Source code for langchain_community.utilities.golden_query
"""Util that calls Golden."""
import json
from typing import Any, Dict, Optional
import requests
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel, ConfigDict, model_validator
GOLDEN_BASE_URL = "https://golden.com"
GOLDEN_TIMEOUT = 5000
[docs]
class GoldenQueryAPIWrapper(BaseModel):
"""Wrapper for Golden.
Docs for using:
1. Go to https://golden.com and sign up for an account
2. Get your API Key from https://golden.com/settings/api
3. Save your API Key into GOLDEN_API_KEY env variable
"""
golden_api_key: Optional[str] = None
model_config = ConfigDict(
extra="forbid",
)
@model_validator(mode="before")
@classmethod
def validate_environment(cls, values: Dict) -> Any:
"""Validate that api key and python package exists in environment."""
golden_api_key = get_from_dict_or_env(
values, "golden_api_key", "GOLDEN_API_KEY"
)
values["golden_api_key"] = golden_api_key
return values
[docs]
def run(self, query: str) -> str:
"""Run query through Golden Query API and return the JSON raw result."""
headers = {"apikey": self.golden_api_key or ""}
response = requests.post(
f"{GOLDEN_BASE_URL}/api/v2/public/queries/",
json={"prompt": query},
headers=headers,
timeout=GOLDEN_TIMEOUT,
)
if response.status_code != 201:
return response.text
content = json.loads(response.content)
query_id = content["id"]
response = requests.get(
(
f"{GOLDEN_BASE_URL}/api/v2/public/queries/{query_id}/results/"
"?pageSize=10"
),
headers=headers,
timeout=GOLDEN_TIMEOUT,
)
return response.text