litellm/tests/e2e/claude_code/tool_use/test_anthropic.py
devin-ai-integration[bot] 56f4dbf60a
test(claude_code): move the Claude Code compatibility matrix under tests/e2e (#32548)
* test(claude_code): move the Claude Code compatibility matrix under tests/e2e

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

* ci(claude_code): drop the CircleCI compat PR gate; the matrix runs in the scheduled e2e suite instead

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

* ci: restore the upload-coverage job dropped by mistake with the compat gate

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

* fix(e2e/claude_code): print rate-limit summary on failed compat runs and fix stale run_daily.sh header comments

* test(claude_code): assert fine-grained tool streaming via input_json_delta instead of an event-count floor

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>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-07-14 19:19:03 -07:00

129 lines
4.3 KiB
Python

"""tool_use x Anthropic.
Drive the real `claude` CLI against a running LiteLLM proxy that routes
to Anthropic, ask Claude to invoke a built-in tool (`Bash`), and assert
that the upstream returned a `tool_use` content block. This proves the
proxy preserves Claude Code's tool-call wire shape end-to-end.
The (feature, provider) for this cell is inferred from the file path by
`tests/e2e/claude_code/conftest.py`:
tests/e2e/claude_code/tool_use/test_anthropic.py
^^^^^^^^ ^^^^^^^^^
feature_id provider
"""
from __future__ import annotations
import os
from typing import Any, Mapping, Sequence
import pytest
from claude_code.cli_driver import (
ClaudeCLIError,
failure_diagnostic,
run_claude_models_parallel,
)
PROXY_BASE_URL_ENV = "LITELLM_PROXY_BASE_URL"
PROXY_API_KEY_ENV = "LITELLM_PROXY_API_KEY"
ANTHROPIC_MODELS = [
"claude-haiku-4-5",
"claude-sonnet-4-6",
"claude-opus-4-7",
]
# Built-in tool-use prompt: ask Claude to use the `Bash` tool. The CLI
# allow-lists the tool via `--allowed-tools` so the run completes without
# an interactive permission prompt.
TOOL_USE_PROMPT = (
"Use the Bash tool to run the command `echo pong` and report what it printed."
)
# Restrict the Bash tool to the exact command `echo pong` and put the
# CLI in `dontAsk` mode so anything else the model returns is auto-
# denied instead of executed. `dontAsk` mode in headless `--print` mode
# only runs tools matching an explicit `allow` rule (plus the built-in
# read-only set), so a compromised provider response cannot turn the
# `Bash` allowlist into arbitrary host execution (which would expose
# `docker inspect compat-proxy` / `/proc/<proxy_pid>/environ` and
# thereby provider credentials living in the proxy container).
TOOL_USE_ARGS = [
"--allowed-tools",
"Bash(echo pong)",
"--permission-mode",
"dontAsk",
]
def _has_tool_use_event(events: Sequence[Mapping[str, Any]]) -> bool:
"""Walk the stream-json events and return True if any assistant
message included a `tool_use` content block."""
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") == "tool_use":
return True
return False
def test_tool_use_anthropic(compat_result):
"""Drive the `claude` CLI against the LiteLLM proxy and assert a
tool call was emitted on the wire."""
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
)
outcomes = run_claude_models_parallel(
models=ANTHROPIC_MODELS,
prompt=TOOL_USE_PROMPT,
base_url=base_url,
api_key=api_key,
extra_args=TOOL_USE_ARGS,
)
failures = []
for model in ANTHROPIC_MODELS:
outcome = outcomes[model]
if isinstance(outcome, ClaudeCLIError):
error = f"[{model}] {outcome}"
compat_result.add({"status": "fail", "error": error})
failures.append(error)
continue
if outcome.exit_code != 0:
error = f"[{model}] claude CLI failed: {failure_diagnostic(outcome)}"
compat_result.add({"status": "fail", "error": error})
failures.append(error)
continue
if not _has_tool_use_event(outcome.events):
error = (
f"[{model}] no tool_use content block observed in stream-json events"
)
compat_result.add({"status": "fail", "error": error})
failures.append(error)
continue
compat_result.add({"status": "pass"})
if failures:
pytest.fail("; ".join(failures), pytrace=False)