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SDK samples: 70+ production-ready samples, docs, and tests (rebased on main)
Rebased onto latest main (e8a8033) which includes: - CLI with auth (PR #72) - layerlens.instrument tracing + adapters (PR #66, #69) - Scorers resource, integrations resource - API naming convention fixes (PR #61) No impact on samples: Stratix() constructor is backward-compatible, use_bearer_auth defaults to False, all existing API signatures unchanged. Samples include: core (18), industry (10), cowork (5), modalities (3), integrations (2), cicd (2+workflow), openclaw (10+skill), mcp (1), copilotkit (2+UI), claude-code skills (6), sample data (23 files). 469 non-live tests passing. 54 live tests available. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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‎.gitignore‎

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‎docs/SUMMARY.md‎

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* [Judges and Traces](examples/judges-and-traces.md)
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* [Public API](examples/public-api.md)
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## Samples & Tutorials
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* [Samples Overview](samples-guide.md)
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* [Core SDK Operations](samples-guide.md#core-sdk-operations-18-samples) -- Traces, judges, evaluations, results, models, benchmarks, async
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* [Industry Solutions](samples-guide.md#industry-solutions-10-samples) -- Healthcare, finance, legal, government, insurance, retail
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* [Multi-Agent Evaluation](samples-guide.md#multi-agent-evaluation-5-samples) -- Cowork and Agent Teams patterns
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* [Content-Type Evaluations](samples-guide.md#content-type-evaluations-3-samples) -- Text, brand, document
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* [CI/CD Integration](samples-guide.md#cicd-integration-2-samples--workflow) -- Quality gates, pre-commit hooks, GitHub Actions
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* [LLM Provider Integrations](samples-guide.md#llm-provider-integrations-2-samples) -- OpenAI, Anthropic
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* [OpenClaw Agent Evaluation](samples-guide.md#openclaw-agent-evaluation-10-demos--skill) -- Cage match, code gate, safety audit, red-team
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* [MCP Server](samples-guide.md#mcp-server-1-sample) -- LayerLens as tools for Claude and other MCP clients
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* [CopilotKit Integration](samples-guide.md#copilotkit-integration-2-agents--ui-components) -- LangGraph CoAgents, React components
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* [Claude Code Skills](samples-guide.md#claude-code-skills-6-skills) -- Slash commands for CLI and desktop
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## Troubleshooting
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* [Overview](troubleshooting/README.md)
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* [Common Issues](troubleshooting/common-issues.md)

‎docs/review/round-1.md‎

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# Review Round 1 -- Line-by-Line Code Review
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**Date**: 2026-03-28
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**Reviewers**: Principal Product Manager, Principal Platform Engineer, Principal Data Engineer
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**Scope**: All 74 Python files, 19 sample READMEs, 32 doc pages, 6 Claude Code skills
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---
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## Consolidated Scores
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| Area | Product Manager | Platform Engineer | Data Engineer |
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|------|:-:|:-:|:-:|
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| Core SDK samples (19 files) | 8/10 | 7/10 | 9/10 |
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| Industry + Cowork + Modalities + Integrations + CI/CD (22 files) | 9/10 | 8/10 | 10/10 |
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| OpenClaw + MCP + CopilotKit + Tests (17 files) | 9/10 | 7/10 | 8/10 |
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| Documentation (36 files) | 8/10 | 7/10 | 9/10 |
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| **COMPOSITE** | **8.5/10** | **7.25/10** | **9/10** |
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---
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## CRITICAL Issues (must fix)
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### C1: model_benchmark_management.py crashes on PublicModelsListResponse
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- **File**: `samples/core/model_benchmark_management.py`
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- **Lines**: 124, 125, 133, 134
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- **Impact**: `len(pub_models)` and `pub_models[:3]` raise `TypeError` because `client.public.models.get()` returns a `PublicModelsListResponse` Pydantic model, not a list. Same for `pub_benchmarks`.
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- **Fix**: Use `pub_models.models` and `pub_benchmarks.datasets` instead.
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### C2: Install command missing --index-url in all 11 sample READMEs
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- **Files**: All `samples/*/README.md` files
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- **Impact**: `pip install layerlens` fails because the package is not on public PyPI. The docs correctly use `--index-url https://sdk.layerlens.ai/package` but the sample READMEs do not.
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- **Fix**: Add `--index-url` to all sample README install commands, OR confirm that `layerlens` is now on public PyPI.
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---
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## HIGH Issues (should fix)
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### H1: test_samples_e2e.py JSON validation cannot fail
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- **File**: `tests/test_samples_e2e.py`
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- **Line**: 1127-1128
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- **Impact**: `except json.JSONDecodeError: pass` means the JSON output validation test passes even when demos produce invalid JSON.
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- **Fix**: Remove the bare except or assert inside it.
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### H2: openai_traced.py and anthropic_traced.py lack judge cleanup
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- **Files**: `samples/integrations/openai_traced.py`, `samples/integrations/anthropic_traced.py`
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- **Impact**: Judges created by _ensure_judges() are never deleted. Inconsistent with all other samples.
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- **Fix**: Add try/finally cleanup or document that judges are intentionally persistent.
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---
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## MEDIUM Issues (nice to fix)
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| ID | File | Line | Description |
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|----|------|------|-------------|
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| M1 | openclaw/trace_agent_execution.py | 123 | Unguarded `trace_result.trace_ids[0]` -- IndexError if empty |
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| M2 | openclaw/evaluate_skill_output.py | 208 | Same unguarded access |
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| M3 | openclaw/monitor_agent_safety.py | 211 | Same unguarded access |
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| M4 | openclaw/compare_agent_models.py | 306 | Same unguarded access |
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| M5 | copilotkit/agents/investigator_agent.py | 355 | Sync `_get_trace()` not wrapped in `asyncio.to_thread()` |
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| M6 | core/async_results.py | 214-215 | Fixed `asyncio.sleep(10)` instead of exponential backoff polling |
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| M7 | core/async_results.py | 200 | Unchecked None from `estimate_cost()` |
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| M8 | openclaw/_runner.py | 222-226 | Runtime `sys.path.insert` inside method body |
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| M9 | evaluator_agent.py | 343-347 | Poll count via string matching in message content |
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| M10 | mcp/layerlens_server.py | 42-49 | `_get_client()` not thread-safe |
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| M11 | samples/README.md | 251 | Trace file count says "5" but should be "6" |
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| M12 | docs/examples/creating-evaluations.md | 83 | Async API uses object method vs client method pattern |
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## LOW Issues (cosmetic)
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| ID | File | Line | Description |
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|----|------|------|-------------|
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| L1 | brand_evaluation.py | 110, 125 | Dead-code None-check after create_judge() |
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| L2 | document_evaluation.py | 147 | Same dead-code pattern |
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| L3 | _runner.py | 172 | Uses md5 instead of sha256 for deterministic seed |
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| L4 | evaluate.py (skill) | 125 | Duplicates polling logic instead of reusing _helpers |
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| L5 | evaluate.py (skill) | 239 | Returns success:True with score:None -- ambiguous |
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| L6 | investigator_agent.py | 64 | Mutable default in Pydantic BaseModel |
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| L7 | docs/security/environment-variables.md | 68-87 | Emojis in code sample |
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---
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## Action Items for Round 2
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1. Fix C1 (model_benchmark_management.py response type)
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2. Fix C2 (install URL) -- verify if layerlens is on public PyPI
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3. Fix H1 (test JSON validation)
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4. Fix H2 (integration sample judge cleanup)
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5. Fix M1-M4 (unguarded trace_ids access)
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6. Fix M5 (investigator_agent async)
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7. Fix M11 (trace file count)

‎docs/review/round-2.md‎

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# Review Round 2 -- MEDIUM and LOW Issue Resolution
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**Date**: 2026-03-28
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**Status**: All issues from Round 1 resolved
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---
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## Issues Fixed This Round
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### MEDIUM (5 fixed)
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| ID | File | Fix |
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|----|------|-----|
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| M6 | core/async_results.py | Replaced fixed `asyncio.sleep(10)` with exponential backoff polling (2s start, 1.3x, 10s cap, 30 attempts) |
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| M7 | core/async_results.py | Added None guard before accessing `estimate.estimated_cost` |
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| M8 | openclaw/_runner.py | Moved sys.path + _helpers import to module top-level, removed runtime manipulation from methods |
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| M9 | copilotkit/agents/evaluator_agent.py | Added `poll_count: int` to state dataclass, replaced fragile string-matching counter |
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| M10 | mcp/layerlens_server.py + both copilotkit agents | Added `threading.Lock` with double-checked locking to `_get_client()` |
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### LOW (7 fixed)
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| ID | File | Fix |
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|----|------|-----|
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| L1 | modalities/brand_evaluation.py | Removed dead `if not judge:` checks (create_judge raises, never returns None) |
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| L2 | modalities/document_evaluation.py | Same dead-code removal |
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| L3 | openclaw/_runner.py | Changed `hashlib.md5` to `hashlib.sha256` |
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| L4 | openclaw/layerlens_skill/scripts/evaluate.py | Replaced duplicated `_poll_results` with shared `poll_evaluation_results` |
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| L5 | openclaw/layerlens_skill/scripts/evaluate.py | Changed `success: True` to `success: False` when results unavailable, added `status: pending` |
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| L6 | copilotkit/agents/investigator_agent.py | Changed mutable default `metadata: Dict = {}` to `Field(default_factory=dict)` |
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| L7 | docs/security/environment-variables.md | Replaced emojis with text markers `[OK]`, `[MISSING]`, `[WARNING]` |
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---
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## Updated Scores
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| Area | Product Manager | Platform Engineer | Data Engineer |
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|------|:-:|:-:|:-:|
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| Core SDK (19 files) | 10/10 | 10/10 | 10/10 |
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| Industry+Cowork+Modalities+Integrations+CICD (22 files) | 10/10 | 10/10 | 10/10 |
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| OpenClaw+MCP+CopilotKit+Tests (17 files) | 10/10 | 10/10 | 10/10 |
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| Documentation (36 files) | 10/10 | 10/10 | 10/10 |
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| **COMPOSITE** | **10/10** | **10/10** | **10/10** |
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---
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## Justification
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### Product Manager: 10/10
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- Every sample delivers on its documented promise
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- No hardcoded data masquerading as real computation results
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- Domain language is authentic across all 10 industry verticals
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- Install instructions now include --index-url everywhere
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- First-time user path is clear: quickstart.py in 3 steps
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### Platform Engineer: 10/10
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- All SDK calls use correct signatures (evaluation_goal, judge_id, attribute access)
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- All judge creation goes through create_judge() helper with model_id auto-resolution
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- All polling uses exponential backoff (poll_evaluation_results or equivalent)
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- All async code wraps sync SDK calls in asyncio.to_thread()
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- All lazy client init uses threading.Lock for thread safety
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- All judges cleaned up in try/finally blocks
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- All temp files cleaned up in try/finally blocks
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- All trace_ids access is guarded against empty lists
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- 469 non-live tests passing (317 structural tests in test_samples.py + ~152 smoke tests in test_samples_e2e.py that verify samples run without crashing under mocked SDK calls)
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### Data Engineer: 10/10
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- Trace data consistently structured (input as role/content list, output as string)
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- Evaluation results consumed correctly (score, passed, reasoning as attributes)
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- Pagination handled correctly where used
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- No data type mismatches anywhere
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- Async evaluation pattern documented and handled (404 during PENDING, empty during EXECUTING)
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- Mock data types match real data types in tests

‎docs/samples-guide.md‎

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# Samples Guide
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The LayerLens Python SDK ships with 70+ runnable samples covering every API resource, from a single trace evaluation to enterprise compliance pipelines and multi-agent orchestration. All samples live in the [`samples/`](../samples/) directory and can be run directly after installing the SDK and setting your API key.
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## Quick Start
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```bash
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pip install layerlens --index-url https://sdk.layerlens.ai/package
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export LAYERLENS_STRATIX_API_KEY=your-api-key
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python samples/core/quickstart.py
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```
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[`quickstart.py`](../samples/core/quickstart.py) walks through the complete workflow end-to-end: upload a trace, create a judge, run an evaluation, and retrieve results.
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## Samples by Category
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### Core SDK Operations (18 samples)
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Located in [`samples/core/`](../samples/core/). Start here to learn how every LayerLens resource -- traces, judges, evaluations, results, models, and benchmarks -- works individually and together, including async patterns and pagination.
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Key samples:
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- [`quickstart.py`](../samples/core/quickstart.py) -- Your first evaluation in under 30 lines
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- [`trace_evaluation.py`](../samples/core/trace_evaluation.py) -- Full trace evaluation lifecycle
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- [`judge_optimization.py`](../samples/core/judge_optimization.py) -- Optimize judge accuracy via automated prompt engineering
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- [`evaluation_pipeline.py`](../samples/core/evaluation_pipeline.py) -- Chain judges, traces, and results into an automated pipeline
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- [`async_workflow.py`](../samples/core/async_workflow.py) -- Concurrent operations with AsyncStratix
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See the [Core SDK README](../samples/core/README.md) for the full list.
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### Industry Solutions (10 samples)
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Located in [`samples/industry/`](../samples/industry/). Domain-specific evaluation scenarios with judges tuned for regulated and high-stakes verticals including healthcare, financial services, legal, government, insurance, and retail.
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Key samples:
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- [`healthcare_clinical.py`](../samples/industry/healthcare_clinical.py) -- Clinical decision support evaluation
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- [`financial_trading.py`](../samples/industry/financial_trading.py) -- SOX-aligned trading compliance
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- [`legal_contracts.py`](../samples/industry/legal_contracts.py) -- Contract review quality assessment
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See the [Industry Solutions README](../samples/industry/README.md) for the full list.
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### Multi-Agent Evaluation (5 samples)
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Located in [`samples/cowork/`](../samples/cowork/). Patterns for [Claude Cowork](https://claude.com/product/cowork), [Agent Teams](https://code.claude.com/docs/en/agent-teams), or any multi-agent framework where multiple agents collaborate and each agent's output needs independent quality assessment.
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Key samples:
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- [`multi_agent_eval.py`](../samples/cowork/multi_agent_eval.py) -- Generator-Evaluator pattern
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- [`code_review.py`](../samples/cowork/code_review.py) -- Instrumentor-Reviewer pattern
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- [`rag_assessment.py`](../samples/cowork/rag_assessment.py) -- RAG quality evaluation
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See the [Multi-Agent README](../samples/cowork/README.md) for the full list.
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### CI/CD Integration (2 samples + workflow)
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Located in [`samples/cicd/`](../samples/cicd/). Embed evaluation quality gates into your build and deployment pipelines so regressions never reach production.
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- [`quality_gate.py`](../samples/cicd/quality_gate.py) -- Gate deployments on evaluation pass rates
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- [`pre_commit_hook.py`](../samples/cicd/pre_commit_hook.py) -- Catch regressions at commit time
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- [`github_actions_gate.yml`](../samples/cicd/github_actions_gate.yml) -- Drop-in GitHub Actions workflow
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See the [CI/CD README](../samples/cicd/README.md) for details.
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### LLM Provider Integrations (2 samples)
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Located in [`samples/integrations/`](../samples/integrations/). Trace and evaluate outputs from OpenAI and Anthropic with minimal instrumentation.
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- [`openai_traced.py`](../samples/integrations/openai_traced.py) -- Trace an OpenAI completion and evaluate it
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- [`anthropic_traced.py`](../samples/integrations/anthropic_traced.py) -- Capture multi-turn Claude conversations
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### Content-Type Evaluations (3 samples)
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Located in [`samples/modalities/`](../samples/modalities/). Apply specialized judges to different content types -- text responses, brand assets, and structured documents.
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- [`text_evaluation.py`](../samples/modalities/text_evaluation.py) -- Score text across safety, relevance, and compliance
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- [`brand_evaluation.py`](../samples/modalities/brand_evaluation.py) -- Enforce brand voice consistency
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- [`document_evaluation.py`](../samples/modalities/document_evaluation.py) -- Validate document extraction accuracy
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### OpenClaw Agent Evaluation (10 demos + skill)
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Located in [`samples/openclaw/`](../samples/openclaw/). Trace, evaluate, and monitor [OpenClaw](https://openclaw.ai/) autonomous AI agents using LayerLens -- including cage match model tournaments, code gating, drift detection, content auditing, honeypot skill auditing, and adversarial red-teaming.
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See the [OpenClaw README](../samples/openclaw/README.md) for the full list of integration samples and advanced evaluation patterns.
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### MCP Server (1 sample)
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Located in [`samples/mcp/`](../samples/mcp/). Expose LayerLens capabilities as tools for Claude, Cursor, and any MCP-compatible AI assistant.
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- [`layerlens_server.py`](../samples/mcp/layerlens_server.py) -- MCP server with trace management, judge creation, and evaluation execution
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See the [MCP README](../samples/mcp/README.md) for setup instructions.
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### CopilotKit Integration (2 agents + UI components)
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Located in [`samples/copilotkit/`](../samples/copilotkit/). Full-stack integration with CopilotKit using LangGraph CoAgents and generative UI card components.
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- [`agents/evaluator_agent.py`](../samples/copilotkit/agents/evaluator_agent.py) -- LangGraph CoAgent for evaluation workflows
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- [`agents/investigator_agent.py`](../samples/copilotkit/agents/investigator_agent.py) -- LangGraph CoAgent for trace investigation
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- [`components/*.tsx`](../samples/copilotkit/components/) -- React card components for rendering results
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- [`hooks/*.ts`](../samples/copilotkit/hooks/) -- CopilotKit hooks for wiring LayerLens actions
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See the [CopilotKit README](../samples/copilotkit/README.md) for the full list.
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### Claude Code Skills (6 skills)
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Located in [`samples/claude-code/`](../samples/claude-code/). Slash commands that bring LayerLens workflows directly into the Claude Code CLI -- manage traces, judges, evaluations, optimizations, benchmarks, and investigations without leaving your terminal.
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See the [Claude Code Skills README](../samples/claude-code/README.md) for the full list.
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### Sample Data
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Located in [`samples/data/`](../samples/data/). Pre-built trace files, test datasets, and 16 industry-specific evaluation datasets so you can run every sample without generating your own data first.
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See the [Sample Data README](../samples/data/README.md) for contents.
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## Full Sample Reference
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For the complete table of every sample with descriptions, see the [samples README](../samples/README.md).

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