Cache AI/LLM calls into file-based cassettes for deterministic integration tests.
npx skills add https://github.com/jamesaphoenix/tx-agent-kit --skill ai-vcr-test
Please help me install this Agent Skill. Skill: ai-vcr-test Source: https://github.com/jamesaphoenix/tx-agent-kit/tree/main/.claude/skills/ai-vcr-test Command: npx skills add https://github.com/jamesaphoenix/tx-agent-kit --skill ai-vcr-test
Cache expensive AI/LLM calls to deliver deterministic integration tests by persisting responses as cassettes, enabling fast, offline CI runs and reliable local development.
Run your integration tests once to record cassettes, then run again to replay deterministically.
High-intent search queries and answers about installing and using this skill.
To cache AI model calls for deterministic integration tests, you wrap the function directly with a custom VCR that records responses into file-based cassettes. Subsequent test runs replay these cassettes, ensuring fast, offline CI execution and reliable local development.
Testing AI streaming edge cases and HTTP errors is handled through MSW-based HTTP interception. This allows you to simulate precise error scenarios and streaming edge cases deterministically without relying on live network requests.
Keeping secrets safe when recording AI test cassettes is achieved by applying scrub rules and redaction. This automatically redacts sensitive credentials from the recorded data before it is persisted to the file-based cassette store.
You can use flexible replay and record VCR modes for per-suite cassette management in local development. This allows you to deterministically replay cached AI calls or record new ones as needed for each specific test suite.
VCR caching works for AI embeddings and evaluations during tests by applying operation-level caching directly to the function calls. It generates deterministic cache keys via stable input hashing, capturing these interactions within the recorded cassettes.
anderskevTest PydanticAI agents deterministically with TestModel, FunctionModel, and VCR cassettes.
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pydanticParse VCR cassette YAML files into readable request and response summaries.
