diff --git a/python/Dockerfile b/python/Dockerfile index cd445cf1c..79c07f43b 100644 --- a/python/Dockerfile +++ b/python/Dockerfile @@ -48,17 +48,16 @@ ENV PATH=$PATH:/.kagent/python/bin:/.kagent/python/.venv/bin COPY --chown=python:pythongroup pyproject.toml . COPY --chown=python:pythongroup .python-version . COPY --chown=python:pythongroup uv.lock . -COPY --chown=python:pythongroup packages packages +COPY --chown=python:pythongroup packages/kagent-adk packages/kagent-adk +COPY --chown=python:pythongroup packages/kagent-core packages/kagent-core COPY --chown=python:pythongroup README.md . ARG VERSION -# Install dependencies -RUN echo "Installing dependencies..." \ +# Install only kagent-adk package and its dependencies +RUN echo "Installing kagent-adk package..." \ && uv venv --python=python$TOOLS_PYTHON_VERSION \ - && uv version ${VERSION%%-*} --package kagent-adk \ - && uv sync --locked --refresh \ - && uv build --package kagent-adk \ + && uv lock && uv sync --package kagent-adk \ && uv cache prune WORKDIR /app diff --git a/python/Makefile b/python/Makefile index 1bc1ded1a..7037b88c3 100644 --- a/python/Makefile +++ b/python/Makefile @@ -33,3 +33,11 @@ audit: build .PHONY: basic-langchain-sample basic-langchain-sample: docker build . -f samples/langgraph/currency/Dockerfile --tag localhost:5001/langgraph-currency:latest --push + +.PHONY: research-crew-sample +research-crew-sample: + docker build . -f samples/crewai/research-crew/Dockerfile --tag localhost:5001/research-crew:latest --push + +.PHONY: poem-flow-sample +poem-flow-sample: + docker build . -f samples/crewai/poem_flow/Dockerfile --tag localhost:5001/poem-flow:latest --push \ No newline at end of file diff --git a/python/packages/kagent-crewai/README.md b/python/packages/kagent-crewai/README.md new file mode 100644 index 000000000..f29a1600a --- /dev/null +++ b/python/packages/kagent-crewai/README.md @@ -0,0 +1,47 @@ +# KAgent CrewAI Integration + +This package provides CrewAI integration for KAgent with A2A (Agent-to-Agent) server support. + +## Features + +- **A2A Server Integration**: Compatible with KAgent's Agent-to-Agent protocol +- **Event Streaming**: Real-time streaming of crew execution events +- **FastAPI Integration**: Ready-to-deploy web server for agent execution + +## Quick Start + +This package supports both CrewAI Crews and Flows. To get started, define your CrewAI crew or flow as you normally would, then replace the `kickoff` command with the `KAgentApp` which will handle A2A requests and execution. + +```python +from kagent.crewai import KAgentApp +# This is the crew or flow you defined +from research_crew.crew import ResearchCrew + +app = KAgentApp(crew=ResearchCrew().crew(), agent_card={ + "name": "my-crewai-agent", + "description": "A CrewAI agent with KAgent integration", + "version": "0.1.0", + "capabilities": {"streaming": True}, + "defaultInputModes": ["text"], + "defaultOutputModes": ["text"] +}) + +fastapi_app = app.build() +uvicorn.run(fastapi_app, host="0.0.0.0", port=8080) +``` + +## Architecture + +The package mirrors the structure of `kagent-adk` and `kagent-langgraph` but uses CrewAI for multi-agent orchestration: + +- **CrewAIAgentExecutor**: Executes CrewAI workflows within A2A protocol +- **KAgentApp**: FastAPI application builder with A2A integration +- **Event Converters**: Translates CrewAI events into A2A events for streaming. + +## Deployment + +The uses the same deployment approach as other KAgent A2A applications (ADK / LangGraph). You can refer to `samples/crewai/` for examples. + +## Note + +Due to the current design of the package, your tasks in CrewAI should expect a `input` parameter which contains the input text if available. We will support JSON input for more native CrewAI integration in the future. You can check out an example in `samples/crewai/research-crew/src/research_crew/config/tasks.yaml`. diff --git a/python/packages/kagent-crewai/pyproject.toml b/python/packages/kagent-crewai/pyproject.toml new file mode 100644 index 000000000..601cdf6b8 --- /dev/null +++ b/python/packages/kagent-crewai/pyproject.toml @@ -0,0 +1,37 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "kagent-crewai" +version = "0.1.0" +description = "CrewAI integration for KAgent with A2A server support" +readme = "README.md" +requires-python = ">=3.13" +dependencies = [ + "crewai[tools]>=0.193.2,<1.0.0", + "httpx>=0.25.0", + "fastapi>=0.100.0", + "pydantic>=2.0.0", + "typing-extensions>=4.0.0", + "uvicorn>=0.20.0", + "a2a-sdk>=0.3.1", + "kagent-core", +] + +[project.optional-dependencies] +dev = [ + "pytest>=7.0.0", + "pytest-asyncio>=0.21.0", + "black>=23.0.0", + "ruff>=0.1.0", +] + +[tool.uv.sources] +kagent-core = {workspace = true} + +[tool.hatch.build.targets.wheel] +packages = ["src/kagent"] + +[tool.ruff] +extend = "../../pyproject.toml" \ No newline at end of file diff --git a/python/packages/kagent-crewai/src/kagent/crewai/_a2a.py b/python/packages/kagent-crewai/src/kagent/crewai/_a2a.py new file mode 100644 index 000000000..e048d907f --- /dev/null +++ b/python/packages/kagent-crewai/src/kagent/crewai/_a2a.py @@ -0,0 +1,86 @@ +import faulthandler +import logging +from typing import Union + +import httpx +from a2a.server.apps import A2AStarletteApplication +from a2a.server.request_handlers import DefaultRequestHandler +from a2a.types import AgentCard +from fastapi import FastAPI, Request +from fastapi.responses import PlainTextResponse + +from crewai import Crew, Flow +from kagent.core import KAgentConfig, configure_tracing +from kagent.core.a2a import KAgentRequestContextBuilder, KAgentTaskStore + +from ._executor import CrewAIAgentExecutor, CrewAIAgentExecutorConfig + +logger = logging.getLogger(__name__) + + +def def_health_check(request: Request) -> PlainTextResponse: + return PlainTextResponse("OK") + + +def thread_dump(request: Request) -> PlainTextResponse: + import io + + buf = io.StringIO() + faulthandler.dump_traceback(file=buf) + buf.seek(0) + return PlainTextResponse(buf.read()) + + +class KAgentApp: + def __init__( + self, + *, + crew: Union[Crew, Flow], + agent_card: AgentCard, + config: KAgentConfig = KAgentConfig(), + executor_config: CrewAIAgentExecutorConfig | None = None, + tracing: bool = True, + ): + self._crew = crew + self.agent_card = AgentCard.model_validate(agent_card) + self.config = config + self.executor_config = executor_config or CrewAIAgentExecutorConfig() + self.tracing = tracing + + def build(self) -> FastAPI: + http_client = httpx.AsyncClient(base_url=self.config.url) + + agent_executor = CrewAIAgentExecutor( + crew=self._crew, + app_name=self.config.app_name, + config=self.executor_config, + ) + + task_store = KAgentTaskStore(http_client) + request_context_builder = KAgentRequestContextBuilder(task_store=task_store) + request_handler = DefaultRequestHandler( + agent_executor=agent_executor, + task_store=task_store, + request_context_builder=request_context_builder, + ) + + a2a_app = A2AStarletteApplication( + agent_card=self.agent_card, + http_handler=request_handler, + ) + + faulthandler.enable() + app = FastAPI( + title=f"KAgent CrewAI: {self.config.app_name}", + description=f"CrewAI agent with KAgent integration: {self.agent_card.description}", + version=self.agent_card.version, + ) + + if self.tracing: + configure_tracing(app) + + app.add_route("/health", methods=["GET"], route=def_health_check) + app.add_route("/thread_dump", methods=["GET"], route=thread_dump) + a2a_app.add_routes_to_app(app) + + return app diff --git a/python/packages/kagent-crewai/src/kagent/crewai/_executor.py b/python/packages/kagent-crewai/src/kagent/crewai/_executor.py new file mode 100644 index 000000000..069455acc --- /dev/null +++ b/python/packages/kagent-crewai/src/kagent/crewai/_executor.py @@ -0,0 +1,151 @@ +import logging +import uuid +from datetime import datetime, timezone +from typing import Union, override + +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.types import ( + Artifact, + DataPart, + Message, + Part, + Role, + TaskArtifactUpdateEvent, + TaskState, + TaskStatus, + TaskStatusUpdateEvent, + TextPart, +) +from pydantic import BaseModel + +from crewai import Crew, Flow + +from ._listeners import A2ACrewAIListener + +logger = logging.getLogger(__name__) + + +class CrewAIAgentExecutorConfig(BaseModel): + execution_timeout: float = 300.0 + + +class CrewAIAgentExecutor(AgentExecutor): + def __init__( + self, + *, + crew: Union[Crew, Flow], + app_name: str, + config: CrewAIAgentExecutorConfig | None = None, + ): + super().__init__() + self._crew = crew + self.app_name = app_name + self._config = config or CrewAIAgentExecutorConfig() + + @override + async def cancel(self, context: RequestContext, event_queue: EventQueue): + raise NotImplementedError("Cancellation is not implemented") + + @override + async def execute( + self, + context: RequestContext, + event_queue: EventQueue, + ): + if not context.message: + raise ValueError("A2A request must have a message") + + if not context.current_task: + await event_queue.enqueue_event( + TaskStatusUpdateEvent( + task_id=context.task_id, + status=TaskStatus( + state=TaskState.submitted, + message=context.message, + timestamp=datetime.now(timezone.utc).isoformat(), + ), + context_id=context.context_id, + final=False, + ) + ) + + await event_queue.enqueue_event( + TaskStatusUpdateEvent( + task_id=context.task_id, + status=TaskStatus( + state=TaskState.working, + timestamp=datetime.now(timezone.utc).isoformat(), + ), + context_id=context.context_id, + final=False, + metadata={ + "app_name": self.app_name, + "session_id": context.context_id, + }, + ) + ) + + # This listener will capture and convert CrewAI events and enqueue them to A2A event queue + A2ACrewAIListener(context, event_queue, self.app_name) + + try: + inputs = None + if context.message and context.message.parts: + for part in context.message.parts: + if isinstance(part, DataPart): + inputs = part.root.data + break + if inputs is None: + user_input = context.get_user_input() + inputs = {"input": user_input} if user_input else {} + + if isinstance(self._crew, Flow): + flow_class = type(self._crew) + flow_instance = flow_class() + result = await flow_instance.kickoff_async(inputs=inputs) + else: + result = await self._crew.kickoff_async(inputs=inputs) + + await event_queue.enqueue_event( + TaskArtifactUpdateEvent( + task_id=context.task_id, + last_chunk=True, + context_id=context.context_id, + artifact=Artifact( + artifact_id=str(uuid.uuid4()), + parts=[Part(TextPart(text=str(result.raw)))], + ), + ) + ) + await event_queue.enqueue_event( + TaskStatusUpdateEvent( + task_id=context.task_id, + status=TaskStatus( + state=TaskState.completed, + timestamp=datetime.now(timezone.utc).isoformat(), + ), + context_id=context.context_id, + final=True, + ) + ) + + except Exception as e: + logger.error(f"Error during CrewAI execution: {e}", exc_info=True) + await event_queue.enqueue_event( + TaskStatusUpdateEvent( + task_id=context.task_id, + status=TaskStatus( + state=TaskState.failed, + timestamp=datetime.now(timezone.utc).isoformat(), + message=Message( + message_id=str(uuid.uuid4()), + role=Role.agent, + parts=[Part(TextPart(text=str(e)))], + ), + ), + context_id=context.context_id, + final=True, + ) + ) diff --git a/python/packages/kagent-crewai/src/kagent/crewai/_listeners.py b/python/packages/kagent-crewai/src/kagent/crewai/_listeners.py new file mode 100644 index 000000000..ecc20e405 --- /dev/null +++ b/python/packages/kagent-crewai/src/kagent/crewai/_listeners.py @@ -0,0 +1,263 @@ +import asyncio +import uuid +from datetime import datetime, timezone +from typing import Any + +from a2a.server.agent_execution.context import RequestContext +from a2a.server.events.event_queue import EventQueue +from a2a.types import ( + DataPart, + Message, + Part, + Role, + TaskState, + TaskStatus, + TaskStatusUpdateEvent, + TextPart, +) + +from crewai.events import ( + AgentExecutionCompletedEvent, + AgentExecutionStartedEvent, + BaseEventListener, + MethodExecutionFinishedEvent, + MethodExecutionStartedEvent, + TaskCompletedEvent, + TaskStartedEvent, + ToolUsageFinishedEvent, + ToolUsageStartedEvent, +) +from kagent.core.a2a import ( + A2A_DATA_PART_METADATA_TYPE_FUNCTION_CALL, + A2A_DATA_PART_METADATA_TYPE_FUNCTION_RESPONSE, + A2A_DATA_PART_METADATA_TYPE_KEY, + get_kagent_metadata_key, +) + + +class A2ACrewAIListener(BaseEventListener): + def __init__( + self, + context: RequestContext, + event_queue: EventQueue, + app_name: str, + ): + super().__init__() + self.context = context + self.event_queue = event_queue + self.app_name = app_name + self.loop = asyncio.get_running_loop() + + def _enqueue_event(self, event: Any): + asyncio.run_coroutine_threadsafe(self.event_queue.enqueue_event(event), self.loop) + + def setup_listeners(self, crewai_event_bus): + @crewai_event_bus.on(TaskStartedEvent) + def on_task_started(source: Any, event: TaskStartedEvent): + self._enqueue_event( + TaskStatusUpdateEvent( + task_id=self.context.task_id, + status=TaskStatus( + state=TaskState.working, + timestamp=datetime.now(timezone.utc).isoformat(), + message=Message( + message_id=str(uuid.uuid4()), + role=Role.agent, + parts=[Part(TextPart(text=f"Task started: {event.task.name}"))], + ), + ), + context_id=self.context.context_id, + final=False, + metadata={"app_name": self.app_name, "session_id": self.context.context_id}, + ) + ) + + @crewai_event_bus.on(TaskCompletedEvent) + def on_task_completed(source: Any, event: TaskCompletedEvent): + if event.output: + self._enqueue_event( + TaskStatusUpdateEvent( + task_id=self.context.task_id, + status=TaskStatus( + state=TaskState.working, + timestamp=datetime.now(timezone.utc).isoformat(), + message=Message( + message_id=str(uuid.uuid4()), + role=Role.agent, + parts=[Part(TextPart(text=f"Task completed: {event.task.name}\n"))], + ), + ), + context_id=self.context.context_id, + final=False, + metadata={"app_name": self.app_name, "session_id": self.context.context_id}, + ) + ) + + @crewai_event_bus.on(AgentExecutionStartedEvent) + def on_agent_execution_started(source: Any, event: AgentExecutionStartedEvent): + self._enqueue_event( + TaskStatusUpdateEvent( + task_id=self.context.task_id, + status=TaskStatus( + state=TaskState.working, + timestamp=datetime.now(timezone.utc).isoformat(), + message=Message( + message_id=str(uuid.uuid4()), + role=Role.agent, + parts=[ + Part( + TextPart( + text=f"Agent {event.agent.id} started working on task: {event.task_prompt}" + ) + ) + ], + ), + ), + context_id=self.context.context_id, + final=False, + metadata={"app_name": self.app_name, "session_id": self.context.context_id}, + ) + ) + + @crewai_event_bus.on(AgentExecutionCompletedEvent) + def on_agent_execution_completed(source: Any, event: AgentExecutionCompletedEvent): + if event.output: + self._enqueue_event( + TaskStatusUpdateEvent( + task_id=self.context.task_id, + status=TaskStatus( + state=TaskState.working, + timestamp=datetime.now(timezone.utc).isoformat(), + message=Message( + message_id=str(uuid.uuid4()), + role=Role.agent, + parts=[Part(TextPart(text=str(event.output)))], + ), + ), + context_id=self.context.context_id, + final=False, + metadata={"app_name": self.app_name, "session_id": self.context.context_id}, + ) + ) + + @crewai_event_bus.on(ToolUsageStartedEvent) + def on_tool_usage_started(source: Any, event: ToolUsageStartedEvent): + self._enqueue_event( + TaskStatusUpdateEvent( + task_id=self.context.task_id, + status=TaskStatus( + state=TaskState.working, + timestamp=datetime.now(timezone.utc).isoformat(), + message=Message( + message_id=str(uuid.uuid4()), + role=Role.agent, + parts=[ + Part( + DataPart( + data={ + "id": event.tool_class, + "name": event.tool_name, + "args": event.tool_args, + }, + metadata={ + get_kagent_metadata_key( + A2A_DATA_PART_METADATA_TYPE_KEY + ): A2A_DATA_PART_METADATA_TYPE_FUNCTION_CALL + }, + ) + ) + ], + ), + ), + context_id=self.context.context_id, + final=False, + metadata={"app_name": self.app_name, "session_id": self.context.context_id}, + ) + ) + + @crewai_event_bus.on(ToolUsageFinishedEvent) + def on_tool_usage_finished(source: Any, event: ToolUsageFinishedEvent): + self._enqueue_event( + TaskStatusUpdateEvent( + task_id=self.context.task_id, + status=TaskStatus( + state=TaskState.working, + timestamp=datetime.now(timezone.utc).isoformat(), + message=Message( + message_id=str(uuid.uuid4()), + role=Role.agent, + parts=[ + Part( + DataPart( + data={ + "id": event.tool_class, + "name": event.tool_name, + "response": event.output, + }, + metadata={ + get_kagent_metadata_key( + A2A_DATA_PART_METADATA_TYPE_KEY + ): A2A_DATA_PART_METADATA_TYPE_FUNCTION_RESPONSE, + }, + ) + ) + ], + ), + ), + context_id=self.context.context_id, + final=False, + metadata={"app_name": self.app_name, "session_id": self.context.context_id}, + ) + ) + + @crewai_event_bus.on(MethodExecutionStartedEvent) + def on_method_execution_started(source: Any, event: MethodExecutionStartedEvent): + self._enqueue_event( + TaskStatusUpdateEvent( + task_id=self.context.task_id, + status=TaskStatus( + state=TaskState.working, + timestamp=datetime.now(timezone.utc).isoformat(), + message=Message( + message_id=str(uuid.uuid4()), + role=Role.agent, + parts=[ + Part( + TextPart( + text=f"Method {event.method_name} from flow {event.flow_name} started execution." + ) + ) + ], + ), + ), + context_id=self.context.context_id, + final=False, + metadata={"app_name": self.app_name, "session_id": self.context.context_id}, + ) + ) + + @crewai_event_bus.on(MethodExecutionFinishedEvent) + def on_method_execution_finished(source: Any, event: MethodExecutionFinishedEvent): + self._enqueue_event( + TaskStatusUpdateEvent( + task_id=self.context.task_id, + status=TaskStatus( + state=TaskState.working, + timestamp=datetime.now(timezone.utc).isoformat(), + message=Message( + message_id=str(uuid.uuid4()), + role=Role.agent, + parts=[ + Part( + TextPart( + text=f"Method {event.method_name} from flow {event.flow_name} finished execution." + ) + ) + ], + ), + ), + context_id=self.context.context_id, + final=False, + metadata={"app_name": self.app_name, "session_id": self.context.context_id}, + ) + ) diff --git a/python/pyproject.toml b/python/pyproject.toml index 105149828..cee364b1b 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -1,5 +1,5 @@ [tool.uv.workspace] -members = ["packages/*", "samples/adk/*", "samples/langgraph/*"] +members = ["packages/*", "samples/adk/*", "samples/langgraph/*", "samples/crewai/*"] [dependency-groups] dev = [ diff --git a/python/samples/crewai/poem_flow/Dockerfile b/python/samples/crewai/poem_flow/Dockerfile new file mode 100644 index 000000000..7cc1c03bc --- /dev/null +++ b/python/samples/crewai/poem_flow/Dockerfile @@ -0,0 +1,36 @@ +### STAGE 1: base image +ARG DOCKER_REGISTRY=ghcr.io +ARG VERSION=latest +FROM ghcr.io/astral-sh/uv:python3.13-trixie-slim + +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y \ + build-essential \ + && rm -rf /var/lib/apt/lists/* + +# Copy project files +COPY samples samples +COPY packages packages +COPY pyproject.toml pyproject.toml +COPY README.md README.md +COPY .python-version .python-version +COPY uv.lock uv.lock + +# Install dependencies +RUN uv venv && uv sync --locked --no-dev --package kagent-crewai + +# Set environment variables +ENV PORT=8080 +ENV VIRTUAL_ENV=/app/.venv + +# Expose port +EXPOSE 8080 + +# Health check +HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ + CMD curl -f http://localhost:8080/health || exit 1 + +# Run the application +CMD ["uv", "run", "samples/crewai/poem_flow/src/poem_flow/main.py"] diff --git a/python/samples/crewai/poem_flow/README.md b/python/samples/crewai/poem_flow/README.md new file mode 100644 index 000000000..a6418f5eb --- /dev/null +++ b/python/samples/crewai/poem_flow/README.md @@ -0,0 +1,75 @@ +# Poem Generation Flow Example + +This sample demonstrates how to use the `kagent-crewai` toolkit to run a CrewAI flow as a KAgent-compatible A2A service. + +This example is generated directly from the `crewai create flow poem_flow` command. + +## Quick Start + +1. **Build the agent image**: + + Run the poem-flow-sample target from the top-level Python directory. + + ```bash + make poem-flow-sample + ``` + + This will build the Docker image and push it to your local registry. + +2. **Create secrets for API keys**: + + ```bash + kubectl create secret generic kagent-google -n kagent \ + --from-literal=GOOGLE_API_KEY=$GOOGLE_API_KEY \ + --dry-run=client -o yaml | kubectl apply -f - + ``` + +3. **Deploy the agent**: + + ```bash + kubectl apply -f agent.yaml + ``` + +When interacting with the agent, you do not need to provide any input because the design of the flow does not take in user input for its tasks. + +## Local Development + +1. **Install dependencies from the parent Python directory**: + + Navigate to the main Python directory and install all workspace dependencies: + + ```bash + cd ../../.. # Go to /kagent/python + uv sync --all-extras + ``` + +2. **Set environment variables**: + + ```bash + export KAGENT_URL=http://localhost:8080 + export GEMINI_API_KEY="sk-..." + ``` + +3. **Run the agent server**: + + From the main Python directory: + + ```bash + uv run poem-flow + ``` + + Or from the sample directory: + + ```bash + cd samples/crewai/poem_flow + uv run poem-flow + ``` + +## Configuration + +The agent can be configured via environment variables: + +- `GEMINI_API_KEY`: Required for LLM access +- `KAGENT_URL`: KAgent server URL (default: http://localhost:8080) +- `PORT`: Server port (default: 8080) +- `HOST`: Server host (default: 0.0.0.0) diff --git a/python/samples/crewai/poem_flow/agent.yaml b/python/samples/crewai/poem_flow/agent.yaml new file mode 100644 index 000000000..c77901c0f --- /dev/null +++ b/python/samples/crewai/poem_flow/agent.yaml @@ -0,0 +1,18 @@ +apiVersion: kagent.dev/v1alpha2 +kind: Agent +metadata: + name: poem-flow-agent + namespace: kagent +spec: + description: A flow that uses a crew to generate a poem. + type: BYO + byo: + deployment: + image: localhost:5001/poem-flow:latest + env: + # Note that CrewAI LLM expects GEMINI_API_KEY instead of GOOGLE_API_KEY + - name: GEMINI_API_KEY + valueFrom: + secretKeyRef: + name: kagent-google + key: GOOGLE_API_KEY diff --git a/python/samples/crewai/poem_flow/pyproject.toml b/python/samples/crewai/poem_flow/pyproject.toml new file mode 100644 index 000000000..119cb24d3 --- /dev/null +++ b/python/samples/crewai/poem_flow/pyproject.toml @@ -0,0 +1,26 @@ +[project] +name = "poem_flow" +version = "0.1.0" +description = "poem-flow using crewAI" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "kagent-crewai", + "crewai[tools]>=0.193.2,<1.0.0" +] + +[project.scripts] +kickoff = "poem_flow.main:kickoff" +run_crew = "poem_flow.main:kickoff" +plot = "poem_flow.main:plot" +poem_flow = "poem_flow.main:main" + +[build-system] +requires = ["setuptools>=61.0", "wheel"] +build-backend = "setuptools.build_meta" + +[tool.crewai] +type = "flow" + +[tool.uv.sources] +kagent-crewai = { workspace = true } diff --git a/python/samples/crewai/poem_flow/src/poem_flow/__init__.py b/python/samples/crewai/poem_flow/src/poem_flow/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/python/samples/crewai/poem_flow/src/poem_flow/agent-card.json b/python/samples/crewai/poem_flow/src/poem_flow/agent-card.json new file mode 100644 index 000000000..4834723ff --- /dev/null +++ b/python/samples/crewai/poem_flow/src/poem_flow/agent-card.json @@ -0,0 +1,19 @@ +{ + "name": "poem-flow-agent", + "description": "A flow that generates a poem of a random number of lines.", + "url": "localhost:8080", + "version": "0.1.0", + "capabilities": { + "streaming": true + }, + "defaultInputModes": ["text/plain"], + "defaultOutputModes": ["text"], + "skills": [ + { + "id": "generate-poem", + "name": "Generate a poem", + "description": "Can generate a poem by providing a topic and sentence count as input", + "tags": ["creativity", "writing"] + } + ] +} diff --git a/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/__init__.py b/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/__init__.py new file mode 100644 index 000000000..908859796 --- /dev/null +++ b/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/__init__.py @@ -0,0 +1 @@ +"""Poem crew template.""" diff --git a/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/config/agents.yaml b/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/config/agents.yaml new file mode 100644 index 000000000..e16f1a9e4 --- /dev/null +++ b/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/config/agents.yaml @@ -0,0 +1,12 @@ +poem_writer: + role: > + CrewAI Poem Writer + goal: > + Generate a funny, light hearted poem about how CrewAI + is awesome with a sentence count of {sentence_count} + backstory: > + You're a creative poet with a talent for capturing the essence of any topic + in a beautiful and engaging way. Known for your ability to craft poems that + resonate with readers, you bring a unique perspective and artistic flair to + every piece you write. + llm: gemini/gemini-2.0-flash diff --git a/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/config/tasks.yaml b/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/config/tasks.yaml new file mode 100644 index 000000000..2d8334fbb --- /dev/null +++ b/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/config/tasks.yaml @@ -0,0 +1,7 @@ +write_poem: + description: > + Write a poem about how CrewAI is awesome. + Ensure the poem is engaging and adheres to the specified sentence count of {sentence_count}. + expected_output: > + A beautifully crafted poem about CrewAI, with exactly {sentence_count} sentences. + agent: poem_writer diff --git a/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/poem_crew.py b/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/poem_crew.py new file mode 100644 index 000000000..8c3358097 --- /dev/null +++ b/python/samples/crewai/poem_flow/src/poem_flow/crews/poem_crew/poem_crew.py @@ -0,0 +1,53 @@ +from typing import List + +from crewai import Agent, Crew, Process, Task +from crewai.agents.agent_builder.base_agent import BaseAgent +from crewai.project import CrewBase, agent, crew, task + +# If you want to run a snippet of code before or after the crew starts, +# you can use the @before_kickoff and @after_kickoff decorators +# https://docs.crewai.com/concepts/crews#example-crew-class-with-decorators + + +@CrewBase +class PoemCrew: + """Poem Crew""" + + agents: List[BaseAgent] + tasks: List[Task] + + # Learn more about YAML configuration files here: + # Agents: https://docs.crewai.com/concepts/agents#yaml-configuration-recommended + # Tasks: https://docs.crewai.com/concepts/tasks#yaml-configuration-recommended + agents_config = "config/agents.yaml" + tasks_config = "config/tasks.yaml" + + # If you would lik to add tools to your crew, you can learn more about it here: + # https://docs.crewai.com/concepts/agents#agent-tools + @agent + def poem_writer(self) -> Agent: + return Agent( + config=self.agents_config["poem_writer"], # type: ignore[index] + ) + + # To learn more about structured task outputs, + # task dependencies, and task callbacks, check out the documentation: + # https://docs.crewai.com/concepts/tasks#overview-of-a-task + @task + def write_poem(self) -> Task: + return Task( + config=self.tasks_config["write_poem"], # type: ignore[index] + ) + + @crew + def crew(self) -> Crew: + """Creates the Research Crew""" + # To learn how to add knowledge sources to your crew, check out the documentation: + # https://docs.crewai.com/concepts/knowledge#what-is-knowledge + + return Crew( + agents=self.agents, # Automatically created by the @agent decorator + tasks=self.tasks, # Automatically created by the @task decorator + process=Process.sequential, + verbose=True, + ) diff --git a/python/samples/crewai/poem_flow/src/poem_flow/main.py b/python/samples/crewai/poem_flow/src/poem_flow/main.py new file mode 100644 index 000000000..b31da7570 --- /dev/null +++ b/python/samples/crewai/poem_flow/src/poem_flow/main.py @@ -0,0 +1,80 @@ +#!/usr/bin/env python +import json +import logging +import os +from random import randint + +import uvicorn +from crewai.flow import Flow, listen, start +from kagent.crewai import KAgentApp +from pydantic import BaseModel + +from poem_flow.crews.poem_crew.poem_crew import PoemCrew + +os.makedirs("output", exist_ok=True) + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +class PoemState(BaseModel): + sentence_count: int = 1 + poem: str = "" + + +class PoemFlow(Flow[PoemState]): + @start() + def generate_sentence_count(self): + logging.info("Generating sentence count") + self.state.sentence_count = randint(1, 5) + + @listen(generate_sentence_count) + def generate_poem(self): + logging.info("Generating poem") + result = PoemCrew().crew().kickoff(inputs={"sentence_count": self.state.sentence_count}) + + logging.info("Poem generated", result.raw) + self.state.poem = result.raw + + @listen(generate_poem) + def save_poem(self): + logging.info("Saving poem") + with open("output/poem.txt", "w") as f: + f.write(self.state.poem) + + +# These two methods are for the script that crewai CLI uses +def kickoff(): + poem_flow = PoemFlow() + poem_flow.kickoff() + + +def plot(): + poem_flow = PoemFlow() + poem_flow.plot() + + +# To integrate with Kagent, just replace the kickoff above with the KAgentApp code below +def main(): + """Main entry point to run the KAgent CrewAI server.""" + with open(os.path.join(os.path.dirname(__file__), "agent-card.json"), "r") as f: + agent_card = json.load(f) + + app = KAgentApp(crew=PoemFlow(), agent_card=agent_card) + + server = app.build() + + port = int(os.getenv("PORT", "8080")) + host = os.getenv("HOST", "0.0.0.0") + logger.info(f"Starting server on {host}:{port}") + + uvicorn.run( + server, + host=host, + port=port, + log_level="info", + ) + + +if __name__ == "__main__": + main() diff --git a/python/samples/crewai/research-crew/Dockerfile b/python/samples/crewai/research-crew/Dockerfile new file mode 100644 index 000000000..7a0103403 --- /dev/null +++ b/python/samples/crewai/research-crew/Dockerfile @@ -0,0 +1,36 @@ +### STAGE 1: base image +ARG DOCKER_REGISTRY=ghcr.io +ARG VERSION=latest +FROM ghcr.io/astral-sh/uv:python3.13-trixie-slim + +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y \ + build-essential \ + && rm -rf /var/lib/apt/lists/* + +# Copy project files +COPY samples samples +COPY packages packages +COPY pyproject.toml pyproject.toml +COPY README.md README.md +COPY .python-version .python-version +COPY uv.lock uv.lock + +# Install dependencies +RUN uv venv && uv sync --locked --no-dev --package kagent-crewai + +# Set environment variables +ENV PORT=8080 +ENV VIRTUAL_ENV=/app/.venv + +# Expose port +EXPOSE 8080 + +# Health check +HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ + CMD curl -f http://localhost:8080/health || exit 1 + +# Run the application +CMD ["uv", "run", "samples/crewai/research-crew/src/research_crew/main.py"] diff --git a/python/samples/crewai/research-crew/README.md b/python/samples/crewai/research-crew/README.md new file mode 100644 index 000000000..2fb614fa9 --- /dev/null +++ b/python/samples/crewai/research-crew/README.md @@ -0,0 +1,91 @@ +# Research Crew Sample + +This sample demonstrates how to use the `kagent-crewai` toolkit to run a CrewAI crew as a KAgent-compatible A2A service. + +It follows the standard CrewAI project structure and developer experience, allowing you to define your agents and tasks in Python. + +## Features + +- Research crew with multiple specialized agents +- CrewAI orchestration with KAgent integration +- A2A protocol compatibility +- Web search capabilities via Serper API +- Multi-agent collaboration + +## Quick Start + +1. **Build the agent image**: + + Run the research-crew-sample target from the top-level Python directory. + + ```bash + make research-crew-sample + ``` + +2. **Push to local registry** (if using one): + + ```bash + docker push localhost:5001/research-crew:latest + ``` + +3. **Create secrets for API keys**: + + ```bash + kubectl create secret generic kagent-google -n kagent \ + --from-literal=GOOGLE_API_KEY=$GOOGLE_API_KEY \ + --dry-run=client -o yaml | kubectl apply -f - + + kubectl create secret generic kagent-serper -n kagent \ + --from-literal=SERPER_API_KEY=$SERPER_API_KEY \ + --dry-run=client -o yaml | kubectl apply -f - + ``` + +4. **Deploy the agent**: + + ```bash + kubectl apply -f agent.yaml + ``` + +## Local Development + +1. **Install dependencies from the parent Python directory**: + + Navigate to the main Python directory and install all workspace dependencies: + + ```bash + cd ../../.. # Go to /kagent/python + uv sync --all-extras + ``` + +2. **Set environment variables**: + + ```bash + export KAGENT_URL=http://localhost:8080 + export GEMINI_API_KEY="sk-..." + export SERPER_API_KEY="..." + ``` + +3. **Run the agent server**: + + From the main Python directory: + + ```bash + uv run research-crew + ``` + + Or from the sample directory: + + ```bash + cd samples/crewai/research-crew + uv run research-crew + ``` + +## Configuration + +The agent can be configured via environment variables: + +- `OPENAI_API_KEY`: Required for LLM access +- `SERPER_API_KEY`: Required for web search functionality +- `KAGENT_URL`: KAgent server URL (default: http://localhost:8080) +- `PORT`: Server port (default: 8080) +- `HOST`: Server host (default: 0.0.0.0) diff --git a/python/samples/crewai/research-crew/agent.yaml b/python/samples/crewai/research-crew/agent.yaml new file mode 100644 index 000000000..742cf0825 --- /dev/null +++ b/python/samples/crewai/research-crew/agent.yaml @@ -0,0 +1,23 @@ +apiVersion: kagent.dev/v1alpha2 +kind: Agent +metadata: + name: research-crew-agent + namespace: kagent +spec: + description: A crew that researches a topic and writes a report. + type: BYO + byo: + deployment: + image: localhost:5001/research-crew:latest + env: + # Note that CrewAI LLM expects GEMINI_API_KEY instead of GOOGLE_API_KEY + - name: GEMINI_API_KEY + valueFrom: + secretKeyRef: + name: kagent-google + key: GOOGLE_API_KEY + - name: SERPER_API_KEY + valueFrom: + secretKeyRef: + name: kagent-serper + key: SERPER_API_KEY diff --git a/python/samples/crewai/research-crew/pyproject.toml b/python/samples/crewai/research-crew/pyproject.toml new file mode 100644 index 000000000..a9cab8db0 --- /dev/null +++ b/python/samples/crewai/research-crew/pyproject.toml @@ -0,0 +1,20 @@ +[project] +name = "research-crew" +version = "0.1.0" +description = "A sample research crew using kagent-crewai" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "kagent-crewai", + "crewai[tools]>=0.193.2,<1.0.0" +] + +[build-system] +requires = ["setuptools>=61.0", "wheel"] +build-backend = "setuptools.build_meta" + +[project.scripts] +research-crew = "research_crew.main:main" + +[tool.uv.sources] +kagent-crewai = { workspace = true } diff --git a/python/samples/crewai/research-crew/src/research_crew/__init__.py b/python/samples/crewai/research-crew/src/research_crew/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/python/samples/crewai/research-crew/src/research_crew/agent-card.json b/python/samples/crewai/research-crew/src/research_crew/agent-card.json new file mode 100644 index 000000000..cd148f972 --- /dev/null +++ b/python/samples/crewai/research-crew/src/research_crew/agent-card.json @@ -0,0 +1,20 @@ +{ + "name": "research-crew", + "description": "A research CrewAI agent that can conduct research and analysis", + "url": "localhost:8080", + "version": "0.1.0", + "capabilities": { + "streaming": true + }, + "defaultInputModes": ["application/json", "text/plain"], + "defaultOutputModes": ["text"], + "skills": [ + { + "id": "research-crew", + "name": "Research Crew", + "description": "Can conduct research and analysis by providing a topic as input", + "example": "{\"input\": \"Latest advancements in AI\"}", + "tags": ["research", "analysis"] + } + ] +} diff --git a/python/samples/crewai/research-crew/src/research_crew/config/agents.yaml b/python/samples/crewai/research-crew/src/research_crew/config/agents.yaml new file mode 100644 index 000000000..4cc079f56 --- /dev/null +++ b/python/samples/crewai/research-crew/src/research_crew/config/agents.yaml @@ -0,0 +1,26 @@ +# src/research_crew/config/agents.yaml +researcher: + role: > + Senior Research Specialist for a given topic + goal: > + Find comprehensive and accurate information about a given topic + with a focus on recent developments and key insights + backstory: > + You are an experienced research specialist with a talent for + finding relevant information from various sources. You excel at + organizing information in a clear and structured manner, making + complex topics accessible to others. + llm: gemini/gemini-2.0-flash + +analyst: + role: > + Data Analyst and Report Writer for a given research topic + goal: > + Analyze research findings and create a comprehensive, well-structured + report that presents insights in a clear and engaging way + backstory: > + You are a skilled analyst with a background in data interpretation + and technical writing. You have a talent for identifying patterns + and extracting meaningful insights from research data, then + communicating those insights effectively through well-crafted reports. + llm: gemini/gemini-2.0-flash \ No newline at end of file diff --git a/python/samples/crewai/research-crew/src/research_crew/config/tasks.yaml b/python/samples/crewai/research-crew/src/research_crew/config/tasks.yaml new file mode 100644 index 000000000..d034a9c9b --- /dev/null +++ b/python/samples/crewai/research-crew/src/research_crew/config/tasks.yaml @@ -0,0 +1,38 @@ +# src/research_crew/config/tasks.yaml +research_task: + description: > + {input} + Focus on: + 1. Key concepts and definitions + 2. Historical development and recent trends + 3. Major challenges and opportunities + 4. Notable applications or case studies + 5. Future outlook and potential developments + + Make sure to organize your findings in a structured format with clear sections. + expected_output: > + A comprehensive research document with well-organized sections covering + all the requested aspects of the research topic. Include specific facts, figures, + and examples where relevant. + agent: researcher + +analysis_task: + description: > + Analyze the research findings and create a comprehensive report based on the topic mentioned in user input: + + {input} + + Your report should: + 1. Begin with an executive summary + 2. Include all key information from the research + 3. Provide insightful analysis of trends and patterns + 4. Offer recommendations or future considerations + 5. Be formatted in a professional, easy-to-read style with clear headings + expected_output: > + A polished, professional report on the research topic that presents the research + findings with added analysis and insights. The report should be well-structured + with an executive summary, main sections, and conclusion. + agent: analyst + context: + - research_task + output_file: output/report.md \ No newline at end of file diff --git a/python/samples/crewai/research-crew/src/research_crew/crew.py b/python/samples/crewai/research-crew/src/research_crew/crew.py new file mode 100644 index 000000000..5d7d2a841 --- /dev/null +++ b/python/samples/crewai/research-crew/src/research_crew/crew.py @@ -0,0 +1,53 @@ +# src/research_crew/crew.py +from typing import List + +from crewai import Agent, Crew, Process, Task +from crewai.agents.agent_builder.base_agent import BaseAgent +from crewai.project import CrewBase, agent, crew, task +from crewai_tools import SerperDevTool + + +@CrewBase +class ResearchCrew: + """Research crew for comprehensive topic analysis and reporting""" + + agents: List[BaseAgent] + tasks: List[Task] + + @agent + def researcher(self) -> Agent: + return Agent( + config=self.agents_config["researcher"], # type: ignore[index] + verbose=True, + tools=[SerperDevTool()], + ) + + @agent + def analyst(self) -> Agent: + return Agent( + config=self.agents_config["analyst"], # type: ignore[index] + verbose=True, + ) + + @task + def research_task(self) -> Task: + return Task( + config=self.tasks_config["research_task"] # type: ignore[index] + ) + + @task + def analysis_task(self) -> Task: + return Task( + config=self.tasks_config["analysis_task"], # type: ignore[index] + output_file="output/report.md", + ) + + @crew + def crew(self) -> Crew: + """Creates the research crew""" + return Crew( + agents=self.agents, + tasks=self.tasks, + process=Process.sequential, + verbose=True, + ) diff --git a/python/samples/crewai/research-crew/src/research_crew/main.py b/python/samples/crewai/research-crew/src/research_crew/main.py new file mode 100644 index 000000000..27b906f43 --- /dev/null +++ b/python/samples/crewai/research-crew/src/research_crew/main.py @@ -0,0 +1,39 @@ +import json +import logging +import os + +import uvicorn +from kagent.crewai import KAgentApp + +from research_crew.crew import ResearchCrew + +os.makedirs("output", exist_ok=True) + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +def main(): + """Main entry point to run the KAgent CrewAI server.""" + # 1. Load the agent card or define it inline + with open(os.path.join(os.path.dirname(__file__), "agent-card.json"), "r") as f: + agent_card = json.load(f) + + # 2. Load the Crew, then create the kagent app + app = KAgentApp(crew=ResearchCrew().crew(), agent_card=agent_card) + + # 3. Build the FastAPI app and run the server + server = app.build() + port = int(os.getenv("PORT", "8080")) + host = os.getenv("HOST", "0.0.0.0") + logger.info(f"Starting server on {host}:{port}") + uvicorn.run( + server, + host=host, + port=port, + log_level="info", + ) + + +if __name__ == "__main__": + main() diff --git a/python/samples/langgraph/currency/Dockerfile b/python/samples/langgraph/currency/Dockerfile index d6b2dad94..809b1d1f5 100644 --- a/python/samples/langgraph/currency/Dockerfile +++ b/python/samples/langgraph/currency/Dockerfile @@ -1,7 +1,7 @@ ### STAGE 1: base image ARG DOCKER_REGISTRY=ghcr.io ARG VERSION=latest -FROM python:3.13-slim +FROM ghcr.io/astral-sh/uv:python3.13-trixie-slim WORKDIR /app @@ -10,9 +10,6 @@ RUN apt-get update && apt-get install -y \ build-essential \ && rm -rf /var/lib/apt/lists/* -# Install uv for fast Python package management -RUN pip install uv - # Copy project files COPY samples samples COPY packages packages diff --git a/python/uv.lock b/python/uv.lock index 7be82b914..ac456ea77 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 2 +revision = 3 requires-python = ">=3.13" [manifest] @@ -8,7 +8,10 @@ members = [ "currency", "kagent-adk", "kagent-core", + "kagent-crewai", "kagent-langgraph", + "poem-flow", + "research-crew", ] [manifest.dependency-groups] @@ -164,6 +167,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/6f/12/e5e0282d673bb9746bacfb6e2dba8719989d3660cdb2ea79aee9a9651afb/anyio-4.10.0-py3-none-any.whl", hash = "sha256:60e474ac86736bbfd6f210f7a61218939c318f43f9972497381f1c5e930ed3d1", size = 107213, upload-time = "2025-08-04T08:54:24.882Z" }, ] +[[package]] +name = "appdirs" +version = "1.4.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d7/d8/05696357e0311f5b5c316d7b95f46c669dd9c15aaeecbb48c7d0aeb88c40/appdirs-1.4.4.tar.gz", hash = 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