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114 lines
3.6 KiB
Python
114 lines
3.6 KiB
Python
"""tool_use x Anthropic.
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Drive the real `claude` CLI against a running LiteLLM proxy that routes
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to Anthropic, ask Claude to invoke a built-in tool (`Bash`), and assert
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that the upstream returned a `tool_use` content block. This proves the
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proxy preserves Claude Code's tool-call wire shape end-to-end.
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The (feature, provider) for this cell is inferred from the file path by
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`tests/claude_code/conftest.py`:
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tests/claude_code/tool_use/test_anthropic.py
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^^^^^^^^ ^^^^^^^^^
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feature_id provider
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"""
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from __future__ import annotations
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import os
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from typing import Any, Mapping, Sequence
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import pytest
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from tests.claude_code.cli_driver import ClaudeCLIError, failure_diagnostic, run_claude
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PROXY_BASE_URL_ENV = "LITELLM_PROXY_BASE_URL"
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PROXY_API_KEY_ENV = "LITELLM_PROXY_API_KEY"
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ANTHROPIC_MODELS = [
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"claude-haiku-4-5",
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"claude-sonnet-4-6",
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"claude-opus-4-7",
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]
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# Built-in tool-use prompt: ask Claude to use the `Bash` tool. The CLI
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# allow-lists the tool via `--allowed-tools` so the run completes without
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# an interactive permission prompt.
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TOOL_USE_PROMPT = (
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"Use the Bash tool to run the command `echo pong` and report what it printed."
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)
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TOOL_USE_ARGS = ["--allowed-tools", "Bash"]
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def _has_tool_use_event(events: Sequence[Mapping[str, Any]]) -> bool:
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"""Walk the stream-json events and return True if any assistant
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message included a `tool_use` content block."""
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for event in events:
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if event.get("type") != "assistant":
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continue
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message = event.get("message") or {}
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content = message.get("content")
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if not isinstance(content, list):
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continue
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for block in content:
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if isinstance(block, dict) and block.get("type") == "tool_use":
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return True
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return False
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@pytest.mark.parametrize("model", ANTHROPIC_MODELS)
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def test_tool_use_anthropic(compat_result, model):
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"""Drive the `claude` CLI against the LiteLLM proxy and assert a
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tool call was emitted on the wire."""
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base_url = os.environ.get(PROXY_BASE_URL_ENV)
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api_key = os.environ.get(PROXY_API_KEY_ENV)
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if not base_url or not api_key:
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compat_result.set(
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{
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"status": "fail",
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"error": (
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f"missing required env: set {PROXY_BASE_URL_ENV} and "
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f"{PROXY_API_KEY_ENV} to point at a running LiteLLM proxy"
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),
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}
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)
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pytest.fail(
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f"{PROXY_BASE_URL_ENV} / {PROXY_API_KEY_ENV} not configured", pytrace=False
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)
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try:
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result = run_claude(
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prompt=TOOL_USE_PROMPT,
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model=model,
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base_url=base_url,
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api_key=api_key,
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extra_args=TOOL_USE_ARGS,
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)
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except ClaudeCLIError as exc:
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compat_result.set({"status": "fail", "error": f"[{model}] {exc}"})
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pytest.fail(str(exc), pytrace=False)
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return
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if result.exit_code != 0:
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compat_result.set(
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{
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"status": "fail",
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"error": f"[{model}] claude CLI failed: {failure_diagnostic(result)}",
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}
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)
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pytest.fail(
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f"[{model}] claude CLI failed: {failure_diagnostic(result)}", pytrace=False
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)
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return
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if not _has_tool_use_event(result.events):
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compat_result.set(
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{
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"status": "fail",
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"error": f"[{model}] no tool_use content block observed in stream-json events",
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}
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)
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pytest.fail(f"no tool_use for {model}", pytrace=False)
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return
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compat_result.set({"status": "pass"})
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