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/loadinggit 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 | $0.00520 |
| Opus 5 | $0.00000 | $0.00260 |
| Sonnet 5 | $0.00000 | $0.00104 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
loading 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\loading.py
此文档提供了 libs\langchain\langchain_classic\agents\loading.py 文件的详细中文注释。该模块定义了从配置文件（JSON 或 YAML）中加载代理的逻辑。
功能描述
该模块实现了代理的序列化加载机制，支持从本地文件或远程配置中恢复代理对象。它主要处理配置字典到代理实例的转换。
主要函数
1. load_agent_from_config(config, ...)
从配置字典加载代理。
_type映射: 根据配置中的_type字段，在 AGENT_TO_CLASS 中查找对应的代理类。- 两种加载路径:
- 基于 LLM 和工具: 如果
load_from_llm_and_tools为 True，则调用from_llm_and_tools。这通常用于需要根据工具描述动态生成提示词的 ReAct 代理。 - 基于 LLM 链: 如果提供了
llm_chain或llm_chain_path，则直接加载底层的 LLMChain。
- 基于 LLM 和工具: 如果
2. load_agent(path, ...)
从文件路径（JSON/YAML）或远程 URL 加载代理。
- URL 基准: 默认指向早期的
langchain-hub仓库 (https://raw.githubusercontent.com/hwchase17/langchain-hub/master/agents/)。
弃用说明
该模块及其加载函数已被标记为弃用。
弃用原因
- 序列化限制: 基于配置字典的加载方式难以处理复杂的 Python 对象（如自定义回调或复杂的工具逻辑）。
- 工具升级: LangChain 现代推荐使用 LangSmith Hub 来管理和加载提示词及代理配置。
迁移建议
- 避免使用基于 YAML/JSON 的本地代理配置。
- 使用
langchain.hub.pull从 LangSmith Hub 拉取提示词模板。 - 使用代码显式创建代理（如
create_react_agent），这更符合类型检查和现代工程实践。
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 f37bdf697468
loading 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 520 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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