litellm/tests/claude_code/extended_thinking/test_azure.py
2026-05-06 23:27:14 +00:00

118 lines
3.8 KiB
Python

"""extended_thinking x Azure (Microsoft Foundry).
Drive the real `claude` CLI against a running LiteLLM proxy that routes
Claude requests to Anthropic's models hosted in Microsoft Foundry on
Azure, enable extended thinking via `MAX_THINKING_TOKENS`, and assert
that the upstream returned a `thinking` content block.
Foundry's Claude deployments advertise `supports_reasoning: true` in
LiteLLM's pricing metadata; the `thinking={"type": "enabled", ...}`
parameter passes through `azure_ai/claude-*` to Foundry's
`/anthropic/v1/messages` endpoint unchanged. Note that
`claude-opus-4-7-preview` documents thinking as not supported on
Foundry; if that lands, this row may flip to a partial pass and we'll
re-evaluate.
The (feature, provider) for this cell is inferred from the file path by
`tests/claude_code/conftest.py`:
tests/claude_code/extended_thinking/test_azure.py
^^^^^^^^^^^^^^^^^ ^^^^^
feature_id provider
"""
from __future__ import annotations
import os
from typing import Any, Mapping, Sequence
import pytest
from tests.claude_code.cli_driver import ClaudeCLIError, failure_diagnostic, run_claude
PROXY_BASE_URL_ENV = "LITELLM_PROXY_BASE_URL"
PROXY_API_KEY_ENV = "LITELLM_PROXY_API_KEY"
AZURE_MODELS = [
"claude-haiku-4-5-azure",
"claude-sonnet-4-6-azure",
"claude-opus-4-7-azure",
]
THINKING_ENV = {"MAX_THINKING_TOKENS": "4096"}
THINKING_PROMPT = (
"Think step by step: if I have three apples and eat two, how many remain? "
"Answer with the single digit only."
)
def _has_thinking_block(events: Sequence[Mapping[str, Any]]) -> bool:
for event in events:
if event.get("type") != "assistant":
continue
message = event.get("message") or {}
content = message.get("content")
if not isinstance(content, list):
continue
for block in content:
if isinstance(block, dict) and block.get("type") == "thinking":
return True
return False
@pytest.mark.parametrize("model", AZURE_MODELS)
def test_extended_thinking_azure(compat_result, model):
"""Drive the `claude` CLI against the LiteLLM proxy with thinking
enabled and assert a `thinking` content block was emitted."""
base_url = os.environ.get(PROXY_BASE_URL_ENV)
api_key = os.environ.get(PROXY_API_KEY_ENV)
if not base_url or not api_key:
compat_result.set(
{
"status": "fail",
"error": (
f"missing required env: set {PROXY_BASE_URL_ENV} and "
f"{PROXY_API_KEY_ENV} to point at a running LiteLLM proxy"
),
}
)
pytest.fail(
f"{PROXY_BASE_URL_ENV} / {PROXY_API_KEY_ENV} not configured", pytrace=False
)
try:
result = run_claude(
prompt=THINKING_PROMPT,
model=model,
base_url=base_url,
api_key=api_key,
extra_env=THINKING_ENV,
)
except ClaudeCLIError as exc:
compat_result.set({"status": "fail", "error": f"[{model}] {exc}"})
pytest.fail(str(exc), pytrace=False)
return
if result.exit_code != 0:
compat_result.set(
{
"status": "fail",
"error": f"[{model}] claude CLI failed: {failure_diagnostic(result)}",
}
)
pytest.fail(
f"[{model}] claude CLI failed: {failure_diagnostic(result)}", pytrace=False
)
return
if not _has_thinking_block(result.events):
compat_result.set(
{
"status": "fail",
"error": f"[{model}] no `thinking` content block observed in stream-json events",
}
)
pytest.fail(f"no thinking block for {model}", pytrace=False)
return
compat_result.set({"status": "pass"})