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(proxy_server.py): update swagger-ui-bundle.js + bring back swagger in airgapped environments
* fix(proxy_server.py): support local swagger on custom root path
enables on prem usage of litellm
* feat: Add Pillar Security guardrail integration
Implements comprehensive LLM security guardrails using Pillar Security API with support for prompt injection detection, PII/secret detection, content moderation, and multi-mode execution (pre_call, during_call, post_call). Includes complete documentation, testing, and configurable actions on flagged content.
* fix: Resolve MyPy type error in Pillar guardrail config
Restructure PillarGuardrailConfigModel to properly inherit from GuardrailConfigModel[T]
and resolve return type compatibility issue in get_config_model method.
* fix: Resolve MyPy type error in Pillar guardrail config
Restructure PillarGuardrailConfigModel to properly inherit from GuardrailConfigModel[T]
and resolve return type compatibility issue in get_config_model method.
* fix docs
* fix docs
* improved docs
* fix examples, READY
* feat(litellm_pre_call_utils.py): add num_retries to litellm data for backend call
allow user to pass in num retries via request headers
* test(test_litellm_pre_call_utils.py): add unit test
* docs(request_headers.md): document new request header
* fix(common_daily_activity.py): show spend breakdown by model group
Partial fix for https://github.com/BerriAI/litellm/issues/12887
* feat(new_usage.tsx): new tab switcher for viewing usage by model group vs. received model
Closes https://github.com/BerriAI/litellm/issues/12887
* fix(main.py): fix async retryer
Fixes https://github.com/BerriAI/litellm/issues/12830
* fix(forward_clientside_headers_by_model_group.py): filter out 'content-type' from forwardable headers
clientside content-type != proxy content type, can cause requests to hang
* add gemini 2.0 live to model context and priceS
* added files to dump
* Update litellm/model_prices_and_context_window_backup.json
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Update model_prices_and_context_window.json
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* added vertex ai live preview
* added vertex ai change
* add input video and image cosT
* add input video and image cosT
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Change Dockerfile.noon_root with alpine base image
* Improve non_root docker image
* Re add the build_admin_ui.sh script step
* Re add the build_admin_ui.sh script step
* Remove unnecessary workdir set
* Remove unnecessary workdir set
* Configure chainguard image
* A bit of optimization and improve comments
* delete extra build_ui script run
* Optimizie Dockerfile copy statements
