ECP Python SDK
Python SDK for building agents that comply with the Evaluation Context Protocol (ECP).
ECP is a vendor-neutral protocol for testing agent outputs, tool calls, and evaluator-visible audit context across frameworks, models, eval platforms, and CI systems.
Install
pip install "ecp-sdk==0.9.0"
Framework extras:
pip install "ecp-sdk[langchain]==0.9.0"
pip install "ecp-sdk[crewai]==0.9.0"
pip install "ecp-sdk[llamaindex]==0.9.0"
pip install "ecp-sdk[pydanticai]==0.9.0"
Usage
from ecp import Result, agent, on_step, serve
@agent(name="MyAgent")
class MyAgent:
@on_step
def step(self, user_input: str):
return Result(
public_output=f"Echo: {user_input}",
evaluation_context="Echoed the input for evaluation.",
tool_calls=[{"name": "echo", "arguments": {"text": user_input}}],
)
if __name__ == "__main__":
serve(MyAgent())
evaluation_context is the preferred field for evaluator-safe audit evidence. private_thought is still accepted as a deprecated compatibility alias.
Async lifecycle hooks
@on_step and @on_reset may be synchronous functions or async def coroutines. The SDK awaits async hooks on one persistent event loop, so loop-bound clients and other async resources can be reused across requests.
import asyncio
from ecp import Result, agent, on_reset, on_step, serve
@agent(name="AsyncAgent")
class AsyncAgent:
@on_step
async def step(self, user_input: str) -> Result:
await asyncio.sleep(0.01)
return Result(public_output=f"Processed: {user_input}")
@on_reset
async def reset(self) -> None:
await asyncio.sleep(0)
if __name__ == "__main__":
serve(AsyncAgent())
The same hooks work with serve_http(...). See examples/async_python_demo for a runnable agent that supports either transport.
Streamable HTTP
Agents can also run as an ECP Streamable HTTP server:
if __name__ == "__main__":
ecp.serve_http(MyAgent(), host="127.0.0.1", port=8765, path="/ecp")
The endpoint accepts JSON-RPC POST requests at /ecp. It returns JSON for requests, 202 Accepted for notifications, and 405 Method Not Allowed for GET SSE streams until ECP defines server-initiated messages.
Testing Your Own Adapter
The bundled adaptors are a convenience, not a requirement - any framework works
if you return a Result. If you write your own, ecp.testing is the same
harness the built-in adaptors use, so you can pin its behaviour without
installing your framework in CI or holding API keys:
from ecp.testing import record_fixture, replay
# Once, with the framework installed and credentials set:
fixture = record_fixture("crewai", crew, "What is 15 multiplied by 8?")
fixture.save("tests/fixtures/crew_calculator.json")
# Then in CI, offline:
from ecp.testing import AdapterFixture, diff_expected
assert diff_expected(AdapterFixture.load("tests/fixtures/crew_calculator.json")) == []
record_fixture captures the framework's real response object and the Result
your adapter produced from it. replay re-runs the adapter against that capture.
When a framework reshapes its internals, your tool_calls would otherwise go
quietly empty and every tool_usage grader would fail as if the agent had
regressed - this turns that into a clear test failure.
Links
- Documentation: https://evaluationcontextprotocol.io/
- Repository: https://github.com/evaluation-context-protocol/ecp
- Issues: https://github.com/evaluation-context-protocol/ecp/issues
Metadata
Release files for ecp-sdk 0.9.0
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| File | Size | Uploaded | |
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| ecp_sdk-0.9.0.tar.gz | 25.6 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ecp_sdk-0.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.1 kB
Release files / ecp_sdk-0.9.0.tar.gz
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