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49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
from __future__ import annotations
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import json
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import requests
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import yaml
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from langchain.tools.base import BaseTool
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def marshal_spec(txt: str) -> dict:
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"""Convert the yaml or json serialized spec to a dict."""
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try:
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return json.loads(txt)
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except json.JSONDecodeError:
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return yaml.safe_load(txt)
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class AIPluginTool(BaseTool):
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api_spec: str
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@classmethod
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def from_plugin_url(cls, url: str) -> AIPluginTool:
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response = requests.get(url).json()
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description = (
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f"Call this tool to get the OpenAPI spec (and usage guide) "
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f"for interacting with the {response['name_for_human']} API. "
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f"You should only call this ONCE! What is the "
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f"{response['name_for_human']} API useful for? "
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) + response["description_for_human"]
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url = response["api"]["url"]
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open_api_spec_str = requests.get(url).text
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open_api_spec = marshal_spec(open_api_spec_str)
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api_spec = (
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f"Usage Guide: {response['description_for_model']}\n\n"
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f"OpenAPI Spec: {open_api_spec}"
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)
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return cls(
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name=response["name_for_model"], description=description, api_spec=api_spec
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)
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def _run(self, tool_input: str) -> str:
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"""Use the tool."""
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return self.api_spec
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async def _arun(self, tool_input: str) -> str:
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"""Use the tool asynchronously."""
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return self.api_spec
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