GitHub Advanced Security flagged that the workflow had no permissions block,
leaving GITHUB_TOKEN with its default broad scope. All write operations
(git push, gh pr create) already use GH_TOKEN (PAT), so the implicit
GITHUB_TOKEN only needs read access.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
A re-run within the same second (or a leftover branch) would cause
`git push` to fail. Adding -f is safe since this is a bot-owned branch
that is immediately turned into a PR and never used for anything else.
Fixes inline suggestion from Greptile review.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Without the token in the checkout step the subsequent `git push` uses the
default GITHUB_TOKEN which lacks permission to push new branches, causing
the workflow to fail silently. Fixes issue flagged by Greptile review.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds a workflow that triggers whenever pyproject.toml is merged into main
and opens a PR with the refreshed lock file, fixing the recurring CI failure:
"pyproject.toml changed significantly since poetry.lock was last generated."
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Instead of raising an exception when some requested tokens are not found
in the DB, populate `failed_tokens` in the return dict so callers can
inspect which keys were not deleted without catching a generic Exception.
Supersedes #12577.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace the text-similarity based wow-actions/potential-duplicates with
opencode CLI + Claude Sonnet for semantic duplicate detection. The LLM
reads the full issue body and searches existing issues by keywords,
error messages, providers, and components — not just title similarity.
Requires ANTHROPIC_API_KEY repo secret.
Avoid constructing a default Usage() object that gets immediately
overwritten by convert_to_model_response_object. Set usage=None
instead; the real Usage is assigned via setattr later.
Also fix Bedrock Qwen2/Qwen3 transform_response to assign a new
Usage object instead of mutating a potentially missing one.
When extended thinking is enabled, the websearch interception agentic loop
builds a follow-up assistant message with only tool_use blocks. Anthropic's
API requires assistant messages to start with thinking/redacted_thinking
blocks when thinking is enabled, causing a 400 Bad Request.
Extract thinking blocks from the model's initial response, thread them
through the agentic loop, and prepend them to the follow-up assistant
message — matching the pattern used by anthropic_messages_pt in factory.py.
Fixes the error: "Expected 'thinking' or 'redacted_thinking', but found
'tool_use'"
The `router` name is already re-exported via `from .endpoints import *`,
making the explicit `from .endpoints import (router,)` on the following
lines redundant and triggering ruff F401 (imported but unused).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* add spec_path column to LiteLLM_MCPServerTable schema
* add spec_path to MCP request types and table model
* wire spec_path through build_mcp_server_from_table
* add openapi transport type constant
* add OpenAPI Spec as first-class transport option in create form
* add OpenAPI transport support to edit form with auto-detection
* support spec_path in connection status component
* support spec_path in tool configuration component
* support OpenAPI transport in test connection hook
* register OpenAPI tools on server add/update/reload
* preview OpenAPI tools in test/tools/list endpoint
* fix aviation safety topic filter: remove overly broad exceptions, add cockpit access block words
* fix airline brand protection filter: add identifier words, competitor/ops block words, tighten exceptions
* add example_sentences to all policy templates + topic-filtering and prompt-injection templates
* add policy_endpoints package with AI policy suggester
* update test patch targets for policy_endpoints package move
* add unit tests for AI policy suggester
* add suggestPolicyTemplates networking function
* add AI suggestion modal component
* add Use AI button and template loading callback to PolicyTemplates
* wire up AI suggestion modal in policies page
* fix policy_templates_backup.json path after package move
* add estimated_latency field to all policy templates
* use llm_router and accept model parameter in ai_policy_suggester
* add model param to suggest templates endpoint
* pass model param in suggestPolicyTemplates
* polish ai suggestion modal: model selector, auto-growing textareas, latency badges
* add template queue for processing multiple AI-suggested templates
* show template progress badge in guardrail selection modal
AgentCore MCP server endpoints require the Accept header to contain
both application/json and text/event-stream per the MCP specification
(Streamable HTTP transport). Without this header, requests are rejected
with a 406 Not Acceptable error (JSON-RPC code -32011).
Sets the Accept header at the top of sign_request() so both JWT/Bearer
and SigV4 authentication paths include it.
* fix(scim): handle deprovisioning operations without path field
When SCIM providers send deprovisioning requests without a path field
(e.g., {"op": "replace", "value": {"active": false}}), the code was
storing the value under an empty string key in metadata.
This fix:
- Detects operations with no path where value is a dict
- Extracts and handles known fields like 'active' correctly
- Sets metadata["scim_active"] = false instead of metadata[""] = {"active": false}
Fixes: SCIM deprovisioning creating empty string keys in user metadata
* fix(scim): handle all known fields in operations without path
Extended the fix to handle all SCIM fields (not just active) when
operations have no path field:
- active -> scim_active
- displayName -> user_alias
- externalId -> user_id
- name.givenName/familyName -> scim_metadata
Added comprehensive test for multiple fields without path.
Addresses Greptile review feedback on RFC 7644 compliance.
* trigger PR update
The Apertus 8B and 70B models do not support standard OpenAI-style
tool calling. Per Swiss AI's docs, tool use integration into inference
engines is still in development. Set supports_function_calling and
supports_tool_choice to false.
Fixes#21124
- Add warning when credential name is not found in credential_list
- Remove litellm_credential_name from credentials dict after resolution
Addresses Greptile bot review comments on PR #21502