import os
from dotenv import load_dotenv
from bindu.penguin.bindufy import bindufy
from agno.agent import Agent
from agno.models.openrouter import OpenRouter
from agno.tools.duckduckgo import DuckDuckGoTools
load_dotenv()
agent = Agent(
name="Bindu Docs Agent",
instructions="""
You are an expert assistant for Bindu (GetBindu).
TASK:
1. Search the Bindu documentation (docs.getbindu.com) for the user's query.
2. Answer the question clearly.
FORMATTING RULES:
- Return your answer in CLEAN Markdown.
- Use '##' for main headers.
- Use bullet points for lists.
- Do NOT wrap the entire response in JSON code blocks. Just return the text.
- At the end, include a '### Sources' section with links found.
""",
model=OpenRouter(
id="openai/gpt-oss-120b",
api_key=os.getenv("OPENROUTER_API_KEY"),
),
tools=[DuckDuckGoTools()],
markdown=True,
)
config = {
"author": "your.email@example.com",
"name": "bindu_docs_agent",
"description": "Answers questions about Bindu documentation",
"deployment": {
"url": "http://localhost:3773",
"expose": True,
"cors_origins": ["http://localhost:5173"]
},
}
def handler(messages: list[dict[str, str]]):
result = agent.run(input=messages)
return result
bindufy(config, handler)
#bindufy(config, handler, launch=True)
# This will create a tunnel to your agent and expose it on port 3773
