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oliver
4a23b715a2
本次迁移将网关/通道/工具/技能/脚本与协议资源集中到新结构，统一路径常量与脚本转发机制，减少顶层噪音并保证运行与测试行为一致。 Made-with: Cursor
69 lines
2.6 KiB
Python
69 lines
2.6 KiB
Python
from __future__ import annotations
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"""Agent 错误处理模块。
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把 `Agent` 内的错误格式化逻辑下沉到此处，方便 manager/specialist 复用。
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"""
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from typing import Any
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from oclaw.prompts import render_prompt
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def format_ollama_failure_banner(*, lang: str, exc: BaseException) -> str:
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prompt_id = "fallback/ollama_failure.en.md" if (lang or "zh").startswith("en") else "fallback/ollama_failure.zh.md"
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return render_prompt(
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prompt_id,
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variables={"error_type": type(exc).__name__, "error_message": str(exc)},
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strict=True,
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)
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def format_openai_transport_error(*, lang: str, exc: BaseException) -> str:
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blob = str(exc).lower()
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oversized_tool = ("30000" in blob or "input length" in blob) and ("range" in blob or "length" in blob)
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gemini_sig = "thought_signature" in blob
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if (lang or "zh").startswith("en"):
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if oversized_tool:
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return render_prompt(
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"fallback/openai_transport_oversized.en.md",
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variables={"error_type": type(exc).__name__, "error_message": str(exc)},
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strict=True,
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)
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tail = (
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"\n\n_Gemini 3 with tools: the API requires echoing `thought_signature` from each tool use in chat history. "
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"If this persists, update the app or use a model/SDK path that preserves provider-specific tool fields._"
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if gemini_sig
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else ""
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)
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return render_prompt(
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"fallback/openai_transport_error.en.md",
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variables={"error_type": type(exc).__name__, "error_message": str(exc), "extra_tail": tail},
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strict=True,
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)
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if oversized_tool:
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return render_prompt(
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"fallback/openai_transport_oversized.zh.md",
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variables={"error_type": type(exc).__name__, "error_message": str(exc)},
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strict=True,
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)
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tail = (
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"\n\n（**Gemini 3 + 工具调用**：接口要求把模型返回的 **thought_signature** 随该次 `tool_calls` 一并写回对话历史；"
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"首轮能跑工具、第二轮 400 多为丢失该字段。若已更新本应用仍报错，请确认代理/OpenAI 兼容层是否透传该字段。）"
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if gemini_sig
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else ""
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)
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return render_prompt(
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"fallback/openai_transport_error.zh.md",
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variables={"error_type": type(exc).__name__, "error_message": str(exc), "extra_tail": tail},
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strict=True,
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)
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def safe_str(e: Any) -> str:
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try:
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return str(e)
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except Exception:
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return repr(e)
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__all__ = ["format_ollama_failure_banner", "format_openai_transport_error", "safe_str"]
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