- Route publisher/model ids (e.g. xai/grok) to .../endpoints/openapi; keep model in JSON body
- Add model_prices keys for vertex_ai/openai/xai/grok-*
- Document xAI Grok on vertex_partner (aligned with GPT-OSS)
- Add tests for create_vertex_url and body-model heuristic
Made-with: Cursor
Success handlers already run when CustomStreamWrapper or
CachedResponsesAPIStreamingIterator finishes replay. Logging at
cache-hit time for acompletion/completion streaming duplicated spend
and callbacks. Align tests with deferred behavior.
Made-with: Cursor
_base_process_chunk only encodes response IDs when parsed_chunk contains
a top-level "response" key. Align test_process_chunk_completed_response_
updates_id_and_usage_cost with that contract and test_base_responses_api_streaming_iterator.
Made-with: Cursor
The test supplies a minimal PDF base64 payload but expected the wrong
constant (base64 for "test"). Assert against the same pdf_b64 value
and drop the unused import.
Made-with: Cursor
* fix(bedrock): handle document content blocks in Converse API message conversion
Document content blocks (used for PDF support) were silently dropped
during message conversion for Bedrock's Converse API. The content block
processing loop only handled text, image_url, and file types — document
blocks were skipped without warning, causing the model to respond as if
no document was provided.
Adds document block handling in three locations:
- Sync user message processing (_bedrock_converse_messages_pt)
- Async user message processing (_bedrock_converse_messages_pt_async)
- Tool result conversion (_convert_to_bedrock_tool_call_result)
Fixes#24641
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: use _validate_format for proper MIME type to Bedrock format mapping
Address Greptile review: naive media_type.split("/")[1] produced invalid
Bedrock format names for complex MIME types (e.g. OOXML → docx, text/plain
→ txt, text/markdown → md). Now reuses BedrockImageProcessor._validate_format
which handles all MIME types correctly via mimetypes + fallback.
Also fixes test assertions to expect correct Bedrock format values and adds
text/plain and text/markdown test cases.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: reject non-base64 document sources with a clear error
URL-type document sources (e.g. {"type": "url", "url": "..."}) would
crash with an opaque KeyError on missing 'media_type'. Guard at the top
of _process_document_message and raise a clear ValueError since Bedrock
Converse only supports base64-encoded document sources.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The /v2/model/info endpoint (used by the UI's Models + Endpoints page)
was not resolving access group names when filtering models by team.
When a team has models: ["Group-A"] where "Group-A" is an access group,
_filter_models_by_team_id() passed it as a literal model name to
get_model_list(), which found no deployments with that name. This caused
the UI to show all models instead of only team-accessible ones.
The request-time auth path (model_in_access_group in auth_checks.py)
correctly resolves access groups via get_model_access_groups(). This
fix applies the same resolution in _filter_models_by_team_id() for both
the in-memory router lookup and the database fallback query.
Tests added:
- test_filter_resolves_access_group_names
- test_filter_resolves_mix_of_access_groups_and_literal_names
- test_filter_excludes_models_from_other_access_group
- test_filter_db_fallback_receives_resolved_model_names
When model_info.id equals model_name (common for batch models), the router
resolves via has_model_id and returns one deployment dict instead of a list.
The dict branch incorrectly iterated deployment keys (model_name,
litellm_params, model_info), producing non-string values that broke
LiteLLM_ManagedFileTable validation on managed file upload.
Normalize list vs dict by wrapping single deployments and extracting
model_info.id for each response pair.
Add regression tests including the batch model id == model_name case.
Made-with: Cursor
The async/sync delete_response_api_handler always passed json=data into
httpx.delete, where data is {} from the transformer. httpx serializes that
to a 2-byte body. The Azure Responses DELETE endpoint now rejects any
request body with code: unexpected_body, breaking
test_basic_openai_responses_delete_endpoint on the llm_responses_api_testing
job. Build the kwargs dict and only set json= when data is truthy.
Add unit tests that patch httpx.delete and assert json/data are not in the
captured kwargs for the Azure DELETE path (sync and async).
