Update documentation to reflect actual API response format:
- Change singular 'image' field to plural 'images' array
- Add complete ImageURLListItem structure with index and type fields
- Update all code examples to use message.images instead of message.image
- Fix streaming examples to access images[0]["image_url"]["url"]
The documentation was incorrectly showing 'image' (singular object)
but the actual implementation returns 'images' (array of ImageURLListItem).
Related to issue #16227
* fix: minor fixes to mcp streaming with bedrock
* fix(bedrock/): working bedrock with mcp tools
handle empty description
* test: add unit test
* test: test fixes
* fix(vector_store_registry.py): load vector store with litellm params from config.yaml
fixes minor issue where litellm params weren't being loaded in from config.yaml
* docs(knowledgebase.md): document azure vector store current limitation
* fix(opentelemetry.py): add hidden params to otel logs
Fixes LIT-1274
* fix: fix test
* Implement fix for thinking_blocks and converse API calls
This fixes Claude's models via the Converse API, which should also fix
Claude Code.
* Add thinking literal
* Fix mypy issues
* Type fix for redacted thinking
* Add voyage model integration in sagemaker
* Add config file logic
* Use already exiting voyage transformation
* refactor code as per comments
* fix merge error
* refactor code as per comments
* refactor code as per comments
* UI new build
* [Fix] router - regression when adding/removing models (#15451)
* fix(router): update model_name_to_deployment_indices on deployment removal
When a deployment is deleted, the model_name_to_deployment_indices map
was not being updated, causing stale index references. This could lead
to incorrect routing behavior when deployments with the same model_name
were dynamically removed.
Changes:
- Update _update_deployment_indices_after_removal to maintain
model_name_to_deployment_indices mapping
- Remove deleted indices and decrement indices greater than removed index
- Clean up empty entries when no deployments remain for a model name
- Update test to verify proper index shifting and cleanup behavior
* fix(router): remove redundant index building during initialization
Remove duplicate index building operations that were causing unnecessary
work during router initialization:
1. Removed redundant `_build_model_id_to_deployment_index_map` call in
__init__ - `set_model_list` already builds all indices from scratch
2. Removed redundant `_build_model_name_index` call at end of
`set_model_list` - the index is already built incrementally via
`_create_deployment` -> `_add_model_to_list_and_index_map`
Both indices (model_id_to_deployment_index_map and
model_name_to_deployment_indices) are properly maintained as lookup
indexes through existing helper methods. This change eliminates O(N)
duplicate work during initialization without any behavioral changes.
The indices continue to be correctly synchronized with model_list on
all operations (add/remove/upsert).
* fix(prometheus): Fix Prometheus metric collection in a multi-workers environment (#14929)
Co-authored-by: sotazhang <sotazhang@tencent.com>
* Add tiered pricing and cost calculation for xai
* Use generic cost calculator
* Resolve conflicts in generated HTML files
* Remove penalty params as supported params for gemini preview model (#15503)
* fix conversion of thinking block
* add application level encryption in SQS (#15512)
* docs: fix doc
* docs(index.md): bump rc
* [Fix] GEMINI - CLI - add google_routes to llm_api_routes (#15500)
* fix: add google_routes to llm_api_routes
* test: test_virtual_key_llm_api_routes_allows_google_routes
* build: bump version
* bump: version 1.78.0 → 1.78.1
* add application level encryption in SQS
* add application level encryption in SQS
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: deepanshu <deepanshu.lulla@hq.bill.com>
* [Feat] Bedrock Knowledgebase - return search_response when using /chat/completions API with LiteLLM (#15509)
* docs: fix doc
* docs(index.md): bump rc
* [Fix] GEMINI - CLI - add google_routes to llm_api_routes (#15500)
* fix: add google_routes to llm_api_routes
* test: test_virtual_key_llm_api_routes_allows_google_routes
* add AnthropicCitation
* fix async_post_call_success_deployment_hook
* fix add vector_store_custom_logger to global callbacks
* test_e2e_bedrock_knowledgebase_retrieval_with_llm_api_call
* async_post_call_success_deployment_hook
* add async_post_call_streaming_deployment_hook
* async def test_e2e_bedrock_knowledgebase_retrieval_with_llm_api_call_streaming(setup_vector_store_registry):
* fix _call_post_streaming_deployment_hook
* fix async_post_call_streaming_deployment_hook
* test update
* docs: Accessing Search Results
* docs KB
* fix chatUI
* fix searchResults
* fix onSearchResults
* fix kb
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* [Feat] Add dynamic rate limits on LiteLLM Gateway (#15518)
* docs: fix doc
* docs(index.md): bump rc
* [Fix] GEMINI - CLI - add google_routes to llm_api_routes (#15500)
* fix: add google_routes to llm_api_routes
* test: test_virtual_key_llm_api_routes_allows_google_routes
* build: bump version
* bump: version 1.78.0 → 1.78.1
* fix: KeyRequestBase
* fix rpm_limit_type
* fix dynamic rate limits
* fix use dynamic limits here
* fix _should_enforce_rate_limit
* fix _should_enforce_rate_limit
* fix counter
* test_dynamic_rate_limiting_v3
* use _create_rate_limit_descriptors
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* Add google rerank endpoint
* Add docs
* fix mypy error
* fix mypy and lint errors
* Add haiku 4.5 integration
* Add haiku 4.5 integration for other regions as well
* Handle citation field correctly
* Fix filtering headers for signature calcs
* Add haiku 4.5 integration (#15650)
---------
Co-authored-by: Leslie Cheng <leslie.cheng5@gmail.com>
Co-authored-by: Sameer Kankute <sameer@berri.ai>
Co-authored-by: Alexsander Hamir <alexsanderhamirgomesbaptista@gmail.com>
Co-authored-by: Lucas <10226902+LoadingZhang@users.noreply.github.com>
Co-authored-by: sotazhang <sotazhang@tencent.com>
Co-authored-by: Deepanshu Lulla <deepanshu.lulla@gmail.com>
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: deepanshu <deepanshu.lulla@hq.bill.com>
* docs: Corrected documentation updates from Sept 2025
This PR contains the actual intended documentation changes, properly synced with main:
✅ Real changes applied:
- Added AWS authentication link to bedrock guardrails documentation
- Updated Vertex AI with Gemini API alternative configuration
- Added async_post_call_success_hook code snippet to custom callback docs
- Added SSO free for up to 5 users information to enterprise and custom_sso docs
- Added SSO free information block to security.md
- Added cancel response API usage and curl example to response_api.md
- Added image for modifying default user budget via admin UI
- Re-ordered sidebars in documentation
❌ Sync issues resolved:
- Kept all upstream changes that were added to main after branch diverged
- Preserved Provider-Specific Metadata Parameters section that was added upstream
- Maintained proper curl parameter formatting (-d instead of -D)
This corrects the sync issues from the original PR #14769.
* docs: Restore missing files from original PR
Added back ~16 missing documentation files that were part of the original PR:
✅ Restored files:
- docs/my-website/docs/completion/usage.md
- docs/my-website/docs/fine_tuning.md
- docs/my-website/docs/getting_started.md
- docs/my-website/docs/image_edits.md
- docs/my-website/docs/image_generation.md
- docs/my-website/docs/index.md
- docs/my-website/docs/moderation.md
- docs/my-website/docs/observability/callbacks.md
- docs/my-website/docs/providers/bedrock.md
- docs/my-website/docs/proxy/caching.md
- docs/my-website/docs/proxy/config_settings.md
- docs/my-website/docs/proxy/db_deadlocks.md
- docs/my-website/docs/proxy/load_balancing.md
- docs/my-website/docs/proxy_api.md
- docs/my-website/docs/rerank.md
✅ Fixed context-caching issue:
- Restored provider_specific_params.md to main version (preserving Provider-Specific Metadata Parameters section)
- Your original PR didn't intend to modify this file - it was just a sync issue
Now includes all ~26 documentation files from the original PR #14769.
* docs: Remove files that were deleted in original PR
- Removed docs/my-website/docs/providers/azure_ai_img_edit.md (was deleted in original PR)
- sdk/headers.md was already not present
Now matches the complete intended changes from original PR #14769.
* docs: Restore azure_ai_img_edit.md from main
- Restored docs/my-website/docs/providers/azure_ai_img_edit.md from main branch
- This file should not have been deleted as it was a newer commit
- SDK headers file doesn't exist in main (was reverted) and wasn't part of your original changes
Fixes the file restoration issues.
* docs: Fix vertex.md - preserve context caching from newer commit
- Restored vertex.md to main version to preserve context caching content (lines 817-887)
- Added back only your intended change: alternative gemini config example
- Context caching content from newer commit is now preserved
Fixes the vertex.md sync issue where newer content was incorrectly deleted.
* docs: Fix providers/bedrock.md - restore deleted content from newer commit
- Restored providers/bedrock.md to main version
- Preserves 'Usage - Request Metadata' section that was added in newer commit
- Your actual intended change was to proxy/guardrails/bedrock.md (authentication tip) which is preserved
- Now only has additions, no subtractions as intended
Fixes the bedrock.md sync issue.
* docs: Restore missing IAM policy section in bedrock.md
Added back your intended IAM policy documentation that was lost when restoring main version:
✅ Added IAM AssumeRole Policy section:
- Explains requirement for sts:AssumeRole permission
- Shows error message example when permission missing
- Provides complete IAM policy JSON example
- Links to AWS AssumeRole documentation
- Clarifies trust policy requirements
Now bedrock.md has both:
- All newer content preserved (Request Metadata section)
- Your intended IAM policy addition restored
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Allow passing aiohttp.ClientSession to acompletion() calls for better
performance and resource management. Includes debug logging, tests,
and documentation. Backward compatible.
- Change parameter from request_metadata to requestMetadata to match camelCase convention
- Consistent with guardrailConfig and performanceConfig naming pattern
- Update all references in transformation code and error messages
- Update tests and documentation to use correct parameter name
- Fix type checking for parameter validation
* Get the basics of the integration working.
* Cleanup bytez integration.
* Update user agent for Bytez integration.
* Use the config class directly. Create the start of the docs.
* Finish up bytez documentation. Include a provider integration guide.
* Fix typing bug in custom_logger_utils. Add tests for bytez integration.
* Add token tracking for model usage for Bytez integration.
* Create a units test for the Bytez config.
* Make changes to Bytez transformation code per PR feedback.
* Cleanup coment in Bytez transformation test.
* Remove LRU usage for bytez integration.
* Consolidate Bytez tests into a single file. Conform to project structure for tests.
* Fix linting error with Bytez impl.
* Update web_search.md to include new supported providers and models, enhance web search options, and improve documentation for using web search with various AI models.
* Update LiteLLM version in web_search.md to reflect the latest stable release.
* Fix formatting in web_search.md for model declaration consistency.
* docs(web_search.md): add configuration options for web search in config.yaml
This update introduces sections for setting default and custom web search options in the proxy config file, including examples for different models and context sizes. A note clarifies that users can override these settings in API requests.
* Update web_search.md to include new supported providers and models, enhance web search options, and improve documentation for using web search with various AI models.
* Update LiteLLM version in web_search.md to reflect the latest stable release.
* Fix formatting in web_search.md for model declaration consistency.
* Add new model provider Novita AI (#7582)
* feat: add new model provider Novita AI
* feat: use deepseek r1 model for examples in Novita AI docs
* fix: fix tests
* fix: fix tests for novita
* fix: fix novita transformation
* ci: fix ci yaml
* fix: fix novita transformation and test (#10056)
---------
Co-authored-by: Jason <ggbbddjm@gmail.com>
* init vector store configs
* working kb init
* add vector store endpoints
* use litellm_credential_name
* working CRUD vector stores litellm
* working creds with vector DB
* ui cleanup
* clean up vector store id
* fix delete button
* refactored vector store component
* working selector for KBs
* ui vector stores
* add vector store tool calls usage on chat ui
* fixes for vector stores litellm
* test fix
* docs Knowledge Bases
* fixes for vector stores litellm
* fix linting
* add managed vectorstores
* fix orjson ci/cd test
* fix linting
* add types.tsx file
