* fix(create_key_button.tsx): add prompts on UI
* feat(key_management_endpoints.py): support adding prompt to key via `/key/update`
* fix(key_info_view.tsx): show existing prompts on key in key_info_view.tsx
* fix(key_edit_view.tsx): UX - disable premium feature for non-premium users
prevent accidental clicking
* fix(create_key_button.tsx): disable premium features behind flag, prevent errors
* feat(prompts.tsx): add new ui component to view created prompts
enables viewing prompts created on config
* feat(prompt_info.tsx): add component for viewing the prompt information
* feat(prompt_endpoints.py): support converting dotprompt to json structure + accept json structure in promptmanager
allows prompt manager to work with api endpoints
* test(test_prompt_manager.py): add unit tests for json data input
* feat(dotprompt/__init__.py): add prompt data to dotpromptmanager
* fix(prompt_endpoints.py): working crud endpoints for prompt management
* feat(prompts/): support `prompt_file` for dotprompt
allows to precisely point to the prompt file a prompt should use
* feat(proxy/utils.py): resolve prompt id correctly
resolves user sent prompt id with internal prompt id
* feat(schema.prisma): initial pr with db schema for prompt management table
allows post endpoints to work with backend
* feat(prompt_endpoints.py): use db in patch_prompt endpoint
* feat(prompt_endpoints.py): use db for update_prompt endpoint
* feat(prompt_endpoints.py): use db on prompt delete endpoint
* build(schema.prisma): add prompt tale to schema.prisma in litellm-proxy-extras
* build(migration.sql): add new sql migration file
* fix(init_prompts.py): fix init
* feat(prompt_info_view.tsx): show the raw prompt template on ui
allows developer to know the prompt template they'll be calling
* feat(add_prompt_form.tsx): working ui add prompt flow
allows user to add prompts to litellm via ui
* build(ui/): styling fixes
* build(ui/): prompts.tsx
styling improvements
* fix(add_prompt_form.tsx): styling improvements
* build(prompts.tsx): styling improvements
* build(ui/): styling improvements
* build(ui/): fix ui error
* fix: fix ruff check
* docs: document new api params
* test: update tests
The test was failing because it was trying to patch MAX_LANGFUSE_INITIALIZED_CLIENTS
at the wrong path. The constant is imported from litellm.constants into the langfuse
module namespace, so we need to use patch.object on the imported module reference.
Changes:
- Import langfuse module explicitly for patching
- Use patch.object instead of patch string path
- This fixes the AttributeError that was causing CI failures
* feat(langfuse-otel): Add comprehensive metadata support to Langfuse OpenTelemetry integration
This commit brings the langfuse_otel integration to feature parity with the vanilla Langfuse integration by adding support for all metadata fields.
Changes:
- Extended LangfuseSpanAttributes enum with all supported metadata fields:
- Generation-level: generation_name, generation_id, parent_observation_id, version, mask_input/output
- Trace-level: trace_user_id, session_id, tags, trace_name, trace_id, trace_metadata, trace_version, trace_release, existing_trace_id, update_trace_keys
- Debug: debug_langfuse
- Implemented metadata extraction and mapping in langfuse_otel.py:
- Added _extract_langfuse_metadata() helper to extract metadata from kwargs
- Support for header-based metadata (langfuse_* headers) via proxy
- Enhanced _set_langfuse_specific_attributes() to map all metadata to OTEL attributes
- JSON serialization for complex types (lists, dicts) for OTEL compatibility
- Updated documentation:
- Added 'Metadata Support' section explaining all fields are now supported
- Provided usage example showing how to pass metadata
- Clarified that traces are viewed in Langfuse UI (not generic OTEL backends)
- Added opentelemetry-exporter-otlp to required dependencies
This allows users to pass metadata like:
metadata={
'generation_name': 'my-generation',
'trace_id': 'trace-123',
'session_id': 'session-456',
'tags': ['prod', 'v1'],
'trace_metadata': {'user_type': 'premium'}
}
All metadata is exported as OpenTelemetry span attributes with 'langfuse.*' prefix for easy filtering and analysis in the Langfuse UI.
* Fix ruff linting error
* test(langfuse-otel): Fix failing test and add comprehensive metadata tests
- Fix test_set_langfuse_environment_attribute to use positional arguments
instead of keyword arguments when asserting safe_set_attribute calls
- Add test_extract_langfuse_metadata_basic to verify metadata extraction
from litellm_params
- Add test_extract_langfuse_metadata_with_header_enrichment to test
integration with header-based metadata using a stubbed LangFuseLogger
- Add test_set_langfuse_specific_attributes_full_mapping to comprehensively
test all metadata field mappings and JSON serialization of complex types
These tests ensure full coverage of the langfuse_otel metadata features
added in commit ab1dbe355 and fix the CI test failure.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Claude <noreply@anthropic.com>
* fix(custom_guardrail.py): initial logic for model level guardrails
* feat(custom_guardrail.py): working pre call guardrails
* fix(custom_guardrails.py): check if custom guardrails set before running event hook
* test(test_custom_guardrail.py): add unit tests for async pre call deployment hook on custom guardrail
* feat(custom_guardrail.py): add post call processing support for guardrails
allows model based guardrails to run on the post call event for that model only
* fix(utils.py): only run if call type is in enum
* test: update unit tests to work
* 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 - tuple was never falsy so never triggered the exception
* test - add test suite for openmeter integration
* refactor - move tests for openmeter integration
* fix(factory.py): handle qs:.. in mime type
Fixes https://github.com/BerriAI/litellm/issues/11839
* feat(litellm_proxy/): don't transform messages client-side
leave litellm proxy messages untouched - allow proxy to handle transformation
prevents double transformation
* feat(tag_management_endpoints.py): support adding models to tag by adding model_name
Closes https://github.com/BerriAI/litellm/issues/11884
* test(test_tag_management_endpoints.py): add unit tests for adding new model by public model name
* test: update test
* fix(prometheus.py): remove request increment from inside the log success event
it's only done on post-call success/failure
* fix(litellm_logging.py): add additional validation step for checking if 'stream' is true
prevent double counting on non-stream requests
* test: add unit testing to ensure stream is not incorrectly set to true
* feat(litellm_logging.py): emit request route in standard logging payload
used by prometheus streaming metrics for route
* fix: fix otel test
* fix: fix linting errors
* test: update test
* fix: fix linting error
Tomu Hirata