mirror of
https://github.com/BerriAI/litellm.git
synced 2026-10-12 03:48:56 +00:00
56bafc29cf
* feat(gemini): accept file content blocks with video_metadata on multimodal embeddings * test(gemini): annotate the embedding mock helper and keep the type comment short * fix(gemini-embeddings): keep file blocks through a partial embedding cache hit and validate video_metadata strictly * test(caching): type the partial-hit cache test and pin its clock * fix(gemini-embeddings): accept the Files API URI /v1/files returns as a file block's file_id * fix(gemini-embeddings): 400 on bad input shapes, drop unknown block keys under drop_params, cache multi-block inputs A bare object `input` answered 500 from both the caching handler and the transformation; both now answer 400. An unresolved `files/` reference on vertex_ai/ answered a ValueError 500; it now answers 400 naming the gemini/ provider. An empty `format` passed through to the provider; it now answers 400 naming file.format. Unknown block keys (`detail`, an unknown video_metadata key, a top-level block key) are dropped under drop_params, global or per-request, and still answer 400 without it. The embedding cache counted file blocks against `max_messages`, so a request with 5 or more blocks was never cached; file blocks no longer count. * fix(caching): answer 400 for an object embedding input on the cache lookup * test(gemini-embeddings): annotate the new embedding tests with return types and Final * test(gemini-embeddings): annotate the transformation and files batch tests with return types and Final * test(gemini-embeddings): audit file content blocks on the wire, in the cache, in batch uploads and under chaos Integration cells for gemini/ and vertex_ai/ embedding file blocks with video_metadata: the batchEmbedContents and embedContent wire shapes, format overrides, nested and repeated inputs, every malformed block answering 400 before any provider call, drop_params at the request, deployment and YAML levels, the OpenAI SDK sync and async clients, Redis cache fills, hits, partial hits and the metadata in the key with zero-spend hit rows, chat, responses and messages controls, the vertex_ai/ batch JSONL upload, a mixed fast/slow/malformed/dropped burst and a worker kill. The wire peer now reads chunked request bodies, which the streamed GCS media upload sends * test(integration): treat an upload the client abandons before its terminating chunk as a disconnect, never a stored request --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
||
|---|---|---|
| .. | ||
| __init__.py | ||
| test_azure_blob_cache.py | ||
| test_cache_preset_key.py | ||
| test_caching.py | ||
| test_caching_handler.py | ||
| test_check_and_fix_namespace_none_guard.py | ||
| test_disk_cache.py | ||
| test_dual_cache.py | ||
| test_embedding_router.py | ||
| test_evicted_client_closer.py | ||
| test_gcs_cache.py | ||
| test_in_memory_cache.py | ||
| test_llm_caching_handler.py | ||
| test_llm_client_cache_e2e.py | ||
| test_qdrant_semantic_cache.py | ||
| test_redis_batch.py | ||
| test_redis_cache.py | ||
| test_redis_cluster_cache.py | ||
| test_redis_cluster_node_isolation.py | ||
| test_redis_connection_pool.py | ||
| test_redis_semantic_cache.py | ||
| test_request_redis_batch_post_call.py | ||
| test_request_redis_batch_pre_call.py | ||
| test_responses_stream_cache_keys.py | ||
| test_s3_cache.py | ||
| test_unit_test_caching.py | ||
| test_valkey_semantic_cache.py | ||