* 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
* Litellm mcp groups UI (#12522)
* add ui for teams
* fix object permissions
* fix mcp servers test object permission
* remove print
* add helper method
* add tests + remove logs
* add mcp access group servers to test key
* add mcp access group support for headers
* lint fix
* add tests and helper function
* fixed test
* change list -> List
* tests
* fix(proxy_setting_endpoints.py): require store model in db is enabled for setting user default settings
* test(test_proxy_server.py): update test
* fix(reset_budget_job.py): initial commit adding reset budget logic for team members
* test: update unit testing
* test(test_proxy_budget_reset.py): validate team member budget was reset
* test(test_reset_budget_job.py): update unit tests
* test: update tests
* fix(internal_user_endpoints.py): initial commit removing logic to create new budget for new user if default max budget in team set
* feat(proxy_setting_endpoints.py): update team member budget when set via default internal user endpoint
removes need to create a unique budget per user
* feat(proxy_server.py): set team max member budget on startup, if set on config.yaml
* fix(prometheus.py): support custom tags for tracking on prometheus
Allows tracking user agent values on prometheus metrics
* test(test_internal_user_endpoints.py): fix test
* update types
* add STDIO to client
* allow using STDIO with MCP manager
* add Stdio-specific fields to schema.prisma
* fixes for MCP mgmt
* fix for adding stdio MCP to DB
* ui - allow adding stdio MCPs
* fix MCP server manager
* docs stdio MCP
* add_stdio_mcp.png
* new stdio tests
* allow adding MCPs through config.yaml
* fix tool test panel
* use TestMCPClient
* ui fixes for testing circle ci mcp
* 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
* Litellm mcp groups UI (#12522)
* add ui for teams
* fix object permissions
* fix mcp servers test object permission
* remove print
* add helper method
* add tests + remove logs
* 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
* 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>
* 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 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>
* 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
* Add _transform_input_image_item_to_image_item() to handle image transformations
* Update content transformation to process input_image items from Responses API format to Chat Completions format
* refactor(aim.py): refactor to support adding aim guardrails on UI
* fix(base.py): add ui_friendly_name to config model
* feat(ui/): support loading new guardrails from backend api call
removes need to onboard each guardrail to ui
* fix: don't show optional params if not set and don't show ui_friendly_name (internal param0
* fix(ui/add_guardrail_form.tsx): ensure dynamic provider value is used
* fix(ui/): just one-time update the provider map dictionary
* fix(ui/): show masked api base / api key on guardrail update
* refactor(aporia_ai/): refactor to show on UI
* feat(aporia_ai/): add aporia ai guardrail to UI
* refactor(guardrails_ai/): refactor to add via UI
* refactor(lasso.py): refactor to enable adding lasso guardrails via UI
* feat(pangea.py): add pangea guardrail on UI
* feat(panw): add panw prisma airs through UI
* test: update tests
* fix: fix ruff linting error
* test: update tests
* fix: add missing docs
* fix: fix guardrail init
* fix: suppress linting errors
* fix(proxy_server.py): fix linting error
