Skip to main content
Open In ColabOpen on GitHub

JSON 工具包

本笔记本展示了一个代理与大型JSON/dict对象交互的过程。当您想要回答关于一个太大而无法适应LLM上下文窗口的JSON数据块的问题时,这非常有用。代理能够迭代地探索数据块,以找到回答用户问题所需的内容。

在下面的示例中,我们使用了OpenAI API的OpenAPI规范,你可以在这里找到这里

我们将使用JSON代理来回答一些关于API规范的问题。

%pip install -qU langchain-community

初始化

import yaml
from langchain_community.agent_toolkits import JsonToolkit, create_json_agent
from langchain_community.tools.json.tool import JsonSpec
from langchain_openai import OpenAI
with open("openai_openapi.yml") as f:
data = yaml.load(f, Loader=yaml.FullLoader)
json_spec = JsonSpec(dict_={}, max_value_length=4000)
json_toolkit = JsonToolkit(spec=json_spec)

json_agent_executor = create_json_agent(
llm=OpenAI(temperature=0), toolkit=json_toolkit, verbose=True
)

独立工具

让我们看看Jira工具包中有哪些单独的工具。

[(el.name, el.description) for el in json_toolkit.get_tools()]
[('json_spec_list_keys',
'\n Can be used to list all keys at a given path. \n Before calling this you should be SURE that the path to this exists.\n The input is a text representation of the path to the dict in Python syntax (e.g. data["key1"][0]["key2"]).\n '),
('json_spec_get_value',
'\n Can be used to see value in string format at a given path.\n Before calling this you should be SURE that the path to this exists.\n The input is a text representation of the path to the dict in Python syntax (e.g. data["key1"][0]["key2"]).\n ')]

示例:获取请求所需的POST参数

json_agent_executor.run(
"What are the required parameters in the request body to the /completions endpoint?"
)


> Entering new AgentExecutor chain...
Action: json_spec_list_keys
Action Input: data
Observation: ['openapi', 'info', 'servers', 'tags', 'paths', 'components', 'x-oaiMeta']
Thought: I should look at the paths key to see what endpoints exist
Action: json_spec_list_keys
Action Input: data["paths"]
Observation: ['/engines', '/engines/{engine_id}', '/completions', '/edits', '/images/generations', '/images/edits', '/images/variations', '/embeddings', '/engines/{engine_id}/search', '/files', '/files/{file_id}', '/files/{file_id}/content', '/answers', '/classifications', '/fine-tunes', '/fine-tunes/{fine_tune_id}', '/fine-tunes/{fine_tune_id}/cancel', '/fine-tunes/{fine_tune_id}/events', '/models', '/models/{model}', '/moderations']
Thought: I should look at the /completions endpoint to see what parameters are required
Action: json_spec_list_keys
Action Input: data["paths"]["/completions"]
Observation: ['post']
Thought: I should look at the post key to see what parameters are required
Action: json_spec_list_keys
Action Input: data["paths"]["/completions"]["post"]
Observation: ['operationId', 'tags', 'summary', 'requestBody', 'responses', 'x-oaiMeta']
Thought: I should look at the requestBody key to see what parameters are required
Action: json_spec_list_keys
Action Input: data["paths"]["/completions"]["post"]["requestBody"]
Observation: ['required', 'content']
Thought: I should look at the required key to see what parameters are required
Action: json_spec_get_value
Action Input: data["paths"]["/completions"]["post"]["requestBody"]["required"]
Observation: True
Thought: I should look at the content key to see what parameters are required
Action: json_spec_list_keys
Action Input: data["paths"]["/completions"]["post"]["requestBody"]["content"]
Observation: ['application/json']
Thought: I should look at the application/json key to see what parameters are required
Action: json_spec_list_keys
Action Input: data["paths"]["/completions"]["post"]["requestBody"]["content"]["application/json"]
Observation: ['schema']
Thought: I should look at the schema key to see what parameters are required
Action: json_spec_list_keys
Action Input: data["paths"]["/completions"]["post"]["requestBody"]["content"]["application/json"]["schema"]
Observation: ['$ref']
Thought: I should look at the $ref key to see what parameters are required
Action: json_spec_get_value
Action Input: data["paths"]["/completions"]["post"]["requestBody"]["content"]["application/json"]["schema"]["$ref"]
Observation: #/components/schemas/CreateCompletionRequest
Thought: I should look at the CreateCompletionRequest schema to see what parameters are required
Action: json_spec_list_keys
Action Input: data["components"]["schemas"]["CreateCompletionRequest"]
Observation: ['type', 'properties', 'required']
Thought: I should look at the required key to see what parameters are required
Action: json_spec_get_value
Action Input: data["components"]["schemas"]["CreateCompletionRequest"]["required"]
Observation: ['model']
Thought: I now know the final answer
Final Answer: The required parameters in the request body to the /completions endpoint are 'model'.

> Finished chain.
"The required parameters in the request body to the /completions endpoint are 'model'."

这个页面有帮助吗?