The backup JSON was missing Crusoe model entries, causing
test_crusoe_model_list_populated to fail with AssertionError.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Remove trailing slash from docs Base URL to match providers.json
- Wrap model_cost mutations in try/finally to prevent test state leakage
- Add missing __init__.py to crusoe test package
Replace hand-written CrusoeChatConfig class and manual registrations
across constants.py, __init__.py, get_llm_provider_logic.py, and
_lazy_imports_registry.py with a single entry in
litellm/llms/openai_like/providers.json, consistent with the
recommended pattern for OpenAI-compatible providers.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Added a new section to the config.yaml documentation explaining how to
set the LITELLM_LICENSE environment variable for enterprise features.
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Tests were outdated after _get_and_validate_existing_key was refactored
to use prisma_client.db.litellm_verificationtoken.find_unique() and
ProxyException. Also add ProxyException handling in bulk_update_keys
error extractor so error messages aren't empty.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Tests were outdated after _get_and_validate_existing_key was refactored
to use prisma_client.db.litellm_verificationtoken.find_unique() instead
of prisma_client.get_data(), and to raise ProxyException instead of
HTTPException. Also fix bulk_update_keys error handler to extract
ProxyException.message (str(ProxyException) returns empty string).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add None guard for prisma_client before calling update_data, and add
"unblocked" to AUDIT_ACTIONS literal type.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* add DD Tracing (#24033)
* feat(models): add Azure GPT-5.4 mini and nano variants (#24045)
Add `azure/gpt-5.4-mini` and `azure/gpt-5.4-nano` to the model
database with official pricing from Azure OpenAI:
- GPT-5.4 mini: $0.75/M input, $0.075/M cached, $4.5/M output
- GPT-5.4 nano: $0.20/M input, $0.02/M cached, $1.25/M output
Both models support:
- 1.05M input / 128K output context window
- Chat, batch, and responses endpoints
- Function calling, tools, vision, reasoning
- Prompt caching with automatic tiered pricing
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* Add new model pricing details for volcengine Doubao-Seed-2.0 series (#23871)
Add entries for volcengine Doubao-Seed-2.0 series
* fix(mcp): support refresh_token grant type in OAuth token endpoint (#23701)
* fix(mcp): support refresh_token grant type in OAuth token endpoint (#23700)
The .well-known/oauth-authorization-server metadata advertises
refresh_token as a supported grant type, but the token endpoint
rejected it with HTTP 400. This adds refresh_token grant support
so MCP clients can refresh expired tokens without re-authenticating.
* test(mcp): add tests for refresh_token grant type in OAuth token endpoint
* fix(mcp): move code_verifier guard into authorization_code branch
code_verifier is only relevant for authorization_code grants (PKCE).
Move it inside the else branch so it doesn't apply to refresh_token.
* fix(mcp): guard None client_secret and forward scope in token exchange
- Conditionally include client_secret in form data to prevent httpx
from sending the literal string "None" (applies to both
authorization_code and refresh_token branches)
- Forward optional scope parameter per RFC 6749 §6, allowing clients
to request a subset of originally-granted scopes on refresh
* fix(mcp): validate code param in authorization_code grant
Guard against None code being form-encoded as literal string "None"
by httpx, symmetric with the existing refresh_token guard.
* docs: add incident report for guardrail logging secret exposure (#24059)
Add blog post documenting the guardrail logging path exposing internal
request data (e.g. Authorization headers) in spend logs and OTEL traces.
Fix available in LiteLLM 1.82.3+.
Made-with: Cursor
* [Fix] Datadog LLM Observability tags format (env, service, version missing) (#23673)
* tag fix
* greptile comment
* fix(ci): stabilize 6 failing CI jobs
1. mypy: remove duplicate type annotation for token_data in discoverable_endpoints.py
2. integrations tests: add parameterized to CI test deps
3. doc quality: document OTEL_IGNORE_CONTEXT_PROPAGATION env key
4. security: allowlist CVE-2026-2673, CVE-2026-3644, CVE-2026-4224 (no fix available)
5. proxy_store_model_in_db: fix missing x-litellm-call-id header on error responses
6. google tests: add --retries 3 for transient Vertex AI rate limits
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(streaming): handle RuntimeError during model_copy in streaming handler
The race condition occurs when model_copy(deep=True) tries to deepcopy
_hidden_params dict while it's being concurrently modified by logging
callbacks. Fall back to shallow copy if the deep copy fails.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(cost): handle non-string traffic_type in cost calculator + add retries
1. Fix AttributeError in _map_traffic_type_to_service_tier when traffic_type
is an integer (cast to str before calling .upper()). This was causing
pass-through vertex spend logging to fail silently.
2. Add --retries to llm_translation_testing for flaky external API calls.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
---------
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: ExMatics HydrogenC <33123710+HydrogenC@users.noreply.github.com>
Co-authored-by: Jack Venberg <jack.venberg@rover.com>
Co-authored-by: milan-berri <milan@berri.ai>
Co-authored-by: Shivam Rawat <161387515+shivamrawat1@users.noreply.github.com>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
Aligns proxy default with litellm.AZURE_DEFAULT_API_VERSION (2025-02-01-preview)
so Azure response_format + json_schema works without tools fallback.
Made-with: Cursor
- Add 'Contributing to Guardrails' category with links to:
- Generic Guardrail API (integrate without PR)
- Adding a New Guardrail Integration tutorial
- Adding Guardrail Support to Endpoints
- Add 'Team Bring-Your-Own Guardrails' link for team BYOG workflow
These docs existed but were only accessible from the 'LiteLLM AI Gateway'
sidebar. Now they're also accessible when browsing the 'Guardrail Providers'
section.
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Add ExportOutlined icon next to nav items that link to external pages,
making it clear to users when a link opens in a new tab.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
ChatUI stores endpointType as string but the narrowed prop expects
EndpointType — add explicit cast at the call site.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Deduplicate: update_key_fn now delegates to _get_and_validate_existing_key()
instead of inlining its own copy of the lookup logic
- Use _hash_token_if_needed (already imported at module level) instead of
inline `from proxy_server import hash_token` + manual conditional
- Fix stale docstring: _get_and_validate_existing_key raises ProxyException,
not HTTPException
- Add unit test: test_update_key_nonexistent_key_returns_404
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Matches the cast used in ChatUI.tsx — the react-syntax-highlighter
type definitions don't accept CSSProperties directly.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The /key/update endpoint's get_data() call raises a 401 when the body
`key` field doesn't exist in the DB, because get_data() treats the
token as an auth credential. This caused the auth layer to resolve the
body key instead of the Authorization header bearer token.
Replace prisma_client.get_data() with direct Prisma find_unique() in
both _get_and_validate_existing_key() and update_key_fn(), matching
the pattern used in the /key/block and /key/unblock fix (PR #23977).
Also fix the incorrect "Team not found" error message in update_key_fn.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Narrow endpointType prop from string to EndpointType enum
- Add missing test for MCP events on CHAT endpoint
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Extract the chat message bubble rendering (~165 lines) into a dedicated
ChatMessageBubble component with 15 Vitest tests covering all display branches.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Accept theirs for UI test file conflicts (not related to our changes).
Our key_management_endpoints.py merged cleanly.
Co-authored-by: yuneng-jiang <yuneng-jiang@users.noreply.github.com>
Incorporate new _check_key_admin_access() calls from the base branch
into block_key/unblock_key alongside our existence-check fix.
Update test mocks: replace references to removed get_key_object and
_cache_key_object with _delete_cache_key_object in both the shared
_setup_block_unblock_mocks helper and individual test functions.
Co-authored-by: yuneng-jiang <yuneng-jiang@users.noreply.github.com>
