* fix(realtime): guardrails with pre_call/post_call mode now work on realtime WebSocket; return error directly to consumer
* fix(realtime guardrails): address code review feedback
- Restore session.update injection for audio/VAD path, but only when
realtime_input_transcription guardrails are configured (not pre_call).
Forward session.created to the client first so no error arrives before
the client sees the session.
- Change _swallow_next_response_create bool to int counter so consecutive
blocked items are handled correctly.
- Extract _build_litellm_metadata() helper to eliminate duplicated
metadata-building logic across OpenAI/Azure/XAI provider branches.
- Plumb litellm_metadata and user_api_key_dict to Azure and XAI handlers
so guardrails work for those providers too.
- Add tests for session.update injection, no-inject for pre_call-only,
and consecutive-block counter.
* simplify: remove response.create swallowing after guardrail block
When an item is blocked, the error event is already sent to the client.
The subsequent response.create from the client is fine to forward through —
the LLM may respond to previous context which is acceptable behavior.
Removing the swallow counter eliminates unnecessary state tracking.
* feat: add pretty view for realtime API logs in dashboard
- Create RealtimePrettyView component that renders structured session
config, conversation turns with transcripts, and token breakdowns
- Update PrettyMessagesView to detect realtime responses (via
isRealtimeResponse helper) and delegate to the new component
- Session card shows model, voice, modalities, temperature, instructions
in a collapsible panel
- Conversation turns show status, per-turn token usage, and audio/text
transcripts with appropriate icons
- Add 24 tests for RealtimePrettyView and 3 tests for PrettyMessagesView
- All 75 LogDetailsDrawer tests pass
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* chore: remove dev_config.yaml from tracked files
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* feat: show turn count in realtime pretty view session header and output header
- Add purple 'N turns' tag to Session card header for at-a-glance turn count
- Add 'Turns: N' to the Output section header next to tokens/cost
- Extend SectionHeader to accept optional turnCount prop
- Add 3 new tests for turn count display (singular, plural, output header)
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: address Greptile review feedback
- Remove response.audio.done and conversation.item.created from
isRealtimeResponse() detection since the view doesn't render them;
prevents misleading fallback for responses with only those events
- Remove dead code: index >= 0 is always true in .map() callback
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
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Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
Replace the non-paginated Key Alias filter with a new PaginatedKeyAliasSelect component that mirrors the existing PaginatedModelSelect pattern. This aligns the UI with the paginated /key/aliases endpoint from PR #22137.
Changes:
- Added useInfiniteKeyAliases hook for paginated key alias fetching
- Created PaginatedKeyAliasSelect component with infinite scroll (80% threshold)
- Updated keyAliasesCall in networking to accept page/size/search params
- Replaced Key Alias filter in Request Logs and Virtual Keys tables to use customComponent
- Removed fetchAllKeyAliases helper and related upfront fetching logic
- Added 22 tests for new component and hook; all existing tests pass (54 tests)
Fixes the issue where the UI was fetching all key aliases at once, causing performance issues with large key sets.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
* feat(vertex_ai): add Vertex AI Gemini Live support via unified /realtime endpoint
Adds VertexAIRealtimeConfig which translates the OpenAI Realtime WebSocket
protocol to Vertex AI BidiGenerateContent. Supports voice in/voice out
(16 kHz mic → 24 kHz speaker) and text in/text out through the proxy's
/realtime endpoint.
Key changes:
- New litellm/llms/vertex_ai/realtime/transformation.py with VertexAIRealtimeConfig
- Builds correct wss:// URL (regional + global)
- OAuth2 Bearer token auth (not API key)
- Full model path (projects/.../publishers/google/models/...)
- Ignores session.update (Vertex AI only accepts one setup message)
- realtime_api/main.py: vertex_ai branch resolves OAuth token + constructs config
- llm_http_handler.py: auto-sends session setup before bidirectional_forward
- gemini/realtime/transformation.py: fix crashes on empty turnComplete events
- realtime_streaming.py: try/except guard so bad messages don't kill the loop
- proxy_server.py: add missing websockets.exceptions import
* docs: add vertex_realtime to sidebars
* fix: drop unknown event types in Gemini transform; add vertex_ai health check
* fix: propagate UUID fallback IDs from transform_content_done_event to return_additional_content_done_events
* fix: route guardrail backend sends through provider transform; fix str.strip misuse for model prefix
* fix: handle Vertex AI full resource path in session.created; route guardrail block sends through _send_to_backend
* fix: remove unused VertexBase in transformation.py; apply UUID fallback in return_additional_content_done_events
Adds a new block_code_execution guardrail that detects markdown fenced code blocks
in request/response content and blocks or masks them by language. Includes full
UI integration, type definitions, compliance test dataset, and 26 unit tests.
Key guardrail capabilities:
- Regex-based fenced code block detection with configurable blocked languages
- Confidence scoring with tunable threshold
- Execution-intent heuristics (request-side only) with conflict resolution
- Block or mask actions for detected code
- Support for pre_call, post_call, and during_call event hooks
Security hardening:
- Response-side blocking skips intent heuristics (LLM output doesn't contain
user intent phrases, so checking would silently disable post_call blocking)
- No-execution short-circuit includes conflict resolution: if both no-execution
and execution phrases match, execution intent wins
- Tightened overly broad phrases to prevent trivial bypass
- _normalize_escaped_newlines only applies to pure-escaped payloads to avoid
corrupting content that discusses escape sequences
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Replace Prisma ORM count/find_many calls with two query_raw calls that
only project the key_alias column. The Prisma client wrapper does not
support SELECT projection via find_many, so raw SQL is used to keep
memory usage proportional to the page size rather than total key count.
Update tests to mock query_raw instead of count/find_many.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
LiteLLM_VerificationTokenActions.find_many() does not support the
select keyword argument. Remove it and drop the corresponding test.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
* feat(realtime): add guardrails query param to /v1/realtime WebSocket endpoint
- Add 'guardrails' query param (comma-separated) to realtime_websocket_endpoint
- Import websockets and websockets.exceptions at module level (fixes NameError in except clause)
- Split try/except into Phase 1 (pre-call) and Phase 2 (routing) so guardrail
errors send back a typed error event before closing, while upstream errors
close silently with 1011
* feat(ui): pass selectedGuardrails from sidebar to RealtimePlayground WebSocket URL
* docs(realtime): add guardrails section with dynamic passing examples
Add select={"key_alias": True} to the find_many call so only the alias
column is fetched from the database instead of full token rows. Add
five unit tests in test_key_management_endpoints.py covering response
shape, pagination skip/take computation, search filter injection,
absence of contains filter when no search term is given, and the
select-only-alias optimization.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
When calling non-text-embedding-3 models routed through the openai provider
(e.g. nvidia/llama-3.2-nv-embedqa-1b-v2), passing `dimensions` previously
raised an UnsupportedParamsError unconditionally. This fix threads
`allowed_openai_params` through the embedding call stack so that providers
can opt-in to passing `dimensions` by including it in the list.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Add claims agent guardrails with 243-case eval dataset
5 new category guardrails for healthcare claims agent chatbots:
- claims_fraud_coaching: fraud coaching, exaggeration, document forgery
- claims_phi_disclosure: unauthorized PHI access, bulk data extraction
- claims_prior_auth_gaming: code manipulation, medical necessity misrepresentation
- claims_system_override: system injection, rule bypass, role impersonation
- claims_medical_advice: medical advice (claims-context-aware)
Plus claims_agent_safety.yaml policy template combining all 5.
All 5 eval suites pass at 100% precision/recall/F1 (243 test cases).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Add claims agent chatbot safety policy template
Combines the 5 claims guardrails into a single deployable policy template:
fraud coaching, PHI disclosure, prior-auth gaming, system override, and medical advice.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Add guardrail benchmark results and UI compliance prompts
Adds benchmark results for claims, discrimination, and content filter guardrails.
Updates UI compliance prompt data.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Remove duplicate "file an appeal" exception in claims_prior_auth_gaming.yaml
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Remove unused claims_agent_safety.yaml policy template
The claims-agent-safety template in policy_templates.json references
individual category files in categories/, not this combined file.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
The /key/aliases endpoint previously fetched all key aliases from the database without limit, causing OOM crashes with large key sets. Added page, size, and search query parameters with database-level filtering to enable paginated and searchable key alias retrieval. Updated the response to include pagination metadata (total_count, current_page, total_pages, size) matching the /v2/model/info pattern.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
