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13ecf55cd0
OpenAI GPT-5.6 Claude Code cells burn minutes on CLI timeouts under the full stage suite; gate them behind COMPAT_OPENAI_GPT_CELLS=1 like Mantle. Multi-window budget e2e used max_tokens=1 which gpt-5.5 rejects mid-message
110 lines
3.4 KiB
Python
110 lines
3.4 KiB
Python
"""tool_use x OpenAI (GPT-5.6).
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Drive the real `claude` CLI against a running LiteLLM proxy that
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routes Anthropic Messages requests to OpenAI's GPT-5.6 family (Sol,
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Terra, Luna), ask the model to invoke a built-in tool (`Bash`), and
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assert that a `tool_use` content block came back over the wire.
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Claude Code declares its tools in Anthropic `tools` format; LiteLLM's
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`openai/gpt-*` route translates them to OpenAI function calling and
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maps the returned `tool_calls` back to Anthropic `tool_use` blocks, so
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this cell exercises the tool-schema translation in both directions.
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Bash is restricted to the exact command `echo pong` plus
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`--permission-mode dontAsk`; see `tool_use/test_anthropic.py` for the
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security rationale.
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The (feature, provider) for this cell is inferred from the file path by
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`tests/e2e/claude_code/conftest.py`:
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tests/e2e/claude_code/tool_use/test_openai.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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from typing import Any, Mapping, Sequence
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import pytest
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from claude_code._env import require_proxy
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from claude_code._gpt_cells import skip_unless_openai_gpt_cells_enabled
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from claude_code.cli_driver import (
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ClaudeCLIError,
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failure_diagnostic,
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run_claude_models_parallel,
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)
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OPENAI_MODELS = [
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"gpt-5-6-sol-openai",
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"gpt-5-6-terra-openai",
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"gpt-5-6-luna-openai",
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]
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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 = [
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"--allowed-tools",
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"Bash(echo pong)",
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"--permission-mode",
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"dontAsk",
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]
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def _has_tool_use_event(events: Sequence[Mapping[str, Any]]) -> bool:
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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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def test_tool_use_openai(compat_result):
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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 by each GPT-5.6 tier."""
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skip_unless_openai_gpt_cells_enabled()
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proxy = require_proxy(compat_result)
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outcomes = run_claude_models_parallel(
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models=OPENAI_MODELS,
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prompt=TOOL_USE_PROMPT,
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base_url=proxy.base_url,
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api_key=proxy.api_key,
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extra_args=TOOL_USE_ARGS,
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)
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failures = []
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for model in OPENAI_MODELS:
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outcome = outcomes[model]
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if isinstance(outcome, ClaudeCLIError):
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error = f"[{model}] {outcome}"
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compat_result.add({"status": "fail", "error": error})
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failures.append(error)
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continue
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if outcome.exit_code != 0:
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error = f"[{model}] claude CLI failed: {failure_diagnostic(outcome)}"
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compat_result.add({"status": "fail", "error": error})
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failures.append(error)
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continue
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if not _has_tool_use_event(outcome.events):
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error = (
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f"[{model}] no tool_use content block observed in stream-json events"
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)
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compat_result.add({"status": "fail", "error": error})
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failures.append(error)
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continue
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compat_result.add({"status": "pass"})
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if failures:
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pytest.fail("; ".join(failures), pytrace=False)
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