litellm oss staging 09/02/2026 - #20783
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Greptile OverviewGreptile SummaryThis PR extends the Generic SSO flow to optionally capture additional userinfo fields into a new Confidence Score: 4/5
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| Filename | Overview |
|---|---|
| litellm/proxy/management_endpoints/ui_sso.py | Adds GENERIC_USER_EXTRA_ATTRIBUTES support to capture additional userinfo fields into CustomOpenID.extra_fields; needs guard to skip empty attribute names when parsing env var. |
| litellm/proxy/management_endpoints/types.py | Extends CustomOpenID with extra_fields: Optional[Dict[str, Any]] for passing through custom SSO attributes. |
| litellm/proxy/management_endpoints/common_utils.py | Adjusts premium metadata field update logic to skip enterprise license check for empty collections while still writing them to metadata (supports intentional clearing). |
| tests/test_litellm/proxy/management_endpoints/test_ui_sso.py | Adds unit tests covering extra_fields extraction for Generic SSO (basic, unset, nested paths, missing fields). |
Sequence Diagram
sequenceDiagram
participant Env as Environment
participant SSO as generic_response_convertor()
participant Util as get_nested_value()
participant OID as CustomOpenID
Env->>SSO: GENERIC_USER_*_ATTRIBUTE vars
Env->>SSO: GENERIC_USER_EXTRA_ATTRIBUTES (csv)
SSO->>Util: extract standard fields (id/email/name/...)
alt GENERIC_USER_EXTRA_ATTRIBUTES set
loop each attr in csv
SSO->>Util: get_nested_value(response, attr)
Util-->>SSO: value or None
end
end
SSO->>OID: return CustomOpenID(..., extra_fields)
| if generic_user_extra_attributes: | ||
| extra_fields = {} | ||
| for attr_name in generic_user_extra_attributes.split(","): | ||
| attr_name = attr_name.strip() | ||
| extra_fields[attr_name] = get_nested_value(response, attr_name) |
There was a problem hiding this comment.
Empty attr name creates "" key
If GENERIC_USER_EXTRA_ATTRIBUTES contains a trailing comma or consecutive commas (e.g. "dept,,manager,"), attr_name.strip() can become an empty string andq’ll end up populating extra_fields[""] = .... That’s observable in downstream custom handlers and also masks configuration mistakes. Consider skipping empty attr_name entries before calling get_nested_value().
Also applies to whitespace-only entries.
…TRIBUTES (#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>
* Fix ollama_chat reasoning_context. For ollama_chat models, reasoning context is ignored after 2 consecutive thinking chunks. * add test
…#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
) * 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>
* 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>
* 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>
…very (#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>
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…09_2026 litellm oss staging 09/02/2026
…TRIBUTES (#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
Update litellm/integrations/websearch_interception/tools.py
fix: empty guardrails/policies arrays should not trigger enterprise license check (fix: empty guardrails/policies arrays should not trigger enterprise license check #20567)
fix: empty guardrails/policies arrays should not trigger enterprise license check ([Bug]: Empty guardrails/policies arrays in UI payload trigger false 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 Nonecheck 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_fieldsso empty collections are skipped.UI: Conditionally omit guardrails, logging, and policies from the payload when empty instead of defaulting to
[].Fixes #20304
Address PR review feedback:
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.
Remove sys.path hack from test file; use standard imports that work with pytest discovery.
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 (fix critical CVE vulnerabliltes #20683)
fix: add hook to handle db case (fix: add hook to handle db case #20635)
Add team policy mapping for zguard (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 (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 (docs: add SDK proxy authentication (OAuth2/JWT auto-refresh) #20680)
Adds documentation for the litellm.proxy_auth feature that automatically obtains and refreshes OAuth2/JWT tokens when connecting to a LiteLLM Proxy.
Fixes OCI: Add response_format support and fix type strictness issues #20582 (OCI: Cohere responseFormat/Pydantic #20663)
fix: show error details instead of Data Not Available for failed requests (fix: show error details instead of 'Data Not Available' for failed requests #20656)
fix(ui): add null guard for models in API keys table (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 (Fix: Spend logs pickle error with Pydantic models and redaction #20685)
docs: add callback registration optimization to v1.81.9 release notes (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
Replace copy.deepcopy() with Pydantic-safe serialization to avoid "cannot pickle '_thread.RLock' object" errors when request/response redaction is enabled.
Changes:
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
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.
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
afterparameter.afterparam in transform_video_list_request via extract_original_video_id()Fixes #20708
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
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
Relevant issues
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🆕 New Feature
🐛 Bug Fix
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