重构仓库目录为统一的 runtime 分层并清理历史 openclaw 残留。

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
This commit is contained in:
oliver 2026-04-25 01:24:23 +08:00
parent ba3836f00f
commit 4a23b715a2
498 changed files with 2760 additions and 2200 deletions

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from __future__ import annotations
"""Agent 错误处理模块。
把 `Agent` 内的错误格式化逻辑下沉到此处,方便 manager/specialist 复用。
"""
from typing import Any
from oclaw.prompts import render_prompt
def format_ollama_failure_banner(*, lang: str, exc: BaseException) -> str:
prompt_id = "fallback/ollama_failure.en.md" if (lang or "zh").startswith("en") else "fallback/ollama_failure.zh.md"
return render_prompt(
prompt_id,
variables={"error_type": type(exc).__name__, "error_message": str(exc)},
strict=True,
)
def format_openai_transport_error(*, lang: str, exc: BaseException) -> str:
blob = str(exc).lower()
oversized_tool = ("30000" in blob or "input length" in blob) and ("range" in blob or "length" in blob)
gemini_sig = "thought_signature" in blob
if (lang or "zh").startswith("en"):
if oversized_tool:
return render_prompt(
"fallback/openai_transport_oversized.en.md",
variables={"error_type": type(exc).__name__, "error_message": str(exc)},
strict=True,
)
tail = (
"\n\n_Gemini 3 with tools: the API requires echoing `thought_signature` from each tool use in chat history. "
"If this persists, update the app or use a model/SDK path that preserves provider-specific tool fields._"
if gemini_sig
else ""
)
return render_prompt(
"fallback/openai_transport_error.en.md",
variables={"error_type": type(exc).__name__, "error_message": str(exc), "extra_tail": tail},
strict=True,
)
if oversized_tool:
return render_prompt(
"fallback/openai_transport_oversized.zh.md",
variables={"error_type": type(exc).__name__, "error_message": str(exc)},
strict=True,
)
tail = (
"\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;"
"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。)"
if gemini_sig
else ""
)
return render_prompt(
"fallback/openai_transport_error.zh.md",
variables={"error_type": type(exc).__name__, "error_message": str(exc), "extra_tail": tail},
strict=True,
)
def safe_str(e: Any) -> str:
try:
return str(e)
except Exception:
return repr(e)
__all__ = ["format_ollama_failure_banner", "format_openai_transport_error", "safe_str"]