* added mcp tools on internal user and divide it by teams
* add support for server api call
* Added frontend for test key
* added tools used output
* fix ui for servers
* All servers to personal
* change columns format
* revert ui logic
* Added vertical align
* fix mapped tests
* fix lint
* fix lint
* remove extra file
* fix ui test
* comments fixes
* change query type
* change query type
* mcp acces group init
* add ability to change server display on ui through access groups
* Mcp access group names UI (#12486)
* Added ui changes to reflect mcp_access_groups
* fix edit mcp page
* change to string array (#12491)
* change to string array
* Remove print
* add ability to change server display on ui through access groups
* Litellm mcp access groups accesses (#12498)
* added mcp access groups for keys and teams
* added access groups above servers
* fixed ruff
* fixed mypy
* revert couple changes
* fix test
* fixed double asterisks
* feat(custom_guardrail.py): allow admin to run guardrails on specific modes based on request tags
Enables pre-call checks for openwebui but logging for claude code guardrails
* refactor(custom_guardrail.py): move tag based mode to enterprise
* test(test_custom_guardrail.py): update test
* feat(quick_start.md): add doc on tag-based guardrail mode
* docs(quick_start.md): cleanup doc
* docs: cleanup
* docs(openweb_ui.md): add tutorial to doc
* fix(custom_guardrail.py): ensure user is premium user
* test: update test
* added mcp tools on internal user and divide it by teams
* add support for server api call
* Added frontend for test key
* added tools used output
* fix ui for servers
* All servers to personal
* change columns format
* revert ui logic
* Added vertical align
* fix mapped tests
* fix lint
* fix lint
* remove extra file
* fix ui test
* comments fixes
* change query type
* change query type
* mcp acces group init
* add ability to change server display on ui through access groups
* Mcp access group names UI (#12486)
* Added ui changes to reflect mcp_access_groups
* fix edit mcp page
* change to string array (#12491)
* change to string array
* Remove print
* add ability to change server display on ui through access groups
* Litellm mcp access groups accesses (#12498)
* added mcp access groups for keys and teams
* added access groups above servers
* fixed ruff
* fixed mypy
* revert couple changes
* fix(guardrails_ai.py): initial commit adding pre-call hook support for guardrails ai
enables running user input through guardrails ai - if set
* feat(guardrails_ai.py): working pre call guardrail
enables pii detection to work via guardrails ai
* feat(guardrails_ai.py): support logging hook
enables masking input via guardrails ai on logging integrations
* test(test_guardrails_ai.py): add unit test for new input processing function
* Add unit tests
* Fix tool call handling in Anthropic pass-through adapter
- Move tool message placement before user messages to maintain proper order
- Add safety check for empty function arguments in tool calls
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Claude <noreply@anthropic.com>
- Add premium/standard badge with crown icon next to user ID
- Remove colons and improve visual hierarchy with icons
- Add tooltips for user status (Premium User / Upgrade message)
- Enhance spacing and typography for better readability
- Update dropdown styling with proper hover states
* Added dashscope as a provider
* Fix some leftover references on nebius
* Porting the dashscope api endpoit international version
* explicit tool_choice = True in config
* fix: handle reasoning parameters and response in responses bridge
Updates the OpenAI completions/responses bridge to map
reasoning_effort to reasoning parameters, and the chunk parser
to return reasoning_content.
ref: 12432
* fix: using type checked objects in responses bridge transform
ref: 12432
* add endpoints to test MCP connection
* fix route names
* add testMCPToolsListRequest
* fix MCP connection test
* add tool_name_to_cost_per_query
* fixes tool_name_to_cost_per_query
* fix networking
* fix test MCP connection
* use POST for test tools endpoints
* ui fixes
* fix config
* fixes for cost config
* fixes
* decent connection status
* fix Created At
* fix MCP table
* Potential fix for code scanning alert no. 2928: Information exposure through an exception
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* MCPServerCostConfig
---------
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* add support of bearer token for bedrock integration
* fix linting issue
* fix type checking issue
* reoder arguments to address type checking issue
* switch to use get_secret_str to fetch env variable
Co-authored-by: 0x-fang <fanggong@amazon.com>
- Add azure/o3-deep-research model to pricing configuration
- Input cost: 0 per million tokens (1e-05 per token)
- Output cost: 0 per million tokens (4e-05 per token)
- Supports reasoning, web search, function calling, vision, and other advanced features
- Based on Azure AI Foundry Deep Research pricing documentation
Resolves#12318
Co-authored-by: openhands <openhands@all-hands.dev>
* fix(auth_checks.py): resolve a model group alias when key has access to underlying model
Fixes LIT-293
* feat(anthropic/): add mock_response to anthropic /v1/messages
makes it easy to test fallback logic
* fix(router.py): support fallbacks on /v1/messages
adds working fallbacks on generic api route
* refactor(router.py): point _ageneric_api_call_with_fallbacks to updated function
* test: add unit test for new helper on router
* fix(router.py): use correct metadata variable name
* fix(router.py): use correct metadata field
* docs(config_settings.md): document new param
* fix(opentelemetry.py): initial commit adding support for OTEL_RESOURCE_ATTRIBUTES
* test: update unit tests
* feat(ui/): initial commit with revamped model hub
* fix(model_hub_table.tsx): generic 'supports_' rendering as capabilities
* feat(model_hub_table.tsx): indicate if a model is publicly available
* refactor(model_hub_table.tsx): refactor to use common model data table component
* fix(model_hub_table.tsx): fix box sizes
* fix(model_hub_table.tsx): enable selecting / deselecting models in columns
* feat(public_endpoints.py): initial commit adding `/public/model_hub` endpoint
enables sharing public models
* feat(public_endpoints/): instrumentation for public model hub route
* feat(proxy_server.py): support request access form for model groups
allows user to request access to a model
* refactor: use a dictionary of text + link instead of 1 hardcoded request access form
* fix(proxy_server.py): prevent duplicates in model_group info
* fix: fix linting error
* fix(__init__.py): fix linting error
* fix(db_spend_update_writer.py): fix db query
* fix(litellm_pre_call_utils.py): support passing anthropic-beta headers when 'forward_client_headers_to_llm_api' is True
allows user to pass along extra headers to vertex ai anthropic models
* docs(config_settings.md): update docs
* added mcp tools on internal user and divide it by teams
* add support for server api call
* Added frontend for test key
* added tools used output
* fix ui for servers
* All servers to personal
* change columns format
* revert ui logic
* Added vertical align
* fix mapped tests
* fix lint
* fix lint
* remove extra file
* fix ui test
* comments fixes
* change query type
* change query type
* change query type
* Update model_checks.py
* add _get_mcp_auth_header_from_headers
* test_process_mcp_request_with_custom_auth_header
* Using a different Authentication Header
* fix customize MCP Auth header name
* fix security - mcp
* fix(router.py): validate model provider before adding deployment to pattern
prevents routing on pattern match to invalid deployment
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* Fix: Properly close aiohttp client sessions to prevent resource leaks (#12107)
- Add close() method to BaseLLMAIOHTTPHandler to properly close aiohttp ClientSession
- Create async_client_cleanup module with utility functions to close all cached async clients
- Register automatic cleanup at exit via atexit hook
- Export close_litellm_async_clients() function for manual cleanup
- Add comprehensive tests to verify resource cleanup
This fixes the "Unclosed client session" and "Unclosed connector" warnings when using acompletion with Gemini and other models that use aiohttp.
Fixes#12107
* Fix: Remove unused import to satisfy linter
* Fix: Extend cleanup to handle AsyncHTTPHandler instances used by Gemini
The original implementation only cleaned up BaseLLMAIOHTTPHandler instances,
but Gemini/Vertex AI providers use AsyncHTTPHandler objects which contain
httpx clients with aiohttp transports.
This commit extends the cleanup function to:
- Handle AsyncHTTPHandler instances by accessing their internal client
- Close both the aiohttp transport and httpx client
- Add generic fallback for any objects with aclose method
This properly fixes the resource leak warnings for all provider types.
* fix(common_daily_activity.py): initial commit with working mock BE endpoint for mcp usage
* feat(ui/): show mcp server activity on UI
allows admin to know which mcp's are being used
* feat(common_daily_activity.py): return activity by key
* feat(ui/): show top api keys for a given model / mcp server
allow user to know which key is driving spend
* fix(common_daily_activity.py): use known mcp server names
* feat(server.py): log the namespaced tool name (includes server prefix)
allow accurate cost tracking
* feat(db_spend_update_writer.py): log by mcp_namespaced_tool_name
store aggregate daily activity by mcp_namespaced_tool_name
Enables cost / usage tracking by mcp tool name
* fix(server.py): add key/user metadata to mcp calls
* refactor(common_daily_activity.py): update to return mcp activity in API
* fix(common_daily_activity.py): handle empty key
* fix(common_daily_activity.py): track when api key is empty
* test(test_spend_management_endpoints.py): update tests
* fix: fix ui linting error
* fix: fix linting errors
* test: add missing key
* build(schema.prisma): add mcp tool tracking
* fix(migration.sql): add schema migration file
* feat(server.py): add request logging for mcp calls
enables storing the mcp calls
* fix(new_usage.tsx): fix linting errors
* fix: fix code qa errors
* fix(activity_metrics.tsx): fix ui linting errors post-merge
* fix(types/utils.py): fix linting error
* fix(server.py): always have name
Jugal D. Bhatt