llama-stack-mirror/tests
skamenan7 f5c1935c18 fix: Resolve Llama4 tool calling 500 errors
This commit addresses issue #2584 by:
- Implementing lazy torch imports in llama4/chat_format.py and datatypes.py to prevent ModuleNotFoundError in torch-free environments.
- Adding comprehensive unit tests to verify that text-only functionality works without torch and that vision features fail gracefully.
- Ensuring the module remains importable and functional for text-based operations, thus resolving the 500 internal server errors.
2025-07-23 15:20:17 -04:00
..
client-sdk/post_training feat: Add nemo customizer (#1448) 2025-03-25 11:01:10 -07:00
common feat(responses): implement full multi-turn support (#2295) 2025-06-02 15:35:49 -07:00
external-provider/llama-stack-provider-ollama refactor: set proper name for embedding all-minilm:l6-v2 and update to use "starter" in detailed_tutorial (#2627) 2025-07-06 09:07:37 +05:30
integration chore(test): fix flaky telemetry tests (#2815) 2025-07-22 12:30:14 -07:00
unit fix: Resolve Llama4 tool calling 500 errors 2025-07-23 15:20:17 -04:00
verifications fix(ollama): Download remote image URLs for Ollama (#2551) 2025-06-30 20:36:11 +05:30
__init__.py refactor(test): introduce --stack-config and simplify options (#1404) 2025-03-05 17:02:02 -08:00
Containerfile ci: test safety with starter (#2628) 2025-07-09 16:53:50 +02:00
README.md docs: revamp testing documentation (#2155) 2025-05-13 11:28:29 -07:00

Llama Stack Tests

Llama Stack has multiple layers of testing done to ensure continuous functionality and prevent regressions to the codebase.

Testing Type Details
Unit unit/README.md
Integration integration/README.md
Verification verifications/README.md