chenmingxuan
2328a4df0c
Align Responses cache affinity across execution and summary calls, preserve required checks and evidence uncertainty, and allow safe deletion of inactive explorations while retaining independent reruns. Validation: backend suite passed except intentional prompt golden drift, then all 17 transcript tests passed after snapshot refresh; 268 frontend tests and production build passed; Ruff, quality ratchet and core type checks passed.
237 lines
9.4 KiB
Python
237 lines
9.4 KiB
Python
"""Small, credential-free request snapshots in the existing task trace store."""
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import base64
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from contextvars import ContextVar
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from copy import deepcopy
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import io
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import hashlib
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import logging
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import re
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import time
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from uuid import uuid4
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from PIL import Image
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from artemis.data_engine.context_vars import CURRENT_NODE_NAME, CURRENT_TRACE_ID
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from artemis.llm.usage import usage_from_message
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logger = logging.getLogger(__name__)
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ACTIVE_ATTEMPT: ContextVar["RequestAttempt | None"] = ContextVar("llm_attempt", default=None)
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def error_text(error: BaseException, timeout: float | None = None) -> str:
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if isinstance(error, TimeoutError):
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return f"模型请求在 {timeout:g} 秒内未完成" if timeout else "模型请求超时"
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text = str(error).strip() or type(error).__name__
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text = re.sub(
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r"(?i)(bearer\s+|(?:api[_-]?key|token|authorization)[\"']?\s*[:=]\s*[\"']?)[^\s\"',;]+",
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r"\1[REDACTED]",
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text,
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)
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text = re.sub(r"\bsk-[\w-]+", "[REDACTED]", text)
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text = re.sub(r"https?://[^\s\"']+", "[endpoint]", text)
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return text[:1000]
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def input_images(args: tuple, kwargs: dict) -> list[dict]:
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"""Inspect only inline image headers; never fetch URLs or retain image data."""
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images = []
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messages = args[0] if args else kwargs.get("input", [])
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if not isinstance(messages, (list, tuple)):
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return images
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for message in messages:
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content = getattr(message, "content", None)
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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 not isinstance(block, dict) or block.get("type") not in {
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"image_url",
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"input_image",
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"image",
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}:
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continue
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value = block.get("image_url", block.get("url", ""))
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value = value.get("url", "") if isinstance(value, dict) else value
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info = {"width": None, "height": None}
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if isinstance(value, str) and value.startswith("data:image/") and ";base64," in value:
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try:
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# JPEG/PNG dimensions normally fit in this prefix. Unknown is
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# preferable to decoding large images just for diagnostics.
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encoded = value.split(",", 1)[1][:131072]
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with Image.open(io.BytesIO(base64.b64decode(encoded))) as image:
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info.update(width=image.width, height=image.height)
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except (ValueError, OSError):
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pass
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images.append(info)
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return images
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class RequestAttempt:
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def __init__(self, engine, *, request_id, attempt, timeout, max_retries, metadata):
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self.engine = engine
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self.trace_id = uuid4()
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self.step_id = getattr(engine, "current_step_id", None)
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self.parent_id = CURRENT_TRACE_ID.get()
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self.clock = time.monotonic()
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self.last_publish = self.clock
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self.tools: dict[int | str, dict] = {}
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self.data = {
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"images": [],
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**metadata,
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"request_id": request_id,
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"attempt_id": str(self.trace_id),
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"attempt": attempt,
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"max_retries": max_retries,
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"timeout_seconds": timeout,
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"role": CURRENT_NODE_NAME.get() or metadata.get("role") or "model",
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"started_at": time.time(),
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"phase": "waiting_response",
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"sequence": 0,
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"usage": None,
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"output_chunks": 0,
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"tool_argument_chars": 0,
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"tools": [],
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"step_id": str(self.step_id) if self.step_id else None,
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"parent_trace_id": str(self.parent_id) if self.parent_id else None,
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}
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self.publish()
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def publish(self):
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self.data["sequence"] += 1
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self.data["updated_at"] = time.time()
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self.data["elapsed_seconds"] = round(time.monotonic() - self.clock, 3)
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self.last_publish = time.monotonic()
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if not self.engine or not getattr(self.engine, "current_session_id", None):
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return
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try:
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phase = self.data["phase"]
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status = (
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"success"
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if phase == "completed"
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else "failed"
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if self.data.get("ended_at")
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else "running"
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)
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self.engine.record_trace(
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type="llm_diagnostic",
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name="llm_request",
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trace_id=self.trace_id,
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step_id=self.step_id,
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parent_trace_id=self.parent_id,
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payload=deepcopy(self.data),
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status=status,
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duration=self.data["elapsed_seconds"],
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)
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except (OSError, RuntimeError, ValueError, TypeError, AttributeError):
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logger.warning("Could not persist model request diagnostics", exc_info=True)
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def headers(self, response):
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self.data.update(
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headers_at=time.time(),
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http_status=response.status_code,
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server_request_id=response.headers.get("x-request-id")
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or response.headers.get("request-id"),
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phase="waiting_output",
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)
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self.publish()
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def chunk(self, chunk):
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response_metadata = getattr(chunk, "response_metadata", {}) or {}
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for field in ("status", "finish_reason"):
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value = response_metadata.get(field)
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if isinstance(value, str) and re.fullmatch(r"[\w.-]{1,64}", value):
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self.data["response_" + field] = value
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tool_chunks = getattr(chunk, "tool_call_chunks", None) or []
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# Responses exposes the same argument delta in content and tool_call_chunks.
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# Count only the latter; retain lengths/names, never argument bodies.
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for tool in tool_chunks:
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index = tool.get("index")
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key = index if index is not None else tool.get("id") or "unknown"
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stats = self.tools.setdefault(key, {"name": None, "argument_chars": 0})
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name = tool.get("name")
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if isinstance(name, str) and re.fullmatch(r"[\w.:-]{1,128}", name):
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stats["name"] = name
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arguments = tool.get("args")
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if isinstance(arguments, str):
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stats["argument_chars"] += len(arguments)
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self.data["tool_argument_chars"] += len(arguments)
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self.data["tools"] = list(self.tools.values())
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content = getattr(chunk, "content", None)
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substantive = isinstance(content, str) and bool(content)
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if isinstance(content, list):
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substantive = any(
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isinstance(b, dict)
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and (
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b.get("text")
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or b.get("thinking")
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or b.get("summary")
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or b.get("type") in {"tool_call", "function_call"}
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)
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for b in content
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)
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substantive = substantive or bool(tool_chunks) or bool(getattr(chunk, "tool_calls", None))
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if not substantive:
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return
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now = time.time()
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first = not self.data.get("first_output_at")
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self.data.setdefault("first_output_at", now)
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phase = "generating_tool_arguments" if tool_chunks else "receiving_output"
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changed = self.data["phase"] != phase
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self.data.update(last_output_at=now, phase=phase)
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self.data["output_chunks"] += 1
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if first or changed or time.monotonic() - self.last_publish >= 5:
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self.publish()
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def finish(self, phase, *, response=None, error=None, category=None):
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if error is not None:
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self.data.update(
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error=error_text(error, self.data["timeout_seconds"]),
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error_type=type(error).__name__,
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category=category,
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failure_phase=self.data["phase"],
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)
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status = getattr(error, "status_code", None)
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if isinstance(status, int):
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self.data["http_status"] = status
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if response is not None:
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# The aggregate repeats all streaming deltas; do not count them twice.
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if not self.data.get("first_output_at"):
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self.chunk(response)
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if (usage := usage_from_message(response)) is not None:
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self.data["usage"] = usage
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self.data.update(phase=phase, ended_at=time.time())
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self.publish()
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def retry(self, delay):
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self.data.update(
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phase="retry_wait", retry_at=time.time() + delay, retry_delay_seconds=delay
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)
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self.publish()
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async def observe_request_headers(request):
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"""Correlate a wire request and record only hashes of routing headers."""
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attempt = ACTIVE_ATTEMPT.get()
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if attempt is None:
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return
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request.headers.setdefault("X-Client-Request-Id", attempt.data["request_id"])
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routing = {}
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for name in ("thread-id", "thread_id", "session-id", "session_id"):
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value = request.headers.get(name)
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if value is not None:
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routing[name] = hashlib.sha256(value.encode()).hexdigest()[:16]
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attempt.data.update(
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request_sent_at=time.time(),
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routing_header_fingerprints=routing,
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client_request_id_matches=request.headers.get("X-Client-Request-Id")
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== attempt.data["request_id"],
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)
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attempt.publish()
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async def observe_response_headers(response):
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"""httpx hook: only allowlisted headers, never body/auth/request headers."""
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attempt = ACTIVE_ATTEMPT.get()
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if attempt is not None:
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attempt.headers(response)
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