Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/xt765/langchain-chinese-comment/typesgit clone --depth 1 https://github.com/xt765/LangChain-Chinese-CommentWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00578 |
| Opus 5 | $0.00000 | $0.00289 |
| Sonnet 5 | $0.00000 | $0.00116 |
| Haiku 4.5 | $0.00000 | $0.00058 |
Grade A, and why
types scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
libs\langchain\langchain_classic\agents\types.py
此文档提供了 libs\langchain\langchain_classic\agents\types.py 文件的详细中文注释。该模块定义了代理类型枚举与其实际实现类之间的映射。
功能描述
该模块是 langchain_classic 代理系统的注册表。它将 AgentType 枚举值与具体的代理实现类（如 ZeroShotAgent）关联起来。
核心映射表：AGENT_TO_CLASS
这是整个经典代理框架的核心查找表：
| AgentType | 实现类 | 备注 |
|---|---|---|
ZERO_SHOT_REACT_DESCRIPTION |
ZeroShotAgent |
标准 ReAct 代理。 |
REACT_DOCSTORE |
ReActDocstoreAgent |
结合文档存储。 |
SELF_ASK_WITH_SEARCH |
SelfAskWithSearchAgent |
多步推理 + 搜索。 |
CONVERSATIONAL_REACT_DESCRIPTION |
ConversationalAgent |
基础对话 ReAct。 |
CHAT_ZERO_SHOT_REACT_DESCRIPTION |
ChatAgent |
聊天模型版 ReAct。 |
CHAT_CONVERSATIONAL_REACT_DESCRIPTION |
ConversationalChatAgent |
聊天模型版对话 ReAct。 |
STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION |
StructuredChatAgent |
JSON 格式结构化代理。 |
OPENAI_FUNCTIONS |
OpenAIFunctionsAgent |
基于 OpenAI 函数。 |
OPENAI_MULTI_FUNCTIONS |
OpenAIMultiFunctionsAgent |
支持多函数调用。 |
类型定义
AGENT_TYPE: 这是一个联合类型，定义了所有合法的代理类类型（支持单动作和 OpenAI 多动作代理）。
设计意图
- 解耦: 允许
initialize_agent函数根据字符串或枚举动态选择算法，而无需在初始化函数内部硬编码所有代理类的逻辑。 - 工厂模式: 为代理系统的动态构建提供了基础。
现状与弃用
由于 initialize_agent 和 AgentType 已被标记为弃用，此映射表目前主要为了维持向后兼容性。现代代码建议直接导入具体的代理类或使用专用的 create_*_agent 工厂函数。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 39 lines · 0 tokens per session scan A 00f97d56ba84
types is an agent published in the GitHub repository xt765/LangChain-Chinese-Comment (20 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 578 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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