feat: integrated with Tavily and Jina AI

This commit is contained in:
Henry Li
2026-01-14 07:17:22 +08:00
parent 83bd7e4309
commit 4b5f529903
4 changed files with 190 additions and 0 deletions

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import logging
import os
import requests
logger = logging.getLogger(__name__)
class JinaClient:
def crawl(self, url: str, return_format: str = "html", timeout: int = 10) -> str:
headers = {
"Content-Type": "application/json",
"X-Return-Format": return_format,
"X-Timeout": str(timeout),
}
if os.getenv("JINA_API_KEY"):
headers["Authorization"] = f"Bearer {os.getenv('JINA_API_KEY')}"
else:
logger.warning(
"Jina API key is not set. Provide your own key to access a higher rate limit. See https://jina.ai/reader for more information."
)
data = {"url": url}
try:
response = requests.post("https://r.jina.ai/", headers=headers, json=data)
if response.status_code != 200:
error_message = (
f"Jina API returned status {response.status_code}: {response.text}"
)
logger.error(error_message)
return f"Error: {error_message}"
if not response.text or not response.text.strip():
error_message = "Jina API returned empty response"
logger.error(error_message)
return f"Error: {error_message}"
return response.text
except Exception as e:
error_message = f"Request to Jina API failed: {str(e)}"
logger.error(error_message)
return f"Error: {error_message}"

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from langchain.tools import tool
from src.community.jina_ai.jina_client import JinaClient
from src.config import get_app_config
from src.utils.readability import ReadabilityExtractor
readability_extractor = ReadabilityExtractor()
@tool("web_fetch", parse_docstring=True)
def web_fetch_tool(url: str) -> str:
"""Fetch the contents of a web page at a given URL.
Only fetch EXACT URLs that have been provided directly by the user or have been returned in results from the web_search and web_fetch tools.
This tool can NOT access content that requires authentication, such as private Google Docs or pages behind login walls.
Do NOT add www. to URLs that do NOT have them.
URLs must include the schema: https://example.com is a valid URL while example.com is an invalid URL.
Args:
url: The URL to fetch the contents of.
"""
jina_client = JinaClient()
timeout = 10
config = get_app_config().get_tool_config("web_fetch")
if config is not None and "timeout" in config.model_extra:
timeout = config.model_extra.get("timeout")
html_content = jina_client.crawl(url, return_format="html", timeout=timeout)
article = readability_extractor.extract_article(html_content)
return article.to_markdown()

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import json
from langchain.tools import tool
from tavily import TavilyClient
from src.config import get_app_config
tavily_client = TavilyClient()
@tool("web_search", parse_docstring=True)
def web_search_tool(query: str) -> str:
"""Search the web.
Args:
query: The query to search for.
"""
config = get_app_config().get_tool_config("web_search")
max_results = 5
if config is not None and "max_results" in config.model_extra:
max_results = config.model_extra.get("max_results")
res = tavily_client.search(query, max_results=max_results)
normalized_results = [
{
"title": result["title"],
"url": result["url"],
"snippet": result["content"],
}
for result in res["results"]
]
json_results = json.dumps(normalized_results, indent=2, ensure_ascii=False)
return json_results
@tool("web_fetch", parse_docstring=True)
def web_fetch_tool(url: str) -> str:
"""Fetch the contents of a web page at a given URL.
Only fetch EXACT URLs that have been provided directly by the user or have been returned in results from the web_search and web_fetch tools.
This tool can NOT access content that requires authentication, such as private Google Docs or pages behind login walls.
Do NOT add www. to URLs that do NOT have them.
URLs must include the schema: https://example.com is a valid URL while example.com is an invalid URL.
Args:
url: The URL to fetch the contents of.
"""
res = tavily_client.extract([url])
if "failed_results" in res and len(res["failed_results"]) > 0:
return f"Error: {res["failed_results"][0]["error"]}"
elif "results" in res and len(res["results"]) > 0:
result = res["results"][0]
return f"# {result['title']}\n\n{result['raw_content']}"
else:
return "Error: No results found"