litellm/tests/unit/decisions/test_main.py
devin-ai-integration[bot] 8b1990b4bc
feat(decisions): add unified /v1/decisions endpoint for Jev-compatible providers (#44236)
* feat(decisions): add unified /v1/decisions endpoint for Jev-compatible providers

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

* fix(decisions): register typesafe as a provider so Jev deployments load

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

* refactor(decisions): move provider endpoints under llms and validate proxy bodies

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

* feat(decisions): add Cloudflare Clef and Strands Decider backends

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

* fix(decisions): register decisions routes for managed agents and gateway

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

* test(decisions): use raw regex for cloudflare missing account match

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

* fix(decisions): avoid cast in Cloudflare response unwrapping

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

* fix(decisions): default model, evaluation health probe, short Cloudflare names

The proxy validates only state and questions, so a request without a
model falls through to the configured default model like every other
route. Health checks probe evaluation-mode deployments through the
Decisions API instead of failing with an unsupported mode, and
cloudflare/clef and cloudflare/clef-flash get cost-map rows so the short
names resolve a mode and a price. The registry no longer claims typed
decisions for a provider with no backend.

* fix(decisions): let health_check_params override the evaluation probe

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

* test(integration): audit the decisions endpoint across providers, limits, health and chaos

Adds the /v1/decisions audit cells: one wire contract per provider (path, key, body and cost-map billing), the gateway-only fields and tags, the sad paths (invalid bodies, unknown model, key checks, api_base in the body, upstream 401/429/500, a 200 without answers, an unreachable upstream), the two evaluation-mode health probes, and three chaos cells (a mixed-failure burst over both routes, a worker SIGKILL mid-burst, an upstream outage and restart on the same port).

The PR's cost case read the upstream observations through the gateway, which answers 404 for that path; it now reads them from the upstream URL. The owned proxy harness takes extra CLI arguments, and its graceful stop waits as long as a worker boot may take, since a worker still starting honors SIGTERM only once it is up and the 30 second wait forced a cleanup under load.

* fix(decisions): send env API keys to a configured api_base

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

* feat(decisions): add zero-cost evaluation cost-map entry for Strands Decider

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

* fix(decisions): register the routes through the lazy feature registry

The Decisions router was included at import, ahead of the config and DB
pass-through endpoints, so a pass-through configured at /v1/decisions
was skipped and answered 400 as an unknown Decisions provider. The
routes now register through LAZY_FEATURES, which splices them in after
every eager route, so a pass-through at /v1/decisions keeps its route
while /decisions still serves natively. The lazy OpenAPI snapshot carries
the two paths so the schema shows them before the first call.

The audit cells add the env-key egress to a configured api_base, the
client api_base opt-in shared with chat, the pass-through precedence on
an owned proxy, and the Strands evaluation health check resolved from
the cost map. The integration config exports the Perplexity env key the
first cell needs.

* fix(decisions): keep the Cloudflare api_base message in its transformation and read the audit upstream once per cell

* fix(proxy): let a config pass-through beat a lazily registered route in eager mode

With LITELLM_DISABLE_LAZY_ROUTES set the decisions routes are registered at
startup, so SafeRouteAdder treated a config pass-through at exactly
/v1/decisions as already registered and dropped it. In lazy mode a pass-through
created through the API after the first native call was skipped the same way.
Routes a lazy feature owns no longer count as registered, and a route added at
one of their paths is placed ahead of them, the precedence lazy mode gives a
config pass-through when the feature has not loaded yet.

---------

Co-authored-by: mateo <mateo@berri.ai>
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>
2026-10-03 17:38:38 +00:00

592 lines
21 KiB
Python

from __future__ import annotations
import asyncio
import json
from collections.abc import Mapping
from types import MappingProxyType
from typing import Final
import pytest
import respx
import litellm
from litellm.integrations.custom_logger import CustomLogger
from litellm.litellm_core_utils.logging_worker import GLOBAL_LOGGING_WORKER
from litellm.types.decisions import (
ChoiceAnswer,
DecisionsResponse,
DecisionsUsage,
NoulAnswer,
ScoreAnswer,
)
_QUESTIONS: Final[Mapping[str, object]] = MappingProxyType(
{
"is_defect": {"type": "noul", "instructions": "Is this a defect?", "provider_field": "kept"},
"sentiment": {"type": "choice", "criteria": {"positive": None, "negative": "unhappy"}},
"severity": {"type": "score", "criteria": ["none", "low", "high"]},
}
)
_INPUT_TOKENS: Final[int] = 367
_OUTPUT_TOKENS: Final[int] = 3
_RESPONSE: Final[Mapping[str, object]] = {
"model": "jev-1.13",
"answers": {
"is_defect": {"type": "noul", "noul": 0.9},
"sentiment": {
"type": "choice",
"choice": "positive",
"confidence": 0.8,
"probabilities": {"positive": 0.8, "negative": 0.2},
},
"severity": {
"type": "score",
"score": 1,
"confidence": 0.7,
"legend": {"0": "none", "1": "low", "2": "high"},
"probabilities": {"0": 0.1, "1": 0.8, "2": 0.1},
},
},
"usage": {"input_tokens": _INPUT_TOKENS, "output_tokens": _OUTPUT_TOKENS},
}
_STRANDS_RESPONSE: Final[Mapping[str, object]] = {
"model": "strands-decider-2B-hobson-v19",
"answers": {
"severity": {
"type": "score",
"score": 1,
"confidence": 0.7,
"legend": {"0": "none", "1": "low", "2": "high"},
"probabilities": {"0": 0.1, "1": 0.8, "2": 0.1},
}
},
"usage": {"input_tokens": 216, "output_tokens": 3},
"latency_ms": 3722.17,
}
_PROVIDERS: Final[tuple[tuple[str, str, str, str], ...]] = (
(
"perplexity",
"perplexity/pplx-decider-v1-27b",
"https://api.perplexity.ai/v1/decisions",
"pplx-decider-v1-27b",
),
("typesafe", "typesafe/jev-1.13", "https://api.typesafe.ai/v1/systemone", "jev-1.13"),
(
"openrouter",
"openrouter/typesafe/jev-1.13",
"https://openrouter.ai/api/alpha/decisions",
"typesafe/jev-1.13",
),
)
class _RecordingLogger(CustomLogger):
def __init__(self) -> None:
super().__init__()
self.standard_logging_object: Mapping[str, object] | None = None
async def async_log_success_event(
self,
kwargs: Mapping[str, object],
response_obj: object,
start_time: object,
end_time: object,
) -> None:
standard_logging_object: Final = kwargs.get("standard_logging_object")
if isinstance(standard_logging_object, dict):
self.standard_logging_object = standard_logging_object
async def _drain_logging_worker() -> None:
await asyncio.sleep(0)
GLOBAL_LOGGING_WORKER.start()
await asyncio.wait_for(GLOBAL_LOGGING_WORKER.flush(), timeout=10.0)
@pytest.fixture(autouse=True)
def _httpx_transport(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
litellm.in_memory_llm_clients_cache.flush_cache()
@pytest.mark.asyncio
@pytest.mark.parametrize(("provider", "model", "url", "upstream_model"), _PROVIDERS)
async def test_adecisions_sends_the_provider_wire_contract(
provider: str,
model: str,
url: str,
upstream_model: str,
respx_mock: respx.MockRouter,
) -> None:
route: Final = respx_mock.post(url).respond(json=_RESPONSE)
response: Final = await litellm.adecisions(
model=model,
state={"source": "unit-test"},
questions=_QUESTIONS,
api_key="caller-key",
extra_headers={
"x-request-tag": "decisions-test",
"AUTHORIZATION": "attacker-key",
"Content-Type": "text/plain",
},
internal_kwarg="must-not-leak",
)
assert route.called
assert len(respx_mock.calls) == 1
request: Final = respx_mock.calls[0].request
assert request.headers["authorization"] == "Bearer caller-key"
assert request.headers["content-type"] == "application/json"
assert request.headers["x-request-tag"] == "decisions-test"
assert json.loads(request.content) == {
"model": upstream_model,
"state": {"source": "unit-test"},
"questions": {
"is_defect": {
"type": "noul",
"instructions": "Is this a defect?",
"provider_field": "kept",
},
"sentiment": {"type": "choice", "criteria": {"positive": None, "negative": "unhappy"}},
"severity": {"type": "score", "criteria": ["none", "low", "high"]},
},
}
assert isinstance(response.answers["is_defect"], NoulAnswer)
assert isinstance(response.answers["sentiment"], ChoiceAnswer)
assert isinstance(response.answers["severity"], ScoreAnswer)
assert response._hidden_params["custom_llm_provider"] == provider
@pytest.mark.asyncio
async def test_router_dispatches_typesafe_decisions_without_api_base(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.delenv("TYPESAFE_API_KEY", raising=False)
monkeypatch.delenv("TYPESAFE_API_BASE", raising=False)
provider_resolution: Final = litellm.get_llm_provider("typesafe/jev-latest")
assert provider_resolution[:2] == ("jev-latest", "typesafe")
router: Final = litellm.Router(
model_list=[
{
"model_name": "jev",
"litellm_params": {
"model": "typesafe/jev-latest",
"api_key": "k",
},
}
]
)
upstream: Final = respx_mock.post("https://api.typesafe.ai/v1/systemone").respond(json=_RESPONSE)
response: Final = await router.adecisions(
model="jev",
state="router-test",
questions={
"sentiment": {
"type": "choice",
"criteria": {"positive": None, "negative": "unhappy"},
}
},
)
assert upstream.called
assert len(respx_mock.calls) == 1
assert json.loads(respx_mock.calls[0].request.content) == {
"model": "jev-latest",
"state": "router-test",
"questions": {
"sentiment": {
"type": "choice",
"criteria": {"positive": None, "negative": "unhappy"},
}
},
}
assert respx_mock.calls[0].request.headers["authorization"] == "Bearer k"
assert isinstance(response.answers["sentiment"], ChoiceAnswer)
assert response.answers["sentiment"].choice == "positive"
def test_decisions_uses_the_same_wire_contract_for_sync_calls(respx_mock: respx.MockRouter) -> None:
route: Final = respx_mock.post("https://api.perplexity.ai/v1/decisions").respond(json=_RESPONSE)
response: Final = litellm.decisions(
model="perplexity/pplx-decider-v1-27b",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
api_key="caller-key",
)
assert route.called
assert response.model == "jev-1.13"
def test_openrouter_response_keeps_provider_fields(respx_mock: respx.MockRouter) -> None:
payload: Final = {
**_RESPONSE,
"id": "decision-1",
"provider": "typesafe",
"usage": {**_RESPONSE["usage"], "cost": 0.25},
}
respx_mock.post("https://openrouter.ai/api/alpha/decisions").respond(json=payload)
response: Final = litellm.decisions(
model="openrouter/typesafe/jev-1.13",
state="review",
questions=_QUESTIONS,
api_key="caller-key",
)
assert response.model_extra["id"] == "decision-1"
assert response.model_extra["provider"] == "typesafe"
assert response.usage is not None
assert response.usage.model_extra["cost"] == 0.25
def test_decisions_cost_uses_litellm_token_pricing() -> None:
response: Final = DecisionsResponse(
model="pplx-decider-v1-27b",
answers={},
usage=DecisionsUsage(input_tokens=_INPUT_TOKENS, output_tokens=_OUTPUT_TOKENS),
)
response._hidden_params = {
"model": "perplexity/pplx-decider-v1-27b",
"custom_llm_provider": "perplexity",
}
cost: Final = litellm.completion_cost(completion_response=response)
perplexity_cost: Final = litellm.model_cost["perplexity/pplx-decider-v1-27b"]
expected_cost: Final = _INPUT_TOKENS * float(perplexity_cost["input_cost_per_token"]) + _OUTPUT_TOKENS * float(
perplexity_cost["output_cost_per_token"]
)
assert expected_cost > 0
assert cost == pytest.approx(expected_cost)
@pytest.mark.asyncio
async def test_decisions_cost_is_in_standard_logging_object(respx_mock: respx.MockRouter) -> None:
respx_mock.post("https://api.perplexity.ai/v1/decisions").respond(json=_RESPONSE)
recording_logger: Final = _RecordingLogger()
original_callbacks: Final = litellm.callbacks
litellm.callbacks = [recording_logger]
try:
await litellm.adecisions(
model="perplexity/pplx-decider-v1-27b",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
api_key="caller-key",
)
await _drain_logging_worker()
finally:
litellm.callbacks = original_callbacks
assert recording_logger.standard_logging_object is not None
perplexity_cost: Final = litellm.model_cost["perplexity/pplx-decider-v1-27b"]
expected_cost: Final = _INPUT_TOKENS * float(perplexity_cost["input_cost_per_token"]) + _OUTPUT_TOKENS * float(
perplexity_cost["output_cost_per_token"]
)
assert expected_cost > 0
assert recording_logger.standard_logging_object["response_cost"] == pytest.approx(expected_cost)
assert recording_logger.standard_logging_object["prompt_tokens"] == _INPUT_TOKENS
assert recording_logger.standard_logging_object["completion_tokens"] == _OUTPUT_TOKENS
@pytest.mark.asyncio
async def test_unknown_provider_is_rejected_before_http(respx_mock: respx.MockRouter) -> None:
with pytest.raises(litellm.BadRequestError, match="Supported providers"):
await litellm.adecisions(
model="unknown/jev-1.13",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
api_key="caller-key",
)
assert len(respx_mock.calls) == 0
@pytest.mark.asyncio
async def test_empty_custom_provider_is_rejected_before_http(respx_mock: respx.MockRouter) -> None:
with pytest.raises(litellm.BadRequestError, match="Supported providers"):
await litellm.adecisions(
model="perplexity/pplx-decider-v1-27b",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
api_key="caller-key",
custom_llm_provider="",
)
assert len(respx_mock.calls) == 0
@pytest.mark.asyncio
async def test_invalid_question_is_rejected_before_http(respx_mock: respx.MockRouter) -> None:
with pytest.raises(litellm.BadRequestError, match="Invalid Decisions request"):
await litellm.adecisions(
model="perplexity/pplx-decider-v1-27b",
state="review",
questions={"sentiment": {"type": "choice"}},
api_key="caller-key",
)
assert len(respx_mock.calls) == 0
def test_upstream_bad_request_maps_to_litellm_error(respx_mock: respx.MockRouter) -> None:
respx_mock.post("https://api.perplexity.ai/v1/decisions").respond(
status_code=400,
json={"error": {"message": "invalid decision"}},
)
with pytest.raises(litellm.BadRequestError):
litellm.decisions(
model="perplexity/pplx-decider-v1-27b",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
api_key="caller-key",
)
def test_server_key_is_sent_to_an_explicit_api_base(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.setenv("PERPLEXITYAI_API_KEY", "server-key")
monkeypatch.delenv("PERPLEXITY_API_KEY", raising=False)
route: Final = respx_mock.post("https://egress.example/perplexity/v1/decisions").respond(json=_RESPONSE)
litellm.decisions(
model="perplexity/pplx-decider-v1-27b",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
api_base="https://egress.example/perplexity",
)
assert route.call_count == 1
assert route.calls[0].request.headers["authorization"] == "Bearer server-key"
@pytest.mark.asyncio
@pytest.mark.parametrize("model", ("cloudflare/clef", "cloudflare/@cf/cloudflare/clef"))
@pytest.mark.parametrize("wrapped", (False, True))
async def test_cloudflare_clef_resolves_model_and_response_envelope(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
model: str,
wrapped: bool,
) -> None:
monkeypatch.setenv("CLOUDFLARE_ACCOUNT_ID", "acct")
monkeypatch.setenv("CLOUDFLARE_API_KEY", "cloudflare-key")
monkeypatch.delenv("CLOUDFLARE_API_BASE", raising=False)
response_body: Final[Mapping[str, object]] = (
{"result": _RESPONSE, "success": True, "errors": [], "messages": []} if wrapped else _RESPONSE
)
route: Final = respx_mock.post(
"https://api.cloudflare.com/client/v4/accounts/acct/ai/run/@cf/cloudflare/clef"
).respond(json=response_body)
response: Final = await litellm.adecisions(
model=model,
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
)
assert route.called
request: Final = respx_mock.calls[0].request
assert request.headers["authorization"] == "Bearer cloudflare-key"
assert json.loads(request.content) == {
"model": "clef",
"state": "review",
"questions": {"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
}
assert response.answers == DecisionsResponse.model_validate(_RESPONSE).answers
assert response._hidden_params["model"] == "cloudflare/@cf/cloudflare/clef"
@pytest.mark.asyncio
async def test_cloudflare_clef_flash_uses_flash_endpoint_and_request_model(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.setenv("CLOUDFLARE_ACCOUNT_ID", "acct")
monkeypatch.setenv("CLOUDFLARE_API_KEY", "cloudflare-key")
monkeypatch.delenv("CLOUDFLARE_API_BASE", raising=False)
route: Final = respx_mock.post(
"https://api.cloudflare.com/client/v4/accounts/acct/ai/run/@cf/cloudflare/clef-flash"
).respond(json=_RESPONSE)
await litellm.adecisions(
model="cloudflare/clef-flash",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
)
assert route.called
assert json.loads(respx_mock.calls[0].request.content)["model"] == "clef-flash"
@pytest.mark.asyncio
async def test_cloudflare_api_base_from_env_uses_workers_ai_run_path(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.setenv("CLOUDFLARE_API_BASE", "https://api.cloudflare.com/client/v4/accounts/acct/ai/v1")
monkeypatch.setenv("CLOUDFLARE_API_KEY", "cloudflare-key")
monkeypatch.delenv("CLOUDFLARE_ACCOUNT_ID", raising=False)
route: Final = respx_mock.post(
"https://api.cloudflare.com/client/v4/accounts/acct/ai/run/@cf/cloudflare/clef"
).respond(json=_RESPONSE)
await litellm.adecisions(
model="cloudflare/clef",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
)
assert route.called
@pytest.mark.asyncio
async def test_cloudflare_requires_account_id_or_api_base_before_http(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.delenv("CLOUDFLARE_ACCOUNT_ID", raising=False)
monkeypatch.delenv("CLOUDFLARE_API_BASE", raising=False)
monkeypatch.setenv("CLOUDFLARE_API_KEY", "cloudflare-key")
with pytest.raises(litellm.BadRequestError, match="Missing CLOUDFLARE_ACCOUNT_ID - set CLOUDFLARE_ACCOUNT_ID"):
await litellm.adecisions(
model="cloudflare/clef",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
)
assert len(respx_mock.calls) == 0
@pytest.mark.asyncio
async def test_cloudflare_clef_cost_uses_the_model_cost_map(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.setenv("CLOUDFLARE_ACCOUNT_ID", "acct")
monkeypatch.setenv("CLOUDFLARE_API_KEY", "cloudflare-key")
monkeypatch.delenv("CLOUDFLARE_API_BASE", raising=False)
respx_mock.post("https://api.cloudflare.com/client/v4/accounts/acct/ai/run/@cf/cloudflare/clef").respond(
json=_RESPONSE
)
response: Final = await litellm.adecisions(
model="cloudflare/clef",
state="review",
questions={"is_defect": {"type": "noul", "instructions": "Is this a defect?"}},
)
cost: Final = litellm.completion_cost(completion_response=response)
clef_cost: Final = litellm.model_cost["cloudflare/@cf/cloudflare/clef"]
expected_cost: Final = _INPUT_TOKENS * float(clef_cost["input_cost_per_token"]) + _OUTPUT_TOKENS * float(
clef_cost["output_cost_per_token"]
)
assert expected_cost > 0
assert cost == pytest.approx(expected_cost)
@pytest.mark.asyncio
async def test_strands_decider_requires_api_base_before_http(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.delenv("STRANDS_DECIDER_API_BASE", raising=False)
monkeypatch.delenv("STRANDS_DECIDER_API_KEY", raising=False)
with pytest.raises(litellm.BadRequestError, match="api_base is required"):
await litellm.adecisions(
model="strands_decider/strands-decider-2B-hobson-v19",
state="review",
questions={"severity": {"type": "score", "criteria": ["none", "low", "high"]}},
)
assert len(respx_mock.calls) == 0
@pytest.mark.asyncio
async def test_strands_decider_without_key_preserves_response_extras(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.delenv("STRANDS_DECIDER_API_BASE", raising=False)
monkeypatch.delenv("STRANDS_DECIDER_API_KEY", raising=False)
route: Final = respx_mock.post("https://strands.example/v1/systemone").respond(json=_STRANDS_RESPONSE)
response: Final = await litellm.adecisions(
model="strands_decider/strands-decider-2B-hobson-v19",
state="review",
questions={"severity": {"type": "score", "criteria": ["none", "low", "high"]}},
api_base="https://strands.example",
)
assert route.called
assert "authorization" not in respx_mock.calls[0].request.headers
assert response.model_extra["latency_ms"] == _STRANDS_RESPONSE["latency_ms"]
severity: Final = response.answers["severity"]
assert isinstance(severity, ScoreAnswer)
assert severity.legend == {"0": "none", "1": "low", "2": "high"}
@pytest.mark.asyncio
async def test_strands_decider_uses_key_from_matching_environment_base(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.setenv("STRANDS_DECIDER_API_BASE", "https://strands.example")
monkeypatch.setenv("STRANDS_DECIDER_API_KEY", "strands-key")
route: Final = respx_mock.post("https://strands.example/v1/systemone").respond(json=_STRANDS_RESPONSE)
await litellm.adecisions(
model="strands_decider/strands-decider-2B-hobson-v19",
state="review",
questions={"severity": {"type": "score", "criteria": ["none", "low", "high"]}},
api_base="https://strands.example",
)
assert route.called
assert respx_mock.calls[0].request.headers["authorization"] == "Bearer strands-key"
@pytest.mark.asyncio
async def test_strands_decider_provider_resolution_and_router_dispatch(
monkeypatch: pytest.MonkeyPatch,
respx_mock: respx.MockRouter,
) -> None:
monkeypatch.delenv("STRANDS_DECIDER_API_BASE", raising=False)
monkeypatch.delenv("STRANDS_DECIDER_API_KEY", raising=False)
provider_resolution: Final = litellm.get_llm_provider("strands_decider/strands-decider-2B-hobson-v19")
router: Final = litellm.Router(
model_list=[
{
"model_name": "strands",
"litellm_params": {
"model": "strands_decider/strands-decider-2B-hobson-v19",
"api_base": "https://strands.example",
},
}
]
)
route: Final = respx_mock.post("https://strands.example/v1/systemone").respond(json=_STRANDS_RESPONSE)
response: Final = await router.adecisions(
model="strands",
state="review",
questions={"severity": {"type": "score", "criteria": ["none", "low", "high"]}},
)
assert provider_resolution[:2] == ("strands-decider-2B-hobson-v19", "strands_decider")
assert route.called
assert response.model == _STRANDS_RESPONSE["model"]