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* 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>
112 lines
3.5 KiB
Python
112 lines
3.5 KiB
Python
"""thinking x Bedrock (Invoke).
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Drive the real `claude` CLI against a running LiteLLM proxy that routes
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Claude requests to AWS Bedrock via the legacy `InvokeModel` API path,
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enable extended thinking via `--effort high`, and assert that the
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upstream returned a `thinking` content block.
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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/thinking/test_bedrock_invoke.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 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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PROXY_BASE_URL_ENV = "LITELLM_PROXY_BASE_URL"
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PROXY_API_KEY_ENV = "LITELLM_PROXY_API_KEY"
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BEDROCK_INVOKE_MODELS = [
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"claude-haiku-4-5-bedrock-invoke",
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"claude-sonnet-4-6-bedrock-invoke",
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"claude-opus-4-7-bedrock-invoke",
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]
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THINKING_ARGS = ["--effort", "max"]
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THINKING_PROMPT = (
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"I have a 3-gallon jug and a 5-gallon jug. How can I measure "
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"exactly 4 gallons of water? Think through the steps carefully."
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)
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def _has_thinking_block(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") == "thinking":
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return True
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return False
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def test_thinking_bedrock_invoke(compat_result):
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"""Drive the `claude` CLI against the LiteLLM proxy with thinking
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enabled and assert a `thinking` content block was emitted."""
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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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outcomes = run_claude_models_parallel(
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models=BEDROCK_INVOKE_MODELS,
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prompt=THINKING_PROMPT,
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base_url=base_url,
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api_key=api_key,
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extra_args=THINKING_ARGS,
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)
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failures = []
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for model in BEDROCK_INVOKE_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_thinking_block(outcome.events):
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error = (
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f"[{model}] no `thinking` 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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