Drop the duplicate chunk-reading helper, run_agent facade forward and _last_serving_provider agent state; the chat-completions loop already captures chunk.provider, so stamp it on the per-attempt diag there and read the hook's upstream_provider from the assembled response.provider.
199 lines
8.2 KiB
Python
199 lines
8.2 KiB
Python
"""Lifecycle-hook payloads for ``AIAgent`` API requests.
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JSON-safe coercion, secret-key redaction, size caps, and the ``api_request_error`` hook dispatch.
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Extracted from ``run_agent.py``; every method resolves through ``AIAgent``'s MRO unchanged.
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"""
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import json
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import os
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import time
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from contextlib import suppress
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from types import SimpleNamespace
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from typing import Any, Dict, Optional
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from agent.usage_pricing import normalize_usage
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_SENSITIVE_HOOK_KEYS = {"api_key", "authorization", "proxy_authorization", "cookie", "set_cookie"}
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def _model_dump(value: Any) -> Any:
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"""``value.model_dump(mode="json")`` with graceful degradation for older pydantic signatures.
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warnings=False: pydantic UserWarnings on generic-union SDK models would leak to the terminal.
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"""
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try:
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return value.model_dump(mode="json", warnings=False)
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except TypeError:
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try:
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return value.model_dump(mode="json")
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except TypeError:
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return value.model_dump()
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class ApiRequestHooksMixin:
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"""Hook payload sanitising + ``api_request_error`` dispatch (see module docstring)."""
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def _usage_summary_for_api_request_hook(self, response: Any) -> Optional[Dict[str, Any]]:
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"""Token buckets for ``post_api_request`` plugins (no raw ``response`` object)."""
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if response is None:
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return None
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raw_usage = getattr(response, "usage", None)
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if not raw_usage:
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return None
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from dataclasses import asdict
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cu = normalize_usage(raw_usage, provider=self.provider, api_mode=self.api_mode)
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summary = asdict(cu)
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summary.pop("raw_usage", None)
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summary["prompt_tokens"] = cu.prompt_tokens
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summary["total_tokens"] = cu.total_tokens
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return summary
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@staticmethod
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def _hook_payload_max_chars() -> int:
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raw = os.getenv("HERMES_PLUGIN_PAYLOAD_MAX_CHARS", "50000")
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try:
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return max(1000, int(raw))
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except (TypeError, ValueError):
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return 50000
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@staticmethod
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def _is_sensitive_hook_key(key: Any) -> bool:
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if not isinstance(key, str):
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return False
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lowered = key.lower().replace("-", "_")
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return lowered in _SENSITIVE_HOOK_KEYS or lowered.endswith("_api_key")
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@classmethod
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def _hook_jsonable(
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cls, value: Any, *, depth: int = 0, max_depth: int = 8, max_string: int = 8000,
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max_sequence: int = 200,
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) -> Any:
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if depth > max_depth:
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return f"<{type(value).__name__} depth limit>"
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if value is None or isinstance(value, (bool, int, float)):
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return value
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if isinstance(value, str):
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if len(value) > max_string:
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return value[:max_string] + f"...[truncated {len(value) - max_string} chars]"
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return value
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if isinstance(value, (bytes, bytearray)):
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return f"<{len(value)} bytes>"
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def recurse(item):
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return cls._hook_jsonable(
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item, depth=depth + 1, max_depth=max_depth, max_string=max_string,
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max_sequence=max_sequence,
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)
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if isinstance(value, dict):
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out: Dict[str, Any] = {}
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for idx, (key, item) in enumerate(value.items()):
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if idx >= max_sequence:
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out["_truncated_items"] = len(value) - max_sequence
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break
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str_key = str(key)
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out[str_key] = "<redacted>" if cls._is_sensitive_hook_key(str_key) else recurse(item)
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return out
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if isinstance(value, (list, tuple, set)):
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seq = list(value)
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out = [recurse(item) for item in seq[:max_sequence]]
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if len(seq) > max_sequence:
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out.append({"_truncated_items": len(seq) - max_sequence})
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return out
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with suppress(Exception):
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if hasattr(value, "model_dump"):
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return recurse(_model_dump(value))
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with suppress(Exception):
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from dataclasses import asdict, is_dataclass
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if is_dataclass(value):
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return recurse(asdict(value))
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if isinstance(value, SimpleNamespace):
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return recurse(vars(value))
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if hasattr(value, "__dict__"):
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with suppress(Exception):
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return recurse({k: v for k, v in vars(value).items() if not str(k).startswith("_")})
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return str(value)[:max_string]
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@classmethod
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def _sanitize_hook_payload(cls, value: Any) -> Any:
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"""JSON-able payload under the size cap: full → reduced caps → truncated preview."""
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limit = cls._hook_payload_max_chars()
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encoded = ""
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for caps in ({}, {"max_string": 1000, "max_sequence": 50}):
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payload = cls._hook_jsonable(value, **caps)
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try:
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encoded = json.dumps(payload, ensure_ascii=False, default=str)
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except Exception:
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return str(payload)[:limit]
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if len(encoded) <= limit:
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return payload
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return {
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"_truncated": True, "original_type": type(value).__name__, "preview": encoded[:limit]
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}
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def _api_request_payload_for_hook(self, api_kwargs: Optional[Dict[str, Any]]) -> Dict[str, Any]:
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body = {
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key: value
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for key, value in (api_kwargs or {}).items()
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if key not in {"timeout", "http_client"}
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}
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return self._sanitize_hook_payload({"method": "POST", "body": body})
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def _api_response_payload_for_hook(
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self, response: Any, assistant_message: Any, *, finish_reason: Optional[str]
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) -> Dict[str, Any]:
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# Raw provider SDK tool_call objects are handed to the sanitizer on purpose; `_hook_jsonable` must
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# keep normalising them (model_dump / __dict__ / dataclass) or subscribers get str() blobs.
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tool_calls = getattr(assistant_message, "tool_calls", None) or []
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return self._sanitize_hook_payload(
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{
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"model": getattr(response, "model", None),
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# Downstream that served the call (relays re-roll it per request; #90216).
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"upstream_provider": getattr(response, "provider", None),
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"finish_reason": finish_reason,
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"assistant_message": {
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"role": getattr(assistant_message, "role", "assistant"),
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"content": getattr(assistant_message, "content", None),
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"tool_calls": tool_calls,
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},
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"usage": self._usage_summary_for_api_request_hook(response),
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}
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)
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def _invoke_api_request_error_hook(
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self, *, task_id: str, turn_id: str, api_request_id: str, api_call_count: int,
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api_start_time: float, api_kwargs: Optional[Dict[str, Any]], error_type: str,
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error_message: str, status_code: Optional[int] = None, retry_count: Optional[int] = None,
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max_retries: Optional[int] = None, retryable: Optional[bool] = None,
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reason: Optional[str] = None,
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) -> None:
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# Lazy module import (not from-import) so tests can replace lifecycle dispatch at this call site.
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with suppress(Exception):
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from hermes_cli import lifecycle as _lifecycle
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if not _lifecycle.has_hook("api_request_error"):
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return
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ended_at = time.time()
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_lifecycle.invoke_hook(
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"api_request_error",
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task_id=task_id,
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turn_id=turn_id,
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api_request_id=api_request_id,
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session_id=self.session_id or "",
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platform=self.platform or "",
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model=self.model,
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provider=self.provider,
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base_url=self.base_url,
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api_mode=self.api_mode,
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api_call_count=api_call_count,
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api_duration=ended_at - api_start_time,
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started_at=api_start_time,
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ended_at=ended_at,
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status_code=status_code,
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retry_count=retry_count,
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max_retries=max_retries,
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retryable=retryable,
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reason=reason,
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error={"type": error_type, "message": error_message},
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request=self._api_request_payload_for_hook(api_kwargs),
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)
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