diff --git a/samples/agent/langgraph/restaurant_finder/.env.example b/samples/agent/langgraph/restaurant_finder/.env.example new file mode 100644 index 00000000..c4522b4e --- /dev/null +++ b/samples/agent/langgraph/restaurant_finder/.env.example @@ -0,0 +1,7 @@ +# Copy this file to .env and fill in your API key +# Get your API key at: https://aistudio.google.com/apikey + +GEMINI_API_KEY=your_gemini_api_key_here + +# Optional: Use Vertex AI instead of Gemini API +# GOOGLE_GENAI_USE_VERTEXAI=TRUE diff --git a/samples/agent/langgraph/restaurant_finder/README.md b/samples/agent/langgraph/restaurant_finder/README.md new file mode 100644 index 00000000..f98aaeed --- /dev/null +++ b/samples/agent/langgraph/restaurant_finder/README.md @@ -0,0 +1,46 @@ +# A2UI Restaurant finder and table reservation agent sample (LangGraph) + +This sample uses [LangGraph](https://github.com/langchain-ai/langgraph) along with the A2A protocol to create a simple "Restaurant finder and table reservation" agent that is hosted as an A2A server. + +## Prerequisites + +- Python 3.9 or higher +- [UV](https://docs.astral.sh/uv/) +- Access to an LLM and API Key (Google Gemini is used by default) + +## Running the Sample + +1. Navigate to the samples directory: + + ```bash + cd samples/agent/langgraph/restaurant_finder + ``` + +2. Create an environment file with your API key: + + ```bash + cp .env.example .env + # Edit .env with your actual API key (do not commit .env) + ``` + +3. Run the agent server: + + ```bash + uv run . + ``` + +## Implementation Details + +- `agent.py`: Defines the LangGraph agent, state, and tools. +- `agent_executor.py`: Adapts the LangGraph agent to the A2A server interface. +- `a2ui_examples.py`: Contains few-shot examples for A2UI generation. + +## Disclaimer + +Important: The sample code provided is for demonstration purposes and illustrates the mechanics of A2UI and the Agent-to-Agent (A2A) protocol. When building production applications, it is critical to treat any agent operating outside of your direct control as a potentially untrusted entity. + +All operational data received from an external agent—including its AgentCard, messages, artifacts, and task statuses—should be handled as untrusted input. For example, a malicious agent could provide crafted data in its fields (e.g., name, skills.description) that, if used without sanitization to construct prompts for a Large Language Model (LLM), could expose your application to prompt injection attacks. + +Similarly, any UI definition or data stream received must be treated as untrusted. Malicious agents could attempt to spoof legitimate interfaces to deceive users (phishing), inject malicious scripts via property values (XSS), or generate excessive layout complexity to degrade client performance (DoS). If your application supports optional embedded content (such as iframes or web views), additional care must be taken to prevent exposure to malicious external sites. + +Developer Responsibility: Failure to properly validate data and strictly sandbox rendered content can introduce severe vulnerabilities. Developers are responsible for implementing appropriate security measures—such as input sanitization, Content Security Policies (CSP), strict isolation for optional embedded content, and secure credential handling—to protect their systems and users. diff --git a/samples/agent/langgraph/restaurant_finder/__main__.py b/samples/agent/langgraph/restaurant_finder/__main__.py new file mode 100644 index 00000000..bf0de94d --- /dev/null +++ b/samples/agent/langgraph/restaurant_finder/__main__.py @@ -0,0 +1,119 @@ +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +import os + +import click +from a2a.server.apps import A2AStarletteApplication +from a2a.server.request_handlers import DefaultRequestHandler +from a2a.server.tasks import InMemoryTaskStore +from a2a.types import AgentCapabilities, AgentCard, AgentSkill +from a2ui.a2ui_extension import get_a2ui_agent_extension +from agent_executor import RestaurantAgentExecutor +from agent import RestaurantAgent # To get SUPPORTED_CONTENT_TYPES ideally, but we can hardcode for now or add it to class +from dotenv import load_dotenv +from starlette.middleware.cors import CORSMiddleware +from starlette.staticfiles import StaticFiles + +load_dotenv() + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +class MissingAPIKeyError(Exception): + """Exception for missing API key.""" + + +@click.command() +@click.option("--host", default="localhost") +@click.option("--port", default=10002) +def main(host, port): + try: + # Check for API key only if Vertex AI is not configured + if not os.getenv("GOOGLE_GENAI_USE_VERTEXAI") == "TRUE": + if not os.getenv("GEMINI_API_KEY"): + raise MissingAPIKeyError( + "GEMINI_API_KEY environment variable not set and GOOGLE_GENAI_USE_VERTEXAI is not TRUE." + ) + + capabilities = AgentCapabilities( + streaming=True, + extensions=[get_a2ui_agent_extension()], + ) + skill = AgentSkill( + id="find_restaurants", + name="Find Restaurants Tool", + description="Helps find restaurants based on user criteria (e.g., cuisine, location).", + tags=["restaurant", "finder"], + examples=["Find me the top 10 chinese restaurants in the US"], + ) + + base_url = f"http://{host}:{port}" + + # Hardcoding supported types since I didn't add them to the class yet, + # or I can update agent.py to have them. Let's do that for consistency if I modify agent.py. + # But for now I'll just put them here. + SUPPORTED_CONTENT_TYPES = ["text", "text/plain"] + + agent_card = AgentCard( + name="Restaurant Agent (LangGraph)", + description="This agent helps find restaurants based on user criteria.", + url=base_url, + version="1.0.0", + default_input_modes=SUPPORTED_CONTENT_TYPES, + default_output_modes=SUPPORTED_CONTENT_TYPES, + capabilities=capabilities, + skills=[skill], + ) + + agent_executor = RestaurantAgentExecutor(base_url=base_url) + + request_handler = DefaultRequestHandler( + agent_executor=agent_executor, + task_store=InMemoryTaskStore(), + ) + server = A2AStarletteApplication( + agent_card=agent_card, http_handler=request_handler + ) + import uvicorn + + app = server.build() + + app.add_middleware( + CORSMiddleware, + allow_origin_regex=r"http://localhost:\d+", + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + # Ensure images dir exists or handle it. We copied the files but maybe not the dir? + # The `cp` command I used earlier: `cp ...samples/agent/adk/restaurant_finder/{tools.py,...} ...` + # It didn't copy `images` directory explicitly. I should fix that. + if os.path.isdir("images"): + app.mount("/static", StaticFiles(directory="images"), name="static") + + uvicorn.run(app, host=host, port=port) + except MissingAPIKeyError as e: + logger.error(f"Error: {e}") + exit(1) + except Exception as e: + logger.error(f"An error occurred during server startup: {e}") + exit(1) + + +if __name__ == "__main__": + main() diff --git a/samples/agent/langgraph/restaurant_finder/a2ui_examples.py b/samples/agent/langgraph/restaurant_finder/a2ui_examples.py new file mode 100644 index 00000000..25605a7c --- /dev/null +++ b/samples/agent/langgraph/restaurant_finder/a2ui_examples.py @@ -0,0 +1,186 @@ +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +RESTAURANT_UI_EXAMPLES = """ +---BEGIN SINGLE_COLUMN_LIST_EXAMPLE--- +[ + {{ "beginRendering": {{ "surfaceId": "default", "root": "root-column", "styles": {{ "primaryColor": "#FF0000", "font": "Roboto" }} }} }}, + {{ "surfaceUpdate": {{ + "surfaceId": "default", + "components": [ + {{ "id": "root-column", "component": {{ "Column": {{ "children": {{ "explicitList": ["title-heading", "item-list"] }} }} }} }}, + {{ "id": "title-heading", "component": {{ "Text": {{ "usageHint": "h1", "text": {{ "path": "title" }} }} }} }}, + {{ "id": "item-list", "component": {{ "List": {{ "direction": "vertical", "children": {{ "template": {{ "componentId": "item-card-template", "dataBinding": "/items" }} }} }} }} }}, + {{ "id": "item-card-template", "component": {{ "Card": {{ "child": "card-layout" }} }} }}, + {{ "id": "card-layout", "component": {{ "Row": {{ "children": {{ "explicitList": ["template-image", "card-details"] }} }} }} }}, + {{ "id": "template-image", "weight": 1, "component": {{ "Image": {{ "url": {{ "path": "imageUrl" }} }} }} }}, + {{ "id": "card-details", "weight": 2, "component": {{ "Column": {{ "children": {{ "explicitList": ["template-name", "template-rating", "template-detail", "template-link", "template-book-button"] }} }} }} }}, + {{ "id": "template-name", "component": {{ "Text": {{ "usageHint": "h3", "text": {{ "path": "name" }} }} }} }}, + {{ "id": "template-rating", "component": {{ "Text": {{ "text": {{ "path": "rating" }} }} }} }}, + {{ "id": "template-detail", "component": {{ "Text": {{ "text": {{ "path": "detail" }} }} }} }}, + {{ "id": "template-link", "component": {{ "Text": {{ "text": {{ "path": "infoLink" }} }} }} }}, + {{ "id": "template-book-button", "component": {{ "Button": {{ "child": "book-now-text", "primary": true, "action": {{ "name": "book_restaurant", "context": [ {{ "key": "restaurantName", "value": {{ "path": "name" }} }}, {{ "key": "imageUrl", "value": {{ "path": "imageUrl" }} }}, {{ "key": "address", "value": {{ "path": "address" }} }} ] }} }} }} }}, + {{ "id": "book-now-text", "component": {{ "Text": {{ "text": {{ "literalString": "Book Now" }} }} }} }} + ] + }} }}, + {{ "dataModelUpdate": {{ + "surfaceId": "default", + "path": "/", + "contents": [ + {{ "key": "items", "valueMap": [ + {{ "key": "item1", "valueMap": [ + {{ "key": "name", "valueString": "The Fancy Place" }}, + {{ "key": "rating", "valueNumber": 4.8 }}, + {{ "key": "detail", "valueString": "Fine dining experience" }}, + {{ "key": "infoLink", "valueString": "https://example.com/fancy" }}, + {{ "key": "imageUrl", "valueString": "https://example.com/fancy.jpg" }}, + {{ "key": "address", "valueString": "123 Main St" }} + ] }}, + {{ "key": "item2", "valueMap": [ + {{ "key": "name", "valueString": "Quick Bites" }}, + {{ "key": "rating", "valueNumber": 4.2 }}, + {{ "key": "detail", "valueString": "Casual and fast" }}, + {{ "key": "infoLink", "valueString": "https://example.com/quick" }}, + {{ "key": "imageUrl", "valueString": "https://example.com/quick.jpg" }}, + {{ "key": "address", "valueString": "456 Oak Ave" }} + ] }} + ] }} // Populate this with restaurant data + ] + }} }} +] +---END SINGLE_COLUMN_LIST_EXAMPLE--- + +---BEGIN TWO_COLUMN_LIST_EXAMPLE--- +[ + {{ "beginRendering": {{ "surfaceId": "default", "root": "root-column", "styles": {{ "primaryColor": "#FF0000", "font": "Roboto" }} }} }}, + {{ "surfaceUpdate": {{ + "surfaceId": "default", + "components": [ + {{ "id": "root-column", "component": {{ "Column": {{ "children": {{ "explicitList": ["title-heading", "restaurant-row-1"] }} }} }} }}, + {{ "id": "title-heading", "component": {{ "Text": {{ "usageHint": "h1", "text": {{ "path": "title" }} }} }} }}, + {{ "id": "restaurant-row-1", "component": {{ "Row": {{ "children": {{ "explicitList": ["item-card-1", "item-card-2"] }} }} }} }}, + {{ "id": "item-card-1", "weight": 1, "component": {{ "Card": {{ "child": "card-layout-1" }} }} }}, + {{ "id": "card-layout-1", "component": {{ "Column": {{ "children": {{ "explicitList": ["template-image-1", "card-details-1"] }} }} }} }}, + {{ "id": "template-image-1", "component": {{ "Image": {{ "url": {{ "path": "/items/0/imageUrl" }}, "width": "100%" }} }} }}, + {{ "id": "card-details-1", "component": {{ "Column": {{ "children": {{ "explicitList": ["template-name-1", "template-rating-1", "template-detail-1", "template-link-1", "template-book-button-1"] }} }} }} }}, + {{ "id": "template-name-1", "component": {{ "Text": {{ "usageHint": "h3", "text": {{ "path": "/items/0/name" }} }} }} }}, + {{ "id": "template-rating-1", "component": {{ "Text": {{ "text": {{ "path": "/items/0/rating" }} }} }} }}, + {{ "id": "template-detail-1", "component": {{ "Text": {{ "text": {{ "path": "/items/0/detail" }} }} }} }}, + {{ "id": "template-link-1", "component": {{ "Text": {{ "text": {{ "path": "/items/0/infoLink" }} }} }} }}, + {{ "id": "template-book-button-1", "component": {{ "Button": {{ "child": "book-now-text-1", "action": {{ "name": "book_restaurant", "context": [ {{ "key": "restaurantName", "value": {{ "path": "/items/0/name" }} }}, {{ "key": "imageUrl", "value": {{ "path": "/items/0/imageUrl" }} }}, {{ "key": "address", "value": {{ "path": "/items/0/address" }} }} ] }} }} }} }}, + {{ "id": "book-now-text-1", "component": {{ "Text": {{ "text": {{ "literalString": "Book Now" }} }} }} }}, + {{ "id": "item-card-2", "weight": 1, "component": {{ "Card": {{ "child": "card-layout-2" }} }} }}, + {{ "id": "card-layout-2", "component": {{ "Column": {{ "children": {{ "explicitList": ["template-image-2", "card-details-2"] }} }} }} }}, + {{ "id": "template-image-2", "component": {{ "Image": {{ "url": {{ "path": "/items/1/imageUrl" }}, "width": "100%" }} }} }}, + {{ "id": "card-details-2", "component": {{ "Column": {{ "children": {{ "explicitList": ["template-name-2", "template-rating-2", "template-detail-2", "template-link-2", "template-book-button-2"] }} }} }} }}, + {{ "id": "template-name-2", "component": {{ "Text": {{ "usageHint": "h3", "text": {{ "path": "/items/1/name" }} }} }} }}, + {{ "id": "template-rating-2", "component": {{ "Text": {{ "text": {{ "path": "/items/1/rating" }} }} }} }}, + {{ "id": "template-detail-2", "component": {{ "Text": {{ "text": {{ "path": "/items/1/detail" }} }} }} }}, + {{ "id": "template-link-2", "component": {{ "Text": {{ "text": {{ "path": "/items/1/infoLink" }} }} }} }}, + {{ "id": "template-book-button-2", "component": {{ "Button": {{ "child": "book-now-text-2", "action": {{ "name": "book_restaurant", "context": [ {{ "key": "restaurantName", "value": {{ "path": "/items/1/name" }} }}, {{ "key": "imageUrl", "value": {{ "path": "/items/1/imageUrl" }} }}, {{ "key": "address", "value": {{ "path": "/items/1/address" }} }} ] }} }} }} }}, + {{ "id": "book-now-text-2", "component": {{ "Text": {{ "text": {{ "literalString": "Book Now" }} }} }} }} + ] + }} }}, + {{ "dataModelUpdate": {{ + "surfaceId": "default", + "path": "/", + "contents": [ + {{ "key": "title", "valueString": "Top Restaurants" }}, + {{ "key": "items", "valueMap": [ + {{ "key": "item1", "valueMap": [ + {{ "key": "name", "valueString": "The Fancy Place" }}, + {{ "key": "rating", "valueNumber": 4.8 }}, + {{ "key": "detail", "valueString": "Fine dining experience" }}, + {{ "key": "infoLink", "valueString": "https://example.com/fancy" }}, + {{ "key": "imageUrl", "valueString": "https://example.com/fancy.jpg" }}, + {{ "key": "address", "valueString": "123 Main St" }} + ] }}, + {{ "key": "item2", "valueMap": [ + {{ "key": "name", "valueString": "Quick Bites" }}, + {{ "key": "rating", "valueNumber": 4.2 }}, + {{ "key": "detail", "valueString": "Casual and fast" }}, + {{ "key": "infoLink", "valueString": "https://example.com/quick" }}, + {{ "key": "imageUrl", "valueString": "https://example.com/quick.jpg" }}, + {{ "key": "address", "valueString": "456 Oak Ave" }} + ] }} + ] }} // Populate this with restaurant data + ] + }} }} +] +---END TWO_COLUMN_LIST_EXAMPLE--- + +---BEGIN BOOKING_FORM_EXAMPLE--- +[ + {{ "beginRendering": {{ "surfaceId": "booking-form", "root": "booking-form-column", "styles": {{ "primaryColor": "#FF0000", "font": "Roboto" }} }} }}, + {{ "surfaceUpdate": {{ + "surfaceId": "booking-form", + "components": [ + {{ "id": "booking-form-column", "component": {{ "Column": {{ "children": {{ "explicitList": ["booking-title", "restaurant-image", "restaurant-address", "party-size-field", "datetime-field", "dietary-field", "submit-button"] }} }} }} }}, + {{ "id": "booking-title", "component": {{ "Text": {{ "usageHint": "h2", "text": {{ "path": "title" }} }} }} }}, + {{ "id": "restaurant-image", "component": {{ "Image": {{ "url": {{ "path": "imageUrl" }} }} }} }}, + {{ "id": "restaurant-address", "component": {{ "Text": {{ "text": {{ "path": "address" }} }} }} }}, + {{ "id": "party-size-field", "component": {{ "TextField": {{ "label": {{ "literalString": "Party Size" }}, "text": {{ "path": "partySize" }}, "type": "number" }} }} }}, + {{ "id": "datetime-field", "component": {{ "DateTimeInput": {{ "label": {{ "literalString": "Date & Time" }}, "value": {{ "path": "reservationTime" }}, "enableDate": true, "enableTime": true }} }} }}, + {{ "id": "dietary-field", "component": {{ "TextField": {{ "label": {{ "literalString": "Dietary Requirements" }}, "text": {{ "path": "dietary" }} }} }} }}, + {{ "id": "submit-button", "component": {{ "Button": {{ "child": "submit-reservation-text", "action": {{ "name": "submit_booking", "context": [ {{ "key": "restaurantName", "value": {{ "path": "restaurantName" }} }}, {{ "key": "partySize", "value": {{ "path": "partySize" }} }}, {{ "key": "reservationTime", "value": {{ "path": "reservationTime" }} }}, {{ "key": "dietary", "value": {{ "path": "dietary" }} }}, {{ "key": "imageUrl", "value": {{ "path": "imageUrl" }} }} ] }} }} }} }}, + {{ "id": "submit-reservation-text", "component": {{ "Text": {{ "text": {{ "literalString": "Submit Reservation" }} }} }} }} + ] + }} }}, + {{ "dataModelUpdate": {{ + "surfaceId": "booking-form", + "path": "/", + "contents": [ + {{ "key": "title", "valueString": "Book a Table at [RestaurantName]" }}, + {{ "key": "address", "valueString": "[Restaurant Address]" }}, + {{ "key": "restaurantName", "valueString": "[RestaurantName]" }}, + {{ "key": "partySize", "valueString": "2" }}, + {{ "key": "reservationTime", "valueString": "" }}, + {{ "key": "dietary", "valueString": "" }}, + {{ "key": "imageUrl", "valueString": "" }} + ] + }} }} +] +---END BOOKING_FORM_EXAMPLE--- + +---BEGIN CONFIRMATION_EXAMPLE--- +[ + {{ "beginRendering": {{ "surfaceId": "confirmation", "root": "confirmation-card", "styles": {{ "primaryColor": "#FF0000", "font": "Roboto" }} }} }}, + {{ "surfaceUpdate": {{ + "surfaceId": "confirmation", + "components": [ + {{ "id": "confirmation-card", "component": {{ "Card": {{ "child": "confirmation-column" }} }} }}, + {{ "id": "confirmation-column", "component": {{ "Column": {{ "children": {{ "explicitList": ["confirm-title", "confirm-image", "divider1", "confirm-details", "divider2", "confirm-dietary", "divider3", "confirm-text"] }} }} }} }}, + {{ "id": "confirm-title", "component": {{ "Text": {{ "usageHint": "h2", "text": {{ "path": "title" }} }} }} }}, + {{ "id": "confirm-image", "component": {{ "Image": {{ "url": {{ "path": "imageUrl" }} }} }} }}, + {{ "id": "confirm-details", "component": {{ "Text": {{ "text": {{ "path": "bookingDetails" }} }} }} }}, + {{ "id": "confirm-dietary", "component": {{ "Text": {{ "text": {{ "path": "dietaryRequirements" }} }} }} }}, + {{ "id": "confirm-text", "component": {{ "Text": {{ "usageHint": "h5", "text": {{ "literalString": "We look forward to seeing you!" }} }} }} }}, + {{ "id": "divider1", "component": {{ "Divider": {{}} }} }}, + {{ "id": "divider2", "component": {{ "Divider": {{}} }} }}, + {{ "id": "divider3", "component": {{ "Divider": {{}} }} }} + ] + }} }}, + {{ "dataModelUpdate": {{ + "surfaceId": "confirmation", + "path": "/", + "contents": [ + {{ "key": "title", "valueString": "Booking at [RestaurantName]" }}, + {{ "key": "bookingDetails", "valueString": "[PartySize] people at [Time]" }}, + {{ "key": "dietaryRequirements", "valueString": "Dietary Requirements: [Requirements]" }}, + {{ "key": "imageUrl", "valueString": "[ImageUrl]" }} + ] + }} }} +] +---END CONFIRMATION_EXAMPLE--- +""" diff --git a/samples/agent/langgraph/restaurant_finder/agent.py b/samples/agent/langgraph/restaurant_finder/agent.py new file mode 100644 index 00000000..64cb7bf4 --- /dev/null +++ b/samples/agent/langgraph/restaurant_finder/agent.py @@ -0,0 +1,292 @@ +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import logging +import os +from typing import Annotated, Any, Dict, List, TypedDict + +import jsonschema +from langchain_core.messages import BaseMessage, HumanMessage, AIMessage, ToolMessage +from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder +from langchain_core.tools import tool +from langchain_google_genai import ChatGoogleGenerativeAI +from langchain_core.runnables import RunnableConfig +from langgraph.graph import END, StateGraph, START +from langgraph.graph.message import add_messages +from langgraph.prebuilt import ToolNode + +from prompt_builder import ( + A2UI_SCHEMA, + RESTAURANT_UI_EXAMPLES, + get_text_prompt, + get_ui_prompt, +) +from tools import get_restaurants + +logger = logging.getLogger(__name__) + +# --- Setup Tools --- +class ToolContext: + """Simple context object to pass base_url to tools.""" + def __init__(self, base_url): + self.state = {"base_url": base_url} + +@tool +def search_restaurants( + cuisine: str = None, + location: str = None, + count: int = 5, + config: RunnableConfig = None +): + """ + Find restaurants based on cuisine and location. + Args: + cuisine: Type of food (e.g. Italian, Chinese). + location: City or area. + count: Number of results. + config: RunnableConfig containing base_url in configurable dict. + """ + # Extract base_url from RunnableConfig + base_url = config["configurable"]["base_url"] + + ctx = ToolContext(base_url) + return get_restaurants( + cuisine=cuisine or "", + location=location or "", + tool_context=ctx, + count=count + ) + + +AGENT_INSTRUCTION = """ + You are a helpful restaurant finding assistant. Your goal is to help users find and book restaurants using a rich UI. + + To achieve this, you MUST follow this logic: + + 1. **For finding restaurants:** + a. You MUST call the `search_restaurants` tool. Extract the cuisine, location, and a specific number (`count`) of restaurants from the user's query (e.g., for "top 5 chinese places", count is 5). + b. After receiving the data, you MUST follow the instructions precisely to generate the final a2ui UI JSON, using the appropriate UI example from the `prompt_builder.py` based on the number of restaurants. + + 2. **For booking a table (when you receive a query like 'USER_WANTS_TO_BOOK...'):** + a. You MUST use the appropriate UI example from `prompt_builder.py` to generate the UI, populating the `dataModelUpdate.contents` with the details from the user's query. + + 3. **For confirming a booking (when you receive a query like 'User submitted a booking...'):** + a. You MUST use the appropriate UI example from `prompt_builder.py` to generate the confirmation UI, populating the `dataModelUpdate.contents` with the final booking details. +""" + +# --- State Definition --- +class AgentState(TypedDict): + messages: Annotated[List[BaseMessage], add_messages] + attempts: int + base_url: str + use_ui: bool + error_message: str + +# --- Graph Nodes --- + +def call_model(state: AgentState): + messages = state["messages"] + use_ui = state.get("use_ui", False) + base_url = state.get("base_url", "http://localhost:10002") + + # Build system prompt + from langchain_core.messages import SystemMessage + + system_prompt = AGENT_INSTRUCTION + if use_ui: + system_prompt += get_ui_prompt(base_url, RESTAURANT_UI_EXAMPLES) + else: + system_prompt += get_text_prompt() + + if state.get("error_message"): + system_prompt += f"\n\nERROR IN PREVIOUS ATTEMPT: {state['error_message']}\nPlease correct the JSON." + + # Only add system message if it's not already in the conversation + # (LangGraph's checkpointer maintains conversation history) + if not messages or not isinstance(messages[0], SystemMessage): + messages_for_model = [SystemMessage(content=system_prompt)] + messages + else: + # System message already exists, just use messages as-is + messages_for_model = messages + + model = ChatGoogleGenerativeAI(model="gemini-2.0-flash-exp") + model_with_tools = model.bind_tools([search_restaurants]) + + # Invoke with the messages + response = model_with_tools.invoke(messages_for_model) + return {"messages": [response], "attempts": state.get("attempts", 0) + 1} + +def validate_response(state: AgentState): + """Validates the last message for A2UI schema compliance if use_ui is True.""" + if not state.get("use_ui", False): + return {"error_message": ""} + + last_message = state["messages"][-1] + + if not isinstance(last_message, AIMessage) or last_message.tool_calls: + # If it's a tool call, we don't validate UI schema yet, just proceed + return {"error_message": ""} + + content = last_message.content + try: + if "---a2ui_JSON---" not in content: + # Only strictly enforce if it looks like it SHOULD be a UI response? + # For now, let's enforce it if verify logic requires it. + # But maybe the agent just wants to say "Hi". + # The ADK agent enforces it for *final* responses essentially or checks for validity. + # Actually ADK logic: if it's a final response, it checks. + # Here, if no tool calls, it is likely a final response. + return {"error_message": "Missing '---a2ui_JSON---' delimiter."} + + _, json_string = content.split("---a2ui_JSON---", 1) + json_string_cleaned = json_string.strip().lstrip("```json").rstrip("```").strip() + + if not json_string_cleaned: + return {"error_message": "Empty JSON part."} + + # Attempt to repair common JSON errors (like unquoted keys) + import re + # Fix unquoted keys: e.g. { weight: 1 } -> { "weight": 1 } + # This regex matches word characters followed by a colon, ensuring they aren't already quoted + # Note: This is a simple heuristic and might need refinement for complex cases + fixed_json = re.sub(r'(? None: + query = "" + ui_event_part = None + action = None + + logger.info( + f"--- Client requested extensions: {context.requested_extensions} ---" + ) + use_ui = try_activate_a2ui_extension(context) + + # Determine which agent to use based on whether the a2ui extension is active. + if use_ui: + agent = self.ui_agent + logger.info( + "--- AGENT_EXECUTOR: A2UI extension is active. Using UI agent. ---" + ) + else: + agent = self.text_agent + logger.info( + "--- AGENT_EXECUTOR: A2UI extension is not active. Using text agent. ---" + ) + + if context.message and context.message.parts: + logger.info( + f"--- AGENT_EXECUTOR: Processing {len(context.message.parts)} message parts ---" + ) + for i, part in enumerate(context.message.parts): + if isinstance(part.root, DataPart): + if "userAction" in part.root.data: + logger.info(f" Part {i}: Found a2ui UI ClientEvent payload.") + ui_event_part = part.root.data["userAction"] + else: + logger.info(f" Part {i}: DataPart (data: {part.root.data})") + elif isinstance(part.root, TextPart): + logger.info(f" Part {i}: TextPart (text: {part.root.text})") + else: + logger.info(f" Part {i}: Unknown part type ({type(part.root)})") + + if ui_event_part: + logger.info(f"Received a2ui ClientEvent: {ui_event_part}") + action = ui_event_part.get("actionName") or ui_event_part.get("name") + ctx = ui_event_part.get("context", {}) + + if action == "book_restaurant": + restaurant_name = ctx.get("restaurantName", "Unknown Restaurant") + address = ctx.get("address", "Address not provided") + image_url = ctx.get("imageUrl", "") + query = f"USER_WANTS_TO_BOOK: {restaurant_name}, Address: {address}, ImageURL: {image_url}" + + elif action == "submit_booking": + restaurant_name = ctx.get("restaurantName", "Unknown Restaurant") + party_size = ctx.get("partySize", "Unknown Size") + reservation_time = ctx.get("reservationTime", "Unknown Time") + dietary_reqs = ctx.get("dietary", "None") + image_url = ctx.get("imageUrl", "") + query = f"User submitted a booking for {restaurant_name} for {party_size} people at {reservation_time} with dietary requirements: {dietary_reqs}. The image URL is {image_url}" + + else: + query = f"User submitted an event: {action} with data: {ctx}" + else: + logger.info("No a2ui UI event part found. Falling back to text input.") + query = context.get_user_input() + + logger.info(f"--- AGENT_EXECUTOR: Final query for LLM: '{query}' ---") + + task = context.current_task + + if not task: + task = new_task(context.message) + await event_queue.enqueue_event(task) + updater = TaskUpdater(event_queue, task.id, task.context_id) + + # Call the LangGraph agent + async for item in agent.stream(query, task.context_id): + is_task_complete = item["is_task_complete"] + if not is_task_complete: + await updater.update_status( + TaskState.working, + new_agent_text_message(item["updates"], task.context_id, task.id), + ) + continue + + final_state = ( + TaskState.completed + if action == "submit_booking" + else TaskState.input_required + ) + + content = item["content"] + final_parts = [] + if "---a2ui_JSON---" in content: + logger.info("Splitting final response into text and UI parts.") + text_content, json_string = content.split("---a2ui_JSON---", 1) + + if text_content.strip(): + final_parts.append(Part(root=TextPart(text=text_content.strip()))) + + if json_string.strip(): + try: + json_string_cleaned = ( + json_string.strip().lstrip("```json").rstrip("```").strip() + ) + json_data = json.loads(json_string_cleaned) + + if isinstance(json_data, list): + logger.info( + f"Found {len(json_data)} messages. Creating individual DataParts." + ) + for message in json_data: + final_parts.append(create_a2ui_part(message)) + else: + logger.info( + "Received a single JSON object. Creating a DataPart." + ) + final_parts.append(create_a2ui_part(json_data)) + + except json.JSONDecodeError as e: + logger.error(f"Failed to parse UI JSON: {e}") + final_parts.append(Part(root=TextPart(text=json_string))) + else: + final_parts.append(Part(root=TextPart(text=content.strip()))) + + logger.info("--- FINAL PARTS TO BE SENT ---") + for i, part in enumerate(final_parts): + logger.info(f" - Part {i}: Type = {type(part.root)}") + if isinstance(part.root, TextPart): + logger.info(f" - Text: {part.root.text[:200]}...") + elif isinstance(part.root, DataPart): + logger.info(f" - Data: {str(part.root.data)[:200]}...") + logger.info("-----------------------------") + + await updater.update_status( + final_state, + new_agent_parts_message(final_parts, task.context_id, task.id), + final=(final_state == TaskState.completed), + ) + break + + async def cancel( + self, request: RequestContext, event_queue: EventQueue + ) -> Task | None: + raise 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00000000..76b29ba7 Binary files /dev/null and b/samples/agent/langgraph/restaurant_finder/images/sweetsourpork.jpeg differ diff --git a/samples/agent/langgraph/restaurant_finder/images/vegfriedrice.jpeg b/samples/agent/langgraph/restaurant_finder/images/vegfriedrice.jpeg new file mode 100644 index 00000000..f86d58f5 Binary files /dev/null and b/samples/agent/langgraph/restaurant_finder/images/vegfriedrice.jpeg differ diff --git a/samples/agent/langgraph/restaurant_finder/prompt_builder.py b/samples/agent/langgraph/restaurant_finder/prompt_builder.py new file mode 100644 index 00000000..793293fc --- /dev/null +++ b/samples/agent/langgraph/restaurant_finder/prompt_builder.py @@ -0,0 +1,865 @@ +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# The A2UI schema remains constant for all A2UI responses. +A2UI_SCHEMA = r''' +{ + "title": "A2UI Message Schema", + "description": "Describes a JSON payload for an A2UI (Agent to UI) message, which is used to dynamically construct and update user interfaces. A message MUST contain exactly ONE of the action properties: 'beginRendering', 'surfaceUpdate', 'dataModelUpdate', or 'deleteSurface'.", + "type": "object", + "properties": { + "beginRendering": { + "type": "object", + "description": "Signals the client to begin rendering a surface with a root component and specific styles.", + "properties": { + "surfaceId": { + "type": "string", + "description": "The unique identifier for the UI surface to be rendered." + }, + "root": { + "type": "string", + "description": "The ID of the root component to render." + }, + "styles": { + "type": "object", + "description": "Styling information for the UI.", + "properties": { + "font": { + "type": "string", + "description": "The primary font for the UI." + }, + "primaryColor": { + "type": "string", + "description": "The primary UI color as a hexadecimal code (e.g., '#00BFFF').", + "pattern": "^#[0-9a-fA-F]{6}$" + } + } + } + }, + "required": ["root", "surfaceId"] + }, + "surfaceUpdate": { + "type": "object", + "description": "Updates a surface with a new set of components.", + "properties": { + "surfaceId": { + "type": "string", + "description": "The unique identifier for the UI surface to be updated. If you are adding a new surface this *must* be a new, unique identified that has never been used for any existing surfaces shown." + }, + "components": { + "type": "array", + "description": "A list containing all UI components for the surface.", + "minItems": 1, + "items": { + "type": "object", + "description": "Represents a *single* component in a UI widget tree. This component could be one of many supported types.", + "properties": { + "id": { + "type": "string", + "description": "The unique identifier for this component." + }, + "weight": { + "type": "number", + "description": "The relative weight of this component within a Row or Column. This corresponds to the CSS 'flex-grow' property. Note: this may ONLY be set when the component is a direct descendant of a Row or Column." + }, + "component": { + "type": "object", + "description": "A wrapper object that MUST contain exactly one key, which is the name of the component type (e.g., 'Heading'). The value is an object containing the properties for that specific component.", + "properties": { + "Text": { + "type": "object", + "properties": { + "text": { + "type": "object", + "description": "The text content to display. This can be a literal string or a reference to a value in the data model ('path', e.g., '/doc/title'). While simple Markdown formatting is supported (i.e. without HTML, images, or links), utilizing dedicated UI components is generally preferred for a richer and more structured presentation.", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + }, + "usageHint": { + "type": "string", + "description": "A hint for the base text style. One of:\n- `h1`: Largest heading.\n- `h2`: Second largest heading.\n- `h3`: Third largest heading.\n- `h4`: Fourth largest heading.\n- `h5`: Fifth largest heading.\n- `caption`: Small text for captions.\n- `body`: Standard body text.", + "enum": [ + "h1", + "h2", + "h3", + "h4", + "h5", + "caption", + "body" + ] + } + }, + "required": ["text"] + }, + "Image": { + "type": "object", + "properties": { + "url": { + "type": "object", + "description": "The URL of the image to display. This can be a literal string ('literal') or a reference to a value in the data model ('path', e.g. '/thumbnail/url').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + }, + "fit": { + "type": "string", + "description": "Specifies how the image should be resized to fit its container. This corresponds to the CSS 'object-fit' property.", + "enum": [ + "contain", + "cover", + "fill", + "none", + "scale-down" + ] + }, + "usageHint": { + "type": "string", + "description": "A hint for the image size and style. One of:\n- `icon`: Small square icon.\n- `avatar`: Circular avatar image.\n- `smallFeature`: Small feature image.\n- `mediumFeature`: Medium feature image.\n- `largeFeature`: Large feature image.\n- `header`: Full-width, full bleed, header image.", + "enum": [ + "icon", + "avatar", + "smallFeature", + "mediumFeature", + "largeFeature", + "header" + ] + } + }, + "required": ["url"] + }, + "Icon": { + "type": "object", + "properties": { + "name": { + "type": "object", + "description": "The name of the icon to display. This can be a literal string or a reference to a value in the data model ('path', e.g. '/form/submit').", + "properties": { + "literalString": { + "type": "string", + "enum": [ + "accountCircle", + "add", + "arrowBack", + "arrowForward", + "attachFile", + "calendarToday", + "call", + "camera", + "check", + "close", + "delete", + "download", + "edit", + "event", + "error", + "favorite", + "favoriteOff", + "folder", + "help", + "home", + "info", + "locationOn", + "lock", + "lockOpen", + "mail", + "menu", + "moreVert", + "moreHoriz", + "notificationsOff", + "notifications", + "payment", + "person", + "phone", + "photo", + "print", + "refresh", + "search", + "send", + "settings", + "share", + "shoppingCart", + "star", + "starHalf", + "starOff", + "upload", + "visibility", + "visibilityOff", + "warning" + ] + }, + "path": { + "type": "string" + } + } + } + }, + "required": ["name"] + }, + "Video": { + "type": "object", + "properties": { + "url": { + "type": "object", + "description": "The URL of the video to display. This can be a literal string or a reference to a value in the data model ('path', e.g. '/video/url').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + } + }, + "required": ["url"] + }, + "AudioPlayer": { + "type": "object", + "properties": { + "url": { + "type": "object", + "description": "The URL of the audio to be played. This can be a literal string ('literal') or a reference to a value in the data model ('path', e.g. '/song/url').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + }, + "description": { + "type": "object", + "description": "A description of the audio, such as a title or summary. This can be a literal string or a reference to a value in the data model ('path', e.g. '/song/title').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + } + }, + "required": ["url"] + }, + "Row": { + "type": "object", + "properties": { + "children": { + "type": "object", + "description": "Defines the children. Use 'explicitList' for a fixed set of children, or 'template' to generate children from a data list.", + "properties": { + "explicitList": { + "type": "array", + "items": { + "type": "string" + } + }, + "template": { + "type": "object", + "description": "A template for generating a dynamic list of children from a data model list. `componentId` is the component to use as a template, and `dataBinding` is the path to the map of components in the data model. Values in the map will define the list of children.", + "properties": { + "componentId": { + "type": "string" + }, + "dataBinding": { + "type": "string" + } + }, + "required": ["componentId", "dataBinding"] + } + } + }, + "distribution": { + "type": "string", + "description": "Defines the arrangement of children along the main axis (horizontally). This corresponds to the CSS 'justify-content' property.", + "enum": [ + "center", + "end", + "spaceAround", + "spaceBetween", + "spaceEvenly", + "start" + ] + }, + "alignment": { + "type": "string", + "description": "Defines the alignment of children along the cross axis (vertically). This corresponds to the CSS 'align-items' property.", + "enum": ["start", "center", "end", "stretch"] + } + }, + "required": ["children"] + }, + "Column": { + "type": "object", + "properties": { + "children": { + "type": "object", + "description": "Defines the children. Use 'explicitList' for a fixed set of children, or 'template' to generate children from a data list.", + "properties": { + "explicitList": { + "type": "array", + "items": { + "type": "string" + } + }, + "template": { + "type": "object", + "description": "A template for generating a dynamic list of children from a data model list. `componentId` is the component to use as a template, and `dataBinding` is the path to the map of components in the data model. Values in the map will define the list of children.", + "properties": { + "componentId": { + "type": "string" + }, + "dataBinding": { + "type": "string" + } + }, + "required": ["componentId", "dataBinding"] + } + } + }, + "distribution": { + "type": "string", + "description": "Defines the arrangement of children along the main axis (vertically). This corresponds to the CSS 'justify-content' property.", + "enum": [ + "start", + "center", + "end", + "spaceBetween", + "spaceAround", + "spaceEvenly" + ] + }, + "alignment": { + "type": "string", + "description": "Defines the alignment of children along the cross axis (horizontally). This corresponds to the CSS 'align-items' property.", + "enum": ["center", "end", "start", "stretch"] + } + }, + "required": ["children"] + }, + "List": { + "type": "object", + "properties": { + "children": { + "type": "object", + "description": "Defines the children. Use 'explicitList' for a fixed set of children, or 'template' to generate children from a data list.", + "properties": { + "explicitList": { + "type": "array", + "items": { + "type": "string" + } + }, + "template": { + "type": "object", + "description": "A template for generating a dynamic list of children from a data model list. `componentId` is the component to use as a template, and `dataBinding` is the path to the map of components in the data model. Values in the map will define the list of children.", + "properties": { + "componentId": { + "type": "string" + }, + "dataBinding": { + "type": "string" + } + }, + "required": ["componentId", "dataBinding"] + } + } + }, + "direction": { + "type": "string", + "description": "The direction in which the list items are laid out.", + "enum": ["vertical", "horizontal"] + }, + "alignment": { + "type": "string", + "description": "Defines the alignment of children along the cross axis.", + "enum": ["start", "center", "end", "stretch"] + } + }, + "required": ["children"] + }, + "Card": { + "type": "object", + "properties": { + "child": { + "type": "string", + "description": "The ID of the component to be rendered inside the card." + } + }, + "required": ["child"] + }, + "Tabs": { + "type": "object", + "properties": { + "tabItems": { + "type": "array", + "description": "An array of objects, where each object defines a tab with a title and a child component.", + "items": { + "type": "object", + "properties": { + "title": { + "type": "object", + "description": "The tab title. Defines the value as either a literal value or a path to data model value (e.g. '/options/title').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + }, + "child": { + "type": "string" + } + }, + "required": ["title", "child"] + } + } + }, + "required": ["tabItems"] + }, + "Divider": { + "type": "object", + "properties": { + "axis": { + "type": "string", + "description": "The orientation of the divider.", + "enum": ["horizontal", "vertical"] + } + } + }, + "Modal": { + "type": "object", + "properties": { + "entryPointChild": { + "type": "string", + "description": "The ID of the component that opens the modal when interacted with (e.g., a button)." + }, + "contentChild": { + "type": "string", + "description": "The ID of the component to be displayed inside the modal." + } + }, + "required": ["entryPointChild", "contentChild"] + }, + "Button": { + "type": "object", + "properties": { + "child": { + "type": "string", + "description": "The ID of the component to display in the button, typically a Text component." + }, + "primary": { + "type": "boolean", + "description": "Indicates if this button should be styled as the primary action." + }, + "action": { + "type": "object", + "description": "The client-side action to be dispatched when the button is clicked. It includes the action's name and an optional context payload.", + "properties": { + "name": { + "type": "string" + }, + "context": { + "type": "array", + "items": { + "type": "object", + "properties": { + "key": { + "type": "string" + }, + "value": { + "type": "object", + "description": "Defines the value to be included in the context as either a literal value or a path to a data model value (e.g. '/user/name').", + "properties": { + "path": { + "type": "string" + }, + "literalString": { + "type": "string" + }, + "literalNumber": { + "type": "number" + }, + "literalBoolean": { + "type": "boolean" + } + } + } + }, + "required": ["key", "value"] + } + } + }, + "required": ["name"] + } + }, + "required": ["child", "action"] + }, + "CheckBox": { + "type": "object", + "properties": { + "label": { + "type": "object", + "description": "The text to display next to the checkbox. Defines the value as either a literal value or a path to data model ('path', e.g. '/option/label').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + }, + "value": { + "type": "object", + "description": "The current state of the checkbox (true for checked, false for unchecked). This can be a literal boolean ('literalBoolean') or a reference to a value in the data model ('path', e.g. '/filter/open').", + "properties": { + "literalBoolean": { + "type": "boolean" + }, + "path": { + "type": "string" + } + } + } + }, + "required": ["label", "value"] + }, + "TextField": { + "type": "object", + "properties": { + "label": { + "type": "object", + "description": "The text label for the input field. This can be a literal string or a reference to a value in the data model ('path, e.g. '/user/name').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + }, + "text": { + "type": "object", + "description": "The value of the text field. This can be a literal string or a reference to a value in the data model ('path', e.g. '/user/name').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + }, + "textFieldType": { + "type": "string", + "description": "The type of input field to display.", + "enum": [ + "date", + "longText", + "number", + "shortText", + "obscured" + ] + }, + "validationRegexp": { + "type": "string", + "description": "A regular expression used for client-side validation of the input." + } + }, + "required": ["label"] + }, + "DateTimeInput": { + "type": "object", + "properties": { + "value": { + "type": "object", + "description": "The selected date and/or time value in ISO 8601 format. This can be a literal string ('literalString') or a reference to a value in the data model ('path', e.g. '/user/dob').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + }, + "enableDate": { + "type": "boolean", + "description": "If true, allows the user to select a date." + }, + "enableTime": { + "type": "boolean", + "description": "If true, allows the user to select a time." + } + }, + "required": ["value"] + }, + "MultipleChoice": { + "type": "object", + "properties": { + "selections": { + "type": "object", + "description": "The currently selected values for the component. This can be a literal array of strings or a path to an array in the data model('path', e.g. '/hotel/options').", + "properties": { + "literalArray": { + "type": "array", + "items": { + "type": "string" + } + }, + "path": { + "type": "string" + } + } + }, + "options": { + "type": "array", + "description": "An array of available options for the user to choose from.", + "items": { + "type": "object", + "properties": { + "label": { + "type": "object", + "description": "The text to display for this option. This can be a literal string or a reference to a value in the data model (e.g. '/option/label').", + "properties": { + "literalString": { + "type": "string" + }, + "path": { + "type": "string" + } + } + }, + "value": { + "type": "string", + "description": "The value to be associated with this option when selected." + } + }, + "required": ["label", "value"] + } + }, + "maxAllowedSelections": { + "type": "integer", + "description": "The maximum number of options that the user is allowed to select." + } + }, + "required": ["selections", "options"] + }, + "Slider": { + "type": "object", + "properties": { + "value": { + "type": "object", + "description": "The current value of the slider. This can be a literal number ('literalNumber') or a reference to a value in the data model ('path', e.g. '/restaurant/cost').", + "properties": { + "literalNumber": { + "type": "number" + }, + "path": { + "type": "string" + } + } + }, + "minValue": { + "type": "number", + "description": "The minimum value of the slider." + }, + "maxValue": { + "type": "number", + "description": "The maximum value of the slider." + } + }, + "required": ["value"] + } + } + } + }, + "required": ["id", "component"] + } + } + }, + "required": ["surfaceId", "components"] + }, + "dataModelUpdate": { + "type": "object", + "description": "Updates the data model for a surface.", + "properties": { + "surfaceId": { + "type": "string", + "description": "The unique identifier for the UI surface this data model update applies to." + }, + "path": { + "type": "string", + "description": "An optional path to a location within the data model (e.g., '/user/name'). If omitted, or set to '/', the entire data model will be replaced." + }, + "contents": { + "type": "array", + "description": "An array of data entries. Each entry must contain a 'key' and exactly one corresponding typed 'value*' property.", + "items": { + "type": "object", + "description": "A single data entry. Exactly one 'value*' property should be provided alongside the key.", + "properties": { + "key": { + "type": "string", + "description": "The key for this data entry." + }, + "valueString": { + "type": "string" + }, + "valueNumber": { + "type": "number" + }, + "valueBoolean": { + "type": "boolean" + }, + "valueMap": { + "description": "Represents a map as an adjacency list.", + "type": "array", + "items": { + "type": "object", + "description": "One entry in the map. Exactly one 'value*' property should be provided alongside the key.", + "properties": { + "key": { + "type": "string" + }, + "valueString": { + "type": "string" + }, + "valueNumber": { + "type": "number" + }, + "valueBoolean": { + "type": "boolean" + } + }, + "required": ["key"] + } + } + }, + "required": ["key"] + } + } + }, + "required": ["contents", "surfaceId"] + }, + "deleteSurface": { + "type": "object", + "description": "Signals the client to delete the surface identified by 'surfaceId'.", + "properties": { + "surfaceId": { + "type": "string", + "description": "The unique identifier for the UI surface to be deleted." + } + }, + "required": ["surfaceId"] + } + } +} +''' + +from a2ui_examples import RESTAURANT_UI_EXAMPLES + + +def get_ui_prompt(base_url: str, examples: str) -> str: + """ + Constructs the full prompt with UI instructions, rules, examples, and schema. + + Args: + base_url: The base URL for resolving static assets like logos. + examples: A string containing the specific UI examples for the agent's task. + + Returns: + A formatted string to be used as the system prompt for the LLM. + """ + # The f-string substitution for base_url happens here, at runtime. + formatted_examples = examples.format(base_url=base_url) + + return f""" + You are a helpful restaurant finding assistant. Your final output MUST be a a2ui UI JSON response. + + To generate the response, you MUST follow these rules: + 1. Your response MUST be in two parts, separated by the delimiter: `---a2ui_JSON---`. + 2. The first part is your conversational text response. + 3. The second part is a single, raw JSON object which is a list of A2UI messages. + 4. The JSON part MUST validate against the A2UI JSON SCHEMA provided below. + 5. CRITICAL: You MUST output valid standard JSON. Do NOT use single quotes for keys. Do NOT use trailing commas. ALL property names MUST be enclosed in double quotes (e.g., "weight": 1, NOT weight: 1). + + --- UI TEMPLATE RULES --- + - If the query is for a list of restaurants, use the restaurant data you have already received from the `get_restaurants` tool to populate the `dataModelUpdate.contents` array (e.g., as a `valueMap` for the "items" key). + - If the number of restaurants is 5 or fewer, you MUST use the `SINGLE_COLUMN_LIST_EXAMPLE` template. + - If the number of restaurants is more than 5, you MUST use the `TWO_COLUMN_LIST_EXAMPLE` template. + - If the query is to book a restaurant (e.g., "USER_WANTS_TO_BOOK..."), you MUST use the `BOOKING_FORM_EXAMPLE` template. + - If the query is a booking submission (e.g., "User submitted a booking..."), you MUST use the `CONFIRMATION_EXAMPLE` template. + + {formatted_examples} + + ---BEGIN A2UI JSON SCHEMA--- + {A2UI_SCHEMA} + ---END A2UI JSON SCHEMA--- + """ + + +def get_text_prompt() -> str: + """ + Constructs the prompt for a text-only agent. + """ + return """ + You are a helpful restaurant finding assistant. Your final output MUST be a text response. + + To generate the response, you MUST follow these rules: + 1. **For finding restaurants:** + a. You MUST call the `get_restaurants` tool. Extract the cuisine, location, and a specific number (`count`) of restaurants from the user's query. + b. After receiving the data, format the restaurant list as a clear, human-readable text response. You MUST preserve any markdown formatting (like for links) that you receive from the tool. + + 2. **For booking a table (when you receive a query like 'USER_WANTS_TO_BOOK...'):** + a. Respond by asking the user for the necessary details to make a booking (party size, date, time, dietary requirements). + + 3. **For confirming a booking (when you receive a query like 'User submitted a booking...'):** + a. Respond with a simple text confirmation of the booking details. + """ + + +if __name__ == "__main__": + # Example of how to use the prompt builder + # In your actual application, you would call this from your main agent logic. + my_base_url = "http://localhost:8000" + + # You can now easily construct a prompt with the relevant examples. + # For a different agent (e.g., a flight booker), you would pass in + # different examples but use the same `get_ui_prompt` function. + restaurant_prompt = get_ui_prompt(my_base_url, RESTAURANT_UI_EXAMPLES) + + print(restaurant_prompt) + + # This demonstrates how you could save the prompt to a file for inspection + with open("generated_prompt.txt", "w") as f: + f.write(restaurant_prompt) + print("\nGenerated prompt saved to generated_prompt.txt") diff --git a/samples/agent/langgraph/restaurant_finder/pyproject.toml b/samples/agent/langgraph/restaurant_finder/pyproject.toml new file mode 100644 index 00000000..bfe9db02 --- /dev/null +++ b/samples/agent/langgraph/restaurant_finder/pyproject.toml @@ -0,0 +1,36 @@ +[project] +name = "a2ui-restaurant-finder-langgraph" +version = "0.1.0" +description = "Sample LangGraph-based Restaurant finder agent that uses a2ui UI." +readme = "README.md" +requires-python = ">=3.13" +dependencies = [ + "langgraph", + "langchain", + "langchain-google-genai", + "a2a-sdk>=0.3.0", + "click>=8.1.8", + "google-adk>=1.8.0", + "python-dotenv>=1.1.0", + "jsonschema>=4.0.0", + "a2ui", + "uvicorn", + "starlette", +] + +[tool.hatch.build.targets.wheel] +packages = ["."] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.metadata] +allow-direct-references = true + +[[tool.uv.index]] +url = "https://pypi.org/simple" +default = true + +[tool.uv.sources] +a2ui = { path = "../../../../a2a_agents/python/a2ui_extension", editable = true } diff --git a/samples/agent/langgraph/restaurant_finder/restaurant_data.json b/samples/agent/langgraph/restaurant_finder/restaurant_data.json new file mode 100644 index 00000000..37113121 --- /dev/null +++ b/samples/agent/langgraph/restaurant_finder/restaurant_data.json @@ -0,0 +1,66 @@ +[ + { + "name": "Xi'an Famous Foods", + "detail": "Spicy and savory hand-pulled noodles.", + "imageUrl": "http://localhost:10002/static/shrimpchowmein.jpeg", + "rating": "★★★★☆", + "infoLink": "[More Info](https://www.xianfoods.com/)", + "address": "81 St Marks Pl, New York, NY 10003" + }, + { + "name": "Han Dynasty", + "detail": "Authentic Szechuan cuisine.", + "imageUrl": "http://localhost:10002/static/mapotofu.jpeg", + "rating": "★★★★☆", + "infoLink": "[More Info](https://www.handynasty.net/)", + "address": "90 3rd Ave, New York, NY 10003" + }, + { + "name": "RedFarm", + "detail": "Modern Chinese with a farm-to-table approach.", + "imageUrl": "http://localhost:10002/static/beefbroccoli.jpeg", + "rating": "★★★★☆", + "infoLink": "[More Info](https://www.redfarmnyc.com/)", + "address": "529 Hudson St, New York, NY 10014" + }, + { + "name": "Mott 32", + "detail": "Upscale Cantonese dining.", + "imageUrl": "http://localhost:10002/static/springrolls.jpeg", + "rating": "★★★★★", + "infoLink": "[More Info](https://mott32.com/newyork/)", + "address": "111 W 57th St, New York, NY 10019" + }, + { + "name": "Hwa Yuan Szechuan", + "detail": "Famous for its cold noodles with sesame sauce.", + "imageUrl": "http://localhost:10002/static/kungpao.jpeg", + "rating": "★★★★☆", + "infoLink": "[More Info](https://hwayuannyc.com/)", + "address": "40 E Broadway, New York, NY 10002" + }, + { + "name": "Cafe China", + "detail": "Szechuan food in a 1930s Shanghai setting.", + "imageUrl": "http://localhost:10002/static/mapotofu.jpeg", + "rating": "★★★★☆", + "infoLink": "[More Info](https://www.cafechinanyc.com/)", + "address": "59 W 37th St, New York, NY 10018" + }, + { + "name": "Philippe Chow", + "detail": "High-end Beijing-style cuisine.", + "imageUrl": "http://localhost:10002/static/beefbroccoli.jpeg", + "rating": "★★★★☆", + "infoLink": "[More Info](https://www.philippechow.com/)", + "address": "33 E 60th St, New York, NY 10022" + }, + { + "name": "Chinese Tuxedo", + "detail": "Contemporary Chinese in a former opera house.", + "imageUrl": "http://localhost:10002/static/mapotofu.jpeg", + "rating": "★★★★☆", + "infoLink": "[More Info](https://chinesetuxedo.com/)", + "address": "5 Doyers St, New York, NY 10013" + } +] \ No newline at end of file diff --git a/samples/agent/langgraph/restaurant_finder/tools.py b/samples/agent/langgraph/restaurant_finder/tools.py new file mode 100644 index 00000000..6a6dd453 --- /dev/null +++ b/samples/agent/langgraph/restaurant_finder/tools.py @@ -0,0 +1,55 @@ +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import logging +import os + +from google.adk.tools.tool_context import ToolContext + +logger = logging.getLogger(__name__) + + +def get_restaurants(cuisine: str, location: str, tool_context: ToolContext, count: int = 5) -> str: + """Call this tool to get a list of restaurants based on a cuisine and location. + 'count' is the number of restaurants to return. + """ + logger.info(f"--- TOOL CALLED: get_restaurants (count: {count}) ---") + logger.info(f" - Cuisine: {cuisine}") + logger.info(f" - Location: {location}") + + items = [] + if "new york" in location.lower() or "ny" in location.lower(): + try: + script_dir = os.path.dirname(__file__) + file_path = os.path.join(script_dir, "restaurant_data.json") + with open(file_path) as f: + restaurant_data_str = f.read() + if base_url := tool_context.state.get("base_url"): + restaurant_data_str = restaurant_data_str.replace("http://localhost:10002", base_url) + logger.info(f'Updated base URL from tool context: {base_url}') + all_items = json.loads(restaurant_data_str) + + # Slice the list to return only the requested number of items + items = all_items[:count] + logger.info( + f" - Success: Found {len(all_items)} restaurants, returning {len(items)}." + ) + + except FileNotFoundError: + logger.error(f" - Error: restaurant_data.json not found at {file_path}") + except json.JSONDecodeError: + logger.error(f" - Error: Failed to decode JSON from {file_path}") + + return json.dumps(items) diff --git a/samples/agent/langgraph/restaurant_finder/uv.lock b/samples/agent/langgraph/restaurant_finder/uv.lock new file mode 100644 index 00000000..c0b60150 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