这将帮助您开始使用 OpenApiToolkit OpenAPI 工具包. OpenApiToolkit 现在位于 @langchain/classic。有关迁移详情,请参阅 LangChain v1 迁移指南.
OpenAPIToolkit 可以访问以下工具:
| 名称 | 描述 |
|---|---|
requests_get | 通往互联网的门户。当您需要从网站获取特定内容时使用。输入应为 URL 字符串(即 "www.google.com")。输出将是 GET 请求的文本响应。 |
requests_post | 当您想向网站 POST 时使用。输入应该是包含两个键的 json 字符串:"url" 和 "data"。"url" 的值应该是字符串,"data" 的值应该是您想作为 JSON body POST 到 URL 的键值对字典。请注意,在 json 字符串中始终使用双引号。输出将是 POST 请求的文本响应。 |
json_explorer | Can be used to answer questions about the openapi spec for the API. Always use this tool before trying to make a request. Example inputs to this tool: 'What are the required query parameters for a GET request to the /bar endpoint?' 'What are the required parameters in the request body for a POST request to the /foo endpoint?' Always give this tool a specific question. |
设置
此工具包需要一个 OpenAPI 规范文件。LangChain.js 仓库在 目录中有一个 examples 目录。您可以使用此文件来测试工具包。
如果您想从单个工具的运行中获得自动追踪,您还可以通过取消下面的注释来设置您的 LangSmith API 密钥:
process.env.LANGSMITH_TRACING="true"
process.env.LANGSMITH_API_KEY="your-api-key"
安装
此工具包位于 langchain package:
npm install langchain @langchain/core
yarn add langchain @langchain/core
pnpm add langchain @langchain/core
实例化
现在我们可以实例化工具包。首先,我们需要定义我们想在工具包中使用的 LLM。
// @lc-docs-hide-cell
const llm = new ChatOpenAI({
model: "gpt-5.4-mini",
temperature: 0,
})
// Load & convert the OpenAPI spec from YAML to JSON.
const yamlFile = fs.readFileSync("../../../../../examples/openai_openapi.yaml", "utf8");
const data = yaml.load(yamlFile) as JsonObject;
if (!data) {
throw new Error("Failed to load OpenAPI spec");
}
// Define headers for the API requests.
const headers = {
"Content-Type": "application/json",
Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
};
const toolkit = new OpenApiToolkit(new JsonSpec(data), llm, headers);
工具
查看可用工具:
const tools = toolkit.getTools();
console.log(tools.map((tool) => ({
name: tool.name,
description: tool.description,
})))
[
{
name: 'requests_get',
description: 'A portal to the internet. Use this when you need to get specific content from a website.\n' +
' Input should be a url string (i.e. "https://www.google.com"). The output will be the text response of the GET request.'
},
{
name: 'requests_post',
description: 'Use this when you want to POST to a website.\n' +
' Input should be a json string with two keys: "url" and "data".\n' +
' The value of "url" should be a string, and the value of "data" should be a dictionary of\n' +
' key-value pairs you want to POST to the url as a JSON body.\n' +
' Be careful to always use double quotes for strings in the json string\n' +
' The output will be the text response of the POST request.'
},
{
name: 'json_explorer',
description: '\n' +
'Can be used to answer questions about the openapi spec for the API. Always use this tool before trying to make a request. \n' +
'Example inputs to this tool: \n' +
" 'What are the required query parameters for a GET request to the /bar endpoint?'\n" +
" 'What are the required parameters in the request body for a POST request to the /foo endpoint?'\n" +
'Always give this tool a specific question.'
}
]
在代理中使用
首先,确保您已安装 LangGraph:
npm install @langchain/langgraph
yarn add @langchain/langgraph
pnpm add @langchain/langgraph
const agentExecutor = createAgent({ llm, tools });
const exampleQuery = "Make a POST request to openai /chat/completions. The prompt should be 'tell me a joke.'. Ensure you use the model 'gpt-5.4-mini'."
const stream = await agentExecutor.streamEvents(
{ messages: [["user", exampleQuery]] },
{ version: "v3" },
);
for await (const snapshot of stream.values) {
const lastMsg = snapshot.messages[snapshot.messages.length - 1];
if (lastMsg.tool_calls?.length) {
console.dir(lastMsg.tool_calls, { depth: null });
} else if (lastMsg.content) {
console.log(lastMsg.content);
}
}
[
{
name: 'requests_post',
args: {
input: '{"url":"https://api.openai.com/v1/chat/completions","data":{"model":"gpt-5.4-mini","messages":[{"role":"user","content":"tell me a joke."}]}}'
},
type: 'tool_call',
id: 'call_1HqyZrbYgKFwQRfAtsZA2uL5'
}
]
{
"id": "chatcmpl-9t36IIuRCs0WGMEy69HUqPcKvOc1w",
"object": "chat.completion",
"created": 1722906986,
"model": "gpt-5.4-mini",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Why don't skeletons fight each other? \n\nThey don't have the guts!"
},
"logprobs": null,
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 12,
"completion_tokens": 15,
"total_tokens": 27
},
"system_fingerprint": "fp_48196bc67a"
}
Here's a joke for you:
**Why don't skeletons fight each other?**
They don't have the guts!
API 参考
目前没有专用的 API 参考页面用于 OpenApiToolkit in @langchain/classic。有关实现详情,请参阅 OpenApiToolkit 源代码位于 langchainjs.