agent-replay-py 0.1.0

Record & replay LLM API calls for deterministic agent tests.

agent-replay (Python)

Record & replay LLM API calls for deterministic agent tests.

agent-replay captures the HTTP traffic your agent makes to LLM providers (Anthropic, OpenAI, …) into a human-readable JSONL "cassette", then plays it back on subsequent runs so your tests are fast, offline, and deterministic — while still flagging when a prompt has drifted away from what was recorded.

Install

pip install agent-replay-py

The install name is agent-replay-py; the import name is agentreplay (there is an unrelated agentreplay project on PyPI, so we distinguish the distribution name).

Optional extras:

pip install "agent-replay-py[pytest]"   # pytest fixture & marker

Quick start

import agentreplay as ar

with ar.cassette("tests/cassettes/hello.jsonl", mode="auto") as c:
    client = c.httpx_client()   # a preconfigured httpx.Client
    r = client.post(
        "https://api.anthropic.com/v1/messages",
        json={"model": "claude-3", "messages": [{"role": "user", "content": "hi"}]},
    )
    print(r.json())

• First run: the cassette file doesn't exist yet → records the real response.
• Later runs: the file exists → serves the recorded response, no network.
• mode accepts "record" | "replay" | "auto" | "passthrough", and can be overridden globally via AGENTREPLAY_MODE.

Async is the same shape:

async with ar.cassette("tests/cassettes/hello.jsonl") as c:
    async with c.httpx_async_client() as client:
        r = await client.post(...)

pytest

agent-replay ships a pytest plugin. Cassettes are auto-named from the test node id and stored under tests/cassettes/.

import pytest

@pytest.mark.agentreplay(mode="auto")
def test_agent(agentreplay):
    client = agentreplay.httpx_client()
    ...

CLI

agentreplay inspect tests/cassettes/hello.jsonl   # header + summary
agentreplay show    tests/cassettes/hello.jsonl 0 # pretty-print seq 0
agentreplay verify  tests/cassettes/hello.jsonl   # re-check fingerprints

Divergence

When the request your code sends no longer matches what was recorded (a prompt changed, a tool schema was edited, …), agent-replay produces a structured diff (ar.Report) instead of silently returning stale data. The divergence policy ("warn" | "error") controls whether it raises.

License

MIT — see LICENSE.

The TypeScript sibling of this package lives at @retr0hxx/agent-replay.