177 lines
5.8 KiB
Python
177 lines
5.8 KiB
Python
#!/usr/bin/env python3
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from __future__ import annotations
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import argparse
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import json
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import sys
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import uuid
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from typing import Any, Dict
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import requests
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def _post(url: str, api_key: str, session_id: str, payload: Dict[str, Any]) -> Dict[str, Any]:
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response = requests.post(
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url,
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headers={
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"Authorization": f"Bearer {api_key}",
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"Content-Type": "application/json",
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"X-Session-Id": session_id,
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},
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json=payload,
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timeout=180,
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)
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try:
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body = response.json()
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except Exception:
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body = {"raw": response.text}
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if response.status_code >= 400:
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raise RuntimeError(
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f"POST {url} failed with {response.status_code}: {json.dumps(body, ensure_ascii=False)}"
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)
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if not isinstance(body, dict):
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raise RuntimeError(f"Expected JSON object response, got: {body!r}")
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return body
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def _usage_summary(body: Dict[str, Any]) -> Dict[str, Any]:
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usage = body.get("usage")
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if not isinstance(usage, dict):
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return {}
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return usage
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def _cached_tokens(body: Dict[str, Any]) -> int | None:
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usage = _usage_summary(body)
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details = usage.get("input_tokens_details")
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if not isinstance(details, dict):
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return None
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value = details.get("cached_tokens")
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try:
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return int(value)
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except Exception:
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return None
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def _assistant_message_item(body: Dict[str, Any]) -> Dict[str, Any]:
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output = body.get("output")
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if not isinstance(output, list):
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raise RuntimeError("Response did not include an output list.")
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for item in output:
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if isinstance(item, dict) and item.get("type") == "message" and item.get("role") == "assistant":
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return item
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raise RuntimeError("Response did not include an assistant message item.")
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def _user_message(text: str) -> Dict[str, Any]:
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return {
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"type": "message",
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"role": "user",
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"content": [{"type": "input_text", "text": text}],
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}
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def _default_prefix() -> str:
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seed = "Cache test prefix. Repeat this context exactly for cache measurement. "
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return "".join(seed for _ in range(220))
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def main() -> int:
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parser = argparse.ArgumentParser(
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description="Drive two raw /v1/responses turns through ChatMock and check cached input tokens."
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)
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parser.add_argument("--base-url", default="http://127.0.0.1:8000", help="ChatMock base URL.")
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parser.add_argument("--api-key", default="key", help="Bearer token to send to ChatMock.")
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parser.add_argument("--model", default="gpt-5.4", help="Model to request.")
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parser.add_argument(
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"--session-id",
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default=f"cache-check-{uuid.uuid4()}",
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help="Fixed X-Session-Id for both turns.",
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)
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parser.add_argument(
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"--prefix",
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default=_default_prefix(),
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help="Large repeated first-turn prompt prefix.",
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)
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parser.add_argument(
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"--first-question",
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default="Reply with exactly: alpha",
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help="Trailing instruction for the first turn.",
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)
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parser.add_argument(
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"--second-question",
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default="Reply with exactly: beta",
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help="Trailing instruction for the second turn.",
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)
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args = parser.parse_args()
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responses_url = args.base_url.rstrip("/") + "/v1/responses"
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session_id = args.session_id
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first_text = f"{args.prefix}\n\n{args.first_question}"
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second_text = args.second_question
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print(f"Using session id: {session_id}")
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print(f"POST target: {responses_url}")
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print("This checks the raw Responses usage object returned through ChatMock.")
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print()
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first_payload = {
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"model": args.model,
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"store": False,
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"stream": False,
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"input": first_text,
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}
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first_response = _post(responses_url, args.api_key, session_id, first_payload)
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assistant_item = _assistant_message_item(first_response)
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second_payload = {
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"model": args.model,
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"store": False,
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"stream": False,
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"input": [
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_user_message(first_text),
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assistant_item,
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_user_message(second_text),
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],
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}
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second_response = _post(responses_url, args.api_key, session_id, second_payload)
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first_usage = _usage_summary(first_response)
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second_usage = _usage_summary(second_response)
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first_cached = _cached_tokens(first_response)
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second_cached = _cached_tokens(second_response)
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print("Turn 1")
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print(json.dumps(first_usage, indent=2, ensure_ascii=False) if first_usage else " no usage object")
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print()
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print("Turn 2")
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print(json.dumps(second_usage, indent=2, ensure_ascii=False) if second_usage else " no usage object")
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print()
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if second_cached is None:
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first_input_tokens = first_usage.get("input_tokens") if isinstance(first_usage, dict) else None
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second_input_tokens = second_usage.get("input_tokens") if isinstance(second_usage, dict) else None
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print("Result: inconclusive")
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print("Reason: upstream did not include `usage.input_tokens_details.cached_tokens`.")
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if isinstance(first_input_tokens, int) and isinstance(second_input_tokens, int):
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print(f"Observed input_tokens delta: first={first_input_tokens}, second={second_input_tokens}")
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print("Codex treats cached-token reporting as the direct cache-hit signal; without it, this script cannot prove caching.")
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return 2
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if second_cached > 0:
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print(f"Result: success, follow-up turn reported cached_tokens={second_cached}.")
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return 0
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print("Result: failure, follow-up turn reported cached_tokens=0.")
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return 1
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if __name__ == "__main__":
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try:
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raise SystemExit(main())
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except KeyboardInterrupt:
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raise SystemExit(130)
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except Exception as exc:
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print(f"error: {exc}", file=sys.stderr)
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raise SystemExit(1)
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