Uses test_id in request hashes and test-scoped subdirectories to prevent cross-test contamination. Model list endpoints exclude test_id to enable merging recordings from different servers. Additionally, this PR adds a `record-if-missing` mode (which we will use instead of `record` which records everything) which is very useful. 🤖 Co-authored with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude <noreply@anthropic.com>
2.1 KiB
Test Recording System
This directory contains recorded inference API responses used for deterministic testing without requiring live API access.
Structure
responses/
- JSON files containing request/response pairs for inference operations
Recording Format
Each JSON file contains:
request
- The normalized request parameters (method, endpoint, body)response
- The response body (serialized from Pydantic models)
Normalization
To reduce noise in git diffs, the recording system automatically normalizes fields that vary between runs but don't affect test behavior:
OpenAI-style responses
id
- Deterministic hash based on request:rec-{request_hash[:12]}
created
- Normalized to epoch:0
Ollama-style responses
created_at
- Normalized to:"1970-01-01T00:00:00.000000Z"
total_duration
- Normalized to:0
load_duration
- Normalized to:0
prompt_eval_duration
- Normalized to:0
eval_duration
- Normalized to:0
These normalizations ensure that re-recording tests produces minimal git diffs, making it easier to review actual changes to test behavior.
Usage
Replay mode (default)
Responses are replayed from recordings:
LLAMA_STACK_TEST_INFERENCE_MODE=replay pytest tests/integration/
Record-if-missing mode (recommended for adding new tests)
Records only when no recording exists, otherwise replays. Use this for iterative development:
LLAMA_STACK_TEST_INFERENCE_MODE=record-if-missing pytest tests/integration/
Recording mode
Force-records all API interactions, overwriting existing recordings. Use with caution:
LLAMA_STACK_TEST_INFERENCE_MODE=record pytest tests/integration/
Live mode
Skip recordings entirely and use live APIs:
LLAMA_STACK_TEST_INFERENCE_MODE=live pytest tests/integration/
Re-normalizing Existing Recordings
If you need to apply normalization to existing recordings (e.g., after updating the normalization logic):
python scripts/normalize_recordings.py
Use --dry-run
to preview changes without modifying files.