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* test(e2e): OTEL trace completeness on /v1/messages Extends the LIT-3787 trace-completeness suite to the Anthropic-native route: one successful non-streaming /v1/messages call must land at the destination as ONE connected trace (root SERVER span + auth/db/cost children + gen-AI CLIENT span, no dangling parents). Adds the raw /v1/messages sender to the logging suite client. * test(e2e): reuse the shared AnthropicMessagesBody per review Drops the duplicate /v1/messages request model in favor of the one models.py already provides (budget_client uses the same one), passes max_tokens at the call site to match the sibling chat test, notes in the docstring why the gen-AI span is named chat on this surface, and adopts the hardened read-back signature * test(e2e): author the messages trace test docstring * test(e2e): declare the messages surface on the covers marker * test(e2e): otel trace completeness on /v1/responses (#33134) * test(e2e): OTEL trace completeness on /v1/responses Extends the LIT-3787 trace-completeness suite to the OpenAI Responses API route: one successful non-streaming /v1/responses call must land at the destination as ONE connected trace. Adds the raw /v1/responses sender, a CHEAP_OPENAI_MODEL config constant, and registers responses in the otel registry cell's exercised_on. * test(e2e): author the responses trace test docstring * test(e2e): declare the responses and chat surfaces on the covers markers
45 lines
2.1 KiB
Python
45 lines
2.1 KiB
Python
"""Generic configuration for live e2e tests against a running LiteLLM proxy.
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Shared by every e2e suite under tests/e2e/. Values come from the
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environment so the same tests run against localhost or a deployed proxy.
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"""
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import os
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import uuid
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PROXY_BASE_URL = os.environ.get("LITELLM_PROXY_URL", "http://localhost:4000").rstrip("/")
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MASTER_KEY = os.environ.get("LITELLM_MASTER_KEY", "sk-1234")
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# Control-plane (management/admin) base URL. In a split control-plane/data-plane
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# deployment the LLM data plane (PROXY_BASE_URL: /chat, /embeddings, native
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# passthrough) and the management API (keys, users, teams, orgs, budgets, spend,
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# model info, /openapi.json) are served by *different* services. The suite drives
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# both through one Transport that routes by path (see transport.SplitTransport).
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# Defaults to PROXY_BASE_URL so a monolithic proxy serving everything on one URL
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# behaves exactly as before.
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CONTROL_PLANE_BASE_URL = os.environ.get(
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"LITELLM_CONTROL_PLANE_URL", PROXY_BASE_URL
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).rstrip("/")
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UI_USERNAME = os.environ.get("E2E_UI_USERNAME", "admin")
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UI_PASSWORD = os.environ.get("E2E_UI_PASSWORD", MASTER_KEY)
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CHEAP_ANTHROPIC_MODEL = os.environ.get("E2E_CHEAP_ANTHROPIC_MODEL", "claude-haiku-4-5")
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CHEAP_OPENAI_MODEL = os.environ.get("E2E_CHEAP_OPENAI_MODEL", "gpt-5.5")
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# Jaeger query API of the compose stack's OTEL trace destination (the `jaeger`
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# service in docker-compose.yml maps it to host 16686). Trace-completeness tests
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# read exported spans back through it.
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OTEL_QUERY_URL = os.environ.get("E2E_OTEL_QUERY_URL", "http://localhost:16686").rstrip("/")
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# Writes on the proxy are eventually consistent (e.g. spend rows flush on
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# proxy_batch_write_at, ~60s). Read-backs poll to this deadline, never sleep-once.
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POLL_TIMEOUT = float(os.environ.get("E2E_POLL_TIMEOUT", "120"))
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POLL_INTERVAL = float(os.environ.get("E2E_POLL_INTERVAL", "5"))
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REQUEST_TIMEOUT = float(os.environ.get("E2E_REQUEST_TIMEOUT", "60"))
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def unique_marker() -> str:
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"""A short unique token per call/run, so concurrent runs and the shared
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response cache never collide on prompts, tags, or customer ids."""
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return uuid.uuid4().hex[:12]
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