateFileSearchMiddleware(state_key="text_editor_files"), + ] + +def get_memory_with_search_middlewares(): + return [ + StateClaudeMemoryMiddleware(), + StateFileSearchMiddleware(state_key="memory_files"), + ] +``` + +```python +# casts.{cast_name}.modules.agents +from langchain_anthropic import ChatAnthropic +from langchain.agents import create_agent +from .middlewares import get_editor_with_search_middlewares + +def set_editor_agent(): + return create_agent( + model=ChatAnthropic(model="claude-sonnet-4-5-20250929"), + tools=[], + middleware=get_editor_with_search_middlewares(), + ) +``` + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `state_key` | "text_editor_files" | `"text_editor_files"` or `"memory_files"` | diff --git a/.antigravity/resources/developing/middlewares/provider-specific/openai.md b/.antigravity/resources/developing/middlewares/provider-specific/openai.md new file mode 100644 index 0000000..ae9940d --- /dev/null +++ b/.antigravity/resources/developing/middlewares/provider-specific/openai.md @@ -0,0 +1,65 @@ +# OpenAI Middleware + +## Content Moderation + +Moderate agent traffic using OpenAI's moderation endpoint. + +```python +# casts.{cast_name}.modules.middlewares +from langchain_openai.middleware import OpenAIModerationMiddleware + +def get_openai_moderation_middleware(): + return OpenAIModerationMiddleware( + model="omni-moderation-latest", + check_input=True, + check_output=True, + exit_behavior="end", + ) +``` + +```python +# casts.{cast_name}.modules.agents +from langchain_openai import ChatOpenAI +from langchain.agents import create_agent +from .middlewares import get_openai_moderation_middleware + +def set_moderated_agent(): + return create_agent( + model=ChatOpenAI(model="gpt-4o"), + tools=[...], + middleware=[get_openai_moderation_middleware()], + ) +``` + +## Configuration Options + +| Parameter | Default | Description | +|-----------|---------|-------------| +| `model` | "omni-moderation-latest" | Moderation model | +| `check_input` | True | Check user messages before model call | +| `check_output` | True | Check AI messages after model call | +| `check_tool_results` | False | Check tool results before model call | +| `exit_behavior` | "end" | `'end'`, `'error'`, or `'replace'` | +| `violation_message` | Built-in | Custom message with `{categories}`, `{category_scores}`, `{original_content}` | + +## Exit Behaviors + +| Behavior | Description | +|----------|-------------| +| `end` | Stop execution with violation message | +| `error` | Raise `OpenAIModerationError` exception | +| `replace` | Replace flagged content, continue execution | + +## Custom Violation Message + +```python +# casts.{cast_name}.modules.middlewares +def get_strict_moderation_middleware(): + return OpenAIModerationMiddleware( + check_input=True, + check_output=True, + check_tool_results=True, + exit_behavior="error", + violation_message="Policy violation: {categories}. Please rephrase.", + ) +``` diff --git a/.antigravity/resources/developing/models/select-chat-models.md b/.antigravity/resources/developing/models/select-chat-models.md new file mode 100644 index 0000000..d281a99 --- /dev/null +++ b/.antigravity/resources/developing/models/select-chat-models.md @@ -0,0 +1,32 @@ +# Chat Models + +## Featured Providers + +| Model Class | Tool Calling | Structured Output | JSON Mode | Multimodal | +|-------------|--------------|-------------------|-----------|------------| +| `ChatOpenAI` | ✅ | ✅ | ✅ | ✅ | +| `ChatAnthropic` | ✅ | ✅ | ❌ | ✅ | +| `AzureChatOpenAI` | ✅ | ✅ | ✅ | ✅ | +| `ChatGoogleGenerativeAI` | ✅ | ✅ | ❌ | ✅ | +| `ChatVertexAI` | ✅ | ✅ | ❌ | ✅ | +| `ChatBedrock` | ✅ | ✅ | ❌ | ❌ | +| `ChatGroq` | ✅ | ✅ | ✅ | ❌ | +| `ChatMistralAI` | ✅ | ✅ | ❌ | ❌ | +| `ChatOllama` | ✅ | ✅ | ✅ | ❌ | +| `ChatHuggingFace` | ✅ | ✅ | ❌ | ❌ | + +## OpenAI-Compatible Endpoints + +Use `ChatOpenAI` with custom `base_url` for compatible providers. + +```python +# casts.{cast_name}.modules.models +# write api key in .env +from langchain_openai import ChatOpenAI + +def get_openrouter_model(): + return ChatOpenAI( + model="...", # Model available on OpenRouter + base_url="https://openrouter.ai/api/v1", + ) +``` \ No newline at end of file diff --git a/.antigravity/resources/developing/models/standalone-model.md b/.antigravity/resources/developing/models/standalone-model.md new file mode 100644 index 0000000..7dcfcf8 --- /dev/null +++ b/.antigravity/resources/developing/models/standalone-model.md @@ -0,0 +1,123 @@ +# Models + +Models can be used standalone or within agents. + +## Contents + +- Initialize Models (OpenAI, Anthropic, Azure OpenAI, Google Gemini, AWS Bedrock) +- Common Parameters +- Usage in Agents +- Usage in Nodes (Standalone) + +## Initialize Models + +Approache: provider-specific classes. + +### OpenAI + +```python +# casts.{cast_name}.modules.models +from langchain_openai import ChatOpenAI + +def get_openai_model_configured(): + return ChatOpenAI( + model="gpt-4o", + temperature=0.1, + max_tokens=1000, + timeout=30, + ) +``` + +### Anthropic + +```python +# casts.{cast_name}.modules.models +from langchain_anthropic import ChatAnthropic + +def get_anthropic_model_configured(): + return ChatAnthropic( + model="claude-sonnet-4-5-20250929", + temperature=0.1, + max_tokens=1000, + ) +``` + +### Azure OpenAI + +```python +# casts.{cast_name}.modules.models +import os +from langchain_openai import AzureChatOpenAI + +def get_azure_model_configured(): + return AzureChatOpenAI( + model="gpt-4o", + azure_deployment=os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"], + ) +``` + +### Google Gemini + +```python +# casts.{cast_name}.modules.models +from langchain_google_genai import ChatGoogleGenerativeAI + +def get_gemini_model_configured(): + return ChatGoogleGenerativeAI(model="gemini-2.5-flash-lite") +``` + +### AWS Bedrock + +```python +# casts.{cast_name}.modules.models +from langchain_aws import ChatBedrock + +def get_bedrock_model_configured(): + return ChatBedrock(model="anthropic.claude-3-5-sonnet-20240620-v1:0") +``` + +--- + +## Common Parameters + +| Parameter | Type | Description | +|-----------|------|-------------| +| `model` | string | Model identifier (e.g., `"gpt-4o"`, `"openai:gpt-4o"`) | +| `api_key` | string | Provider API key (usually via env var) | +| `temperature` | number | Output randomness (0.0-1.0) | +| `max_tokens` | number | Maximum response tokens | +| `timeout` | number | Request timeout in seconds | +| `max_retries` | number | Retry attempts on failure | + +--- + +## Usage in Agents + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .models import get_openai_model_configured + +def set_sample_agent(): + return create_agent( + model=get_openai_model_configured(), + tools=[...], + ) +``` + +## Usage in Nodes (Standalone) + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .models import get_openai_model_configured + +class LLMNode(BaseNode): + def __init__(self): + super().__init__() + self.model = get_openai_model_configured() + + def execute(self, state): + response = self.model.invoke(state["messages"]) + return {"messages": [response]} +``` \ No newline at end of file diff --git a/.antigravity/resources/developing/models/structured-output.md b/.antigravity/resources/developing/models/structured-output.md new file mode 100644 index 0000000..7efc650 --- /dev/null +++ b/.antigravity/resources/developing/models/structured-output.md @@ -0,0 +1,114 @@ +# Model Structured Output + +Request standalone models to return structured data using Pydantic schemas. + +## Contents + +- Basic Usage +- Node Usage +- Include Raw Response +- Nested Structures +- Method Parameter + +## Basic Usage + +```python +# casts.{cast_name}.modules.models +from pydantic import BaseModel, Field +from langchain_openai import ChatOpenAI + +class Movie(BaseModel): + """A movie with details.""" + title: str = Field(description="Movie title") + year: int = Field(description="Release year") + director: str = Field(description="Director name") + rating: float = Field(description="Rating out of 10") + +def get_structured_model(): + model = ChatOpenAI(model="gpt-4o") + return model.with_structured_output(Movie) +``` + +## Node Usage + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .models import get_structured_model + +class MovieExtractorNode(BaseNode): + def __init__(self): + super().__init__() + self.model = get_structured_model() + + def execute(self, state): + result = self.model.invoke(state["query"]) + # result is Movie instance + return {"movie": result.model_dump()} +``` + +## Include Raw Response + +Access both parsed output and raw AIMessage (for metadata like token counts): + +```python +# casts.{cast_name}.modules.models +def get_structured_model_with_raw(): + model = ChatOpenAI(model="gpt-4o") + return model.with_structured_output(Movie, include_raw=True) +``` + +```python +# casts.{cast_name}.modules.nodes +class MovieExtractorWithMetaNode(BaseNode): + def __init__(self): + super().__init__() + self.model = get_structured_model_with_raw() + + def execute(self, state): + result = self.model.invoke(state["query"]) + # result = {"raw": AIMessage(...), "parsed": Movie(...), "parsing_error": None} + return { + "movie": result["parsed"].model_dump(), + "tokens": result["raw"].usage_metadata, + } + ``` + +## Nested Structures + +```python +# casts.{cast_name}.modules.models + from pydantic import BaseModel, Field + + class Actor(BaseModel): + name: str + role: str + + class MovieDetails(BaseModel): + title: str + year: int + cast: list[Actor] + genres: list[str] + budget: float | None = Field(None, description="Budget in millions USD") + +def get_detailed_movie_model(): + model = ChatOpenAI(model="gpt-4o") + return model.with_structured_output(MovieDetails) + ``` + +## Method Parameter + +Some providers support different structured output methods: + +| Method | Description | +|--------|-------------| +| `json_schema` | Provider's dedicated structured output | +| `function_calling` | Tool call-based structured output | +| `json_mode` | Valid JSON (schema in prompt) | + +```python +# casts.{cast_name}.modules.models +def get_function_calling_model(): + model = ChatOpenAI(model="gpt-4o") + return model.with_structured_output(Movie, method="function_calling") +``` diff --git a/.antigravity/resources/developing/prompts/message-types.md b/.antigravity/resources/developing/prompts/message-types.md new file mode 100644 index 0000000..e098b4c --- /dev/null +++ b/.antigravity/resources/developing/prompts/message-types.md @@ -0,0 +1,252 @@ +# Message Types + +Message objects represent conversation context for LLM interactions in LangGraph. + +## Contents + +- SystemMessage +- HumanMessage +- AIMessage +- ToolMessage +- Common Patterns + +--- + +## SystemMessage + +Set model behavior and role. Define in `modules/prompts.py`. + +```python +# casts/{cast_name}/modules/prompts.py +from langchain.messages import SystemMessage + +ASSISTANT_PROMPT = SystemMessage("You are a helpful coding assistant.") + +CODE_REVIEWER_PROMPT = SystemMessage(""" +You are a senior Python developer with expertise in LangGraph. +- Provide specific code examples +- Explain reasoning clearly +- Focus on best practices +""") +``` + +**Usage in nodes:** + +```python +# casts/{cast_name}/modules/nodes.py +from langchain.messages import HumanMessage +from .prompts import ASSISTANT_PROMPT + +class AgentNode(BaseNode): + def execute(self, state): + messages = [ASSISTANT_PROMPT, HumanMessage(state["input"])] + response = self.agent.invoke(messages) + return {"response": response.content} +``` + +--- + +## HumanMessage + +Represents user input. + +```python +# casts/{cast_name}/modules/nodes.py +from langchain.messages import HumanMessage + +# Simple text +msg = HumanMessage("What is machine learning?") + +# With metadata +msg = HumanMessage( + content="Hello!", + name="alice", # User identifier + id="msg_123" # Message ID +) + +# String shortcut +response = model.invoke("Hello") # Equivalent to HumanMessage("Hello") +``` + +**In state schema:** + +```python +# casts/{cast_name}/modules/state.py +from typing import Annotated +from typing_extensions import TypedDict +from langchain.messages import BaseMessage +from langgraph.graph import add_messages + +class State(TypedDict): + messages: Annotated[list[BaseMessage], add_messages] + user_input: str +``` + +--- + +## AIMessage + +Model response with content, tool calls, and metadata. Returned by `model.invoke()`. + +```python +# casts/{cast_name}/modules/nodes.py +from .agents import agent + +class ChatNode(BaseNode): + def execute(self, state): + response = agent.invoke(state["messages"]) + # response is AIMessage + return {"messages": [response]} +``` + +**Access attributes:** + +```python +# casts/{cast_name}/modules/nodes.py +response = model.invoke("Hello") + +# Content +text = response.content # or response.text + +# Tool calls +if response.tool_calls: + for tool_call in response.tool_calls: + name = tool_call["name"] + args = tool_call["args"] + call_id = tool_call["id"] + +# Token usage +if response.usage_metadata: + tokens = response.usage_metadata["total_tokens"] +``` + +**Manual creation:** + +Useful for few-shot examples or conversation history. + +```python +# casts/{cast_name}/modules/prompts.py +from langchain.messages import SystemMessage, HumanMessage, AIMessage + +FEW_SHOT_EXAMPLES = [ + SystemMessage("You are a poet."), + HumanMessage("Write a haiku about code"), + AIMessage("Functions compile\nVariables hold secrets\nBugs flee in night"), +] +``` + +```python +# casts/{cast_name}/modules/nodes.py +from .prompts import FEW_SHOT_EXAMPLES + +class PoetNode(BaseNode): + def execute(self, state): + messages = FEW_SHOT_EXAMPLES + [HumanMessage(state["request"])] + response = self.agent.invoke(messages) + return {"poem": response.content} +``` + +--- + +## ToolMessage + +Return tool execution results to model. Must match tool call ID. + +```python +# casts/{cast_name}/modules/nodes.py +from langchain.messages import ToolMessage + +class ToolExecutorNode(BaseNode): + def execute(self, state): + last_message = state["messages"][-1] + tool_messages = [] + + for tool_call in last_message.tool_calls: + # Execute tool + result = self._execute_tool(tool_call["name"], tool_call["args"]) + + # Create ToolMessage + tool_msg = ToolMessage( + content=str(result), + tool_call_id=tool_call["id"] # Must match + ) + tool_messages.append(tool_msg) + + return {"messages": tool_messages} +``` + +**Required fields:** + +| Field | Type | Description | +|-------|------|-------------| +| content | str | Tool result (stringified) | +| tool_call_id | str | Must match AIMessage tool_call["id"] | + +**With artifact:** + +Store metadata not sent to model. + +```python +# casts/{cast_name}/modules/nodes.py +from langchain.messages import ToolMessage + +class SearchNode(BaseNode): + def execute(self, state): + tool_call = state["messages"][-1].tool_calls[0] + result = self._search(tool_call["args"]["query"]) + + tool_msg = ToolMessage( + content=result["text"], # Sent to model + tool_call_id=tool_call["id"], + artifact={ # Not sent to model + "document_id": result["doc_id"], + "score": result["relevance"] + } + ) + return {"messages": [tool_msg]} +``` + +Access artifacts downstream: + +```python +# casts/{cast_name}/modules/nodes.py +class RenderNode(BaseNode): + def execute(self, state): + tool_msgs = [m for m in state["messages"] if isinstance(m, ToolMessage)] + sources = [msg.artifact["source"] for msg in tool_msgs if msg.artifact] + return {"sources": sources} +``` + +--- + +## Common Patterns + +**Conversation history:** + +```python +# casts/{cast_name}/modules/nodes.py +from .prompts import SYSTEM_PROMPT + +class ChatNode(BaseNode): + def execute(self, state): + messages = [SYSTEM_PROMPT] + state["messages"] + response = self.agent.invoke(messages) + return {"messages": [response]} +``` + +**Message filtering:** + +```python +# casts/{cast_name}/modules/nodes.py +from langchain.messages import HumanMessage, AIMessage + +class SummarizeNode(BaseNode): + def execute(self, state): + # Get only user/assistant messages + conversation = [ + m for m in state["messages"] + if isinstance(m, (HumanMessage, AIMessage)) + ] + summary = self.model.invoke(f"Summarize: {conversation}") + return {"summary": summary.content} +``` diff --git a/.antigravity/resources/developing/prompts/multimodal.md b/.antigravity/resources/developing/prompts/multimodal.md new file mode 100644 index 0000000..4779cb6 --- /dev/null +++ b/.antigravity/resources/developing/prompts/multimodal.md @@ -0,0 +1,129 @@ +# Multimodal Content + +Multimodal inputs (images, audio, PDF, video) in prompts. + +## Content Formats + +| Format | Use Case | +|--------|----------| +| `url` | Remote file URL | +| `base64` | Encoded binary data | +| `file_id` | Provider-managed file | + +## Image Input + +```python +# casts.{cast_name}.modules.prompts +from langchain_core.messages import HumanMessage + +def create_image_prompt(text: str, image_url: str) -> HumanMessage: + """Create message with image from URL.""" + return HumanMessage(content=[ + {"type": "text", "text": text}, + {"type": "image", "url": image_url}, + ]) + +def create_image_base64_prompt(text: str, base64_data: str) -> HumanMessage: + """Create message with base64 encoded image.""" + return HumanMessage(content=[ + {"type": "text", "text": text}, + { + "type": "image", + "base64": base64_data, + "mime_type": "image/jpeg", + }, + ]) +``` + +## PDF Document Input + +```python +# casts.{cast_name}.modules.prompts +from langchain_core.messages import HumanMessage + +def create_pdf_prompt(text: str, pdf_url: str) -> HumanMessage: + """Create message with PDF from URL.""" + return HumanMessage(content=[ + {"type": "text", "text": text}, + {"type": "file", "url": pdf_url}, + ]) + +def create_pdf_base64_prompt(text: str, base64_data: str) -> HumanMessage: + """Create message with base64 encoded PDF.""" + return HumanMessage(content=[ + {"type": "text", "text": text}, + { + "type": "file", + "base64": base64_data, + "mime_type": "application/pdf", + }, + ]) +``` + +## Audio Input + +```python +# casts.{cast_name}.modules.prompts +from langchain_core.messages import HumanMessage + +def create_audio_prompt(text: str, base64_data: str) -> HumanMessage: + """Create message with audio.""" + return HumanMessage(content=[ + {"type": "text", "text": text}, + { + "type": "audio", + "base64": base64_data, + "mime_type": "audio/wav", + }, + ]) +``` + +## Video Input + +```python +# casts.{cast_name}.modules.prompts +from langchain_core.messages import HumanMessage + +def create_video_prompt(text: str, base64_data: str) -> HumanMessage: + """Create message with video.""" + return HumanMessage(content=[ + {"type": "text", "text": text}, + { + "type": "video", + "base64": base64_data, + "mime_type": "video/mp4", + }, + ]) +``` + +## Usage in Nodes + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .prompts import create_image_prompt +from .models import get_vision_model + +class ImageAnalysisNode(BaseNode): + def __init__(self): + super().__init__() + self.model = get_vision_model() + + def execute(self, state): + message = create_image_prompt( + text="Describe this image in detail.", + image_url=state["image_url"] + ) + + response = self.model.invoke([message]) + + return {"analysis": response.content} +``` + +## Provider Support + +Not all providers support all formats. Check provider documentation: +- **OpenAI**: Images, Audio, PDF +- **Anthropic**: Images, PDF +- **Google**: Images, Audio, Video + diff --git a/.antigravity/resources/developing/tools/access-context.md b/.antigravity/resources/developing/tools/access-context.md new file mode 100644 index 0000000..f588293 --- /dev/null +++ b/.antigravity/resources/developing/tools/access-context.md @@ -0,0 +1,168 @@ +# Tool Runtime Access + +Use `ToolRuntime` to access state, context, store, and stream writer. The `runtime` parameter is hidden from the model. + +## Contents + +- Access State +- Update State +- Access Context +- Access Store (Long-term Memory) +- Stream Writer + +## Access State + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool, ToolRuntime + +@tool +def summarize_conversation(runtime: ToolRuntime) -> str: + """Summarize the conversation so far.""" + messages = runtime.state["messages"] + human_msgs = sum(1 for m in messages if m.__class__.__name__ == "HumanMessage") + ai_msgs = sum(1 for m in messages if m.__class__.__name__ == "AIMessage") + return f"Conversation has {human_msgs} user messages, {ai_msgs} AI responses" + +@tool +def get_user_preference(pref_name: str, runtime: ToolRuntime) -> str: + """Get a user preference value.""" + preferences = runtime.state.get("user_preferences", {}) + return preferences.get(pref_name, "Not set") +``` + +## Update State + +Use `Command` to update agent state: + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool, ToolRuntime +from langgraph.types import Command +from langchain.messages import RemoveMessage +from langgraph.graph.message import REMOVE_ALL_MESSAGES + +@tool +def clear_conversation() -> Command: + """Clear the conversation history.""" + return Command( + update={"messages": [RemoveMessage(id=REMOVE_ALL_MESSAGES)]} + ) + +@tool +def update_user_name(new_name: str, runtime: ToolRuntime) -> Command: + """Update the user's name.""" + return Command(update={"user_name": new_name}) +``` + +## Access Context + +Access immutable configuration (user IDs, session info): + +```python +# casts.{cast_name}.modules.tools +from dataclasses import dataclass +from langchain.tools import tool, ToolRuntime + +@dataclass +class UserContext: + user_id: str + +@tool +def get_account_info(runtime: ToolRuntime[UserContext]) -> str: + """Get the current user's account information.""" + user_id = runtime.context.user_id + # Look up user in database + return f"Account info for user: {user_id}" +``` + +```python +# casts.{cast_name}.modules.agents +from dataclasses import dataclass +from langchain.agents import create_agent +from .models import get_sample_model +from .tools import get_account_info + +@dataclass +class UserContext: + user_id: str + +def set_context_agent(): + return create_agent( + model=get_sample_model(), + tools=[get_account_info], + context_schema=UserContext, + ) +``` + +```python +# casts.{cast_name}.modules.nodes +from casts.base_node import BaseNode +from .agents import set_context_agent, UserContext + +class ContextNode(BaseNode): + def __init__(self): + super().__init__() + self.agent = set_context_agent() + + def execute(self, state): + result = self.agent.invoke( + {"messages": [{"role": "user", "content": state["query"]}]}, + context=UserContext(user_id="user123") + ) + return {"messages": result["messages"]} +``` + +## Access Store (Long-term Memory) + +```python +# casts.{cast_name}.modules.tools +from typing import Any +from langchain.tools import tool, ToolRuntime + +@tool +def get_user_info(user_id: str, runtime: ToolRuntime) -> str: + """Look up user info from memory.""" + store = runtime.store + user_info = store.get(("users",), user_id) + return str(user_info.value) if user_info else "Unknown user" + +@tool +def save_user_info(user_id: str, user_info: dict[str, Any], runtime: ToolRuntime) -> str: + """Save user info to memory.""" + store = runtime.store + store.put(("users",), user_id, user_info) + return "Successfully saved user info." +``` + +```python +# casts.{cast_name}.modules.agents +from langgraph.store.memory import InMemoryStore +from langchain.agents import create_agent +from .models import get_sample_model +from .tools import get_user_info, save_user_info + +def set_memory_agent(): + return create_agent( + model=get_sample_model(), + tools=[get_user_info, save_user_info], + store=InMemoryStore(), + ) +``` + +## Stream Writer + +Stream custom updates during tool execution: + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool, ToolRuntime + +@tool +def get_weather(city: str, runtime: ToolRuntime) -> str: + """Get weather for a given city.""" + writer = runtime.stream_writer + writer(f"Looking up data for city: {city}") + writer(f"Acquired data for city: {city}") + return f"It's always sunny in {city}!" +``` diff --git a/.antigravity/resources/developing/tools/basic-tool.md b/.antigravity/resources/developing/tools/basic-tool.md new file mode 100644 index 0000000..42afa9c --- /dev/null +++ b/.antigravity/resources/developing/tools/basic-tool.md @@ -0,0 +1,70 @@ +# Basic Tool Definition + +Create tools using the `@tool` decorator. The function's docstring becomes the tool description. + +## Simple Tool + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool + +@tool +def search_database(query: str, limit: int = 10) -> str: + """Search the customer database for records matching the query. + + Args: + query: Search terms to look for + limit: Maximum number of results to return + """ + return f"Found {limit} results for '{query}'" +``` + +**Requirements:** +- Type hints are **required** (define input schema) +- Google docstring should be concise and informative + +## Custom Name + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool + +@tool("web_search") +def search(query: str) -> str: + """Search the web for information. + + Args: + query: Search terms to look for + """ + return f"Results for: {query}" +``` + +--- + +## Agent Usage + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .models import get_model +from .tools import search_database, calc + +def set_tool_agent(): + return create_agent( + model=get_model(), + tools=[search_database, calc], + ) +``` + +## Model(Standalone) Usage + +```python +# casts.{cast_name}.modules.models +from langchain_openai import ChatOpenAI +from .tools import search_database, calc + +def get_tool_model(): + model = ChatOpenAI(model="gpt-4o") + model.bind_tools([search_database, calc]) + return model +``` \ No newline at end of file diff --git a/.antigravity/resources/developing/tools/tool-with-complex-inputs.md b/.antigravity/resources/developing/tools/tool-with-complex-inputs.md new file mode 100644 index 0000000..e6a4c51 --- /dev/null +++ b/.antigravity/resources/developing/tools/tool-with-complex-inputs.md @@ -0,0 +1,85 @@ +# Tool with Complex Inputs + +Define complex inputs using Pydantic models. + +## Pydantic Schema + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool +from pydantic import BaseModel, Field +from typing import Literal + +class WeatherInput(BaseModel): + """Input for weather queries.""" + location: str = Field(description="City name or coordinates") + units: Literal["celsius", "fahrenheit"] = Field( + default="celsius", + description="Temperature unit preference" + ) + include_forecast: bool = Field( + default=False, + description="Include 5-day forecast" + ) + +@tool(args_schema=WeatherInput) +def get_weather(location: str, units: str = "celsius", include_forecast: bool = False) -> str: + """Get current weather and optional forecast.""" + temp = 22 if units == "celsius" else 72 + result = f"Current weather in {location}: {temp}°{units[0].upper()}" + if include_forecast: + result += "\nNext 5 days: Sunny" + return result +``` + +## JSON Schema (Alternative) + +```python +# casts.{cast_name}.modules.tools +from langchain.tools import tool + +weather_schema = { + "type": "object", + "properties": { + "location": {"type": "string"}, + "units": {"type": "string"}, + "include_forecast": {"type": "boolean"} + }, + "required": ["location"] +} + +@tool(args_schema=weather_schema) +def get_weather_json(location: str, units: str = "celsius", include_forecast: bool = False) -> str: + """Get current weather.""" + return f"Weather in {location}: 22°C" +``` + +--- + +## Agent Usage + +```python +# casts.{cast_name}.modules.agents +from langchain.agents import create_agent +from .models import get_model +from .tools import get_weather + +def set_weather_agent(): + return create_agent( + model=get_model(), + tools=[get_weather], + ) +``` + +## Model(Standalone) Usage + +```python +# casts.{cast_name}.modules.models +from langchain_openai import ChatOpenAI +from .tools import get_weather + +def get_tool_model(): + model = ChatOpenAI(model="gpt-4o") + model.bind_tools([get_weather]) + return model +``` \ No newline at end of file diff --git a/.antigravity/resources/testing/coverage.md b/.antigravity/resources/testing/coverage.md new file mode 100644 index 0000000..4efb5e0 --- /dev/null +++ b/.antigravity/resources/testing/coverage.md @@ -0,0 +1,96 @@ +# Coverage + +## Commands + +```bash +# Basic coverage +uv run pytest --cov=casts/{cast_name} tests/ + +# With HTML report +uv run pytest --cov=casts/{cast_name} --cov-report=html tests/ + +# With branch coverage +uv run pytest --cov=casts/{cast_name} --cov-branch tests/ + +# Show missing lines +uv run pytest --cov=casts --cov-report=term-missing +``` + +## Configuration + +```toml +# pyproject.toml +[tool.pytest.ini_options] +addopts = "--cov=casts --cov-report=term-missing" + +[tool.coverage.run] +branch = true +source = ["casts"] +omit = ["*/tests/*", "*/conftest.py"] + +[tool.coverage.report] +exclude_lines = [ + "pragma: no cover", + "if TYPE_CHECKING:", + "raise NotImplementedError", +] +``` + +## Coverage Goals + +| Component | Target | +|-----------|--------| +| Nodes | 90%+ | +| State logic | 85%+ | +| Graph compilation | 80%+ | +| Integration | Critical paths | + +**NOT a goal:** 100% coverage + +## What to Cover + +**Priority 1: Core Logic** +```python +def test_business_logic(): + node = ProcessNode() + result = node.execute({"input": "critical"}) + assert result["output"] == expected +``` + +**Priority 2: Error Paths** +```python +def test_error_handling(): + node = RobustNode() + result = node.execute({"input": "invalid"}) + assert "error" in result +``` + +**Priority 3: Edge Cases** +```python +@pytest.mark.parametrize("input_val", ["", "x"*1000, None]) +def test_edge_cases(input_val): + node = MyNode() + result = node.execute({"input": input_val}) + assert result is not None +``` + +## Exclude from Coverage + +```python +def utility(): # pragma: no cover + """Not critical.""" + pass + +if TYPE_CHECKING: # pragma: no cover + from typing import TYPE_CHECKING +``` + +## CI Integration + +```yaml +# .github/workflows/test.yml +- name: Test with coverage + run: | + uv run pytest --cov=casts --cov-report=xml --cov-fail-under=80 +``` + diff --git a/.antigravity/resources/testing/fixtures.md b/.antigravity/resources/testing/fixtures.md new file mode 100644 index 0000000..942c96b --- /dev/null +++ b/.antigravity/resources/testing/fixtures.md @@ -0,0 +1,155 @@ +# Fixtures + +## conftest.py Template + +```python +# tests/conftest.py +import pytest +from langgraph.checkpoint.memory import MemorySaver + +# State Fixtures + +@pytest.fixture +def empty_state(): + return {"input": "", "messages": [], "result": None} + +@pytest.fixture +def populated_state(): + return { + "input": "test query", + "messages": [{"role": "user", "content": "hello"}], + "context": {}, + } + +@pytest.fixture +def mock_config(): + return {"configurable": {"thread_id": "test-123"}} + +# Mock Fixtures + +@pytest.fixture +def mock_llm(): + class MockLLM: + def __init__(self, response="mocked"): + self.response = response + self.calls = [] + + def invoke(self, messages): + self.calls.append(messages) + return {"content": self.response} + + def bind_tools(self, tools): + return self + + return MockLLM() + +@pytest.fixture +def mock_store(): + class MockStore: + def __init__(self): + self.data = {} + + def get(self, namespace, key): + return self.data.get((tuple(namespace), key)) + + def put(self, namespace, key, value): + self.data[(tuple(namespace), key)] = value + + return MockStore() + +@pytest.fixture +def mock_runtime(mock_store): + class MockRuntime: + def __init__(self, store): + self.store = store + + return MockRuntime(mock_store) + +@pytest.fixture +def memory_saver(): + return MemorySaver() + +# Factory Fixtures + +@pytest.fixture +def make_state(): + def _make(**kwargs): + default = {"input": "", "messages": [], "result": None} + default.update(kwargs) + return default + return _make + +@pytest.fixture +def make_config(): + def _make(thread_id="test-123", **kwargs): + config = {"configurable": {"thread_id": thread_id}} + config["configurable"].update(kwargs) + return config + return _make +``` + +## Usage Examples + +### State Fixtures +```python +def test_with_empty_state(empty_state): + node = MyNode() + result = node.execute(empty_state) + assert result is not None + +def test_with_populated_state(populated_state): + node = MyNode() + result = node.execute(populated_state) + assert "processed" in result +``` + +### Mock Fixtures +```python +def test_with_mock_llm(mock_llm): + node = LLMNode() + node.llm = mock_llm + + node.execute({"messages": []}) + + assert len(mock_llm.calls) == 1 + +def test_with_runtime(mock_runtime): + node = MemoryNode() + result = node.execute({"user_id": "123"}, runtime=mock_runtime) + assert result is not None +``` + +### Factory Fixtures +```python +def test_with_custom_state(make_state): + state = make_state(input="custom", extra="data") + node = MyNode() + result = node.execute(state) + assert result is not None + +def test_with_custom_config(make_config): + config = make_config(thread_id="custom-123", user_id="alice") + # Use config... +``` + +## Fixture Scopes + +```python +@pytest.fixture(scope="session") +def expensive_resource(): + """Setup once per test session.""" + resource = setup_expensive() + yield resource + teardown(resource) + +@pytest.fixture(scope="module") +def module_resource(): + """Setup once per module.""" + return create_resource() + +@pytest.fixture # scope="function" is default +def test_resource(): + """Setup for each test.""" + return create_resource() +``` + diff --git a/.antigravity/resources/testing/mocking.md b/.antigravity/resources/testing/mocking.md new file mode 100644 index 0000000..a9703fc --- /dev/null +++ b/.antigravity/resources/testing/mocking.md @@ -0,0 +1,132 @@ +# Mocking Strategies + +## Mock LLM + +### FakeListLLM +```python +from langchain_core.language_models.fake import FakeListLLM + +def test_with_fake_llm(): + llm = FakeListLLM(responses=["First", "Second"]) + node = LLMNode() + node.llm = llm + + result = node.execute({"input": "test"}) + assert "First" in result["output"] +``` + +### Custom Mock +```python +class MockLLM: + def __init__(self, response="mocked"): + self.response = response + self.calls = [] + + def invoke(self, messages): + self.calls.append(messages) + return {"content": self.response} + +def test_tracks_calls(): + mock = MockLLM() + node = MyNode() + node.llm = mock + + node.execute({"messages": [{"role": "user", "content": "hi"}]}) + + assert len(mock.calls) == 1 +``` + +## Mock Tools + +```python +def test_mock_tool(monkeypatch): + def mock_search(query: str) -> str: + return f"Mocked: {query}" + + monkeypatch.setattr("modules.tools.web_search", mock_search) + + node = ToolNode() + result = node.execute({"query": "test"}) + + assert "Mocked" in result["output"] +``` + +## Mock External APIs + +```python +import responses + +@responses.activate +def test_api_call(): + responses.add( + responses.GET, + "https://api.example.com/data", + json={"result": "mocked"}, + status=200 + ) + + node = APINode() + result = node.execute({"endpoint": "/data"}) + + assert result["data"]["result"] == "mocked" +``` + +## Mock Store + +```python +class MockStore: + def __init__(self): + self.data = {} + + def get(self, namespace, key): + return self.data.get((tuple(namespace), key)) + + def put(self, namespace, key, value): + self.data[(tuple(namespace), key)] = value + +@pytest.fixture +def mock_store(): + return MockStore() + +def test_with_store(mock_store): + class MockRuntime: + def __init__(self, store): + self.store = store + + mock_store.put(("user", "123"), "prefs", {"theme": "dark"}) + + node = MemoryNode() + runtime = MockRuntime(mock_store) + result = node.execute({"user_id": "123"}, runtime=runtime) + + assert result["preferences"]["theme"] == "dark" +``` + +## Mock Files + +```python +def test_file_read(tmp_path): + test_file = tmp_path / "test.txt" + test_file.write_text("content") + + node = FileNode() + result = node.execute({"path": str(test_file)}) + + assert result["content"] == "content" +``` + +## Partial Mocking + +```python +def test_mock_one_method(monkeypatch): + node = ComplexNode() + + def mock_expensive(data): + return "mocked" + + monkeypatch.setattr(node, "_expensive_operation", mock_expensive) + + result = node.execute({"input": "test"}) + assert result["output"] == "mocked" +``` + diff --git a/.antigravity/resources/testing/testing-graphs.md b/.antigravity/resources/testing/testing-graphs.md new file mode 100644 index 0000000..2a88c98 --- /dev/null +++ b/.antigravity/resources/testing/testing-graphs.md @@ -0,0 +1,123 @@ +# Testing Graphs + +## Basic Graph Test + +```python +# tests/test_graph.py +import pytest +from langgraph.checkpoint.memory import MemorySaver +from casts.{cast_name}.graph import MyGraph + +class TestMyGraph: + @pytest.fixture + def graph(self): + return MyGraph().build() + + @pytest.fixture + def graph_with_memory(self): + checkpointer = MemorySaver() + return MyGraph().build(checkpointer=checkpointer) + + def test_compiles(self, graph): + assert graph is not None + assert hasattr(graph, "invoke") + + def test_invoke_basic(self, graph): + result = graph.invoke({"input": "test"}) + + assert result is not None + assert isinstance(result, dict) + + def test_with_config(self, graph_with_memory): + config = {"configurable": {"thread_id": "test-123"}} + result = graph_with_memory.invoke({"input": "test"}, config=config) + + assert result is not None +``` + +## Testing Routing + +```python +class TestGraphRouting: + def test_conditional_true(self, graph): + result = graph.invoke({"input": "test", "condition": True}) + assert result["path"] == "path_a" + + def test_conditional_false(self, graph): + result = graph.invoke({"input": "test", "condition": False}) + assert result["path"] == "path_b" + + @pytest.mark.parametrize("condition,expected", [ + (True, "path_a"), + (False, "path_b"), + (None, "default"), + ]) + def test_routing_parametrized(self, graph, condition, expected): + result = graph.invoke({"condition": condition}) + assert result["path"] == expected +``` + +## Testing with Checkpointer + +```python +def test_multi_turn(self, graph_with_memory): + config = {"configurable": {"thread_id": "test-123"}} + + # First turn + result1 = graph_with_memory.invoke({"input": "Hello"}, config=config) + + # Second turn - should remember + result2 = graph_with_memory.invoke({"input": "What did I say?"}, config=config) + + assert len(result2["messages"]) > 1 + +def test_threads_isolated(self, graph_with_memory): + config1 = {"configurable": {"thread_id": "user-1"}} + config2 = {"configurable": {"thread_id": "user-2"}} + + graph_with_memory.invoke({"input": "User 1"}, config=config1) + result = graph_with_memory.invoke({"input": "test"}, config=config2) + + assert "User 1" not in str(result) +``` + +## Testing Streaming + +```python +def test_stream_updates(self, graph): + chunks = list(graph.stream({"input": "test"}, stream_mode="updates")) + + assert len(chunks) > 0 + for chunk in chunks: + assert isinstance(chunk, dict) + +def test_stream_values(self, graph): + chunks = list(graph.stream({"input": "test"}, stream_mode="values")) + + for chunk in chunks: + assert "input" in chunk +``` + +## Testing Error Handling + +```python +def test_error_propagates(self, graph): + with pytest.raises(ValueError): + graph.invoke({"input": "trigger_error"}) + +def test_error_handled(self, graph): + result = graph.invoke({"input": "error_input"}) + + assert "error" in result +``` + +## Testing Graph Structure + +```python +def test_has_expected_nodes(self, graph): + expected = ["input", "process", "output"] + + for node_name in expected: + assert node_name in graph.nodes +``` + diff --git a/.antigravity/resources/testing/testing-nodes.md b/.antigravity/resources/testing/testing-nodes.md new file mode 100644 index 0000000..c29ff55 --- /dev/null +++ b/.antigravity/resources/testing/testing-nodes.md @@ -0,0 +1,130 @@ +# Testing Nodes + +## Sync Node Test + +```python +# tests/test_nodes.py +import pytest +from casts.{cast_name}.nodes import ProcessNode + +class TestProcessNode: + def test_execute_basic(self): + node = ProcessNode() + state = {"input": "test"} + + result = node.execute(state) + + assert "output" in result + + def test_execute_with_missing_input(self): + node = ProcessNode() + state = {} + + result = node.execute(state) + + assert "error" in result + + @pytest.mark.parametrize("input_val,expected", [ + ("hello", {"processed": True}), + ("", {"error": "empty"}), + ]) + def test_parametrized(self, input_val, expected): + node = ProcessNode() + result = node.execute({"input": input_val}) + + for key, value in expected.items(): + assert result[key] == value +``` + +## Async Node Test + +```python +import pytest + +class TestAsyncNode: + @pytest.mark.asyncio + async def test_execute(self): + node = AsyncFetchNode() + state = {"query": "test"} + + result = await node.execute(state) + + assert "data" in result + + @pytest.mark.asyncio + async def test_concurrent(self): + import asyncio + node = AsyncNode() + + results = await asyncio.gather( + node.execute({"id": 1}), + node.execute({"id": 2}), + ) + + assert len(results) == 2 +``` + +## Testing with Config/Runtime + +```python +def test_with_config(self): + node = MyNode() + state = {"input": "test"} + config = {"configurable": {"thread_id": "test-123"}} + + result = node.execute(state, config=config) + + assert result["thread_id"] == "test-123" + +def test_with_store(self, mock_store): + class MockRuntime: + def __init__(self, store): + self.store = store + + node = MemoryNode() + runtime = MockRuntime(mock_store) + result = node.execute({"user_id": "alice"}, runtime=runtime) + + assert "preferences" in result +``` + +## Testing Error Handling + +```python +def test_handles_exception(self): + node = RobustNode() + state = {"input": "trigger_error"} + + result = node.execute(state) + + assert "error" in result + +def test_logs_error(self, caplog): + node = MyNode(verbose=True) + node.execute({"input": "invalid"}) + + assert "error" in caplog.text.lower() +``` + +## Patterns + +**State Updates:** +```python +def test_returns_only_updates(): + node = MyNode() + result = node.execute({"input": "test", "existing": "data"}) + + assert "existing" not in result # Only updates returned + assert "processed" in result +``` + +**Verbose Logging:** +```python +def test_verbose_output(capsys): + node = MyNode(verbose=True) + node.execute({"input": "test"}) + + captured = capsys.readouterr() + assert "Executing" in captured.out +``` + diff --git a/.antigravity/workflows/architecting.md b/.antigravity/workflows/architecting.md new file mode 100644 index 0000000..d257674 --- /dev/null +++ b/.antigravity/workflows/architecting.md @@ -0,0 +1,147 @@ +--- +description: Act/Cast 아키텍처 설계 - 새 Act 프로젝트 시작, 기존 Act에 cast 추가, 복잡한 cast의 sub-cast 추출 시 사용. 대화형 질문을 통해 요구사항에서 검증된 아키텍처까지 mermaid 다이어그램과 함께 안내. 설계 우선, 코드 생성 없음. +--- + +# Act 아키텍처 설계 + +Act(프로젝트)와 Cast(그래프) 아키텍처를 대화형 질문을 통해 설계하고 관리합니다. 프로젝트 루트에 Act 개요와 모든 Cast 명세가 포함된 `CLAUDE.md`를 출력합니다. + +## 사용 시점 + +- 초기 Act 아키텍처 계획 (`act new` 이후) +- 기존 Act에 새 Cast 추가 +- Cast 복잡도 분석을 통한 Sub-Cast 추출 +- 아키텍처 설계에 대한 불확실성 + +## 사용하지 말 것 + +- 코드 구현 → `developing` 워크플로우 사용 +- cast 파일 생성 → `engineering` 워크플로우 사용 +- 테스트 작성 → `testing` 워크플로우 사용 + +--- + +## 핵심 원칙 + +**대화형**: 한 번에 하나의 질문만. 응답을 기다린 후 진행. + +**코드 없음**: 구조만 설명. TypedDict, 함수, 구현 코드 없음. + +**다이어그램에 엣지 표시**: Mermaid 다이어그램에 모든 노드와 엣지 포함. 별도 테이블 없음. + +--- + +## 모드 감지 + +**먼저 모드 결정:** + +- **CLAUDE.md 없음?** → **모드 1: 초기 설계** +- **CLAUDE.md 있음 + cast 추가?** → **모드 2: Cast 추가** +- **CLAUDE.md 있음 + cast 복잡?** → **모드 3: Sub-Cast 추출** + +--- + +## 모드 1: 초기 설계 + +**시점:** 첫 설계 시 (CLAUDE.md 없음) + +**단계:** +1. **Backand Act 질문** → 리소스 `modes/initial-design-questions.md` 참고 + - Act 목적, Cast 식별, Cast 목표, 입출력, 제약조건 +2. **Chat Cast 설계** → 아래 "Cast 설계 워크플로우" 따르기 +3. **CLAUDE.md 파일 생성** → 리소스 `act-template.md`, `cast-template.md` 사용 + - `/CLAUDE.md` 생성 (Act 정보 + Casts 테이블) + - `/casts/chat/CLAUDE.md` 생성 (Cast 세부사항) +4. **검증** → 검증 스크립트 실행 + +--- + +## 모드 2: Cast 추가 + +**시점:** CLAUDE.md 있음, 새 cast 추가 + +**단계:** +1. **CLAUDE.md 읽기** → 기존 Backand Act와 Casts 이해 +2. **질문** → 리소스 `modes/add-cast-questions.md` 참고 +3. **Cast 설계** → 아래 "Cast 설계 워크플로우" 따르기 +4. **Cast 패키지 생성** → `uv run act cast -c "{새 Cast 이름}"` 실행 +5. **CLAUDE.md 파일 업데이트** +6. **검증** → 검증 스크립트 실행 + +--- + +## 모드 3: Sub-Cast 추출 + +**시점:** Cast가 10개 이상 노드 또는 복잡도 언급됨 + +**단계:** +1. **분석** → 리소스 `cast-analysis-guide.md` 사용 +2. **질문** → 리소스 `modes/extract-subcast-questions.md` 참고 +3. **Sub-Cast 설계** → 아래 "Cast 설계 워크플로우" 따르기 +4. **Sub-Cast 패키지 생성** → `uv run act cast -c "{Sub-Cast 이름}"` 실행 +5. **CLAUDE.md 파일 업데이트** +6. **검증** → 검증 스크립트 실행 + +--- + +## Cast 설계 워크플로우 + +**모든 모드에서 cast 설계 시 사용:** + +### 1. 패턴 선택 + +리소스 `pattern-decision-matrix.md` 사용하여 **패턴 제안**: + +| 요구사항 | 패턴 | +|---------|------| +| 선형 변환 | Sequential | +| 다중 핸들러 | Branching | +| 개선 루프 | Cyclic | +| 전문 역할 | Multi-agent | + +질문: "이 패턴이 맞나요?" 확인 대기. + +### 2. 상태 스키마 + +리소스 `design/state-schema.md` 사용하여 **스키마 설계**. + +**테이블만** 제시 (InputState, OutputState, OverallState). + +질문: "수정할 필드가 있나요?" 응답 대기. + +### 3. 노드 명세 + +리소스 `design/node-specification.md` 사용, **패턴별 질문**: +- Sequential/Branching: "주요 처리 단계?" (3-7 노드) +- Cyclic: "개선 대상? 종료 조건?" +- Multi-agent: "전문 역할은?" + +**노드 설계** (단일 책임, CamelCase 명명). + +### 4. 아키텍처 다이어그램 + +리소스 `design/edge-routing.md` 사용하여 **Mermaid 다이어그램 생성**. + +확인: 모든 노드 연결, 모든 경로 END 도달, 조건 레이블 지정. + +### 5. 기술 스택 + +> `langgraph`, `langchain` 포함. **추가** 의존성만 식별. + +**한 번에 하나씩 질문:** +1. LLM 제공자? → 대기 +2. 벡터 스토어? → 대기 +3. 검색 도구? → 대기 +4. 문서 유형? → 대기 + +패키지 + 환경 변수 **결정**. + +### 6. 검증 + +```bash +python .claude/skills/architecting-act/scripts/validate_architecture.py +``` + +리소스 `validation-checklist.md` 참고. + +문제 발견 시 수정 후 요약 제시. diff --git a/.antigravity/workflows/developing.md b/.antigravity/workflows/developing.md new file mode 100644 index 0000000..0a985f9 --- /dev/null +++ b/.antigravity/workflows/developing.md @@ -0,0 +1,187 @@ +--- +description: LangGraph 컴포넌트(state, nodes, edges, graph) 구현 - CLAUDE.md 명세 유무와 관계없이 사용. 워크플로우 순서(구현 순서), agents/models/tools/memory/middlewares/prompts 패턴(대화 메모리, 재시도/폴백, 가드레일, 벡터 스토어, 도구 관리 등) 필요 시 사용. 체계적 워크플로우 제공 (state → deps → nodes → conditions → graph) +--- + +# Cast 개발 + +Backand Act 패턴을 따르는 LangGraph cast 구현. + +## 사용 시점 + +- 노드, 에이전트, 도구, 그래프 구축 +- LangGraph 구현 패턴 필요 +- 구현할 아키텍처 명세 있음 + +## 사용하지 말 것 + +- 아키텍처 설계 → `architecting` +- 프로젝트 설정 → `engineering` +- 테스트 → `testing` + +--- + +## 구현 워크플로우 + +### Step 1: CLAUDE.md 이해 + +**CLAUDE.md 있는 경우 (분산 구조):** +- **루트 `/CLAUDE.md`** 내용: + - **Act 개요**: Backand Act 목적과 도메인 + - **Casts 테이블**: 프로젝트 내 모든 cast와 링크 +- **Cast `/casts/{cast_slug}/CLAUDE.md`** 내용: + - **Cast 개요**: 목적, 패턴, 레이턴시 + - **아키텍처 다이어그램**: 노드와 엣지가 있는 Mermaid 다이어그램 + - **상태 스키마**: InputState, OutputState, OverallState + - **노드 명세**: 상세 노드 설명 + - **기술 스택**: 추가 의존성과 환경 변수 + +**CLAUDE.md 없는 경우:** +- 아키텍처 분석 건너뛰기 +- Step 2로 진행 + +### Step 2: 구현 + +**순서대로 구현:** state → 의존성 모듈 → nodes → conditions → graph + +``` +1. State (state.py) # 기초 + ↓ +2. 의존성 모듈 # agents, models, tools, prompts, middlewares, utils + ↓ +3. Nodes (nodes.py) # 비즈니스 로직 + ↓ +4. Conditions (conditions.py) # 라우팅 함수 (필요시) + ↓ +5. Graph (graph.py) # 조립 +``` + +### Option Step 3: 환경 변수 생성 (필요시) + +`.env.example` 업데이트 (프로젝트 루트) + +```bash +OPENAI_API_KEY=your_key +ANTHROPIC_API_KEY=your_key +``` + +### Option Step 4: 의존성 패키지 설치 (필요시) + +`engineering` 워크플로우 사용 + +--- + +## 컴포넌트 레퍼런스 + +### 코어 컴포넌트 + +| 사용 시점 | 리소스 | +|-----------|--------| +| TypedDict로 그래프 상태 정의 | `usage/core/state.md` | +| sync/async 노드 클래스 구현 | `usage/core/node.md` | +| 엣지 또는 조건부 라우팅 설정 | `usage/core/edge.md` | +| StateGraph 조립 및 컴파일 | `usage/core/graph.md` | +| 그래프를 서브그래프로 재사용 | `usage/core/subgraph.md` | + +### 프롬프트 & 메시지 + +| 사용 시점 | 리소스 | +|-----------|--------| +| System/Human/AI/Tool 메시지 생성 | `usage/prompts/message-types.md` | +| 이미지/오디오/PDF 입력 처리 | `usage/prompts/multimodal.md` | + +### 모델 & 에이전트 + +| 사용 시점 | 리소스 | +|-----------|--------| +| OpenAI/Anthropic/Google 선택 | `usage/models/select-chat-models.md` | +| 모델 설정 (temperature, tokens) | `usage/models/standalone-model.md` | +| 모델 구조화된 출력 (Pydantic) | `usage/models/structured-output.md` | +| 도구가 있는 에이전트 생성 | `usage/agents/configuration.md` | +| 에이전트 구조화된 출력 (Pydantic) | `usage/agents/structured-output.md` | + +### 도구 + +| 사용 시점 | 리소스 | +|-----------|--------| +| @tool로 간단한 도구 생성 | `usage/tools/basic-tool.md` | +| 복잡한 Pydantic 입력 도구 | `usage/tools/tool-with-complex-inputs.md` | +| 상태/스토어 읽기/쓰기 도구 | `usage/tools/access-context.md` | + +### 메모리 + +| 사용 시점 | 리소스 | +|-----------|--------| +| 에이전트에 대화 메모리 추가 | `usage/memory/short-term/add-to-agent.md` | +| 에이전트 메모리 스토리지 커스터마이즈 | `usage/memory/short-term/customize-agent-memory.md` | +| 히스토리 트리밍/삭제/요약 | `usage/memory/short-term/manage-conversations.md` | +| 미들웨어/도구에서 메모리 접근 | `usage/memory/short-term/access-and-modify-memory.md` | +| 세션 간 데이터 영속화 (Store) | `usage/memory/long-term/memory-storage.md` | +| 도구 내에서 Store 접근 | `usage/memory/long-term/in-tools.md` | + +### 미들웨어 - 신뢰성 + +| 사용 시점 | 리소스 | +|-----------|--------| +| LLM 호출 간헐적 실패 | `usage/middlewares/provider-agnostic/model-retry.md` | +| 도구 실행 간헐적 실패 | `usage/middlewares/provider-agnostic/tool-retry.md` | +| 기본 모델 실패 시 백업 모델 필요 | `usage/middlewares/provider-agnostic/model-fallback.md` | + +### 미들웨어 - 안전 & 제어 + +| 사용 시점 | 리소스 | +|-----------|--------| +| 부적절한 콘텐츠 검증/차단 | `usage/middlewares/provider-agnostic/guardrails.md` | +| 무한 LLM 호출 루프 방지 | `usage/middlewares/provider-agnostic/model-call-limit.md` | +| 비용 제어를 위한 도구 호출 제한 | `usage/middlewares/provider-agnostic/tool-call-limit.md` | +| 체크포인트에서 사람 승인 요구 | `usage/middlewares/provider-agnostic/human-in-the-loop.md` | + +### 미들웨어 - 도구 관리 + +| 사용 시점 | 리소스 | +|-----------|--------| +| 관련 도구 동적 선택 | `usage/middlewares/provider-agnostic/llm-tool-selector.md` | +| 테스트용 LLM으로 도구 에뮬레이션 | `usage/middlewares/provider-agnostic/llm-tool-emulator.md` | +| 에이전트에 영속 쉘 세션 필요 | `usage/middlewares/provider-agnostic/shell-tool.md` | +| 에이전트에 파일 검색 (glob/grep) 필요 | `usage/middlewares/provider-agnostic/file-search.md` | +| 에이전트에 작업 계획/추적 필요 | `usage/middlewares/provider-agnostic/to-do-list.md` | + +### 미들웨어 - 컨텍스트 + +| 사용 시점 | 리소스 | +|-----------|--------| +| 런타임에 메시지 수정/제거 | `usage/middlewares/provider-agnostic/context-editing.md` | +| 토큰 제한 근처 자동 요약 | `usage/middlewares/provider-agnostic/summarization.md` | + +### 미들웨어 - 제공자별 + +| 사용 시점 | 리소스 | +|-----------|--------| +| OpenAI moderation API 사용 | `usage/middlewares/provider-specific/openai.md` | +| Claude 캐싱/bash/text-editor 사용 | `usage/middlewares/provider-specific/anthropic.md` | +| 커스텀 before/after/wrap 훅 구축 | `usage/middlewares/custom.md` | + +### 통합 + +| 사용 시점 | 리소스 | +|-----------|--------| +| 텍스트를 임베딩 벡터로 변환 | `usage/integrations/embedding.md` | +| FAISS/Pinecone/Chroma 스토어 사용 | `usage/integrations/vector-stores.md` | +| 긴 문서를 청크로 분할 | `usage/integrations/text-spliter.md` | + +--- + +## 검증 + +- [ ] CLAUDE.md 확인 (존재하면 루트 + cast별, 없으면 건너뛰기) +- [ ] 파일 순서: state → 의존성 모듈 → nodes → conditions → graph +- [ ] graph.py에서 노드 이름 소문자 +- [ ] `langgraph.graph`에서 START/END import +- [ ] 노드 인스턴스로 추가 +- [ ] 그래프 컴파일 성공 + +--- + +## 다음 단계 + +1. **테스트:** `testing` 워크플로우 +2. **디버그:** `uv run langgraph dev` diff --git a/.antigravity/workflows/engineering.md b/.antigravity/workflows/engineering.md new file mode 100644 index 0000000..43feb58 --- /dev/null +++ b/.antigravity/workflows/engineering.md @@ -0,0 +1,62 @@ +--- +description: 새 cast 패키지 생성, 의존성 설치/관리 (monorepo 또는 cast 레벨), 의존성 충돌 해결, langgraph dev 서버 실행 시 사용. CLAUDE.md를 먼저 확인한 후 모든 uv 기반 프로젝트 설정 및 패키지 관리 (dev/test/lint 그룹) 처리. +--- + +# Act 엔지니어링 + +Backand Act 프로젝트 설정, 의존성, cast 스캐폴딩 관리. + +## 사용하지 말 것 + +- casts/nodes 구현 → `developing` +- 아키텍처 설계 → `architecting` +- 테스트 작성 → `testing` + +## 워크플로우 + +**모든 작업 전:** +1. CLAUDE.md 파일 확인 (존재하는 경우) + - **루트 `/CLAUDE.md`**: Act 개요와 Casts 테이블 검토 + - **Cast `/casts/{cast_slug}/CLAUDE.md`**: cast별 의존성과 기술 스택 검토 +2. 아래 작업 진행 + +## 작업 + +| 작업 | 리소스 | +|------|--------| +| 새 cast(패키지) 생성 | `resources/create-cast.md` | +| act(monorepo) 의존성 추가 | `resources/add-dep-act.md` | +| cast(패키지) 의존성 추가 | `resources/add-dep-cast.md` | +| 환경 동기화 | `resources/sync.md` | + +## 빠른 참조 + +```bash +# 1. CLAUDE.md 파일 확인 (있는 경우) +# 루트 /CLAUDE.md: 테이블에서 기존 Casts 검토 +# Cast /casts/{cast_slug}/CLAUDE.md: Technology Stack 섹션 확인 + +# 2. Cast 생성 +uv run act cast -c "My Cast" + +# 3. 의존성 추가 (cast의 CLAUDE.md Technology Stack 참고) +uv add langchain-openai # Monorepo (프로덕션) +uv add --dev pytest-mock # Monorepo (개발) +uv add --package my_cast langchain-openai # Cast 패키지 + +# 4. 동기화 +uv sync --all-packages # 개발 +uv sync --all-packages --no-dev # 프로덕션 + +# 5. LangGraph 서버 +uv run langgraph dev +uv run langgraph dev --tunnel # 비-Chrome 브라우저 +``` + +## 의존성 그룹 + +| 그룹 | 플래그 | 내용 | +|------|--------|------| +| dev | `--dev` | act-operator + test + lint | +| test | `--group test` | pytest, langgraph-cli[inmem] | +| lint | `--group lint` | pre-commit, ruff | diff --git a/.antigravity/workflows/testing.md b/.antigravity/workflows/testing.md new file mode 100644 index 0000000..474d09e --- /dev/null +++ b/.antigravity/workflows/testing.md @@ -0,0 +1,102 @@ +--- +description: cast 노드 또는 casts(그래프)용 pytest 작성, LLM/API/Store 호출 모킹 전략, 테스트 픽스처 설정, sync/async 테스트 스위트 구성 시 사용. 효과적인 cast 검증을 위한 종합 패턴 제공. +--- + +# Cast 테스트 + +Backand Act의 cast를 위한 효과적인 pytest 테스트 작성. + +## 사용하지 말 것 + +- 구현 작성 → `developing` +- 아키텍처 설계 → `architecting` +- 프로젝트 설정 → `engineering` + +## 빠른 참조 + +```bash +# 테스트 실행 +uv run pytest # 전체 테스트 +uv run pytest tests/test_nodes.py # 특정 파일 +uv run pytest -k "test_my_function" # 이름 매칭 +uv run pytest -v # 상세 출력 +uv run pytest -x # 첫 실패 시 중지 +uv run pytest --lf # 마지막 실패만 + +# 커버리지 포함 +uv run pytest --cov=casts --cov-report=html +``` + +## 리소스 + +| 작업 | 리소스 | +|------|--------| +| 노드 테스트 (sync/async) | `resources/testing-nodes.md` | +| 그래프 테스트 | `resources/testing-graphs.md` | +| LLM, API, Store 모킹 | `resources/mocking.md` | +| 재사용 가능한 픽스처 | `resources/fixtures.md` | +| 커버리지 전략 | `resources/coverage.md` | + +## 테스트 패턴 + +### 노드 테스트 +```python +class TestMyNode: + def test_execute(self): + node = MyNode() + result = node.execute({"input": "test"}) + assert "output" in result +``` + +### 비동기 노드 테스트 +```python +@pytest.mark.asyncio +async def test_async_node(): + node = AsyncNode() + result = await node.execute({"query": "test"}) + assert "data" in result +``` + +### 그래프 테스트 +```python +def test_graph_invoke(graph): + result = graph.invoke({"input": "test"}) + assert result is not None +``` + +### LLM 모킹 +```python +def test_with_mock(monkeypatch): + class MockLLM: + def invoke(self, messages): + return {"content": "mocked"} + + node = LLMNode() + monkeypatch.setattr(node, "llm", MockLLM()) + result = node.execute({"messages": []}) +``` + +## 테스트 구조 + +``` +casts/{cast_name}/ +└── tests/ + ├── conftest.py # 픽스처 + ├── test_nodes.py # 노드 테스트 + └── test_graph.py # 그래프 테스트 +``` + +## 모범 사례 + +**DO:** +- 구현이 아닌 동작 테스트 +- 설명적인 이름 사용 +- Arrange-Act-Assert 패턴 +- 외부 의존성 모킹 +- 에러 경로 테스트 + +**DON'T:** +- 프라이빗 메서드 테스트 +- 순서 의존적 테스트 +- 타이밍에 `sleep()` 사용 +- 100% 커버리지 목표 From 8043578cc7d88427cc3c4d53a6584db068ea8e37 Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Sat, 10 Jan 2026 09:18:38 +0900 Subject: [PATCH 02/12] chore(version): bump version to 0.2.0 --- act_operator/act_operator/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/act_operator/act_operator/__init__.py b/act_operator/act_operator/__init__.py index 569b121..d3ec452 100644 --- a/act_operator/act_operator/__init__.py +++ b/act_operator/act_operator/__init__.py @@ -1 +1 @@ -__version__ = "0.1.10" +__version__ = 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upload-time = "2026-01-09T18:20:59.425Z" }, ] From 9c8c04ec01573891d6ed336dc155282bb5ae9fda Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Mon, 12 Jan 2026 17:39:51 +0900 Subject: [PATCH 04/12] fix: drawkit and readme Enhance documentation for Agent Skills and add architecture diagram kit. Updated README files to clarify usage of Agent Skills, including invocation methods and tool compatibility. Introduced `drawkit.xml` for designing Act architecture, along with example flowcharts and images for better visualization. --- README.md | 8 +- README_KR.md | 8 +- .../.github/images/drawkit-dark-theme.png | Bin 0 -> 329371 bytes .../.github/images/drawkit-light-theme.png | Bin 0 -> 331094 bytes .../images/sample-flowchart-dark-theme.png | Bin 0 -> 224936 bytes .../images/sample-flowchart-light-theme.png | Bin 0 -> 229525 bytes .../TEMPLATE_README.md | 118 ++++++++++++++---- .../{{ cookiecutter.act_slug }}/drawkit.xml | 11 +- 8 files changed, 113 insertions(+), 32 deletions(-) create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/drawkit-dark-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/drawkit-light-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/sample-flowchart-dark-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/sample-flowchart-light-theme.png diff --git a/README.md b/README.md index fa63240..8ca5682 100644 --- a/README.md +++ b/README.md @@ -80,13 +80,17 @@ This command installs all dependencies defined in `pyproject.toml` and prepares ### Start Building with AI -If you're using Claude Code, you can leverage built-in agent skills to accelerate development: +Act includes built-in **Agent Skills**—folders of instructions that allow AI agents to **discover, activate, and execute** specialized capabilities for this project. + +If you're using **Claude Code**, these skills are pre-configured in `.claude/skills`. ```bash claude ``` -Reference the skills directory in your prompts: `.claude/skills` +Simply mention the skill name in your prompt (e.g., "Use @architecting-act to design..."). + +> **Note for other tools**: The `.claude` directory naming is specific to Claude Code. If you use other AI tools that support Agent Skills (like Cursor, Gemini CLI, etc.), please rename this directory or configure it according to that tool's requirements. **Available Skills**: - `architecting-act`: Design graph architectures through interactive questioning diff --git a/README_KR.md b/README_KR.md index 3f83ea8..16ac458 100644 --- a/README_KR.md +++ b/README_KR.md @@ -78,13 +78,17 @@ uv sync ### AI와 함께 빌드 시작하기 -Claude Code를 사용하는 경우, 내장된 에이전트 스킬을 활용하여 개발을 가속화할 수 있습니다: +Act에는 **Agent Skills**가 내장되어 있습니다. 이는 AI 에이전트가 프로젝트를 위한 전문 기능을 **발견(Discover), 활성화(Activate), 실행(Execute)** 할 수 있도록 하는 지침 폴더입니다. + +**Claude Code**를 사용하는 경우, `.claude/skills`에 사전 구성되어 있습니다. ```bash claude ``` -프롬프트에서 스킬 디렉토리를 참조하세요: `.claude/skills` +프롬프트에서 스킬 이름을 언급하기만 하면 됩니다 (예: "@architecting-act를 사용하여 설계해줘..."). + +> **다른 도구 사용 시 참고**: `.claude` 디렉터리 명명은 Claude Code 전용입니다. 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Use the `@skill-name` syntax in Claude Code or Cursor to invoke them. +Agent Skills are folders of instructions that enable AI agents to **discover** capabilities, **activate** relevant context, and **execute** tasks. This project includes pre-configured skills in `.claude/skills/`. + +> **Tool Compatibility**: The `.claude` folder name is optimized for Claude Code. If you are using other Agent Skills-compatible tools (e.g., Cursor, Gemini CLI), please rename the folder to match your tool's convention. ### Available Skills @@ -176,19 +178,22 @@ This project includes pre-configured Claude skills in `.claude/skills/` to assis ### How to Use -1. **Invoke a skill**: Type `@skill-name` in your prompt +Skills can be invoked in three ways: + +1. **Manual invocation**: Type `@skill-name` in your prompt to explicitly load context. ``` @architecting-act Help me design a RAG pipeline - @developing-cast Implement the SearchNode from CLAUDE.md - @engineering-act Add langchain-openai to this cast - @testing-cast Write tests for MyNode ``` +2. **Programmatic invocation**: The agent automatically calls the skill via tool use. +3. **Automatic discovery**: The agent reads the Skill’s description and loads it when relevant to the conversation. + +### Skill Workflow -2. **Skill workflow**: Skills guide you through their specific domain - - `architecting-act`: Interactive Q&A → generates `CLAUDE.md` - - `developing-cast`: Reads `CLAUDE.md` (Optional) → implements code - - `engineering-act`: Manages packages and dependencies - - `testing-cast`: Creates pytest test files +Skills guide you through their specific domain: +- `architecting-act`: Interactive Q&A → generates `CLAUDE.md` +- `developing-cast`: Reads `CLAUDE.md` (Optional) → implements code +- `engineering-act`: Manages packages and dependencies +- `testing-cast`: Creates pytest test files ### Recommended Development Flow @@ -202,6 +207,38 @@ This project includes pre-configured Claude skills in `.claude/skills/` to assis 4. @testing-cast → Write and run tests ``` +## Architecture Diagram Kit + +The `drawkit.xml` file included in the root directory contains pre-defined shapes for designing Act architecture in [draw.io](https://app.diagrams.net/). + +> **Note**: This kit is intended for **human-to-human communication**. +> - For **agent-to-agent communication**, use the Mermaid charts in `CLAUDE.md` generated by the `@architecting-act` skill. +> - For **Developers**, inspect the actual graph execution flow via the LangGraph Development Server (LangSmith). + +

+ + + Drawkit Preview + +

+ +### How to Import + +1. Open [draw.io](https://app.diagrams.net/). +2. Expand the **Scratchpad** panel on the left sidebar. +3. Click the **Edit** (pencil icon) button on the Scratchpad header. +4. Copy the contents of `drawkit.xml` and paste them into the dialog, or use the **Import** button. +5. Click **Save**. The Act components will appear in your Scratchpad for drag-and-drop use. + +### Example Act Flowchart + +

+ + + Sample Flowchart + +

+ ## Node Implementation ### Creating Nodes @@ -448,9 +485,11 @@ uv run act cast --path . --cast-name "새 Cast 이름" uv sync --all-packages ``` -## Claude Skills +## Agent Skills -이 프로젝트는 개발을 지원하기 위해 `.claude/skills/`에 사전 구성된 Claude 스킬을 포함하고 있습니다. Claude Code나 Cursor에서 `@skill-name` 구문을 사용하여 호출할 수 있습니다. +Agent Skills는 AI 에이전트가 기능을 **발견(Discover)** 하고, 관련 컨텍스트를 **활성화(Activate)** 하며, 작업을 **실행(Execute)** 할 수 있게 해주는 지침 폴더입니다. 이 프로젝트는 `.claude/skills/`에 사전 구성된 스킬을 포함하고 있습니다. + +> **도구 호환성**: `.claude` 폴더명은 Claude Code에 최적화되어 있습니다. 다른 Agent Skills 호환 도구(예: Cursor, Gemini CLI)를 사용하는 경우, 해당 도구의 관례에 맞춰 폴더 이름을 변경해 주세요. ### 사용 가능한 스킬 @@ -463,19 +502,22 @@ uv sync --all-packages ### 사용 방법 -1. **스킬 호출**: 프롬프트에 `@skill-name`을 입력합니다 +스킬은 세 가지 방식으로 호출할 수 있습니다: + +1. **수동 호출**: 프롬프트에 `@skill-name`을 입력하여 명시적으로 컨텍스트를 로드합니다. ``` @architecting-act RAG 파이프라인 설계를 도와줘 - @developing-cast CLAUDE.md의 SearchNode를 구현해줘 - @engineering-act 이 cast에 langchain-openai를 추가해줘 - @testing-cast MyNode에 대한 테스트를 작성해줘 ``` +2. **프로그램적 호출**: 에이전트가 도구 사용을 통해 스킬을 자동으로 호출합니다. +3. **자동 발견**: 대화와 관련이 있을 때 에이전트가 스킬의 설명을 읽고 자동으로 로드합니다. + +### 스킬 워크플로우 -2. **스킬 워크플로우**: 각 스킬은 해당 도메인에 맞게 안내합니다 - - `architecting-act`: 대화형 Q&A → `CLAUDE.md` 생성 - - `developing-cast`: `CLAUDE.md` 읽기(선택) → 코드 구현 - - `engineering-act`: 패키지 및 의존성 관리 - - `testing-cast`: pytest 테스트 파일 생성 +각 스킬은 해당 도메인에 맞게 안내합니다: +- `architecting-act`: 대화형 Q&A → `CLAUDE.md` 생성 +- `developing-cast`: `CLAUDE.md` 읽기(선택) → 코드 구현 +- `engineering-act`: 패키지 및 의존성 관리 +- `testing-cast`: pytest 테스트 파일 생성 ### 권장 개발 흐름 @@ -489,6 +531,38 @@ uv sync --all-packages 4. @testing-cast → 테스트 작성 및 실행 ``` +## 아키텍처 다이어그램 키트 + +루트 디렉터리에 포함된 `drawkit.xml` 파일은 [draw.io](https://app.diagrams.net/)에서 Act 아키텍처를 설계할 때 사용할 수 있는 사전 정의된 쉐이프 모음을 포함하고 있습니다. + +> **참고**: 이 키트는 **사람 간의 소통**을 위해 제작되었습니다. +> - **에이전트 간의 소통**: `architecting-act` 스킬로 생성된 `CLAUDE.md`의 Mermaid 차트를 사용하세요. +> - **개발자 확인**: LangGraph 개발 서버(LangSmith)를 통해 실제 그래프 실행 흐름을 확인하세요. + +

+ + + Drawkit 미리보기 + +

+ +### 가져오는 방법 + +1. [draw.io](https://app.diagrams.net/)에 접속합니다. +2. 좌측 사이드바에서 **스크래치패드(Scratchpad)** 패널을 펼칩니다. +3. 스크래치패드 헤더의 **수정(Edit)** 버튼(연필 아이콘)을 클릭합니다. +4. `drawkit.xml` 파일의 내용을 복사하여 대화 상자에 붙여넣거나 **가져오기(Import)** 버튼을 사용합니다. +5. **저장(Save)**을 클릭하면 스크래치패드에 Act 컴포넌트가 추가되어 드래그 앤 드롭으로 사용할 수 있습니다. + +### 사용 예시 + +

+ + + 예시 플로우차트 + +

+ ## 노드 구현 ### 노드 생성 diff --git a/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit.xml b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit.xml index 1b08354..bc811e1 100644 --- a/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit.xml +++ b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit.xml @@ -1,17 +1,16 @@ [ { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" parent=\"1\" style=\"swimlane;whiteSpace=wrap;html=1;fillColor=light-dark(#131720,#131720);strokeColor=light-dark(#DAE3EF,#DAE3EF);fontColor=light-dark(#DAE3EF,#DAE3EF);fontSize=40;startSize=60;\" value=\"&lt;font style=&quot;font-size: 36px;&quot;&gt;주요 기호 구성표&lt;/font&gt;\" vertex=\"1\"><mxGeometry height=\"940\" width=\"1290\" as=\"geometry\"><mxRectangle height=\"30\" width=\"100\" x=\"-2940\" y=\"-890\" as=\"alternateBounds\"/></mxGeometry></mxCell><mxCell id=\"3\" parent=\"2\" 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style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Input or Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;text-align: center;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: left;&quot;&gt;노드 또는 기능 함수에 입력되거나&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;출력이 되는 상태 데이터&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"200\" x=\"619\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"26\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 150%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Final Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Cast를 거치고 최종적으로 나온 &lt;br&gt;출력 상태 데이터&lt;br&gt;(LangGraph&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;State&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Output Schema)&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"200\" x=\"619\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"27\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Memory or Default/Initial Value&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Langchain Memory 또는 값이 고정되어 있거나 외부 데이터가 결합된 기본/초기 설정값&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"200\" x=\"189\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"28\" parent=\"2\" 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style=\"shape=sumEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"975\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"33\" parent=\"2\" style=\"shape=orEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"890\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"34\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"접합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"80\" x=\"955\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"35\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"논리합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"90\" x=\"865\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"36\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"개체 주석\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"957.5\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Internal Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Act '내부'에 있는 다른 Cast와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"230\" x=\"1040\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"38\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;External Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당&lt;/span&gt;&amp;nbsp;Act '외부'에 있는 다른 Act의 Cast&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"230\" x=\"1040\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"39\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Edge/Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 워크플로우의 정방향은 '우향',&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;역방향은 '좌향'이며 그 외는 부속 흐름으로&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;간주하여 표시,&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;선이 겹치거나 가려져선 안 됨.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"40\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Parrallel&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Edge/Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;노드/기능이 병렬적으로 수행됨을 표시 (MCP, A2A, Pallelization과 같은 그룹과 연결되는 흐름에 사용)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"230\" x=\"1040\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"41\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Annotation&lt;/b&gt;&lt;/div&gt;&lt;div&gt;여러 정보를 부가 설명할 때는 '왼쪽&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호단일 정보를 부가 설명할 때는 '오른쪽&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호를 사용하여 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"220\" x=\"1045\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"42\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;OR,&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;OR:&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;여러 분기가 하나의 프로세스로 다시 모일 때 분기 중 최소 하나 이상 모이는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM: 여러 분기가 하나의 프로세스로&amp;nbsp;&lt;/span&gt;다시 모일 때 전부&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;합쳐지는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"110\" width=\"240\" x=\"1035\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"43\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;※ Act: &lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Project&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;※ Cast:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Graph&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"240\" x=\"11\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"44\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent;&quot;&gt;논리적 그룹/영역&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;[그룹 이름]&lt;span style=&quot;background-color: transparent;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"45\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"&lt;font style=&quot;&quot;&gt;물리적 그룹/영역&lt;/font&gt;&lt;div&gt;[그룹 이름]&lt;/div&gt;\" 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style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Physical Group/Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;실제 코드상 파일/디렉토리 등 물리적&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;단위로&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;그룹핑이 가능한 영역&lt;/span&gt;&lt;/div&gt;&lt;div&gt;(예: Cast, MCP Server, A2A Server 등)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"220\" x=\"619\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"49\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div 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0), rgb(255, 255, 255));&quot;&gt;별 Cast 관리&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;영역&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"220\" x=\"190\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"53\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=hexagon;perimeter=hexagonPerimeter2;arcSize=6;size=0.0625;fillColor=#fad7ac;strokeColor=#b46504;labelPosition=center;align=center;strokeWidth=2;whiteSpace=wrap;\" value=\"기억 저장소,&lt;div&gt;고정/필요한 초기/&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;설정값&lt;/span&gt;&lt;/div&gt;&lt;div&gt;[저장소/값 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"54\" parent=\"2\" 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as=\"geometry\"/></mxCell><mxCell id=\"57\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;b&gt;Made by Proact0&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"110\" x=\"1180\" y=\"910\" as=\"geometry\"/></mxCell><mxCell id=\"58\" parent=\"2\" style=\"swimlane;whiteSpace=wrap;html=1;fontStyle=4;strokeWidth=2;\" value=\"&lt;div style=&quot;text-align: left;&quot;&gt;&lt;b&gt;Act&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"59\" edge=\"1\" parent=\"58\" source=\"60\" style=\"edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;\" target=\"61\"><mxGeometry relative=\"1\" as=\"geometry\"/></mxCell><mxCell id=\"60\" parent=\"58\" style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;\" value=\"Node\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"20\" y=\"40\" as=\"geometry\"/></mxCell><mxCell id=\"61\" parent=\"58\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"Data\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"100\" y=\"40\" as=\"geometry\"/></mxCell></root></mxGraphModel>", + "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" parent=\"1\" style=\"swimlane;whiteSpace=wrap;html=1;fillColor=light-dark(#131720,#131720);strokeColor=light-dark(#DAE3EF,#DAE3EF);fontColor=light-dark(#DAE3EF,#DAE3EF);fontSize=40;startSize=60;\" value=\"&lt;font style=&quot;font-size: 36px;&quot;&gt;주요 기호 구성표&lt;/font&gt;\" vertex=\"1\"><mxGeometry height=\"940\" width=\"1290\" as=\"geometry\"><mxRectangle height=\"30\" width=\"100\" x=\"-2940\" y=\"-890\" as=\"alternateBounds\"/></mxGeometry></mxCell><mxCell id=\"3\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 130%;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;&lt;font style=&quot;font-size: 14px; line-height: 130%;&quot;&gt;흐름도는 진행 단계와 무관하게 워크플로우와 일치되도록 상시 업데이트를 권장합니다.&lt;/font&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;font-size: 14px; line-height: 130%;&quot;&gt;&lt;b&gt;이 기호 구성표는 Act Template 기반 기본 구성이므로, 필요 시 조직 상황과 환경에 맞게 추가/변형하여 사용하시기 바랍니다.&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"742.5\" x=\"273.75\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"4\" 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style=\"rhombus;whiteSpace=wrap;html=1;strokeWidth=2;fillColor=#d0cee2;strokeColor=#56517e;\" value=\"조건부 판단 엣지&lt;div&gt;[함수 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"8\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"노드/기능&lt;div&gt;입/출력 데이터&lt;/div&gt;&lt;div&gt;[&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;데이터 이름]&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"9\" parent=\"2\" style=\"shape=process;whiteSpace=wrap;html=1;backgroundOutline=1;strokeWidth=2;rounded=1;glass=0;shadow=0;\" value=\"&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;이미&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;정의된&lt;br&gt;&lt;/span&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;프로세스&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;노드/&lt;/span&gt;&lt;span style=&quot;text-align: left;&quot;&gt;기능&lt;/span&gt;&lt;/div&gt;&lt;div&gt;[노드/기능 이름]&lt;span style=&quot;text-align: left;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"10\" parent=\"2\" 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light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast 연결자&lt;/span&gt;&lt;div&gt;[연결되는 Cast 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"12\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"882.5\" y=\"570\" as=\"sourcePoint\"/><mxPoint x=\"972.5\" y=\"570\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"13\" connectable=\"0\" parent=\"12\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&lt;span&gt;정방향 흐름&lt;/span&gt;\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"14\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"972.5\" y=\"610\" as=\"sourcePoint\"/><mxPoint x=\"882.5\" y=\"610\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"15\" connectable=\"0\" parent=\"14\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"역방향 흐름\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"16\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"992\" y=\"620\" as=\"sourcePoint\"/><mxPoint x=\"992\" y=\"560\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"17\" parent=\"2\" style=\"verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"100\" x=\"902.5\" y=\"695\" as=\"geometry\"/></mxCell><mxCell id=\"18\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=left;pointerEvents=1;labelPosition=right;verticalLabelPosition=middle;verticalAlign=middle;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"20\" x=\"890\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"19\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"17.5\" x=\"970\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"20\" parent=\"2\" style=\"html=1;strokeWidth=2;shape=manualInput;whiteSpace=wrap;rounded=1;size=13;arcSize=11;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"인간 수동 입력 데이터&lt;div&gt;[데이터 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"21\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;Predefine&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Recycle Node/&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Function&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;기존에 현/다른 Cast/Act에서 이미 정의된 노드/함수&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"22\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Process Node or Feature Function&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;최소 작업/&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;기능&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;단위의 노드/&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;함수&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"23\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Database&amp;nbsp;&lt;/b&gt;&lt;/span&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;or&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;Storage&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;MySQL, MongoDB, S3 등과 같은&lt;br&gt;보관 매체에 데이터가 저장되는 공간&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"24\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Conditional Edge&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;내부 이벤트 또는 트리거 발생 시&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;결정 경로 - Router, Branch out, IF Function 등&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"25\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Input or Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;text-align: center;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: left;&quot;&gt;노드 또는 기능 함수에 입력되거나&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;출력이 되는 상태 데이터&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"26\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 150%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Final Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Cast를 거치고 최종적으로 나온 &lt;br&gt;출력 상태 데이터&lt;br&gt;(LangGraph&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;State&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; 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height=\"30\" width=\"80\" x=\"955\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"35\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"논리합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"90\" x=\"865\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"36\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"개체 주석\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"957.5\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Internal Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Act '내부'에 있는 다른 Cast와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"38\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;External Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당&lt;/span&gt;&amp;nbsp;Act '외부'에 있는 다른 Act의 Cast&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"39\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Edge/Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 플로우차트의 정방향은 '우향',&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;역방향은 '좌향'이며 그 외는 부속 흐름으로&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;간주하여 표시,&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;선이 겹치거나 가려져선 안 됨.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"40\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Parrallel&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Edge/Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;노드/기능이 병렬적으로 수행됨을 표시 (MCP, A2A, Pallelization과 같은 그룹과 연결되는 흐름에 사용)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"41\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Annotation&lt;/b&gt;&lt;/div&gt;&lt;div&gt;여러 정보를 부가 설명할 때는 '왼쪽&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;단일 정보를 부가 설명할 때는 '오른쪽&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호를 사용하여 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"235\" x=\"1045\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"42\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;OR,&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;OR:&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;여러 분기가 하나의 프로세스로 다시 모일 때 분기 중 최소 하나 이상 모이는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM: 여러 분기가 하나의 프로세스로&amp;nbsp;&lt;/span&gt;다시 모일 때 전부&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;합쳐지는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"110\" width=\"245\" x=\"1035\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"43\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;※ Act: Product /&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Project / Repository / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;※ Cast:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Graph / Workflow / Package / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"259\" x=\"11\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"44\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent;&quot;&gt;논리적 그룹/영역&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;[그룹 이름]&lt;span style=&quot;background-color: transparent;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"45\" 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style=\"edgeStyle=orthogonalEdgeStyle;shape=connector;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;strokeColor=default;align=center;verticalAlign=middle;fontFamily=Helvetica;fontSize=12;fontColor=default;labelBackgroundColor=default;endArrow=classic;\" target=\"5\"><mxGeometry relative=\"1\" as=\"geometry\"/></mxCell><mxCell id=\"15\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=hexagon;perimeter=hexagonPerimeter2;arcSize=6;size=0.0625;fillColor=#fad7ac;strokeColor=#b46504;labelPosition=center;align=center;strokeWidth=2;whiteSpace=wrap;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"&lt;div&gt;분석 결과 보고 데이터&lt;br&gt;(신조어 유무, 글 특징 파악).&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;원본 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style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=mxgraph.flowchart.on-page_reference;strokeWidth=2;labelPosition=center;align=center;fillColor=#f8cecc;strokeColor=#b85450;shadow=0;whiteSpace=wrap;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"카톡 답장 Cast\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"1100\" y=\"90\" as=\"geometry\"/></mxCell><mxCell id=\"34\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;※ 해당 Workflow는 단순히 이해를 돕기 위한 예시 자료입니다. 참고용으로만 봐주세요.&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"701\" x=\"250\" y=\"660\" as=\"geometry\"/></mxCell><mxCell id=\"35\" edge=\"1\" parent=\"2\" source=\"36\" 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light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;End&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;]&lt;/span&gt;\" style=\"ellipse;whiteSpace=wrap;html=1;strokeWidth=2;\" vertex=\"1\" parent=\"1\"><mxGeometry width=\"160\" height=\"100\" as=\"geometry\"/></mxCell></root></mxGraphModel>", From b7ed31fc1c1430da93209c1a9ae5d426db297d32 Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Mon, 12 Jan 2026 17:41:31 +0900 Subject: [PATCH 05/12] chore(version): bump version to 0.2.1 --- act_operator/act_operator/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/act_operator/act_operator/__init__.py b/act_operator/act_operator/__init__.py index d3ec452..3ced358 100644 --- a/act_operator/act_operator/__init__.py +++ b/act_operator/act_operator/__init__.py @@ -1 +1 @@ -__version__ = "0.2.0" +__version__ = "0.2.1" From 10a8c7545994caf49b49dc83cb2fa809fc5c0189 Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Mon, 12 Jan 2026 18:06:27 +0900 Subject: [PATCH 06/12] fix: update README files for clarity and language consistency - Added a link to the English README in the Korean version. - Revised wording in both README files for improved clarity. - Removed example use cases section from both README files to streamline content. - Updated the link to the contributing guide in the Korean README to point to the correct file. --- README.md | 22 ++-------------------- README_KR.md | 24 ++++-------------------- 2 files changed, 6 insertions(+), 40 deletions(-) diff --git a/README.md b/README.md index 8ca5682..4193b72 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@
-※ Read this in Korean: [README_KR.md](README_KR.md) +※ 한국어로 읽으시는 경우: [README_KR.md](README_KR.md) Act Operator is a production-ready CLI that scaffolds structured LangGraph 1.0+ projects with built-in AI collaboration capabilities. @@ -34,7 +34,7 @@ Act Operator is a production-ready CLI that scaffolds structured LangGraph 1.0+ uvx --from act-operator act new ``` -Generate clean, modular graph architectures with cookiecutter templates that include specialized Agent skills for architecture design, development, engineering, and testing—enabling you to build complex agentic workflows, business automations, or data pipelines with optimal maintainability and AI-assisted development. +Generate clean, modular graph architectures with templates that include specialized Agent skills for architecture design, development, engineering, and testing—enabling you to build complex agentic workflows, business automations, or data pipelines with optimal maintainability and AI-assisted development. @@ -298,24 +298,6 @@ act cast [OPTIONS] --path PATH Act project directory ``` -## Example Use Cases - -### Agentic AI System - -Build multi-agent systems with specialized roles (researcher, writer, reviewer) using the multi-agent pattern. - -### Business Workflow Automation - -Orchestrate complex business processes with conditional branching, human approval steps, and external API integrations. - -### Data Processing Pipeline - -Create sequential or parallel data transformation graphs with error handling and retry logic. - -### Conversational AI - -Develop context-aware chatbots with memory management, tool calling, and guardrails. - ## Contributing We welcome contributions from the community! Please read our contributing guide: diff --git a/README_KR.md b/README_KR.md index 16ac458..2369531 100644 --- a/README_KR.md +++ b/README_KR.md @@ -26,13 +26,15 @@
+※ Read this in English: [README.md](README.md) + Act Operator는 AI 협업 기능이 내장된 구조화된 LangGraph 1.0+ 프로젝트(Act)를 스캐폴딩하는 프로덕션 레디 CLI입니다. ```bash uvx --from act-operator act new ``` -아키텍처 설계, 개발, 엔지니어링, 테스팅을 위한 전문화된 Agent 스킬이 포함된 쿠키커터 템플릿으로 깔끔하고 모듈화된 그래프 아키텍처를 생성하여, 최적의 유지보수성과 AI 지원 개발로 복잡한 에이전트 워크플로우, 비즈니스 자동화 또는 데이터 파이프라인을 구축할 수 있습니다. +아키텍처 설계, 개발, 엔지니어링, 테스팅을 위한 전문화된 Agent 스킬이 포함된 템플릿으로 깔끔하고 모듈화된 그래프 아키텍처를 생성하여, 최적의 유지보수성과 AI 지원 개발로 복잡한 에이전트 워크플로우, 비즈니스 자동화 또는 데이터 파이프라인을 구축할 수 있습니다. @@ -296,29 +298,11 @@ act cast [OPTIONS] --path PATH Act 프로젝트 디렉토리 ``` -## 사용 사례 예시 - -### 에이전트 AI 시스템 - -멀티 에이전트 패턴을 사용하여 전문화된 역할(연구원, 작가, 검토자)을 가진 다중 에이전트 시스템 구축. - -### 비즈니스 워크플로우 자동화 - -조건부 분기, 인간 승인 단계, 외부 API 통합을 포함한 복잡한 비즈니스 프로세스 오케스트레이션. - -### 데이터 처리 파이프라인 - -오류 처리 및 재시도 로직을 포함한 순차 또는 병렬 데이터 변환 그래프 생성. - -### 대화형 AI - -메모리 관리, 도구 호출, 가드레일을 갖춘 컨텍스트 인식 챗봇 개발. - ## 기여하기 커뮤니티의 기여를 환영합니다! 기여 가이드를 읽어주세요: -- [CONTRIBUTING.md](CONTRIBUTING.md) (영어) +- [CONTRIBUTING_KR.md](CONTRIBUTING_KR.md) (한국어) ### 기여자 From 008051df1650416fca59a2ab495c775f0bef8929 Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Tue, 13 Jan 2026 17:12:53 +0900 Subject: [PATCH 07/12] feat: add CLAUDE.md and codebase-analyzer skill - Introduced CLAUDE.md for project guidance, detailing project overview, build commands, architecture, code conventions, detected patterns, git insights, and best practices. - Added codebase-analyzer skill to automate CLAUDE.md generation, including guidelines for handling existing files and analyzing project structure. - Created templates for root and subtree CLAUDE.md files to standardize documentation. - Implemented drawkit file selection based on language in the CLI for improved project scaffolding. - Bumped version to 0.2.2. --- .claude/skills/codebase-analyzer/SKILL.md | 157 ++++++++++++++++++ .../templates/CLAUDE.root.md.template | 59 +++++++ .../templates/CLAUDE.subtree.md.template | 34 ++++ CLAUDE.md | 131 +++++++++++++++ act_operator/act_operator/__init__.py | 2 +- act_operator/act_operator/cli.py | 10 ++ .../{{ cookiecutter.act_slug }}/drawkit.xml | 155 ----------------- .../drawkit_en.xml | 156 +++++++++++++++++ .../drawkit_kr.xml | 156 +++++++++++++++++ act_operator/act_operator/utils.py | 34 ++++ 10 files changed, 738 insertions(+), 156 deletions(-) create mode 100644 .claude/skills/codebase-analyzer/SKILL.md create mode 100644 .claude/skills/codebase-analyzer/templates/CLAUDE.root.md.template create mode 100644 .claude/skills/codebase-analyzer/templates/CLAUDE.subtree.md.template create mode 100644 CLAUDE.md delete mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit.xml create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_en.xml create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_kr.xml diff --git a/.claude/skills/codebase-analyzer/SKILL.md b/.claude/skills/codebase-analyzer/SKILL.md new file mode 100644 index 0000000..0a113fc --- /dev/null +++ b/.claude/skills/codebase-analyzer/SKILL.md @@ -0,0 +1,157 @@ +--- +name: codebase-analyzer +description: This skill should be used when the user asks to "initialize auto-memory", "create CLAUDE.md", "set up project memory", or runs the /auto-memory:init command. Analyzes codebase structure and generates CLAUDE.md files using the exact template format with AUTO-MANAGED markers. +--- + +# Codebase Analyzer + +Analyze project structure and generate CLAUDE.md files interactively. + +## Guidelines + +**MANDATORY**: All rules below must be followed exactly. Violations produce incorrect CLAUDE.md content. + +@../shared/references/guidelines.md + +## Algorithm + +### 1. Check Existing CLAUDE.md + +If CLAUDE.md already exists, ask the user how to handle it: +- **Migrate**: Convert to auto-managed format (add markers) +- **Backup**: Create CLAUDE.md.backup and generate fresh +- **Merge**: Keep manual sections, add auto-managed sections +- **Cancel**: Abort initialization + +### 2. Scan Directory Structure + +Detect frameworks and build systems: +- `package.json` - Node.js/JavaScript +- `pyproject.toml`, `setup.py` - Python +- `Cargo.toml` - Rust +- `go.mod` - Go +- `Makefile` - Make-based builds +- `Dockerfile` - Container builds + +Extract build/test/lint commands from config files. + +### 3. Identify Subtree Candidates + +Look for framework boundaries that warrant separate CLAUDE.md files: +- `src/` with 10+ source files +- `lib/` directory +- `packages/*` (monorepo packages) +- `apps/*` (monorepo applications) + +### 4. Detect Code Patterns + +Analyze source files for conventions: +- **Naming**: PascalCase, camelCase, snake_case usage +- **Imports**: ES6 modules, CommonJS, ordering patterns +- **Architecture**: Feature-based, layered, MVC patterns +- **Style**: Indentation, quotes, semicolons + +### 5. Fetch Memory Guidelines (Optional) + +If network available, fetch from `https://code.claude.com/docs/en/memory`: +- Use WebFetch tool +- Extract relevant sections for context +- Reference official guidelines above as primary source + +### 6. Present Findings + +Use AskUserQuestion to confirm: +- Detected framework and commands +- Suggested subtree locations +- Detected patterns + +### 7. Generate CLAUDE.md + +Generate files using the EXACT template structure. Follow these steps precisely: + +1. **Copy template skeleton** - Use template file as the base structure +2. **Use exact marker format** - See Marker Syntax section below +3. **Replace placeholders** - Substitute `{{PLACEHOLDER}}` with detected content +4. **Include all required sections** - Even if content is minimal, include the section +5. **Add MANUAL section** at the end for user notes +6. **Size limits**: Root 150-200 lines, Subtrees 50-75 lines + +## Marker Syntax + +**CRITICAL**: Use the EXACT marker format below. Do NOT use variations. + +```markdown + +## Section Heading + +Content goes here + + +``` + +For user-editable content: + +```markdown + +## Custom Notes + +Add project-specific notes here. This section is never auto-modified. + + +``` + +**Common mistakes to avoid**: +- `` - WRONG (no BEGIN prefix) +- `` - WRONG (no name in closing tag) +- `` - WRONG (missing colon) + +## Section Definitions + +### Root CLAUDE.md Sections + +Generate these sections in order: + +| Section Name | Heading | Required | Placeholder | Content | +|--------------|---------|----------|-------------|---------| +| `project-description` | ## Overview | Yes | `{{DESCRIPTION}}` | Project name, tagline, key features | +| `build-commands` | ## Build & Development Commands | Yes | `{{BUILD_COMMANDS}}` | Build, test, lint, run commands | +| `architecture` | ## Architecture | Yes | `{{ARCHITECTURE}}` | Directory tree, key files, data flow | +| `conventions` | ## Code Conventions | Yes | `{{CONVENTIONS}}` | Naming, imports, formatting rules | +| `patterns` | ## Detected Patterns | Yes | `{{PATTERNS}}` | AI-detected recurring code patterns | +| `git-insights` | ## Git Insights | No | `{{GIT_INSIGHTS}}` | Key commits, design decisions | +| `best-practices` | ## Best Practices | No | `{{BEST_PRACTICES}}` | From official Claude Code docs | + +### Subtree CLAUDE.md Sections + +Generate these sections in order: + +| Section Name | Heading | Required | Placeholder | Content | +|--------------|---------|----------|-------------|---------| +| `module-description` | ## Purpose | Yes | `{{DESCRIPTION}}` | Module purpose and responsibility | +| `architecture` | ## Module Architecture | Yes | `{{ARCHITECTURE}}` | Module structure, key files | +| `conventions` | ## Module-Specific Conventions | Yes | `{{CONVENTIONS}}` | Module-specific rules | +| `dependencies` | ## Key Dependencies | Yes | `{{DEPENDENCIES}}` | Module dependencies | + +## Templates + +Reference the template files for exact structure: + +### Root Template +@templates/CLAUDE.root.md.template + +### Subtree Template +@templates/CLAUDE.subtree.md.template + +## User Interactions + +Use AskUserQuestion for: +1. Existing CLAUDE.md handling (migrate/backup/merge/cancel) +2. Subtree location confirmation +3. Final approval before writing files + +## Output + +After generating files, report: +- Files created/modified +- Sections populated +- Any warnings or suggestions diff --git a/.claude/skills/codebase-analyzer/templates/CLAUDE.root.md.template b/.claude/skills/codebase-analyzer/templates/CLAUDE.root.md.template new file mode 100644 index 0000000..caefd4d --- /dev/null +++ b/.claude/skills/codebase-analyzer/templates/CLAUDE.root.md.template @@ -0,0 +1,59 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + + +## Overview + +{{DESCRIPTION}} + + + + +## Build & Development Commands + +{{BUILD_COMMANDS}} + + + + +## Architecture + +{{ARCHITECTURE}} + + + + +## Code Conventions + +{{CONVENTIONS}} + + + + +## Detected Patterns + +{{PATTERNS}} + + + + +## Git Insights + +{{GIT_INSIGHTS}} + + + + +## Best Practices + +{{BEST_PRACTICES}} + + + + +## Custom Notes + +Add project-specific notes here. This section is never auto-modified. + + diff --git a/.claude/skills/codebase-analyzer/templates/CLAUDE.subtree.md.template b/.claude/skills/codebase-analyzer/templates/CLAUDE.subtree.md.template new file mode 100644 index 0000000..6a0d412 --- /dev/null +++ b/.claude/skills/codebase-analyzer/templates/CLAUDE.subtree.md.template @@ -0,0 +1,34 @@ +# Module: {{MODULE_NAME}} + + +## Purpose + +{{DESCRIPTION}} + + + + +## Module Architecture + +{{ARCHITECTURE}} + + + + +## Module-Specific Conventions + +{{CONVENTIONS}} + + + + +## Key Dependencies + +{{DEPENDENCIES}} + + + + +## Notes + + diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..482ddf6 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,131 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + + +## Overview + +**Act Operator** is a production-ready CLI tool that scaffolds structured LangGraph 1.0+ projects ("Act" projects) with built-in AI collaboration capabilities. + +Key features: +- Generate modular LangGraph project structures via `act new` +- Add new graph components ("Casts") via `act cast` +- Multi-language template support (English/Korean) +- Built-in Claude Code skills for architecture, development, and testing + + + + +## Build & Development Commands + +```bash +# Install dependencies +uv sync + +# Run CLI directly +uv run act new # Create new Act project +uv run act cast # Add Cast to existing project + +# Run tests (ignores scaffold templates) +uv run pytest + +# Lint and format +pre-commit run --all-files # Run all pre-commit hooks +ruff check --fix # Lint with auto-fix +ruff format # Format code + +# Build package +uv build +``` + + + + +## Architecture + +``` +Act-Operator/ +├── act_operator/ # Package root (contains pyproject.toml) +│ ├── pyproject.toml # Package config (hatchling build) +│ ├── uv.lock # Dependency lock file +│ └── act_operator/ # Source code +│ ├── __init__.py # Version: __version__ +│ ├── __main__.py # Entry point +│ ├── cli.py # Typer CLI commands (new, cast) +│ ├── utils.py # Name normalization, cookiecutter rendering +│ ├── version.py # Version utilities +│ ├── scaffold/ # Cookiecutter template +│ │ ├── cookiecutter.json # Template variables +│ │ └── {{ cookiecutter.act_slug }}/ # Template directory +│ │ ├── casts/ # Graph modules +│ │ ├── tests/ # Test structure +│ │ ├── .claude/skills/ # AI collaboration skills +│ │ └── ... +│ └── tests/ # Unit & integration tests +├── .claude/skills/ # CLI tool's own skills +├── .pre-commit-config.yaml # Pre-commit hooks (ruff, uv-lock) +├── CONTRIBUTING.md # Contribution guide +└── README.md # Project documentation +``` + +**Data Flow:** +1. User runs `act new` → CLI prompts for act/cast names +2. `build_name_variants()` normalizes names (slug, snake, title, pascal) +3. `render_cookiecutter_template()` generates project from scaffold +4. Post-processing normalizes cast directories to snake_case + + + + +## Code Conventions + +- **Naming**: snake_case for functions/variables, PascalCase for classes +- **Type hints**: Required on all function signatures +- **Imports**: Sorted by ruff (isort rules), `from __future__ import annotations` first +- **Docstrings**: Google-style with Args/Returns/Raises sections +- **Private functions**: Prefixed with `_` (e.g., `_resolve_path`, `_validate_name`) +- **Constants**: UPPER_SNAKE_CASE at module level +- **Dataclasses**: Use `slots=True, frozen=True` for immutable data +- **Enums**: Use `str, Enum` base for string enums (e.g., `Language`) +- **Error handling**: Raise `typer.Exit(code=EXIT_CODE_ERROR)` for CLI errors + + + + +## Detected Patterns + +- **CLI Pattern**: Typer with callback for root command, subcommands via `@app.command()` +- **Name Normalization**: `NameVariants` dataclass holds slug/snake/title/pascal variants +- **Template Rendering**: Cookiecutter with post-processing for directory normalization +- **Validation**: Early validation with immediate user feedback via Rich console +- **Language Support**: `Language` enum with `from_string()` class method for flexible parsing +- **File Updates**: JSON/TOML manipulation for langgraph.json and pyproject.toml + + + + +## Git Insights + +- **Main branch**: `main` +- **Commit style**: Conventional commits (fix:, feat:, chore:, etc.) +- **Pre-commit hooks**: uv-lock, ruff (lint + format) + + + + +## Best Practices + +- Always run `uv sync` after modifying dependencies +- Run `pre-commit run --all-files` before committing +- Keep scaffold templates in sync with CLI logic changes +- Test CLI commands with both interactive and non-interactive modes +- Validate name inputs early to provide clear error messages + + + + +## Custom Notes + +Add project-specific notes here. This section is never auto-modified. + + diff --git a/act_operator/act_operator/__init__.py b/act_operator/act_operator/__init__.py index 3ced358..b5fdc75 100644 --- a/act_operator/act_operator/__init__.py +++ b/act_operator/act_operator/__init__.py @@ -1 +1 @@ -__version__ = "0.2.1" +__version__ = "0.2.2" diff --git a/act_operator/act_operator/cli.py b/act_operator/act_operator/cli.py index 0e56aa2..356a49c 100644 --- a/act_operator/act_operator/cli.py +++ b/act_operator/act_operator/cli.py @@ -18,6 +18,7 @@ build_name_variants, render_cookiecutter_cast_subproject, render_cookiecutter_template, + select_drawkit_by_language, update_langgraph_registry, ) @@ -507,6 +508,15 @@ def _generate_project( # Normalize cast directory naming _normalize_cast_directory(target_dir, cast) + # Select appropriate drawkit file based on language + try: + select_drawkit_by_language(target_dir, lang) + except FileNotFoundError as error: + console.print(f"[yellow]Warning: {error}[/yellow]") + except OSError as error: + console.print(f"[red]Failed to process drawkit file: {error}[/red]") + raise typer.Exit(code=EXIT_CODE_ERROR) from error + # Display summary _display_project_summary(act.title, cast.title, lang, target_dir) diff --git a/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit.xml b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit.xml deleted file mode 100644 index bc811e1..0000000 --- a/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit.xml +++ /dev/null @@ -1,155 +0,0 @@ -[ - { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" parent=\"1\" style=\"swimlane;whiteSpace=wrap;html=1;fillColor=light-dark(#131720,#131720);strokeColor=light-dark(#DAE3EF,#DAE3EF);fontColor=light-dark(#DAE3EF,#DAE3EF);fontSize=40;startSize=60;\" value=\"&lt;font style=&quot;font-size: 36px;&quot;&gt;주요 기호 구성표&lt;/font&gt;\" vertex=\"1\"><mxGeometry height=\"940\" width=\"1290\" as=\"geometry\"><mxRectangle height=\"30\" width=\"100\" x=\"-2940\" y=\"-890\" as=\"alternateBounds\"/></mxGeometry></mxCell><mxCell id=\"3\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 130%;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;&lt;font style=&quot;font-size: 14px; line-height: 130%;&quot;&gt;흐름도는 진행 단계와 무관하게 워크플로우와 일치되도록 상시 업데이트를 권장합니다.&lt;/font&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;font-size: 14px; line-height: 130%;&quot;&gt;&lt;b&gt;이 기호 구성표는 Act Template 기반 기본 구성이므로, 필요 시 조직 상황과 환경에 맞게 추가/변형하여 사용하시기 바랍니다.&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"742.5\" x=\"273.75\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"4\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"1010\" y=\"560\" as=\"sourcePoint\"/><mxPoint x=\"1010\" y=\"620\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"5\" parent=\"2\" style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;\" value=\"프로세스 노드/&lt;span style=&quot;&quot;&gt;기능&lt;/span&gt;&lt;div style=&quot;&quot;&gt;[노드/기능 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"6\" parent=\"2\" style=\"shape=cylinder3;whiteSpace=wrap;html=1;boundedLbl=1;backgroundOutline=1;size=15;strokeWidth=2;fillColor=#b0e3e6;strokeColor=#0e8088;\" value=\"데이터베이스/스토리지&lt;div&gt;[저장소 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"7\" parent=\"2\" style=\"rhombus;whiteSpace=wrap;html=1;strokeWidth=2;fillColor=#d0cee2;strokeColor=#56517e;\" value=\"조건부 판단 엣지&lt;div&gt;[함수 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"8\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"노드/기능&lt;div&gt;입/출력 데이터&lt;/div&gt;&lt;div&gt;[&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;데이터 이름]&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"9\" parent=\"2\" style=\"shape=process;whiteSpace=wrap;html=1;backgroundOutline=1;strokeWidth=2;rounded=1;glass=0;shadow=0;\" value=\"&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;이미&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;정의된&lt;br&gt;&lt;/span&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;프로세스&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;노드/&lt;/span&gt;&lt;span style=&quot;text-align: left;&quot;&gt;기능&lt;/span&gt;&lt;/div&gt;&lt;div&gt;[노드/기능 이름]&lt;span style=&quot;text-align: left;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"10\" parent=\"2\" 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light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast 연결자&lt;/span&gt;&lt;div&gt;[연결되는 Cast 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"12\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"882.5\" y=\"570\" as=\"sourcePoint\"/><mxPoint x=\"972.5\" y=\"570\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"13\" connectable=\"0\" parent=\"12\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&lt;span&gt;정방향 흐름&lt;/span&gt;\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"14\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"972.5\" y=\"610\" as=\"sourcePoint\"/><mxPoint x=\"882.5\" y=\"610\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"15\" connectable=\"0\" parent=\"14\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"역방향 흐름\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"16\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"992\" y=\"620\" as=\"sourcePoint\"/><mxPoint x=\"992\" y=\"560\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"17\" parent=\"2\" style=\"verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"100\" x=\"902.5\" y=\"695\" as=\"geometry\"/></mxCell><mxCell id=\"18\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=left;pointerEvents=1;labelPosition=right;verticalLabelPosition=middle;verticalAlign=middle;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"20\" x=\"890\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"19\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"17.5\" x=\"970\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"20\" parent=\"2\" style=\"html=1;strokeWidth=2;shape=manualInput;whiteSpace=wrap;rounded=1;size=13;arcSize=11;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"인간 수동 입력 데이터&lt;div&gt;[데이터 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"21\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;Predefine&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Recycle Node/&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Function&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;기존에 현/다른 Cast/Act에서 이미 정의된 노드/함수&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"22\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Process Node or Feature Function&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;최소 작업/&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;기능&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;단위의 노드/&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;함수&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"23\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Database&amp;nbsp;&lt;/b&gt;&lt;/span&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;or&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;Storage&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;MySQL, MongoDB, S3 등과 같은&lt;br&gt;보관 매체에 데이터가 저장되는 공간&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"24\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Conditional Edge&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;내부 이벤트 또는 트리거 발생 시&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;결정 경로 - Router, Branch out, IF Function 등&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"25\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Input or Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;text-align: center;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: left;&quot;&gt;노드 또는 기능 함수에 입력되거나&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;출력이 되는 상태 데이터&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"26\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 150%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Final Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Cast를 거치고 최종적으로 나온 &lt;br&gt;출력 상태 데이터&lt;br&gt;(LangGraph&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;State&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Output Schema)&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"27\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Memory or Default/Initial Value&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Langchain Memory 또는 값이 고정되어 있거나 외부 데이터가 결합된 기본/초기 설정값&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"211\" x=\"189\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"28\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Human Manual Input&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;인간 조작이 필요한 수동 입력 데이터&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"29\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"병렬 흐름\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"917.5\" y=\"735\" as=\"geometry\"/></mxCell><mxCell id=\"30\" connectable=\"0\" parent=\"2\" 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style=\"shape=sumEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"975\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"33\" parent=\"2\" style=\"shape=orEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"890\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"34\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"접합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"80\" x=\"955\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"35\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"논리합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"90\" x=\"865\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"36\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"개체 주석\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"957.5\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Internal Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Act '내부'에 있는 다른 Cast와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"38\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;External Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당&lt;/span&gt;&amp;nbsp;Act '외부'에 있는 다른 Act의 Cast&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"39\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Edge/Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 플로우차트의 정방향은 '우향',&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;역방향은 '좌향'이며 그 외는 부속 흐름으로&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;간주하여 표시,&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;선이 겹치거나 가려져선 안 됨.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"40\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Parrallel&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Edge/Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;노드/기능이 병렬적으로 수행됨을 표시 (MCP, A2A, Pallelization과 같은 그룹과 연결되는 흐름에 사용)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"680\" 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style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호를 사용하여 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"235\" x=\"1045\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"42\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;OR,&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;OR:&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;여러 분기가 하나의 프로세스로 다시 모일 때 분기 중 최소 하나 이상 모이는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM: 여러 분기가 하나의 프로세스로&amp;nbsp;&lt;/span&gt;다시 모일 때 전부&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;합쳐지는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"110\" width=\"245\" x=\"1035\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"43\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;※ Act: Product /&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Project / Repository / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;※ Cast:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Graph / Workflow / Package / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"259\" x=\"11\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"44\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent;&quot;&gt;논리적 그룹/영역&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;[그룹 이름]&lt;span style=&quot;background-color: transparent;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"45\" 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"xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"&lt;font style=&quot;&quot;&gt;물리적 그룹/영역&lt;/font&gt;&lt;div&gt;[그룹 이름]&lt;/div&gt;\" style=\"fillColor=none;strokeColor=#0066CC;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;strokeWidth=2;\" vertex=\"1\" parent=\"1\"><mxGeometry width=\"160\" height=\"100\" as=\"geometry\"/></mxCell></root></mxGraphModel>", - "w": 160, - "h": 100, - "aspect": "fixed", - "title": "Physical Group/Zone" - }, - { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"&lt;div style=&quot;&quot;&gt;논리적 그룹/영역&lt;/div&gt;&lt;div style=&quot;&quot;&gt;[그룹 이름]&lt;/div&gt;\" style=\"fillColor=none;strokeColor=#DD3522;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" vertex=\"1\" parent=\"1\"><mxGeometry width=\"160\" height=\"100\" as=\"geometry\"/></mxCell></root></mxGraphModel>", - "w": 160, - "h": 100, - "aspect": "fixed", - "title": "Logical Group/Zone" - }, - { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"내부&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast 연결자&lt;/span&gt;&lt;div&gt;[연결되는 Cast 이름]&lt;/div&gt;\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=mxgraph.flowchart.on-page_reference;strokeWidth=2;labelPosition=center;align=center;fillColor=#f8cecc;strokeColor=#b85450;shadow=0;whiteSpace=wrap;\" vertex=\"1\" parent=\"1\"><mxGeometry width=\"160\" height=\"100\" as=\"geometry\"/></mxCell></root></mxGraphModel>", - "w": 160, - "h": 100, - "aspect": "fixed", - "title": "Internal Connector" - }, - { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"&lt;div&gt;외부&amp;nbsp;&lt;span 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style=\"shape=orEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=1;\" vertex=\"1\" parent=\"1\"><mxGeometry width=\"40\" height=\"40\" as=\"geometry\"/></mxCell></root></mxGraphModel>", - "w": 40, - "h": 40, - "aspect": "fixed", - "title": "OR" - }, - { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"\" style=\"shape=sumEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=1;\" vertex=\"1\" parent=\"1\"><mxGeometry width=\"40\" height=\"40\" as=\"geometry\"/></mxCell></root></mxGraphModel>", - "w": 40, - "h": 40, - "aspect": "fixed", - "title": "SUM" - }, - { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"\" style=\"endArrow=classic;html=1;rounded=0;\" edge=\"1\" parent=\"1\"><mxGeometry width=\"50\" height=\"50\" relative=\"1\" as=\"geometry\"><mxPoint x=\"127.5\" as=\"sourcePoint\"/><mxPoint x=\"127.5\" y=\"60\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"3\" value=\"\" style=\"endArrow=classic;html=1;rounded=0;\" edge=\"1\" parent=\"1\"><mxGeometry width=\"50\" height=\"50\" relative=\"1\" as=\"geometry\"><mxPoint y=\"10\" as=\"sourcePoint\"/><mxPoint x=\"90\" y=\"10\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"4\" value=\"&lt;span&gt;정방향 흐름&lt;/span&gt;\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" connectable=\"0\" vertex=\"1\" parent=\"3\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"5\" value=\"\" style=\"endArrow=classic;html=1;rounded=0;\" edge=\"1\" parent=\"1\"><mxGeometry width=\"50\" height=\"50\" relative=\"1\" as=\"geometry\"><mxPoint x=\"90\" y=\"50\" as=\"sourcePoint\"/><mxPoint y=\"50\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"6\" value=\"역방향 흐름\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" connectable=\"0\" vertex=\"1\" parent=\"5\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"7\" value=\"\" style=\"endArrow=classic;html=1;rounded=0;\" edge=\"1\" parent=\"1\"><mxGeometry width=\"50\" height=\"50\" relative=\"1\" as=\"geometry\"><mxPoint x=\"109.5\" y=\"60\" as=\"sourcePoint\"/><mxPoint x=\"109.5\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"8\" value=\"&lt;span&gt;부속 흐름&lt;/span&gt;\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" connectable=\"0\" vertex=\"1\" parent=\"1\"><mxGeometry x=\"120\" y=\"30\" as=\"geometry\"><mxPoint y=\"-1\" as=\"offset\"/></mxGeometry></mxCell></root></mxGraphModel>", - "w": 128.3695652173913, - "h": 60.0000000000002, - "aspect": "fixed", - "title": "Edge/Flow Guideline" - }, - { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"\" style=\"verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1;strokeWidth=1;\" vertex=\"1\" parent=\"1\"><mxGeometry y=\"-2.2737367544323206e-13\" width=\"100\" height=\"40\" as=\"geometry\"/></mxCell></root></mxGraphModel>", - "w": 100, - "h": 40, - "aspect": "fixed", - "title": "Parrallel Edge/Flow" - }, - { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"[설명]\" style=\"strokeWidth=1;html=1;shape=mxgraph.flowchart.annotation_1;align=left;pointerEvents=1;labelPosition=right;verticalLabelPosition=middle;verticalAlign=middle;\" vertex=\"1\" parent=\"1\"><mxGeometry x=\"40\" width=\"20\" height=\"100\" as=\"geometry\"/></mxCell><mxCell id=\"3\" value=\"[설명]\" style=\"strokeWidth=1;html=1;shape=mxgraph.flowchart.annotation_1;align=center;pointerEvents=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;direction=south;\" vertex=\"1\" parent=\"1\"><mxGeometry y=\"110\" width=\"100\" height=\"10\" as=\"geometry\"/></mxCell></root></mxGraphModel>", - "w": 100, - "h": 120, - "aspect": "fixed", - "title": "Group Annotation" - }, - { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"[설명]\" style=\"strokeWidth=1;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" vertex=\"1\" parent=\"1\"><mxGeometry x=\"30\" width=\"40\" height=\"100\" as=\"geometry\"/></mxCell><mxCell id=\"3\" value=\"[설명]\" style=\"strokeWidth=1;html=1;shape=mxgraph.flowchart.annotation_2;align=center;labelPosition=center;pointerEvents=1;direction=south;verticalLabelPosition=bottom;verticalAlign=top;\" vertex=\"1\" parent=\"1\"><mxGeometry y=\"110\" width=\"100\" height=\"35\" as=\"geometry\"/></mxCell></root></mxGraphModel>", - "w": 100, - "h": 145, - "aspect": "fixed", - "title": "Entity Annotation" - } -] \ No newline at end of file diff --git a/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_en.xml b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_en.xml new file mode 100644 index 0000000..a8b2127 --- /dev/null +++ b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_en.xml @@ -0,0 +1,156 @@ +[ + { + "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" parent=\"1\" style=\"swimlane;whiteSpace=wrap;html=1;fillColor=light-dark(#131720,#131720);strokeColor=light-dark(#DAE3EF,#DAE3EF);fontColor=light-dark(#DAE3EF,#DAE3EF);fontSize=40;startSize=60;\" value=\"&lt;font style=&quot;font-size: 36px;&quot;&gt;Main Symbol Components&lt;/font&gt;\" vertex=\"1\"><mxGeometry height=\"940\" width=\"1290\" as=\"geometry\"><mxRectangle height=\"50\" width=\"480\" x=\"-240\" y=\"-50\" as=\"alternateBounds\"/></mxGeometry></mxCell><mxCell id=\"3\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 130%;&quot;&gt;&lt;b&gt;Regardless of the development stage, it is recommended to continuously update the workflow integrity and consistency.&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;line-height: 130%;&quot;&gt;&lt;b&gt;This symbol structure is based on Act Template basic components, so please add/modify as needed to fit your organization's situation and environment.&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"886.25\" x=\"200\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"4\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"1010\" y=\"560\" as=\"sourcePoint\"/><mxPoint x=\"1010\" y=\"620\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"5\" parent=\"2\" style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;\" value=\"Process Node / Function&lt;div&gt;[Node/Function Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"6\" parent=\"2\" style=\"shape=cylinder3;whiteSpace=wrap;html=1;boundedLbl=1;backgroundOutline=1;size=15;strokeWidth=2;fillColor=#b0e3e6;strokeColor=#0e8088;\" value=\"Database / Storage&lt;div&gt;[Store Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"7\" parent=\"2\" style=\"rhombus;whiteSpace=wrap;html=1;strokeWidth=2;fillColor=#d0cee2;strokeColor=#56517e;\" value=\"Conditional Edge&lt;div&gt;[Branch Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"8\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"Node / Function&lt;div&gt;Input / Output Data&lt;/div&gt;&lt;div&gt;[Data Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"9\" parent=\"2\" style=\"shape=process;whiteSpace=wrap;html=1;backgroundOutline=1;strokeWidth=2;rounded=1;glass=0;shadow=0;\" value=\"Predefine Recycle Node / Function&lt;div&gt;[Node/Function Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"10\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=offPageConnector;rounded=0;size=0.1;strokeWidth=2;fillColor=#f8cecc;strokeColor=#b85450;labelPosition=center;align=center;whiteSpace=wrap;\" value=\"&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;External Cast Connector&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;[Connected&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Act-Cast Name]&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"11\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=mxgraph.flowchart.on-page_reference;strokeWidth=2;labelPosition=center;align=center;fillColor=#f8cecc;strokeColor=#b85450;shadow=0;whiteSpace=wrap;\" value=\"Internal Cast Connector&lt;div&gt;[Connected Cast Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"12\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"882.5\" y=\"570\" 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style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=left;pointerEvents=1;labelPosition=right;verticalLabelPosition=middle;verticalAlign=middle;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"10\" x=\"890\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"19\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"17.5\" x=\"960\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"20\" parent=\"2\" style=\"html=1;strokeWidth=2;shape=manualInput;whiteSpace=wrap;rounded=1;size=13;arcSize=11;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"&lt;div&gt;Human Manual Input&lt;/div&gt;&lt;div&gt;[Data Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"21\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;Predefine&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Recycle Node /&amp;nbsp;&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Function&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;Reusable other cast's nodes defined in advance&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"22\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Process Node / Feature Function&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;Core function/feature nodes in the graph.&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"23\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Database /&lt;/b&gt;&lt;/span&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;Storage&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;MySQL, MongoDB, S3, etc. for storing or retrieving data from external databases&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"24\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Conditional Edge&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Decision point when internal events or triggers occur - Router, Branch out, IF Function, etc.&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"25\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Input / Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Data input to or output from a function/process&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"26\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 150%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Final Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;Result data returned to the outermost Cast.&lt;/div&gt;&lt;div&gt;(LangGraph State Output Schema)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"27\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Memory or Default / Initial Value&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Memory, graph initial/default values or temporary data storage&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"211\" x=\"189\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"28\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Human Manual Input&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Data input that can only be entered manually by humans&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"29\" parent=\"2\" style=\"text;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Parrallel Edge / Flow\" vertex=\"1\"><mxGeometry height=\"30\" width=\"130\" x=\"887.5\" y=\"735\" as=\"geometry\"/></mxCell><mxCell id=\"30\" connectable=\"0\" parent=\"2\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&amp;nbsp;Auxiliary\" vertex=\"1\"><mxGeometry x=\"1002.5\" y=\"590\" as=\"geometry\"><mxPoint y=\"-1\" as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"31\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Group\" vertex=\"1\"><mxGeometry height=\"30\" width=\"60\" x=\"880\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"32\" parent=\"2\" style=\"shape=sumEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"975\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"33\" parent=\"2\" style=\"shape=orEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"890\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"34\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"&lt;div&gt;Junction&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"960\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"35\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Disjunction\" vertex=\"1\"><mxGeometry height=\"30\" width=\"80\" x=\"870\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"36\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Entity\" vertex=\"1\"><mxGeometry height=\"30\" width=\"50\" x=\"965\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Internal Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Connection point to other Casts within the same Act&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"38\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;External Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Connection point to Casts of other Acts outside the current Act&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"39\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Edge / Flow Guide&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;The normal flow goes right; reverse flow goes left. Any other paths are auxiliary flows. Line must not overlap or be hidden.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"40\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Parrallel&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Edge / Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Parallel execution flow (MCP, A2A, Parallelization, etc. using concurrent/parallel processing)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"41\" parent=\"2\" 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style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;verticalAlign=middle;fontFamily=Helvetica;fontSize=12;\" value=\"Text Analyst Agent\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"620\" y=\"710\" as=\"geometry\"/></mxCell><mxCell id=\"13\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.056249999999999994;fillColor=#eeeeee;strokeColor=#36393d;align=center;verticalAlign=middle;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Analysis Report,&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Incoming Message&lt;/span&gt;&lt;/div&gt;&lt;div&gt;(report: str,&lt;/div&gt;&lt;div&gt;received_message: 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value=\"&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Reply Draft&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;(draft: str&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;)&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"420\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"16\" edge=\"1\" parent=\"2\" source=\"17\" style=\"edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;\" target=\"31\"><mxGeometry relative=\"1\" as=\"geometry\"/></mxCell><mxCell id=\"17\" parent=\"2\" style=\"html=1;strokeWidth=2;shape=manualInput;whiteSpace=wrap;rounded=1;size=13;arcSize=11;fillColor=#eeeeee;strokeColor=#36393d;align=center;verticalAlign=middle;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"&lt;div&gt;Incoming Message&lt;/div&gt;&lt;div&gt;(&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;received_message: str&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;)&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"710\" as=\"geometry\"/></mxCell><mxCell id=\"18\" edge=\"1\" parent=\"2\" 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value=\"&lt;div&gt;Interpreted Slang&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Definitions&lt;/span&gt;&lt;/div&gt;&lt;div&gt;(slangs: dict)&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"720\" y=\"300\" as=\"geometry\"/></mxCell><mxCell id=\"23\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=mxgraph.flowchart.on-page_reference;strokeWidth=2;labelPosition=center;align=center;fillColor=#f8cecc;strokeColor=#b85450;shadow=0;whiteSpace=wrap;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Reply Cast\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"218\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"24\" edge=\"1\" parent=\"2\" source=\"25\" style=\"edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;\" target=\"28\"><mxGeometry relative=\"1\" as=\"geometry\"/></mxCell><mxCell id=\"25\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#d5e8d4;strokeColor=#82b366;\" value=\"&lt;div&gt;Spell Corrected Reply&lt;/div&gt;&lt;div&gt;(amendment:str)&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"820\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"26\" edge=\"1\" parent=\"2\" source=\"52\" style=\"edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;\" target=\"32\"><mxGeometry relative=\"1\" as=\"geometry\"/></mxCell><mxCell id=\"27\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.11538461538461539;fillColor=#d5e8d4;strokeColor=#82b366;\" value=\"&lt;div&gt;Final Reply&lt;/div&gt;&lt;div&gt;(reply: str)&lt;/div&gt;\" vertex=\"1\"><mxGeometry 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as=\"geometry\"/></mxCell><mxCell id=\"31\" parent=\"2\" style=\"ellipse;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Start&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"220\" y=\"710\" as=\"geometry\"/></mxCell><mxCell id=\"32\" parent=\"2\" style=\"ellipse;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;End&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"2720\" y=\"710\" as=\"geometry\"/></mxCell><mxCell id=\"33\" parent=\"2\" style=\"verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1;strokeWidth=1;direction=south;\" value=\"\" vertex=\"1\"><mxGeometry height=\"100\" width=\"40\" x=\"680\" 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style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;align=center;verticalAlign=middle;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"&lt;div&gt;Interpreted Terminology Definitions&lt;/div&gt;&lt;div&gt;(terminologies: dict)&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"720\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=right;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;font face=&quot;Helvetica&quot;&gt;※&amp;nbsp;&lt;span style=&quot;background-color: oklch(0.2167 0.002 197.04); text-align: left;&quot;&gt;This Act is an illustrative example designed to demonstrate DrawKit usage. 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style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=center;labelPosition=center;pointerEvents=1;direction=south;verticalLabelPosition=bottom;verticalAlign=top;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"20\" width=\"60\" y=\"40\" as=\"geometry\"/></mxCell></root></mxGraphModel>", + "w": 60, + "h": 60, + "aspect": "fixed", + "title": "Entity Annotation" + } +] \ No newline at end of file diff --git a/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_kr.xml b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_kr.xml new file mode 100644 index 0000000..496854f --- /dev/null +++ b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_kr.xml @@ -0,0 +1,156 @@ +[ + { + "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" parent=\"1\" style=\"swimlane;whiteSpace=wrap;html=1;fillColor=light-dark(#131720,#131720);strokeColor=light-dark(#DAE3EF,#DAE3EF);fontColor=light-dark(#DAE3EF,#DAE3EF);fontSize=40;startSize=60;\" value=\"&lt;font style=&quot;font-size: 36px;&quot;&gt;주요 기호 구성표&lt;/font&gt;\" vertex=\"1\"><mxGeometry height=\"940\" width=\"1290\" as=\"geometry\"><mxRectangle height=\"50\" width=\"300\" x=\"1090\" y=\"-50\" as=\"alternateBounds\"/></mxGeometry></mxCell><mxCell id=\"3\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 130%;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;&lt;font style=&quot;font-size: 14px; line-height: 130%;&quot;&gt;흐름도는 진행 단계와 무관하게 워크플로우와 일치되도록 상시 업데이트를 권장합니다.&lt;/font&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;font-size: 14px; line-height: 130%;&quot;&gt;&lt;b&gt;이 기호 구성표는 Act Template 기반 기본 구성이므로, 필요 시 조직 상황과 환경에 맞게 추가/변형하여 사용하시기 바랍니다.&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"742.5\" x=\"273.75\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"4\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"1010\" y=\"560\" as=\"sourcePoint\"/><mxPoint x=\"1010\" y=\"620\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"5\" parent=\"2\" style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;\" value=\"프로세스 노드 /&amp;nbsp;&lt;span style=&quot;&quot;&gt;기능&lt;/span&gt;&lt;div style=&quot;&quot;&gt;[노드/기능 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"6\" parent=\"2\" style=\"shape=cylinder3;whiteSpace=wrap;html=1;boundedLbl=1;backgroundOutline=1;size=15;strokeWidth=2;fillColor=#b0e3e6;strokeColor=#0e8088;\" value=\"데이터베이스 / 스토리지&lt;div&gt;[저장소 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"7\" parent=\"2\" style=\"rhombus;whiteSpace=wrap;html=1;strokeWidth=2;fillColor=#d0cee2;strokeColor=#56517e;\" value=\"조건부 판단 엣지&lt;div&gt;[함수 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"8\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"노드 / 기능&lt;div&gt;입/출력 데이터&lt;/div&gt;&lt;div&gt;[&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;데이터 이름]&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"9\" parent=\"2\" style=\"shape=process;whiteSpace=wrap;html=1;backgroundOutline=1;strokeWidth=2;rounded=1;glass=0;shadow=0;\" value=\"&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;이미&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;정의된&lt;br&gt;&lt;/span&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;프로세스&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;노드 /&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;text-align: left;&quot;&gt;기능&lt;/span&gt;&lt;/div&gt;&lt;div&gt;[노드/기능 이름]&lt;span style=&quot;text-align: left;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"10\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=offPageConnector;rounded=0;size=0.1;strokeWidth=2;fillColor=#f8cecc;strokeColor=#b85450;labelPosition=center;align=center;whiteSpace=wrap;\" value=\"&lt;div&gt;외부&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast 연결자&lt;/span&gt;&lt;/div&gt;&lt;div&gt;[연결되는 Act-Cast 이름]&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"11\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=mxgraph.flowchart.on-page_reference;strokeWidth=2;labelPosition=center;align=center;fillColor=#f8cecc;strokeColor=#b85450;shadow=0;whiteSpace=wrap;\" value=\"내부&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast 연결자&lt;/span&gt;&lt;div&gt;[연결되는 Cast 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"12\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"882.5\" y=\"570\" as=\"sourcePoint\"/><mxPoint x=\"972.5\" y=\"570\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"13\" connectable=\"0\" parent=\"12\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&lt;span&gt;정방향 흐름&lt;/span&gt;\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"14\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"972.5\" y=\"610\" as=\"sourcePoint\"/><mxPoint x=\"882.5\" y=\"610\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"15\" connectable=\"0\" parent=\"14\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"역방향 흐름\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"16\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"992\" y=\"620\" as=\"sourcePoint\"/><mxPoint x=\"992\" y=\"560\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"17\" parent=\"2\" style=\"verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"100\" x=\"902.5\" y=\"695\" as=\"geometry\"/></mxCell><mxCell id=\"18\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=left;pointerEvents=1;labelPosition=right;verticalLabelPosition=middle;verticalAlign=middle;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"20\" x=\"890\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"19\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"17.5\" x=\"970\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"20\" parent=\"2\" style=\"html=1;strokeWidth=2;shape=manualInput;whiteSpace=wrap;rounded=1;size=13;arcSize=11;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"인간 수동 입력 데이터&lt;div&gt;[데이터 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"21\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;Predefine&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Recycle Node /&amp;nbsp;&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Function&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;기존에 현/다른 Cast/Act에서 이미 정의된 노드/함수&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"22\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Process Node / Feature Function&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;최소 작업/&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;기능&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;단위의 노드/&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;함수&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"23\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Database /&lt;/b&gt;&lt;/span&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;Storage&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;MySQL, MongoDB, S3 등과 같은&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;보관 매체에 데이터가 저장되는 공간&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"24\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Conditional Edge&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;내부 이벤트 또는 트리거 발생 시&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;결정 경로 - Router, Branch out, IF Function 등&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"25\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Input / Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;text-align: center;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: left;&quot;&gt;노드 또는 기능 함수에 입력되거나&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;출력이 되는 상태 데이터&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"26\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 150%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Final Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Cast를 거치고 최종적으로 나온 &lt;br&gt;출력 상태 데이터&lt;br&gt;(LangGraph&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;State&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Output Schema)&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"27\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Memory or Default / Initial Value&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Memory 또는 값이 고정되어 있거나 외부 데이터가 결합된 기본/초기 설정값&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"211\" x=\"189\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"28\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Human Manual Input&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;인간 조작이 필요한 수동 입력 데이터&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"29\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"병렬 흐름\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"917.5\" y=\"735\" as=\"geometry\"/></mxCell><mxCell id=\"30\" connectable=\"0\" parent=\"2\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&lt;span&gt;부속 흐름&lt;/span&gt;\" vertex=\"1\"><mxGeometry x=\"1002.5\" y=\"590\" as=\"geometry\"><mxPoint y=\"-1\" as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"31\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"그룹 주석\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"880\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"32\" parent=\"2\" style=\"shape=sumEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"975\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"33\" parent=\"2\" style=\"shape=orEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"890\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"34\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"접합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"80\" x=\"955\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"35\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"논리합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"90\" x=\"865\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"36\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"개체 주석\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"957.5\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Internal Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Act '내부'에 있는 다른 Cast와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"38\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;External Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당&lt;/span&gt;&amp;nbsp;Act '외부'에 있는 다른 Act의 Cast&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"39\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Edge / Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 플로우차트의 정방향은 '우향',&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;역방향은 '좌향'이며 그 외는 부속 흐름으로&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;간주하여 표시,&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;선이 겹치거나 가려져선 안 됨.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"40\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Parrallel&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Edge / Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;노드/기능이 병렬적으로 수행됨을 표시 (MCP, A2A, Pallelization과 같은 그룹과 연결되는 흐름에 사용)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"41\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Annotation&lt;/b&gt;&lt;/div&gt;&lt;div&gt;여러 정보를 부가 설명할 때는 '왼쪽&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;단일 정보를 부가 설명할 때는 '오른쪽&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호를 사용하여 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"235\" x=\"1045\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"42\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;OR,&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;OR:&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;여러 분기가 하나의 프로세스로 다시 모일 때 분기 중 최소 하나 이상 모이는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM: 여러 분기가 하나의 프로세스로&amp;nbsp;&lt;/span&gt;다시 모일 때 전부&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;합쳐지는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"110\" width=\"245\" x=\"1035\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"43\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;※ Act: Product /&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Project / Repository / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;※ Cast:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Graph / Workflow&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;/ Pipeline&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;/ Package / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"320\" x=\"20\" y=\"10\" as=\"geometry\"/></mxCell><mxCell id=\"44\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent;&quot;&gt;논리적 그룹 / 영역&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;[그룹 이름]&lt;span style=&quot;background-color: transparent;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"45\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"&lt;font style=&quot;&quot;&gt;물리적 그룹 / 영역&lt;/font&gt;&lt;div&gt;[그룹 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"46\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"다른 색깔 사용 가능\" vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"730\" as=\"geometry\"/></mxCell><mxCell id=\"47\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;다른 색깔 사용 가능&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"870\" as=\"geometry\"/></mxCell><mxCell id=\"48\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Physical Group / Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;실제 코드상 파일/디렉토리 등 물리적&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;단위로&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;그룹핑이 가능한 영역&lt;/span&gt;&lt;/div&gt;&lt;div&gt;(예: Cast, MCP Server, A2A Server 등)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"49\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 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width=\"160\" height=\"100\" as=\"geometry\"/></mxCell></root></mxGraphModel>", + "w": 160, + "h": 100, + "aspect": "fixed", + "title": "Internal Connector" + }, + { + "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"&lt;div&gt;외부&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast 연결자&lt;/span&gt;&lt;/div&gt;&lt;div&gt;[연결되는 Act-Cast 이름]&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=offPageConnector;rounded=0;size=0.1;strokeWidth=2;fillColor=#f8cecc;strokeColor=#b85450;labelPosition=center;align=center;whiteSpace=wrap;\" vertex=\"1\" parent=\"1\"><mxGeometry width=\"160\" height=\"100\" as=\"geometry\"/></mxCell></root></mxGraphModel>", + "w": 160, + "h": 100, + "aspect": "fixed", + "title": 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as=\"geometry\"/></mxCell></root></mxGraphModel>", + "w": 40, + "h": 40, + "aspect": "fixed", + "title": "SUM" + }, + { + "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"\" style=\"endArrow=classic;html=1;rounded=0;\" edge=\"1\" parent=\"1\"><mxGeometry width=\"50\" height=\"50\" relative=\"1\" as=\"geometry\"><mxPoint x=\"127.5\" as=\"sourcePoint\"/><mxPoint x=\"127.5\" y=\"60\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"3\" value=\"\" style=\"endArrow=classic;html=1;rounded=0;\" edge=\"1\" parent=\"1\"><mxGeometry width=\"50\" height=\"50\" relative=\"1\" as=\"geometry\"><mxPoint y=\"10\" as=\"sourcePoint\"/><mxPoint x=\"90\" y=\"10\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"4\" value=\"&lt;span&gt;정방향 흐름&lt;/span&gt;\" 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style=\"strokeWidth=1;html=1;shape=mxgraph.flowchart.annotation_1;align=center;pointerEvents=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;direction=south;\" vertex=\"1\" parent=\"1\"><mxGeometry y=\"110\" width=\"100\" height=\"10\" as=\"geometry\"/></mxCell></root></mxGraphModel>", + "w": 100, + "h": 120, + "aspect": "fixed", + "title": "Group Annotation" + }, + { + "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"[설명]\" style=\"strokeWidth=1;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" vertex=\"1\" parent=\"1\"><mxGeometry x=\"30\" width=\"40\" height=\"100\" as=\"geometry\"/></mxCell><mxCell id=\"3\" value=\"[설명]\" style=\"strokeWidth=1;html=1;shape=mxgraph.flowchart.annotation_2;align=center;labelPosition=center;pointerEvents=1;direction=south;verticalLabelPosition=bottom;verticalAlign=top;\" vertex=\"1\" parent=\"1\"><mxGeometry y=\"110\" width=\"100\" height=\"35\" as=\"geometry\"/></mxCell></root></mxGraphModel>", + "w": 100, + "h": 145, + "aspect": "fixed", + "title": "Entity Annotation" + } +] \ No newline at end of file diff --git a/act_operator/act_operator/utils.py b/act_operator/act_operator/utils.py index 0fd1845..c47f62e 100644 --- a/act_operator/act_operator/utils.py +++ b/act_operator/act_operator/utils.py @@ -371,6 +371,40 @@ def _build_graph_reference(cast_snake: str) -> str: return f"{CAST_PATH_PREFIX}{cast_snake}/graph.py:{cast_snake}_graph" +def select_drawkit_by_language(target_dir: Path, language: str) -> None: + """Select the appropriate drawkit file based on language and rename to drawkit.xml. + + This function selects drawkit_{language}.xml and renames it to drawkit.xml, + then removes the other language variant. + + Args: + target_dir: Root directory of the rendered Act project. + language: Language code ("en" or "kr"). + + Raises: + FileNotFoundError: If the source drawkit file doesn't exist. + OSError: If file operations fail. + """ + source_file = target_dir / f"drawkit_{language}.xml" + target_file = target_dir / "drawkit.xml" + + # Determine the other language file to remove + other_lang = "kr" if language == "en" else "en" + other_file = target_dir / f"drawkit_{other_lang}.xml" + + if not source_file.exists(): + raise FileNotFoundError(f"Drawkit file not found: {source_file}") + + # Rename the selected language file to drawkit.xml + if target_file.exists(): + target_file.unlink() + source_file.rename(target_file) + + # Remove the other language file if it exists + if other_file.exists(): + other_file.unlink() + + def update_langgraph_registry( langgraph_path: Path, cast_slug: str, From 20030dcad2b0dd6d968ab63a3821e4b7e0040e28 Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Tue, 13 Jan 2026 17:33:19 +0900 Subject: [PATCH 08/12] feat: update drawkit files and images for improved visualization - Updated English and Korean drawkit XML files to enhance flowchart components and descriptions. - Removed outdated dark and light theme images, replacing them with new Korean-themed images for better localization. - Added new sample flowchart images in both dark and light themes for Korean language support. --- .../.github/images/drawkit-dark-theme.png | Bin 329371 -> 0 bytes .../.github/images/drawkit-kr-dark-theme.png | Bin 0 -> 341537 bytes .../.github/images/drawkit-kr-light-theme.png | Bin 0 -> 329268 bytes .../.github/images/drawkit-light-theme.png | Bin 331094 -> 0 bytes .../images/sample-flowchart-dark-theme.png | Bin 224936 -> 0 bytes .../images/sample-flowchart-kr-dark-theme.png | Bin 0 -> 250784 bytes .../images/sample-flowchart-kr-light-theme.png | Bin 0 -> 249559 bytes .../images/sample-flowchart-light-theme.png | Bin 229525 -> 0 bytes .../{{ cookiecutter.act_slug }}/drawkit_en.xml | 2 +- .../{{ cookiecutter.act_slug }}/drawkit_kr.xml | 2 +- 10 files changed, 2 insertions(+), 2 deletions(-) delete mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/drawkit-dark-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/drawkit-kr-dark-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/drawkit-kr-light-theme.png delete mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/drawkit-light-theme.png delete mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/sample-flowchart-dark-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/sample-flowchart-kr-dark-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/sample-flowchart-kr-light-theme.png delete mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/sample-flowchart-light-theme.png diff --git 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style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=mxgraph.flowchart.on-page_reference;strokeWidth=2;labelPosition=center;align=center;fillColor=#f8cecc;strokeColor=#b85450;shadow=0;whiteSpace=wrap;\" value=\"Internal Cast Connector&lt;div&gt;[Connected Cast Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"12\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"882.5\" y=\"570\" as=\"sourcePoint\"/><mxPoint x=\"972.5\" y=\"570\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"13\" connectable=\"0\" parent=\"12\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&amp;nbsp;Normal&amp;nbsp;\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"14\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"972.5\" y=\"610\" as=\"sourcePoint\"/><mxPoint x=\"882.5\" y=\"610\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"15\" connectable=\"0\" parent=\"14\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&amp;nbsp;Reverse&amp;nbsp;\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"16\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"992\" y=\"620\" as=\"sourcePoint\"/><mxPoint x=\"992\" y=\"560\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"17\" parent=\"2\" style=\"verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"100\" x=\"902.5\" y=\"695\" as=\"geometry\"/></mxCell><mxCell id=\"18\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=left;pointerEvents=1;labelPosition=right;verticalLabelPosition=middle;verticalAlign=middle;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"10\" x=\"890\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"19\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"17.5\" x=\"960\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"20\" parent=\"2\" style=\"html=1;strokeWidth=2;shape=manualInput;whiteSpace=wrap;rounded=1;size=13;arcSize=11;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"&lt;div&gt;Human Manual Input&lt;/div&gt;&lt;div&gt;[Data Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"21\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;Predefine&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Recycle Node /&amp;nbsp;&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Function&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;Reusable other cast's nodes defined in advance&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"22\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Process Node / Feature Function&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;Core function/feature nodes in the graph.&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"23\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Database /&lt;/b&gt;&lt;/span&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;Storage&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;MySQL, MongoDB, S3, etc. for storing or retrieving data from external databases&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"24\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Conditional Edge&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Decision point when internal events or triggers occur - Router, Branch out, IF Function, etc.&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"25\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Input / Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Data input to or output from a function/process&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"26\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 150%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Final Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;Result data returned to the outermost Cast.&lt;/div&gt;&lt;div&gt;(LangGraph State Output Schema)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"27\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Memory or Default / Initial Value&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Memory, graph initial/default values or temporary data storage&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"211\" x=\"189\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"28\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Human Manual Input&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Data input that can only be entered manually by humans&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"29\" parent=\"2\" style=\"text;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Parrallel Edge / Flow\" vertex=\"1\"><mxGeometry height=\"30\" width=\"130\" x=\"887.5\" y=\"735\" as=\"geometry\"/></mxCell><mxCell id=\"30\" connectable=\"0\" parent=\"2\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&amp;nbsp;Auxiliary\" vertex=\"1\"><mxGeometry x=\"1002.5\" y=\"590\" as=\"geometry\"><mxPoint y=\"-1\" as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"31\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Group\" vertex=\"1\"><mxGeometry height=\"30\" width=\"60\" x=\"880\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"32\" parent=\"2\" style=\"shape=sumEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"975\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"33\" parent=\"2\" style=\"shape=orEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"890\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"34\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"&lt;div&gt;Junction&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"960\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"35\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Disjunction\" vertex=\"1\"><mxGeometry height=\"30\" width=\"80\" x=\"870\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"36\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Entity\" vertex=\"1\"><mxGeometry height=\"30\" width=\"50\" x=\"965\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Internal Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Connection point to other Casts within the same Act&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"38\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;External Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Connection point to Casts of other Acts outside the current Act&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"39\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Edge / Flow Guide&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;The normal flow goes right; reverse flow goes left. Any other paths are auxiliary flows. Line must not overlap or be hidden.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"40\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Parrallel&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Edge / Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Parallel execution flow (MCP, A2A, Parallelization, etc. using concurrent/parallel processing)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"41\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Annotation&lt;/b&gt;&lt;/div&gt;&lt;div&gt;For multi-item notes, use the left marker.&lt;/div&gt;&lt;div&gt;For single-item notes, use the right marker.&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"235\" x=\"1045\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"42\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;OR,&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;OR:&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Use when multiple processes need to be displayed on one flow.&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Use&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;when displaying processes across multiple flow.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"110\" width=\"245\" x=\"1035\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"43\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;※ Act: Product /&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Project / Repository / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;※ Cast:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Graph / Workflow / Pipeline / Package / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"320\" x=\"20\" y=\"10\" 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vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"730\" as=\"geometry\"/></mxCell><mxCell id=\"47\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;Can use other color&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"870\" as=\"geometry\"/></mxCell><mxCell id=\"48\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Physical Group / Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;Actual code physical/directory groups defined in the Cast&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;(e.g., Casts, MCP Servers, A2A Servers, etc.)&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"49\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Logical Group / Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;Development, construction, function-specific code groups (e.g., group by functions, layer by middleware, layer by node, etc.)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry 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style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;]&lt;/span&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"52\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;b&gt;Act&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Cast management area&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"53\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=hexagon;perimeter=hexagonPerimeter2;arcSize=6;size=0.0625;fillColor=#fad7ac;strokeColor=#b46504;labelPosition=center;align=center;strokeWidth=2;whiteSpace=wrap;\" value=\"Memory or&lt;div&gt;Default / Initial Value&lt;div&gt;[Memory/Value&amp;nbsp;Name]&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"54\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=center;labelPosition=center;pointerEvents=1;direction=south;verticalLabelPosition=bottom;verticalAlign=top;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"20\" width=\"60\" x=\"960\" y=\"860\" as=\"geometry\"/></mxCell><mxCell id=\"55\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=center;pointerEvents=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;direction=south;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"10\" width=\"60\" x=\"880\" y=\"870\" as=\"geometry\"/></mxCell><mxCell id=\"56\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#d5e8d4;strokeColor=#82b366;fillStyle=auto;\" value=\"Final Output Data&lt;div&gt;[Data Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"57\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;b&gt;Made by Proact0&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"110\" x=\"1180\" y=\"910\" as=\"geometry\"/></mxCell><mxCell id=\"58\" parent=\"2\" style=\"swimlane;whiteSpace=wrap;html=1;fontStyle=4;strokeWidth=2;\" value=\"&lt;div style=&quot;text-align: left;&quot;&gt;&lt;b&gt;Act&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"59\" edge=\"1\" parent=\"58\" source=\"60\" style=\"edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;\" target=\"61\"><mxGeometry relative=\"1\" as=\"geometry\"/></mxCell><mxCell id=\"60\" parent=\"58\" style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;\" value=\"Node\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"20\" y=\"40\" as=\"geometry\"/></mxCell><mxCell id=\"61\" parent=\"58\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"Data\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"100\" y=\"40\" as=\"geometry\"/></mxCell></root></mxGraphModel>", + "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" parent=\"1\" style=\"swimlane;whiteSpace=wrap;html=1;fillColor=light-dark(#131720,#131720);strokeColor=light-dark(#DAE3EF,#DAE3EF);fontColor=light-dark(#DAE3EF,#DAE3EF);fontSize=40;startSize=60;\" value=\"&lt;font style=&quot;font-size: 36px;&quot;&gt;Main Symbol Components&lt;/font&gt;\" vertex=\"1\"><mxGeometry height=\"940\" width=\"1290\" as=\"geometry\"><mxRectangle height=\"50\" width=\"480\" x=\"-240\" y=\"-50\" as=\"alternateBounds\"/></mxGeometry></mxCell><mxCell id=\"3\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 130%;&quot;&gt;&lt;b&gt;Regardless of the development stage, it is recommended to continuously update the workflow integrity and consistency.&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;line-height: 130%;&quot;&gt;&lt;b&gt;This symbol structure is based on Act Template basic components, so please add/modify as needed to fit your organization's situation and environment.&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"886.25\" x=\"200\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"4\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"1010\" y=\"560\" as=\"sourcePoint\"/><mxPoint x=\"1010\" y=\"620\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"5\" parent=\"2\" style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;\" value=\"Process Node / Function&lt;div&gt;[Node/Function Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"6\" parent=\"2\" style=\"shape=cylinder3;whiteSpace=wrap;html=1;boundedLbl=1;backgroundOutline=1;size=15;strokeWidth=2;fillColor=#b0e3e6;strokeColor=#0e8088;\" value=\"Database / Storage&lt;div&gt;[Store Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"7\" parent=\"2\" style=\"rhombus;whiteSpace=wrap;html=1;strokeWidth=2;fillColor=#d0cee2;strokeColor=#56517e;\" value=\"Conditional Edge&lt;div&gt;[Branch Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"8\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"Node / Function&lt;div&gt;Input / Output Data&lt;/div&gt;&lt;div&gt;[Data Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"9\" parent=\"2\" style=\"shape=process;whiteSpace=wrap;html=1;backgroundOutline=1;strokeWidth=2;rounded=1;glass=0;shadow=0;\" value=\"Predefine Recycle Node / Function&lt;div&gt;[Node/Function Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"10\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=offPageConnector;rounded=0;size=0.1;strokeWidth=2;fillColor=#f8cecc;strokeColor=#b85450;labelPosition=center;align=center;whiteSpace=wrap;\" value=\"&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;External Cast Connector&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;[Connected&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Act-Cast Name]&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"11\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=mxgraph.flowchart.on-page_reference;strokeWidth=2;labelPosition=center;align=center;fillColor=#f8cecc;strokeColor=#b85450;shadow=0;whiteSpace=wrap;\" value=\"Internal Cast Connector&lt;div&gt;[Connected Cast Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"12\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"882.5\" y=\"570\" as=\"sourcePoint\"/><mxPoint x=\"972.5\" y=\"570\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"13\" connectable=\"0\" parent=\"12\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&amp;nbsp;Normal&amp;nbsp;\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"14\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"972.5\" y=\"610\" as=\"sourcePoint\"/><mxPoint x=\"882.5\" y=\"610\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"15\" connectable=\"0\" parent=\"14\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&amp;nbsp;Reverse&amp;nbsp;\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"16\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"992\" y=\"620\" as=\"sourcePoint\"/><mxPoint x=\"992\" y=\"560\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"17\" parent=\"2\" style=\"verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"100\" x=\"902.5\" y=\"695\" as=\"geometry\"/></mxCell><mxCell id=\"18\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=left;pointerEvents=1;labelPosition=right;verticalLabelPosition=middle;verticalAlign=middle;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"10\" x=\"890\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"19\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"17.5\" x=\"960\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"20\" parent=\"2\" style=\"html=1;strokeWidth=2;shape=manualInput;whiteSpace=wrap;rounded=1;size=13;arcSize=11;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"&lt;div&gt;Human Manual Input&lt;/div&gt;&lt;div&gt;[Data Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"21\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;Predefine&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Recycle Node /&amp;nbsp;&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Function&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;Reusable other cast's nodes defined in advance&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"22\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Process Node / Feature Function&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;Core function/feature nodes in the graph.&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"23\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; 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background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Human Manual Input&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;Data input that can only be entered manually by humans&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"29\" parent=\"2\" style=\"text;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Parrallel Edge / Flow\" vertex=\"1\"><mxGeometry height=\"30\" width=\"130\" x=\"887.5\" y=\"735\" as=\"geometry\"/></mxCell><mxCell id=\"30\" connectable=\"0\" parent=\"2\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" 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style=\"shape=orEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"890\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"34\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"&lt;div&gt;Junction&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"960\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"35\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Disjunction\" vertex=\"1\"><mxGeometry height=\"30\" width=\"80\" x=\"870\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"36\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"Entity\" vertex=\"1\"><mxGeometry height=\"30\" width=\"50\" x=\"965\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Internal Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Connection point to other Casts within the same Act&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"38\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;External Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Connection point to Casts of other Acts outside the current Act&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"39\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Edge / Flow Guide&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;The normal flow goes right; reverse flow goes left. Any other paths are auxiliary flows. Line must not overlap or be hidden.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"40\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Parrallel&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Edge / Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Parallel execution flow (MCP, A2A, Parallelization, etc. using concurrent/parallel processing)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"41\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Annotation&lt;/b&gt;&lt;/div&gt;&lt;div&gt;For multi-item notes, use the left marker.&lt;/div&gt;&lt;div&gt;For single-item notes, use the right marker.&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"235\" x=\"1045\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"42\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;OR,&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;OR:&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Use when multiple processes need to be displayed on one flow.&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Use&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;when displaying processes across multiple flow.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"110\" width=\"245\" x=\"1035\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"43\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;※ Act: Product /&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(255, 255, 255), rgb(255, 255, 255));&quot;&gt;Project / Repository / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(255, 255, 255), rgb(255, 255, 255));&quot;&gt;※ Cast:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(255, 255, 255), rgb(255, 255, 255));&quot;&gt;Graph / Workflow / Pipeline / Package / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"320\" x=\"20\" y=\"10\" as=\"geometry\"/></mxCell><mxCell id=\"44\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;Logical Group / Zone&lt;/div&gt;&lt;div style=&quot;&quot;&gt;[Group/Zone Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"45\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"&lt;div&gt;Physical Group / Zone&lt;/div&gt;&lt;div&gt;[Group/Zone Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"46\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"Can use other color\" vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"730\" as=\"geometry\"/></mxCell><mxCell id=\"47\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;Can use other color&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"870\" as=\"geometry\"/></mxCell><mxCell id=\"48\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Physical Group / Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;Actual code physical/directory groups defined in the Cast&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;(e.g., Casts, MCP Servers, A2A Servers, etc.)&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"49\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Logical Group / Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;Development, construction, function-specific code groups (e.g., group by functions, layer by middleware, layer by node, etc.)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry 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style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;]&lt;/span&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"52\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;b&gt;Act&lt;/b&gt;&lt;/div&gt;&lt;div&gt;Cast management area&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"53\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=hexagon;perimeter=hexagonPerimeter2;arcSize=6;size=0.0625;fillColor=#fad7ac;strokeColor=#b46504;labelPosition=center;align=center;strokeWidth=2;whiteSpace=wrap;\" value=\"Memory or&lt;div&gt;Default / Initial Value&lt;div&gt;[Memory/Value&amp;nbsp;Name]&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"54\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=center;labelPosition=center;pointerEvents=1;direction=south;verticalLabelPosition=bottom;verticalAlign=top;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"20\" width=\"60\" x=\"960\" y=\"860\" as=\"geometry\"/></mxCell><mxCell id=\"55\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=center;pointerEvents=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;direction=south;\" value=\"[note]\" vertex=\"1\"><mxGeometry height=\"10\" width=\"60\" x=\"880\" y=\"870\" as=\"geometry\"/></mxCell><mxCell id=\"56\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#d5e8d4;strokeColor=#82b366;fillStyle=auto;\" value=\"Final Output Data&lt;div&gt;[Data Name]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"57\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;b&gt;Made by Proact0&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"110\" x=\"1180\" y=\"910\" as=\"geometry\"/></mxCell><mxCell id=\"58\" parent=\"2\" style=\"swimlane;whiteSpace=wrap;html=1;fontStyle=4;strokeWidth=2;\" value=\"&lt;div style=&quot;text-align: left;&quot;&gt;&lt;b&gt;Act&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"59\" edge=\"1\" parent=\"58\" source=\"60\" style=\"edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;\" target=\"61\"><mxGeometry relative=\"1\" as=\"geometry\"/></mxCell><mxCell id=\"60\" parent=\"58\" style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;\" value=\"Node\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"20\" y=\"40\" as=\"geometry\"/></mxCell><mxCell id=\"61\" parent=\"58\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"Data\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"100\" y=\"40\" as=\"geometry\"/></mxCell></root></mxGraphModel>", "w": 1290, "h": 940.0000000000001, "aspect": "fixed", diff --git a/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_kr.xml b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_kr.xml index 496854f..48ccfc6 100644 --- a/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_kr.xml +++ b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/drawkit_kr.xml @@ -1,6 +1,6 @@ [ { - "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" parent=\"1\" style=\"swimlane;whiteSpace=wrap;html=1;fillColor=light-dark(#131720,#131720);strokeColor=light-dark(#DAE3EF,#DAE3EF);fontColor=light-dark(#DAE3EF,#DAE3EF);fontSize=40;startSize=60;\" value=\"&lt;font style=&quot;font-size: 36px;&quot;&gt;주요 기호 구성표&lt;/font&gt;\" vertex=\"1\"><mxGeometry height=\"940\" width=\"1290\" as=\"geometry\"><mxRectangle height=\"50\" width=\"300\" x=\"1090\" y=\"-50\" as=\"alternateBounds\"/></mxGeometry></mxCell><mxCell id=\"3\" parent=\"2\" 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style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;프로세스&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;노드 /&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;text-align: left;&quot;&gt;기능&lt;/span&gt;&lt;/div&gt;&lt;div&gt;[노드/기능 이름]&lt;span style=&quot;text-align: left;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"10\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=offPageConnector;rounded=0;size=0.1;strokeWidth=2;fillColor=#f8cecc;strokeColor=#b85450;labelPosition=center;align=center;whiteSpace=wrap;\" value=\"&lt;div&gt;외부&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast 연결자&lt;/span&gt;&lt;/div&gt;&lt;div&gt;[연결되는 Act-Cast 이름]&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"11\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=mxgraph.flowchart.on-page_reference;strokeWidth=2;labelPosition=center;align=center;fillColor=#f8cecc;strokeColor=#b85450;shadow=0;whiteSpace=wrap;\" value=\"내부&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast 연결자&lt;/span&gt;&lt;div&gt;[연결되는 Cast 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"12\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" 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style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"역방향 흐름\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"16\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"992\" y=\"620\" as=\"sourcePoint\"/><mxPoint x=\"992\" y=\"560\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"17\" parent=\"2\" style=\"verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"100\" x=\"902.5\" y=\"695\" as=\"geometry\"/></mxCell><mxCell id=\"18\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=left;pointerEvents=1;labelPosition=right;verticalLabelPosition=middle;verticalAlign=middle;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"20\" x=\"890\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"19\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"17.5\" x=\"970\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"20\" parent=\"2\" style=\"html=1;strokeWidth=2;shape=manualInput;whiteSpace=wrap;rounded=1;size=13;arcSize=11;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"인간 수동 입력 데이터&lt;div&gt;[데이터 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"21\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;Predefine&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Recycle Node /&amp;nbsp;&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Function&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;기존에 현/다른 Cast/Act에서 이미 정의된 노드/함수&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"22\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Process Node / Feature Function&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;최소 작업/&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;기능&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;단위의 노드/&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;함수&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"23\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Database /&lt;/b&gt;&lt;/span&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;Storage&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;MySQL, MongoDB, S3 등과 같은&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;보관 매체에 데이터가 저장되는 공간&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"24\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Conditional Edge&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;내부 이벤트 또는 트리거 발생 시&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;결정 경로 - Router, Branch out, IF Function 등&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"25\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Input / Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;text-align: center;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: left;&quot;&gt;노드 또는 기능 함수에 입력되거나&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;출력이 되는 상태 데이터&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"26\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 150%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Final Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Cast를 거치고 최종적으로 나온 &lt;br&gt;출력 상태 데이터&lt;br&gt;(LangGraph&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;State&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Output Schema)&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"27\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Memory or Default / Initial Value&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Memory 또는 값이 고정되어 있거나 외부 데이터가 결합된 기본/초기 설정값&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"211\" x=\"189\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"28\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Human Manual Input&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;인간 조작이 필요한 수동 입력 데이터&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"29\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"병렬 흐름\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"917.5\" y=\"735\" as=\"geometry\"/></mxCell><mxCell id=\"30\" connectable=\"0\" parent=\"2\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&lt;span&gt;부속 흐름&lt;/span&gt;\" vertex=\"1\"><mxGeometry x=\"1002.5\" y=\"590\" as=\"geometry\"><mxPoint y=\"-1\" as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"31\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"그룹 주석\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"880\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"32\" parent=\"2\" style=\"shape=sumEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"975\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"33\" parent=\"2\" style=\"shape=orEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"890\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"34\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"접합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"80\" x=\"955\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"35\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"논리합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"90\" x=\"865\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"36\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"개체 주석\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"957.5\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Internal Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Act '내부'에 있는 다른 Cast와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"38\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;External Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당&lt;/span&gt;&amp;nbsp;Act '외부'에 있는 다른 Act의 Cast&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"39\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Edge / Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 플로우차트의 정방향은 '우향',&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;역방향은 '좌향'이며 그 외는 부속 흐름으로&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;간주하여 표시,&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;선이 겹치거나 가려져선 안 됨.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"40\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Parrallel&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Edge / Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;노드/기능이 병렬적으로 수행됨을 표시 (MCP, A2A, Pallelization과 같은 그룹과 연결되는 흐름에 사용)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"41\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Annotation&lt;/b&gt;&lt;/div&gt;&lt;div&gt;여러 정보를 부가 설명할 때는 '왼쪽&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;단일 정보를 부가 설명할 때는 '오른쪽&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호를 사용하여 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"235\" x=\"1045\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"42\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;OR,&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;OR:&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;여러 분기가 하나의 프로세스로 다시 모일 때 분기 중 최소 하나 이상 모이는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM: 여러 분기가 하나의 프로세스로&amp;nbsp;&lt;/span&gt;다시 모일 때 전부&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;합쳐지는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"110\" width=\"245\" x=\"1035\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"43\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;※ Act: Product /&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Project / Repository / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;※ Cast:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Graph / Workflow&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;/ Pipeline&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;/ Package / etc.&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"320\" x=\"20\" y=\"10\" as=\"geometry\"/></mxCell><mxCell id=\"44\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent;&quot;&gt;논리적 그룹 / 영역&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;[그룹 이름]&lt;span style=&quot;background-color: transparent;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"45\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"&lt;font style=&quot;&quot;&gt;물리적 그룹 / 영역&lt;/font&gt;&lt;div&gt;[그룹 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"46\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"다른 색깔 사용 가능\" vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"730\" as=\"geometry\"/></mxCell><mxCell id=\"47\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;다른 색깔 사용 가능&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"870\" as=\"geometry\"/></mxCell><mxCell id=\"48\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Physical Group / Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;실제 코드상 파일/디렉토리 등 물리적&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;단위로&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;그룹핑이 가능한 영역&lt;/span&gt;&lt;/div&gt;&lt;div&gt;(예: Cast, MCP Server, A2A Server 등)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"49\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Logical Group / Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;개념적, 추상적, 기능적 측면에서의 그룹핑이 가능한 영역 &lt;br&gt;(예: 동일 기능 인터페이스, 아이디어 노트, 계층 구조 등)&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"220\" x=\"619\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"50\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;div style=&quot;&quot;&gt;&lt;b&gt;Start / End&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;Main-Graph 최초&amp;nbsp;시작/최종 종료 부분&lt;div&gt;Sub-Graph인 경우 연결자로 표시&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"51\" parent=\"2\" 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0), rgb(255, 255, 255));&quot;&gt;영역&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"53\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=hexagon;perimeter=hexagonPerimeter2;arcSize=6;size=0.0625;fillColor=#fad7ac;strokeColor=#b46504;labelPosition=center;align=center;strokeWidth=2;whiteSpace=wrap;\" value=\"Memory 또는&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;초기 / 기본&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;설정값&lt;/span&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;[저장소/값 이름]&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"54\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=center;labelPosition=center;pointerEvents=1;direction=south;verticalLabelPosition=bottom;verticalAlign=top;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"20\" width=\"60\" x=\"967.5\" y=\"860\" as=\"geometry\"/></mxCell><mxCell id=\"55\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=center;pointerEvents=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;direction=south;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"10\" width=\"60\" x=\"885\" y=\"870\" as=\"geometry\"/></mxCell><mxCell id=\"56\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#d5e8d4;strokeColor=#82b366;fillStyle=auto;\" value=\"최종 산출 데이터&lt;div&gt;[데이터 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"57\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;b&gt;Made by Proact0&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"110\" x=\"1180\" y=\"910\" as=\"geometry\"/></mxCell><mxCell id=\"58\" parent=\"2\" style=\"swimlane;whiteSpace=wrap;html=1;fontStyle=4;strokeWidth=2;\" value=\"&lt;div style=&quot;text-align: left;&quot;&gt;&lt;b&gt;Act&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"59\" edge=\"1\" parent=\"58\" source=\"60\" style=\"edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;\" target=\"61\"><mxGeometry relative=\"1\" as=\"geometry\"/></mxCell><mxCell id=\"60\" parent=\"58\" style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;\" value=\"Node\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"20\" y=\"40\" as=\"geometry\"/></mxCell><mxCell id=\"61\" parent=\"58\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"Data\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"100\" y=\"40\" as=\"geometry\"/></mxCell></root></mxGraphModel>", + "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" parent=\"1\" style=\"swimlane;whiteSpace=wrap;html=1;fillColor=light-dark(#131720,#131720);strokeColor=light-dark(#DAE3EF,#DAE3EF);fontColor=light-dark(#DAE3EF,#DAE3EF);fontSize=40;startSize=60;\" value=\"&lt;font style=&quot;font-size: 36px;&quot;&gt;주요 기호 구성표&lt;/font&gt;\" vertex=\"1\"><mxGeometry height=\"940\" width=\"1290\" as=\"geometry\"><mxRectangle height=\"50\" width=\"300\" x=\"1090\" y=\"-50\" as=\"alternateBounds\"/></mxGeometry></mxCell><mxCell id=\"3\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 130%;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;&lt;font style=&quot;font-size: 14px; line-height: 130%;&quot;&gt;흐름도는 진행 단계와 무관하게 워크플로우와 일치되도록 상시 업데이트를 권장합니다.&lt;/font&gt;&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;font-size: 14px; line-height: 130%;&quot;&gt;&lt;b&gt;이 기호 구성표는 Act Template 기반 기본 구성이므로, 필요 시 조직 상황과 환경에 맞게 추가/변형하여 사용하시기 바랍니다.&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"742.5\" x=\"273.75\" y=\"70\" as=\"geometry\"/></mxCell><mxCell id=\"4\" 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style=\"rhombus;whiteSpace=wrap;html=1;strokeWidth=2;fillColor=#d0cee2;strokeColor=#56517e;\" value=\"조건부 판단 엣지&lt;div&gt;[함수 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"8\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"노드 / 기능&lt;div&gt;입/출력 데이터&lt;/div&gt;&lt;div&gt;[&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;데이터 이름]&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"9\" parent=\"2\" style=\"shape=process;whiteSpace=wrap;html=1;backgroundOutline=1;strokeWidth=2;rounded=1;glass=0;shadow=0;\" value=\"&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;이미&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;정의된&lt;br&gt;&lt;/span&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;프로세스&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;노드 /&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;text-align: left;&quot;&gt;기능&lt;/span&gt;&lt;/div&gt;&lt;div&gt;[노드/기능 이름]&lt;span style=&quot;text-align: left;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"10\" parent=\"2\" 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light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast 연결자&lt;/span&gt;&lt;div&gt;[연결되는 Cast 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"870\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"12\" edge=\"1\" parent=\"2\" style=\"endArrow=classic;html=1;rounded=0;\" value=\"\"><mxGeometry height=\"50\" relative=\"1\" width=\"50\" as=\"geometry\"><mxPoint x=\"882.5\" y=\"570\" as=\"sourcePoint\"/><mxPoint x=\"972.5\" y=\"570\" as=\"targetPoint\"/></mxGeometry></mxCell><mxCell id=\"13\" connectable=\"0\" parent=\"12\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&lt;span&gt;정방향 흐름&lt;/span&gt;\" vertex=\"1\"><mxGeometry relative=\"1\" as=\"geometry\"><mxPoint as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"14\" edge=\"1\" parent=\"2\" 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style=\"verticalLabelPosition=bottom;verticalAlign=top;html=1;shape=mxgraph.flowchart.parallel_mode;pointerEvents=1;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"100\" x=\"902.5\" y=\"695\" as=\"geometry\"/></mxCell><mxCell id=\"18\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=left;pointerEvents=1;labelPosition=right;verticalLabelPosition=middle;verticalAlign=middle;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"20\" x=\"890\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"19\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=left;labelPosition=right;pointerEvents=1;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"40\" width=\"17.5\" x=\"970\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"20\" parent=\"2\" style=\"html=1;strokeWidth=2;shape=manualInput;whiteSpace=wrap;rounded=1;size=13;arcSize=11;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"인간 수동 입력 데이터&lt;div&gt;[데이터 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"21\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;b&gt;Predefine&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Recycle Node /&amp;nbsp;&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Function&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;기존에 현/다른 Cast/Act에서 이미 정의된 노드/함수&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"22\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Process Node / Feature Function&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;최소 작업/&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;기능&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;단위의 노드/&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;함수&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"23\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Database /&lt;/b&gt;&lt;/span&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: center;&quot;&gt;Storage&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;MySQL, MongoDB, S3 등과 같은&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;보관 매체에 데이터가 저장되는 공간&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"24\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Conditional Edge&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;내부 이벤트 또는 트리거 발생 시&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;결정 경로 - Router, Branch out, IF Function 등&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"25\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Input / Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;text-align: center;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255)); text-align: left;&quot;&gt;노드 또는 기능 함수에 입력되거나&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;출력이 되는 상태 데이터&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"26\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 150%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Final Output Data&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Cast를 거치고 최종적으로 나온 &lt;br&gt;출력 상태 데이터&lt;br&gt;(LangGraph&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;State&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Output Schema)&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"27\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Memory or Default / Initial Value&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Memory 또는 값이 고정되어 있거나 외부 데이터가 결합된 기본/초기 설정값&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"211\" x=\"189\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"28\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;text-align: center; background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Human Manual Input&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;인간 조작이 필요한 수동 입력 데이터&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"29\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"병렬 흐름\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"917.5\" y=\"735\" as=\"geometry\"/></mxCell><mxCell id=\"30\" connectable=\"0\" parent=\"2\" style=\"edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];sketch=1;jiggle=2;curveFitting=1;pointerEvents=1;strokeColor=default;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;labelBorderColor=default;\" value=\"&lt;span&gt;부속 흐름&lt;/span&gt;\" vertex=\"1\"><mxGeometry x=\"1002.5\" y=\"590\" as=\"geometry\"><mxPoint y=\"-1\" as=\"offset\"/></mxGeometry></mxCell><mxCell id=\"31\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"그룹 주석\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"880\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"32\" parent=\"2\" style=\"shape=sumEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"975\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"33\" parent=\"2\" style=\"shape=orEllipse;perimeter=ellipsePerimeter;whiteSpace=wrap;html=1;backgroundOutline=1;pointerEvents=1;strokeColor=default;align=center;verticalAlign=top;fontFamily=Helvetica;fontSize=12;fontColor=default;fillColor=default;strokeWidth=2;\" value=\"\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"890\" y=\"420\" as=\"geometry\"/></mxCell><mxCell id=\"34\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"접합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"80\" x=\"955\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"35\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"논리합 연결자\" vertex=\"1\"><mxGeometry height=\"30\" width=\"90\" x=\"865\" y=\"470\" as=\"geometry\"/></mxCell><mxCell id=\"36\" parent=\"2\" style=\"text;html=1;align=center;verticalAlign=middle;resizable=0;points=[];autosize=1;strokeColor=none;fillColor=none;fontFamily=Helvetica;fontSize=12;fontColor=default;\" value=\"개체 주석\" vertex=\"1\"><mxGeometry height=\"30\" width=\"70\" x=\"957.5\" y=\"900\" as=\"geometry\"/></mxCell><mxCell id=\"37\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Internal Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 Act '내부'에 있는 다른 Cast와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"38\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;External Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당&lt;/span&gt;&amp;nbsp;Act '외부'에 있는 다른 Act의 Cast&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;와 연결되는 부분&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"39\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Edge / Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;해당 플로우차트의 정방향은 '우향',&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;역방향은 '좌향'이며 그 외는 부속 흐름으로&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;간주하여 표시,&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;선이 겹치거나 가려져선 안 됨.&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"40\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Parrallel&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Edge / Flow&lt;/b&gt;&lt;/div&gt;&lt;div&gt;노드/기능이 병렬적으로 수행됨을 표시 (MCP, A2A, Pallelization과 같은 그룹과 연결되는 흐름에 사용)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"240\" x=\"1040\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"41\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;Annotation&lt;/b&gt;&lt;/div&gt;&lt;div&gt;여러 정보를 부가 설명할 때는 '왼쪽&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;단일 정보를 부가 설명할 때는 '오른쪽&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;'&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;기호를 사용하여 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"235\" x=\"1045\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"42\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;OR,&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM Connector&lt;/b&gt;&lt;/div&gt;&lt;div&gt;OR:&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;여러 분기가 하나의 프로세스로 다시 모일 때 분기 중 최소 하나 이상 모이는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;SUM: 여러 분기가 하나의 프로세스로&amp;nbsp;&lt;/span&gt;다시 모일 때 전부&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&amp;nbsp;합쳐지는 지점을 표시&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"110\" width=\"245\" x=\"1035\" y=\"400\" as=\"geometry\"/></mxCell><mxCell id=\"43\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;fontColor=light-dark(#FFFFFF,#FFFFFF);\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;b&gt;&lt;font style=&quot;color: light-dark(rgb(255, 255, 255), rgb(255, 255, 255));&quot;&gt;※ Act: Product /&amp;nbsp;&lt;span style=&quot;background-color: transparent;&quot;&gt;Project / Repository / etc.&lt;/span&gt;&lt;/font&gt;&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;font style=&quot;color: light-dark(rgb(255, 255, 255), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;&lt;span style=&quot;background-color: transparent;&quot;&gt;※ Cast:&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent;&quot;&gt;Graph / Workflow&lt;/span&gt;&lt;/b&gt;&lt;b style=&quot;background-color: transparent;&quot;&gt;&amp;nbsp;/ Pipeline&lt;/b&gt;&lt;b style=&quot;background-color: transparent;&quot;&gt;&lt;span style=&quot;background-color: transparent;&quot;&gt;&amp;nbsp;/ Package / etc.&lt;/span&gt;&lt;/b&gt;&lt;/font&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"40\" width=\"320\" x=\"20\" y=\"10\" as=\"geometry\"/></mxCell><mxCell id=\"44\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: transparent;&quot;&gt;논리적 그룹 / 영역&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;[그룹 이름]&lt;span style=&quot;background-color: transparent;&quot;&gt;&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"45\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"&lt;font style=&quot;&quot;&gt;물리적 그룹 / 영역&lt;/font&gt;&lt;div&gt;[그룹 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"46\" parent=\"2\" style=\"fillColor=none;strokeColor=#DD3522;verticalAlign=top;fontStyle=0;fontColor=#DD3522;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"다른 색깔 사용 가능\" vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"730\" as=\"geometry\"/></mxCell><mxCell id=\"47\" parent=\"2\" style=\"fillColor=none;strokeColor=#0066CC;dashed=1;verticalAlign=top;fontStyle=0;fontColor=#0066CC;whiteSpace=wrap;html=1;align=center;strokeWidth=2;\" value=\"&lt;div style=&quot;&quot;&gt;다른 색깔 사용 가능&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"120\" x=\"470\" y=\"870\" as=\"geometry\"/></mxCell><mxCell id=\"48\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Physical Group / Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;실제 코드상 파일/디렉토리 등 물리적&amp;nbsp;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;단위로&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;그룹핑이 가능한 영역&lt;/span&gt;&lt;/div&gt;&lt;div&gt;(예: Cast, MCP Server, A2A Server 등)&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"221\" x=\"619\" y=\"680\" as=\"geometry\"/></mxCell><mxCell id=\"49\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;line-height: 140%;&quot;&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;&lt;b&gt;Logical Group / Zone&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;개념적, 추상적, 기능적 측면에서의 그룹핑이 가능한 영역 &lt;br&gt;(예: 동일 기능 인터페이스, 아이디어 노트, 계층 구조 등)&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"220\" x=\"619\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"50\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;div style=&quot;&quot;&gt;&lt;b&gt;Start / End&lt;/b&gt;&lt;/div&gt;&lt;/div&gt;Main-Graph 최초&amp;nbsp;시작/최종 종료 부분&lt;div&gt;Sub-Graph인 경우 연결자로 표시&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"51\" parent=\"2\" style=\"ellipse;whiteSpace=wrap;html=1;strokeWidth=2;\" value=\"&lt;div&gt;최초 시작 / 최종 종료&lt;/div&gt;[Start/&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;End&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;]&lt;/span&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"120\" as=\"geometry\"/></mxCell><mxCell id=\"52\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div&gt;&lt;b&gt;Act&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;Cast들을 관리하는&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;영역&lt;/span&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"210\" x=\"190\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"53\" parent=\"2\" style=\"verticalLabelPosition=middle;verticalAlign=middle;html=1;shape=hexagon;perimeter=hexagonPerimeter2;arcSize=6;size=0.0625;fillColor=#fad7ac;strokeColor=#b46504;labelPosition=center;align=center;strokeWidth=2;whiteSpace=wrap;\" value=\"Memory 또는&lt;div&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;초기 / 기본&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;background-color: transparent; color: light-dark(rgb(0, 0, 0), rgb(255, 255, 255));&quot;&gt;설정값&lt;/span&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;[저장소/값 이름]&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"820\" as=\"geometry\"/></mxCell><mxCell id=\"54\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_2;align=center;labelPosition=center;pointerEvents=1;direction=south;verticalLabelPosition=bottom;verticalAlign=top;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"20\" width=\"60\" x=\"967.5\" y=\"860\" as=\"geometry\"/></mxCell><mxCell id=\"55\" parent=\"2\" style=\"strokeWidth=2;html=1;shape=mxgraph.flowchart.annotation_1;align=center;pointerEvents=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;direction=south;\" value=\"[설명]\" vertex=\"1\"><mxGeometry height=\"10\" width=\"60\" x=\"885\" y=\"870\" as=\"geometry\"/></mxCell><mxCell id=\"56\" parent=\"2\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#d5e8d4;strokeColor=#82b366;fillStyle=auto;\" value=\"최종 산출 데이터&lt;div&gt;[데이터 이름]&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"450\" y=\"540\" as=\"geometry\"/></mxCell><mxCell id=\"57\" parent=\"2\" style=\"text;strokeColor=none;fillColor=none;align=left;verticalAlign=middle;spacingLeft=4;spacingRight=4;overflow=hidden;points=[[0,0.5],[1,0.5]];portConstraint=eastwest;rotatable=0;whiteSpace=wrap;html=1;\" value=\"&lt;div style=&quot;&quot;&gt;&lt;b&gt;Made by Proact0&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"30\" width=\"110\" x=\"1180\" y=\"910\" as=\"geometry\"/></mxCell><mxCell id=\"58\" parent=\"2\" style=\"swimlane;whiteSpace=wrap;html=1;fontStyle=4;strokeWidth=2;\" value=\"&lt;div style=&quot;text-align: left;&quot;&gt;&lt;b&gt;Act&lt;/b&gt;&lt;/div&gt;\" vertex=\"1\"><mxGeometry height=\"100\" width=\"160\" x=\"20\" y=\"260\" as=\"geometry\"/></mxCell><mxCell id=\"59\" edge=\"1\" parent=\"58\" source=\"60\" style=\"edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;\" target=\"61\"><mxGeometry relative=\"1\" as=\"geometry\"/></mxCell><mxCell id=\"60\" parent=\"58\" style=\"rounded=1;whiteSpace=wrap;html=1;absoluteArcSize=1;arcSize=14;strokeWidth=2;align=center;\" value=\"Node\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"20\" y=\"40\" as=\"geometry\"/></mxCell><mxCell id=\"61\" parent=\"58\" style=\"shape=parallelogram;html=1;strokeWidth=2;perimeter=parallelogramPerimeter;whiteSpace=wrap;rounded=1;arcSize=12;size=0.046875;fillColor=#eeeeee;strokeColor=#36393d;\" value=\"Data\" vertex=\"1\"><mxGeometry height=\"40\" width=\"40\" x=\"100\" y=\"40\" as=\"geometry\"/></mxCell></root></mxGraphModel>", "w": 1290, "h": 940.0000000000001, "aspect": "fixed", From 2181f22ef2248d3308f439e330eec5b71c2ce6f3 Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Wed, 14 Jan 2026 14:56:15 +0900 Subject: [PATCH 09/12] feat: enhance README visuals with new English-themed images - Updated README to include new English-themed images for drawkit and sample flowcharts in both dark and light themes. - Added missing image files for improved visualization and localization support. --- .../.github/images/drawkit-en-dark-theme.png | Bin 0 -> 290318 bytes .../.github/images/drawkit-en-light-theme.png | Bin 0 -> 281637 bytes .../images/sample-flowchart-en-dark-theme.png | Bin 0 -> 245744 bytes .../images/sample-flowchart-en-light-theme.png | Bin 0 -> 245957 bytes .../TEMPLATE_README.md | 16 ++++++++-------- 5 files changed, 8 insertions(+), 8 deletions(-) create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/drawkit-en-dark-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/drawkit-en-light-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/sample-flowchart-en-dark-theme.png create mode 100644 act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/sample-flowchart-en-light-theme.png diff --git 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- - Drawkit Preview + + Drawkit Preview

@@ -234,8 +234,8 @@ The `drawkit.xml` file included in the root directory contains pre-defined shape

- - Sample Flowchart + + Sample Flowchart

@@ -541,8 +541,8 @@ Agent Skills는 AI 에이전트가 기능을 **발견(Discover)** 하고, 관련

- - Drawkit 미리보기 + + Drawkit 미리보기

@@ -558,8 +558,8 @@ Agent Skills는 AI 에이전트가 기능을 **발견(Discover)** 하고, 관련

- - 예시 플로우차트 + + 예시 플로우차트

From c52c97656857ede7b98b0f72212365d8f4293781 Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Wed, 14 Jan 2026 14:56:57 +0900 Subject: [PATCH 10/12] chore(version): bump version to 0.2.3 --- act_operator/act_operator/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/act_operator/act_operator/__init__.py b/act_operator/act_operator/__init__.py index b5fdc75..d31c31e 100644 --- a/act_operator/act_operator/__init__.py +++ b/act_operator/act_operator/__init__.py @@ -1 +1 @@ -__version__ = "0.2.2" +__version__ = "0.2.3" From 70ceaba2175801d1d45f6b2f76e0028b66d7f480 Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Wed, 14 Jan 2026 14:58:31 +0900 Subject: [PATCH 11/12] chore(version): downgrade version to 0.2.2 --- act_operator/act_operator/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/act_operator/act_operator/__init__.py b/act_operator/act_operator/__init__.py index d31c31e..b5fdc75 100644 --- a/act_operator/act_operator/__init__.py +++ b/act_operator/act_operator/__init__.py @@ -1 +1 @@ -__version__ = "0.2.3" +__version__ = "0.2.2" From 228d07e6080b79ad2e2724ed1038ad68b41e151e Mon Sep 17 00:00:00 2001 From: Joongheon Park Date: Wed, 14 Jan 2026 15:16:31 +0900 Subject: [PATCH 12/12] chore(version): update version to 0.2.3 and replace drawkit image --- act_operator/act_operator/__init__.py | 2 +- .../.github/images/drawkit-en-light-theme.png | Bin 281637 -> 281492 bytes 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/act_operator/act_operator/__init__.py b/act_operator/act_operator/__init__.py index b5fdc75..d31c31e 100644 --- a/act_operator/act_operator/__init__.py +++ b/act_operator/act_operator/__init__.py @@ -1 +1 @@ -__version__ = "0.2.2" +__version__ = "0.2.3" diff --git a/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug }}/.github/images/drawkit-en-light-theme.png b/act_operator/act_operator/scaffold/{{ cookiecutter.act_slug 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