repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
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values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/gibsonai.py | cookbook/14_tools/mcp/gibsonai.py | """🛢 GibsonAI MCP Server - Create and manage databases with prompts
This example shows how to connect a local GibsonAI MCP to Agno agent.
You can instantly generate, modify database schemas
and chat with your relational database using natural language.
From prompt to a serverless database (MySQL, PostgresQL, etc.), a... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/airbnb.py | cookbook/14_tools/mcp/airbnb.py | """🏠 MCP Airbnb Agent - Search for Airbnb listings!
This example shows how to create an agent that uses MCP and Gemini 2.5 Pro to search for Airbnb listings.
Run: `pip install google-genai mcp agno` to install the dependencies
"""
import asyncio
from agno.agent import Agent
from agno.models.openai.chat import Open... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/oxylabs.py | cookbook/14_tools/mcp/oxylabs.py | import asyncio
import os
from agno.agent import Agent
from agno.models.google import Gemini
from agno.tools.mcp import MCPTools
async def run_agent_prompt():
async with MCPTools(
command="uvx oxylabs-mcp",
env={
"OXYLABS_USERNAME": os.getenv("OXYLABS_USERNAME"),
"OXYLABS_P... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/include_tools.py | cookbook/14_tools/mcp/include_tools.py | import asyncio
from pathlib import Path
from textwrap import dedent
from agno.agent import Agent
from agno.models.groq import Groq
from agno.tools.mcp import MCPTools
async def run_agent(message: str) -> None:
file_path = str(Path(__file__).parents[3] / "libs/agno")
# Initialize the MCP server
async wit... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/cli.py | cookbook/14_tools/mcp/cli.py | """Show how to run an interactive CLI to interact with an agent equipped with MCP tools.
This example uses the MCP GitHub Agent. Example prompts to try:
- "List open issues in the repository"
- "Show me recent pull requests"
- "What are the repository statistics?"
- "Find issues labeled as bugs"
- "Show me contributor... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/multiple_servers_allow_partial_failure.py | cookbook/14_tools/mcp/multiple_servers_allow_partial_failure.py | """
This example demonstrates how to use multiple MCP servers in a single agent, allowing for partial failure.
This is useful if you are connecting to MCP servers that are not always available or prone to failure,
but don't want to stop the execution if some of the servers fail to connect.
Prerequisites:
- Set the en... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/stagehand.py | cookbook/14_tools/mcp/stagehand.py | """
🤖 Stagehand MCP Agent - Hacker News Reader's Digest
This example demonstrates how to use Agno's agent to create a Hacker News content using the Stagehand MCP server.
Features:
- Scrapes current Hacker News headlines and metadata
- Extracts top comments from popular stories
- Creates a structured digest with key ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/groq_mcp.py | cookbook/14_tools/mcp/groq_mcp.py | """📁 Groq + MCP = Lightning Fast Agents
This example demonstrates how to create a high-performance filesystem agent by combining
Groq's fast LLM inference with the Model Context Protocol (MCP). This combination delivers
exceptional speed while maintaining powerful filesystem exploration capabilities.
Example prompts... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/pipedream_auth.py | cookbook/14_tools/mcp/pipedream_auth.py | """
🔒 Using Pipedream MCP servers with authentication
This is an example of how to use Pipedream MCP servers with authentication.
This is useful if your app is interfacing with the MCP servers in behalf of your users.
1. Get your access token. You can check how in Pipedream's docs: https://pipedream.com/docs/connect... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/agno_mcp.py | cookbook/14_tools/mcp/agno_mcp.py | import asyncio
from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.tools.mcp import MCPTools
async def run_agent(message: str) -> None:
async with MCPTools(
transport="streamable-http", url="https://docs.agno.com/mcp"
) as agno_mcp_server:
agent = Agent(
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/pipedream_slack.py | cookbook/14_tools/mcp/pipedream_slack.py | """
💬 Pipedream Slack MCP
This example shows how to use Pipedream MCP servers (in this case the Slack one) with Agno Agents.
1. Connect your Pipedream and Slack accounts: https://mcp.pipedream.com/app/slack
2. Get your Pipedream MCP server url: https://mcp.pipedream.com/app/slack
3. Set the MCP_SERVER_URL environmen... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/supabase.py | cookbook/14_tools/mcp/supabase.py | """🔑 Supabase MCP Agent - Showcase Supabase MCP Capabilities
This example demonstrates how to use the Supabase MCP server to create create projects, database schemas, edge functions, and more.
Setup:
1. Install Python dependencies:
```bash
pip install agno mcp
```
2. Create a Supabase Access Token: https://supabas... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/mem0.py | cookbook/14_tools/mcp/mem0.py | """
👩💻 Mem0 MCP - Personalized Code Reviewer
This example demonstrates how to use Agno's MCP integration together with Mem0, to build a personalized code reviewer.
- Run your Mem0 MCP server. Full instructions: https://github.com/mem0ai/mem0-mcp
- Run: `pip install agno mcp` to install the dependencies
"""
import... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/stripe.py | cookbook/14_tools/mcp/stripe.py | """💵 Stripe MCP Agent - Manage Your Stripe Operations
This example demonstrates how to create an Agno agent that interacts with the Stripe API via the Model Context Protocol (MCP). This agent can create and manage Stripe objects like customers, products, prices, and payment links using natural language commands.
Se... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/multiple_servers.py | cookbook/14_tools/mcp/multiple_servers.py | """
This example demonstrates how to use multiple MCP servers in a single agent.
Prerequisites:
- Set the environment variable "ACCUWEATHER_API_KEY" for the weather MCP tools.
- You can get the API key from the AccuWeather website: https://developer.accuweather.com/
"""
import asyncio
from os import getenv
from agno... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/mcp_toolbox_for_db.py | cookbook/14_tools/mcp/mcp_toolbox_for_db.py | """Example code showcasing how to connect to the MCP toolbox server using the MCPToolbox Toolkit"""
import asyncio
from textwrap import dedent
from agno.agent import Agent
from agno.tools.mcp_toolbox import MCPToolbox
url = "http://127.0.0.1:5001"
async def run_agent(message: str = None) -> None:
"""Run an int... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/include_exclude_tools.py | cookbook/14_tools/mcp/include_exclude_tools.py | """
This example demonstrates how to use multiple MCP servers in a single agent.
Prerequisites:
- Google Maps:
- Set the environment variable `GOOGLE_MAPS_API_KEY` with your Google Maps API key.
You can obtain the API key from the Google Cloud Console:
https://console.cloud.google.com/projectselector2/goog... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/notion_mcp_agent.py | cookbook/14_tools/mcp/notion_mcp_agent.py | """
Notion MCP Agent - Manages your documents
This example shows how to use the Agno MCP tools to interact with your Notion workspace.
1. Start by setting up a new internal integration in Notion: https://www.notion.so/profile/integrations
2. Export your new Notion key: `export NOTION_API_KEY=ntn_****`
3. Connect your... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/graphiti.py | cookbook/14_tools/mcp/graphiti.py | """
📔 MCP Graphiti Agent - A personal diary assistant
This example demonstrates how to use Agno's MCP integration together with Graphiti, to build a personal diary assistant.
- Run your Graphiti MCP server. Full instructions: https://github.com/getzep/graphiti/tree/main/mcp_server
- Run: `pip install agno mcp openai... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/__init__.py | cookbook/14_tools/mcp/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/pipedream_linkedin.py | cookbook/14_tools/mcp/pipedream_linkedin.py | """
💻 Pipedream LinkedIn MCP
This example shows how to use Pipedream MCP servers (in this case the LinkedIn one) with Agno Agents.
1. Connect your Pipedream and LinkedIn accounts: https://mcp.pipedream.com/app/linkedin
2. Get your Pipedream MCP server url: https://mcp.pipedream.com/app/linkedin
3. Set the MCP_SERVER... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/tool_name_prefix.py | cookbook/14_tools/mcp/tool_name_prefix.py | """This example demonstrates how to add a prefix to the name of your MCP tools.
This is useful to avoid name collisions with other tools, especially when using multiple MCP servers."""
import asyncio
from agno.agent.agent import Agent
from agno.tools.mcp import MCPTools
async def run_agent():
# Development envi... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/sequential_thinking.py | cookbook/14_tools/mcp/sequential_thinking.py | """
This example demonstrates how to use multiple MCP servers in a single agent.
Prerequisites:
- Google Maps:
- Set the environment variable `GOOGLE_MAPS_API_KEY` with your Google Maps API key.
You can obtain the API key from the Google Cloud Console:
https://console.cloud.google.com/projectselector2/goog... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/github.py | cookbook/14_tools/mcp/github.py | """🐙 MCP GitHub Agent - Your Personal GitHub Explorer!
This example shows how to create a GitHub agent that uses MCP to explore,
analyze, and provide insights about GitHub repositories. The agent leverages the Model
Context Protocol (MCP) to interact with GitHub, allowing it to answer questions
about issues, pull req... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/brave.py | cookbook/14_tools/mcp/brave.py | """MCP Brave Agent - Search for Brave
This example shows how to create an agent that uses Anthropic to search for information using the Brave MCP server.
You can get the Brave API key from https://brave.com/search/api/
Run: `pip install anthropic mcp agno` to install the dependencies
"""
import asyncio
from os impo... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/parallel.py | cookbook/14_tools/mcp/parallel.py | """MCP Parallel Agent - Search for Parallel
This example shows how to create an agent that uses Parallel to search for information using the Parallel MCP server.
Run: `pip install anthropic mcp agno` to install the dependencies
Prerequisites:
- Set the environment variable "PARALLEL_API_KEY" with your Parallel API k... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/qdrant.py | cookbook/14_tools/mcp/qdrant.py | import asyncio
from os import getenv
from agno.agent import Agent
from agno.models.google import Gemini
from agno.tools.mcp import MCPTools
from agno.utils.pprint import apprint_run_response
QDRANT_URL = getenv("QDRANT_URL")
QDRANT_API_KEY = getenv("QDRANT_API_KEY")
COLLECTION_NAME = "qdrant_collection"
EMBEDDING_MOD... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/sse_transport/client.py | cookbook/14_tools/mcp/sse_transport/client.py | """
Show how to connect to MCP servers that use the SSE transport using our MCPTools and MultiMCPTools classes.
Check the README.md file for instructions on how to run these examples.
"""
import asyncio
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp import MCPTools, MultiMC... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/sse_transport/server.py | cookbook/14_tools/mcp/sse_transport/server.py | """Start an example MCP server that uses the SSE transport."""
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("calendar_assistant")
@mcp.tool()
def get_events(day: str) -> str:
return f"There are no events scheduled for {day}."
@mcp.tool()
def get_birthdays_this_week() -> str:
return "It is your mom... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/streamable_http_transport/client.py | cookbook/14_tools/mcp/streamable_http_transport/client.py | """
Show how to connect to MCP servers that use either SSE or Streamable HTTP transport using our MCPTools and MultiMCPTools classes.
Check the README.md file for instructions on how to run these examples.
"""
import asyncio
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp i... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/streamable_http_transport/server.py | cookbook/14_tools/mcp/streamable_http_transport/server.py | """Start an example MCP server that uses the Streamable HTTP transport."""
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("calendar_assistant")
@mcp.tool()
def get_events(day: str) -> str:
return f"There are no events scheduled for {day}."
@mcp.tool()
def get_birthdays_this_week() -> str:
return "It... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/mcp_toolbox_demo/agent_os.py | cookbook/14_tools/mcp/mcp_toolbox_demo/agent_os.py | from textwrap import dedent
from agno.agent import Agent
from agno.os import AgentOS
from agno.tools.mcp_toolbox import MCPToolbox
url = "http://127.0.0.1:5001"
mcp_database_tools = MCPToolbox(
url=url, toolsets=["hotel-management", "booking-system"]
)
agent = Agent(
tools=[mcp_database_tools],
instruct... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/mcp_toolbox_demo/hotel_management_workflows.py | cookbook/14_tools/mcp/mcp_toolbox_demo/hotel_management_workflows.py | #!/usr/bin/env python3
"""Sequential Workflow Demo: Hotel Search → Hotel Booking"""
import asyncio
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.tools.mcp_toolbox import MCPToolbox
from agno.workflow.condition import Step
from agno.workflow.workfl... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/mcp_toolbox_demo/hotel_management_typesafe.py | cookbook/14_tools/mcp/mcp_toolbox_demo/hotel_management_typesafe.py | import asyncio
from datetime import date
from textwrap import dedent
from typing import List, Literal
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp_toolbox import MCPToolbox
from pydantic import BaseModel, Field
url = "http://127.0.0.1:5001"
toolsets = ["hotel-management"... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/mcp_toolbox_demo/agent.py | cookbook/14_tools/mcp/mcp_toolbox_demo/agent.py | """
Simple test script that connects to the MCP toolbox server
"""
import asyncio
from textwrap import dedent
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp_toolbox import MCPToolbox
url = "http://127.0.0.1:5001"
async def run_agent(message: str) -> None:
"""Run an i... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/local_server/client.py | cookbook/14_tools/mcp/local_server/client.py | import asyncio
from agno.agent import Agent
from agno.models.groq import Groq
from agno.tools.mcp import MCPTools
async def run_agent(message: str) -> None:
# Initialize the MCP server
async with (
MCPTools(
"fastmcp run cookbook/tools/mcp/local_server/server.py", # Supply the command to... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/mcp/local_server/server.py | cookbook/14_tools/mcp/local_server/server.py | """
`fastmcp` is required for this demo.
```bash
pip install fastmcp
```
Run this with `fastmcp run cookbook/tools/mcp/local_server/server.py`
"""
from fastmcp import FastMCP
mcp = FastMCP("weather_tools")
@mcp.tool()
def get_weather(city: str) -> str:
return f"The weather in {city} is sunny"
@mcp.tool()
de... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/human_in_the_loop.py | cookbook/14_tools/other/human_in_the_loop.py | """🤝 Human-in-the-Loop: Adding User Confirmation to Tool Calls
This example shows how to implement human-in-the-loop functionality in your Agno tools.
It shows how to:
- Add pre-hooks to tools for user confirmation
- Handle user input during tool execution
- Gracefully cancel operations based on user choice
Some pra... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/cache_tool_calls.py | cookbook/14_tools/other/cache_tool_calls.py | import asyncio
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.yfinance import YFinanceTools
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
tools=[DuckDuckGoTools(cache_results=True), YFinanceTools(cache_results=True)... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/include_exclude_tools_custom_toolkit.py | cookbook/14_tools/other/include_exclude_tools_custom_toolkit.py | import asyncio
import json
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools import Toolkit
from agno.utils.log import logger
class CustomerDBTools(Toolkit):
def __init__(self, *args, **kwargs):
super().__init__(
name="customer_db",
tools=[self... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/stop_after_tool_call_dual_inheritance.py | cookbook/14_tools/other/stop_after_tool_call_dual_inheritance.py | """
Example showing stop_after_tool_call_tools with dual inheritance.
This demonstrates that stop_after_tool_call_tools works correctly even when
the Toolkit class uses multiple inheritance.
"""
from agno.agent import Agent
from agno.tools import Toolkit
class BaseConfig:
"""Base configuration class for dual in... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/add_tool_after_initialization.py | cookbook/14_tools/other/add_tool_after_initialization.py | import random
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools import tool
@tool(stop_after_tool_call=True)
def get_weather(city: str) -> str:
"""Get the weather for a city."""
# In a real implementation, this would call a weather API
weather_conditions = ["sunny", "... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/complex_input_types.py | cookbook/14_tools/other/complex_input_types.py | """
This example shows how to use complex input types with tools.
Recommendations:
- Specify fields with descriptions, these will be used in the JSON schema sent to the model and will increase accuracy.
- Try not to nest the structures too deeply, the model will have a hard time understanding them.
"""
from datetime ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/stop_after_tool_call.py | cookbook/14_tools/other/stop_after_tool_call.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=OpenAIChat(id="gpt-5-mini"),
tools=[
DuckDuckGoTools(
stop_after_tool_call_tools=["duckduckgo_search"],
show_result_tools=["duckduckgo_se... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/include_exclude_tools.py | cookbook/14_tools/other/include_exclude_tools.py | import asyncio
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.calculator import CalculatorTools
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
tools=[
CalculatorTools(
exclude_tools=["exponentiate... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/__init__.py | cookbook/14_tools/other/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/session_state_tool.py | cookbook/14_tools/other/session_state_tool.py | """Example demonstrating how to manipulate the session_state in a tool."""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.run import RunContext
from agno.tools import tool
from agno.tools.duckduckgo import DuckDuckGoTools
from pydantic import BaseModel
@tool()
def answer_from_known_questi... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/other/stop_after_tool_call_in_toolkit.py | cookbook/14_tools/other/stop_after_tool_call_in_toolkit.py | """
Example showing how to use stop_after_tool_call_tools parameter in a Toolkit.
This demonstrates using stop_after_tool_call_tools without the @tool decorator,
which is the recommended approach for class methods that need to stop the agent
after execution.
"""
from agno.agent import Agent
from agno.tools import Too... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/tool_decorator/async_tool_decorator.py | cookbook/14_tools/tool_decorator/async_tool_decorator.py | import asyncio
import json
from typing import AsyncIterator
import httpx
from agno.agent import Agent
from agno.tools import tool
@tool(show_result=True)
async def get_top_hackernews_stories(agent: Agent) -> AsyncIterator[str]:
num_stories = agent.dependencies.get("num_stories", 5) if agent.dependencies else 5
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/tool_decorator/cache_tool_calls.py | cookbook/14_tools/tool_decorator/cache_tool_calls.py | import json
import httpx
from agno.agent import Agent
from agno.tools import tool
@tool(stop_after_tool_call=True, cache_results=True)
def get_top_hackernews_stories(num_stories: int = 5) -> str:
# Fetch top story IDs
response = httpx.get("https://hacker-news.firebaseio.com/v0/topstories.json")
story_ids... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/tool_decorator/tool_decorator_on_class_method.py | cookbook/14_tools/tool_decorator/tool_decorator_on_class_method.py | from typing import Generator
from agno.agent import Agent
from agno.tools import Toolkit, tool
class MyToolkit(Toolkit):
def __init__(self, multiplier: int = 2):
"""Initialize the toolkit with a configurable multiplier."""
self.multiplier = multiplier
# Initialize Toolkit with the decora... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/tool_decorator/tool_decorator_with_hook.py | cookbook/14_tools/tool_decorator/tool_decorator_with_hook.py | """Show how to decorate a custom hook with a tool execution hook."""
import json
import time
from typing import Any, Callable, Dict
import httpx
from agno.agent import Agent
from agno.tools import tool
from agno.utils.log import logger
def duration_logger_hook(
function_name: str, function_call: Callable, argum... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/tool_decorator/tool_decorator_with_instructions.py | cookbook/14_tools/tool_decorator/tool_decorator_with_instructions.py | import httpx
from agno.agent import Agent
from agno.tools import tool
@tool(
name="fetch_hackernews_stories",
description="Get top stories from Hacker News",
show_result=True,
instructions="""
Use this tool when:
1. The user wants to see recent popular tech news or discussions
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/tool_decorator/tool_decorator_async.py | cookbook/14_tools/tool_decorator/tool_decorator_async.py | import asyncio
import json
import httpx
from agno.agent import Agent
from agno.tools import tool
class DemoTools:
@tool(description="Get the top hackernews stories")
@staticmethod
async def get_top_hackernews_stories(agent: Agent):
num_stories = (
agent.dependencies.get("num_stories",... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/tool_decorator/stop_after_tool_call.py | cookbook/14_tools/tool_decorator/stop_after_tool_call.py | from agno.agent import Agent
from agno.tools import tool
@tool(stop_after_tool_call=True)
def get_answer_to_life_universe_and_everything() -> str:
"""
This returns the answer to the life, the universe and everything.
"""
return "42"
agent = Agent(
tools=[get_answer_to_life_universe_and_everythin... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/14_tools/tool_decorator/tool_decorator.py | cookbook/14_tools/tool_decorator/tool_decorator.py | import json
from typing import Iterator
import httpx
from agno.agent import Agent
from agno.tools import tool
@tool(show_result=True)
def get_top_hackernews_stories(agent: Agent) -> Iterator[str]:
num_stories = agent.dependencies.get("num_stories", 5) if agent.dependencies else 5
# Fetch top story IDs
r... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/__init__.py | cookbook/12_evals/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/instantiate_team.py | cookbook/12_evals/performance/instantiate_team.py | """Run `pip install agno openai` to install dependencies."""
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
from agno.team.team import Team
team_member = Agent(model=OpenAIChat(id="gpt-4o"))
def instantiate_team():
return Team(members=[te... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/response_with_storage.py | cookbook/12_evals/performance/response_with_storage.py | """Run `pip install openai agno` to install dependencies."""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
db = SqliteDb(db_file="tmp/storage.db")
def run_agent():
agent = Agent(
model=OpenAICh... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/team_response_with_memory_and_reasoning.py | cookbook/12_evals/performance/team_response_with_memory_and_reasoning.py | import asyncio
import random
import uuid
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIResponses
from agno.team.team import Team
from agno.tools.reasoning import ReasoningTools
users = [
"abel@example.com... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | true |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/team_response_with_memory_simple.py | cookbook/12_evals/performance/team_response_with_memory_simple.py | import asyncio
import random
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
from agno.team.team import Team
cities = [
"New York",
"Los Angeles",
"Chicago",
"Houston",
"Miami",
"Sa... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/simple_response.py | cookbook/12_evals/performance/simple_response.py | """Run `pip install openai agno memory_profiler` to install dependencies."""
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
def run_agent():
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
system_message="Be concise, rep... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/db_logging.py | cookbook/12_evals/performance/db_logging.py | """Example showing how to store evaluation results in the database."""
from agno.agent import Agent
from agno.db.postgres.postgres import PostgresDb
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
# Simple function to run an agent which performance we will evaluate
def run... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/async_function.py | cookbook/12_evals/performance/async_function.py | """This example shows how to run a Performance evaluation on an async function."""
import asyncio
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
# Simple async function to run an Agent.
async def arun_agent():
agent = Agent(
model... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/response_with_memory_updates.py | cookbook/12_evals/performance/response_with_memory_updates.py | """Run `pip install openai agno memory_profiler` to install dependencies."""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
# Memory creation requires a db to be provided
db = SqliteDb(db_file="tmp/memory.db"... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/team_response_with_memory_multi_user.py | cookbook/12_evals/performance/team_response_with_memory_multi_user.py | import asyncio
import random
import uuid
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
from agno.team.team import Team
users = [
"abel@example.com",
"ben@example.com",
"charlie@example.com",
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/__init__.py | cookbook/12_evals/performance/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/instantiate_agent_with_tool.py | cookbook/12_evals/performance/instantiate_agent_with_tool.py | """Run `pip install agno openai memory_profiler` to install dependencies."""
from typing import Literal
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
def get_weather(city: Literal["nyc", "sf"]):
"""Use this to get weather information."""... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/instantiate_agent.py | cookbook/12_evals/performance/instantiate_agent.py | """Run `pip install agno openai` to install dependencies."""
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
def instantiate_agent():
return Agent(system_message="Be concise, reply with one sentence.")
instantiation_perf = PerformanceEval(
name="Instantiation Performance", fu... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/comparison/smolagents_instantiation.py | cookbook/12_evals/performance/comparison/smolagents_instantiation.py | """Run `pip install smolagents` to install dependencies."""
from agno.eval.performance import PerformanceEval
from smolagents import InferenceClientModel, Tool, ToolCallingAgent
class WeatherTool(Tool):
name = "weather_tool"
description = """
This is a tool that tells the weather"""
inputs = {
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/comparison/langgraph_instantiation.py | cookbook/12_evals/performance/comparison/langgraph_instantiation.py | """Run `pip install langgraph langchain_openai` to install dependencies."""
from typing import Literal
from agno.eval.performance import PerformanceEval
from langchain_core.tools import tool
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
@tool
def get_weather(city: Literal... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/comparison/autogen_instantiation.py | cookbook/12_evals/performance/comparison/autogen_instantiation.py | """Run `pip install autogen-agentchat "autogen-ext[openai]"` to install dependencies."""
from typing import Literal
from agno.eval.performance import PerformanceEval
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
def get_weather(city: Literal["ny... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/comparison/pydantic_ai_instantiation.py | cookbook/12_evals/performance/comparison/pydantic_ai_instantiation.py | """Run `pip install openai pydantic-ai` to install dependencies."""
from typing import Literal
from agno.eval.performance import PerformanceEval
from pydantic_ai import Agent
def instantiate_agent():
agent = Agent("openai:gpt-4o", system_prompt="Be concise, reply with one sentence.")
@agent.tool_plain
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/comparison/crewai_instantiation.py | cookbook/12_evals/performance/comparison/crewai_instantiation.py | """Run `pip install openai crewai` to install dependencies."""
from typing import Literal
from agno.eval.performance import PerformanceEval
from crewai.agent import Agent
from crewai.tools import tool
@tool("Tool Name")
def get_weather(city: Literal["nyc", "sf"]):
"""Use this to get weather information."""
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/comparison/openai_agents_instantiation.py | cookbook/12_evals/performance/comparison/openai_agents_instantiation.py | """Run `pip install agents` to install dependencies."""
from typing import Literal
from agno.eval.performance import PerformanceEval
try:
from agents import Agent, function_tool
except ImportError:
raise ImportError(
"OpenAI agents not installed. Please install it using `pip install agents`."
)
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/performance/comparison/__init__.py | cookbook/12_evals/performance/comparison/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/accuracy/accuracy_with_given_answer.py | cookbook/12_evals/accuracy/accuracy_with_given_answer.py | from typing import Optional
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
evaluation = AccuracyEval(
name="Given Answer Evaluation",
model=OpenAIChat(id="o4-mini"),
input="What is 10*5 then to the power of 2? do it step by step",
expected_output=... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/accuracy/evaluator_agent.py | cookbook/12_evals/accuracy/evaluator_agent.py | """Example showing how to use a custom evaluator agent to evaluate the accuracy of an Agent."""
from typing import Optional
from agno.agent import Agent
from agno.eval.accuracy import AccuracyAgentResponse, AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
from agno.tools.calculator import Calcul... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/accuracy/accuracy_9_11_bigger_or_9_99.py | cookbook/12_evals/accuracy/accuracy_9_11_bigger_or_9_99.py | from typing import Optional
from agno.agent import Agent
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
from agno.tools.calculator import CalculatorTools
evaluation = AccuracyEval(
name="Comparison Evaluation",
model=OpenAIChat(id="o4-mini"),
agent=Ag... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/accuracy/db_logging.py | cookbook/12_evals/accuracy/db_logging.py | """Example showing how to store evaluation results in the database."""
from typing import Optional
from agno.agent import Agent
from agno.db.postgres.postgres import PostgresDb
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
from agno.tools.calculator import Calcu... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/accuracy/accuracy_basic.py | cookbook/12_evals/accuracy/accuracy_basic.py | from typing import Optional
from agno.agent import Agent
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
from agno.tools.calculator import CalculatorTools
evaluation = AccuracyEval(
name="Calculator Evaluation",
model=OpenAIChat(id="o4-mini"),
agent=Ag... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/accuracy/accuracy_with_tools.py | cookbook/12_evals/accuracy/accuracy_with_tools.py | from typing import Optional
from agno.agent import Agent
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
from agno.tools.calculator import CalculatorTools
evaluation = AccuracyEval(
name="Tools Evaluation",
model=OpenAIChat(id="o4-mini"),
agent=Agent(
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/accuracy/__init__.py | cookbook/12_evals/accuracy/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/accuracy/accuracy_team.py | cookbook/12_evals/accuracy/accuracy_team.py | from typing import Optional
from agno.agent import Agent
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
from agno.team.team import Team
# Setup a team with two members
english_agent = Agent(
name="English Agent",
role="You only answer in English",
mod... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/accuracy/accuracy_async.py | cookbook/12_evals/accuracy/accuracy_async.py | """This example shows how to run an Accuracy evaluation asynchronously."""
import asyncio
from typing import Optional
from agno.agent import Agent
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
from agno.tools.calculator import CalculatorTools
evaluation = Accur... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/reliability/db_logging.py | cookbook/12_evals/reliability/db_logging.py | """Example showing how to store evaluation results in the database."""
from typing import Optional
from agno.agent import Agent
from agno.db.postgres.postgres import PostgresDb
from agno.eval.reliability import ReliabilityEval, ReliabilityResult
from agno.models.openai import OpenAIChat
from agno.run.agent import Run... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/reliability/__init__.py | cookbook/12_evals/reliability/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/reliability/reliability_async.py | cookbook/12_evals/reliability/reliability_async.py | """This example shows how to run a Reliability evaluation asynchronously."""
import asyncio
from typing import Optional
from agno.agent import Agent
from agno.eval.reliability import ReliabilityEval, ReliabilityResult
from agno.models.openai import OpenAIChat
from agno.run.agent import RunOutput
from agno.tools.calcu... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/reliability/single_tool_calls/calculator.py | cookbook/12_evals/reliability/single_tool_calls/calculator.py | from typing import Optional
from agno.agent import Agent
from agno.eval.reliability import ReliabilityEval, ReliabilityResult
from agno.models.openai import OpenAIChat
from agno.run.agent import RunOutput
from agno.tools.calculator import CalculatorTools
def factorial():
agent = Agent(
model=OpenAIChat(i... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/reliability/single_tool_calls/__init__.py | cookbook/12_evals/reliability/single_tool_calls/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/reliability/multiple_tool_calls/calculator.py | cookbook/12_evals/reliability/multiple_tool_calls/calculator.py | from typing import Optional
from agno.agent import Agent
from agno.eval.reliability import ReliabilityEval, ReliabilityResult
from agno.models.openai import OpenAIChat
from agno.run.agent import RunOutput
from agno.tools.calculator import CalculatorTools
def multiply_and_exponentiate():
agent = Agent(
mo... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/reliability/multiple_tool_calls/__init__.py | cookbook/12_evals/reliability/multiple_tool_calls/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/reliability/team/ai_news.py | cookbook/12_evals/reliability/team/ai_news.py | from typing import Optional
from agno.agent import Agent
from agno.eval.reliability import ReliabilityEval, ReliabilityResult
from agno.models.openai import OpenAIChat
from agno.run.team import TeamRunOutput
from agno.team.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
team_member = Agent(
nam... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/reliability/team/__init__.py | cookbook/12_evals/reliability/team/__init__.py | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false | |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/agent_as_judge/agent_as_judge_post_hook.py | cookbook/12_evals/agent_as_judge/agent_as_judge_post_hook.py | """AgentAsJudgeEval as post-hook example."""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.eval.agent_as_judge import AgentAsJudgeEval
from agno.models.openai import OpenAIChat
# Setup database to persist eval results
db = SqliteDb(db_file="tmp/agent_as_judge_post_hook.db")
# Eval runs a... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/agent_as_judge/agent_as_judge_async.py | cookbook/12_evals/agent_as_judge/agent_as_judge_async.py | """Async AgentAsJudgeEval usage example with async on_fail callback."""
import asyncio
from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb
from agno.eval.agent_as_judge import AgentAsJudgeEval, AgentAsJudgeEvaluation
from agno.models.openai import OpenAIChat
def on_evaluation_failure(evaluation: A... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/agent_as_judge/agent_as_judge_team.py | cookbook/12_evals/agent_as_judge/agent_as_judge_team.py | """AgentAsJudgeEval with teams."""
from typing import Optional
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.eval.agent_as_judge import AgentAsJudgeEval, AgentAsJudgeResult
from agno.models.openai import OpenAIChat
from agno.team.team import Team
# Setup database to persist eval results
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/agent_as_judge/agent_as_judge_with_guidelines.py | cookbook/12_evals/agent_as_judge/agent_as_judge_with_guidelines.py | """AgentAsJudgeEval with additional guidelines."""
from typing import Optional
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.eval.agent_as_judge import AgentAsJudgeEval, AgentAsJudgeResult
from agno.models.openai import OpenAIChat
# Setup database to persist eval results
db = SqliteDb(db... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/agent_as_judge/agent_as_judge_team_post_hook.py | cookbook/12_evals/agent_as_judge/agent_as_judge_team_post_hook.py | """AgentAsJudgeEval as post-hook on Team."""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.eval.agent_as_judge import AgentAsJudgeEval
from agno.models.openai import OpenAIChat
from agno.team.team import Team
# Setup database to persist eval results
db = SqliteDb(db_file="tmp/agent_as_jud... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/12_evals/agent_as_judge/agent_as_judge_with_tools.py | cookbook/12_evals/agent_as_judge/agent_as_judge_with_tools.py | """AgentAsJudgeEval with agents using tools."""
from typing import Optional
from agno.agent import Agent
from agno.eval.agent_as_judge import AgentAsJudgeEval, AgentAsJudgeResult
from agno.models.openai import OpenAIChat
from agno.tools.calculator import CalculatorTools
agent = Agent(
model=OpenAIChat(id="gpt-4o... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
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