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litellm/tests/integration/providers/test_databricks_decisions_wire.py
devin-ai-integration[bot] ca0ff24726
fix(databricks): call the ai_decide AI Function route for decisions and the auto-router (#45722) 
* fix(databricks): call the ai_decide AI Function route for decisions and the auto-router

Databricks serves ai_decide at POST <host>/api/2.0/ai-functions/ai-decide, not
on a serving endpoint's /invocations route. The decisions provider and the
auto-router classifier now accept only the ai_decide model, post to that route
without a model field, unwrap the response envelope, and map a noul answer's
probability to the System One noul field.

* test(databricks): bound the megabyte model name test by scaling, not wall time

* test(databricks): assert the whole OpenAI-format decision and floor the liveliness bound

* test(decisions): move the Databricks OpenAI-format wire row to the ai_decide route

* fix(databricks): keep serving endpoint decisions beside the ai_decide route

* test(databricks): assert the whole classifier request body in the test routing case

* test(databricks): correct System One spend call type

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@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>
2026-10-10 23:58:16 -07:00

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import threading
import time
import uuid
from collections.abc import Mapping, Sequence
from pathlib import Path
from typing import Final
import httpx
import pytest
from integration._support.client import Gateway, Scenario, eventually, object_value, string_value
from integration._support.database import read_rows
from integration._support.process import graceful_stop_seconds, owned_proxy_process
from integration._support.upstream import ScenarioHandle, delete_scenario, register_scenario
from integration.cost_calculation.cost_tracking_case import JsonResponse
from pydantic import JsonValue
_MODEL: Final = "ai_decide"
_ROUTE: Final = "/api/2.0/ai-functions/ai-decide"
_ENDPOINT: Final = "databricks-openjev-qwen35-4b"
_API_KEY: Final = "synthetic-databricks-key"
_ENV_KEY: Final = "synthetic-databricks-env-key"
_ENV_TOKEN: Final = "synthetic-databricks-env-token"
_STATE: Final[dict[str, JsonValue]] = {"ticket": "The export job hangs at 99%", "component": "billing"}
_TIER_CRITERIA: Final[dict[str, JsonValue]] = {"SIMPLE": "a lookup", "MEDIUM": "some work", "COMPLEX": "deep work"}
_QUESTIONS: Final[dict[str, JsonValue]] = {"tier": {"type": "choice", "criteria": _TIER_CRITERIA}}
_OPENAI_INPUT: Final = "The export job hangs at 99% in billing"
_OPENAI_TIER_QUESTION: Final[dict[str, JsonValue]] = {
"type": "choice",
"name": "tier",
"instructions": "Which tier?",
"choices": [{"value": name, "description": description} for name, description in _TIER_CRITERIA.items()],
}
_ANSWERS: Final[dict[str, JsonValue]] = {
"tier": {
"type": "choice",
"choice": "COMPLEX",
"confidence": 0.91,
"probabilities": {"SIMPLE": 0.03, "MEDIUM": 0.06, "COMPLEX": 0.91},
}
}
_USAGE: Final[dict[str, JsonValue]] = {"input_tokens": 367, "output_tokens": 3}
_ANSWER_BODY: Final[dict[str, JsonValue]] = {"model": _ENDPOINT, "answers": _ANSWERS, "usage": _USAGE}
_METADATA: Final[dict[str, JsonValue]] = {"version": "1.0"}
_AI_DECIDE_BODY: Final[dict[str, JsonValue]] = {"response": {"answers": _ANSWERS}, "metadata": _METADATA}
_SYSTEM_ONE_BODY: Final[dict[str, JsonValue]] = {
"model": None,
"answers": _ANSWERS,
"usage": {"input_tokens": 0, "output_tokens": 0},
"metadata": _METADATA,
}
_MODEL_RULE: Final = (
"Databricks decisions model must be 'ai_decide' (the ai_decide AI Function) or a bare serving endpoint name "
"(letters, digits, '-', '_' and '.', with no '/', '?', '#', spaces, or a leading '.'), e.g. "
"databricks-openjev-qwen35-4b"
)
_MISSING_KEY: Final = "Missing API key for Decisions provider 'databricks'"
_NON_BARE_NAMES: Final[tuple[tuple[str, str], ...]] = (
("slash", "foo/bar"),
("space", "a b"),
("leading-dot", ".hidden"),
("question-mark", "a?b"),
("hash", "a#b"),
("route-path", "serving-endpoints/ai_decide"),
)
_DATABRICKS_ERRORS: Final[tuple[tuple[str, str, int, dict[str, JsonValue]], ...]] = (
(_MODEL, _ROUTE, 400, {"error_code": "BAD_REQUEST", "message": "Invalid input: questions must not be empty"}),
(_MODEL, _ROUTE, 403, {"error_code": "PERMISSION_DENIED", "message": "ai_decide is not enabled for this workspace"}),
(
_ENDPOINT,
f"/{_ENDPOINT}/invocations",
404,
{"error_code": "RESOURCE_DOES_NOT_EXIST", "message": f"Endpoint with name '{_ENDPOINT}' does not exist."},
),
)
_SPEND_QUERY: Final = (
'SELECT spend, status, call_type, model_group, custom_llm_provider, api_base FROM "LiteLLM_SpendLogs" '
"WHERE request_id = %s"
)
_OWNED_PROXY_BUDGET: Final = int(2 * graceful_stop_seconds() + 120)
_MEGABYTE_NAME: Final = "a" * 1_000_000 + "/"
_TENTH_MEGABYTE_NAME: Final = "a" * 100_000 + "/"
def _number(value: JsonValue) -> float:
assert isinstance(value, (int, float)) and not isinstance(value, bool), value
return float(value)
def _register(scenario: Scenario, body: dict[str, JsonValue], *, status: int = 200) -> ScenarioHandle:
handle: Final = register_scenario(
f"databricks-{uuid.uuid4().hex[:12]}", JsonResponse(content_type="application/json", body=body, status=status)
)
scenario.cleanups.callback(delete_scenario, handle)
return handle
def _decide(gateway: Gateway, model: str, *, key: str | None = None) -> httpx.Response:
return gateway.request("POST", "/v1/systemone", {"model": model, "state": _STATE, "questions": _QUESTIONS}, key=key)
def _observed(gateway: Gateway) -> tuple[dict[str, JsonValue], ...]:
with httpx.Client(base_url=gateway.upstream_url, timeout=5, trust_env=False) as upstream:
return tuple(map(object_value, upstream.get("/__observations").json()["requests"]))
def _calls_to(requests: Sequence[dict[str, JsonValue]], handle: ScenarioHandle) -> list[dict[str, JsonValue]]:
return [request for request in requests if string_value(request["path"]).startswith(f"/{handle.scenario_id}/")]
def _upstream_calls(gateway: Gateway, handle: ScenarioHandle) -> list[dict[str, JsonValue]]:
return _calls_to(_observed(gateway), handle)
def _timed_decide(gateway: Gateway, model: str) -> tuple[httpx.Response, float]:
started: Final = time.perf_counter()
response: Final = _decide(gateway, model)
return response, time.perf_counter() - started
def _spend_row(call_id: str) -> dict[str, JsonValue]:
rows: Final = eventually(lambda: read_rows(_SPEND_QUERY, (call_id,)), lambda found: len(found) == 1, seconds=70)
return rows[0]
def _wildcard_deployment(scenario: Scenario, **parameters: JsonValue) -> str:
prefix: Final = f"databricks-{uuid.uuid4().hex[:8]}"
created: Final = scenario.gateway.post(
"/model/new",
{"model_name": f"{prefix}/*", "litellm_params": {"model": "databricks/*", **parameters}, "model_info": {}},
)
scenario.cleanups.callback(scenario.delete_model, string_value(object_value(created["model_info"])["id"]))
return prefix
def _router_config(classifier: Mapping[str, JsonValue], simple: str, complex_: str) -> dict[str, JsonValue]:
return {
"classifier_type": "oss_classifier",
"opensource_classifier_config": dict(classifier),
"tiers": {"SIMPLE": simple, "MEDIUM": simple, "COMPLEX": complex_, "REASONING": complex_},
}
def _environment_classifier() -> dict[str, JsonValue]:
return {"provider": "databricks", "model": _MODEL, "timeout_ms": 20000, "circuit_breaker_enabled": False}
def _router(scenario: Scenario, classifier: Mapping[str, JsonValue]) -> str:
simple: Final = scenario.model(model="openai/simple-tier")
complex_: Final = scenario.model(model="openai/complex-tier")
name: Final = f"router-{uuid.uuid4().hex[:10]}"
created: Final = scenario.gateway.post(
"/model/new",
{
"model_name": name,
"litellm_params": {
"model": "auto_router/complexity_router",
"complexity_router_config": _router_config(classifier, simple, complex_),
},
"model_info": {},
},
)
scenario.cleanups.callback(scenario.delete_model, string_value(object_value(created["model_info"])["id"]))
return name
def _chat(gateway: Gateway, model: str, *, key: str | None = None) -> httpx.Response:
return gateway.request(
"POST",
"/v1/chat/completions",
{"model": model, "messages": [{"role": "user", "content": f"design a distributed cache {uuid.uuid4().hex}"}]},
key=key,
)
def _assert_classified_by_the_complex_tier(response: httpx.Response, router: str) -> None:
assert response.status_code == 200, response.text
assert response.json()["choices"][0]["message"]["content"], response.text
assert (
response.headers["x-litellm-model-group"],
response.headers["x-litellm-model-name"],
response.headers["x-litellm-complexity-router-tier"],
response.headers["x-litellm-complexity-router-cause"],
) == (router, "openai/complex-tier", "COMPLEX", "jev_classifier"), dict(response.headers)
assert "x-litellm-classifier-cost" not in response.headers, dict(response.headers)
def _assert_classifier_call(
call: Mapping[str, JsonValue], *, path: str, authorization: str, prompt_marker: str
) -> None:
assert call["path"] == path, call
assert call["authorization"] == authorization, call
body: Final = object_value(call["body"])
assert "model" not in body, body
assert prompt_marker in string_value(body["state"]), body
assert sorted(object_value(object_value(body["questions"])["tier"])) == ["criteria", "instructions", "type"], body
def _assert_refused_before_any_upstream_call(gateway: Gateway, model: str, message: str) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(scenario, _AI_DECIDE_BODY)
deployment: Final = scenario.model(model=model, api_base=handle.api_base(), api_key=_API_KEY)
response: Final = _decide(gateway, deployment)
assert response.status_code == 400, response.text
assert message in response.text, response.text
assert _upstream_calls(gateway, handle) == []
row: Final = _spend_row(response.headers["x-litellm-call-id"])
assert (row["status"], row["call_type"], _number(row["spend"])) == ("failure", "asystemone", 0.0), row
@pytest.mark.parametrize("name", [name for _, name in _NON_BARE_NAMES], ids=[label for label, _ in _NON_BARE_NAMES])
def test_a_deployment_naming_a_non_bare_endpoint_is_refused_before_any_upstream_call(
gateway: Gateway, name: str
) -> None:
_assert_refused_before_any_upstream_call(gateway, f"databricks/{name}", _MODEL_RULE)
def test_a_deployment_naming_no_model_is_refused_before_any_upstream_call(gateway: Gateway) -> None:
_assert_refused_before_any_upstream_call(gateway, "databricks/", "A model name is required for the Decisions API")
def test_an_openai_format_request_at_v1_decisions_reaches_the_serving_endpoint_as_system_one(gateway: Gateway) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(scenario, _ANSWER_BODY)
deployment: Final = scenario.model(
model=f"databricks/{_ENDPOINT}", api_base=handle.api_base(), api_key=_API_KEY
)
response: Final = gateway.request(
"POST",
"/v1/decisions",
{
"model": deployment,
"input": _OPENAI_INPUT,
"questions": [_OPENAI_TIER_QUESTION],
},
)
assert response.status_code == 200, response.text
assert response.json() == {
"model": _ENDPOINT,
"answers": [
{
"type": "choice",
"name": "tier",
"choice": "COMPLEX",
"probabilities": [
{"value": "SIMPLE", "probability": 0.03},
{"value": "MEDIUM", "probability": 0.06},
{"value": "COMPLEX", "probability": 0.91},
],
"confidence": 0.91,
}
],
"usage": {
"input_tokens": 367,
"input_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0},
"output_tokens": 3,
"output_tokens_details": {"reasoning_tokens": 0},
"total_tokens": 370,
},
}, response.text
assert response.headers["x-litellm-model-name"] == f"databricks/{_ENDPOINT}", dict(response.headers)
(call,) = _upstream_calls(gateway, handle)
assert call["path"] == f"/{handle.scenario_id}/{_ENDPOINT}/invocations", call
assert call["authorization"] == f"Bearer {_API_KEY}", call
assert call["body"] == {
"model": _ENDPOINT,
"state": _OPENAI_INPUT,
"questions": {"tier": {"type": "choice", "instructions": "Which tier?", "criteria": _TIER_CRITERIA}},
}, call
row: Final = _spend_row(response.headers["x-litellm-call-id"])
assert (
row["status"],
row["call_type"],
row["custom_llm_provider"],
row["model_group"],
row["api_base"],
_number(row["spend"]),
) == ("success", "adecisions", "databricks", deployment, f"{handle.api_base()}/{_ENDPOINT}/invocations", 0.0), (
row
)
def test_an_openai_format_request_at_v1_decisions_reaches_the_ai_decide_route_without_a_model_field(
gateway: Gateway,
) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(scenario, _AI_DECIDE_BODY)
deployment: Final = scenario.model(model=f"databricks/{_MODEL}", api_base=handle.api_base(), api_key=_API_KEY)
response: Final = gateway.request(
"POST",
"/v1/decisions",
{
"model": deployment,
"input": _OPENAI_INPUT,
"questions": [_OPENAI_TIER_QUESTION],
},
)
assert response.status_code == 200, response.text
assert response.json() == {
"model": f"databricks/{_MODEL}",
"answers": [
{
"type": "choice",
"name": "tier",
"choice": "COMPLEX",
"probabilities": [
{"value": "SIMPLE", "probability": 0.03},
{"value": "MEDIUM", "probability": 0.06},
{"value": "COMPLEX", "probability": 0.91},
],
"confidence": 0.91,
}
],
"usage": {
"input_tokens": 0,
"input_tokens_details": {"cached_tokens": 0, "cache_write_tokens": 0},
"output_tokens": 0,
"output_tokens_details": {"reasoning_tokens": 0},
"total_tokens": 0,
},
}, response.text
assert response.headers["x-litellm-model-name"] == f"databricks/{_MODEL}", dict(response.headers)
(call,) = _upstream_calls(gateway, handle)
assert call["path"] == f"/{handle.scenario_id}{_ROUTE}", call
assert call["authorization"] == f"Bearer {_API_KEY}", call
assert call["body"] == {
"state": _OPENAI_INPUT,
"questions": {"tier": {"type": "choice", "instructions": "Which tier?", "criteria": _TIER_CRITERIA}},
}, call
row: Final = _spend_row(response.headers["x-litellm-call-id"])
assert (
row["status"],
row["call_type"],
row["custom_llm_provider"],
row["model_group"],
row["api_base"],
_number(row["spend"]),
) == ("success", "adecisions", "databricks", deployment, f"{handle.api_base()}{_ROUTE}", 0.0), row
def test_a_noul_probability_reaches_the_caller_as_the_system_one_noul_answer(gateway: Gateway) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(
scenario, {"response": {"answers": {"defect": {"type": "noul", "probability": 0.8}}}, "metadata": _METADATA}
)
deployment: Final = scenario.model(model=f"databricks/{_MODEL}", api_base=handle.api_base(), api_key=_API_KEY)
response: Final = gateway.request(
"POST",
"/v1/systemone",
{"model": deployment, "state": _STATE, "questions": {"defect": {"type": "noul", "instructions": "Bug?"}}},
)
assert response.status_code == 200, response.text
assert response.json()["answers"] == {"defect": {"type": "noul", "noul": 0.8}}, response.text
(call,) = _upstream_calls(gateway, handle)
assert call["body"] == {"state": _STATE, "questions": {"defect": {"type": "noul", "instructions": "Bug?"}}}
def test_a_wildcard_deployment_sends_each_request_to_the_named_endpoint_and_bills_each_once(gateway: Gateway) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(scenario, _ANSWER_BODY)
prefix: Final = _wildcard_deployment(scenario, api_base=handle.api_base(), api_key=_API_KEY)
model: Final = f"{prefix}/{_ENDPOINT}"
responses: Final = tuple(_decide(gateway, model) for _ in range(2))
for response in responses:
assert response.status_code == 200, response.text
assert response.json() == _ANSWER_BODY, response.text
assert response.headers["x-litellm-model-group"] == model, dict(response.headers)
assert response.headers["x-litellm-model-name"] == f"databricks/{_ENDPOINT}", dict(response.headers)
call_ids: Final = tuple(response.headers["x-litellm-call-id"] for response in responses)
assert len(set(call_ids)) == 2, call_ids
calls: Final = _upstream_calls(gateway, handle)
assert len(calls) == 2, calls
for call in calls:
assert call["path"] == f"/{handle.scenario_id}/{_ENDPOINT}/invocations", call
assert call["authorization"] == f"Bearer {_API_KEY}", call
assert call["body"] == {"model": _ENDPOINT, "state": _STATE, "questions": _QUESTIONS}, call
for call_id in call_ids:
row: Final = _spend_row(call_id)
assert (
row["status"],
row["call_type"],
row["custom_llm_provider"],
row["model_group"],
row["api_base"],
_number(row["spend"]),
) == ("success", "asystemone", "databricks", model, f"{handle.api_base()}/{_ENDPOINT}/invocations", 0.0), (
row
)
def test_a_wildcard_deployment_sends_each_ai_decide_request_to_the_route_and_logs_each_once(gateway: Gateway) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(scenario, _AI_DECIDE_BODY)
prefix: Final = _wildcard_deployment(scenario, api_base=handle.api_base(), api_key=_API_KEY)
model: Final = f"{prefix}/{_MODEL}"
responses: Final = tuple(_decide(gateway, model) for _ in range(2))
for response in responses:
assert response.status_code == 200, response.text
assert response.json() == _SYSTEM_ONE_BODY, response.text
assert response.headers["x-litellm-model-group"] == model, dict(response.headers)
assert response.headers["x-litellm-model-name"] == f"databricks/{_MODEL}", dict(response.headers)
call_ids: Final = tuple(response.headers["x-litellm-call-id"] for response in responses)
assert len(set(call_ids)) == 2, call_ids
calls: Final = _upstream_calls(gateway, handle)
assert len(calls) == 2, calls
for call in calls:
assert call["path"] == f"/{handle.scenario_id}{_ROUTE}", call
assert call["authorization"] == f"Bearer {_API_KEY}", call
assert call["body"] == {"state": _STATE, "questions": _QUESTIONS}, call
for call_id in call_ids:
row: Final = _spend_row(call_id)
assert (
row["status"],
row["call_type"],
row["custom_llm_provider"],
row["model_group"],
row["api_base"],
_number(row["spend"]),
) == ("success", "asystemone", "databricks", model, f"{handle.api_base()}{_ROUTE}", 0.0), row
@pytest.mark.parametrize("model", (5, ["a"]), ids=("int", "list"))
def test_a_non_string_model_is_refused_at_the_gateway_without_an_upstream_call(
gateway: Gateway, model: JsonValue
) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(scenario, _AI_DECIDE_BODY)
_wildcard_deployment(scenario, api_base=handle.api_base(), api_key=_API_KEY)
response: Final = gateway.request(
"POST", "/v1/systemone", {"model": model, "state": _STATE, "questions": _QUESTIONS}
)
assert 400 <= response.status_code < 500, response.text
assert _upstream_calls(gateway, handle) == []
def test_a_five_kilobyte_endpoint_name_reaches_the_upstream_and_its_not_found_answer_is_kept(gateway: Gateway) -> None:
name: Final = "n" * 5000
with gateway.scenario() as scenario:
handle: Final = _register(
scenario,
{"error_code": "RESOURCE_DOES_NOT_EXIST", "message": f"Endpoint with name '{name}' does not exist."},
status=404,
)
prefix: Final = _wildcard_deployment(scenario, api_base=handle.api_base(), api_key=_API_KEY)
response: Final = _decide(gateway, f"{prefix}/{name}")
assert response.status_code == 404, response.text[:500]
assert "RESOURCE_DOES_NOT_EXIST" in response.text, response.text[:500]
(call,) = _upstream_calls(gateway, handle)
assert call["path"] == f"/{handle.scenario_id}/{name}/invocations", call["path"][:200]
assert call["authorization"] == f"Bearer {_API_KEY}", call["authorization"]
assert call["body"] == {"model": name, "state": _STATE, "questions": _QUESTIONS}
row: Final = _spend_row(response.headers["x-litellm-call-id"])
assert (row["status"], row["call_type"], row["model_group"], _number(row["spend"])) == (
"failure",
"asystemone",
f"{prefix}/{name}",
0.0,
), row
@pytest.mark.parametrize(
"name,path,status,body", _DATABRICKS_ERRORS, ids=("ai_decide-400", "ai_decide-403", "serving_endpoint-404")
)
def test_a_databricks_error_keeps_its_status_and_message_and_bills_nothing(
gateway: Gateway, name: str, path: str, status: int, body: dict[str, JsonValue]
) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(scenario, body, status=status)
model: Final = scenario.model(model=f"databricks/{name}", api_base=handle.api_base(), api_key=_API_KEY)
response: Final = _decide(gateway, model)
assert response.status_code == status, response.text
assert string_value(body["message"]) in response.text, response.text
(call,) = _upstream_calls(gateway, handle)
assert call["path"] == f"/{handle.scenario_id}{path}", call
row: Final = _spend_row(response.headers["x-litellm-call-id"])
assert (row["status"], row["call_type"], row["model_group"], _number(row["spend"])) == (
"failure",
"asystemone",
model,
0.0,
), row
def test_a_deployment_without_a_key_and_no_environment_key_is_refused_before_any_upstream_call(
gateway: Gateway,
) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(scenario, _AI_DECIDE_BODY)
model: Final = scenario.model(model=f"databricks/{_MODEL}", api_base=handle.api_base(), api_key=None)
response: Final = _decide(gateway, model)
assert response.status_code == 401, response.text
assert _MISSING_KEY in response.text, response.text
assert _upstream_calls(gateway, handle) == []
@pytest.mark.timeout(_OWNED_PROXY_BUDGET)
def test_the_environment_key_and_base_serve_a_deployment_a_classifier_and_a_team_member_that_leave_them_unset(
gateway: Gateway, tmp_path: Path
) -> None:
with gateway.scenario() as rig_scenario:
handle: Final = _register(rig_scenario, _AI_DECIDE_BODY)
environment_base: Final = f"{handle.api_base()}/environment-workspace/serving-endpoints"
environment_path: Final = f"/{handle.scenario_id}/environment-workspace{_ROUTE}"
environment: Final = {
"DATABRICKS_API_KEY": _ENV_KEY,
"DATABRICKS_TOKEN": _ENV_TOKEN,
"DATABRICKS_API_BASE": environment_base,
}
with owned_proxy_process(gateway, tmp_path, environment) as owned, owned.gateway.scenario() as scenario:
candidate: Final = owned.gateway
with_base: Final = scenario.model(model=f"databricks/{_MODEL}", api_base=handle.api_base(), api_key=None)
bare: Final = scenario.model(model=f"databricks/{_MODEL}", api_base=None, api_key=None)
decided: Final = tuple(_decide(candidate, model) for model in (with_base, bare))
for response in decided:
assert response.status_code == 200, response.text
assert response.json() == _SYSTEM_ONE_BODY, response.text
assert [(call["path"], call["authorization"]) for call in _upstream_calls(candidate, handle)] == [
(f"/{handle.scenario_id}{_ROUTE}", f"Bearer {_ENV_KEY}"),
(environment_path, f"Bearer {_ENV_KEY}"),
]
for response, model in zip(decided, (with_base, bare)):
row: Final = _spend_row(response.headers["x-litellm-call-id"])
assert (row["status"], row["model_group"], _number(row["spend"])) == ("success", model, 0.0), row
assert (
_spend_row(decided[1].headers["x-litellm-call-id"])["api_base"]
== f"{handle.api_base()}/environment-workspace{_ROUTE}"
)
router: Final = _router(scenario, _environment_classifier())
routed: Final = _chat(candidate, router)
_assert_classified_by_the_complex_tier(routed, router)
(judge_call,) = _upstream_calls(candidate, handle)
_assert_classifier_call(
judge_call,
path=environment_path,
authorization=f"Bearer {_ENV_KEY}",
prompt_marker="design a distributed cache",
)
team: Final = scenario.team(team_member_permissions=["/auto_router/manage"])
member: Final = scenario.member(team)
member_key: Final = scenario.key(user_id=member, team_id=team)
simple: Final = scenario.model(model="openai/simple-tier")
complex_: Final = scenario.model(model="openai/complex-tier")
team_router: Final = f"team-router-{uuid.uuid4().hex[:8]}"
created: Final = candidate.request(
"POST",
"/model/new",
{
"model_name": team_router,
"litellm_params": {
"model": "auto_router/complexity_router",
"complexity_router_config": _router_config(_environment_classifier(), simple, complex_),
},
"model_info": {"team_id": team},
},
key=member_key,
)
assert created.status_code == 200, created.text
team_router_id: Final = string_value(object_value(object_value(created.json())["model_info"])["id"])
scenario.cleanups.callback(scenario.delete_model, team_router_id)
stored: Final = candidate.request("GET", "/model/info", params={"litellm_model_id": team_router_id})
assert stored.status_code == 200, stored.text
(entry,) = stored.json()["data"]
stored_classifier: Final = object_value(
object_value(object_value(object_value(entry)["litellm_params"])["complexity_router_config"])[
"opensource_classifier_config"
]
)
assert (stored_classifier["provider"], stored_classifier["model"]) == ("databricks", _MODEL), entry
assert "api_key" not in stored_classifier and "api_base" not in stored_classifier, entry
member_chat: Final = _chat(candidate, team_router, key=member_key)
_assert_classified_by_the_complex_tier(member_chat, team_router)
(member_judge_call,) = _upstream_calls(candidate, handle)
_assert_classifier_call(
member_judge_call,
path=environment_path,
authorization=f"Bearer {_ENV_KEY}",
prompt_marker="design a distributed cache",
)
@pytest.mark.timeout(_OWNED_PROXY_BUDGET)
def test_the_environment_token_serves_a_deployment_and_a_classifier_when_no_environment_key_is_set(
gateway: Gateway, tmp_path: Path
) -> None:
with gateway.scenario() as rig_scenario:
handle: Final = _register(rig_scenario, _AI_DECIDE_BODY)
environment_path: Final = f"/{handle.scenario_id}/environment-workspace{_ROUTE}"
environment: Final = {
"DATABRICKS_TOKEN": _ENV_TOKEN,
"DATABRICKS_API_BASE": f"{handle.api_base()}/environment-workspace/serving-endpoints",
}
with (
owned_proxy_process(gateway, tmp_path, environment, remove_environment=("DATABRICKS_API_KEY",)) as owned,
owned.gateway.scenario() as scenario,
):
candidate: Final = owned.gateway
bare: Final = scenario.model(model=f"databricks/{_MODEL}", api_base=None, api_key=None)
decided: Final = _decide(candidate, bare)
assert decided.status_code == 200, decided.text
assert decided.json() == _SYSTEM_ONE_BODY, decided.text
(decision_call,) = _upstream_calls(candidate, handle)
assert (decision_call["path"], decision_call["authorization"]) == (environment_path, f"Bearer {_ENV_TOKEN}")
assert _spend_row(decided.headers["x-litellm-call-id"])["status"] == "success"
router: Final = _router(scenario, _environment_classifier())
routed: Final = _chat(candidate, router)
_assert_classified_by_the_complex_tier(routed, router)
(judge_call,) = _upstream_calls(candidate, handle)
_assert_classifier_call(
judge_call,
path=environment_path,
authorization=f"Bearer {_ENV_TOKEN}",
prompt_marker="design a distributed cache",
)
def test_a_megabyte_model_name_is_refused_in_linear_time_while_liveliness_stays_up(gateway: Gateway) -> None:
with gateway.scenario() as scenario:
handle: Final = _register(scenario, _AI_DECIDE_BODY)
prefix: Final = _wildcard_deployment(scenario, api_base=handle.api_base(), api_key=_API_KEY)
model: Final = f"{prefix}/{_MEGABYTE_NAME}"
anonymous: Final = gateway.client.post(
"/v1/systemone", json={"model": model, "state": _STATE, "questions": _QUESTIONS}
)
assert anonymous.status_code == 401, anonymous.text[:300]
tenth_response, tenth_elapsed = _timed_decide(gateway, f"{prefix}/{_TENTH_MEGABYTE_NAME}")
liveliness: Final[list[tuple[int, float]]] = []
stop: Final = threading.Event()
def poll() -> None:
while not stop.is_set():
started: Final = time.perf_counter()
probe: Final = gateway.client.get("/health/liveliness")
liveliness.append((probe.status_code, time.perf_counter() - started))
poller: Final = threading.Thread(target=poll)
poller.start()
response, elapsed = _timed_decide(gateway, model)
stop.set()
poller.join()
assert tenth_response.status_code == 400, tenth_response.text[:300]
assert elapsed < 25 * tenth_elapsed, (elapsed, tenth_elapsed)
assert liveliness and all(status == 200 for status, _ in liveliness), liveliness
assert max(seconds for _, seconds in liveliness) < max(1.0, elapsed / 2), (elapsed, liveliness)
assert response.status_code == 400, response.text[:300]
assert _MODEL_RULE in response.text, response.text[:400]
assert _upstream_calls(gateway, handle) == []
row: Final = _spend_row(response.headers["x-litellm-call-id"])
assert (row["status"], row["call_type"], _number(row["spend"])) == ("failure", "asystemone", 0.0), row
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