chore(ci): promote internal staging to main - #32027
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The Loadbalancing tab rendered routing_groups as a generic text input and sent its array value back as the JSON string "[]", which fails Pydantic list validation on POST /config/update and returns 422. routing_groups has its own dedicated Routing Groups tab, so this tab must neither render nor write it; exclude it the same way retry_policy and model_group_retry_policy are excluded for the Model Retry Settings tab. The save was also fire-and-forget: setCallbacksCall was not awaited, so the rejected promise escaped the try/catch and the success toast fired unconditionally, showing success even when the backend rejected the change. Await the call, gate the success toast on resolution, and surface the error.
Address Greptile P2: the routing_groups test read setCallbacksCall.mock.calls[0][1] immediately after the now-async save handler, so any latency in the mock would throw an opaque TypeError instead of a clean assertion failure. Assert through toHaveBeenCalledWith inside waitFor with expect.not.objectContaining, dropping the index access and the cast. Also drop the ticket id from the test names.
…057) Drives the real save flow against a live proxy: seeds a present routing_groups array (the LIT-4057 trigger) via the typed /config/update contract, changes num_retries on the Loadbalancing tab, and asserts the POST returns 200 instead of 422, the success toast appears, and the value still shows after a reload (the ticket's "refresh shows old values" symptom). The round-trip is typed against the OpenAPI-generated backend schema (ConfigYAML write, RouterSettingsResponse read) through a type-only import, so a backend contract drift fails the type check.
Address an adversarial review of the Loadbalancing e2e: - The "typed against the backend schema" claim was hollow: nothing type-checked e2e_tests (the root tsconfig excludes it and no CI step runs tsc), so a contract drift would compile and run unchanged. Add e2e_tests/tsconfig.json, a typecheck:e2e script, and a CircleCI step so the schema typing actually gates. - The two describe blocks both mutate the proxy's shared router_settings, and the Loadbalancing save echoes the whole settings object, so they could clobber each other under local fullyParallel. Run the file serially. - patchRouterSettings swallowed a failed seed, which surfaced later as a misleading UI timeout. Assert the write succeeded, and rely on the server-side merge instead of echoing the whole settings object back (drops a cast and a GET). - Empty routing_groups already reproduces the bug, so drop the non-empty seed and its model coupling.
…he editor The e2e runs against the real proxy, so a contract drift already fails the test at runtime; tsc only checks the spec against schema.d.ts, a generated snapshot, so a backend change with a stale snapshot would pass tsc while the live test still catches it. The dedicated tsconfig + script + CI step were circular ceremony for that. Keep the zero-runtime-cost type-only import, which still catches mistakes in the editor, and make its comment honest about what enforces the contract.
* ci(codspeed): pin benchmark runner to ubuntu-24.04 ubuntu-latest resolves to different runner images between the BASE (main/staging) and HEAD (PR) runs, so CodSpeed reports 'Different runtime environments detected' and emits false-positive regressions (e.g. a -25.2% swing on test_completion_multi_turn in #31684, an MCP auth fix with no LLM code changes). Pinning the runner to a fixed image keeps BASE and HEAD on the same hardware so 1 ms swings on a ~3 ms benchmark stop blocking unrelated PRs. Fixes #31738 * ci(codspeed): stop running benchmarks on litellm_internal_staging The CodSpeed check flip-flops on internal staging and on PRs targeting it (e.g. "+11.75% improvement" on one run, "-25.36% regression" on the next) because the comparison flags "different runtime environments" and the benchmarks are only 3-4 ms, so sub-millisecond runner noise swings the result by 25-30%. Pinning the runner to ubuntu-24.04 in this PR helps the head side, but the internal_staging base is still recorded on the old unpinned runner, so comparisons keep flapping until the pin merges and the base is re-baselined. Until that settles, the red X's on internal staging make the OSS project look unhealthy and confuse contributors, so drop the litellm_internal_staging push and pull_request triggers and keep CodSpeed running on main only. --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
… the proxy (#31689) * test(pass-through): de-flake vertex spend-log assertion by re-billing The vertex pass-through spend-log test asserted that a single billed generateContent call moved the global spend aggregate within a fixed wait. CI failures show the call returning a valid response with real usage, yet spend never increasing over a 240s poll. Pass-through spend logging is best-effort: the success handler is enqueued on a background worker that can drop or time out an individual event under load and never retries it, so one billed call occasionally never reaches LiteLLM_SpendLogs. Waiting longer cannot recover a dropped event; only re-issuing the call can. Re-bill the call up to a few times and require at least one to be tracked, mirroring the sibling jest test that already retries. The test still fails hard if cost tracking is actually broken, since then every call records nothing. Also sum spend across all returned days instead of matching the runner's local 'today', removing a separate UTC-rollover flake. * test(pass-through): route vertex spend-log test through proxy via direct HTTP The vertexai SDK, configured with location="global" and an http api_endpoint override, intermittently sends generateContent to the public Vertex endpoint instead of the proxy. Proxy logs from a failing run show all 46 of the test's own spend-log polls reaching the proxy while zero generateContent calls did, so LiteLLM never saw the billed call and no spend was ever recorded; re-billing through the SDK could not help because every retry bypassed the proxy too. Issue the pass-through request directly over HTTP so it always hits the proxy, minting a Google token from the same service-account credentials, then assert that the specific call's own spend log lands with spend > 0, a gemini model, and custom_llm_provider vertex_ai. A small best-effort retry covers the rare case where the background logging worker drops a single event; failing every attempt still fails hard so the test keeps its teeth if cost tracking breaks. * test(pass-through): reuse LITE_LLM_ENDPOINT and drop needless async in get_tracked_spend
…(VERIA-493) (#31742) Two NVIDIA-Riva-specific fields consumed by the audio-transcription handler via the provider's `optional_params` passthrough were not covered by the proxy's existing banned-request-body list or the admin-config clearing list applied on `api_base` BYOK override: * `nvcf_function_id` * `use_ssl` Add both to `_BANNED_REQUEST_BODY_PARAMS` in `litellm/proxy/auth/auth_utils.py` and to the kwargs-only list in `_admin_config_fields_to_clear_on_base_override()` in `litellm/router_utils/clientside_credential_handler.py`, next to the analogous provider-specific entries already there (`aws_bedrock_*`, OCI provider fields, etc.). Same admin opt-ins as every other entry on those lists (`general_settings.allow_client_side_credentials` proxy-wide, or `configurable_clientside_auth_params` per deployment). Regression tests in `tests/test_litellm/proxy/auth/test_auth_utils.py` cover root-level rejection, the historical `api_key` bypass, both admin opt-in paths (proxy-wide and per-deployment), nested-container smuggling via the existing recursive walk, and clearing on `api_base` override. Mutation check verified. Resolves VERIA-493
…gs_routing_groups_save fix(ui): fix Router Settings Loadbalancing tab save (LIT-4057)
…ve can't overwrite secrets (#28089) * feat(ui): add provider auth editing to the model edit view Provider API keys / auth could previously only be changed by hand-editing the raw litellm_params JSON, so there was no first-class way to rotate a model's key. Adds an Authentication section that renders the correct provider-specific fields (reusing ProviderSpecificFields) keyed off the model's custom_llm_provider; fields are blank ("leave blank to keep current") so untouched secrets are preserved and only entered values are PATCHed and encrypted at rest. Resolves LIT-3169 * refactor(ui): simplify model auth editing; fix stale credential branch Drop the onFieldsResolved/authFieldKeys round trip: the parent now resolves provider auth field keys itself via the new useProviderAuthFieldKeys hook (same metadata ProviderSpecificFields renders), removing the report-up effect and its stable-reference footgun. ProviderSpecificFields keeps only excludeKeys (real need: suppress duplicate visible inputs). Fix the stale Authentication branch: derive it from the live litellm_credential_name form value (Form.useWatch) instead of the server snapshot, so clearing/adding a credential mid-edit shows the right UI. Also skip inline auth updates entirely when a named credential is selected, so we never submit a credential name and raw inline auth together. * fix(ui): don't leak freshly-entered model auth secrets to display/console The auth values a user types are still sent in the PATCH request, but: - strip them from the locally-stored litellm_params after save so the read-only LiteLLM Params JSON doesn't render the plaintext key - remove the debug console.log in modelPatchUpdateCall that dumped the full update payload (incl. api_key / vertex_credentials) to the browser console on every model update Backend stores these encrypted and returns them masked on refetch. * fix(ui): don't require blank auth fields in model edit context Auth fields render blank ('leave blank to keep'), but required metadata (e.g. OpenAI api_key) added a required validation rule that blocked onFinish entirely — making it impossible to save any unrelated edit without re-entering the secret. Add a disableRequired prop to ProviderSpecificFields and set it in the model edit Authentication section. * fix(ui): rotate model credentials in a dedicated modal so a normal save can't overwrite secrets The model edit form seeded the read-only LiteLLM Params textarea with the whole litellm_params blob and re-sent all of it on every save. Because /model/info redacts secrets by masking them ("azur****BBCC") rather than removing them, any save re-encrypted the asterisk mask over the real value and silently destroyed credentials such as azure_ad_token, aws_session_token, watsonx token/zen_api_key and the OCI key fields. api_key, client_secret, vertex_credentials and the AWS access/secret keys were safe only because the backend strips those entirely Credential rotation now lives in a dedicated UpdateModelCredentialsModal that PATCHes only the fields the user types, decoupled from the params blob; the backend already merges partial litellm_params, so the rest of the deployment is left untouched. The general edit form drops masked values from both the textarea seed and the outbound payload, so a normal save can never carry a redacted secret Also removes the now-unused inline auth section and its excludeKeys and useProviderAuthFieldKeys plumbing, strips secret-leaking console.logs from the provider upload handler and the model-update response, and fixes a react-hooks/use-memo error that was failing the frontend-lint CI job * chore(ui): ratchet no-explicit-any lint metric to 2013 Removing the credential-echoing console.log (and its info: any param) from the provider upload handler dropped the tracked count by one; update the committed baseline so the Check lint budgets CI step is not stale * refactor(ui): scope the model credential modal to api-key rotation only Narrows UpdateModelCredentialsModal to a single API Key field. On submit it PATCHes only { api_key }, so the backend merge leaves every other deployment param untouched; a model authed via azure_ad_token, AWS keys, or a Vertex JSON won't have anything to rotate here yet, which is the intended scope for now. Drops the multi-field provider rendering this added earlier, which also removes the now-unused disableRequired prop from ProviderSpecificFields and reverts that shared component to its prior shape. The "Update API Key" trigger button is now an antd Button rather than a TremorButton, so the feature introduces no tremor. * refactor(ui): convert the model detail toolbar buttons from tremor to antd Switches Test Connection, Re-use Credentials and Delete Model to antd Button so the toolbar matches the Update API Key button and no longer mixes libraries; Delete Model uses antd's danger styling instead of hand-rolled red classes * style(ui): make the api-key modal submit button primary and drop the Need Help link
* feat(proxy): audit default user settings updates Adds audit logging for the customer-impacting path: PATCH /update/internal_user_settings, which is what the admin dashboard hits when an admin changes Default User Settings and which today leaves no record of who changed what. Introduces the small framework that future system-wide settings audits will share: a CONFIG_TABLE_NAME enum value, a create_config_audit_log helper that reuses the existing create_object_audit_log path (so the enterprise gate and store_audit_logs flag still apply), and a _dump_redacted_config helper that strips secret leaves before the row is written using the same matcher /config/field/info applies for non-admins. The helper handles environment_variables as a special case where every value is redacted, since that section carries credentials under non-secret-looking uppercase keys (e.g. DATABASE_URL). Only update_internal_user_settings is wired up in this change. Coverage for the other LiteLLM_Config writers (/config/update sections, /config/field/update, /config/field/delete, /config/callback/delete, default_team_settings, mcp_semantic_filter, allowed_ip, sso_settings, ui_theme, ui_settings) is intentionally a follow-up so each can be verified live against the credential-bearing fields it actually carries. The audit-actor parameter on _update_litellm_setting is optional today so non-audited callers keep working unchanged; the follow-up will make it required once every caller is wired up. * fix(proxy): make audit-log call non-blocking and serializer defensive Greptile review of #31753 surfaced three robustness issues with the audit-log call path. The settings change always commits; these fixes prevent post-commit audit failures from surfacing as 500 responses. Switch the audit-log call in _update_litellm_setting from a blocking await to asyncio.create_task, matching the create_object_audit_log pattern every other call site uses (model_management_endpoints etc.). A transient prisma blip or a JSON serialization error in the audit row no longer turns a successful save_config into a 500 the caller sees. Add default=str to both json.dumps calls in _dump_redacted_config so a YAML-loaded value with a non-JSON-native leaf (datetime, custom object) serializes cleanly. The sibling audit-log serializers in team_endpoints.py already pass default=str for the same reason. Tighten the redact_all_values branch to redact wholesale for non-dict inputs rather than silently falling through to the key-name matcher; defensive against a future change that stores a section as a list or scalar. Each fix has a regression test mutation-checked against reverting the fix. * refactor(proxy): drop unreachable non-dict redact_all_values branch The defensive non-dict fallback in _dump_redacted_config emitted json.dumps("REDACTED") which, if ever hit, would crash LiteLLM_AuditLogs construction (mask_api_keys validator calls json.loads on the already- parsed bare string). Reachability is zero: redact_all_values is True only for param_name=="environment_variables", which is always a dict. Delete the dead branch and its test rather than ship provably-wrong defensive code with a test that green-lights it.
…mpletions and anthropic messages (#31669) * fix(websearch): wire chat completion agentic loop to correct hooks maybe_run_chat_completion_agentic_loop was calling async_should_run_agentic_loop (Anthropic format) and async_run_agentic_loop (Anthropic path) instead of the chat-completion variants. This meant WebSearchInterceptionLogger never intercepted chat completion requests — the LLM returned a litellm_web_search tool_call but the agentic loop never executed, so the raw tool_calls response was returned to the caller. Fix: gate on async_should_run_chat_completion_agentic_loop override, call that hook and async_build_chat_completion_agentic_loop_plan / async_run_chat_completion_agentic_loop in the execution path. Regression test added. * fix(websearch): strip tool_choice from follow-up request When the original request forces tool_choice to litellm_web_search, the follow-up request after search execution inherited that tool_choice, causing the model to call the search tool again instead of synthesizing an answer from the results. * fix(websearch): inject api_key into agentic hook kwargs for anthropic messages Follow-up calls inside async_run_agentic_loop (e.g. websearch interception's synthesis call after executing Exa/Perplexity searches) were missing api_key because the named api_key param in async_anthropic_messages_handler was never merged into the kwargs dict forwarded downstream. Result: every /v1/messages websearch follow-up failed with "x-api-key header is required" and the caller received the raw tool_use response instead of the synthesized answer. * ci: trigger CI run * fix(websearch): support unified agentic hooks alongside chat-completion-specific hooks CodeInterpreterInterceptionLogger uses async_should_run_agentic_loop with _agentic_loop_api_surface to handle both surfaces from one hook. The chat completion loop must also check _gate_overridden so callbacks using the unified hook pattern still fire for chat completions. * fix(websearch): strip tool_choice from legacy chat completion follow-up call The _execute_chat_completion_agentic_loop path merged original optional_params (which includes forced tool_choice) into follow-up params without explicit removal. _build_chat_completion_request_patch already excluded tool_choice from its optional_params output, but dict.update() with a missing key leaves the original value intact. Explicit pop after the merge removes it. * fix(websearch): always strip tool_choice from plan-path follow-up params The tool_choice removal was gated on patch.tools is not None. WebSearch sets tools via patch.optional_params not patch.tools, so the gate was False and forced tool_choice from the original request survived into the synthesis call. Move the pop outside the patch.tools branch so it applies unconditionally.
…ion_id is set (#31688) * feat(sandbox): reuse e2b container across requests when metadata.session_id is set When a client passes `metadata.session_id` in a /chat/completions request alongside a code_interpreter tool, the proxy now routes all requests sharing that session_id to the same sandbox container. State (variables, imports, installed packages) persists across requests within the session. Without a session_id the existing ephemeral behavior is unchanged: one container per agentic loop, deleted immediately after. The sandbox key is derived from session_id rather than a per-request UUID. The cleanup and post-loop hooks skip deletion for session-scoped containers. TTL-based pruning (15 min idle) still applies and refreshes on every use, so an active session never expires mid-use. The session_id-scoped key is registered in all_litellm_params and the proxy strip-list so it never leaks to the upstream LLM provider. * fix(sandbox): scope session sandbox key to API key identity; add per-identity LRU cap Two security issues addressed: 1. Cross-user sandbox isolation: the session_id supplied by the client is now combined with the server-minted user_api_key_hash to form the cache key (format: "{hash}:{session_id}" when authenticated, bare session_id for non-proxy use). Two tenants sharing the same session_id no longer share a sandbox. 2. Bounded session allocation: each API key identity is capped at _SESSION_SCOPED_PER_IDENTITY_CAP (10) live session-scoped containers. When a new session is opened beyond the cap, the least-recently-used entry for that identity is evicted and its sandbox deleted, preventing unbounded accumulation via rotating session IDs. The container cache tuple gains a fourth element (identity: str | None) so eviction can filter by identity without parsing key formats. Tests added for both properties.
…#31776) * feat(proxy): support object_permission in default_key_generate_params default_key_generate_params filled in a fixed whitelist of scalar fields plus a full-replace for models/metadata, but never touched object_permission, so admins had no way to set a default (e.g. mcp_tool_search_enabled, vector_stores) applied to every new key. Merge object_permission field-by-field instead of replacing it wholesale, so a caller-supplied field (e.g. mcp_servers) is preserved alongside defaulted fields the caller left unset. * ci: retrigger proxy_pass_through_endpoint_tests (suspected flake, unrelated to this PR's diff) * fix(proxy): apply default object_permission after team-scope validation Injecting the default before validate_key_vector_stores_against_team / validate_key_search_tools_against_team ran meant a default containing a team-scoped field (e.g. vector_stores) looked like a caller-requested permission, turning ordinary non-admin personal key creation into a 403. Merge the default into data_json after those checks instead, and guard against a non-dict default value.
…tic loop (#31681) * feat(guardrails/headroom): add CCR (compress-cache-retrieve) support via agentic loop When Headroom's /v1/compress returns messages containing hash markers (hash=[a-f0-9]{24}), inject a headroom_retrieve tool into the request. When the LLM calls that tool, intercept via async_should_run_agentic_loop and async_build_agentic_loop_plan, call GET /v1/retrieve/{hash} on the Headroom sidecar, and replay the LLM with the original content as a tool result -- all transparent to the caller. * style: run ruff format on headroom guardrail and tests * fix(guardrails/headroom): detect headroom_retrieve calls in both OpenAI and Anthropic response formats * test(guardrails/headroom): add test for Anthropic content block format detection in CCR loop * ci: trigger CI checks * fix(guardrails/headroom): replace List/Dict with list/dict to fix UP006 ruff violations * fix(guardrails/headroom): replace except Exception with except ValueError to fix BLE001 * fix(guardrails/headroom): add Responses API output format detection for CCR tool calls * refactor(guardrails/headroom): extract format-specific helpers to fix C901 complexity * fix(guardrails/headroom): scope CCR retrieval to hashes produced by current request Previously any LLM-supplied hash in a headroom_retrieve tool call was forwarded to the Headroom retrieve API, letting a crafted tool call fetch arbitrary cached content. Validate the hash against the set produced by compressing the current request's messages before calling retrieve. * fix(guardrails/headroom): track issued hashes server-side, fix Responses API replay shape Hash validation now also checks an in-memory cache of hashes actually returned by /v1/compress, not just whether the hash text appears somewhere in the request's messages. The message-text check alone is forgeable: an attacker can plant a hash-shaped string in their own prompt and have it treated as valid. Responses API follow-up now emits function_call/function_call_output items keyed by call_id instead of chat-style assistant/tool messages, since the Responses API does not accept the latter as input. Also fixes call_id/id field priority when extracting tool calls from Responses API output, since call_id (not id) is what must match between the function_call and its output. * fix(guardrails/headroom): drop redundant quoted type annotations UP037 flags quotes on annotations that are already lazily evaluated via `from __future__ import annotations`. * test(guardrails/headroom): add missing pytest.mark.asyncio decorators Functional under asyncio_mode=auto, but every other async test in the file has the decorator for consistency. * fix(guardrails/headroom): scope CCR hashes per call_id, fix Anthropic replay shape Two real gaps found in review: 1. The instance-wide issued-hash cache combined with a message-text check did not actually scope retrieval to the request that produced the hash. A hash issued for request A stays in the shared cache until TTL expiry, and the message-text check is satisfied by any request whose own messages happen to echo that hash string. Request B could plant A's hash in its own prompt and retrieve A's content. Fixed by keying the issued-hash cache by litellm_call_id, matching the pattern already used in compression_interception: a hash is only honored when it was issued under the exact call_id resolving for the current request. 2. The Anthropic Messages replay path fell through to the chat-style assistant/tool-message builder, which Anthropic does not accept. Anthropic requires the tool_use block echoed in an assistant message paired with a tool_result block in a user message, keyed by tool_use_id. Added a dedicated branch for this shape. * docs: note proactive API-fragmentation helper convention Add a bullet to the coding-conventions list: look for or add a shared helper when logic branches on API surface (chat completions vs Anthropic Messages vs Responses API), instead of duplicating format-detection per module. * fix(guardrails/headroom): fix Anthropic tool-shape detection, extract shared cross-API tool util Live e2e testing against the real Anthropic API surfaced two bugs the mocked unit tests couldn't catch because they used MagicMock responses instead of realistic response shapes: 1. has_headroom_retrieve_tool only recognized OpenAI-shaped function tools. By the time an Anthropic Messages response reaches the agentic-loop gate, the tool this guardrail injected has already been transformed into Anthropic's native shape (type: "custom", top-level "name"), so the gate never fired for real Anthropic requests. 2. AnthropicMessagesResponse is a TypedDict, so real responses are plain dicts at runtime, not objects with attribute access. The extractors and format detectors used bare getattr(), which silently returns nothing for dict responses instead of reading the actual key. Extracted the cross-API-surface tool-call extraction and tool-presence check into litellm/litellm_core_utils/prompt_templates/factory.py (get_tool_calls_from_response, has_tool_with_name) so this format fragmentation is handled in one place instead of being duplicated per-guardrail, and reused the existing repair-aware parse_tool_call_arguments from common_utils instead of a naive json.loads. headroom.py now delegates to these shared helpers. Confirmed live against the real Anthropic API: the retrieve loop now fires and successfully retrieves the correct hash's content through the full compress -> tool-call -> retrieve -> replay round-trip. * fix(guardrails/headroom): fix ruff-strict UP006/I001 budget violations Use lowercase list/dict generics in the new factory.py tool-call helpers instead of typing.List/Dict, drop the now-unused Tuple import in headroom.py, and reorder the new factory import ahead of the llms.custom_httpx import to satisfy import sorting. * fix(guardrails/headroom): match Anthropic tools without a type field Anthropic's documented client tool format is just name + input_schema; type: "custom" is only one possible value, not a requirement. Match any non-OpenAI-shaped tool on its top-level name instead of requiring type == "custom".
…31778) * feat: add cache control injection support for v1/messages endpoint Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: normalize string content to list for Anthropic-native cache_control injection Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: simplify cache control injection, fix system=[] bug, fix handler system type Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: extract cache control logic into static helper on AnthropicCacheControlHook Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: Krrish Dholakia <krrishdholakia@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(proxy): audit remaining system-wide settings updates Extends the audit logging framework introduced in the parent PR to the rest of the LiteLLM_Config writers and the two adjacent settings tables: /config/update (general, environment_variables, litellm_settings, router_settings sections), /config/field/update, /config/field/delete, /config/callback/delete, /update/default_team_settings, /update/mcp_semantic_filter_settings, /add/allowed_ip, /delete/allowed_ip, /update/sso_settings, /update/ui_theme_settings, /update/ui_settings. Each writer records the actor, action, the affected config section, and a redacted before/after snapshot. SSO and UI settings rows use their own table_name (LiteLLM_SSOConfig, LiteLLM_UISettings). The /config/callback and /update/sso_settings audits fire BEFORE the proxy reload and the env cleanup step respectively, so a failure in either leaves the audit row intact. The audit-actor parameter on _update_litellm_setting is now required rather than optional; the chokepoint covers default_team and mcp_semantic_filter for free, and a future caller that forgets the actor fails loudly instead of silently skipping the audit. The two direct-calling tests pass a dummy actor. The environment_variables section redacts every value rather than relying on key-name matching, because it carries credentials under non-secret-looking uppercase keys (e.g. DATABASE_URL). * fix(proxy): capture redacted SSO before-snapshot in audit log Greptile review of #31754 flagged update_sso_settings as the one endpoint where before_value is permanently None, so the LiteLLM_SSOConfig audit trail has no pre-change state. An auditor reviewing a secret-rotation event could see what the SSO settings were changed to but not what they were before. Read the existing SSO row before the upsert, decrypt it via proxy_config._decrypt_db_variables, and pass it as before_value. create_config_audit_log's secret-name redaction then masks the *_client_secret fields, so neither the old nor the new plaintext secret lands in the audit row. Add a regression test asserting the before-snapshot reflects the pre-change values for non-secret fields (google_client_id) and is redacted for secret fields (google_client_secret). Mutation-checked against reverting to before_value=None. The pre-existing SSO tests now also mock litellm_ssoconfig.find_unique since the endpoint reads it; the read returns None for tests that do not care about the before-state. * fix: remove committed zero init migration * refactor(proxy): audit config writes via asyncio.create_task everywhere PR A's chokepoint audit call was refactored from a blocking await to asyncio.create_task so that a post-save audit-log failure could not surface as a 500 to the caller. The 12 other audit call sites added in this PR were still using await, reintroducing the exact 500-after-commit exposure at every sibling endpoint. Wrap them all in asyncio.create_task to match the model_management_endpoints / key_management_endpoints / hooks / config_override_endpoints / team_callback_endpoints / cache_settings_endpoints house pattern, so the codebase tells one story. The two direct-invocation tests (test_update_config_general_settings and test_delete_config_general_settings, which call the handler in-process rather than via TestClient) yield with `await asyncio.sleep(0)` after the handler returns so the scheduled audit task runs before the assertion. --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com>
…3741) (#31784) Include top-level scalar fields from standard_logging_metadata in the combined metadata dict used by custom_prometheus_metadata_labels. Previously only nested sub-dicts (requester_metadata, user_api_key_auth_metadata, spend_logs_metadata) were spread into combined_metadata, so fields like user_api_key_project_alias were inaccessible and always resolved to None. Co-authored-by: unknown <> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
…31777) * feat(mcp): add tool search virtual tools for large catalogs When mcp_tool_search_enabled is set on a key's object_permission, tools/list returns only mcp_tool_search and mcp_tool_call instead of the full catalog. The LLM searches by keyword then calls discovered tools by name, avoiding context bloat with 100+ tool deployments. * fix(mcp): persist mcp_tool_search_enabled and route tool_call by name The mcp_tool_search_enabled flag existed on the Pydantic models but the Prisma schema lacked the column, so keys generated with the flag never persisted it and tools/list kept returning the full catalog. Add the column across all three schema.prisma copies plus a migration. handle_mcp_tool_call passed server_name="" into call_tool, which built a malformed prefixed name ("-<tool>") and failed to resolve the server. Resolve the caller's allowed servers and dispatch through execute_mcp_tool instead, matching how the normal /tools/call path routes. * fix(mcp): filter list_tools to virtual tools on the protocol path The REST surface (/mcp-rest/tools/list) returned only the two virtual tools when mcp_tool_search_enabled was set, but the MCP protocol handler (handle_list_tools, used by real MCP clients over streamable-http/SSE) still returned the full catalog. Apply the same early return there so an actual MCP client sees mcp_tool_search and mcp_tool_call instead of every tool. call_tool was already intercepted on this path. * fix(mcp): enforce IP + server filtering on virtual tool search/call Review flagged that the virtual mcp_tool_search/mcp_tool_call path skipped access controls the normal MCP flow applies. mcp_tool_call resolved allowed servers from key permissions only, never applying IP filtering, so a caller on a public IP could invoke a tool on a server marked available_on_public_internet: false. mcp_tool_search listed the raw catalog via global_mcp_server_manager.list_tools, exposing tool names/schemas that /tools/list would hide and ignoring per-key/per-server tool filters. Route both virtual handlers through the same filtered paths used by the normal MCP flow: search now calls _list_mcp_tools and call resolves servers via _get_allowed_mcp_servers, both threaded with the request client IP so filter_server_ids_by_ip applies. execute_mcp_tool then enforces the server allowlist and per-key tool permissions. Thread client_ip through _list_mcp_tools/_get_tools_from_mcp_servers and pass it from the REST and SSE call sites. * fix(ci): ruff format server.py and sync dashboard API types ruff format normalizes the list_tools client_ip changes in server.py, and schema.d.ts gains the mcp_tool_search_enabled object-permission field so the generated dashboard types match the proxy OpenAPI spec. * style(mcp): drop quoted annotations and sort imports Clears UP037 on the virtual tool handler signatures (redundant with from __future__ import annotations) and I001 on the list_tools import block. * refactor(mcp): extract virtual-tool dispatch and host progress capture Pulls the mcp_tool_search/mcp_tool_call interception and the host progress-callback setup out of mcp_server_tool_call into helpers, keeping that handler under the strict cyclomatic-complexity ceiling after the client_ip threading. No behavior change. * test(mcp): cover SSE virtual-tool dispatch and host progress helpers Adds unit tests for _dispatch_virtual_mcp_tool (non-virtual passthrough, flag-disabled rejection, search/call routing with client_ip), _capture_host_progress_callback, and the protocol list_tools virtual early-return, covering the new server.py paths. * fix(mcp): forward per-request auth headers through virtual tool handlers The virtual mcp_tool_search/mcp_tool_call path intercepted the request before the normal header extraction ran, so client-supplied per-request auth (Authorization for upstream pass-through, x-mcp-auth-<alias>) was dropped and execute_mcp_tool/_list_mcp_tools received None. Thread mcp_auth_header, mcp_server_auth_headers, oauth2_headers, and raw_headers from both the REST and SSE call sites through the handlers so upstream MCP servers that require pass-through auth can be listed and called. * fix(mcp): preserve requested server scope in virtual tool calls A scoped MCP session (/mcp/<server>/ or header-scoped) carries an mcp_servers scope that the normal call path passes into routing so the session can only reach that server. The virtual-tool branch dropped it and resolved with mcp_servers=None, letting a scoped session call mcp_tool_call for any server the key can access. Thread the context mcp_servers scope through _dispatch_virtual_mcp_tool into both handlers so search and call resolve against the same scoped server set. * fix(mcp): convert virtual tool errors to isError on the protocol path The virtual-tool dispatch ran before the protocol handler's HTTPException and guardrail handling, so a rejected virtual call (e.g. an out-of-scope 403 from execute_mcp_tool) raised out of mcp_server_tool_call and broke the MCP JSON-RPC stream instead of returning an isError CallToolResult. Move the dispatch inside the same try that wraps call_mcp_tool so virtual-tool errors get the same isError conversion as normal tool calls. * fix(mcp): spend-log virtual tool calls on the REST path The REST virtual-tool branch returned before common_processing_pre_call_logic, so execute_mcp_tool ran without a litellm_logging_obj and virtual mcp_tool_call invocations were not spend-logged or guardrail-checked like normal calls. Run the same pre-call pipeline in the call branch and thread the resulting litellm_logging_obj through handle_mcp_tool_call into execute_mcp_tool. * fix(mcp): reject virtual tool call when key has no accessible servers handle_mcp_tool_call passed an empty allowed_mcp_servers list into execute_mcp_tool; an unprefixed local tool name then fell through to the local registry, which has no server permission check, so a key with only mcp_tool_search_enabled and no server grants could run operator-configured local tools by name. Reject with 403 before dispatch when no servers are accessible, matching call_mcp_tool. * docs(mcp): document virtual tool_search module and parity rule in AGENTS.md * style(mcp): apply ruff format at repo line-length (120) * fix(mcp): add mcp_tool_search_enabled to ObjectPermissionDict and customer test fixture * chore: trigger CI * fix(mcp): mirror pre-call pipeline, guard imports, coerce top_k, honor include_disabled_tools - SSE mcp_tool_call now runs common_processing_pre_call_logic so it spend-logs and runs guardrails like the REST path (P1) - coerce_top_k avoids ValueError on non-integer top_k from clients (both REST and SSE) - guard mcp.types import in tool_search behind runtime/TYPE_CHECKING per package convention - admin list with include_disabled_tools returns the real catalog even when mcp_tool_search_enabled is set
…_model_in_db is false (#31775) MCP servers created through the UI are persisted to the database independent of store_model_in_db, but the in-memory registry that GET /v1/mcp/server reads was hydrated from the database only through add_deployment, which runs solely when store_model_in_db is True. On a DB-backed single-instance proxy with store_model_in_db unset the registry started empty after a restart, so the MCP Servers page showed nothing until an add or edit triggered a reload. Hydrate the registry from the database on startup regardless of store_model_in_db via a new ProxyConfig.init_mcp_servers_from_db, honoring supported_db_objects.
…#31883) * chore(lint): raise basedpyright per-rule slack to 50% of baseline The per-rule ceilings in basedpyright-code-budget.json sat at roughly 10% slack over baseline, which several in-flight PRs are already bumping into. Raise the slack on every rule to at least 50% of its baseline so there is ample headroom for a long while, while never lowering any rule that already had more generous slack (e.g. reportReturnType stays at 100). Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * refactor(lint): collapse type/lint budgets to a single per-rule limit The three non-frontend budget files (ruff-strict, type-discipline, basedpyright-code) tracked a per-rule baseline and slack whose sum was the ceiling. Nothing consumed the split beyond that sum, so this replaces both keys with a single limit equal to the old baseline + slack; the original baselines live in git history if anyone needs them. The gate scripts and the ratchet guard now read limit directly. lint-budget-update no longer re-captures raw counts; it ratchets each rule's limit down by the number of violations this branch cleared since its branch point (the merge-base), so the granted headroom shrinks by exactly what was fixed and a limit never rises. The ratchet guard reads either schema so it still compares correctly across the migration boundary. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * chore(lint): surface staged-vs-working parity for pre-commit and budget-update make pre-commit selects which checks to run from the staged index but runs the linters over the working tree, so unstaged edits to tracked files and untracked files skew a green/red away from what a commit of only the staged changes would produce. There is no safe in-place way to lint the index, so the script now warns when unstaged or untracked changes are present, and CLAUDE.md documents that you must stage everything first for both make pre-commit and make lint-budget-update to predict CI correctly. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * docs(lint): list type-discipline budget in lint-budget-update instruction --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
…#31805) * feat(ui): disclaim that the Update API Key modal only rotates api_key An adversarial review of the credential-rotation work noted the modal always writes litellm_params.api_key, so models that authenticate with an Azure AD token, AWS credentials, or a Vertex service-account JSON are not rotated by it. Adds a warning Alert to the modal so users are not misled into thinking those secrets were rotated; broadening the modal to those providers is a follow-up * Update ui/litellm-dashboard/src/components/update_model_credentials_modal.tsx Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * style(ui): prettier-format the credential modal --------- Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
This reverts commit 72bcb74.
revert: "chore: remove _experimental/out" (#31546)
…gate (#31906) On macOS, tempfile.mkdtemp returns a path under /var/folders, a symlink to /private/var. The base pass in type_check_gate.py resolved each diagnostic path (yielding /private/var/...) but not the worktree root, so relative_to raised ValueError for every diagnostic, base counts came back empty, and the vacuous-run guard failed every local make lint-basedpyright run. type_discipline_gate.py already resolves root the same way; ruff_strict_gate.py counts rule codes without touching worktree paths, so it is unaffected. CI runs Linux where the temp dir is not a symlink, which is why this only bit local macOS runs
…th (#31916) Register bedrock_mantle/xai.grok-4.3 with /v1/responses in supported_endpoints so the data-driven gate routes it through BedrockMantleResponsesAPIConfig (which inherits SigV4 signing via BedrockMantleAuthMixin). Without this entry the model falls through to None and forces bearer-token-only auth. Pricing sourced from AWS Bedrock pricing page. Closes #31196 Co-authored-by: unknown <> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
…nt's team_id (VERIA-441) (#31767) * fix(proxy): authorize /health/test_connection against loaded deployment's team_id (VERIA-441) POST /health/test_connection looked up a deployment by request-supplied model_info.id, dumped its litellm_params (including api_key) into the outbound probe, merged request params over it, and then authorized the call against the caller-supplied model_info.team_id. A team admin could pass another team's deployment id together with their own team_id and an attacker-controlled api_base, sending the victim team's provider key to that URL. Capture the loaded deployment's model_info alongside its litellm_params in both the id-lookup and the model_name fallback paths, and pass that captured value to can_user_make_model_call. When no deployment is loaded (caller is probing fresh, request-supplied credentials), keep using the request body's model_info; no foreign deployment is in scope and the existing role check still requires admin or team-admin. Add two regression tests that wrap (not mock) ModelManagementAuthChecks.can_user_make_model_call, one per resolution path, asserting HTTP 403 and that the auth check was reached with the loaded deployment's team_id. Both fail on the pre-fix code. * test(health): add positive-path regression through real auth (VERIA-441) The two deny tests already exercise the real (wrapped) ModelManagementAuthChecks. Add a matching positive-path test so a mutation that swaps the auth team_id for a deny-all value on the legit path also fails: loaded deployment owned by team-X, caller admin of team-X -> asserts HTTP 200 and that the auth check ran with the LOADED deployment's team_id. * refactor(test): rename health endpoint tests for clarity (VERIA-441) Rename test functions and variables from attacker/victim/owner framing to neutral team-a/team-b terminology. Update docstrings to remove exploit-specific language. Tests remain functionally identical, covering deny paths (cross-team deployments) and the positive path (same-team deployments).
…te (LIT-4092) (#31810) The `_check_permissions_caller_permission` helper introduced in #31469 was only wired into `_common_key_generation_helper`. This change wires it into `_validate_update_key_data` and `regenerate_key_fn` so the three write paths share the admin gate, and refactors the helper to accept the full request model so it can key on `"permissions" in data.model_fields_set` rather than truthiness. The presence check keeps the model-level omit default flowing through unchanged while treating any explicit value (including `{}` / `null`) as an admin-only write. In `regenerate_key_fn` the gate is placed before the `premium_user` license check so the rejection is consistent across premium and non-premium deployments. That ordering is pinned by `test_regenerate_key_non_admin_permissions_rejected_before_enterprise_gate` Tests in tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py: - test_update_key_non_admin_permissions_non_empty_rejected - test_update_key_non_admin_permissions_explicit_empty_rejected - test_update_key_non_admin_permissions_explicit_null_rejected - test_update_key_non_admin_omits_permissions_succeeds (control) - test_update_key_admin_can_set_permissions (control) - test_regenerate_key_non_admin_permissions_rejected - test_regenerate_key_non_admin_permissions_explicit_empty_rejected - test_permissions_explicit_empty_rejected_for_non_admin_on_generate - test_regenerate_key_non_admin_permissions_rejected_before_enterprise_gate Mutation-killed against gate removal on either wire, against reverting the helper to a truthiness check, and against reordering the gate past the enterprise-license check
…endpoint (#31802) * feat(github_copilot): route /v1/messages to Copilot native Anthropic endpoint Add a GitHub Copilot Anthropic Messages transformation that routes supported Claude models through the native /v1/messages endpoint. This covers request URL construction, default headers, and supported model metadata. * fix(github_copilot): address PR review feedback Tighten the Anthropic Messages environment validation and web search interception behavior after review feedback. Avoid treating non-web-search requests as web-search-only paths. * style(github_copilot): apply black formatting Apply Black formatting to the GitHub Copilot Anthropic Messages tests. * test(github_copilot): cover ProviderConfigManager dispatch for Anthropic Messages Add coverage for ProviderConfigManager dispatch when GitHub Copilot models use the Anthropic Messages API, including non-Anthropic models returning no config. * fix(github_copilot): apply messages-proxy intent header to /v1/messages Set the messages-proxy interaction header for GitHub Copilot Anthropic Messages requests so /v1/messages uses the expected Copilot intent. * fix(github_copilot): use modern generic annotations Replace legacy typing generics in the GitHub Copilot Anthropic Messages transformation so the strict Ruff budget gate stays within its ceiling. * refactor(github_copilot): decouple web-search short-circuit and harden /v1/messages URL Address review feedback on the Copilot native Anthropic messages path. Replace the hardcoded LlmProviders.GITHUB_COPILOT check in the web-search interception handler with a handles_web_search_natively() method on BaseAnthropicMessagesConfig (default True), overridden to False in GithubCopilotAnthropicMessagesConfig. Provider-specific behavior now lives in llms/ and the handler stays provider-agnostic, so a future provider in the same situation needs no carve-out here. In get_complete_url, reuse the already-resolved api_base returned by validate_anthropic_messages_environment instead of reading the authenticator a second time, removing redundant I/O and the mid-request inconsistency window. The caller-supplied base is still discarded in validate, which is the security boundary. Normalize a trailing slash on the base in both methods so a tenant-specific host never yields a double-slash //v1/messages URL. * fix(github_copilot): forward anthropic-beta headers on /v1/messages The Copilot config inherited should_filter_anthropic_beta_headers()==True from BaseAnthropicMessagesConfig, so update_headers_with_filtered_beta stripped every anthropic-beta value after validate_anthropic_messages_environment injected them (github_copilot has no mapping in anthropic_beta_headers_config.json). That silently disabled header-gated features like context_management and structured outputs on the native passthrough. Override the hook to False, matching OpenAILikeAnthropicMessagesConfig. * test(github_copilot): remove dead branch in beta-header regression test The anthropic-beta filtering test guarded the fix with an if branch on should_filter_anthropic_beta_headers(), which is always False, so the branch was unreachable. Replace it with a direct assertion that running the provider-scoped filter for github_copilot strips every beta value, proving why the override is load-bearing and catching a regression that flips it back on. --------- Co-authored-by: ririnto <ririnto@kakao.com> Co-authored-by: Cursor Agent <cursoragent@cursor.com>
…31985) * fix(bedrock): map guardrailConfig to InvokeModel guardrail headers The InvokeModel API takes the guardrail identifier, version and trace as X-Amzn-Bedrock-* request headers, unlike Converse which takes them in the request body. The invoke transformer never set these headers, so guardrailConfig was silently dropped (or leaked into the request body) and Bedrock guardrails never ran on invoke-route models. Pop guardrailConfig in AmazonInvokeConfig.validate_environment, validate it, and set the headers before SigV4 signing; explicitly passed headers keep winning over guardrailConfig so existing workarounds are unaffected * fix(bedrock): reject guardrailConfig missing guardrailIdentifier A guardrailConfig without guardrailIdentifier (e.g. an empty dict) would validate, produce no guardrail headers, and let the request proceed with guardrails silently not applied; that silent skip is the exact failure mode this fix exists to remove, so fail fast with a 400 instead
… cascade fix (#31995) * feat(ui): shadcn migration foundation: Tailwind v4, shadcn init, antd cascade fix Upgrade the dashboard from Tailwind v3 to v4 with CSS-first config: the official upgrade codemod renamed utilities across 151 files, and tailwind.config.js (plus the dead tailwind.config.ts) is replaced by @theme tokens, @source globs, and @plugin directives in globals.css. The Tremor safelist becomes @source inline patterns and the legacy tremor theme tokens carry over verbatim. ui_colors.json was build-time only and fed the dying Tremor palette, so its brand values are inlined and the file removed; runtime theming replaces that path next. shadcn is initialized with a hand-authored components.json (rsc, cssVariables, baseColor gray) pointing utils at the existing lib/cva.config.ts, which now exports cn (cva beta cx + twMerge) instead of adding class-variance-authority as a second variant library. The two ad-hoc cn helpers fold into it. Button lands as the canary primitive, adapted to cva beta and React 18 forwardRef, with tests covering the variant, twMerge, asChild, and ref seams. --radius is 0.5rem so the shadcn radius scale reproduces Tailwind defaults and legacy rounded-* classes render unchanged. antd v5 emits unlayered CSS-in-JS that would beat every layered v4 utility, so AntdGlobalProvider now wraps the app in StyleProvider layer and ConfigProvider cssVar, and globals.css declares @layer theme, base, antd, components, utilities. antd wins over preflight but yields to utilities, which is what lets migrated shadcn pages coexist with legacy antd pages. Preflight stays global with the three v3 behaviors pinned (default border color, button cursor, placeholder color). * fix(ui): restore tremor opacity tints removed by tailwind v4 Tailwind v4 removed the *-opacity-* utilities, but the precompiled @tremor/react dist still composes them with shade-500 palette classes (bg-opacity-10 over bg-<color>-500 etc.), so Badge, BadgeDelta, Callout, light Icon and Button, BarList, and ProgressBar lost their tints and rendered solid 500-shade fills. Adversarial review caught it; the original smoke pages only exercised antd Tags. tremor-v3-compat.css restores exactly the pairs tremor emits: for each of the 22 safelisted colors, bg-opacity-{10,20,40}, hover/group-hover bg-opacity-{20,30}, and ring-opacity-{20,40} against the -500 shade, via color-mix into the utilities layer. Tremor's colorPalette maps both background and iconRing to 500, so the -500 pairing covers every composition in the dist; dark: variants are inert until dark mode ships. The shim dies with @tremor/react at the end of the migration. The upgrade codemod also missed two hand-rolled modal scrims using bg-black bg-opacity-{30,50} (solid black under v4); now bg-black/30 and bg-black/50. Removed the docker/build_admin_ui.sh copy of enterprise_colors.json into the deleted ui_colors.json; that build-time rebrand path is retired and its runtime replacement lands with the theming phase. * fix(ui): pair ring-opacity-40 with shade 300 in tremor compat shim Tremor's colorPalette maps ring to shade 300, and the only consumer of ring-opacity-40 (Icon variant outlined) composes it with that shade, so the shade-500 rows were dead and outlined icon rings would render at full opacity. Latent today (no dashboard usage of the outlined variant); caught by adversarial review. ring-opacity-20 stays at 500 (iconRing), matching Badge and BadgeDelta.
…1914) * chore(e2e): untrack gateway config and document e2e test location Stop tracking tests/e2e/gateway/litellm-config.yml so the local proxy config stays on the machine Add a note to CLAUDE.md that new e2e tests belong in tests/e2e/ and must follow that directory's conventions * chore(e2e): add self-contained docker compose stack for local runs Ship a docker-compose.yml that starts the proxy with a throwaway Postgres and Redis and inlines the proxy config with example models, so contributors can bring up a local gateway with nothing but a .env. Update CONTRIBUTING.md to match the inline-config flow * chore(e2e): drop the second gemini deployment; one key is enough locally * docs(e2e): make pre-commit steps ordered and require flagging internally found issues
…kip redundant prisma generate (#32000) * perf(lint): skip and cache base gate passes, parallelize make lint, skip redundant prisma generate make pre-commit paid for a full second basedpyright pass over a merge-base worktree on every run even when no rule was over its ceiling, re-generated an unchanged Prisma client, and ran seven independent checks sequentially. The basedpyright and ruff strict gates now skip the base pass when head is within every limit (the same early-out type_discipline_gate already had), the basedpyright base counts are cached under the git common dir keyed by merge-base commit, pyrightconfig.json, and uv.lock, prisma generate only runs when the schema or prisma version changed, and make lint fans its checks out through a parallel sub-make after a single setup phase * fix(lint): keep the base-cache scratch file out of the prune glob The tmp+rename scratch in store_counts was named basedpyright-base-<hash>.json.tmp, which the stale-entry prune glob (basedpyright-base-*) also matches, so a concurrent lint run from another worktree sharing the same git common dir could unlink it between write_text and replace and crash the gate with FileNotFoundError. The scratch is now dot-prefixed so the glob can never see it, pid-suffixed so concurrent writers of the same entry never share a scratch, and the prune glob is restricted to committed *.json entries
… path (#31979) * fix(a2a): record agent cost_per_query and input tokens on native send path * test(a2a): add __init__.py to avoid test_utils.py module collision
* fix(prometheus): bound per-request budget metric emission with a timeout (#31632) * fix(prometheus): bound per-request budget metric emission with a timeout Wrap the per-request budget-metric gather in asyncio.wait_for so a slow Redis or DB lookup cannot consume the whole LoggingWorker watchdog and get the success-logging event cancelled. On timeout the emission is skipped in isolation; budget gauges are still refreshed by the periodic cron. The timeout is configurable via PROMETHEUS_BUDGET_METRICS_PER_REQUEST_TIMEOUT and defaults to 5.0 seconds, falling back to the default on an invalid value instead of raising * fix(prometheus): reject non-finite and non-positive budget-metrics timeout env float() accepts 0, negatives, nan and inf, which bypass the fallback: a value <= 0 makes asyncio.wait_for time out immediately and skip every per-request emission, and inf reintroduces the unbounded wait the timeout was meant to bound. Validate the parsed value is finite and greater than zero before using it, otherwise fall back to the default * fix: report the blocked LLM response's real token usage (#31217) When a guardrail blocks a post-call response, the synthetic violation response reported hard-coded zero usage, discarding the token usage the upstream call had already consumed. Fix the root cause rather than re-counting tokens: - Add an optional `original_response` field to ModifyResponseException. - The unified guardrail's post-call success hook attaches the blocked LLM response to the exception. - The /v1/messages and OpenAI-format (/v1/chat/completions, /v1/completions) block handlers report `original_response.usage` directly. Pre-call blocks never invoked the LLM, so usage is zero. Mock-based tests cover the helper (returns original usage / zero), the success hook attaching original_response, and the endpoint reporting it end-to-end. Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(guardrails): buffer + cleanly terminate streamed responses on block (#31389) Streaming moderation improvements for the unified guardrail post-call streaming iterator hook: - streaming_buffer_until_moderated: withhold all chunks until end-of-stream moderation passes, then release the original response (clean) or only the block message (blocked) -- the original content is never delivered on a block. Snapshot chunks with a shallow list() copy (end-of-stream builds a separate assembled response; chunks aren't mutated in place). - Clean Anthropic SSE on block: synthesize a well-formed termination sequence instead of a bare data: {"error": ...} blob that truncates the stream. Provider-specific synthesis lives in AnthropicMessagesHandler via build_block_sse_chunks (format-agnostic routing stays in the hook). - Mid-stream blocks continue the in-progress message (close open content block, append block message, terminate) rather than emitting a second message_start, which clients reject. Standalone envelope only when no chunks were sent (buffered path). - ModifyResponseException imported under TYPE_CHECKING + locally at runtime to avoid a module-level cyclic import. Adds regression tests for buffering (content withheld on block) and mid-stream continuation (single message_start). Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix: report real usage on streaming blocks, disable buffered mode for content-rewriting guardrails - _standalone_block_chunks and _block_continuation_chunks now read real token usage from ModifyResponseException.original_response instead of hardcoding zero, matching the non-streaming _blocked_response_usage path. Shared helper moved to guardrail_translation/utils.py. - streaming_buffer_until_moderated is now forced off when the guardrail has mask_response_content=True, since buffered replay releases the withheld original chunks verbatim -- unsafe for a guardrail that rewrites content (e.g. PII masking). - Fix inverted streaming-flag precedence comment. * style: ruff format after greploop fixes * fix: handle Anthropic streaming guardrail blocks * fix(responses): check terminal event type for streaming guardrail end-of-stream detection _check_streaming_has_ended assumed responses_so_far held ModelResponse objects with .choices, but for the Responses API the accumulated chunks are raw SSE event dicts, causing an AttributeError on every call * fix: preserve Anthropic blocked stream usage --------- Co-authored-by: FERNANDO IZAR <fizar@me.com> Co-authored-by: Joseph Barker <156112794+seph-barker@users.noreply.github.com> Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: Cursor Agent <cursoragent@cursor.com>
* fix(a2a): populate response usage in a2a chat transformation * test(a2a): rename to avoid module basename collision with fastcrw's test_transformation.py
…32022) _enforce_key_and_fallback_model_access and can_key_call_resolved_model both unconditionally skipped key-level model checks whenever all-team-models was present, without verifying the key actually belongs to a team. PR #29746 fixed the listing path (get_key_models) but these two call-path checks were left untouched, letting teamless keys call any model via /chat/completions while seeing an empty model list. Add team_id is not None guard to both bypass conditions so teamless keys fall through to can_key_call_model, which already correctly rejects unresolvable all-team-models sentinels Co-authored-by: mateo <mateo@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
…IT-4138) (#31998) `NewUserRequest` and `UpdateUserRequest` inherit `permissions` from `GenerateRequestBase`. `/user/new` passes the field into `generate_key_helper_fn` which persists it on the auto-created key, so an org admin who lands on `/user/new` (the route allowlist accepts org_admin callers when the request body names an org where they hold that membership) can mint a key with proxy-wide capabilities such as `get_spend_routes`. This wires the existing `_check_permissions_caller_permission` helper into `new_user` and `_update_single_user_helper`. The helper's presence check keys on `data.model_fields_set`, so an omitted field flows through untouched and an explicit `{}` / `null` from a non-admin is rejected 403 the same as any other value. `_update_single_user_helper` is shared by `/user/update` and `/user/bulk_update`, so both paths inherit the gate. Tests in `tests/test_litellm/proxy/management_endpoints/test_internal_user_endpoints.py`: - test_new_user_non_admin_permissions_non_empty_rejected - test_new_user_non_admin_permissions_explicit_empty_rejected - test_new_user_non_admin_omits_permissions_succeeds (control) - test_new_user_admin_can_set_permissions (control) - test_update_single_user_non_admin_permissions_rejected - test_update_single_user_non_admin_permissions_explicit_empty_rejected The four attack-vector tests fail on the pre-fix HEAD and pass on this commit. Full mapped test file (79 tests) green.
…key/regenerate (LIT-4139) (#31987) `_check_allowed_routes_caller_permission` previously keyed its admin-only rule on truthiness. The refactor adds an `allowed_routes_was_provided` keyword param that raw-body call sites populate from `"allowed_routes" in data.model_fields_set`, so a caller that omits the field (default flows through) is distinct from one that sends any explicit value. Four raw-body call sites now pass `allowed_routes_was_provided=...`: `_common_key_generation_helper`, `generate_service_account_key_fn`, `_validate_update_key_data`, and `regenerate_key_fn`. Two derived-value call sites keep the pre-fix shape: the post-`handle_key_type` recheck at `_common_key_generation_helper` and the mirror in `regenerate_key_fn`. Both pass values produced by `handle_key_type` (not by the request body), so `allowed_routes_was_provided` stays False and the `allow_safe_presets=True` carve-out continues to accept the `llm_api_routes` / `info_routes` presets. In `regenerate_key_fn` the gate runs before the `premium_user` license check, matching the LIT-4092 ordering. `test_non_admin_regenerate_key_allowed_routes_rejected_before_enterprise_gate` pins the ordering; it fails on a swap of the two gates. Tests in `tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py` under `TestAllowedRoutesCallerPermission`: - test_non_admin_generate_key_explicit_empty_allowed_routes_rejected - test_non_admin_update_key_explicit_empty_allowed_routes_rejected - test_non_admin_update_key_explicit_null_allowed_routes_rejected - test_non_admin_regenerate_key_explicit_empty_allowed_routes_rejected - test_non_admin_regenerate_key_allowed_routes_rejected_before_enterprise_gate - test_helper_accepts_derived_safe_preset_for_non_admin - test_helper_rejects_derived_unsafe_preset_for_non_admin - test_helper_rejects_when_provided_and_none_without_typeerror The four attack-vector tests fail on the pre-fix HEAD and pass on this commit. Three helper-level tests pin the derived-value branch and the load-bearing None guard; each is mutation-killed against a targeted change to the frozenset or the guard. Full mapped test file (347 tests) green.
…IT-4137) (#32002) The bulk-update entrypoints `/key/bulk_update` and `/team/key/bulk_update` route through `_process_single_key_update`, not through `_validate_update_key_data`, so the `permissions` gate LIT-4092 wired into the single-key path never fires on bulk. Currently safe by construction: `BulkUpdateKeyRequestItem` doesn't declare `permissions` (Pydantic silently drops it), and `KeyUpdateFields` uses `model_config = ConfigDict(extra="forbid")` (Pydantic 422s at parse time). Neither structural barrier is enforced by tests on the field itself; a future widening of either allowlist to include `permissions` would reopen the class silently. This wires `_check_permissions_caller_permission` into `_process_single_key_update` right after `_validate_max_budget`, before `prepare_key_update_data`. Zero behavior change today for any caller routing through the current bulk request models; a defense-in-depth gate for the class. Tests: - test_process_single_key_update_non_admin_permissions_rejected - test_process_single_key_update_non_admin_permissions_explicit_empty_rejected Both mutation-killed against removing the gate. Full mapped test file (341 tests) green.
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t,r,o=((t={}).AUDIO_SPEECH="audio_speech",t.AUDIO_TRANSCRIPTION="audio_transcription",t.IMAGE_GENERATION="image_generation",t.VIDEO_GENERATION="video_generation",t.CHAT="chat",t.RESPONSES="responses",t.IMAGE_EDITS="image_edits",t.ANTHROPIC_MESSAGES="anthropic_messages",t.EMBEDDING="embedding",t),a=((r={}).IMAGE="image",r.VIDEO="video",r.CHAT="chat",r.RESPONSES="responses",r.IMAGE_EDITS="image_edits",r.ANTHROPIC_MESSAGES="anthropic_messages",r.EMBEDDINGS="embeddings",r.SPEECH="speech",r.TRANSCRIPTION="transcription",r.A2A_AGENTS="a2a_agents",r.MCP="mcp",r.REALTIME="realtime",r.INTERACTIONS="interactions",r);let i={image_generation:"image",video_generation:"video",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages",audio_speech:"speech",audio_transcription:"transcription",embedding:"embeddings"};e.s(["EndpointType",()=>a,"getEndpointType",0,e=>{if(console.log("getEndpointType:",e),Object.values(o).includes(e)){let t=i[e];return console.log("endpointType:",t),t}return"chat"}],865361),e.s(["generateCodeSnippet",0,e=>{let t,{apiKeySource:r,accessToken:o,apiKey:i,inputMessage:n,chatHistory:s,selectedTags:l,selectedVectorStores:c,selectedGuardrails:d,selectedPolicies:u,selectedMCPServers:p,mcpServers:m,mcpServerToolRestrictions:h,selectedVoice:g,endpointType:f,selectedModel:b,selectedSdk:v,proxySettings:x}=e,_="session"===r?o:i,k=window.location.origin,y=x?.LITELLM_UI_API_DOC_BASE_URL;y&&y.trim()?k=y:x?.PROXY_BASE_URL&&(k=x.PROXY_BASE_URL);let w=n||"Your prompt here",S=w.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),C=s.filter(e=>!e.isImage).map(({role:e,content:t})=>({role:e,content:t})),j={};l.length>0&&(j.tags=l),c.length>0&&(j.vector_stores=c),d.length>0&&(j.guardrails=d),u.length>0&&(j.policies=u);let z=b||"your-model-name",N="azure"===v?`import openai | |||
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| @@ -0,0 +1,420 @@ | |||
| (globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,326373,e=>{"use strict";var t=e.i(21539);e.s(["Dropdown",()=>t.default])},879664,e=>{"use strict";let t=(0,e.i(475254).default)("info",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"M12 16v-4",key:"1dtifu"}],["path",{d:"M12 8h.01",key:"e9boi3"}]]);e.s(["default",0,t])},602073,e=>{"use strict";e.i(247167);var t=e.i(931067),i=e.i(271645);let a={icon:{tag:"svg",attrs:{viewBox:"0 0 1024 1024",focusable:"false"},children:[{tag:"path",attrs:{d:"M512 64L128 192v384c0 212.1 171.9 384 384 384s384-171.9 384-384V192L512 64zm312 512c0 172.3-139.7 312-312 312S200 748.3 200 576V246l312-110 312 110v330z"}},{tag:"path",attrs:{d:"M378.4 475.1a35.91 35.91 0 00-50.9 0 35.91 35.91 0 000 50.9l129.4 129.4 2.1 2.1a33.98 33.98 0 0048.1 0L730.6 434a33.98 33.98 0 000-48.1l-2.8-2.8a33.98 33.98 0 00-48.1 0L483 579.7 378.4 475.1z"}}]},name:"safety",theme:"outlined"};var o=e.i(9583),n=i.forwardRef(function(e,n){return i.createElement(o.default,(0,t.default)({},e,{ref:n,icon:a}))});e.s(["SafetyOutlined",0,n],602073)},818581,(e,t,i)=>{"use strict";Object.defineProperty(i,"__esModule",{value:!0}),Object.defineProperty(i,"useMergedRef",{enumerable:!0,get:function(){return o}});let a=e.r(271645);function o(e,t){let i=(0,a.useRef)(null),o=(0,a.useRef)(null);return(0,a.useCallback)(a=>{if(null===a){let e=i.current;e&&(i.current=null,e());let t=o.current;t&&(o.current=null,t())}else e&&(i.current=n(e,a)),t&&(o.current=n(t,a))},[e,t])}function n(e,t){if("function"!=typeof e)return e.current=t,()=>{e.current=null};{let i=e(t);return"function"==typeof i?i:()=>e(null)}}("function"==typeof i.default||"object"==typeof i.default&&null!==i.default)&&void 0===i.default.__esModule&&(Object.defineProperty(i.default,"__esModule",{value:!0}),Object.assign(i.default,i),t.exports=i.default)},339019,865361,e=>{"use strict";var t,i,a=((t={}).AUDIO_SPEECH="audio_speech",t.AUDIO_TRANSCRIPTION="audio_transcription",t.IMAGE_GENERATION="image_generation",t.VIDEO_GENERATION="video_generation",t.CHAT="chat",t.RESPONSES="responses",t.IMAGE_EDITS="image_edits",t.ANTHROPIC_MESSAGES="anthropic_messages",t.EMBEDDING="embedding",t),o=((i={}).IMAGE="image",i.VIDEO="video",i.CHAT="chat",i.RESPONSES="responses",i.IMAGE_EDITS="image_edits",i.ANTHROPIC_MESSAGES="anthropic_messages",i.EMBEDDINGS="embeddings",i.SPEECH="speech",i.TRANSCRIPTION="transcription",i.A2A_AGENTS="a2a_agents",i.MCP="mcp",i.REALTIME="realtime",i.INTERACTIONS="interactions",i);let n={image_generation:"image",video_generation:"video",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages",audio_speech:"speech",audio_transcription:"transcription",embedding:"embeddings"};e.s(["EndpointType",()=>o,"getEndpointType",0,e=>{if(console.log("getEndpointType:",e),Object.values(a).includes(e)){let t=n[e];return console.log("endpointType:",t),t}return"chat"}],865361),e.s(["generateCodeSnippet",0,e=>{let t,{apiKeySource:i,accessToken:a,apiKey:n,inputMessage:r,chatHistory:s,selectedTags:l,selectedVectorStores:d,selectedGuardrails:c,selectedPolicies:p,selectedMCPServers:u,mcpServers:m,mcpServerToolRestrictions:g,selectedVoice:f,endpointType:h,selectedModel:_,selectedSdk:x,proxySettings:y}=e,b="session"===i?a:n,v=window.location.origin,w=y?.LITELLM_UI_API_DOC_BASE_URL;w&&w.trim()?v=w:y?.PROXY_BASE_URL&&(v=y.PROXY_BASE_URL);let S=r||"Your prompt here",j=S.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),k=s.filter(e=>!e.isImage).map(({role:e,content:t})=>({role:e,content:t})),I={};l.length>0&&(I.tags=l),d.length>0&&(I.vector_stores=d),c.length>0&&(I.guardrails=c),p.length>0&&(I.policies=p);let C=_||"your-model-name",E="azure"===x?`import openai | |||
Codecov Report❌ Patch coverage is 📢 Thoughts on this report? Let us know! |
…elligence /v1/ocr (#32018) * fix(azure_ai): preserve content, tables, and keyValuePairs in doc-intelligence /v1/ocr Azure Document Intelligence analyzeResult.content, .tables, and .keyValuePairs were dropped when normalizing to the Mistral OCR schema. They are now passed through verbatim as top-level response fields, and the duplicated sync/async response parsing is consolidated into one pydantic-validated helper. Also adds the Azure DI features query param (list[str] or comma-separated string, e.g. features=keyValuePairs) which Azure requires for keyValuePairs extraction. * test(azure_ai): replace fastapi jsonable_encoder with model_dump in ocr unit tests
…5 -> 0.1.46 (#32029) Both directories diverged from main; bump PATCH and relock.
tin-berri
approved these changes
Jul 3, 2026
yuneng-berri
enabled auto-merge
July 3, 2026 06:14
…1997) * feat(tinyfish): make search provider permissive, attribute errors Reshapes the TinyFish search provider so LiteLLM mirrors the TinyFish Search API surface instead of maintaining a parallel cherry-pick. Request side: - Drop misleading request TypedDict - Stop sending max_results on wire (TinyFish ignores it); clamp to [1,10] client-side via self-threaded state - Guard non-numeric max_results from bare ValueError - Auto-JSON-encode dict params; lowercase bool serialization for ux-labs Response side: - Drop both Pydantic response models; parse directly into SearchResponse so per-result extras flow through via extra="allow" - Default missing title/url/snippet to "" instead of failing the call - Read top-level parameter_warnings and re-fire as verbose_logger.warning (pre-wired for upcoming TinyFish-side rollout; no-op today) Error handling: - Attributed _wrap_error helper at 3 call sites in transform_search_response ("TinyFish Search: <msg>. See https://docs.tinyfish.ai/search-api for details.") - Dispatch non-2xx responses through _wrap_error (fixes pre-existing bug where 4xx/5xx silently returned empty SearchResponse) - Wrap json.JSONDecodeError on 200 bodies - Wrap pydantic.ValidationError for envelope-shape mismatches Bug fix worth flagging: 4xx/5xx responses now raise an attributed BaseLLMException instead of silently returning SearchResponse(results=[]). Follow-up to #30634. * fix(tinyfish): apply ruff format; guard OverflowError in max_results clamp - Run ruff format on the touched files (CI lint job rejected the prior commit's formatting). - Add OverflowError to the except clause in the max_results clamp so callers passing math.inf (or other non-finite floats) get the same warn-and-ignore behavior as other malformed values. Greptile spotted this in the first-pass review. - Add test_max_results_infinity_float_warns_and_skips covering the inf case. * fix(tinyfish): apply --line-length 88 ruff format to match CI CI uses 'ruff format --check --line-length 88'; my prior format pass used the default line length, leaving several lines unwrapped. No behavior change — purely whitespace. * fix(tinyfish): reduce transform_search_response complexity; sort imports CI's ruff strict-rule budget rejected the prior commit with: - C901: transform_search_response complexity 16 > 10 (cap exceeded by 1) - I001: import sort violation (cap exceeded by 1) Extract two module-level helpers from transform_search_response to drop its cyclomatic complexity: - _default_missing_result_fields: in-place title/url/snippet defaulting - _emit_parameter_warnings: defensive parameter_warnings reader Auto-fix the import sort via ruff --fix. No behavior change; the 59 existing tests still pass. * test(tinyfish): cover defensive branches in _default_missing_result_fields Codecov flagged 97.61% patch coverage (2 lines missing). The uncovered lines were the non-dict raw_json and non-dict per-result item early-exits in _default_missing_result_fields. Add two unit tests on the helper directly to bring patch coverage to 100%. * chore(tinyfish): apply ruff format to fix lint after staging merge --------- Co-authored-by: Chenlu Ji <jichenlulu@gmail.com>
…31739) PR #31635 added a per-server token_endpoint_auth_method (client_secret_basic or client_secret_post) for upstream OAuth token endpoints, but it could only be set by editing the stored credentials JSON. This surfaces it in the dashboard as an optional selector directly under the Token URL field, in both the create form (OAuthFormFields, M2M and interactive flows) and the edit form. The field binds to credentials.token_endpoint_auth_method, which the backend already reads; the value is sent only when chosen, so leaving it blank keeps the existing setting and preserves the client_secret_post default.
…rks (#31912) * fix(mcp): persist DCR client_id so interactive OAuth token refresh works Interactive authorization_code MCP servers register an OAuth client via Dynamic Client Registration (RFC 7591) during the authorize flow, but the minted client_id and the discovered token_url were returned to the caller and never written to the server row. The autonomous refresh_token grant reads client_id, client_secret and token_url off the server, so an expired access token could not be refreshed; the user was bounced back to re-authorize and tools/list returned zero tools Persist the DCR client_id (plus client_secret and token_endpoint_auth_method when the registration returns them) and the discovered token_url onto the server row, reusing the encrypt_credentials write that client_credentials and token exchange already use, then refresh the in-memory registry so the value is live at refresh time. Both the v1 refresher and the v2 AuthorizationCodeRefresher read those same fields, so egress needs no change * fix: reuse persisted MCP DCR clients * fix: reuse persisted MCP DCR clients --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com>
…TREAM_NAME (#32010) When AzureSentinelLogger is resolved from the string callback name "azure_sentinel", it is constructed with no arguments, so audit_stream_name is always None and resolved_audit_stream_name fell back to the standard resolved_stream_name. Audit logs then ingested into the access-log DCR stream whose schema is built from StandardLoggingPayload, so Azure Monitor Logs Ingestion silently dropped the audit-specific columns and audit rows arrived effectively empty. Add an AZURE_SENTINEL_AUDIT_STREAM_NAME env var fallback in __init__, mirroring the AZURE_SENTINEL_STREAM_NAME idiom already used for the standard stream, so audit logs can target a separate DCR stream without a custom callbacks file.
…Fetch (#31920) * fix(mcp): persist DCR client_id so interactive OAuth token refresh works Interactive authorization_code MCP servers register an OAuth client via Dynamic Client Registration (RFC 7591) during the authorize flow, but the minted client_id and the discovered token_url were returned to the caller and never written to the server row. The autonomous refresh_token grant reads client_id, client_secret and token_url off the server, so an expired access token could not be refreshed; the user was bounced back to re-authorize and tools/list returned zero tools Persist the DCR client_id (plus client_secret and token_endpoint_auth_method when the registration returns them) and the discovered token_url onto the server row, reusing the encrypt_credentials write that client_credentials and token exchange already use, then refresh the in-memory registry so the value is live at refresh time. Both the v1 refresher and the v2 AuthorizationCodeRefresher read those same fields, so egress needs no change * fix: reuse persisted MCP DCR clients * fix(ui): persist DCR client_id from on-create MCP OAuth "Authorize & Fetch" The interactive "Authorize & Fetch" flow on the create form registers an OAuth client (RFC 7591) against a temporary server that has no DB row, then creates the real server afterward. useMcpOAuthFlow captured the DCR client_id and client_secret but passed only the token to onTokenReceived, so the create request dropped the client identity and the created server could not refresh its access token; its row had credentials={} and the refresh_token grant 401d at the upstream token endpoint Forward the registered client to onTokenReceived and write client_id (and client_secret when present) into the create form credentials, so the create request carries them and the backend persists them through its existing encrypt_credentials path. token_url is omitted because it is re-discovered on load (RFC 9728 then 8414); token_endpoint_auth_method is unused because this flow only ever registers as client_secret_post or none, never client_secret_basic * fix(ui): prevent stale MCP OAuth credentials * fix(ui): reset MCP OAuth authorization state --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com>
fix(e2e): define SpendTagsResponse/TagSpend so spend suite collects
…a per-model budget is exceeded (#31783)
shin-berri
approved these changes
Jul 3, 2026
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