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[Infra] Promote internal staging to main (#27245)
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* default requested_model to empty string on litellm-side rejects * Update litellm/router.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix: scope key access_group_ids override by team's assigned groups A team member could set any access_group_ids on their key (e.g. a group assigned only to a different team) and override the team's model restriction. Intersect the key's access_group_ids with team_object.access_group_ids in _key_access_group_grants_model so foreign groups are dropped before model expansion. Adds a regression test that asserts expansion is never called for foreign groups. * [Fix] Proxy: Skip Personal Budget Hook When Reservation Covers Counter The reservation path (PR #26845) atomically pre-fills `spend:user:{user_id}` and admits at the strict-`<` boundary. The legacy `_PROXY_MaxBudgetLimiter` pre-call hook re-reads the same counter with `>=`, so a reservation that fills the counter to exactly `max_budget` (e.g. a request without a `max_tokens` cap that falls back to reserving the smallest remaining headroom) is rejected by the hook even though the reservation already admitted it. Skip the hook when the request's active `budget_reservation` covers `spend:user:{user_id}`. The reservation is the source of truth for that counter cross-pod; the legacy `>=` path remains in place for requests without a reservation (e.g. paths that bypass the reservation entirely). Reproduces as `tests/otel_tests/test_prometheus.py::test_user_budget_metrics` on a fresh user with `max_budget=10` calling `fake-openai-endpoint` without `max_tokens`. Adds focused unit coverage in `tests/test_litellm/proxy/hooks/test_max_budget_limiter.py`. * harden bedrock file bucket validation * Fix syntax errors from botched merge in router.py * Fix Vertex batch output edge cases * [Fix] RBAC: Drop management_routes Write Fallback for Admin Viewer Greptile P1: the unsafe-method branch of `_check_proxy_admin_viewer_access` ended with a blanket `if route in management_routes: return`. That set is a mix of reads (info/list — handled via the safe-method GET branch above) and writes. The fallback let Admin Viewer POST to write endpoints not enumerated in `_ADMIN_VIEWER_BLOCKED_WRITE_ROUTES`, including: - /team/block, /team/unblock, /team/permissions_update - /jwt/key/mapping/{new,update,delete} - /key/bulk_update - /key/{key_id}/reset_spend Remove the fallback. The two remaining allow sets (admin_viewer_routes and global_spend_tracking_routes) are both read-only, so removal does not affect the legitimate POST-as-read cases (e.g. /spend/calculate, which is in spend_tracking_routes ⊂ admin_viewer_routes). Tests: - 8 new parametrized cases pinning each previously-leaking management write endpoint to 403 on POST for PROXY_ADMIN_VIEW_ONLY. * fix(tests): anchor VCR redis cassette key to repo root `os.path.relpath` with no `start` arg uses the current working directory, so running pytest from a subdirectory produced a different Redis key than running from the repo root. CI-recorded cassettes and locally-replayed runs would silently miss each other's cache. Anchor the path to the repo root (derived from `__file__`) so the key is stable regardless of CWD. https://claude.ai/code/session_018uCx7pcrkdUJZrCVMaTdPx * fix: gate key access_group override on group's own assignment Replaces the previous intersect-with-team.access_group_ids check, which made the override unreachable in practice (the team-gate fallback already covered every case the intersection allowed). The override now resolves each of the key's access_group_ids via get_access_object and accepts the group only if its assigned_team_ids includes the key's team_id, or its assigned_key_ids includes the key's token. This fulfills the original ask (a key can extend a team's allow-list via a group the admin granted to that team or that specific key) while still rejecting foreign groups referenced by team members of other teams. * [Fix] Proxy/Key Management: Honor team_member_permissions /key/list In /key/list Endpoint When a team grants /key/list via team_member_permissions, non-admin members should see all keys for that team — same as a team admin. Previously the classification in list_keys() only checked admin status, so permitted members fell into the service-account-only path and could not see other members' personal keys. Routes those members into the full-visibility set. * Fix access-group bypass via litellm-model fallback path When _get_all_deployments returns 0 candidates and the litellm-model fallback branch (_get_deployment_by_litellm_model) finds deployments that the access-group filter then empties, _access_group_filter_emptied_candidates remained False (it was captured before that branch ran). The router would then proceed to default fallbacks; the fallback model could have no access_groups and short-circuit the filter, silently serving a caller blocked by access-group restrictions. Update the flag inside the litellm-model branch when filtering empties a non-empty candidate set so the default-fallback guard still triggers. * fix(proxy): redact MCP server URL and headers for non-admin viewers (VERIA-8) Many MCP integrations (Zapier, etc.) embed an upstream API key directly in the server URL, e.g. ``https://actions.zapier.com/mcp/<api-key>/sse``. The list and single-server endpoints were returning the full URL to any authenticated user — `_redact_mcp_credentials` only stripped the explicit ``credentials`` field, and `_sanitize_mcp_server_for_virtual_key` only ran for restricted virtual keys. Non-admin internal users could read the dashboard, click the unmask toggle, and exfiltrate the raw token. Add `_sanitize_mcp_server_for_non_admin` that runs on top of the existing credential redaction and clears the credential-bearing fields: - ``url`` (the primary leak vector) - ``spec_path`` (OpenAPI spec URLs that may carry tokens) - ``static_headers`` / ``extra_headers`` (Authorization) - ``env`` (arbitrary secrets) - ``authorization_url`` / ``token_url`` / ``registration_url`` Identity fields (``server_id``, ``alias``, ``mcp_info``, etc.) are preserved so the UI can still list servers a non-admin's team has access to. Apply the new sanitizer in `fetch_all_mcp_servers` and the per-server fetch path right after the existing virtual-key branch. Update the existing `test_list_mcp_servers_non_admin_user_filtered` assertions that previously checked URL visibility. Frontend defense-in-depth: hide the URL unmask toggle on `mcp_server_view.tsx` unless the viewer is a proxy admin. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Fix runtime policy attachment initialization Mark runtime-created policies and attachments initialized so global policy attachments created from the policy builder apply immediately without requiring a restart. Co-authored-by: Cursor <cursoragent@cursor.com> * test(router): cover _try_early_resolve_deployments_for_model_not_in_names The router_code_coverage CI check requires every function in router.py to be referenced by at least one test under tests/{local_testing, router_unit_tests,test_litellm} in a file with "router" in its name. The recently-extracted helper had no direct test, so the check failed with "0.45% of functions in router.py are not tested". Add a focused test that exercises the four return paths: model already in self.model_names, no fallback applies, pattern-router match, and default_deployment substitution (also asserting the stored default isn't mutated). https://claude.ai/code/session_019AVp1XL7RT9RxRe4qRLkay * Fix policy registry teardown in tests Reset the policy ID index during policy engine test cleanup so stale policy versions cannot leak between tests. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(batches): count non-chat tokens, validate batch-file model access (VERIA-39) (#27015) * fix(batches): count non-chat tokens and validate every model in batch file Two security control bypasses on POST /v1/batches: 1. `_get_batch_job_input_file_usage` only summed tokens for `body.messages` (chat completions). Embedding (`input`) and text completion (`prompt`) batches reported zero, letting massive non-chat workloads slip past TPM rate limits. Extend the counter to handle string and list shapes for both fields. 2. The batch input file was forwarded to the upstream provider without inspecting the models named inside the JSONL — only the outer `model` query parameter was checked against the caller's allowlist. A caller restricted to gpt-3.5 could submit a batch targeting gpt-4o and the upstream would execute it under the proxy's shared API key. Add `_get_models_from_batch_input_file_content` (returns the distinct `body.model` values) and call it from `_enforce_batch_file_model_access` in the pre-call hook, which runs each model through `can_key_call_model` so the same allowlist semantics (wildcards, access groups, all-proxy-models, team aliases) the proxy enforces on `/chat/completions` apply here too. Any unauthorized model raises a 403 before the file is forwarded. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(batches): count pre-tokenized prompt/input shapes, classify 403 logs Two follow-ups from the Greptile review on the batch validation PR: 1. P1 TPM bypass via integer token arrays. The OpenAI batch schema accepts ``prompt`` and ``input`` as ``list[int]`` (a single pre-tokenized prompt) or ``list[list[int]]`` (multiple) in addition to the string and ``list[str]`` shapes. Pre-fix only the string shapes were counted, so a caller could submit a batch with hundreds of millions of pre-tokenized tokens and the rate limiter would record zero. Extract the per-field logic into ``_count_prompt_or_input_tokens`` and count each int as one token. 2. P2 access-denial logs were indistinguishable from I/O failures. ``count_input_file_usage`` caught every exception under a generic "Error counting input file usage" message, so an intentional 403 from ``_enforce_batch_file_model_access`` looked the same in the logs as a missing file or a Prisma timeout. Catch ``HTTPException`` separately and log 403s at WARNING level with a security-relevant message before re-raising. Tests cover the new shapes: single ``list[int]``, ``list[list[int]]`` (the worst-case bypass vector), and embeddings ``input`` with pre-tokenized arrays. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(proxy): re-validate user_id after /user/info re-parses query (#27009) * fix(proxy): re-validate user_id ownership after /user/info re-parses query The route-level access check in `RouteChecks.non_proxy_admin_allowed_routes_check` reads `request.query_params.get("user_id")`, which decodes literal `+` to spaces. The endpoint then re-parses the raw query string with `urllib.unquote` in `get_user_id_from_request` to preserve `+` characters (so plus-addressed emails work as user_ids). Those two paths produce different ids: a caller who registered a user_id containing a literal space could pass the route check and then read another user's row by sending the encoded `+` form. Add `_enforce_user_info_access` and call it after `_normalize_user_info_user_id` returns the final id. Proxy admin / view-only admin still bypass; everyone else must match the resolved user_id (or have no user_id, which falls back to the caller's own id later in the handler). Tests cover the admin bypass, owner-match path, and the cross-user lookup that this change blocks. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(proxy): apply user_info ownership check to PROXY_ADMIN_VIEW_ONLY `_enforce_user_info_access` was bypassing both PROXY_ADMIN and PROXY_ADMIN_VIEW_ONLY, but the upstream route check in `RouteChecks.non_proxy_admin_allowed_routes_check` only treats PROXY_ADMIN as a true admin for the `/user/info` route — view-only admins go through the `user_id == valid_token.user_id` enforcement along with regular users. Mirroring that asymmetry left the same encoded-`+` bypass open for view-only admins whose user_id contains a literal space. Drop the PROXY_ADMIN_VIEW_ONLY exemption so the post-decode re-check matches the upstream rule. Update tests: a view-only admin must now be blocked from cross-user lookups but still allowed to read their own row. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(spend-logs): opt-in suppression of stack traces in spend-tracking error logs Adds LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS env var. When set to true and the proxy log level is INFO or above, spend-tracking error paths emit a single ERROR line without the full traceback. Stack traces are preserved at DEBUG and the Sentry / proxy_logging_obj.failure_handler path is unchanged. The new spend_log_error helper is wired through the spend write hot path: - DBSpendUpdateWriter (update_database, _update_*_db, batch upsert, redis-commit fallbacks) - _ProxyDBLogger._PROXY_track_cost_callback - get_logging_payload exception path - update_spend / update_daily_tag_spend / spend logs queue monitor Resolves LIT-2704. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * fix(spend-logs): preserve no-traceback behavior for update_daily_tag_spend This call site previously logged a single-line error via verbose_proxy_logger.error() with no traceback. Switching it to spend_log_error(..., exc=e) caused a full stack trace to render by default (when LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS is unset), which contradicts the PR goal of leaving default behavior unchanged. Revert this specific site to the original error log call. * fix(spend-logs): preserve no-traceback behavior for update_daily_tag_spend Bugbot caught a regression: the previous error log here was a single-line verbose_proxy_logger.error(...) with no traceback. spend_log_error attaches the active exception's traceback by default (when the suppression env var is unset), so swapping it in changed default behavior. Revert this one site to its original .error() call to keep the PR strictly opt-in. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * feat(spend-logs): suppress traceback in SpendLogs error_information row Extend LITELLM_SUPPRESS_SPEND_LOG_TRACEBACKS to the failure callback so the per-row Metadata pane in the UI no longer shows the stack trace when the opt-in env var is set, matching the existing console-side suppression. https://claude.ai/code/session_014dztoRbRnRvq54HL9EyHx6 * [Fix] Proxy: Repair Merge Fallout In Router-Override Fallback Auth Conflict resolution for #26968 dropped the `Iterator` typing import (NameError at module load), left a dead `fallback_models = cast(...)` block, and the new tests called `_enforce_key_and_fallback_model_access` without the now-required `request` kwarg. * isolate dual OTEL handlers * harden cloud file compatibility path * harden cloud file compatibility path * [Fix] Proxy/Key Management: Align Key-Org Membership Checks On Generate And Regenerate Mirrors the membership rule on /key/update so that /key/generate and /key/{key}/regenerate apply the same `_validate_caller_can_assign_key_org` gate when the caller specifies an `organization_id`. Proxy admins bypass. The check no-ops when `organization_id` is not being set. * thread trusted params through vertex file content * trust only server legacy file flag * chore(proxy): keep public AI hub unauthenticated * fix(proxy): preserve low-detail readiness status * [Test] Anthropic: Replace Legacy Claude-4-Sonnet Alias With Haiku 4.5 Three live-API tests pinned to claude-4-sonnet-20250514, which is a non-canonical alias of claude-sonnet-4-20250514. Anthropic's main API no longer resolves the legacy form under freshly issued keys, so the tests fail with not_found_error. The token counter test pinned to claude-sonnet-4-20250514 itself (deprecation_date 2026-05-14, two weeks out) was on borrowed time too. Bump all four to claude-haiku-4-5-20251001 — capability superset for what these tests exercise (streaming, parallel tool calling, extended thinking, token counting), no upcoming deprecation, cheaper per-token. * chore(proxy): move URL-valued model/file_id guard from SDK to proxy The previous per-provider guards in HuggingFace, Oobabooga, and Gemini files lived in the SDK layer, breaking SDK callers who legitimately pass URL-valued model identifiers. Move the check to the proxy boundary in add_litellm_data_to_request so SDK users keep working while proxy users default-deny URL-valued model and file_id, with admin opt-in via litellm.provider_url_destination_allowed_hosts. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * [Chore] Proxy/UI: Drop stray _experimental/out/chat/index.html This file is a regenerable UI build artifact that should not be tracked in source. Removing so the merge into litellm_internal_staging stays clean. * [Test] Anthropic Passthrough: Bump Streaming Cost-Injection Test To Haiku 4.5 test_anthropic_messages_streaming_cost_injection hits the proxy's /v1/messages route, which routes via the anthropic/* wildcard to api.anthropic.com. The 404 surfaced in the test was Anthropic's own not_found_error propagated back through the proxy (visible from the x-litellm-model-id hash on the response — the proxy did route). Same root cause as the prior commit: the legacy claude-4-sonnet-20250514 alias is no longer recognized by Anthropic's main API under the new key. Swap to claude-haiku-4-5-20251001 — same routing path, canonical model. * fix(proxy): handle ownership-recording failures after upstream create If record_container_owner raises after the upstream container is created, the user previously got a 500 with no usable container — they were billed for an unreachable resource. Move ownership recording into the create path's exception handling and split the two failure modes: - HTTPException from the recorder (auth conflicts) propagates verbatim so the client sees the real status code, not a generic LLM error. - Unexpected exceptions are logged and swallowed; the response is returned to the caller so they aren't billed for a container they can't address. The DB row stays untracked until an operator reconciles. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(guardrails): close post-call coverage gaps * fix(types): add /team/permissions_bulk_update to management_routes The blocklist check in _check_proxy_admin_viewer_access only fires for routes that match LiteLLMRoutes.management_routes — the bulk-update endpoint was missing from that list, so the test for view-only admins on /team/permissions_bulk_update fell through to "allow." Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * [Test] Anthropic Passthrough: Bump Thinking Tests Off Legacy Sonnet 4 Alias base_anthropic_messages_test.test_anthropic_messages_with_thinking and test_anthropic_streaming_with_thinking still pinned to claude-4-sonnet-20250514 — the same legacy alias Anthropic no longer recognizes under freshly issued keys. The other four tests in this base class already use claude-sonnet-4-5-20250929; these two were missed. Bump to claude-haiku-4-5-20251001 (supports_reasoning=true, no upcoming deprecation). Subclasses including TestAnthropicPassthroughBasic inherit these methods. * fix(guardrails): cover multi-choice output variants * fix(proxy): preserve public ai hub ui setting * fix(scim): cascade FK cleanup on user delete and surface block status in UI SCIM DELETE /Users/{id} previously called litellm_usertable.delete without clearing rows that FK back to the user, so Postgres rejected the delete with LiteLLM_InvitationLink_user_id_fkey and the SCIM caller saw a 500. Add a helper to drop invitation_link, organization_membership, and team_membership rows before the user delete (mirrors /user/delete in internal_user_endpoints). Also add a Status column to the Virtual Keys and Internal Users tables so admins can see at a glance which keys are blocked and which users SCIM has deactivated. SCIM-blocked keys carry a tooltip explaining the origin. Pin the dashboard's Node version to 20 via .nvmrc to match CI. * chore: update Next.js build artifacts (2026-05-02 03:21 UTC, node v20.20.2) * perf(proxy): cache container/skill ownership reads on the hot path Container ownership and skill rows are looked up on every retrieve / delete / list / file-content / chat-completion-with-skill call. The new stores wrapped raw Prisma queries with no cache, putting one DB round-trip on each request. Add an in-process TTL'd cache mirroring the _byok_cred_cache pattern in mcp_server/server.py: per-key (value, monotonic_timestamp), 60s TTL, 10000-entry cap with full-clear on overflow, invalidated by every write. Negative results (`None`) are cached too so untracked-resource checks also skip the DB. Tests cover: cache-after-first-hit, negative caching, write invalidation, no-caching-on-DB-error, TTL expiry, capacity eviction. 56 tests pass. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: update Next.js build artifacts (2026-05-02 03:39 UTC, node v20.20.2) * fix: remove traceback key instead of it being "" * fix: linting error * fix(scim): preserve scim_active on PUT when client omits the field A SCIM PUT may legally omit `active` (full-replace with the field absent). Pydantic fills the SCIMUser.active default of True, so the PUT handler was overwriting metadata.scim_active with True even when the client never sent it — silently reactivating a previously SCIM-blocked user and unblocking their keys. Use model_fields_set to detect whether the client actually sent `active`. If omitted, preserve the prior scim_active value and skip the cascade to virtual keys. Also drop comments added in this PR that just narrate what the code does; keep only the docstrings and the SQL-NULL pitfall note that explain non-obvious behaviour. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * fix(proxy): use set lookup for permitted agent filters * fix(mcp): redact command fields for non-admin server views * fix(proxy): forward decoded container ids after ownership checks * fix(caching): handle stale isolated Redis semantic index * fix(cloudflare): support response_text in streaming chunk parser Newer Cloudflare Workers AI models (e.g. Nemotron) emit 'response_text' instead of 'response' on streamed chunks. The non-streaming path was already updated to fall back to 'response_text' (#26385), but the streaming chunk parser still only read 'response', which caused streaming requests against those models to silently produce empty content. Mirror the non-streaming fallback in CloudflareChatResponseIterator.chunk_parser and add a streaming test for the response_text shape. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * Fix code qa * Address bugbot: drop dead encode/decode helpers; preserve empty custom_id - Remove unused _encode_gcp_label_value / _decode_gcp_label_value singular helpers; only the _chunks variants are actually called. - Use 'is not None' check for custom_id so empty-string custom_ids are still labeled and round-trip through batch outputs. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * Forward Vertex file content logging context * test vertex file content logging forwarding Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> * Fix Vertex batch output logging mutation * fix: don't mutate caller's logging_obj in _try_transform_vertex_batch_output_to_openai The method was overwriting logging_obj.optional_params, logging_obj.model, and logging_obj.start_time on the caller's Logging instance. When invoked from llm_http_handler.py's generic framework path, the framework's own logging_obj (which already went through pre_call) had its properties clobbered, causing model and start_time to reflect the last batch line's values rather than the original call context. Fix: create a fresh local Logging instance for the per-line transformation instead of mutating the incoming logging_obj. The caller's object is now left entirely untouched regardless of whether a logging_obj was passed in or not. Regression tests added to verify model, start_time, and optional_params are not mutated on the caller's logging_obj. Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> * feat: add opt-out flag for Vertex batch output transformation Adds litellm.disable_vertex_batch_output_transformation (default False). When True, afile_content returns raw Vertex predictions.jsonl untouched so users that parse candidates/modelVersion directly are not broken. * fix(anthropic,bedrock): omit thinking/output_config when reasoning_effort="none" Setting reasoning_effort="none" on Anthropic chat models (direct, Bedrock Invoke, Bedrock Converse, Vertex AI Anthropic, Azure AI Anthropic) crashed LiteLLM with: litellm.APIConnectionError: 'NoneType' object has no attribute 'get' Both the Anthropic chat transformation and Bedrock Converse called ``AnthropicConfig._map_reasoning_effort`` and assigned the ``None`` it returns for ``"none"`` directly to ``optional_params["thinking"]``. Downstream ``is_thinking_enabled`` then did ``optional_params["thinking"].get("type")`` and crashed. Pop ``thinking`` (and on Claude 4.6/4.7, ``output_config``) instead of assigning ``None``, restoring the documented contract that ``reasoning_effort="none"`` means "do not enable thinking". This also prevents downstream Anthropic 400s ("thinking: Input should be an object", "output_config.effort: Input should be ...") if the bug were ever masked. Verified end-to-end against the live Anthropic API and Bedrock Converse on claude-opus-4-{5,6,7} and claude-sonnet-4-6, plus Bedrock Invoke for Claude 4.5/4.6. Vertex AI Anthropic and Azure AI Anthropic inherit the fixed ``map_openai_params`` from ``AnthropicConfig`` and need no further changes. * fix(vertex-ai): set response=null on batch error entries per OpenAI spec The Vertex batch output transformer was emitting both a populated 'response' and 'error' for failed batch entries. The OpenAI Batch output spec defines them as mutually exclusive: on error 'response' MUST be null. This broke any consumer using 'result["response"] is None' to detect failures. * test(vertex-ai): cover transformation_error path emits response=null * fix(security): sandbox jinja2 in gitlab/arize/bitbucket prompt managers DotpromptManager was hardened to render through ImmutableSandboxedEnvironment. The three sibling managers (gitlab, arize, bitbucket) were missed and still instantiate plain jinja2.Environment(), leaving the same attribute-traversal SSTI primitive open: a template fetched from a GitLab/BitBucket repo or Arize Phoenix workspace can reach __class__.__init__.__globals__ and execute arbitrary Python on the proxy host. Match the dotprompt pattern by switching all three to ImmutableSandboxedEnvironment. The sandbox blocks the dunder-traversal chain while leaving normal {{ var }} substitution intact, so the template surface is unchanged for legitimate use. Adds tests/test_litellm/integrations/test_prompt_manager_ssti.py (18 cases) verifying each manager's jinja_env is a sandbox, that classic SSTI payloads raise SecurityError, and that ordinary variable rendering still works. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore(proxy): drop client-supplied pricing fields from request bodies The proxy currently forwards request-body pricing parameters (the fields on `CustomPricingLiteLLMParams`, plus `metadata.model_info`) into the core call path. Those fields belong to deployment configuration, not to per-request input — sending them from a client mutates the request's recorded cost and, via `litellm.completion` → `register_model`, the process-wide `litellm.model_cost` map for every later caller in the worker. Strip them at the boundary. The strip set is built from `CustomPricingLiteLLMParams.model_fields` so pricing fields added later are covered automatically. Operators who do want clients to supply per-request pricing can opt back in per key or team via `metadata.allow_client_pricing_override = true`, mirroring the existing `allow_client_mock_response` and `allow_client_message_redaction_opt_out` flags. Tests cover the strip set's coverage, root and metadata strips, the opt-in skip on both key and team metadata, and a regression check that the global `litellm.model_cost` map is unmutated after a stripped request. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore(proxy): log stripped pricing fields at debug for operator visibility Operators upgrading would otherwise see client-supplied pricing overrides silently stop applying with no diagnostic. Emit a debug-level line listing the dropped fields and pointing at the opt-in flag when any are stripped; stay silent on the no-op path so the log isn't filled with noise. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(proxy): move pricing strip below the litellm_metadata JSON-string parse The strip ran before the proxy parses ``litellm_metadata`` from a JSON string into a dict (a path used by multipart/form-data and ``extra_body`` callers), so ``isinstance(metadata, dict)`` was False and ``model_info`` survived the strip. Move the call to the same post-parse position the ``user_api_key_*`` strip already uses for the same reason. Adds a regression test exercising the JSON-string ``litellm_metadata`` path. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(responses): replace legacy claude-4-sonnet alias in multiturn tool-call test Anthropic's main API no longer resolves the non-canonical 'claude-4-sonnet-20250514' alias for freshly issued keys, returning 404 not_found_error. PR #27031 already swept three other live tests pinned to this alias to claude-haiku-4-5-20251001 but missed test_multiturn_tool_calls in the responses API suite, which is now failing reliably on PR CI runs (e.g. PR #27074, job 1603363). Bump the two model references in test_multiturn_tool_calls to the same claude-haiku-4-5-20251001 snapshot used by PR #27031 -- it covers everything this test exercises (tool calling, multi-turn) and isn't on a deprecation schedule. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * chore(proxy): close callback-config and observability-credential side channels Two related gaps in the proxy's request bouncer: 1. ``is_request_body_safe`` (auth_utils.py) walked the request-body root and the ``litellm_embedding_config`` nested dict, but not ``metadata`` or ``litellm_metadata``. The same fields it bans at root — Langfuse / Langsmith / Arize / PostHog / Braintrust / Phoenix / W&B Weave / GCS / Humanloop / Lunary credentials and routing — were silently accepted when the caller put them inside metadata, retargeting observability callbacks to a caller-controlled host with caller-supplied creds. Walk both metadata containers (and parse the JSON-string form sent via multipart / ``extra_body``) through the same banned-params helper, so the existing ``allow_client_side_credentials`` opt-in covers both paths consistently. 2. The banned-params list was hand-maintained and lagged the canonical ``_supported_callback_params`` allow-list in ``initialize_dynamic_callback_params``. Derive the observability bans from that allow-list (minus a small ``_SAFE_CLIENT_CALLBACK_PARAMS`` set for informational fields like ``langfuse_prompt_version`` and ``langsmith_sampling_rate``) so future integrations are covered automatically; ``_EXTRA_BANNED_OBSERVABILITY_PARAMS`` carries the handful of fields integrations read but the allow-list hasn't caught up to. A guard test fails CI if a new entry is added to ``_supported_callback_params`` without an explicit safe-list decision. Separately in ``litellm_pre_call_utils.py``: add ``callbacks``, ``service_callback``, ``logger_fn``, and ``litellm_disabled_callbacks`` to ``_UNTRUSTED_ROOT_CONTROL_FIELDS``. The first three are appended to worker-wide ``litellm.{input,success,failure,_async_*,service}_callback`` lists / ``litellm.user_logger_fn`` from inside ``function_setup`` — one request poisons every subsequent caller in that worker. The last is the inverse primitive: the legitimate path reads it from key/team metadata, the request-body version silently disables admin-configured audit / observability for the call. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(auth): per-param allow must continue, not return early A pre-existing logic bug in ``_check_banned_params``: when the deployment-level ``configurable_clientside_auth_params`` permitted one banned field, the loop ``return``-ed on the first match instead of ``continue``-ing, so any other banned param later in the same body or metadata dict was never checked. This PR's metadata walk multiplies the surface where that bypass matters — a body pairing an allowed ``api_base`` with an observability credential like ``langfuse_host`` would silently pass. Proxy-wide ``allow_client_side_credentials`` keeps ``return`` (it's a global opt-in for every banned param). The per-param branch becomes ``continue`` so only the one explicitly-permitted field is skipped. Adds a regression test that exercises the api_base + langfuse_host pair. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(vector_store): resolve embedding config at request time, never persist creds The vector store create/update path previously called ``_resolve_embedding_config`` against the admin-configured router/DB model and persisted the resolved ``litellm_embedding_config`` dict (``api_key`` / ``api_base`` / ``api_version``) into the ``litellm_managedvectorstorestable.litellm_params`` column. Because the resolver expanded ``os.environ/...`` references via ``get_secret``, the DB row carried cleartext provider credentials, and the ``/vector_store/{new,info,update,list}`` responses returned them to any authenticated caller who could supply a known admin model name. Move the auto-resolve out of ``create_vector_store_in_db`` and out of the update path. Persist only the user-supplied ``litellm_embedding_model`` reference. Resolve at request-handling time inside ``_update_request_data_with_litellm_managed_vector_store_registry`` so the resolved config lives in the per-request ``data`` dict and is garbage-collected after the response. Legacy rows that were created by an earlier proxy version and already carry a resolved ``litellm_embedding_config`` skip the re-resolution and pass through unchanged so embedding calls keep working. The ``new_vector_store`` response now also runs the existing ``_redact_sensitive_litellm_params`` masker (already used by ``info``, ``update``, and ``list``), defending against caller-supplied cleartext on the create path and against legacy rows whose persisted credentials are still in the database. Existing tests that asserted the old write-time-resolve behaviour are updated to assert the new persistence shape (no embedding config stored, just the model reference). Two new tests cover the use-time path: one asserting fresh resolution happens when a row carries only the model reference, the other asserting legacy rows with persisted config skip re-resolution and continue to work. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(vector_store): tighten registry-mutation comment and dedupe test helpers * fix(vector_store): cache use-time embedding-config resolution Hold the resolved config in a process-memory TTL cache so the request-handling path doesn't run litellm_proxymodeltable.find_first on every vector-store call. * fix(anthropic,bedrock,vertex): forward output_config.effort + 400 on garbage reasoning_effort Follow-up bugs surfaced by the QA sweep on PR #27039 (https://github.com/BerriAI/litellm/pull/27039#issuecomment-4363363610). 1. Stop stripping output_config.effort on Bedrock + Vertex adaptive routes. - Vertex AI Claude 4.6/4.7 accepts output_config.effort on rawPredict (verified end-to-end against us-east5 / global). The strip helper now no-ops for effort. - Bedrock Converse routes output_config into additionalModelRequestFields for anthropic base models so the requested adaptive tier (low/medium/ high/xhigh/max) actually reaches the wire instead of all collapsing to identical thinking. - Bedrock Invoke chat transformation (AmazonAnthropicClaudeConfig) stops popping output_config from the post-AnthropicConfig request body. - Bedrock Invoke /v1/messages allowlist (BedrockInvokeAnthropicMessagesRequest) now lists output_config so the runtime allowlist filter forwards it. 2. Validate effort across Bedrock Converse so 'disabled' / 'invalid' / '' / unsupported tiers (xhigh/max on Sonnet 4.6 or budget-mode 4.5 models) surface as a clean 400 BadRequestError instead of 500. 3. ValueError -> BadRequestError throughout (AnthropicConfig.map_openai_params, _apply_output_config, AmazonConverseConfig._handle_reasoning_effort_parameter). Empty-string effort is now rejected (was silently passing the 'if effort and ...' short-circuit). 4. Floor reasoning_effort='minimal' at the Anthropic provider minimum (1024 budget_tokens) via new ANTHROPIC_MIN_THINKING_BUDGET_TOKENS so it's a usable tier on direct Anthropic / Azure AI Anthropic / Vertex AI Anthropic / Bedrock Invoke (all of which 400 below 1024). 5. model_prices: dedupe duplicate supports_max_reasoning_effort key on claude-opus-4-7 / claude-opus-4-7-20260416. Adds regression tests across all five affected paths; existing tests asserting the silent-strip behavior were updated to reflect the new pass-through and clean 400 surfaces. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * fix(constants): make ANTHROPIC_MIN_THINKING_BUDGET_TOKENS a plain constant The documentation CI test (tests/documentation_tests/test_env_keys.py) asserts every os.getenv() key in the source has a matching entry in the litellm-docs config_settings.md table. ANTHROPIC_MIN_THINKING_BUDGET_TOKENS tracks Anthropic's published wire-protocol minimum (1024) — it's not a user-tunable, so making it env-overridable was wrong anyway. Drop the os.getenv() wrapper; the value is now a plain literal. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * fix(anthropic,bedrock): correct effort error message and dedupe effort_map - Remove 'none' from the Bedrock _validate_anthropic_adaptive_effort error message; it was listed as a valid value but rejected by the membership check, leaving users in a feedback loop if they tried 'none'. - Hoist the duplicated reasoning_effort -> output_config.effort mapping out of AnthropicConfig.map_openai_params and AmazonConverseConfig._handle_reasoning_effort_parameter into a single AnthropicConfig.REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT class constant so the two routes cannot drift. * fix(anthropic): translate reasoning_effort on /v1/messages route Closes the remaining QA-sweep gap on PR #27074: Bedrock Invoke /v1/messages was silently ignoring ``reasoning_effort`` because the shared param filter only kept native Anthropic keys, so every effort tier collapsed to the same behavior on the wire (27/231 cells failing across opus-4-5 / opus-4-6 / sonnet-4-6). Map ``reasoning_effort`` to native Anthropic ``thinking`` / ``output_config.effort`` at the ``AnthropicMessagesConfig`` layer so all four /v1/messages routes (direct Anthropic, Azure AI, Vertex AI, Bedrock Invoke) inherit the same translation: - Add ``reasoning_effort`` to ``AnthropicMessagesRequestOptionalParams`` so the param filter in ``AnthropicMessagesRequestUtils.get_requested_anthropic_messages_optional_param`` no longer drops it before the transformation runs. - Add ``_translate_reasoning_effort_to_anthropic`` and call it from ``transform_anthropic_messages_request``. Mirrors ``AnthropicConfig.map_openai_params`` on the chat completion path (re-uses ``_map_reasoning_effort`` and ``REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT``) so the two routes cannot drift. Pops ``reasoning_effort`` so it never reaches the wire. - Caller-supplied native ``thinking`` / ``output_config.effort`` always win — same precedence as ``_translate_legacy_thinking_for_adaptive_model``. - Garbage values (``""``, ``"disabled"``, ``"invalid"``) raise ``AnthropicError(status_code=400)`` instead of falling through and surfacing as 500s from the provider. - ``"none"`` clears thinking + output_config so callers can opt out per request. Also restores the non-adaptive-model test coverage on Bedrock Invoke /v1/messages that the previous commit lost when ``test_bedrock_messages_strips_output_config`` was renamed to the ``forwards`` variant on Opus 4.7. Adds a new test file ``test_reasoning_effort_translation.py`` covering the translation at the shared config level (adaptive + non-adaptive models, none, garbage, caller precedence) so all four /v1/messages routes are exercised by a single suite. Adds parametrized + behavioral tests on the Bedrock Invoke /v1/messages suite covering: minimal/low/medium/high/xhigh/max mapping for adaptive models, thinking-budget mapping for non-adaptive Opus 4.5, ``none`` clears both, garbage raises 400, explicit ``output_config`` wins. Refs: https://github.com/BerriAI/litellm/pull/27074 * fix(anthropic,bedrock): reject unmapped reasoning_effort at mapping site Both the chat completion path (AnthropicConfig.map_openai_params) and the Bedrock Converse path (_handle_reasoning_effort_parameter) used REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT.get(value, value) which falls back to the raw input on unmapped keys. Combined with _map_reasoning_effort returning type='adaptive' for any string on Claude 4.6/4.7, garbage values (e.g. 'disabled') could leak into optional_params['output_config']['effort'] unvalidated if map_openai_params ran without the downstream transform_request or _validate_anthropic_adaptive_effort check. Mirror the /v1/messages pattern: use .get(value) (no fallback) and raise BadRequestError immediately when the value is unmapped, co-locating validation with the mapping for defense in depth. * style: black formatting Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * fix(anthropic): stop class-attr leak; gate xhigh/max on every route The reasoning-effort mapping dict was a public class attribute on AnthropicConfig, so BaseConfig.get_config returned it as a request parameter and every Anthropic-backed call (Anthropic / Azure / Vertex / Bedrock Invoke) hit a 400 'REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT: Extra inputs are not permitted' from the provider. Move the mapping to a module-level constant. _supports_effort_level only looked the model up under custom_llm_provider='anthropic', so bedrock-prefixed model ids (e.g. bedrock/invoke/us.anthropic.claude-opus-4-7) returned False for both 'max' and 'xhigh' even when the underlying model entry has the flag set. Strip known provider prefixes and retry the lookup against litellm.model_cost directly so per-model gating works on every route. Mirror the per-model xhigh/max gate from AnthropicConfig._apply_output_config in AnthropicMessagesConfig._translate_reasoning_effort_to_anthropic so the /v1/messages route also raises a clean 400 instead of forwarding the unsupported tier. * feat(anthropic,bedrock): strip output_config under drop_params for non-effort models When a proxy fronts Claude Code (which always sends `output_config.effort`) at a pre-4.5 Anthropic model — haiku-3, sonnet-3.5, opus-3, sonnet-4 — the forwarded knob causes a forced 400 the client can't fix. Gating a strip behind the existing `drop_params` flag lets operators opt into silent fixup once and stop worrying about per-model param hygiene. Default (`drop_params=False`) still forwards and surfaces the provider's error, preserving the strict, debuggable contract from #27074. Per https://platform.claude.com/docs/en/build-with-claude/effort the supporting set is Opus 4.5+, Sonnet 4.6+, and Mythos Preview; everything else is dropped (with a verbose_logger warning so the strip is visible). Recognition uses model-name patterns plus a fallback to any `supports_*_reasoning_effort` flag in the model map for forward compatibility with new entries. https://claude.ai/code/session_01WjHq31rvXT6xYNdVmSJvRp (cherry picked from commit |
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4f6192a49e |
Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_dbReconnectNonBlocking_local
# Conflicts: # tests/test_litellm/proxy/db/test_prisma_self_heal.py |
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aa2ef41200 |
fix(proxy): preserve original transport error if reconnect itself raises
Greptile review on #26756 (P2): if `attempt_db_reconnect` itself raises (e.g. lock cancellation, timer error, unexpected internal failure), the original `httpx.ReadError` / transport error was lost — `failure_handler` and `db_exceptions` alerts then logged the reconnect exception instead of the actual DB transport problem, masking the root cause. Wrap the reconnect call in a try/except. On reconnect failure, re-raise the *original* `first_exc` and chain the reconnect error as `__cause__` so it remains visible for debuggability without becoming the primary exception observers see. Adds `test_call_with_db_reconnect_retry_preserves_original_error_when_reconnect_raises` asserting (a) the propagated exception is the original transport error and (b) the reconnect exception is attached as `__cause__`. |
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1c9c219a74 |
fix(proxy): self-heal Prisma read paths + harden reconnect state machine
Two related fixes layered on top of the existing reconnect plumbing: 1. Restore reconnect-and-retry on `PrismaClient.get_generic_data` (issue #25143). 1.83.x lost the transport-reconnect-and-retry-once branch that 1.82.6 had on this method, so transient `httpx.ReadError` flaps now surface immediately as `db_exceptions` alerts. `_update_config_from_db` fans out four concurrent `get_generic_data` reads, so a single transport blip used to mark four alerts and a stale config window. Adds `call_with_db_reconnect_retry` to `litellm/proxy/db/exception_handler.py` — a single canonical "try DB read, on transport error reconnect once and retry once" wrapper. Mirrors the inline pattern in `auth_checks._fetch_key_object_from_db_with_reconnect` so we have one implementation rather than three drifting copies, and gives future read paths a clean opt-in. 2. Fix the `_engine_confirmed_dead` flag-reset bug in `_run_reconnect_cycle`. The flag was cleared before `_do_heavy_reconnect()` ran, so any failure inside the heavy reconnect (timeout, missing DATABASE_URL, recreate failure) left the flag False — and the next attempt could silently demote to the lightweight path even though the engine was genuinely dead. Move the reset into the success branch so the flag stays True across heavy-reconnect failures and the next attempt re-enters the heavy branch. Tests: - `tests/test_litellm/proxy/db/test_exception_handler_reconnect_retry.py` (new) — 9 tests covering the helper's contract: happy path, retry on transport error, no retry on data-layer errors, propagation when reconnect fails, propagation after second transport error, `hasattr` guard for partial mocks, fresh-coroutine-per-call invariant, explicit timeout override, default timeouts read off the prisma_client. - `tests/test_litellm/proxy/db/test_prisma_self_heal.py` — adds: - `test_get_generic_data_retries_on_transport_error_for_config_table` - `test_get_generic_data_propagates_when_reconnect_fails` - `test_engine_confirmed_dead_persists_across_failed_heavy_reconnect` (regression test for the flag-reset bug). All 16 self-heal tests + 9 helper tests + 535 auth/exception-handler tests pass locally. |
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8c91c8b2c4 | Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_dbReconnectNonBlocking | ||
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c4c1861389
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Merge pull request #26195 from BerriAI/litellm_team_member_total_spend
Track per-member total spend on team memberships |
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288d403529
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[Fix] Preserve in-memory spend updates when Redis rpush fails
store_in_memory_spend_updates_in_redis drained the in-memory queues into local variables before the rpush pipeline. If rpush raised (cloud Redis hiccup, timeout, connection blip), those already-drained transactions were garbage-collected with the scheduler job, silently losing all spend aggregated during that tick. Wrap the rpush in try/except. On failure, re-enqueue the aggregated transactions into their respective in-memory queues so the next scheduler tick retries. Add a unit test that seeds real queues, simulates an rpush failure, and asserts the transactions land back in-memory. |
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fbcdacc446
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[Fix] Proxy: reconnect Prisma DB without blocking the event loop
When the DB becomes unreachable the reconnect path calls
`prisma.disconnect()`, which ultimately invokes prisma-client-py's
synchronous `subprocess.Popen.wait()` on the query engine subprocess.
That call does not yield to asyncio, so the event loop freezes for
however long the Rust engine takes to shut down (30-120+ seconds in
production when the engine is stuck on TCP close). During the freeze
`/health/liveliness` becomes unresponsive, and in Kubernetes the
liveness probe fails and the pod is SIGKILL'd.
Replace `disconnect()` in the reconnect paths with a direct, non-blocking
kill of the engine subprocess (SIGTERM -> 0.5s asyncio-yielding sleep ->
SIGKILL) followed by a fresh Prisma client and a new `connect()`. Both
`recreate_prisma_client` and the formerly-separate "direct reconnect"
path go through the same kill-then-recreate flow.
Also validate `_get_engine_pid` returns an int (defensive; prevents a
MagicMock leak under unit-test mocking).
Tests that encoded the old blocking behavior are updated or removed;
the deleted `test_lightweight_reconnect_skips_kill_on_successful_disconnect`
invariant ("don't kill on successful disconnect") was part of the bug.
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e5f3e15969
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Track per-member total spend on team memberships
Adds total_spend column to LiteLLM_TeamMembership that accumulates continuously and is not zeroed by the budget cycle reset job. This enables UI surfaces to distinguish current-cycle spend (the existing spend column, which resets) from lifetime spend per team member. Also exposes budget_reset_at on LiteLLM_BudgetTable so /team/info callers can see when a member's budget window next resets. The field was already stored in the DB but stripped by the response Pydantic model. Includes regression tests that: - Guard the reset job against ever writing total_spend: 0 - Verify the spend writer increments both spend and total_spend in one UPDATE statement. |
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9c0b73e5f4
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[Fix] should_create_missing_views returns False for reltuples=0 (falsy zero bug)
`should_create_missing_views()` had `and result[0]["reltuples"]` which is falsy when reltuples=0. On a fresh empty PostgreSQL table, CREATE INDEX sets reltuples=0, causing the guard to return False and skip view creation entirely. Views like MonthlyGlobalSpendPerKey are never created, and the /global/spend/logs endpoint returns 500. Fix: change to `and result[0]["reltuples"] is not None` so reltuples=0 (empty table) and reltuples=-1 (unanalyzed table) both correctly return True. Also harden test_vertex_ai.py to return None instead of crashing with JSONDecodeError when the spend-logs endpoint returns a non-JSON 500 response, and add unit tests covering all three reltuples branches (0, -1, positive). |
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e8461b5b97
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style: run black formatter on files from main merge | ||
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f92490c308
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fix: make PodLockManager.release_lock atomic compare-and-delete (re-land #21226) (#24466)
Some checks are pending
Unit Tests: Proxy DB Operations / proxy-db (auth-checks, tests/proxy_unit_tests/test_auth_checks.py tests/proxy_unit_tests/test_user_api_key_auth.py, 20, 8) (push) Waiting to run
Unit Tests: Proxy DB Operations / proxy-db (key-generation, tests/proxy_unit_tests/test_key_generate_prisma.py, 30, 0) (push) Waiting to run
Unit Tests: Proxy DB Operations / proxy-db (remaining, tests/proxy_unit_tests --ignore=tests/proxy_unit_tests/test_key_generate_prisma.py --ignore=tests/proxy_unit_tests/test_auth_checks.py --ignore=tests/proxy_unit_tests/test_user_api_key_auth.py, 30, 8) (push) Waiting to run
Unit Tests: Security / security (push) Waiting to run
* fix: make PodLockManager.release_lock atomic compare-and-delete Re-lands #21226 (reverted in #21469). release_lock() previously did GET + compare + DEL in separate calls, leaving a window where another pod could reacquire the lock between the GET and DEL, causing a stale owner to delete a live lock. Fix: use a Redis Lua script for atomic compare-and-delete. Script registration is cached per PodLockManager instance. Falls back to the old GET+DEL path for cache backends that don't expose async_register_script. Original revert was due to e2e tests running in CI without Redis. Those tests now carry @pytest.mark.skip(reason="Requires Redis connection.") so this re-land is safe. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: add Lua fallback on execution error + test coverage gaps Address Greptile review feedback on #24466: 1. Wrap Lua script execution in try/except — if Redis clears loaded scripts (restart) or scripting is disabled, fall back to GET+DEL rather than letting the exception propagate and leave the lock held until TTL. Reset cached script handle so the next call re-registers. 2. Add test_release_lock_lua_path_emits_released_event — verifies _emit_released_lock_event is called when Lua path returns 1. 3. Add test_release_lock_falls_back_to_get_del_when_lua_execution_fails — verifies the fallback path is taken and script handle is reset. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> |
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b0a40fde6d
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Merge pull request #25559 from shreyescodes/fix/cors-and-db-safety-bugs
fix: harden CORS credentials, create_views exception handling, and spend log cleanup loop |
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e01fe01d35 | fix: address Greptile P1 review comments | ||
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e079ee779f |
fix: harden CORS, create_views exception handling, and spend log cleanup loop
- proxy_server.py: disable allow_credentials when allow_origins=['*'] (wildcard + credentials is a browser security misconfiguration). Add LITELLM_CORS_ORIGINS env var to configure explicit allowed origins. - create_views.py: narrow broad 'except Exception' to only catch genuine 'view does not exist' errors; re-raise all other DB errors (auth, connection, etc.) that were previously silently swallowed. - spend_log_cleanup.py: validate execute_raw() return type is int before using it as a deletion count; break loop safely on unexpected types to prevent infinite deletion loops. |
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a6c30b30bf
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build: migrate packaging, CI, and Docker from Poetry to uv (#25007)
* build: migrate packaging metadata to uv * ci: move automation and local tooling to uv * docker: migrate image builds and runtime setup to uv * docs: update install and deployment guidance for uv * chore: align auxiliary scripts and tests with uv * test: harden test_litellm isolation * fix: keep release and health check images self-contained * build: pin uv tooling and health check deps * test: isolate bedrock image request formatting from suite state * test: cover sandbox executor requirements flow * ci: fix circleci no-op command steps * ci: fix circleci publish workflow parsing * fix: stabilize remaining uv migration CI checks * ci: increase matrix test timeout headroom * fix: restore published docker and license coverage * fix: restore proxy runtime build parity * fix: restore proxy extras parity and venv migrations * ci: persist uv path across circleci steps * fix: keep psycopg binary in default test env * docker: preserve prisma cache across stages * test: run local proxy checks through uv python * build: restore runtime deps moved into ci * build: refresh uv lock after upstream merge * fix: restore module import in test_check_migration after merge The conflict resolution imported only the function but the test body references check_migration as a module throughout. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: revert dependency promotions, remove nodejs-wheel-binaries, fix Docker layer caching - Move google-generativeai, Pillow, tenacity back to ci group (they are lazily imported and bloat the base SDK install needlessly) - Remove nodejs-wheel-binaries from extra_proxy and proxy-dev (redundant in Docker where system Node.js is already installed via apk) - Remove all nodejs-wheel node replacement and venv npm patching blocks from Dockerfiles since the wheel is no longer installed - Add --no-default-groups to CodSpeed benchmark workflow so the benchmark environment matches the old minimal pip install footprint - Apply standard uv two-phase Docker pattern: copy metadata first, install deps (cached layer), then copy source and install project - Replace CircleCI enterprise no-op with proper uv sync command Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: regenerate uv.lock after removing nodejs-wheel-binaries Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): use cache/restore instead of cache to prevent cache poisoning The old workflow used actions/cache/restore (read-only). The uv migration changed it to actions/cache (read-write), which zizmor flags as a cache poisoning risk. Restore the safer read-only variant. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): disable setup-uv built-in cache to silence cache-poisoning alert The setup-uv action enables caching by default, which zizmor flags as a cache poisoning risk. Disable it since we already use a read-only cache/restore step. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): disable setup-uv cache in publish workflow Silences zizmor cache-poisoning alert. Publishing workflow runs infrequently on protected branches so caching adds no real benefit. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(test): remove duplicate verbose_logger mock in test_check_migration The logger was patched twice — first via mocker.patch() then via mocker.patch.object(autospec=True). The second call fails because autospec cannot inspect an already-mocked attribute. Remove the redundant first patch. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): free disk space before Docker build in test-server-root-path The Dockerfile.non_root build ran out of disk on the CI runner. Remove Android SDK, .NET, Boost, and GHC toolchains (~12GB) to free space. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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61b295238b
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cherry-pick: tag query fix + MCP metadata support (#25145)
* added support for metadata (#24261) * added support for metadata * fix: PR review - meta truthiness, BlobResourceContents mimeType, add Blob+empty meta tests Made-with: Cursor * pyproject to .25 * feat(teams): resolve access group models/MCPs/agents in team endpoints Add access_group_models, access_group_mcp_server_ids, and access_group_agent_ids to /team/info and /v2/team/list responses. These fields contain resources inherited from access groups, kept separate from direct assignments so the UI can distinguish the source. Backend: _resolve_access_group_resources() helper resolves access group resources via existing _get_*_from_access_groups() functions. UI: Teams table and detail view show direct models as blue badges and access-group-sourced models as green badges. * perf(teams): single-pass access group resolution + asyncio.gather in list endpoint - Fetch each access group object once and extract all 3 resource fields in a single pass instead of 3 separate calls (3N → N lookups) - Use asyncio.gather to resolve access groups across teams concurrently in list_team_v2 instead of sequential awaits - Add 5 unit tests for _resolve_access_group_resources * docs: add default_team_params to config reference and update examples - Add default_team_params to litellm_settings reference table in config_settings.md with all sub-fields documented - Update self_serve.md and msft_sso.md examples to include team_member_permissions, tpm_limit, and rpm_limit - Fix misleading comment that implied default_team_params only applies to SSO auto-created teams — it applies to all /team/new calls * docs: clarify that models sub-field only applies to SSO auto-created teams * fix: lazy import get_access_object to break cyclic import + short-circuit all-proxy-models display - Remove get_access_object from module-level import in team_endpoints.py and use a lazy _get_access_object wrapper to avoid cyclic dependency - Add _prisma_client is None early-exit guard in _resolve_access_group_resources - Short-circuit UI to show "All Proxy Models" when team.models is empty or contains "all-proxy-models", skipping access group model resolution * add: making organizations a select instead of read only badges * fix(ui): only send organization_id when changed and use raw initial value * fix(ui): add paginated team search to usage page filter Replace the static team dropdown on the usage page with a new TeamMultiSelect component that uses the paginated v2/team/list endpoint with debounced server-side search and infinite scroll. * fix(ui): fix imports and update placeholder for team multi select * fix(ui): wire team_id filter to key alias dropdown on Virtual Keys tab The Key Alias dropdown on the Virtual Keys page was showing aliases from all teams regardless of which team was selected. The team_id was never passed through the frontend chain to the backend /key/aliases endpoint. - Backend: add optional team_id query param to /key/aliases endpoint - networking.tsx: add team_id param to keyAliasesCall - useKeyAliases: accept and forward team_id to API call and query key - filter.tsx: pass allFilters context to custom filter components - PaginatedKeyAliasSelect: read Team ID from allFilters and pass to hook * fix(tests): correct mock targets in TestResolveAccessGroupResources Three tests were patching the non-existent `get_access_object` instead of `_get_access_object` (the lazy-import wrapper), causing AttributeError. Also added missing `prisma_client` mock so tests get past the early-exit guard and actually exercise the resolution logic. * fix: use direct attribute access with or [] fallback in _resolve_access_group_resources Replace getattr(ag, "field", []) with ag.field or [] for cleaner access and safe handling if a field is None. * fix(ui): remove model source legend from team detail view The blue/green color distinction is self-explanatory; the legend added visual clutter without providing enough value. * fix(ui): add missing access_group fields to TeamData.team_info type The TeamData interface was missing access_group_models, access_group_mcp_server_ids, and access_group_agent_ids fields, causing a TypeScript build failure. * perf(teams): batch-fetch access groups in single DB query Replace per-ID _resolve_access_group_resources loop with a single find_many call that deduplicates IDs across all teams. Removes the N+1 query pattern on cold cache for the team list endpoint. * refactor(proxy): extract helpers to fix PLR0915 violations Extract `_apply_non_admin_alias_scope` from `key_aliases`, `_resolve_team_access_group_resources` from `team_info`, and `_enforce_list_team_v2_access` from `list_team_v2` to bring each function under ruff's 50-statement limit. No behavior changes. * test(ui): update tests to match new team_id / access-group signatures - useKeyAliases, PaginatedKeyAliasSelect: add trailing `undefined` to spy matchers for the new `team_id` param on `useInfiniteKeyAliases` and `keyAliasesCall`. - EntityUsage: mock new `TeamMultiSelect` child so QueryClientProvider is not required for team-entity tests. - ModelsCell: replace the overflow-accordion test with one that verifies the new collapse-on-`all-proxy-models` behavior (no accordion, single badge). * fix(ui): send null (not '') for cleared organization_id on team update AntD <Select allowClear> returns undefined when the user clears the selection. Coalescing to "" caused the team-update payload to carry organization_id: "" instead of null, relying on the backend to coerce it. Send null directly so the intent is explicit at the source. * poetry * chore: regen poetry.lock for litellm-proxy-extras 0.4.64 bump * chore: update Next.js build artifacts (2026-04-04 17:55 UTC, node v22.16.0) --------- Co-authored-by: shivam <shivam@uni.minerva.edu> Co-authored-by: Ryan Crabbe <ryan@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> * Tag query fix (#25094) * feat(tag-spend): implement separate scheduler job for daily tag spend updates * fix(docker): add g++ to build dependencies in Dockerfile * initial test cases. TODO: check scheduler init and test cases in proxy_server related to it * resolved QPS issue when redis transaction buffer is enabled * resolving circular import error flagged by greptile * fix(mypy): use Optional[str] for api_base in PydanticAI provider to match superclass signature --------- Co-authored-by: Shivam Rawat <shivam@berri.ai> Co-authored-by: shivam <shivam@uni.minerva.edu> Co-authored-by: Ryan Crabbe <ryan@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: Harish <harishgokul01@gmail.com> Co-authored-by: Ishaan Jaffer <ishaan@berri.ai> |
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b53cfe729a
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Litellm ishaan march30 (#24887) (#25151)
* fix(pricing): add unversioned vertex_ai/claude-haiku-4-5 entry Missing unversioned entry causes cost tracking to return $0.00 for all requests using vertex_ai/claude-haiku-4-5. All other Vertex AI Claude models have both versioned and unversioned entries. * fix(router): skip misleading tags error when no candidates (e.g. cooldown) Return early from get_deployments_for_tag when healthy_deployments is empty so tag-based routing does not raise no_deployments_with_tag_routing after cooldown filters all deployments. Adds regression test. Made-with: Cursor * feat(oci): add embedding support and update model catalog - Add OCIEmbeddingConfig for OCI GenAI embedding models - Add 16 new chat models (Cohere, Meta Llama, xAI Grok, Google Gemini) - Add 8 embedding models (Cohere embed v3.0, v4.0) - Update documentation with embedding examples - Update pricing for all new models * test(oci): add unit tests for OCI embedding support - 17 unit tests covering OCIEmbeddingConfig - Tests for URL generation, param mapping, request/response transform - Tests for model pricing JSON completeness * style(oci): format with black and ruff * fix(oci): correct embedding request body format OCI embedText API expects inputs, truncate, and inputType at the top level of the request body, not nested under embedTextDetails. Fixed transformation and updated tests accordingly. Verified with real OCI API: 3/3 embedding models working. * docs: clarify tag routing early return and test intent Made-with: Cursor * fix(oci): address code review findings from Greptile - P1: Fix signing URL mismatch with custom api_base by accepting api_base parameter in transform_embedding_request - P2: Remove encoding_format from supported params (OCI does not support it, was silently dropped) - P2: Raise ValueError for token-array inputs instead of silently converting to string representation - Add test for token-list rejection * fix(mcp): add STS AssumeRole support for MCP SigV4 authentication MCPSigV4Auth only supported static AWS credentials or the boto3 default credential chain. Production Kubernetes environments typically authenticate via IAM role assumption (sts:AssumeRole), which was not possible. Add aws_role_name and aws_session_name parameters to the MCP SigV4 auth stack. When aws_role_name is provided, MCPSigV4Auth calls sts:AssumeRole to obtain temporary credentials before signing requests. Explicit keys, if also provided, are used as the source identity for the STS call; otherwise ambient credentials (pod role, instance profile) are used. * fix: stop logging credential values and add missing redaction patterns Replaces raw credential values in debug/error log messages with boolean presence checks or type names. Adds PEM block, GCP token, JWT, SAS token, and service-account blob patterns to the redaction filter. Fixes private_key pattern to capture full PEM blocks instead of stopping at the first whitespace. Addresses: Vertex AI credential JSON (including RSA private key) being logged to stderr on health check failures. * fix: log only field names for UserAPIKeyAuth, not full object * style: apply black formatting to experimental_mcp_client/client.py * style: fix black/isort formatting and mypy error in proxy_server.py - Fix black formatting in experimental_mcp_client/client.py (done in prev commit) - Fix black/isort formatting in key_management_endpoints.py, proxy_server.py, transformation.py - Fix mypy: iterate over optional list safely (access_group_ids or []) in proxy_server.py * fix(test): patch check_migration.verbose_logger directly to fix xdist ordering issue When test_proxy_cli.py tests run before test_check_migration.py in the same xdist worker, litellm.proxy.db.check_migration is already in sys.modules. Patching litellm._logging.verbose_logger has no effect on the already-bound reference. Patch the correct target (check_migration.verbose_logger) and import the module before patching so the order doesn't matter. * fix(mypy): make api_base Optional in PydanticAIProviderConfig to match base class signature --------- Co-authored-by: Ihsan Soydemir <soydemir.ihsan@gmail.com> Co-authored-by: Milan <milan@berri.ai> Co-authored-by: Daniel Gandolfi <danielgandolfi@gmail.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: michelligabriele <gabriele.michelli@icloud.com> Co-authored-by: user <70670632+stuxf@users.noreply.github.com> Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com> |
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92b8e1acf8 | address greptile review: async sleep, SIGKILL Windows guard, trailing newlines | ||
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1f04fa2461 | fix(proxy): kill orphaned prisma engine subprocess on failed disconnect | ||
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8ecac84789
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Revert "feat(proxy): add Prisma DB pool and engine health metrics to Promethe…"
This reverts commit
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0bb26c3f1b
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feat(proxy): add Prisma DB pool and engine health metrics to Prometheus (#22655)
* feat(proxy): add Prisma DB pool and engine health metrics to Prometheus Add a PrismaMetricsCollector that periodically queries pg_stat_activity and the Prisma engine process to expose connection pool and engine health as Prometheus gauges/counters. Auto-enabled when prometheus_system is in service_callback. New metrics: - litellm_db_pool_active_connections (Gauge) - litellm_db_pool_idle_connections (Gauge) - litellm_db_pool_total_connections (Gauge) - litellm_db_pool_waiting_connections (Gauge) - litellm_db_engine_up (Gauge) - litellm_db_engine_restarts_total (Counter) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: address Greptile review feedback - Only increment engine_restarts counter on heavy reconnects (engine actually dead), not lightweight network-blip reconnects - Fix potential KeyError in _get_or_create_gauge/counter fallback path when REGISTRY._names_to_collectors is absent - Rename litellm_db_pool_waiting_connections to litellm_db_pool_lock_waiting_connections to clarify it measures lock contention, not pool slot queuing Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: warn when prometheus_system enabled but watchdog disabled Log a warning when users have prometheus_system in service_callback but PRISMA_HEALTH_WATCHDOG_ENABLED=false, since DB pool and engine metrics won't be collected in that configuration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * ci: retrigger CI checks Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor: use labeled gauge for DB pool connection metrics Replace 3 separate pool gauges (active, idle, total) with a single `litellm_db_pool_connections` gauge using a `state` label. This is more Prometheus-idiomatic and exposes all pg_stat_activity states (active, idle, idle in transaction, etc.) without ambiguity about what "total" includes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: address Greptile review — stale labels and fallback re-registration - Zero out known pg_stat_activity states that are absent from the current query result, preventing stale gauge values from persisting. - Simplify _get_or_create_gauge/counter by removing the fallback loop that could re-register an already-registered metric (ValueError). - Add test for stale label clearing across collection cycles. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: include "unknown" in _PG_STATES for stale label clearing Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: collect immediately on start and consolidate into single query - Move sleep to end of loop so metrics appear on /metrics immediately after startup instead of after a 30s delay. - Combine pool state and lock waiting queries into a single SQL query using conditional aggregation, halving per-cycle DB overhead. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: prevent tight spin loop on collection error Move asyncio.sleep outside the try/except so it always executes even when _collect_engine_health() or _collect_pool_metrics() raises. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: add multiprocess_mode to _get_or_create_gauge initialization - Include `multiprocess_mode` parameter to properly support multiprocessing in Gauge creation. - Ensure consistent behavior for labeled and unlabeled Gauges. * fix: handle invalid env var and document watchdog prerequisite - Add try/except ValueError for PRISMA_METRICS_COLLECTION_INTERVAL_SECONDS to prevent proxy startup crash on non-numeric values (e.g. "30s") - Document that DB metrics require both prometheus_system callback and PRISMA_HEALTH_WATCHDOG_ENABLED=true Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: use defensive null coalescing for query_raw row values Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * test: add invalid env var fallback test and fix mock signature - Add test for non-numeric PRISMA_METRICS_COLLECTION_INTERVAL_SECONDS - Add **kwargs to mock _patched_get_or_create_gauge for forward compat Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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cf439c269c
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Agents - add max budget + tpm/rpm limiting per agent AND per agent session (#22849)
* feat: enforce x-litellm-trace-id in header, if required * feat: update spend for agent * refactor: update agent table to follow similar format as other entities - also add a spend column - allows us to see spend of an agent * fix: cleanup ui * feat: return spend on agent endpoints * feat: scope pr * feat(agents/): support budgets + rate limiting on agents + agent sessions * fix: address PR review feedback - Add missing tpm_limit, rpm_limit, session_tpm_limit, session_rpm_limit columns to root schema.prisma to match proxy and extras schemas - Add backwards-compatible fallback to key metadata for max_iterations so existing users don't silently lose enforcement Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: qa'ed RPM limiting on agents --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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9d9a59190c |
Use passed general_settings parameter instead of global import
The validation method now reads use_redis_transaction_buffer directly from the passed general_settings dict rather than delegating to RedisUpdateBuffer._should_commit_spend_updates_to_redis() which imports the global. Tests simplified to remove unnecessary patching. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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3a15e1cc2e |
[Fix] Block proxy startup when use_redis_transaction_buffer is enabled without Redis cache
When `use_redis_transaction_buffer: true` is set in general_settings but no Redis cache is configured in litellm_settings, the proxy starts successfully but silently drops all spend tracking data. This adds a startup validation that raises a clear error, preventing the proxy from running in a broken state. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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1f412bc6d8
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[Feat] Add Tool Policies for AI Gateway (#22732)
* fix: fix ui render * fix: fix minor bugs * refactor: use prisma functions instead of raw sql (safer) * fix(add-new-tiles-to-tool-policies): allow developer to see what's available * feat: ensure tool allowlist runs correctly for tool names + mcp's * refactor: more ui improvements * feat: working key tool blocking * feat(tools): show tool logs * refactor: backend code improvements * refactor: improve log viewer for tools * fix: address PR review feedback for tool access control - Add missing blocked_tools column to root schema.prisma (schema drift) - Invalidate ToolPolicyRegistry after policy mutations so changes take effect immediately - Remove dead code: unused get_effective_policies, get_tool_policies_cached, and helpers Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: race condition in permission resolution and remove duplicate allowlist check - Use atomic update_many with object_permission_id=None to prevent concurrent requests from creating orphaned permission rows and losing tool blocks - Remove duplicate allowed_tools enforcement from guardrail (already enforced in auth layer via check_tools_allowlist) - Move inline uuid import to module level Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * update to account for userAgent * UI - Add ToolDetails * input/output policy * LiteLLM_PolicyAttachmentTable * LiteLLM_PolicyAttachmentTable * fix: add _enqueue_tool_registry_upsert * fix: tool mgmt endpoints * tool mgmt endpoints * Update tests/test_litellm/proxy/db/test_tool_registry_writer.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * Update tests/test_litellm/proxy/db/test_tool_registry_writer.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * Update tests/test_litellm/proxy/db/test_tool_registry_writer.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix: sync root schema.prisma and fix test_tool_registry_writer for input/output policy - Migrate root schema.prisma LiteLLM_ToolTable from call_policy to input_policy/output_policy, add missing user_agent and last_used_at columns (now consistent with litellm/proxy/schema.prisma and litellm-proxy-extras) - Fix SpendLogToolIndex comment across all three schema files - Fix all call_policy references in test_tool_registry_writer.py: swapped update_tool_policy arguments, wrong get_tools_by_names return type assertions, _mock_tool_row setting call_policy instead of input_policy Addresses Greptile review feedback on PR #22732. Made-with: Cursor --------- Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> |
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1c1b9cda42 |
merge: resolve conflict with origin/main in test_db_spend_update_writer.py
Keep both batch update tests (from this branch) and pipeline test (from main). |
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e1e05d27f8 | Merge remote-tracking branch 'origin/main' into litellm_batch_update_database_tasks | ||
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9857643eb4
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Merge pull request #22044 from ryan-crabbe/litellm_redis_pipeline_spend_updates
Litellm redis pipeline spend updates |
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6ee50ff73e
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feat(proxy): tool policies - auto-discover tools + policy enforcement guardrail (#22041)
* feat(proxy): tool policies - auto-discover tools, manage policies, guardrail enforcement
- New LiteLLM_ToolTable in schema.prisma to store discovered tools
- Auto-discovery: tools seen in LLM responses get upserted via ToolDiscoveryQueue
(hooks into DBSpendUpdateWriter, same pipeline as spend tracking)
- Management endpoints: GET /v1/tool/list, GET /v1/tool/{name}, POST /v1/tool/policy
- ToolPolicyGuardrail: blocks tool_calls in responses based on policy setting
- UI: Tool Policies page under Guardrails section with policy selector,
filters by policy/team/key, live tail, sortable table
- Unit tests for queue, writer, endpoints, guardrail
* feat(tool-policies): track call_count + discover tools from request body and /messages API
- Add call_count column to LiteLLM_ToolTable; incremented on every flush
- Extract tools from request body too (not just response tool_calls):
- OpenAI /chat/completions: tools[].function.name
- Anthropic /messages pass-through: request_body.tools[].name
- Show call_count column in UI table (sortable)
- UI: drop dual_llm option, keep only trusted/blocked
* fix: address greptile review feedback
- Remove redundant @@index([tool_name]) from schema.prisma (tool_name has @unique which already creates an index)
- Replace gen_random_uuid()::text with str(uuid.uuid4()) for portability
- Rewrite test_tool_registry_writer.py to mock execute_raw/query_raw (actual implementation) instead of Prisma model methods
- Fix test patches in test_tool_management_endpoints.py to target source modules since imports are inside function bodies
- Add "Tool Policies" page title to ToolPolicies.tsx
* fix: address greptile review round 2
- Replace NOW() with Python datetime parameter in tool_registry_writer (SQLite portability)
- Fix cache key collision in tool_policy_guardrail: use null-byte separator instead of colon
- Remove type==function filter from request-side tool extraction to match response-side behavior
- Clear seen_tool_names on flush so call_count increments per batch cycle not per pod lifetime
* fix: address greptile review round 3
- Fix test_seen_names_persist_across_flushes to match actual per-flush-cycle behavior
- Update module docstring in tool_discovery_queue.py to accurately describe flush behavior
- Add created_at/updated_at to raw SQL INSERT in batch_upsert_tools and update_tool_policy
* fix: cache tool policies per tool name not per combination
Previously the cache key was built from the full set of tool names in a
request, so each unique combination of tools got its own cold cache entry
and triggered a separate DB query. With N distinct tools across requests
this was effectively a DB hit on every request.
Now each tool name is cached individually. Cache hits are checked per
tool, only missing tools are fetched from DB in a single batch query,
and each result is cached separately. Once a tool's policy is warm,
any subsequent request using that tool benefits from the cache regardless
of what other tools are in the request.
* Update ui/litellm-dashboard/src/components/ToolPolicies.tsx
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
---------
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
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98b4964330 |
perf(proxy): pipeline Redis RPUSH/LPOP in spend update cycle
Replace 14 sequential Redis round-trips (7 RPUSH + 7 LPOP) per spend update cycle with 2 pipelined calls (1 RPUSH pipeline + 1 LPOP pipeline). This reduces connection pool contention at scale (50+ pods). - Add RedisPipelineRpushOperation and RedisPipelineLpopOperation TypedDicts - Add async_rpush_pipeline() and async_lpop_pipeline() to RedisCache - Refactor store_in_memory_spend_updates_in_redis() to use pipeline - Add get_all_transactions_from_redis_buffer_pipeline() for batched drain - Update _commit_spend_updates_to_db_with_redis() to use pipeline drain - Existing individual methods preserved for backward compatibility |
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4c5963fdb9 | test: exercise production deepcopy path in agent payload test | ||
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86ec2fbf84 |
perf(proxy): batch 11 create_task() calls into 1 in update_database()
Replace 11 separate asyncio.create_task() calls per request with a single batched task that runs all spend-update helpers sequentially. This reduces task scheduling overhead at high RPS (11,000 -> 1,000 tasks/sec at 1K RPS) and cuts 5 copy.deepcopy(payload) calls to 1 shared copy. Also fixes a mutation bug where the daily agent spend handler received the raw payload without deepcopy, unlike all other daily helpers. |
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a9c44d8530 | adjust default aggregation threshold | ||
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fb8b11cc0a |
fix(tests): use counter-based mock for time.time in prisma self-heal test
The test used a fixed side_effect list for time.time(), but the number of calls varies by Python version, causing StopIteration on 3.12 and AssertionError on 3.14. Replace with an infinite counter-based callable and assert the timestamp was updated rather than checking for an exact value. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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a939fa37ae
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fix(proxy): restore broad is_database_connection_error; add is_database_transport_error for reconnect (#21796)
Any PrismaError should be treated as a DB connection error for the allow_requests_on_db_unavailable feature and 503 responses. The narrow keyword-based check is now in is_database_transport_error, which is what the reconnect logic in auth_checks.py should use. Fixes test_delete_access_group_503_on_db_connection_error and test_handle_authentication_error_db_unavailable failures caused by PR #21706 narrowing is_database_connection_error. |
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e0129710c8
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fix(proxy): self-heal Prisma connection for auth and runtime (#21706)
* fix(proxy): add prisma reconnect primitive and db watchdog * fix(proxy): start and stop prisma watchdog in lifecycle * fix(auth): retry key lookup once after prisma reconnect * test(proxy): add prisma self-heal watchdog coverage * test(auth): cover reconnect-once behavior for key lookup * refactor(auth): extract db reconnect helper and remove inline import * fix(proxy): apply reconnect cooldown after attempt and add auth timeout path * fix(auth): bound reconnect latency on key lookup path * test(auth): assert reconnect timeout argument in key lookup * test(proxy): verify reconnect cooldown timestamp set after attempt * fix(proxy): harden prisma reconnect cycle semantics * test(proxy): cover watchdog reconnect + timeout budget * fix(proxy): bound watchdog probe and reconnect paths * test(proxy): cover watchdog timeout and probe behavior * fix(proxy): narrow prisma db connection error classification * fix(proxy): add auth reconnect lock timeout budget * fix(auth): pass lock timeout for db reconnect retries * test(proxy): cover narrow prisma connection error detection * test(proxy): add reconnect lock-timeout behavior coverage * test(auth): assert reconnect lock timeout argument * fix(proxy): avoid lock leak race in reconnect lock timeout path * test(proxy): cover reconnect lock-timeout race cleanup |
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6097905e55 |
[Feature] Track key last active timestamp
Virtual keys only track created_at and updated_at, which don't indicate when a key was last used. This adds a last_active field that gets updated during the async batch spend update, giving admins visibility into which keys are actively being used. Changes: - Add last_active DateTime? to VerificationToken and DeletedVerificationToken in all 3 schema files and Python types - Set last_active in the batch key spend update alongside spend increment - Add Last Active column to virtual keys UI table with info popover and hover tooltip showing full date/time with timezone Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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06e7bfce2e | perf(spend): avoid duplicate daily agent transaction computation (#21187) | ||
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9ce7871d8a | test_queue_flush_limit | ||
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72682f4bd4
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fix(proxy): avoid in-place mutation in SpendUpdateQueue aggregation (#20876)
* fix(proxy): prevent spend queue aggregation from mutating input updates * test(proxy): avoid order-dependent spend queue aggregation assertion |
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9ce55057ab | Adding logging for when batching fails | ||
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30027d2928 | save empty endpoint as string | ||
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516e4f8b96
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fix: proactive RDS IAM token refresh to prevent 15-min connection failed (#18795)
* fix: proactive RDS IAM token refresh to prevent 15-min connection failures (#16220) * fix: add noqa for PLR0915 in proxy_startup_event |
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ccfffc5de9 | Add endpoint to aggregate activity tables | ||
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cb9bae1aba
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Merge pull request #16764 from BerriAI/litellm_tag_spend_dedupe
[Fix] Deduplicate /tag/daily/activity metadata |
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1cad479297 | Daily Agent Usage Table WIP | ||
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68419cfe4e | Merge remote-tracking branch 'origin' into litellm_tag_spend_dedupe | ||
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2e65c464ad | Adding tests | ||
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e629a6b703 | Merge remote-tracking branch 'origin' into litellm_org_usage |