diff --git a/.github/actions/spelling/allow.txt b/.github/actions/spelling/allow.txt index 8e922ba9..7ab2eea2 100644 --- a/.github/actions/spelling/allow.txt +++ b/.github/actions/spelling/allow.txt @@ -5,6 +5,7 @@ ARequest ARun AServer AServers +ASGI AStarlette EUR GBP @@ -12,28 +13,48 @@ INR JPY JSONRPCt Llm +Nominatim +WEA aconnect adk agentic +ainvoke +airbnb +asgi autouse +bnb cla cls coc codegen +codelabs coro datamodel dunders +fastmcp genai +geolocator gle +gridpoint +htmlcov inmemory +ipynb kwarg langgraph lifecycles linting +llm +mcp +nominatim +nosetests +npx oauthoidc +openbnb opensource pyversions socio sse tagwords +uvx vulnz +webassets diff --git a/examples/a2a-adk-app/.python-version b/examples/a2a-adk-app/.python-version new file mode 100644 index 00000000..24ee5b1b --- /dev/null +++ b/examples/a2a-adk-app/.python-version @@ -0,0 +1 @@ +3.13 diff --git a/examples/a2a-adk-app/README.md b/examples/a2a-adk-app/README.md new file mode 100644 index 00000000..5fc62c1c --- /dev/null +++ b/examples/a2a-adk-app/README.md @@ -0,0 +1,91 @@ +# Build Agents using A2A SDK +---- +> *⚠️ DISCLAIMER: THIS DEMO IS INTENDED FOR DEMONSTRATION PURPOSES ONLY. IT IS NOT INTENDED FOR USE IN A PRODUCTION ENVIRONMENT.* + +> *⚠️ Important: A2A is a work in progress (WIP) thus, in the near future there might be changes that are different from what demonstrated here.* +---- + +This document describes a web application demonstrating the integration of Google's Agent to Agent (A2A), Agent Development Kit (ADK) for multi-agent orchestration with Model Context Protocol (MCP) clients. The application features a host agent coordinating tasks between remote agents that interact with various MCP servers to fulfill user requests. + +### Architecture + +The application utilizes a multi-agent architecture where a host agent delegates tasks to remote agents (Airbnb and Weather) based on the user's query. These agents then interact with corresponding MCP servers. + +![architecture](assets/A2A_multi_agent.png) + +### App UI +![screenshot](assets/screenshot.png) + + +## Setup and Deployment + +### Prerequisites + +Before running the application locally, ensure you have the following installed: + +1. **Node.js:** Required to run the Airbnb MCP server (if testing its functionality locally). +2. **uv:** The Python package management tool used in this project. Follow the installation guide: [https://docs.astral.sh/uv/getting-started/installation/](https://docs.astral.sh/uv/getting-started/installation/) +3. **python 3.13** Python 3.13 is required to run a2a-sdk +4. **set up .env** + + +- create .env file in `airbnb_agent` and `weather_agent`folder with the following content +```bash +GOOGLE_API_KEY="your_api_key_here" +``` + +- create .env file in `host_agent/adk_agent`folder with the following content: + +```bash +GOOGLE_GENAI_USE_VERTEXAI=TRUE +GOOGLE_CLOUD_PROJECT="your project" +GOOGLE_CLOUD_LOCATION=us-central1 +AIR_AGENT_URL=http://localhost:10002 +WEA_AGENT_URL=http://localhost:10001 +``` + +## Install SDK +Go to `a2a-adk-app` folder in terminal: +```bash +uv sync +``` + + +## 1. Run Airbnb server + +Run Remote server + +```bash +cd airbnb_agent +uv run . +``` + +## 2. Run Weather server +Open a new terminal, go to `a2a-adk-app` folder run the server + +```bash +cd weather_agent +uv run . +``` + +## 3. Run Host Agent +Open a new terminal, go to `a2a-adk-app` folder run the server + +```bash +cd host_agent +uv run app.py +``` + + +## 4. Test at the UI + +Here are example questions: + +- "Tell me about weather in LA, CA" + +- "Please find a room in LA, CA, June 20-25, 2025, two adults" + +## References +- https://github.com/google/a2a-python +- https://codelabs.developers.google.com/intro-a2a-purchasing-concierge#1 +- https://google.github.io/adk-docs/ diff --git a/examples/a2a-adk-app/airbnb_agent/.env.example b/examples/a2a-adk-app/airbnb_agent/.env.example new file mode 100644 index 00000000..9c0cafc0 --- /dev/null +++ b/examples/a2a-adk-app/airbnb_agent/.env.example @@ -0,0 +1,6 @@ +GOOGLE_API_KEY="your key" +GOOGLE_GENAI_USE_VERTEXAI=True + +# Vertex AI backend config +GOOGLE_CLOUD_PROJECT="your project id" +GOOGLE_CLOUD_LOCATION="us-central1" \ No newline at end of file diff --git a/examples/a2a-adk-app/airbnb_agent/README.md b/examples/a2a-adk-app/airbnb_agent/README.md new file mode 100644 index 00000000..5c0236d9 --- /dev/null +++ b/examples/a2a-adk-app/airbnb_agent/README.md @@ -0,0 +1,13 @@ +# Remote agent built by LangGraph + +## Getting started + +1. Create an environment file with your API key: + ```bash + echo "GOOGLE_API_KEY=your_api_key_here" > .env + ``` + +2. Start the server + ```bash + uv run . + ``` diff --git a/examples/a2a-adk-app/airbnb_agent/__main__.py b/examples/a2a-adk-app/airbnb_agent/__main__.py new file mode 100644 index 00000000..bb04038e --- /dev/null +++ b/examples/a2a-adk-app/airbnb_agent/__main__.py @@ -0,0 +1,200 @@ +import os +import sys +from typing import Dict, Any, List +import asyncio +from contextlib import asynccontextmanager + +import click +import uvicorn + +from agent import AirbnbAgent +from agent_executor import AirbnbAgentExecutor +from dotenv import load_dotenv + +from a2a.server.apps import A2AStarletteApplication +from a2a.server.request_handlers import DefaultRequestHandler +from a2a.types import ( + AgentCapabilities, + AgentCard, + AgentSkill, +) +from a2a.server.tasks import InMemoryTaskStore +from langchain_mcp_adapters.client import MultiServerMCPClient + +load_dotenv(override=True) + +SERVER_CONFIGS = { + "bnb": { + "command": "npx", + "args": ["-y", "@openbnb/mcp-server-airbnb", "--ignore-robots-txt"], + "transport": "stdio", + }, +} + +app_context: Dict[str, Any] = {} + + +@asynccontextmanager +async def app_lifespan(context: Dict[str, Any]): + """Manages the lifecycle of shared resources like the MCP client and tools.""" + print("Lifespan: Initializing MCP client and tools...") + + # This variable will hold the MultiServerMCPClient instance + mcp_client_instance: MultiServerMCPClient | None = None + + try: + # Following Option 1 from the error message for MultiServerMCPClient initialization: + # 1. client = MultiServerMCPClient(...) + mcp_client_instance = MultiServerMCPClient(SERVER_CONFIGS) + mcp_tools = await mcp_client_instance.get_tools() + context["mcp_tools"] = mcp_tools + + tool_count = len(mcp_tools) if mcp_tools else 0 + print(f"Lifespan: MCP Tools preloaded successfully ({tool_count} tools found).") + yield # Application runs here + except Exception as e: + print(f"Lifespan: Error during initialization: {e}", file=sys.stderr) + # If an exception occurs, mcp_client_instance might exist and need cleanup. + # The finally block below will handle this. + raise + finally: + print("Lifespan: Shutting down MCP client...") + if ( + mcp_client_instance + ): # Check if the MultiServerMCPClient instance was created + # The original code called __aexit__ on the MultiServerMCPClient instance + # (which was mcp_client_manager). We assume this is still the correct cleanup method. + if hasattr(mcp_client_instance, "__aexit__"): + try: + print( + f"Lifespan: Calling __aexit__ on {type(mcp_client_instance).__name__} instance..." + ) + await mcp_client_instance.__aexit__(None, None, None) + print("Lifespan: MCP Client resources released via __aexit__.") + except Exception as e: + print( + f"Lifespan: Error during MCP client __aexit__: {e}", + file=sys.stderr, + ) + else: + # This would be unexpected if only the context manager usage changed. + # Log an error as this could lead to resource leaks. + print( + f"Lifespan: CRITICAL - {type(mcp_client_instance).__name__} instance does not have __aexit__ method for cleanup. Resource leak possible.", + file=sys.stderr, + ) + else: + # This case means MultiServerMCPClient() constructor likely failed or was not reached. + print( + "Lifespan: MCP Client instance was not created, no shutdown attempt via __aexit__." + ) + + # Clear the application context as in the original code. + print("Lifespan: Clearing application context.") + context.clear() + + +@click.command() +@click.option( + "--host", "host", default="localhost", help="Hostname to bind the server to." +) +@click.option( + "--port", "port", default=10002, type=int, help="Port to bind the server to." +) +@click.option("--log-level", "log_level", default="info", help="Uvicorn log level.") +def cli_main(host: str, port: int, log_level: str): + """Command Line Interface to start the Airbnb Agent server.""" + if not os.getenv("GOOGLE_API_KEY"): + print("GOOGLE_API_KEY environment variable not set.", file=sys.stderr) + sys.exit(1) + + async def run_server_async(): + async with app_lifespan(app_context): + if not app_context.get("mcp_tools"): + print( + "Warning: MCP tools were not loaded. Agent may not function correctly.", + file=sys.stderr, + ) + # Depending on requirements, you could sys.exit(1) here + + # Initialize AirbnbAgentExecutor with preloaded tools + airbnb_agent_executor = AirbnbAgentExecutor( + mcp_tools=app_context.get("mcp_tools", []) + ) + + request_handler = DefaultRequestHandler( + agent_executor=airbnb_agent_executor, + task_store=InMemoryTaskStore(), + ) + + # Create the A2AServer instance + a2a_server = A2AStarletteApplication( + agent_card=get_agent_card(host, port), http_handler=request_handler + ) + + # Get the ASGI app from the A2AServer instance + asgi_app = a2a_server.build() + + config = uvicorn.Config( + app=asgi_app, + host=host, + port=port, + log_level=log_level.lower(), + lifespan="auto", + ) + + uvicorn_server = uvicorn.Server(config) + + print( + f"Starting Uvicorn server at http://{host}:{port} with log-level {log_level}..." + ) + try: + await uvicorn_server.serve() + except KeyboardInterrupt: + print("Server shutdown requested (KeyboardInterrupt).") + finally: + print("Uvicorn server has stopped.") + # The app_lifespan's finally block handles mcp_client shutdown + + try: + asyncio.run(run_server_async()) + except RuntimeError as e: + if "cannot be called from a running event loop" in str(e): + print( + "Critical Error: Attempted to nest asyncio.run(). This should have been prevented.", + file=sys.stderr, + ) + else: + print(f"RuntimeError in cli_main: {e}", file=sys.stderr) + sys.exit(1) + except Exception as e: + print(f"An unexpected error occurred in cli_main: {e}", file=sys.stderr) + sys.exit(1) + + +def get_agent_card(host: str, port: int): + """Returns the Agent Card for the Currency Agent.""" + capabilities = AgentCapabilities(streaming=True, pushNotifications=True) + skill = AgentSkill( + id="airbnb_search", + name="Search airbnb accommodation", + description="Helps with accommodation search using airbnb", + tags=["airbnb accommodation"], + examples=[ + "Please find a room in LA, CA, April 15, 2025, checkout date is april 18, 2 adults" + ], + ) + return AgentCard( + name="Airbnb Agent", + description="Helps with searching accommodation", + url=f"http://{host}:{port}/", + version="1.0.0", + defaultInputModes=AirbnbAgent.SUPPORTED_CONTENT_TYPES, + defaultOutputModes=AirbnbAgent.SUPPORTED_CONTENT_TYPES, + capabilities=capabilities, + skills=[skill], + ) + + +if __name__ == "__main__": + cli_main() diff --git a/examples/a2a-adk-app/airbnb_agent/agent.py b/examples/a2a-adk-app/airbnb_agent/agent.py new file mode 100644 index 00000000..695413b2 --- /dev/null +++ b/examples/a2a-adk-app/airbnb_agent/agent.py @@ -0,0 +1,363 @@ +import logging +import asyncio +from collections.abc import AsyncIterable +from typing import Any, Literal, List +import httpx +from langchain_core.messages import AIMessage, ToolMessage, AIMessageChunk +from langchain_core.runnables.config import ( + RunnableConfig, +) + +from langchain_google_genai import ChatGoogleGenerativeAI +from langgraph.checkpoint.memory import MemorySaver +from langgraph.prebuilt import create_react_agent +from pydantic import BaseModel + + +logger = logging.getLogger(__name__) +if not logger.hasHandlers(): + logging.basicConfig(level=logging.INFO) + +memory = MemorySaver() + + +class ResponseFormat(BaseModel): + """Respond to the user in this format.""" + + status: Literal["input_required", "completed", "error"] = "input_required" + message: str + + +class AirbnbAgent: + """Currency Conversion Agent Example.""" + + SYSTEM_INSTRUCTION = """You are a specialized assistant for Airbnb accommodations. Your primary function is to utilize the provided tools to search for Airbnb listings and answer related questions. You must rely exclusively on these tools for information; do not invent listings or prices. Ensure that your Markdown-formatted response includes all relevant tool output, with particular emphasis on providing direct links to listings""" + + RESPONSE_FORMAT_INSTRUCTION: str = ( + 'Select status as "completed" if the request is fully addressed and no further input is needed. ' + 'Select status as "input_required" if you need more information from the user or are asking a clarifying question. ' + 'Select status as "error" if an error occurred or the request cannot be fulfilled.' + ) + + SUPPORTED_CONTENT_TYPES = ["text", "text/plain"] + + def __init__(self, mcp_tools: List[Any]): # Modified to accept mcp_tools + """ + Initializes the Airbnb. + + Args: + mcp_tools: A list of preloaded MCP (Multi-Process Controller) tools. + """ + logger.info("Initializing AirbnbAgent with preloaded MCP tools...") + try: + # Using the model name from your provided file + self.model = ChatGoogleGenerativeAI(model="gemini-2.5-flash-preview-04-17") + logger.info("ChatGoogleGenerativeAI model initialized successfully.") + except Exception as e: + logger.error( + f"Failed to initialize ChatGoogleGenerativeAI model: {e}", exc_info=True + ) + raise + + self.mcp_tools = mcp_tools + if not self.mcp_tools: + logger.warning( + "AirbnbAgent initialized with no MCP tools. Weather search functionality may be limited." + ) + else: + logger.info( + f"AirbnbAgent initialized with {len(self.mcp_tools)} MCP tools." + ) + + async def ainvoke(self, query: str, sessionId: str) -> dict[str, Any]: + logger.info( + f"Airbnb.ainvoke (for Weather task) called with query: '{query}', sessionId: '{sessionId}'" + ) + if not isinstance(sessionId, str) or not sessionId: + logger.error( + f"Invalid sessionId received in ainvoke: '{sessionId}'. Must be a non-empty string." + ) + return { + "is_task_complete": True, + "require_user_input": False, + "content": "Internal error: Invalid session ID.", + } + try: + # Use preloaded self.mcp_tools directly + if not self.mcp_tools: + logger.error( + "No MCP tools available for Airbnb.ainvoke. Cannot perform weather search." + ) + return { + "is_task_complete": True, # Or False if you want to signal an error state differently + "require_user_input": False, + "content": "I'm sorry, but the weather tool is currently unavailable. Please try again later.", + } + logger.debug( + f"Using preloaded MCP Tools for Weather task: {len(self.mcp_tools)} tools." + ) + + weather_agent_runnable = create_react_agent( + self.model, + tools=self.mcp_tools, # Use preloaded tools + checkpointer=memory, + prompt=self.SYSTEM_INSTRUCTION, + response_format=(self.RESPONSE_FORMAT_INSTRUCTION, ResponseFormat), + ) + logger.debug( + "LangGraph React agent for Weather task created/configured with preloaded tools." + ) + + config: RunnableConfig = {"configurable": {"thread_id": sessionId}} + langgraph_input = {"messages": [("user", query)]} + + logger.debug( + f"Invoking Weather agent with input: {langgraph_input} and config: {config}" + ) + + await weather_agent_runnable.ainvoke(langgraph_input, config) + logger.debug( + "Weather agent ainvoke call completed. Fetching response from state..." + ) + + response = self._get_agent_response_from_state( + config, weather_agent_runnable + ) + logger.info( + f"Response from Weather agent state for session {sessionId}: {response}" + ) + return response + + except httpx.HTTPStatusError as http_err: + logger.error( + f"HTTPStatusError in Airbnb.ainvoke (Weather task): {http_err.response.status_code} - {http_err}", + exc_info=True, + ) + return { + "is_task_complete": True, + "require_user_input": False, + "content": f"An error occurred with an external service for Weather task: {http_err.response.status_code}", + } + except Exception as e: + logger.error( + f"Unhandled exception in AirbnbAgent.ainvoke (Weather task): {type(e).__name__} - {e}", + exc_info=True, + ) + # Consider whether to re-raise or return a structured error + return { + "is_task_complete": True, # Or False, marking task as errored + "require_user_input": False, + "content": f"An unexpected error occurred while processing your weather request: {type(e).__name__}.", + } + # Or re-raise if the executor should handle it: + # raise + + def _get_agent_response_from_state( + self, config: RunnableConfig, agent_runnable + ) -> dict[str, Any]: + """ + Retrieves and formats the agent's response from the state of the given agent_runnable. + """ + logger.debug( + f"Entering _get_agent_response_from_state for config: {config} using agent: {type(agent_runnable).__name__}" + ) + try: + if not hasattr(agent_runnable, "get_state"): + logger.error( + f"Agent runnable of type {type(agent_runnable).__name__} does not have get_state method." + ) + return { + "is_task_complete": True, + "require_user_input": False, + "content": "Internal error: Agent state retrieval misconfigured.", + } + + current_state_snapshot = agent_runnable.get_state(config) + # The line below caused an error in your original code because .values might not be a dict, + # but an object from which you access attributes like .values.messages. + # Let's be more careful accessing it. + state_values = getattr(current_state_snapshot, "values", None) + logger.debug( + f"Retrieved state snapshot values: {'Available' if state_values else 'Not available or None'}" + ) + + except Exception as e: + logger.error( + f"Error getting state from agent_runnable ({type(agent_runnable).__name__}): {e}", + exc_info=True, + ) + return { + "is_task_complete": True, + "require_user_input": False, + "content": "Error: Could not retrieve agent state.", + } + + if not state_values: + logger.error( + f"No state values found for config: {config} from agent {type(agent_runnable).__name__}" + ) + return { + "is_task_complete": True, + "require_user_input": False, + "content": "Error: Agent state is unavailable.", + } + + structured_response = ( + state_values.get("structured_response") + if isinstance(state_values, dict) + else getattr(state_values, "structured_response", None) + ) + + if structured_response and isinstance(structured_response, ResponseFormat): + logger.info( + f"Formatted response from structured_response: {structured_response}" + ) + if structured_response.status == "completed": + return { + "is_task_complete": True, + "require_user_input": False, + "content": structured_response.message, + } + # For 'input_required' or 'error', the task is not complete from user's perspective + # but might be from the agent's current turn. A2A handles task completion state. + return { + "is_task_complete": False, # Let A2A logic decide based on require_user_input + "require_user_input": structured_response.status == "input_required", + "content": structured_response.message, # This will be the error message if status is 'error' + } + + # Fallback if structured_response is not as expected + final_messages = ( + state_values.get("messages", []) + if isinstance(state_values, dict) + else getattr(state_values, "messages", []) + ) + + if final_messages and isinstance(final_messages[-1], AIMessage): + ai_content = final_messages[-1].content + if ( + isinstance(ai_content, str) and ai_content + ): # Ensure it's a non-empty string + logger.warning( + f"Structured response not found or not in ResponseFormat. Falling back to last AI message content for config {config}." + ) + return { + "is_task_complete": True, + "require_user_input": False, + "content": ai_content, + } + elif isinstance( + ai_content, list + ): # Handle cases where AIMessage content might be a list of parts (e.g. text and tool calls) + # Try to extract text content if it's a list of parts + text_parts = [ + part["text"] + for part in ai_content + if isinstance(part, dict) and part.get("type") == "text" + ] + if text_parts: + logger.warning( + f"Structured response not found. Falling back to concatenated text from last AI message parts for config {config}." + ) + return { + "is_task_complete": True, + "require_user_input": False, + "content": "\n".join(text_parts), + } + + logger.warning( + f"Structured response not found or not in expected format, and no suitable fallback AI message. State for config {config}: {state_values}" + ) + return { + "is_task_complete": False, + "require_user_input": True, # Default to needing input or signaling an issue + "content": "We are unable to process your request at the moment due to an unexpected response format. Please try again.", + } + + # stream method would also use self.mcp_tools if it similarly creates an agent instance + async def stream(self, query: str, sessionId: str) -> AsyncIterable[Any]: + logger.info( + f"AirbnbAgent.stream called with query: '{query}', sessionId: '{sessionId}'" + ) + if not isinstance(sessionId, str) or not sessionId: + logger.error(f"Invalid sessionId received in stream: '{sessionId}'.") + yield { + "is_task_complete": True, + "require_user_input": False, + "content": "Internal error: Invalid session ID.", + } + return + + if not self.mcp_tools: + logger.error("No MCP tools available for AirbnbAgent.stream.") + yield { + "is_task_complete": True, + "require_user_input": False, + "content": "The Airbnb search tool is currently unavailable for streaming.", + } + return + + logger.debug( + f"Using preloaded MCP Tools for Weather stream: {len(self.mcp_tools)} tools." + ) + agent_runnable = create_react_agent( + self.model, + tools=self.mcp_tools, # Use preloaded tools + checkpointer=memory, + prompt=self.SYSTEM_INSTRUCTION, + response_format=( + self.RESPONSE_FORMAT_INSTRUCTION, + ResponseFormat, + ), # Ensure final response can be structured + ) + config: RunnableConfig = {"configurable": {"thread_id": sessionId}} + langgraph_input = {"messages": [("user", query)]} + + logger.debug( + f"Streaming from Weather agent with input: {langgraph_input} and config: {config}" + ) + try: + async for chunk in agent_runnable.astream_events( + langgraph_input, config, version="v1" + ): + logger.debug(f"Stream chunk for {sessionId}: {chunk}") + event_name = chunk.get("event") + data = chunk.get("data", {}) + content_to_yield = None + + if event_name == "on_tool_start": + tool_name = data.get("name", "a tool") + # tool_input = data.get("input", {}) # Could be verbose + content_to_yield = f"Using tool: {tool_name}..." + elif event_name == "on_chat_model_stream": + message_chunk = data.get("chunk") + if ( + isinstance(message_chunk, AIMessageChunk) + and message_chunk.content + ): + content_to_yield = message_chunk.content + + if content_to_yield: + yield { + "is_task_complete": False, + "require_user_input": False, + "content": content_to_yield, + } + + # After all events, get the final structured response from the agent's state + final_response = self._get_agent_response_from_state(config, agent_runnable) + logger.info( + f"Final response from state after stream for session {sessionId}: {final_response}" + ) + yield final_response + + except Exception as e: + logger.error( + f"Error during AirbnbAgent.stream for session {sessionId}: {e}", + exc_info=True, + ) + yield { + "is_task_complete": True, # Stream ended due to error + "require_user_input": False, + "content": f"An error occurred during streaming: {getattr(e, 'message', str(e))}", + } diff --git a/examples/a2a-adk-app/airbnb_agent/agent_executor.py b/examples/a2a-adk-app/airbnb_agent/agent_executor.py new file mode 100644 index 00000000..b7169f12 --- /dev/null +++ b/examples/a2a-adk-app/airbnb_agent/agent_executor.py @@ -0,0 +1,112 @@ +from typing import Any, List + +import logging +from agent import AirbnbAgent + +from typing_extensions import override + +from a2a.server.agent_execution import AgentExecutor, RequestContext +from a2a.server.events.event_queue import EventQueue +from a2a.types import ( + TaskArtifactUpdateEvent, + TaskState, + TaskStatus, + TaskStatusUpdateEvent, +) +from a2a.utils import new_agent_text_message, new_task, new_text_artifact +from uuid import uuid4 + +logger = logging.getLogger(__name__) + + +class AirbnbAgentExecutor(AgentExecutor): + """AirbnbAgentExecutor that uses an agent with preloaded tools.""" + + def __init__(self, mcp_tools: List[Any]): + """ + Initializes the AirbnbAgentExecutor. + + Args: + mcp_tools: A list of preloaded MCP tools for the AirbnbAgent. + """ + super().__init__() + logger.info( + f"Initializing AirbnbAgentExecutor with {len(mcp_tools) if mcp_tools else 'no'} MCP tools." + ) + self.agent = AirbnbAgent(mcp_tools=mcp_tools) + + @override + async def execute( + self, + context: RequestContext, + event_queue: EventQueue, + ) -> None: + query = context.get_user_input() + task = context.current_task + + if not context.message: + raise Exception("No message provided") + + if not task: + task = new_task(context.message) + event_queue.enqueue_event(task) + # invoke the underlying agent, using streaming results + async for event in self.agent.stream(query, task.contextId): + if event["is_task_complete"]: + event_queue.enqueue_event( + TaskArtifactUpdateEvent( + append=False, + contextId=task.contextId, + taskId=task.id, + lastChunk=True, + artifact=new_text_artifact( + name="current_result", + description="Result of request to agent.", + text=event["content"], + ), + ) + ) + event_queue.enqueue_event( + TaskStatusUpdateEvent( + status=TaskStatus(state=TaskState.completed), + final=True, + contextId=task.contextId, + taskId=task.id, + ) + ) + elif event["require_user_input"]: + event_queue.enqueue_event( + TaskStatusUpdateEvent( + status=TaskStatus( + state=TaskState.input_required, + message=new_agent_text_message( + event["content"], + task.contextId, + task.id, + ), + ), + final=True, + contextId=task.contextId, + taskId=task.id, + ) + ) + else: + event_queue.enqueue_event( + TaskStatusUpdateEvent( + status=TaskStatus( + state=TaskState.working, + message=new_agent_text_message( + event["content"], + task.contextId, + task.id, + ), + ), + final=False, + contextId=task.contextId, + taskId=task.id, + ) + ) + + @override + async def cancel(self, context: RequestContext, event_queue: EventQueue) -> None: + raise Exception("cancel not supported") diff --git a/examples/a2a-adk-app/airbnb_agent/test_client.py b/examples/a2a-adk-app/airbnb_agent/test_client.py new file mode 100644 index 00000000..87a7c13a --- /dev/null +++ b/examples/a2a-adk-app/airbnb_agent/test_client.py @@ -0,0 +1,98 @@ +from typing import Any +from uuid import uuid4 + +import httpx + +from a2a.client import A2AClient +from a2a.types import ( + SendMessageResponse, + GetTaskResponse, + SendMessageSuccessResponse, + Task, + SendMessageRequest, + MessageSendParams, + GetTaskRequest, + TaskQueryParams, +) +import traceback + +AGENT_URL = "http://localhost:10002" + +def create_send_message_payload( + text: str, task_id: str | None = None, context_id: str | None = None +) -> dict[str, Any]: + """Helper function to create the payload for sending a task.""" + payload: dict[str, Any] = { + 'message': { + 'role': 'user', + 'parts': [{'kind': 'text', 'text': text}], + 'messageId': uuid4().hex, + }, + } + + if task_id: + payload['message']['taskId'] = task_id + + if context_id: + payload['message']['contextId'] = context_id + return payload + + +def print_json_response(response: Any, description: str) -> None: + """Helper function to print the JSON representation of a response.""" + print(f"--- {description} ---") + if hasattr(response, "root"): + print(f"{response.root.model_dump_json(exclude_none=True)}\n") + else: + print(f'{response.model_dump(mode="json", exclude_none=True)}\n') + + +async def run_single_turn_test(client: A2AClient) -> None: + """Runs a single-turn non-streaming test.""" + + send_payload = create_send_message_payload( + text='Please find a bedroom in new york city, June 15-20, 2025' + ) + request = SendMessageRequest(params=MessageSendParams(**send_payload)) + + print('--- Single Turn Request ---') + # Send Message + send_response: SendMessageResponse = await client.send_message(request) + print_json_response(send_response, 'Single Turn Request Response') + if not isinstance(send_response.root, SendMessageSuccessResponse): + print('received non-success response. Aborting get task ') + return + + if not isinstance(send_response.root.result, Task): + print('received non-task response. Aborting get task ') + return + + task_id: str = send_response.root.result.id + print('---Query Task---') + # query the task + get_request = GetTaskRequest(params=TaskQueryParams(id=task_id)) + get_response: GetTaskResponse = await client.get_task(get_request) + print_json_response(get_response, 'Query Task Response') + + +async def main() -> None: + """Main function to run the tests.""" + print(f'Connecting to agent at {AGENT_URL}...') + try: + async with httpx.AsyncClient(timeout=30) as httpx_client: + client = await A2AClient.get_client_from_agent_card_url( + httpx_client, AGENT_URL + ) + print('Connection successful.') + + await run_single_turn_test(client) + + except Exception as e: + traceback.print_exc() + print(f'An error occurred: {e}') + print('Ensure the agent server is running.') + +if __name__ == "__main__": + import asyncio + + asyncio.run(main()) diff --git a/examples/a2a-adk-app/assets/A2A_multi_agent.png b/examples/a2a-adk-app/assets/A2A_multi_agent.png new file mode 100644 index 00000000..c51eb7f8 Binary files /dev/null and b/examples/a2a-adk-app/assets/A2A_multi_agent.png differ diff --git a/examples/a2a-adk-app/assets/screenshot.png b/examples/a2a-adk-app/assets/screenshot.png new file mode 100644 index 00000000..b76b0f2e Binary files /dev/null and b/examples/a2a-adk-app/assets/screenshot.png differ diff --git a/examples/a2a-adk-app/host_agent/README.md b/examples/a2a-adk-app/host_agent/README.md new file mode 100644 index 00000000..abe4a865 --- /dev/null +++ b/examples/a2a-adk-app/host_agent/README.md @@ -0,0 +1,6 @@ +# An example host agent frond end + +- Start the server + ```bash + uv run app.py + ``` \ No newline at end of file diff --git a/examples/a2a-adk-app/host_agent/adk_agent/.env.example b/examples/a2a-adk-app/host_agent/adk_agent/.env.example new file mode 100644 index 00000000..315e3051 --- /dev/null +++ b/examples/a2a-adk-app/host_agent/adk_agent/.env.example @@ -0,0 +1,20 @@ +# 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. + +GOOGLE_GENAI_USE_VERTEXAI=TRUE +GOOGLE_CLOUD_PROJECT="your project id" +GOOGLE_API_KEY="your key" +GOOGLE_CLOUD_LOCATION=us-central1 +AIR_AGENT_URL=http://localhost:10002 +WEA_AGENT_URL=http://localhost:10001 \ No newline at end of file diff --git a/examples/a2a-adk-app/host_agent/adk_agent/README.md b/examples/a2a-adk-app/host_agent/adk_agent/README.md new file mode 100644 index 00000000..a1704646 --- /dev/null +++ b/examples/a2a-adk-app/host_agent/adk_agent/README.md @@ -0,0 +1,16 @@ +# Host Agent built by ADK + +This example shows how to create an A2A Server that uses an ADK-based Agent. + + +## Setting up the agent + +1. Create the .env file with your API Key + ```bash + GOOGLE_GENAI_USE_VERTEXAI=TRUE + GOOGLE_CLOUD_PROJECT="your project id" + GOOGLE_CLOUD_LOCATION=us-central1 + AIR_AGENT_URL=http://localhost:10002 + WEA_AGENT_URL=http://localhost:10001 + ``` + diff --git a/examples/a2a-adk-app/host_agent/adk_agent/__init__.py b/examples/a2a-adk-app/host_agent/adk_agent/__init__.py new file mode 100644 index 00000000..1e0f12f3 --- /dev/null +++ b/examples/a2a-adk-app/host_agent/adk_agent/__init__.py @@ -0,0 +1,19 @@ +""" +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. +""" + +from . import agent + +__all__ = ["agent"] diff --git a/examples/a2a-adk-app/host_agent/adk_agent/agent.py b/examples/a2a-adk-app/host_agent/adk_agent/agent.py new file mode 100644 index 00000000..8a64f0df --- /dev/null +++ b/examples/a2a-adk-app/host_agent/adk_agent/agent.py @@ -0,0 +1,300 @@ +import json +import uuid +from typing import List +import httpx +from typing import Any +import asyncio +import os + +from google.adk import Agent +from google.adk.agents.readonly_context import ReadonlyContext +from google.adk.agents.callback_context import CallbackContext +from google.adk.tools.tool_context import ToolContext +from .remote_agent_connection import RemoteAgentConnections, TaskUpdateCallback +from a2a.client import A2ACardResolver + +from a2a.types import ( + SendMessageResponse, + SendMessageRequest, + MessageSendParams, + SendMessageSuccessResponse, + Task, + Part, + AgentCard, +) + +from dotenv import load_dotenv + +load_dotenv() + + +def convert_part(part: Part, tool_context: ToolContext): + # Currently only support text parts + if part.type == "text": + return part.text + + return f"Unknown type: {part.type}" + + +def convert_parts(parts: list[Part], tool_context: ToolContext): + rval = [] + for p in parts: + rval.append(convert_part(p, tool_context)) + return rval + + +def create_send_message_payload( + text: str, task_id: str | None = None, context_id: str | None = None +) -> dict[str, Any]: + """Helper function to create the payload for sending a task.""" + payload: dict[str, Any] = { + "message": { + "role": "user", + "parts": [{"type": "text", "text": text}], + "messageId": uuid.uuid4().hex, + }, + } + + if task_id: + payload["message"]["taskId"] = task_id + + if context_id: + payload["message"]["contextId"] = context_id + return payload + + +class RoutingAgent: + """The Routing agent. + + This is the agent responsible for choosing which remote seller agents to send + tasks to and coordinate their work. + """ + + # __init__ becomes synchronous and simple + def __init__( + self, + task_callback: TaskUpdateCallback | None = None, + ): + self.task_callback = task_callback + self.remote_agent_connections: dict[str, RemoteAgentConnections] = {} + self.cards: dict[str, AgentCard] = {} + self.agents: str = "" + + # Asynchronous part of initialization + async def _async_init_components(self, remote_agent_addresses: List[str]): + # Use a single httpx.AsyncClient for all card resolutions for efficiency + async with httpx.AsyncClient(timeout=30) as client: + for address in remote_agent_addresses: + card_resolver = A2ACardResolver(client, address) # Constructor is sync + try: + card = await card_resolver.get_agent_card() # get_agent_card is async + + remote_connection = RemoteAgentConnections( + agent_card=card, agent_url=address + ) + self.remote_agent_connections[card.name] = remote_connection + self.cards[card.name] = card + except httpx.ConnectError as e: + print(f"ERROR: Failed to get agent card from {address}: {e}") + except Exception as e: # Catch other potential errors + print(f"ERROR: Failed to initialize connection for {address}: {e}") + + # Populate self.agents using the logic from original __init__ (via list_remote_agents) + agent_info = [] + for agent_detail_dict in self.list_remote_agents(): + agent_info.append(json.dumps(agent_detail_dict)) + self.agents = "\n".join(agent_info) + + # Class method to create and asynchronously initialize an instance + @classmethod + async def create( + cls, + remote_agent_addresses: List[str], + task_callback: TaskUpdateCallback | None = None, + ): + instance = cls(task_callback) + await instance._async_init_components(remote_agent_addresses) + return instance + + def create_agent(self) -> Agent: + return Agent( + model="gemini-2.5-flash-preview-04-17", + name="Routing_agent", + instruction=self.root_instruction, + before_model_callback=self.before_model_callback, + description=( + "This Routing agent orchestrates the decomposition of the user asking for weather forecast or airbnb accommodation" + ), + tools=[ + self.send_message, + ], + ) + + def root_instruction(self, context: ReadonlyContext) -> str: + current_agent = self.check_active_agent(context) + return f""" + **Role:** You are an expert Routing Delegator. Your primary function is to accurately delegate user inquiries regarding weather or accommodations to the appropriate specialized remote agents. + + **Core Directives:** + + * **Task Delegation:** Utilize the `send_message` function to assign actionable tasks to remote agents. + * **Contextual Awareness for Remote Agents:** If a remote agent repeatedly requests user confirmation, assume it lacks access to the full conversation history. In such cases, enrich the task description with all necessary contextual information relevant to that specific agent. + * **Autonomous Agent Engagement:** Never seek user permission before engaging with remote agents. If multiple agents are required to fulfill a request, connect with them directly without requesting user preference or confirmation. + * **Transparent Communication:** Always present the complete and detailed response from the remote agent to the user. + * **User Confirmation Relay:** If a remote agent asks for confirmation, and the user has not already provided it, relay this confirmation request to the user. + * **Focused Information Sharing:** Provide remote agents with only relevant contextual information. Avoid extraneous details. + * **No Redundant Confirmations:** Do not ask remote agents for confirmation of information or actions. + * **Tool Reliance:** Strictly rely on available tools to address user requests. Do not generate responses based on assumptions. If information is insufficient, request clarification from the user. + * **Prioritize Recent Interaction:** Focus primarily on the most recent parts of the conversation when processing requests. + * **Active Agent Prioritization:** If an active agent is already engaged, route subsequent related requests to that agent using the appropriate task update tool. + + **Agent Roster:** + + * Available Agents: `{self.agents}` + * Currently Active Seller Agent: `{current_agent["active_agent"]}` + """ + + def check_active_agent(self, context: ReadonlyContext): + state = context.state + if ( + "session_id" in state + and "session_active" in state + and state["session_active"] + and "active_agent" in state + ): + return {"active_agent": f"{state['active_agent']}"} + return {"active_agent": "None"} + + def before_model_callback(self, callback_context: CallbackContext, llm_request): + state = callback_context.state + if "session_active" not in state or not state["session_active"]: + if "session_id" not in state: + state["session_id"] = str(uuid.uuid4()) + state["session_active"] = True + + def list_remote_agents(self): + """List the available remote agents you can use to delegate the task.""" + if not self.cards: + return [] + + remote_agent_info = [] + for card in self.cards.values(): + print(f"Found agent card: {card.model_dump(exclude_none=True)}") + print("=" * 100) + remote_agent_info.append( + {"name": card.name, "description": card.description} + ) + return remote_agent_info + + + async def send_message( + self, agent_name: str, task: str, tool_context: ToolContext + ): + """Sends a task to remote seller agent + + This will send a message to the remote agent named agent_name. + + Args: + agent_name: The name of the agent to send the task to. + task: The comprehensive conversation context summary + and goal to be achieved regarding user inquiry and purchase request. + tool_context: The tool context this method runs in. + + Yields: + A dictionary of JSON data. + """ + if agent_name not in self.remote_agent_connections: + raise ValueError(f"Agent {agent_name} not found") + state = tool_context.state + state["active_agent"] = agent_name + client = self.remote_agent_connections[agent_name] + + if not client: + raise ValueError(f"Client not available for {agent_name}") + if "task_id" in state: + taskId = state["task_id"] + + else: + taskId = str(uuid.uuid4()) + task_id = taskId + sessionId = state["session_id"] + if "context_id" in state: + context_id = state["context_id"] + else: + context_id = str(uuid.uuid4()) + + messageId = "" + metadata = {} + if "input_message_metadata" in state: + metadata.update(**state["input_message_metadata"]) + if "message_id" in state["input_message_metadata"]: + messageId = state["input_message_metadata"]["message_id"] + if not messageId: + messageId = str(uuid.uuid4()) + + payload = { + "message": { + "role": "user", + "parts": [{"type": "text", "text": task}], # Use the 'task' argument here + "messageId": messageId, + }, + } + + if task_id: + payload["message"]["taskId"] = task_id + + if context_id: + payload["message"]["contextId"] = context_id + + message_request = SendMessageRequest( + id=messageId, params=MessageSendParams.model_validate(payload) + ) + send_response: SendMessageResponse = await client.send_message( message_request= message_request) + print("send_response", send_response) + + if not isinstance(send_response.root, SendMessageSuccessResponse): + print("received non-success response. Aborting get task ") + return + + if not isinstance(send_response.root.result, Task): + print("received non-task response. Aborting get task ") + return + + response = send_response + if hasattr(response, "root"): + content = response.root.model_dump_json(exclude_none=True) + else: + content = response.model_dump(mode="json", exclude_none=True) + + resp = [] + json_content = json.loads(content) + print(json_content) + if json_content.get("result") and json_content["result"].get("artifacts"): + for artifact in json_content["result"]["artifacts"]: + if artifact.get("parts"): + resp.extend(artifact["parts"]) + return resp + + +def _get_initialized_routing_agent_sync(): + """Synchronously creates and initializes the RoutingAgent.""" + async def _async_main(): + routing_agent_instance = await RoutingAgent.create( + remote_agent_addresses=[ + os.getenv("AIR_AGENT_URL", "http://localhost:10002"), + os.getenv("WEA_AGENT_URL", "http://localhost:10001"), + ] + ) + return routing_agent_instance.create_agent() + + try: + return asyncio.run(_async_main()) + except RuntimeError as e: + if "asyncio.run() cannot be called from a running event loop" in str(e): + print(f"Warning: Could not initialize RoutingAgent with asyncio.run(): {e}. " + "This can happen if an event loop is already running (e.g., in Jupyter). " + "Consider initializing RoutingAgent within an async function in your application.") + raise + + +root_agent = _get_initialized_routing_agent_sync() diff --git a/examples/a2a-adk-app/host_agent/adk_agent/remote_agent_connection.py b/examples/a2a-adk-app/host_agent/adk_agent/remote_agent_connection.py new file mode 100644 index 00000000..e7e3b99b --- /dev/null +++ b/examples/a2a-adk-app/host_agent/adk_agent/remote_agent_connection.py @@ -0,0 +1,58 @@ +""" +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. +""" + +from typing import Callable, Any +import uuid + +import httpx + +from a2a.client import A2AClient +from a2a.types import ( + SendMessageResponse, + SendMessageRequest, + AgentCard, + Task, + TaskStatusUpdateEvent, + TaskArtifactUpdateEvent, +) +from dotenv import load_dotenv +import os +import json + +load_dotenv() + +TaskCallbackArg = Task | TaskStatusUpdateEvent | TaskArtifactUpdateEvent +TaskUpdateCallback = Callable[[TaskCallbackArg, AgentCard], Task] + +class RemoteAgentConnections: + """A class to hold the connections to the remote agents.""" + + def __init__(self, agent_card: AgentCard, agent_url: str): + print(f"agent_card: {agent_card}") + print(f"agent_url: {agent_url}") + self._httpx_client = httpx.AsyncClient(timeout=30) + self.agent_client = A2AClient(self._httpx_client, agent_card, url=agent_url) + self.card = agent_card + self.conversation_name = None + self.conversation = None + self.pending_tasks = set() + + def get_agent(self) -> AgentCard: + return self.card + + async def send_message(self, message_request: SendMessageRequest) -> SendMessageResponse: + return await self.agent_client.send_message(message_request) + \ No newline at end of file diff --git a/examples/a2a-adk-app/host_agent/app.py b/examples/a2a-adk-app/host_agent/app.py new file mode 100644 index 00000000..81675455 --- /dev/null +++ b/examples/a2a-adk-app/host_agent/app.py @@ -0,0 +1,130 @@ +""" +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 gradio as gr +from typing import List, AsyncIterator +from adk_agent.agent import ( + root_agent as routing_agent, +) +from google.adk.sessions import InMemorySessionService +from google.adk.runners import Runner +from google.adk.events import Event +from google.genai import types +from pprint import pformat +import asyncio +import traceback # Import the traceback module + +APP_NAME = "routing_app" +USER_ID = "default_user" +SESSION_ID = "default_session" + +SESSION_SERVICE = InMemorySessionService() +ROUTING_AGENT_RUNNER = Runner( + agent=routing_agent, + app_name=APP_NAME, + session_service=SESSION_SERVICE, +) + + +async def get_response_from_agent( + message: str, + history: List[gr.ChatMessage], +) -> AsyncIterator[gr.ChatMessage]: + """Get response from host agent.""" + try: + events_iterator: AsyncIterator[Event] = ROUTING_AGENT_RUNNER.run_async( + user_id=USER_ID, + session_id=SESSION_ID, + new_message=types.Content(role="user", parts=[types.Part(text=message)]), + ) + + async for event in events_iterator: + if event.content and event.content.parts: + for part in event.content.parts: + if part.function_call: + formatted_call = f"```python\n{pformat(part.function_call.model_dump(exclude_none=True), indent=2, width=80)}\n```" + yield gr.ChatMessage( + role="assistant", + content=f"🛠️ **Tool Call: {part.function_call.name}**\n{formatted_call}", + ) + elif part.function_response: + response_content = part.function_response.response + if ( + isinstance(response_content, dict) + and "response" in response_content + ): + formatted_response_data = response_content["response"] + else: + formatted_response_data = response_content + formatted_response = f"```json\n{pformat(formatted_response_data, indent=2, width=80)}\n```" + yield gr.ChatMessage( + role="assistant", + content=f"⚡ **Tool Response from {part.function_response.name}**\n{formatted_response}", + ) + if event.is_final_response(): + final_response_text = "" + if event.content and event.content.parts: + final_response_text = "".join( + [p.text for p in event.content.parts if p.text] + ) + elif event.actions and event.actions.escalate: + final_response_text = f"Agent escalated: {event.error_message or 'No specific message.'}" + if final_response_text: + yield gr.ChatMessage(role="assistant", content=final_response_text) + break + except Exception as e: + print(f"Error in get_response_from_agent (Type: {type(e)}): {e}") + traceback.print_exc() # This will print the full traceback + yield gr.ChatMessage( + role="assistant", + content="An error occurred while processing your request. Please check the server logs for details.", + ) + + +async def main(): + """Main gradio app.""" + print("Creating ADK session...") + await SESSION_SERVICE.create_session( + app_name=APP_NAME, user_id=USER_ID, session_id=SESSION_ID + ) + print("ADK session created successfully.") + + with gr.Blocks(theme=gr.themes.Ocean(), title="A2A Host Agent with Logo") as demo: + gr.Image( + "static/a2a.png", + width=100, + height=100, + scale=0, + show_label=False, + show_download_button=False, + container=False, + show_fullscreen_button=False, + ) + gr.ChatInterface( + get_response_from_agent, + title="A2A Host Agent", # Title can be handled by Markdown above + description="This assistant can help you to check weather and find airbnb accommodation", + ) + + print("Launching Gradio interface...") + demo.queue().launch( + server_name="0.0.0.0", + server_port=8083, + ) + print("Gradio application has been shut down.") + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/a2a-adk-app/host_agent/static/a2a.png b/examples/a2a-adk-app/host_agent/static/a2a.png new file mode 100644 index 00000000..074ec67b Binary files /dev/null and b/examples/a2a-adk-app/host_agent/static/a2a.png differ diff --git a/examples/a2a-adk-app/main.py b/examples/a2a-adk-app/main.py new file mode 100644 index 00000000..acab7b7f --- /dev/null +++ b/examples/a2a-adk-app/main.py @@ -0,0 +1,6 @@ +def main(): + print("Hello from a2a-mcp-app!") + + +if __name__ == "__main__": + main() diff --git a/examples/a2a-adk-app/pyproject.toml b/examples/a2a-adk-app/pyproject.toml new file mode 100644 index 00000000..bbe5bd2e --- /dev/null +++ b/examples/a2a-adk-app/pyproject.toml @@ -0,0 +1,17 @@ +[project] +name = "a2a-mcp-app" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.13" +dependencies = [ + "a2a-sdk>=0.2.2", + "click>=8.2.0", + "geopy>=2.4.1", + "google-adk>=1.0.0", + "gradio>=5.30.0", + 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+This example shows how to create an A2A Server that uses an ADK-based Agent. + +## Running the example + +1. Create the .env file with the following content: + + ```bash + echo "GOOGLE_API_KEY=your_api_key_here" > .env + ``` + +2. Run the example + + ```bash + uv run . + ``` diff --git a/examples/a2a-adk-app/weather_agent/__init__.py b/examples/a2a-adk-app/weather_agent/__init__.py new file mode 100644 index 00000000..ebca5875 --- /dev/null +++ b/examples/a2a-adk-app/weather_agent/__init__.py @@ -0,0 +1,15 @@ +""" +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. +""" diff --git a/examples/a2a-adk-app/weather_agent/__main__.py b/examples/a2a-adk-app/weather_agent/__main__.py new file mode 100644 index 00000000..702de33b --- /dev/null +++ b/examples/a2a-adk-app/weather_agent/__main__.py @@ -0,0 +1,87 @@ +import logging +import os + +import click +import uvicorn + +from adk_agent import create_agent +from adk_agent_executor import ADKAgentExecutor +from dotenv import load_dotenv +from google.adk.artifacts import InMemoryArtifactService +from google.adk.memory.in_memory_memory_service import InMemoryMemoryService +from google.adk.runners import Runner +from google.adk.sessions import InMemorySessionService +from starlette.routing import Route + +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 starlette.applications import Starlette + + +load_dotenv() + +logging.basicConfig() + + +@click.command() +@click.option("--host", "host", default="localhost") +@click.option("--port", "port", default=10001) +def main(host: str, port: int): + # Verify an API key is set. + # Not required if using Vertex AI APIs. + if os.getenv("GOOGLE_GENAI_USE_VERTEXAI") != "TRUE" and not os.getenv( + "GOOGLE_API_KEY" + ): + raise ValueError( + "GOOGLE_API_KEY environment variable not set and " + "GOOGLE_GENAI_USE_VERTEXAI is not TRUE." + ) + + skill = AgentSkill( + id="weather_search", + name="Search weather", + description="Helps with weather in city, or states", + tags=["weather"], + examples=["weather in LA, CA"], + ) + + agent_card = AgentCard( + name="Weather Agent", + description="Helps with weather", + url=f"http://{host}:{port}/", + version="1.0.0", + defaultInputModes=["text"], + defaultOutputModes=["text"], + capabilities=AgentCapabilities(streaming=True), + skills=[skill], + ) + + adk_agent = create_agent() + runner = Runner( + app_name=agent_card.name, + agent=adk_agent, + artifact_service=InMemoryArtifactService(), + session_service=InMemorySessionService(), + memory_service=InMemoryMemoryService(), + ) + agent_executor = ADKAgentExecutor(runner, agent_card) + + request_handler = DefaultRequestHandler( + agent_executor=agent_executor, task_store=InMemoryTaskStore() + ) + + a2a_app = A2AStarletteApplication( + agent_card=agent_card, http_handler=request_handler + ) + + uvicorn.run(a2a_app.build(), host=host, port=port) + + +if __name__ == "__main__": + main() diff --git a/examples/a2a-adk-app/weather_agent/adk_agent.py b/examples/a2a-adk-app/weather_agent/adk_agent.py new file mode 100644 index 00000000..0f4ec80a --- /dev/null +++ b/examples/a2a-adk-app/weather_agent/adk_agent.py @@ -0,0 +1,20 @@ + +from google.adk.agents import LlmAgent +from google.adk.tools.mcp_tool.mcp_toolset import MCPToolset, StdioServerParameters + +def create_agent() -> LlmAgent: + """Constructs the ADK agent.""" + return LlmAgent( + model="gemini-2.5-flash-preview-04-17", + name="weather_agent", + description="An agent that can help questions about weather", + instruction=f"""You are a specialized weather forecast assistant. Your primary function is to utilize the provided tools to retrieve and relay weather information in response to user queries. You must rely exclusively on these tools for data and refrain from inventing information. Ensure that all responses include the detailed output from the tools used and are formatted in Markdown""", + tools=[ + MCPToolset( + connection_params=StdioServerParameters( + command="python", + args=["./weather_server.py"], + ), + ) + ], + ) diff --git a/examples/a2a-adk-app/weather_agent/adk_agent_executor.py b/examples/a2a-adk-app/weather_agent/adk_agent_executor.py new file mode 100644 index 00000000..b1fa0968 --- /dev/null +++ b/examples/a2a-adk-app/weather_agent/adk_agent_executor.py @@ -0,0 +1,184 @@ +import asyncio +import logging + +from collections.abc import AsyncGenerator +from google.adk import Runner + +from google.adk.events import Event +from google.genai import types + +from a2a.server.agent_execution import AgentExecutor +from a2a.server.agent_execution.context import RequestContext +from a2a.server.events.event_queue import EventQueue +from a2a.server.tasks import TaskUpdater +from a2a.types import ( + AgentCard, + FilePart, + FileWithBytes, + FileWithUri, + Part, + TaskState, + TextPart, + UnsupportedOperationError, +) +from a2a.utils.errors import ServerError +from a2a.utils.message import new_agent_text_message + + +logger = logging.getLogger(__name__) +logger.setLevel(logging.DEBUG) + + +class ADKAgentExecutor(AgentExecutor): + """An AgentExecutor that runs an ADK-based Agent.""" + + def __init__(self, runner: Runner, card: AgentCard): + self.runner = runner + self._card = card + + self._running_sessions = {} + + def _run_agent( + self, session_id, new_message: types.Content + ) -> AsyncGenerator[Event, None]: + return self.runner.run_async( + session_id=session_id, user_id="self", new_message=new_message + ) + + async def _process_request( + self, + new_message: types.Content, + session_id: str, + task_updater: TaskUpdater, + ) -> None: + # The call to self._upsert_session was returning a coroutine object, + # leading to an AttributeError when trying to access .id on it directly. + # We need to await the coroutine to get the actual session object. + session_obj = await self._upsert_session( + session_id, + ) + # Update session_id with the ID from the resolved session object + # to be used in self._run_agent. + session_id = session_obj.id + + async for event in self._run_agent(session_id, new_message): + + if event.is_final_response(): + parts = convert_genai_parts_to_a2a(event.content.parts) + logger.debug("Yielding final response: %s", parts) + task_updater.add_artifact(parts) + task_updater.complete() + break + if not event.get_function_calls(): + logger.debug("Yielding update response") + task_updater.update_status( + TaskState.working, + message=task_updater.new_agent_message( + convert_genai_parts_to_a2a(event.content.parts), + ), + ) + else: + logger.debug("Skipping event") + + async def execute( + self, + context: RequestContext, + event_queue: EventQueue, + ): + # Run the agent until either complete or the task is suspended. + updater = TaskUpdater(event_queue, context.task_id, context.context_id) + # Immediately notify that the task is submitted. + if not context.current_task: + updater.submit() + updater.start_work() + await self._process_request( + types.UserContent( + parts=convert_a2a_parts_to_genai(context.message.parts), + ), + context.context_id, + updater, + ) + logger.debug("[weather] execute exiting") + + async def cancel(self, context: RequestContext, event_queue: EventQueue): + # Ideally: kill any ongoing tasks. + raise ServerError(error=UnsupportedOperationError()) + + async def _upsert_session(self, session_id: str): + """ + Retrieves a session if it exists, otherwise creates a new one. + Ensures that async session service methods are properly awaited. + """ + session = await self.runner.session_service.get_session( + app_name=self.runner.app_name, user_id="self", session_id=session_id + ) + if session is None: + session = await self.runner.session_service.create_session( + app_name=self.runner.app_name, user_id="self", session_id=session_id + ) + # According to ADK InMemorySessionService, create_session should always return a Session object. + if session is None: + logger.error( + f"Critical error: Session is None even after create_session for session_id: {session_id}" + ) + raise RuntimeError(f"Failed to get or create session: {session_id}") + return session + + +def convert_a2a_parts_to_genai(parts: list[Part]) -> list[types.Part]: + """Convert a list of A2A Part types into a list of Google Gen AI Part types.""" + return [convert_a2a_part_to_genai(part) for part in parts] + + +def convert_a2a_part_to_genai(part: Part) -> types.Part: + """Convert a single A2A Part type into a Google Gen AI Part type.""" + part = part.root + if isinstance(part, TextPart): + return types.Part(text=part.text) + if isinstance(part, FilePart): + if isinstance(part.file, FileWithUri): + return types.Part( + file_data=types.FileData( + file_uri=part.file.uri, mime_type=part.file.mime_type + ) + ) + if isinstance(part.file, FileWithBytes): + return types.Part( + inline_data=types.Blob( + data=part.file.bytes, mime_type=part.file.mime_type + ) + ) + raise ValueError(f"Unsupported file type: {type(part.file)}") + raise ValueError(f"Unsupported part type: {type(part)}") + + +def convert_genai_parts_to_a2a(parts: list[types.Part]) -> list[Part]: + """Convert a list of Google Gen AI Part types into a list of A2A Part types.""" + return [ + convert_genai_part_to_a2a(part) + for part in parts + if (part.text or part.file_data or part.inline_data) + ] + + +def convert_genai_part_to_a2a(part: types.Part) -> Part: + """Convert a single Google Gen AI Part type into an A2A Part type.""" + if part.text: + return TextPart(text=part.text) + if part.file_data: + return FilePart( + file=FileWithUri( + uri=part.file_data.file_uri, + mime_type=part.file_data.mime_type, + ) + ) + if part.inline_data: + return Part( + root=FilePart( + file=FileWithBytes( + bytes=part.inline_data.data, + mime_type=part.inline_data.mime_type, + ) + ) + ) + raise ValueError(f"Unsupported part type: {part}") diff --git a/examples/a2a-adk-app/weather_agent/test_client.py b/examples/a2a-adk-app/weather_agent/test_client.py new file mode 100644 index 00000000..e54bb46c --- /dev/null +++ b/examples/a2a-adk-app/weather_agent/test_client.py @@ -0,0 +1,98 @@ +from typing import Any +from uuid import uuid4 + +import httpx + +from a2a.client import A2AClient +from a2a.types import ( + SendMessageResponse, + GetTaskResponse, + SendMessageSuccessResponse, + Task, + SendMessageRequest, + MessageSendParams, + GetTaskRequest, + TaskQueryParams, +) +import traceback + +AGENT_URL = "http://localhost:10001" + +def create_send_message_payload( + text: str, task_id: str | None = None, context_id: str | None = None +) -> dict[str, Any]: + """Helper function to create the payload for sending a task.""" + payload: dict[str, Any] = { + 'message': { + 'role': 'user', + 'parts': [{'kind': 'text', 'text': text}], + 'messageId': uuid4().hex, + }, + } + + if task_id: + payload['message']['taskId'] = task_id + + if context_id: + payload['message']['contextId'] = context_id + return payload + + +def print_json_response(response: Any, description: str) -> None: + """Helper function to print the JSON representation of a response.""" + print(f"--- {description} ---") + if hasattr(response, "root"): + print(f"{response.root.model_dump_json(exclude_none=True)}\n") + else: + print(f'{response.model_dump(mode="json", exclude_none=True)}\n') + + +async def run_single_turn_test(client: A2AClient) -> None: + """Runs a single-turn non-streaming test.""" + + send_payload = create_send_message_payload( + text='Please tell me weather in LA, CA' + ) + request = SendMessageRequest(params=MessageSendParams(**send_payload)) + + print('--- Single Turn Request ---') + # Send Message + send_response: SendMessageResponse = await client.send_message(request) + print_json_response(send_response, 'Single Turn Request Response') + if not isinstance(send_response.root, SendMessageSuccessResponse): + print('received non-success response. Aborting get task ') + return + + if not isinstance(send_response.root.result, Task): + print('received non-task response. Aborting get task ') + return + + task_id: str = send_response.root.result.id + print('---Query Task---') + # query the task + get_request = GetTaskRequest(params=TaskQueryParams(id=task_id)) + get_response: GetTaskResponse = await client.get_task(get_request) + print_json_response(get_response, 'Query Task Response') + + +async def main() -> None: + """Main function to run the tests.""" + print(f'Connecting to agent at {AGENT_URL}...') + try: + async with httpx.AsyncClient(timeout=30) as httpx_client: + client = await A2AClient.get_client_from_agent_card_url( + httpx_client, AGENT_URL + ) + print('Connection successful.') + + await run_single_turn_test(client) + + except Exception as e: + traceback.print_exc() + print(f'An error occurred: {e}') + print('Ensure the agent server is running.') + +if __name__ == "__main__": + import asyncio + + asyncio.run(main()) diff --git a/examples/a2a-adk-app/weather_agent/weather_server.py b/examples/a2a-adk-app/weather_agent/weather_server.py new file mode 100644 index 00000000..fca27500 --- /dev/null +++ b/examples/a2a-adk-app/weather_agent/weather_server.py @@ -0,0 +1,228 @@ +import json +from typing import Any, Dict, Optional +import httpx +from mcp.server.fastmcp import FastMCP +from geopy.geocoders import Nominatim +from geopy.exc import GeocoderTimedOut, GeocoderServiceError + +# Initialize FastMCP server +mcp = FastMCP("weather") + +# --- Configuration & Constants --- +BASE_URL = "https://api.weather.gov" +USER_AGENT = "weather-agent" +REQUEST_TIMEOUT = 20.0 +GEOCODE_TIMEOUT = 10.0 # Timeout for geocoding requests + +# --- Shared HTTP Client --- +http_client = httpx.AsyncClient( + base_url=BASE_URL, + headers={"User-Agent": USER_AGENT, "Accept": "application/geo+json"}, + timeout=REQUEST_TIMEOUT, + follow_redirects=True, +) + +# --- Geocoding Setup --- +# Initialize the geocoder (Nominatim requires a unique user_agent) +geolocator = Nominatim(user_agent=USER_AGENT) + + +async def get_weather_response(endpoint: str) -> Optional[Dict[str, Any]]: + """ + Make a request to the NWS API using the shared client with error handling. + Returns None if an error occurs. + """ + try: + response = await http_client.get(endpoint) + response.raise_for_status() # Raises HTTPStatusError for 4xx/5xx responses + return response.json() + except httpx.HTTPStatusError: + # Specific HTTP errors (like 404 Not Found, 500 Server Error) + return None + except httpx.TimeoutException: + # Request timed out + return None + except httpx.RequestError: + # Other request errors (connection, DNS, etc.) + return None + except json.JSONDecodeError: + # Response was not valid JSON + return None + except Exception: + # Any other unexpected errors + return None + + +def format_alert(feature: Dict[str, Any]) -> str: + """Format an alert feature into a readable string.""" + props = feature.get("properties", {}) # Safer access + # Use .get() with default values for robustness + return f""" + Event: {props.get('event', 'Unknown Event')} + Area: {props.get('areaDesc', 'N/A')} + Severity: {props.get('severity', 'N/A')} + Certainty: {props.get('certainty', 'N/A')} + Urgency: {props.get('urgency', 'N/A')} + Effective: {props.get('effective', 'N/A')} + Expires: {props.get('expires', 'N/A')} + Description: {props.get('description', 'No description provided.').strip()} + Instructions: {props.get('instruction', 'No instructions provided.').strip()} + """ + + +def format_forecast_period(period: Dict[str, Any]) -> str: + """Formats a single forecast period into a readable string.""" + return f""" + {period.get('name', 'Unknown Period')}: + Temperature: {period.get('temperature', 'N/A')}°{period.get ('temperatureUnit', 'F')} + Wind: {period.get('windSpeed', 'N/A')} {period.get('windDirection', 'N/A')} + Short Forecast: {period.get('shortForecast', 'N/A')} + Detailed Forecast: {period.get('detailedForecast', 'No detailed forecast provided.').strip()} + """ + + +# --- MCP Tools --- + + +@mcp.tool() +async def get_alerts(state: str) -> str: + """ + Get active weather alerts for a specific US state. + + Args: + state: The two-letter US state code (e.g., CA, NY, TX). Case-insensitive. + """ + # Input validation and normalization + if not isinstance(state, str) or len(state) != 2 or not state.isalpha(): + return "Invalid input. Please provide a two-letter US state code (e.g., CA)." + state_code = state.upper() + + endpoint = f"/alerts/active/area/{state_code}" + data = await get_weather_response(endpoint) + + if data is None: + # Error occurred during request + return f"Failed to retrieve weather alerts for {state_code}." + + features = data.get("features") + if not features: # Handles both null and empty list + return f"No active weather alerts found for {state_code}." + + alerts = [format_alert(feature) for feature in features] + return "\n---\n".join(alerts) + + +@mcp.tool() +async def get_forecast(latitude: float, longitude: float) -> str: + """ + Get the weather forecast for a specific location using latitude and longitude. + + Args: + latitude: The latitude of the location (e.g., 34.05). + longitude: The longitude of the location (e.g., -118.25). + """ + # Input validation + if not (-90 <= latitude <= 90 and -180 <= longitude <= 180): + return "Invalid latitude or longitude provided. Latitude must be between -90 and 90, Longitude between -180 and 180." + + # NWS API requires latitude,longitude format with up to 4 decimal places + point_endpoint = f"/points/{latitude:.4f},{longitude:.4f}" + points_data = await get_weather_response(point_endpoint) + + if points_data is None or "properties" not in points_data: + return f"Unable to retrieve NWS gridpoint information for {latitude:.4f},{longitude:.4f}." + + # Extract forecast URLs from the gridpoint data + forecast_url = points_data["properties"].get("forecast") + + if not forecast_url: + return f"Could not find the NWS forecast endpoint for {latitude:.4f},{longitude:.4f}." + + # Make the request to the specific forecast URL + forecast_data = None + try: + response = await http_client.get(forecast_url) + response.raise_for_status() + forecast_data = response.json() + except httpx.HTTPStatusError: + pass # Error handled by returning None below + except httpx.RequestError: + pass # Error handled by returning None below + except json.JSONDecodeError: + pass # Error handled by returning None below + except Exception: + pass # Error handled by returning None below + + if forecast_data is None or "properties" not in forecast_data: + return "Failed to retrieve detailed forecast data from NWS." + + periods = forecast_data["properties"].get("periods") + if not periods: + return "No forecast periods found for this location from NWS." + + # Format the first 5 periods + forecasts = [format_forecast_period(period) for period in periods[:5]] + + return "\n---\n".join(forecasts) + + +# --- NEW: get_forecast_by_city Tool --- +@mcp.tool() +async def get_forecast_by_city(city: str, state: str) -> str: + """ + Get the weather forecast for a specific US city and state by first finding its coordinates. + + Args: + city: The name of the city (e.g., "Los Angeles", "New York"). + state: The two-letter US state code (e.g., CA, NY). Case-insensitive. + """ + # --- Input Validation --- + if not city or not isinstance(city, str): + return "Invalid city name provided." + if ( + not state + or not isinstance(state, str) + or len(state) != 2 + or not state.isalpha() + ): + return "Invalid state code. Please provide the two-letter US state abbreviation (e.g., CA)." + + city_name = city.strip() + state_code = state.strip().upper() + # Construct a query likely to yield a US result + query = f"{city_name}, {state_code}, USA" + + # --- Geocoding --- + location = None + try: + # Synchronous geocode call + location = geolocator.geocode(query, timeout=GEOCODE_TIMEOUT) + + except GeocoderTimedOut: + return f"Could not get coordinates for '{city_name}, {state_code}': The location service timed out." + except GeocoderServiceError: + return f"Could not get coordinates for '{city_name}, {state_code}': The location service returned an error." + except Exception: + # Catch any other unexpected errors during geocoding + return f"An unexpected error occurred while finding coordinates for '{city_name}, {state_code}'." + + # --- Handle Geocoding Result --- + if location is None: + return f"Could not find coordinates for '{city_name}, {state_code}'. Please check the spelling or try a nearby city." + + latitude = location.latitude + longitude = location.longitude + + # --- Reuse existing forecast logic with obtained coordinates --- + return await get_forecast(latitude, longitude) + + +# --- Server Execution & Shutdown --- +async def shutdown_event(): + """Gracefully close the httpx client.""" + await http_client.aclose() + # print("HTTP client closed.") # Optional print statement if desired + + +if __name__ == "__main__": + mcp.run(transport="stdio")