AWS Bedrock has reached end-of-life for `claude-3-7-sonnet-20250219-v1:0`,
returning 404s with "This model version has reached the end of its life."
Update test references to `claude-sonnet-4-5-20250929-v1:0` (same capability
surface: thinking, tools, prompt caching, PDF input, vision, computer use).
The bedrock/invoke pass-through tests stay on Sonnet 3.5 since Sonnet 4.5
is converse-only on Bedrock.
Addresses 4 critical OpenTelemetry span issues in LiteLLM:
Issue #3: Remove redundant attributes from raw_gen_ai_request spans
- Removed self.set_attributes() call that was duplicating all parent span
attributes (gen_ai.*, metadata.*) onto the raw span
- Raw span now only contains provider-specific llm.{provider}.* attributes
- Reduces storage and eliminates search confusion from duplicate data
Issue #4: Prevent attribute duplication on litellm_proxy_request parent span
- When litellm_request child span exists, removed redundant
set_attributes() call on the parent proxy span
- Child span already carries all attributes; parent duplication doubles
storage and complicates search
Issue #5: Fix orphaned guardrail traces
- Guardrail spans were created with context=None when no parent proxy span
existed, resulting in orphaned root spans (separate trace_id)
- Added _resolve_guardrail_context() helper to ensure guardrails always
have a valid parent (litellm_request or proxy span)
- Applied fix to both _handle_success and _handle_failure paths
Issue #8: Add gen_ai.response.id for embeddings and image generation
- EmbeddingResponse and ImageResponse types don't have provider response IDs
- Added fallback to standard_logging_payload["id"] (litellm call ID) for
correlation across LiteLLM UI, Phoenix traces, and provider logs
- Completions still use provider ID (e.g. "chatcmpl-xxx") when available
Tests added:
- TestRawSpanAttributeIsolation: Verify raw span has no gen_ai/metadata attrs
- TestNoParentSpanDuplication: Verify parent span doesn't get duplicated attrs
- TestGuardrailSpanParenting: Verify guardrails are children (not orphaned)
- TestResponseIdFallback: Verify response ID set for all call types
All existing OTEL tests pass (73 passed, 14 pre-existing protocol failures).
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
When OpenTelemetry is configured via the UI, only OTEL_ENDPOINT and
OTEL_HEADERS are set, but OTEL_EXPORTER is not specified. This caused
the exporter to default to "console", meaning traces were printed to
stdout instead of being sent to the configured endpoint.
This fix adds logic in OpenTelemetryConfig.__post_init__ to automatically
infer "otlp_http" as the exporter when an endpoint is specified but the
exporter is still the default "console".
Fixes issue reported by Elastic team where traces weren't being sent
to their OTEL endpoint when configured through the LiteLLM UI.
* feat: change guardrail_information to list type to support displaying multiple guardrails
* fix: add missing commit and revert auto-format changes in utils.py
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* fix(opentelemetry.py): fix issue where headers were not being split correctly
* feat(bedrock/image): Support bedrock titan image generation
Closes https://github.com/BerriAI/litellm/issues/361
* build(model_prices_and_context_window.json): track titan image gen pricing
enables cost tracking per request
* feat(amazon_titan_transformation.py): support titan image generation cost tracking
* docs: document new model
* docs: update docs to indicate cost tracking + refactor rerank into separate doc
* fix: fix mypy linting error
* fix: fix type ignore
* 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
