fix(ui): add null guard for models in API keys table - #20655
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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 BerriAI#20611
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Greptile OverviewGreptile SummaryFixed a runtime crash in the Virtual Keys table caused by null/undefined
Confidence Score: 5/5
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| Filename | Overview |
|---|---|
| ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.tsx | Added Array.isArray() guard on line 730 to prevent crash when accessing .length on null/undefined models value in className expression |
| ui/litellm-dashboard/src/components/VirtualKeysPage/VirtualKeysTable.test.tsx | Added two test cases verifying table renders without crashing when models field is null or undefined |
Sequence Diagram
sequenceDiagram
participant User
participant VirtualKeysTable
participant TableCell
participant CellRenderer
User->>VirtualKeysTable: View API Keys page
VirtualKeysTable->>VirtualKeysTable: Fetch keys data
Note over VirtualKeysTable: Key with models=null
VirtualKeysTable->>TableCell: Render table row
TableCell->>TableCell: Compute className
alt Before fix
TableCell->>TableCell: Check: cell.column.id === "models"
TableCell->>TableCell: Access: cell.getValue().length
Note over TableCell: TypeError: Cannot read<br/>property 'length' of null
TableCell-->>User: Page crashes
end
alt After fix
TableCell->>TableCell: Check: cell.column.id === "models"
TableCell->>TableCell: Check: Array.isArray(cell.getValue())
Note over TableCell: Returns false for null
TableCell->>TableCell: Skip .length check
TableCell->>CellRenderer: Render cell content
CellRenderer->>CellRenderer: Array.isArray(models) check
CellRenderer-->>User: Display empty cell (null case)
end
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BerriAI:litellm_oss_staging_02_08_2026
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…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>
Sameerlite
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Feb 10, 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 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>
fzowl
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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 BerriAI#20611
fzowl
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…TRIBUTES (BerriAI#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 (BerriAI#20567) * fix: empty guardrails/policies arrays should not trigger enterprise license check (BerriAI#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 BerriAI#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 BerriAI#20304 * fix critical CVE vulnerabliltes (BerriAI#20683) * fix: add hook to handle db case (BerriAI#20635) * Add team policy mapping for zguard (BerriAI#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 (BerriAI#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 (BerriAI#20680) Adds documentation for the litellm.proxy_auth feature that automatically obtains and refreshes OAuth2/JWT tokens when connecting to a LiteLLM Proxy. * Fixes BerriAI#20582 (BerriAI#20663) * fix: show error details instead of Data Not Available for failed requests (BerriAI#20656) * fix(ui): add null guard for models in API keys table (BerriAI#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 BerriAI#20611 * Fix: Spend logs pickle error with Pydantic models and redaction (BerriAI#20685) * docs: add callback registration optimization to v1.81.9 release notes (BerriAI#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 BerriAI#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 (BerriAI#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 BerriAI#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 * 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: Carlo Alberto Ferraris <cafxx@mercari.com>
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Summary
modelsfield isnullorundefinedclassNameexpression on theTableCelltried to access.lengthon a potentially null value, throwing aTypeErrorthat broke the entire keys pageArray.isArray()guard before accessing.lengthon the models valueRoot Cause
In
VirtualKeysTable.tsxline 730, the expression:crashes when
cell.getValue()returnsnullorundefined(which happens when a key has no models set). JavaScript short-circuit evaluation evaluates the second operand when the first is truthy, causingnull.lengthto throw.Fix
Test plan
nullmodelsundefinedmodelsFixes #20611