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git-subtree-dir: packages/tools git-subtree-split: 78317b9c127f18bd040c1d77e3c0840cdc9a5b38
92 lines
3.2 KiB
Python
92 lines
3.2 KiB
Python
import os
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import secrets
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from typing import Any, Dict, List, Optional, Type
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from crewai.tools import BaseTool, EnvVar
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from openai import OpenAI
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from pydantic import BaseModel, Field
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class AIMindToolConstants:
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MINDS_API_BASE_URL = "https://mdb.ai/"
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MIND_NAME_PREFIX = "crwai_mind_"
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DATASOURCE_NAME_PREFIX = "crwai_ds_"
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class AIMindToolInputSchema(BaseModel):
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"""Input for AIMind Tool."""
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query: str = Field(description="Question in natural language to ask the AI-Mind")
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class AIMindTool(BaseTool):
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name: str = "AIMind Tool"
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description: str = (
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"A wrapper around [AI-Minds](https://mindsdb.com/minds). "
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"Useful for when you need answers to questions from your data, stored in "
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"data sources including PostgreSQL, MySQL, MariaDB, ClickHouse, Snowflake "
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"and Google BigQuery. "
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"Input should be a question in natural language."
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)
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args_schema: Type[BaseModel] = AIMindToolInputSchema
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api_key: Optional[str] = None
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datasources: Optional[List[Dict[str, Any]]] = None
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mind_name: Optional[str] = None
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package_dependencies: List[str] = ["minds-sdk"]
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env_vars: List[EnvVar] = [
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EnvVar(name="MINDS_API_KEY", description="API key for AI-Minds", required=True),
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]
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def __init__(self, api_key: Optional[str] = None, **kwargs):
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super().__init__(**kwargs)
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self.api_key = api_key or os.getenv("MINDS_API_KEY")
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if not self.api_key:
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raise ValueError("API key must be provided either through constructor or MINDS_API_KEY environment variable")
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try:
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from minds.client import Client # type: ignore
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from minds.datasources import DatabaseConfig # type: ignore
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except ImportError:
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raise ImportError(
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"`minds_sdk` package not found, please run `pip install minds-sdk`"
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)
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minds_client = Client(api_key=self.api_key)
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# Convert the datasources to DatabaseConfig objects.
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datasources = []
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for datasource in self.datasources:
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config = DatabaseConfig(
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name=f"{AIMindToolConstants.DATASOURCE_NAME_PREFIX}_{secrets.token_hex(5)}",
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engine=datasource["engine"],
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description=datasource["description"],
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connection_data=datasource["connection_data"],
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tables=datasource["tables"],
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)
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datasources.append(config)
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# Generate a random name for the Mind.
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name = f"{AIMindToolConstants.MIND_NAME_PREFIX}_{secrets.token_hex(5)}"
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mind = minds_client.minds.create(
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name=name, datasources=datasources, replace=True
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)
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self.mind_name = mind.name
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def _run(
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self,
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query: str
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):
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# Run the query on the AI-Mind.
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# The Minds API is OpenAI compatible and therefore, the OpenAI client can be used.
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openai_client = OpenAI(base_url=AIMindToolConstants.MINDS_API_BASE_URL, api_key=self.api_key)
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completion = openai_client.chat.completions.create(
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model=self.mind_name,
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messages=[{"role": "user", "content": query}],
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stream=False,
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)
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return completion.choices[0].message.content
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