mirror of
https://github.com/hwchase17/langchain.git
synced 2025-08-24 03:52:08 +00:00
2b15518c5f
This adds `args_schema` member to `SearxSearchResults` tool. This member
is already present in the `SearxSearchRun` tool in the same file.
I was having `TypeError: Type is not JSON serializable:
AsyncCallbackManagerForToolRun` being thrown in langserve playground
when I was using `SearxSearchResults` tool as a part of chain there.
This fixes the issue, so the error is not raised anymore.
This is a example langserve app that was giving me the error, but it
works properly after the proposed fix:
```python
#!/usr/bin/env python
from fastapi import FastAPI
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.output_parsers import StrOutputParser
from langchain_core.runnables import RunnablePassthrough
from langchain_openai import ChatOpenAI
from langchain_community.utilities import SearxSearchWrapper
from langchain_community.tools.searx_search.tool import SearxSearchResults
from langserve import add_routes
template = """Answer the question based only on the following context:
{context}
Question: {question}
"""
prompt = ChatPromptTemplate.from_template(template)
model = ChatOpenAI()
s = SearxSearchWrapper(searx_host="http://localhost:8080")
search = SearxSearchResults(wrapper=s)
search_chain = (
{"context": search, "question": RunnablePassthrough()}
| prompt
| model
| StrOutputParser()
)
app = FastAPI()
add_routes(
app,
search_chain,
path="/chain",
)
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="localhost", port=8000)
```
85 lines
2.4 KiB
Python
85 lines
2.4 KiB
Python
"""Tool for the SearxNG search API."""
|
|
|
|
from typing import Optional, Type
|
|
|
|
from langchain_core.callbacks import (
|
|
AsyncCallbackManagerForToolRun,
|
|
CallbackManagerForToolRun,
|
|
)
|
|
from langchain_core.pydantic_v1 import BaseModel, Field
|
|
from langchain_core.tools import BaseTool
|
|
|
|
from langchain_community.utilities.searx_search import SearxSearchWrapper
|
|
|
|
|
|
class SearxSearchQueryInput(BaseModel):
|
|
"""Input for the SearxSearch tool."""
|
|
|
|
query: str = Field(description="query to look up on searx")
|
|
|
|
|
|
class SearxSearchRun(BaseTool):
|
|
"""Tool that queries a Searx instance."""
|
|
|
|
name: str = "searx_search"
|
|
description: str = (
|
|
"A meta search engine."
|
|
"Useful for when you need to answer questions about current events."
|
|
"Input should be a search query."
|
|
)
|
|
wrapper: SearxSearchWrapper
|
|
kwargs: dict = Field(default_factory=dict)
|
|
args_schema: Type[BaseModel] = SearxSearchQueryInput
|
|
|
|
def _run(
|
|
self,
|
|
query: str,
|
|
run_manager: Optional[CallbackManagerForToolRun] = None,
|
|
) -> str:
|
|
"""Use the tool."""
|
|
return self.wrapper.run(query, **self.kwargs)
|
|
|
|
async def _arun(
|
|
self,
|
|
query: str,
|
|
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
|
|
) -> str:
|
|
"""Use the tool asynchronously."""
|
|
return await self.wrapper.arun(query, **self.kwargs)
|
|
|
|
|
|
class SearxSearchResults(BaseTool):
|
|
"""Tool that queries a Searx instance and gets back json."""
|
|
|
|
name: str = "searx_search_results"
|
|
description: str = (
|
|
"A meta search engine."
|
|
"Useful for when you need to answer questions about current events."
|
|
"Input should be a search query. Output is a JSON array of the query results"
|
|
)
|
|
wrapper: SearxSearchWrapper
|
|
num_results: int = 4
|
|
kwargs: dict = Field(default_factory=dict)
|
|
args_schema: Type[BaseModel] = SearxSearchQueryInput
|
|
|
|
class Config:
|
|
extra = "allow"
|
|
|
|
def _run(
|
|
self,
|
|
query: str,
|
|
run_manager: Optional[CallbackManagerForToolRun] = None,
|
|
) -> str:
|
|
"""Use the tool."""
|
|
return str(self.wrapper.results(query, self.num_results, **self.kwargs))
|
|
|
|
async def _arun(
|
|
self,
|
|
query: str,
|
|
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
|
|
) -> str:
|
|
"""Use the tool asynchronously."""
|
|
return (
|
|
await self.wrapper.aresults(query, self.num_results, **self.kwargs)
|
|
).__str__()
|