Commit graph

31978 commits

Author SHA1 Message Date
yuneng-jiang
e002d6afe8 addressing comments 2026-02-10 15:16:18 -08:00
yuneng-jiang
fc0563fab3 get pass through include config defined pass through 2026-02-10 14:55:37 -08:00
yuneng-jiang
9f8878ee17
Merge pull request #20893 from BerriAI/pypi_fix_feb10
[Infra] CI/CD - Fix PyPI CI Step
2026-02-10 14:01:05 -08:00
yuneng-jiang
7d2c874434 Fixing ci pypi build 2026-02-10 13:59:48 -08:00
yuneng-jiang
ea38630e7c bump: version 0.4.33 → 0.4.34 2026-02-10 13:58:57 -08:00
yuneng-jiang
b7107ab803
Merge pull request #20892 from BerriAI/litellm_ui_spend_logs_model
[Feature] UI - Spend Logs: Paginated Searchable Model Select
2026-02-10 13:51:53 -08:00
yuneng-jiang
3fe1c1ba24 fixing build 2026-02-10 12:53:51 -08:00
yuneng-jiang
7fd8c0e160 Searchable Paginated Model Select For Spend Logs 2026-02-10 12:44:38 -08:00
michelligabriele
3bbc25a3f0
fix(aiohttp): respect ssl_verify with shared sessions (#20349)
* fix(aiohttp): respect ssl_verify with shared sessions

* fix(aiohttp): resolve mypy error for ssl parameter type

Pass ssl kwarg conditionally to aiohttp request() only when explicitly
configured, since None is not a valid value for the ssl parameter
(expected SSLContext | bool | Fingerprint).
2026-02-10 10:17:35 -08:00
michelligabriele
1afe3032fd
fix(otel): auto-infer otlp_http exporter when endpoint is configured (#20438)
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.
2026-02-10 09:33:16 -08:00
Sameer Kankute
0f01802dde
Merge pull request #20845 from BerriAI/litellm_gemini_image_handling
Handle image in assitant message for gemini
2026-02-10 18:24:09 +05:30
Sameer Kankute
3de892b8ca
Merge pull request #20860 from BerriAI/litellm_perplexity_research_api_support
[Feat] Perplexity research api support
2026-02-10 18:22:30 +05:30
Sameer Kankute
cdab87dec0
Merge pull request #20838 from BerriAI/litellm_managed_error_file
Add support managed error file
2026-02-10 18:20:26 +05:30
Sameer Kankute
f6228fda3e Fix mypy issues 2026-02-10 18:18:41 +05:30
Sameer Kankute
0b4c511576
Merge pull request #20863 from BerriAI/litellm_moonshotai.kimi-k2.5
Add moonshotai.kimi-k2.5
2026-02-10 18:12:36 +05:30
Sameer Kankute
7166ca8c59 Add moonshotai.kimi-k2.5 2026-02-10 18:10:37 +05:30
Sameer Kankute
63eedc26b0 Fix test_async_post_call_success_hook_for_unified_finetuning_job 2026-02-10 18:08:23 +05:30
Sameer Kankute
fda64caa28
Merge pull request #20855 from BerriAI/litellm_bedrock_kimi2
Add Kimi model pricing by region
2026-02-10 18:05:25 +05:30
Sameer Kankute
5222fd4795
Merge pull request #20783 from BerriAI/litellm_oss_staging_02_09_2026
litellm oss staging 09/02/2026
2026-02-10 18:02:14 +05:30
Sameer Kankute
45133fab53
Merge pull request #20854 from BerriAI/litellm_oss_staging_02_05_2026_3
Litellm oss staging 02 05 2026 3
2026-02-10 17:59:56 +05:30
Sameer Kankute
7d5141c28c Fix mypy issues 2026-02-10 17:58:15 +05:30
Sameer Kankute
19628f6187 Fix mypy issues 2026-02-10 17:52:17 +05:30
Sameer Kankute
f4ae6ed181 Fix mypy issues 2026-02-10 17:48:41 +05:30
Sameer Kankute
2eb52db3e9 Add documentation for perplexity 2026-02-10 17:44:00 +05:30
Sameer Kankute
9c1bf84729 Fix mypy issues 2026-02-10 17:41:03 +05:30
Sameer Kankute
ac65524d9f Use openai base config 2026-02-10 17:37:08 +05:30
Sameer Kankute
be0ebb153e Add perplexity response api routing 2026-02-10 17:01:08 +05:30
Sameer Kankute
849d6b7cdb Add perplexity response api class 2026-02-10 17:00:49 +05:30
Sameer Kankute
8663ec8610 Add Kimi model pricing by region 2026-02-10 16:43:32 +05:30
Seongho Bae
d56a0a97f8 fix(ui): allow editing MCP stdio transport config (#20241)
* fix(ui): enable stdio transport edits for MCP servers

* fix(ui): use antd Input in MCP edit stdio

Align MCP Server Edit with UI guidelines by replacing deprecated Tremor TextInput, and relax stdio args validation to match create flow while improving test stability.

* fix(otel): make semantic log LogRecord import mypy-safe

Prefer the OTEL >=1.39.0 LogRecord import path and keep an ignored fallback for older versions so MyPy doesn't fail on newer SDK stubs.

* fix(otel): tolerate LogRecord ctor changes across SDK versions

Create semantic LogRecords via a best-effort wrapper that falls back when the `resource` kwarg is unsupported (OTEL >= 1.39), and avoid MyPy overload/no-redef failures.

* fix(otel): silence mypy no-redef on versioned LogRecord import

MyPy sees both branches of the version-compat import and flags a redefinition. Ignore no-redef on the legacy import path to keep CI passing.

* fix(ui): ensure mcp_info.server_name is always populated

When using stdio transport there may be no URL to fall back on; prefer existing server_name/url/alias to avoid sending an empty mcp_info.server_name on update.

* chore(otel): format opentelemetry; ignore ui export output

* fix: guard optional a2a resolver + make OTEL semantic logs mypy-safe

* chore: format A2A resolver and OTEL semantic logs

* fix: address review feedback for MCP stdio edit

* fix: keep MCP stdio edit PR scoped

* fix(otel): make semantic logs mypy-safe
2026-02-10 16:16:59 +05:30
milan-berri
aa3325c1d5 fix: map global location to us-central1 for vertex's claude models count_tokens endpoint (#20348)
* fix: map global location to us-east5 for Claude count_tokens endpoint

- Vertex AI doesn't support count_tokens endpoint for Claude models with global location
- Map global -> us-east5 for count_tokens only, keeping global for inference
- Fixes 404 error when calling count_tokens with vertex_location: global
- Reference: https://docs.cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude/count-tokens

* Update handler.py
2026-02-10 16:13:45 +05:30
Harshit Jain
dfbc0e2156 fix:Parse embedded JSON in the message field of logs (#20366)
* fix:Parse embedded JSON in the message field of logs

* Update litellm/_logging.py

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>

---------

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
2026-02-10 16:13:33 +05:30
Neha Prasad
def910b086 fix: Sanitize empty text content blocks for databricks provider (#20384)
* fix(databricks): sanitize empty text content blocks for Anthropic Messages API

* test(databricks): add tests for empty content block sanitization
2026-02-10 16:12:57 +05:30
Shivam Rawat
90cd6538d4 added functionality to propagate bedrock guardrail errors down to litellm (#20395) 2026-02-10 16:12:13 +05:30
Seongho Bae
eb39582547 fix(proxy): allow safe MCP server discovery for virtual keys (#20421) 2026-02-10 16:10:18 +05:30
Lei Nie
08824f9912 [Bug] Fix missing image_tokens in Responses API output_tokens_details (#20404)
When transforming chat completion responses to Responses API format,
image_tokens from completion_tokens_details was not being included
in output_tokens_details. This affected Vertex AI/Gemini models that
return image token counts in candidatesTokensDetails with modality="IMAGE".

The fix adds image_tokens handling alongside existing reasoning_tokens
and text_tokens transformation.
2026-02-10 16:10:07 +05:30
Sameer Kankute
fc9cf1c870 Fix indentation error 2026-02-10 16:03:18 +05:30
Emerson Gomes
28e15f4fd6 fix(responses): preserve cached tool call objects in tool result recovery (#20700)
* fix(responses): preserve cached tool call objects in tool result recovery

* fix(responses): support attr-based cached tool call recovery

* Update litellm/responses/litellm_completion_transformation/transformation.py

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>

---------

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
2026-02-10 16:00:36 +05:30
Neel Harsola
4256c547c2 fix(bedrock): handle concatenated JSON in tool call arguments (#20742)
* fix(responses): preserve streamed tool deltas when id is omitted

* fix(responses): guard ambiguous tool-call index reuse

* add missing indexes on VerificationToken table

* fix(bedrock): handle concatenated JSON in tool call arguments

When using Bedrock Claude Sonnet 4.5 with tools enabled, the model
sometimes returns multiple tool call arguments as concatenated JSON
objects in a single arguments string, e.g.
  '{"command":["curl",...]}{"command":["curl",...]}{"command":["curl",...]}'

json.loads() fails on this with "Extra data", crashing the entire
request in _convert_to_bedrock_tool_call_invoke.

This commit:
- Adds split_concatenated_json_objects() helper in common_utils.py
  that uses json.JSONDecoder.raw_decode() to walk a string and extract
  each JSON object individually.
- Updates _convert_to_bedrock_tool_call_invoke() to catch JSONDecodeError
  and attempt splitting concatenated objects into separate Bedrock
  toolUse blocks (first block keeps original ID, subsequent blocks get
  suffixed IDs).
- Fixes duplicate json.loads calls and a shadowed 'id' builtin.
- Adds 12 unit tests covering normal, empty, concatenated, and edge cases.

Fixes #20543

---------

Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
Co-authored-by: Sameer Kankute <sameer@berri.ai>
Co-authored-by: Carlo Alberto Ferraris <cafxx@mercari.com>
2026-02-10 16:00:36 +05:30
moophlo
96206ec141 mcp: support http(s) URLs for spec_path in OpenAPI MCP loader (#20753)
* fix(responses): preserve streamed tool deltas when id is omitted

* fix(responses): guard ambiguous tool-call index reuse

* add missing indexes on VerificationToken table

* mcp: support http(s) URLs for spec_path in OpenAPI MCP loader

* test(mcp): add unit test for OpenAPI spec_path URL support

* Fix OpenAPI spec URL loading to use shared MCP httpx client

Ensure URL-based OpenAPI loading honors LiteLLM’s custom httpx configuration, add missing imports, and harden tests to prevent regressions or accidental direct httpx usage.

* removed unused import urlparse

* removed unsupported timeout argument

---------

Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
Co-authored-by: Sameer Kankute <sameer@berri.ai>
Co-authored-by: Carlo Alberto Ferraris <cafxx@mercari.com>
Co-authored-by: Andrea Odorisio <Andrea@BR-FHH9MWDQ2PMAC.local>
2026-02-10 16:00:36 +05:30
Rohith sai
59c81a30a0 fix(anthropic): route thinking requests through OpenAI responses (#20755)
* fix(anthropic): route thinking requests through OpenAI responses

* Apply suggestion from @greptile-apps[bot]

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>

---------

Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
2026-02-10 16:00:36 +05:30
Zero Clover
7f89508806 fix(sso): handle opaque access tokens in process_sso_jwt_access_token (#20726)
OIDC providers like Logto may return opaque (non-JWT) access tokens,
which caused jwt.decode() to raise DecodeError and crash the SSO
callback with a 500 error. Catch DecodeError and skip JWT-based
extraction gracefully, since user info is already available from
the UserInfo endpoint.

Fixes #20724
2026-02-10 16:00:36 +05:30
DenisStefanAndrei
2e680ca62b [Critical] - Fix ollama_chat reasoning content (#20750)
* Fix ollama_chat reasoning_context.

For ollama_chat models, reasoning context is ignored after 2 consecutive thinking chunks.

* add test
2026-02-10 16:00:36 +05:30
Praveena Mundolimoole
ab670a74f4 Add support for extra fields in Generic SSO via GENERIC_USER_EXTRA_ATTRIBUTES (#20761)
* Add chat completion support for websearch

* Add chat completion tool calls support and response transformation

* Add new methods in chat completion

* Add chat completion tool format

* Add callback for websearch in completion method

* Add test for web search

* Potential fix for code scanning alert no. 4046: Clear-text logging of sensitive information

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

* Update litellm/integrations/websearch_interception/tools.py

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>

* fix: empty guardrails/policies arrays should not trigger enterprise license check (#20567)

* fix: empty guardrails/policies arrays should not trigger enterprise license check (#20304)

The UI sends empty arrays for enterprise-only fields (guardrails, policies,
logging) even when the user has not configured these features. The backend
`is not None` check treated `[]` as a truthy intent to use the feature,
falsely requiring an enterprise license for basic team operations.

Backend: Add `and updated_kv[field] != [] and updated_kv[field] != {}`
guards in `_update_metadata_fields` so empty collections are skipped.

UI: Conditionally omit guardrails, logging, and policies from the
payload when empty instead of defaulting to `[]`.

Fixes #20304

* fix: allow clearing fields with empty collections while skipping enterprise check

Address PR review feedback:

1. Move the empty-collection guard into _update_metadata_field (singular)
   so that empty lists/dicts skip only the premium license check but still
   get written into metadata. This lets users intentionally clear a
   previously-set field (e.g. guardrails: []) without being blocked, while
   the UI's default empty arrays still don't trigger a false enterprise
   error.

2. Remove sys.path hack from test file; use standard imports that work
   with pytest discovery.

3. Add tests verifying that empty collections are moved into metadata
   (field clearing works) even though they bypass the premium check.

Fixes #20304

* fix critical CVE vulnerabliltes (#20683)

* fix: add hook to handle db case (#20635)

* Add team policy mapping for zguard (#20608)

* support policy mapping on team key level

* update document

* update document

* address comments

* update document

* add unit test for new feature

* add more test case

* feat: add support for anthropic_messages call type in prompt caching (#19233)

* feat: add support for anthropic_messages call type in prompt caching

* test: move anthropic_messages prompt caching test to main router test file

* add tutorial on using claude code with prompt cache routing

* docs: add SDK proxy authentication (OAuth2/JWT auto-refresh) documentation (#20680)

Adds documentation for the litellm.proxy_auth feature that automatically
obtains and refreshes OAuth2/JWT tokens when connecting to a LiteLLM Proxy.

* Fixes #20582 (#20663)

* fix: show error details instead of Data Not Available for failed requests (#20656)

* fix(ui): add null guard for models in API keys table (#20655)

The VirtualKeysTable crashed when rendering keys with null or undefined
models field. The className expression tried to access .length on null,
throwing a TypeError that broke the entire keys table.

Added Array.isArray() guard before accessing .length on the models value.

Fixes #20611

* Fix: Spend logs pickle error with Pydantic models and redaction (#20685)

* docs: add callback registration optimization to v1.81.9 release notes (#20681)

* docs: add callback registration optimization to v1.81.9 release notes

* Update v1.81.9.md

---------

Co-authored-by: Alexsander Hamir <alexsanderhamirgomesbaptista@gmail.com>

* Fix spend logs pickle error with Pydantic models

Replace copy.deepcopy() with Pydantic-safe serialization to avoid
"cannot pickle '_thread.RLock' object" errors when request/response
redaction is enabled.

Changes:
- Add _convert_to_json_serializable_dict() helper that uses
  model_dump() for Pydantic models instead of pickle
- Replace copy.deepcopy() calls in request and response redaction
  paths with the new helper function
- Recursively handles nested dicts, lists, and Pydantic models

Root cause: Pydantic v2 BaseModel instances contain internal
_thread.RLock objects for thread-safety. When copy.deepcopy()
attempts to pickle these objects, it fails because threading
primitives cannot be pickled.

Fixes #20647

* chore: remove unused copy import

Remove unused copy import that was causing lint failure. The copy.deepcopy()
calls were replaced with _convert_to_json_serializable_dict() helper function
in the previous commit, making the copy module no longer needed.

---------

Co-authored-by: ryan-crabbe <128659760+ryan-crabbe@users.noreply.github.com>
Co-authored-by: Alexsander Hamir <alexsanderhamirgomesbaptista@gmail.com>

* fix(vertex_ai): propagate extra_headers anthropic-beta to request body (#20666)

Vertex AI requires Anthropic beta flags in the request body
(anthropic_beta array), not as HTTP headers. The Bedrock handler
already extracts user-specified beta headers from the headers dict,
but the Vertex handler was missing this, causing extra_headers like
interleaved-thinking-2025-05-14 to be silently dropped.

This extracts anthropic-beta values from optional_params extra_headers
and merges them into the anthropic_beta request body field, and also
removes extra_headers from the request body since the parent's
transform_request spreads optional_params into data.

* fix(streaming): preserve interleaved thinking/redacted blocks

* test(streaming): build thinking chunks with typed Delta/StreamingChoices

* Fix video list pagination cursors not encoded with provider metadata

first_id and last_id in the video list response were returned as raw
provider IDs while data[].id was properly wrapped with
encode_video_id_with_provider(). This caused pagination to break when
clients passed unencoded cursors back as the `after` parameter.

- Encode first_id/last_id in transform_video_list_response
- Decode the `after` param in transform_video_list_request via
  extract_original_video_id()
- Add 6 unit tests covering encoding, decoding, passthrough, and
  full round-trip pagination

Fixes #20708

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix(responses): preserve streamed tool deltas when id is omitted

* fix(responses): guard ambiguous tool-call index reuse

* Add compaction for vertex ai

* Add all new feat for v1/messages

* Add inference_geo as supported messages param

* Add inference based costing

* Add inference_geo as supported messages param

* Add support for fast param

* Add fast mode for other providers

* Add documentation for Fast Mode

* add missing indexes on VerificationToken table

* Fix structured response of tool call

* Add tests for WebSearch interception with chat completions API

* Add doc for chat completion web search

* Fix: is_web_search_tool_chat_completion

* Fix double json import

* Add new vercel ai anthropic models

* Fix: base_model name for body and deplyment name in URL

* Add output_config as supported param

* Add response schema for vercel ai sonnet 4.5

* handle when litellm_parrams might be none

* Fix : litellm/tests/test_litellm/llms/bedrock/chat/invoke_transformations/test_bedrock_chat_invoke_transformations_anthropic_claude3_transformation.py

* fix: Missing return statement for async streaming

* Fix: get_supported_anthropic_messages_params

* Fix mypy issues

* Fix mypy issues

* Add support for extra fields in Generic SSO via GENERIC_USER_EXTRA_ATTRIBUTES

Enables extraction of additional fields from the Generic SSO userinfo endpoint response beyond the standard 8 fields (id, email, name, etc.). Custom handlers can now access these fields via CustomOpenID.extra_fields dict.

Changes:

- Add extra_fields: Optional[Dict[str, Any]] to CustomOpenID type

- Add GENERIC_USER_EXTRA_ATTRIBUTES env var (comma-separated field names)

- Extract specified fields using get_nested_value() with dot notation support

- Add 4 test cases covering basic, nested, and missing field scenarios

- Update custom_sso.py example showing how to access extra_fields

Backward compatible: extra_fields is None when env var not set

* docs: Add documentation for GENERIC_USER_EXTRA_ATTRIBUTES

Document the new GENERIC_USER_EXTRA_ATTRIBUTES environment variable for Generic SSO

- Add to admin_ui_sso.md: explanation and usage examples

- Add to config_settings.md: environment variable reference

- Add to custom_sso.md: code example showing how to access extra_fields

- Includes examples for nested field paths with dot notation

---------

Co-authored-by: Sameer Kankute <sameer@berri.ai>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: Varun Chawla <34209028+veeceey@users.noreply.github.com>
Co-authored-by: Harshit Jain <48647625+Harshit28j@users.noreply.github.com>
Co-authored-by: jwang-gif <j.wang@zscaler.com>
Co-authored-by: nuernber <benjamin.nuernberger@jpl.nasa.gov>
Co-authored-by: Cesar Garcia <128240629+Chesars@users.noreply.github.com>
Co-authored-by: John Lathouwers <john.lathouwers@oracle.com>
Co-authored-by: ryan-crabbe <128659760+ryan-crabbe@users.noreply.github.com>
Co-authored-by: Alexsander Hamir <alexsanderhamirgomesbaptista@gmail.com>
Co-authored-by: Elias Högbom Aronsson <elias.aronson@gmail.com>
Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com>
Co-authored-by: tshushan <tshushan@outbrain.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Carlo Alberto Ferraris <cafxx@mercari.com>
2026-02-10 16:00:28 +05:30
Sameer Kankute
a32e130c30
Merge pull request #20843 from BerriAI/litellm_langchain_aws
Add support for langchain_aws via litellm passthrough
2026-02-10 15:44:48 +05:30
Sameer Kankute
bffd7956a6
Merge pull request #19132 from BerriAI/litellm_gemini_schema_fix
fix: Preserved nullable object fields by carrying schema properties
2026-02-10 15:28:18 +05:30
Sameer Kankute
e3c00027b9 Handle image in assitant message for gemini 2026-02-10 14:06:18 +05:30
Sameer Kankute
cb8ce09b0d Add support for langchain_aws via litellm passthrough 2026-02-10 13:37:17 +05:30
Sameer Kankute
ce4bebbedf Changed asyncio.create_task() to await for storing batch objects 2026-02-10 12:42:39 +05:30
Sameer Kankute
45c8edbe25 Fix: Bug: Batch Rate Limiter Cannot Access User Files 2026-02-10 12:25:26 +05:30