These constants were added as hardcoded values in #21533 without environment
variable support, causing test_all_numeric_constants_can_be_overridden to fail.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
For multi-turn conversations, convert thinking_blocks on assistant
messages into content blocks prepended before the rest of the content,
so reasoning context is passed back to the hosted_vllm API.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* 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
* update policy templates with competitor pre/post guardrails and streaming enrichment
* sync policy_templates_backup.json with policy_templates.json
* add streaming enrichment endpoint, competitor variations, and model selection
* add streaming enrichPolicyTemplate networking function
* rewrite template parameter modal with streaming tags, AI/manual toggle, model selector
* update policies panel to pass enrichment options and show discovered competitors
* show discovered competitors as tags in guardrail selection modal
* use llm_router instead of litellm.acompletion, extract helpers, move constants
* validate competitors list size, cap variation prompt input
* add refinement instruction support for competitor discovery
* add instruction and existingCompetitors params to streaming enrichment
* add refinement input for iterating on competitor list with AI
* emit status events during variation generation so UI shows progress
* add onStatus callback to streaming enrichment
* show status spinner during variation generation, widen modal to 700px
* add tests for competitor enrichment helper functions
Add a new team member permission `/team/daily/activity` that allows
non-admin team members to see all team usage data, not just their own.
## Changes
- Add `TEAM_DAILY_ACTIVITY` to `KeyManagementRoutes` enum and available
team member permissions
- Add `_team_member_has_permission` helper in `common_utils.py`
- Modify `/team/daily/activity` endpoint to skip API key filtering when
the member has this permission
- Add permission description and method detection in the UI
- Add backend and frontend tests
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Four tests were broken by commit e00c181f0c (Mcp user permissions #21462):
1. test_list_tools_single_server_unprefixed_names: The commit changed
_get_tools_from_mcp_servers to always add server prefixes (add_prefix=True),
removing the conditional that skipped prefixing for single servers.
Updated assertion from "toolA" → "zapier-toolA".
2. test_mcp_get_prompt_success: mcp_get_prompt now extracts the server name
from a prefixed prompt name via split_server_prefix_from_name(). Passing
unprefixed "hello" returns server_name="" which matches no server → 403.
Updated call to use "server_a-hello" so the server lookup succeeds.
3. test_e2e_jwt_team_mcp_permissions_enforced &
4. test_e2e_jwt_team_mcp_key_intersection:
The commit replaced `from typing import List` with
`from litellm.proxy.proxy_server import general_settings` in
MCPRequestHandler.get_allowed_mcp_servers(). Both tests mock
litellm.proxy.proxy_server with a types.ModuleType that lacked
general_settings, causing ImportError. Added general_settings={} to
both mock modules.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Cast `guardrail` to `Dict[str, Any]` in `mcp_end_user_permission/__init__.py`
to fix "No overload variant of 'get' matches argument type 'str'" — the
`Guardrail` TypedDict's `.get()` overloads resolve the key type to `Never`
when chained with a `{}` default, making further `.get()` calls fail.
- Cast `fn` to `Dict[str, Any]` in `transformation.py`
`transform_chat_completion_tool_params_to_responses_api_tools` to fix
'"object" has no attribute "get"' — `tool.get("function")` on
`Union[ChatCompletionFunctionToolParam, OpenAIMcpServerTool]` returns
`object` because `"function"` is not a key in `OpenAIMcpServerTool`.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
test_complete_reload_flow and test_distributed_reload_check_function both
trigger code paths that assign a minimal stub dict to litellm.model_cost
(via the /reload/model_cost_map endpoint and _check_and_reload_model_cost_map).
Without restoring, subsequent tests in the same worker can't find gpt-4o
pricing and calculate spend=0.0 instead of the expected value.
Added try/finally save-and-restore of litellm.model_cost in both tests,
matching the pattern used in test_reload_model_cost_map_admin_access.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
