Agent skill

vcr-http-recording

VCR.py HTTP recording for Python tests. Use when testing Python code making HTTP requests, recording API responses for replay, or creating deterministic tests for external services.

View SKILL.md on GitHub Repository
Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/vcr-http-recording

SKILL.md

VCR.py HTTP Recording

Record and replay HTTP interactions for Python tests.

When to Use

  • External API testing
  • Deterministic HTTP tests
  • Avoiding live API calls in CI
  • LLM API response recording

Basic Setup

python
# conftest.py
import pytest

@pytest.fixture(scope="module")
def vcr_config():
    return {
        "cassette_library_dir": "tests/cassettes",
        "record_mode": "once",
        "match_on": ["uri", "method"],
        "filter_headers": ["authorization", "x-api-key"],
        "filter_query_parameters": ["api_key", "token"],
    }

Basic Usage

python
import pytest

@pytest.mark.vcr()
def test_fetch_user():
    response = requests.get("https://api.example.com/users/1")

    assert response.status_code == 200
    assert response.json()["name"] == "John Doe"

@pytest.mark.vcr("custom_cassette.yaml")
def test_with_custom_cassette():
    response = requests.get("https://api.example.com/data")
    assert response.status_code == 200

Async Support

python
import pytest
from httpx import AsyncClient

@pytest.mark.asyncio
@pytest.mark.vcr()
async def test_async_api_call():
    async with AsyncClient() as client:
        response = await client.get("https://api.example.com/data")

    assert response.status_code == 200
    assert "items" in response.json()

Recording Modes

python
@pytest.fixture(scope="module")
def vcr_config():
    import os

    # CI: never record, only replay
    if os.environ.get("CI"):
        record_mode = "none"
    else:
        record_mode = "new_episodes"

    return {"record_mode": record_mode}
Mode Behavior
once Record if missing, then replay
new_episodes Record new, replay existing
none Never record (CI)
all Always record (refresh)

Filtering Sensitive Data

python
def filter_request_body(request):
    """Redact sensitive data from request body."""
    import json
    if request.body:
        try:
            body = json.loads(request.body)
            if "password" in body:
                body["password"] = "REDACTED"
            if "api_key" in body:
                body["api_key"] = "REDACTED"
            request.body = json.dumps(body)
        except json.JSONDecodeError:
            pass
    return request

@pytest.fixture(scope="module")
def vcr_config():
    return {
        "filter_headers": ["authorization", "x-api-key"],
        "before_record_request": filter_request_body,
    }

LLM API Testing

python
def llm_request_matcher(r1, r2):
    """Match LLM requests ignoring dynamic fields."""
    import json

    if r1.uri != r2.uri or r1.method != r2.method:
        return False

    body1 = json.loads(r1.body)
    body2 = json.loads(r2.body)

    # Ignore dynamic fields
    for field in ["request_id", "timestamp"]:
        body1.pop(field, None)
        body2.pop(field, None)

    return body1 == body2

@pytest.fixture(scope="module")
def vcr_config():
    return {
        "custom_matchers": [llm_request_matcher],
    }

Cassette File Example

yaml
# tests/cassettes/test_fetch_user.yaml
interactions:
- request:
    body: null
    headers:
      Content-Type: application/json
    method: GET
    uri: https://api.example.com/users/1
  response:
    body:
      string: '{"id": 1, "name": "John Doe"}'
    status:
      code: 200
version: 1

Key Decisions

Decision Recommendation
Record mode once for dev, none for CI
Cassette format YAML (readable)
Sensitive data Always filter headers/body
Custom matchers Use for LLM APIs

Common Mistakes

  • Committing cassettes with real API keys
  • Using all mode in CI (makes live calls)
  • Not filtering sensitive data
  • Missing cassettes in git

Related Skills

  • msw-mocking - Frontend equivalent
  • integration-testing - API testing patterns
  • llm-testing - LLM-specific patterns

Recommended Agent Skills

Expand your agent's capabilities with these related and highly-rated skills.

majiayu000/claude-skill-registry

agent-ops-spec

Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-state

Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-spec

Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-testing

Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-testing

Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-state

Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

163 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results