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6 commits
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a084d13635
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fix(passthrough): log the URL model and declared provider on Gemini and Vertex failures (#49075)
* fix(passthrough): log the URL model and declared provider on Gemini and Vertex failures Pass-through failures on Gemini and Vertex routes carry the model only in the URL, so the failure spend row and the Prometheus failure counter logged an empty model. The failure payload now falls back to the model parsed from the URL on those routes, and the Prometheus provider label honors the provider the request declares before inferring one from the model name * fix(passthrough): keep model and provider on mid-stream and Vertex failure logs Build the failure payload from the URL at both streamed relay sites so a 200 stream that dies mid-body still logs the model, derive vertex_ai for Vertex routes that never declare a provider, and have the Vertex logging handler reuse get_vertex_model_id_from_url instead of its own regex * fix(passthrough): bound the Prometheus provider label and name Vertex failures like the success handler Declared providers only reach the api_provider label when they name a registered provider, otherwise the label falls back to inference. Vertex failure rows now use the success handler's model naming (vertex_ai/ prefix on rawPredict and streamRawPredict, vertex_ai/search_api on :search) and its host-based provider detection, and the detected-stream failure sites are covered by tests. * fix(passthrough): name Google failures from the URL on untracked methods too A Gemini or Vertex pass-through failure on a method the success handler does not track (countTokens, for one) still logged model "" and no provider, although the model sits in the URL. The failure payload now falls back to the Google AI host for the provider and reads /models/<name> from the URL, so countTokens 400s name their model and provider like generateContent ones do. Non-Google hosts keep the tracked-route rule and still log nothing extra. * fix(passthrough): trust the declared Google provider and Vertex-shaped paths on custom bases The failure path only named the Google provider from the URL when the method was one the success handler tracks or the host was a Google API host, so a Gemini countTokens failure behind a custom GEMINI_API_BASE (or a Vertex one behind a custom base) still logged an empty model. A route that declares gemini or vertex_ai now wins outright, and a URL whose path carries /projects/<p>/locations/<l>/ counts as Vertex on any host, while a tracked method on a non-Google host no longer passes as Vertex. * fix(pass_through): stop the URL model parser at the query string so a configured key never lands in a spend row's model * test(pass_through): run the URL-model failure tests through the real ProxyLogging with a recording callback * fix(passthrough): scope declared provider to pass-through failures and match Google hosts only Prometheus trusts the resolved provider as before and reads the request-declared provider only on pass-through failures. Vertex attribution matches Google hosts, strips operation poll suffixes, prefixes vertex_ai/ only for rawPredict, reads the URL path only, covers Vertex Live WebSocket failures, and labels a router alias failure with the alias the client requested * fix(passthrough): attribute failures from the URL only on built-in Google routes and keep other routes' metric labels A user-defined pass-through route to a Google host keeps its empty model and provider, since its URL names an upstream model rather than a LiteLLM-managed one. Prometheus failure labels read the route's provider and model_group only for gemini and vertex_ai, so Azure, OpenRouter, Bedrock and other pass-through routes keep their earlier labels. The Gemini URL parser drops the query string, Google host matching needs a dot or dash boundary, and the Vertex Claude prefix follows alt=sse like the success handler. * fix(passthrough): log the URL model on guardrail blocks and the named model on Vertex Live failures A pre-call guardrail block on a pass-through route now builds its failure payload the same way upstream failures do, so the model and provider read from the URL reach spend logs and metrics. Vertex Live websocket failures (connect errors, upstream rejections, and the credential failure) now carry the model from the ?model= query parameter under the vertex_ai provider * fix(passthrough): mark guardrail-block and Vertex Live credential failures as pass-through calls Prometheus reads a failure's declared provider only on pass-through calls, so without call_type it fell back to guessing from the model name. That labeled a guardrail block on the Gemini route as vertex_ai and the Live credential failure as None * fix(passthrough): let the route name a failure's provider and give guardrail blocks their own spend row * fix(pass-through): keep URL model attribution off routes that name another provider A built-in route that names a non-Google provider, like /openai pointed at Gemini's OpenAI-compatible host, no longer takes its failure model from the Google URL. A guardrail block response now returns the x-litellm-call-id of its spend row. --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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6b387e84b5
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fix(prometheus): preserve requested model after fallback (#45555)
* fix(prometheus): preserve requested model after fallback Co-authored-by: Bytechoreographer <Bytechoreographer@users.noreply.github.com> * fix(prometheus): read fallback origin from both metadata buckets Co-authored-by: Bytechoreographer <Bytechoreographer@users.noreply.github.com> --------- Co-authored-by: Bytechoreographer <Bytechoreographer@users.noreply.github.com> |
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365d7342c0
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fix(prometheus): label deployment failures with the deployment's provider instead of None (#47384)
* fix(prometheus): label deployment failures with the deployment's provider instead of None * test(prometheus): drive every deployment failure surface through the provider label Streaming chat, responses and messages, dropped and stalled upstreams, JSON-configured, custom-provider-map, prompt-management and unprefixed deployments, forged request metadata, an unauthenticated request, the OpenAI and Anthropic SDKs sync and async, and a concurrent burst counted exactly once per deployment --------- Co-authored-by: yucheng-berri <293926326+yucheng-berri@users.noreply.github.com> |
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2c1847f8a2
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fix(prometheus): add model_group label to end-to-end latency metrics (#44860)
litellm_llm_api_latency_metric, litellm_llm_api_time_to_first_token_metric, litellm_request_total_latency_metric, and litellm_deployment_latency_per_output_token previously carried requested_model/litellm_model_name/model_id but not model_group, so pooled-deployment latency couldn't be grouped by model pool on dashboards -- only the proxy-overhead-only metrics (litellm_overhead_latency_metric and friends) had model_group. All four metrics read enum_values.model_group through the existing prometheus_label_factory plumbing, so no new parameter threading was needed, just the label-list addition. Co-authored-by: ahamedshaik16 <24526479+ahamedshaik16@users.noreply.github.com> |
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c3a23fe499
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refactor: expose core private helpers under public names (#44871)
* refactor: expose core private symbols with compatibility aliases Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * types: narrow core migration diagnostics Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: preserve runtime behavior in core symbol migration Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: preserve core private usage migration behavior Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: preserve private value rebinding compatibility Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: restore optional imports and cover public helpers Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test: exempt router property from call coverage Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test: align recursive detector ignore names Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: mateo <mateo@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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cf491d1df9
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test: move tests/test_litellm integrations and secret_managers into tests/unit (#43194)
* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: rename fork-flag to unit-flag now that it applies on every event * test: move tests/test_litellm root and small trees into tests/unit Pure renames, no content changes. Follow-up commits in this PR fix references, merge the three files that already existed in tests/unit, keep live-provider tests in tests/test_litellm and wire CI. * test: carry tests/test_litellm conftest isolation into tests/unit Callback lists, routing fallbacks, cached HTTP clients, logger state, AWS, proxy-URL and keychain env, and session-end client cleanup now reset for unit tests too. The environment isolation owns its MonkeyPatch so a test's own monkeypatch is undone before the model-cost teardown runs. * test: merge, split and prune the moved root and small-tree tests Merge batches/test_batch_utils.py and the chat_completions and messages dispatch tests into the files that already existed in tests/unit. Keep the live Gemini interactions tests, the async image-fetch format test and the OpenAI embedding scorer test in tests/test_litellm since they need real network or keys. Put test_router.py under tests/unit/test_router so the existing package no longer shadows it. Delete eight tests the audit found superseded by stronger ones kept in this move. * ci: run the moved root and small-tree tests under their legacy flags Add the misc and responses-caching-types flags to unit_selection.sh and CircleCI, extend enterprise-routing and mcp-integration, and point the legacy GHA shards, Makefile, redis-compat workflow, merge smoke manifest and change classifier at the new paths. * test: make the new tests/unit directories packages tests/unit/test_package_layout.py requires every directory to carry an __init__.py, and without one the moved and retained test_litellm_responses_bridge.py modules collide on import. * test: scope the unit socket block to tests/unit in shared sessions The GHA shards collect the legacy test-path and the unit selection in one pytest session. The unit conftest's loopback-only block leaked into legacy modules that reach the network at import. The legacy conftest now lifts the restriction at collect and setup time, and the unit conftest re-applies it when collecting its own modules. * test: move tests/test_litellm/llms into tests/unit/llms Rename-only. Moves the provider tests and the fine-tuning fixtures they load, mirroring the old paths. Follow-up commits merge, split and wire them. * test: merge, split and prune the moved llms tests Merges the Databricks chat transformation tests into the existing unit file, keeps the tests that need real keys or the network in tests/test_litellm, deletes the audited tests a stronger unit test already covers, and points imports at tests.unit.llms. * ci: run the moved llms tests under their legacy flags The Vertex AI and All Other Providers shards keep their legacy test-path for the retained files and add the llm-vertex-ai and llm-other-providers unit selections. CircleCI gets matching unit jobs. * test: make the tests/unit/llms directories packages Adds __init__.py to the moved dirs and drops the legacy ones whose directories no longer hold tests. * test: drop script runners and path hacks the llms split left dangling The __main__ runners in the split openai_like files and the Databricks e2e runner called tests that now live in the other half of the split or were deleted. The retained legacy halves also no longer need sys.path edits. * test: give the shard-script tests their own GITHUB_OUTPUT They only passed where the runner set it. The CircleCI unit job's env allowlist drops it, so the script's redirect failed there. * test: point the router and module-deletion checks at tests/unit router_code_coverage and code_qa_check_tests only searched tests/test_litellm, so the moved router tests no longer counted. The two silent-experiment tests the audit deleted were the only direct callers of those methods; they are replaced with tests that assert the forwarded shadow request and the recursion guard. * test: move tests/test_litellm integrations and secret_managers into tests/unit Rename-only. Mirrors the old paths, including the directory conftests and the prompt and JSON fixtures. Follow-up commits prune and wire them. * test: prune and repoint the moved integrations tests Deletes the 7 audited tests a stronger test in the same tree already covers, imports the TLS sink helpers from their new conftest path, and restores os.environ after each integrations test. Some presets write OTEL_EXPORTER_OTLP_HEADERS straight into os.environ, and without the legacy tree's test ordering that header leaked into the AgentOps tests. * ci: run the moved integrations tests under their legacy flag The integrations GHA shard and a new CircleCI job run the integrations unit selection. secret_managers joins the misc selection. * docs: point integrations and secret_managers references at tests/unit * test: make the moved integrations directories packages * test: keep the Databricks manual e2e runner and fix the SageMaker Nova run path The Databricks e2e file is a manual script whose main() calls the tests that were pruned, so pruning them broke the documented run. It is back to its main version. The SageMaker Nova docstring now points at the file's real location in tests/local_testing. * test: keep the job's UNIT_FLAG out of the shard-script tests --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
Renamed from tests/test_litellm/integrations/test_prometheus_labels.py (Browse further)