Agno

pip install valiqor agno

import valiqor.auto  # ← Add this line

from agno.agent import Agent
from agno.models.openai import OpenAIChat

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    description="You are a helpful research assistant",
    instructions=["Be concise", "Cite sources"]
)

# Async agent run — automatically traced
import asyncio
response = asyncio.run(agent.arun("What are the latest AI trends?"))
print(response.content)

from valiqor.trace import agno_autolog

agno_autolog()

import valiqor.auto
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[DuckDuckGoTools()],
    description="You are a research assistant with web search"
)

import asyncio
response = asyncio.run(agent.arun("Search for recent news about AI safety"))

import valiqor.auto
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp import MCPTools

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[MCPTools(server_name="my-server", transport="sse", url="http://localhost:8080")]
)

import valiqor.auto
from valiqor.trace import trace_workflow
from agno.agent import Agent
from agno.models.openai import OpenAIChat

researcher = Agent(model=OpenAIChat(id="gpt-4o"), description="Research agent")
writer = Agent(model=OpenAIChat(id="gpt-4o"), description="Writing agent")

async def main():
    with trace_workflow("research-and-write"):
        # Step 1: Research
        research = await researcher.arun("Find key facts about quantum computing")

        # Step 2: Write article
        article = await writer.arun(f"Write an article based on: {research.content}")

import asyncio
asyncio.run(main())

from valiqor.trace import disable_autolog

disable_autolog("agno")    # Disable Agno only
disable_autolog()          # Disable all providers