repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
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agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_10_other/workflow_with_image_input.py | cookbook/05_workflows/_06_advanced_concepts/_10_other/workflow_with_image_input.py | from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.media import Image
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
# Define agents
image_analyzer = Agent(
name="Ima... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_10_other/workflow_tools.py | cookbook/05_workflows/_06_advanced_concepts/_10_other/workflow_tools.py | """
Here is a tool with reasoning capabilities to allow agents to run workflows.
1. Run: `pip install openai agno lancedb tantivy sqlalchemy` to install the dependencies
2. Export your OPENAI_API_KEY
3. Run: `python cookbook/workflows/_06_advanced_concepts/_06_other/workflow_tools.py` to run the agent
"""
import asyn... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_10_other/stream_executor_events.py | cookbook/05_workflows/_06_advanced_concepts/_10_other/stream_executor_events.py | """
Example: Using stream_executor_events=False for cleaner workflow streaming.
This filters out internal executor events (AgentRunEvent, ToolCallEvent, etc.)
while keeping high-level workflow and step events.
"""
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.workflow.step import St... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_10_other/workflow_metrics_on_run_response.py | cookbook/05_workflows/_06_advanced_concepts/_10_other/workflow_metrics_on_run_response.py | import json
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.run.workflow import WorkflowRunOutput
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.step 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/05_workflows/_06_advanced_concepts/_10_other/store_events_and_events_to_skip_in_a_workflow.py | cookbook/05_workflows/_06_advanced_concepts/_10_other/store_events_and_events_to_skip_in_a_workflow.py | from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.run.agent import (
RunContentEvent,
RunEvent,
ToolCallCompletedEvent,
ToolCallStartedEvent,
)
from agno.run.workflow import WorkflowRunEvent, WorkflowRunOutput
from agno.tools.hackernews ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_10_other/workflow_with_file_input.py | cookbook/05_workflows/_06_advanced_concepts/_10_other/workflow_with_file_input.py | from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.media import File
from agno.models.openai import OpenAIChat
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
# Define agents
pdf_analyzer = Agent(
name="PDF Analyzer",
model=OpenAIChat(id="gpt-4o"),
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/05_workflows/_06_advanced_concepts/_10_other/workflow_cancel_a_run.py | cookbook/05_workflows/_06_advanced_concepts/_10_other/workflow_cancel_a_run.py | """
Example demonstrating how to cancel a running workflow execution.
This example shows how to:
1. Start a workflow run in a separate thread
2. Cancel the run from another thread
3. Handle the cancelled response
"""
import threading
import time
from agno.agent import Agent
from agno.models.openai import OpenAIChat
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_agents.py | cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_agents.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.workflow import Workflow
from agno.workflow.types import StepInput, StepOutput
# Create agents with more specific validation criteria
data_validator = Agent(
name="Data Validator",
model=OpenAIChat(id="gpt-4o-mini"),
instructi... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_condition.py | cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_condition.py | from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.workflow import Step, Workflow
from agno.workflow.condition import Condition
from agno.workflow.types import StepInput, StepOutput
# Create agents
researcher = Agent(
name="Researcher",
instructions="Research the given top... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_parallel.py | cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_parallel.py | from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow import Step, Workflow
from agno.workflow.parallel import Parallel
from agno.workflow.types import StepInput, StepOutput
# Create agents
researcher = Agent(name="Researcher... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_loop.py | cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_loop.py | from typing import List
from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow import Loop, Step, Workflow
from agno.workflow.types import StepInput, StepOutput
# Create agents for research
research_agent = Agent(
name="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/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_router.py | cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_router.py | from typing import List
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.types import StepInput, StepOutput
from agno.workflow.workflow im... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_step.py | cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_step.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.workflow import Step, Workflow
from agno.workflow.types import StepInput, StepOutput
# Create agents
security_scanner = Agent(
name="Security Scanner",
model=OpenAIChat(id="gpt-4o-mini"),
instructions=[
"You are a secu... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_steps.py | cookbook/05_workflows/_06_advanced_concepts/_02_early_stopping/early_stop_workflow_with_steps.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.workflow.step import Step
from agno.workflow.steps import Steps
from agno.workflow.types import StepInput, StepOutput
from agno.workflow.workflow import Workflow
# Create agents
content_cr... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_03_access_previous_step_outputs/access_multiple_previous_steps_output_stream.py | cookbook/05_workflows/_06_advanced_concepts/_03_access_previous_step_outputs/access_multiple_previous_steps_output_stream.py | from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.step import Step
from agno.workflow.types import StepInput, StepOutput
from agno.workflow.workflow import Workflow
# Define the research agents
hackernews_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/05_workflows/_06_advanced_concepts/_03_access_previous_step_outputs/access_multiple_previous_steps_output_stream_1.py | cookbook/05_workflows/_06_advanced_concepts/_03_access_previous_step_outputs/access_multiple_previous_steps_output_stream_1.py | """
This example shows how to access the output of multiple previous steps in a workflow.
The workflow is defined as a list of Step objects. Where each Step is an agent or a function.
"""
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsT... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_03_access_previous_step_outputs/access_multiple_previous_step_output_stream_2.py | cookbook/05_workflows/_06_advanced_concepts/_03_access_previous_step_outputs/access_multiple_previous_step_output_stream_2.py | """
This example shows how to access the output of multiple previous steps in a workflow.
The workflow is defined as a list of steps, where each step is directly an agent or a function.
We dont use Step objects in this example.
"""
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
f... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_05_background_execution/background_execution_poll.py | cookbook/05_workflows/_06_advanced_concepts/_05_background_execution/background_execution_poll.py | import asyncio
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.utils.pprint import pprint_run_response
from agno.workflow.s... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_05_background_execution/background_execution_using_websocket/websocket_server.py | cookbook/05_workflows/_06_advanced_concepts/_05_background_execution/background_execution_using_websocket/websocket_server.py | import json
import os
from typing import Dict
import uvicorn
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.step import Step
from agno.workf... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_05_background_execution/background_execution_using_websocket/websocket_client.py | cookbook/05_workflows/_06_advanced_concepts/_05_background_execution/background_execution_using_websocket/websocket_client.py | import asyncio
import json
import sys
from datetime import datetime
from typing import Optional
import websockets
from rich.align import Align
from rich.console import Console
from rich.panel import Panel
from rich.text import Text
class WorkflowWebSocketClient:
def __init__(
self,
server_url: st... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_06_guardrails/prompt_injection_workflow.py | cookbook/05_workflows/_06_advanced_concepts/_06_guardrails/prompt_injection_workflow.py | """
Example demonstrating how to use prompt injection guardrails in an async workflow.
This example shows:
1. An async workflow with a guardrail-protected agent as the first step
2. How prompt injection attempts are blocked before processing
3. A second agent that processes validated content
"""
import asyncio
from ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_06_guardrails/__init__.py | cookbook/05_workflows/_06_advanced_concepts/_06_guardrails/__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/05_workflows/_06_advanced_concepts/_04_shared_session_state/session_state_with_router_workflow.py | cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/session_state_with_router_workflow.py | from typing import List
from agno.agent.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai.chat import OpenAIChat
from agno.run import RunContext
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.types import StepInput
from agno.workflow.workflow... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/condition_with_session_state_in_evaluator_function.py | cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/condition_with_session_state_in_evaluator_function.py | """
Example demonstrating how to access session_state in Condition evaluators.
This example shows:
1. Using session_state in a Condition evaluator function
2. Reading and modifying session_state based on condition logic
3. Accessing user_id and session_id from session_state
4. Making conditional decisions based on ses... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/shared_session_state_with_team.py | cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/shared_session_state_with_team.py | from agno.agent.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai.chat import OpenAIChat
from agno.run import RunContext
from agno.team.team import Team
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
db = SqliteDb(db_file="tmp/workflow.db")
# === TEAM 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/05_workflows/_06_advanced_concepts/_04_shared_session_state/shared_session_state_with_agent.py | cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/shared_session_state_with_agent.py | from agno.agent.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai.chat import OpenAIChat
from agno.run import RunContext
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
db = SqliteDb(db_file="tmp/workflow.db")
# Define tools to manage a shopping list in wo... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/access_session_state_in_custom_python_function_step.py | cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/access_session_state_in_custom_python_function_step.py | from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.step import Step, StepInput, StepOutput
from agno.workflow.workflow... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/access_session_state_in_custom_function_step_stream.py | cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/access_session_state_in_custom_function_step_stream.py | from typing import Iterator, Union
from agno.agent import Agent
from agno.db.in_memory import InMemoryDb
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.run.workflow import WorkflowRunOutputEvent
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from 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/05_workflows/_06_advanced_concepts/_04_shared_session_state/router_with_session_state_in_selector_function.py | cookbook/05_workflows/_06_advanced_concepts/_04_shared_session_state/router_with_session_state_in_selector_function.py | """
Example demonstrating how to access session_state in Router selectors.
This example shows:
1. Using session_state in a Router selector function
2. Making routing decisions based on session state data
3. Accessing user preferences and history from session_state
4. Dynamically selecting different agents based on use... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_04_workflows_parallel_execution/__init__.py | cookbook/05_workflows/_04_workflows_parallel_execution/__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/05_workflows/_04_workflows_parallel_execution/async/parallel_steps_workflow.py | cookbook/05_workflows/_04_workflows_parallel_execution/async/parallel_steps_workflow.py | import asyncio
from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow import Step, Workflow
from agno.workflow.parallel import Parallel
# Create agents
researcher = Agent(name="Researcher", tools=[HackerNewsTools(), DuckDuckG... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_04_workflows_parallel_execution/async/parallel_and_condition_steps_stream.py | cookbook/05_workflows/_04_workflows_parallel_execution/async/parallel_and_condition_steps_stream.py | import asyncio
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.exa import ExaTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.condition import Condition
from agno.workflow.parallel import Parallel
from agno.workflow.step import Step
from 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/05_workflows/_04_workflows_parallel_execution/async/__init__.py | cookbook/05_workflows/_04_workflows_parallel_execution/async/__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/05_workflows/_04_workflows_parallel_execution/async/parallel_steps_workflow_stream.py | cookbook/05_workflows/_04_workflows_parallel_execution/async/parallel_steps_workflow_stream.py | import asyncio
from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow import Step, Workflow
from agno.workflow.parallel import Parallel
# Create agents
researcher = Agent(name="Researcher", tools=[HackerNewsTools(), DuckDuckG... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_04_workflows_parallel_execution/sync/parallel_steps_workflow.py | cookbook/05_workflows/_04_workflows_parallel_execution/sync/parallel_steps_workflow.py | from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow import Step, Workflow
from agno.workflow.parallel import Parallel
# Create agents
researcher = Agent(name="Researcher", tools=[HackerNewsTools(), DuckDuckGoTools()])
write... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_04_workflows_parallel_execution/sync/parallel_and_condition_steps_stream.py | cookbook/05_workflows/_04_workflows_parallel_execution/sync/parallel_and_condition_steps_stream.py | from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.exa import ExaTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.condition import Condition
from agno.workflow.parallel import Parallel
from agno.workflow.step import Step
from agno.workflow.types 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/05_workflows/_04_workflows_parallel_execution/sync/__init__.py | cookbook/05_workflows/_04_workflows_parallel_execution/sync/__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/05_workflows/_04_workflows_parallel_execution/sync/parallel_steps_workflow_stream.py | cookbook/05_workflows/_04_workflows_parallel_execution/sync/parallel_steps_workflow_stream.py | from agno.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow import Step, Workflow
from agno.workflow.parallel import Parallel
# Create agents
researcher = Agent(name="Researcher", tools=[HackerNewsTools(), DuckDuckGoTools()])
write... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_05_workflows_conditional_branching/__init__.py | cookbook/05_workflows/_05_workflows_conditional_branching/__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/05_workflows/_05_workflows_conditional_branching/async/router_steps_workflow_stream.py | cookbook/05_workflows/_05_workflows_conditional_branching/async/router_steps_workflow_stream.py | import asyncio
from typing import List
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.types import StepInput
from agno.workflow.workflow... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_05_workflows_conditional_branching/async/router_steps_workflow.py | cookbook/05_workflows/_05_workflows_conditional_branching/async/router_steps_workflow.py | import asyncio
from typing import List
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.types import StepInput
from agno.workflow.workflow... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_05_workflows_conditional_branching/async/router_with_loop_steps.py | cookbook/05_workflows/_05_workflows_conditional_branching/async/router_with_loop_steps.py | import asyncio
from typing import List
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.loop import Loop
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.types import S... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_05_workflows_conditional_branching/async/selector_for_image_video_generation_pipeline.py | cookbook/05_workflows/_05_workflows_conditional_branching/async/selector_for_image_video_generation_pipeline.py | import asyncio
from typing import List, Optional
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.models.gemini import GeminiTools
from agno.tools.openai import OpenAITools
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.steps 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/05_workflows/_05_workflows_conditional_branching/sync/router_steps_workflow_stream.py | cookbook/05_workflows/_05_workflows_conditional_branching/sync/router_steps_workflow_stream.py | from typing import List
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.types import StepInput
from agno.workflow.workflow import Workflo... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_05_workflows_conditional_branching/sync/router_steps_workflow.py | cookbook/05_workflows/_05_workflows_conditional_branching/sync/router_steps_workflow.py | from typing import List
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.types import StepInput
from agno.workflow.workflow import Workflo... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_05_workflows_conditional_branching/sync/router_with_loop_steps.py | cookbook/05_workflows/_05_workflows_conditional_branching/sync/router_with_loop_steps.py | from typing import List
from agno.agent.agent import Agent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.loop import Loop
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.types import StepInput, StepO... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/05_workflows/_05_workflows_conditional_branching/sync/selector_for_image_video_generation_pipelines.py | cookbook/05_workflows/_05_workflows_conditional_branching/sync/selector_for_image_video_generation_pipelines.py | from typing import List, Optional
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.models.gemini import GeminiTools
from agno.tools.openai import OpenAITools
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.steps import Steps
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/10_reasoning/__init__.py | cookbook/10_reasoning/__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/10_reasoning/tools/ibm_watsonx_reasoning_tools.py | cookbook/10_reasoning/tools/ibm_watsonx_reasoning_tools.py | from textwrap import dedent
from agno.agent import Agent, RunOutput # noqa
from agno.models.ibm import WatsonX
from agno.tools.reasoning import ReasoningTools
"""🧠 Problem-Solving Reasoning Agent
This example shows how to create an agent that uses the ReasoningTools to solve
complex problems through step-by-step 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/10_reasoning/tools/gemini_reasoning_tools.py | cookbook/10_reasoning/tools/gemini_reasoning_tools.py | from agno.agent import Agent
from agno.models.google import Gemini
from agno.tools.reasoning import ReasoningTools
from agno.tools.yfinance import YFinanceTools
reasoning_agent = Agent(
model=Gemini(id="gemini-2.5-pro"),
tools=[
ReasoningTools(
enable_think=True,
enable_analyze=... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/workflow_tools.py | cookbook/10_reasoning/tools/workflow_tools.py | """
1. Run: `pip install openai agno lancedb tantivy sqlalchemy` to install the dependencies
2. Export your OPENAI_API_KEY
3. Run: `python cookbook/reasoning/tools/knowledge_tools.py` to run the agent
"""
from textwrap import dedent
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.ope... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/reasoning_tools.py | cookbook/10_reasoning/tools/reasoning_tools.py | """🧠 Problem-Solving Reasoning Agent
This example shows how to create an agent that uses the ReasoningTools to solve
complex problems through step-by-step reasoning. The agent breaks down questions,
analyzes intermediate results, and builds structured reasoning paths to arrive at
well-justified conclusions.
Example ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/llama_reasoning_tools.py | cookbook/10_reasoning/tools/llama_reasoning_tools.py | from agno.agent import Agent
from agno.models.meta import Llama
from agno.tools.reasoning import ReasoningTools
from agno.tools.yfinance import YFinanceTools
reasoning_agent = Agent(
model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8"),
tools=[
ReasoningTools(
enable_think=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/10_reasoning/tools/memory_tools.py | cookbook/10_reasoning/tools/memory_tools.py | """
1. Run: `pip install openai agno lancedb tantivy sqlalchemy` to install the dependencies
2. Export your OPENAI_API_KEY
3. Run: `python cookbook/reasoning/tools/knowledge_tools.py` to run the agent
"""
import asyncio
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import Op... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/capture_reasoning_content_reasoning_tools.py | cookbook/10_reasoning/tools/capture_reasoning_content_reasoning_tools.py | """Test for reasoning_content generation
This script tests whether reasoning_content is properly populated in the RunOutput
when using ReasoningTools. It tests both streaming and non-streaming modes.
"""
from textwrap import dedent
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tool... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/claude_reasoning_tools.py | cookbook/10_reasoning/tools/claude_reasoning_tools.py | from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools
reasoning_agent = Agent(
model=Claude(id="claude-sonnet-4-20250514"),
tools=[
ReasoningTools(add_instructions=True),
DuckDuckGo... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/gemini_finance_agent.py | cookbook/10_reasoning/tools/gemini_finance_agent.py | # -*- coding: utf-8 -*-
"""gemini_finance_agent.ipynb
Automatically generated by Colab.
Original file is located at
https://colab.research.google.com/drive/1XYnlyi_LFuvtR0qSHDLOWMRGMmgi60RQ
"""
# ! pip install -U agno
from agno.agent import Agent
from agno.models.google import Gemini
from agno.tools.reasoning 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/10_reasoning/tools/capture_reasoning_content_knowledge_tools.py | cookbook/10_reasoning/tools/capture_reasoning_content_knowledge_tools.py | """
Cookbook: Capturing reasoning_content with KnowledgeTools
This example demonstrates how to access and print the reasoning_content
when using KnowledgeTools with URL knowledge, in both streaming and non-streaming modes.
"""
import asyncio
from textwrap import dedent
from agno.agent import Agent
from agno.knowledg... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/groq_llama_finance_agent.py | cookbook/10_reasoning/tools/groq_llama_finance_agent.py | from textwrap import dedent
from agno.agent import Agent
from agno.models.groq import Groq
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools
thinking_llama = Agent(
model=Groq(id="meta-llama/llama-4-scout-17b-16e-instruct"),
tools=[
ReasoningTools(),
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/cerebras_llama_reasoning_tools.py | cookbook/10_reasoning/tools/cerebras_llama_reasoning_tools.py | """🧠 Problem-Solving Reasoning Agent
This example shows how to create an agent that uses the ReasoningTools to solve
complex problems through step-by-step reasoning. The agent breaks down questions,
analyzes intermediate results, and builds structured reasoning paths to arrive at
well-justified conclusions.
Example ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/ollama_reasoning_tools.py | cookbook/10_reasoning/tools/ollama_reasoning_tools.py | from agno.agent import Agent
from agno.models.ollama.chat import Ollama
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools
reasoning_agent = Agent(
model=Ollama(id="llama3.2:latest"),
tools=[
ReasoningTools(
enable_think=True,
enabl... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/azure_openai_reasoning_tools.py | cookbook/10_reasoning/tools/azure_openai_reasoning_tools.py | from agno.agent import Agent
from agno.models.azure.openai_chat import AzureOpenAI
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools
reasoning_agent = Agent(
model=AzureOpenAI(id="gpt-4o-mini"),
tools=[
DuckDuckGoTools(),
ReasoningTools(
... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/__init__.py | cookbook/10_reasoning/tools/__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/10_reasoning/tools/openai_reasoning_tools.py | cookbook/10_reasoning/tools/openai_reasoning_tools.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[
ReasoningTools(
enable_think=True,
enable_anal... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/knowledge_tools.py | cookbook/10_reasoning/tools/knowledge_tools.py | """
1. Run: `pip install openai agno lancedb tantivy sqlalchemy` to install the dependencies
2. Export your OPENAI_API_KEY
3. Run: `python cookbook/reasoning/tools/knowledge_tools.py` to run the agent
"""
from agno.agent import Agent
from agno.knowledge.embedder.openai import OpenAIEmbedder
from agno.knowledge.knowled... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/tools/vercel_reasoning_tools.py | cookbook/10_reasoning/tools/vercel_reasoning_tools.py | from agno.agent import Agent
from agno.models.vercel import v0
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools
reasoning_agent = Agent(
model=v0(id="v0-1.0-md"),
tools=[
ReasoningTools(add_instructions=True, add_few_shot=True),
DuckDuckGoTools()... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/teams/finance_team_chain_of_thought.py | cookbook/10_reasoning/teams/finance_team_chain_of_thought.py | import asyncio
from textwrap import dedent
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.team.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
web_agent = Agent(
name="Web Search Agent",
role="Handle web search requests",
model=OpenAIChat(id="gpt-4o-min... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/teams/knowledge_tool_team.py | cookbook/10_reasoning/teams/knowledge_tool_team.py | from agno.agent import Agent
from agno.knowledge.knowledge import Knowledge
from agno.models.openai import OpenAIChat
from agno.team.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.knowledge import KnowledgeTools
from agno.vectordb.lancedb import LanceDb, SearchType
agno_docs = Knowl... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/teams/reasoning_finance_team.py | cookbook/10_reasoning/teams/reasoning_finance_team.py | from textwrap import dedent
from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.models.openai import OpenAIChat
from agno.team.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools
web_agent = Agent(
name="Web Search 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/10_reasoning/teams/__init__.py | cookbook/10_reasoning/teams/__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/10_reasoning/agents/capture_reasoning_content_default_COT.py | cookbook/10_reasoning/agents/capture_reasoning_content_default_COT.py | """
Cookbook: Working with reasoning_content in Agents
This example demonstrates how to access and print the reasoning_content
when using either reasoning=True or setting a specific reasoning_model.
"""
from agno.agent import Agent
from agno.models.openai import OpenAIChat
print("\n=== Example 1: Using reasoning=Tru... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/agents/finance_agent.py | cookbook/10_reasoning/agents/finance_agent.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
tools=[YFinanceTools()],
instructions="Use tables to display data",
use_json_mode=True,
reasoning=True,
markdown=True,
)
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/10_reasoning/agents/fibonacci.py | cookbook/10_reasoning/agents/fibonacci.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
task = "Give me steps to write a python script for fibonacci series"
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=True,
markdown=True,
)
reasoning_agent.print_response(task, stream=True, show_full_reasoning=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/10_reasoning/agents/analyse_treaty_of_versailles.py | cookbook/10_reasoning/agents/analyse_treaty_of_versailles.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
task = (
"Analyze the key factors that led to the signing of the Treaty of Versailles in 1919. "
"Discuss the political, economic, and social impacts of the treaty on Germany and how it "
"contributed to the onset of World War II. Provi... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/agents/ibm_watsonx_default_COT.py | cookbook/10_reasoning/agents/ibm_watsonx_default_COT.py | from agno.agent import Agent, RunOutput # noqa
from agno.models.ibm import WatsonX
"""
This example demonstrates how it works when you pass a non-reasoning model as a reasoning model.
It defaults to using the default OpenAI reasoning model.
We recommend using the appropriate reasoning model or passing reasoning=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/10_reasoning/agents/mistral_reasoning_cot.py | cookbook/10_reasoning/agents/mistral_reasoning_cot.py | from agno.agent import Agent
from agno.models.mistral import MistralChat
# It uses the default model of the Agent
reasoning_agent = Agent(
model=MistralChat(id="mistral-large-latest"),
reasoning=True,
markdown=True,
use_json_mode=True,
)
reasoning_agent.print_response(
"Give me steps to write a pyt... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/agents/ship_of_theseus.py | cookbook/10_reasoning/agents/ship_of_theseus.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
task = (
"Discuss the concept of 'The Ship of Theseus' and its implications on the notions of identity and change. "
"Present arguments for and against the idea that an object that has had all of its components replaced remains "
"funda... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/agents/python_101_curriculum.py | cookbook/10_reasoning/agents/python_101_curriculum.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
task = "Craft a curriculum for Python 101"
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=True,
markdown=True,
)
reasoning_agent.print_response(task, stream=True, show_full_reasoning=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/10_reasoning/agents/strawberry.py | cookbook/10_reasoning/agents/strawberry.py | import asyncio
from agno.agent import Agent
from agno.cli.console import console
from agno.models.openai import OpenAIChat
task = "How many 'r' are in the word 'strawberry'?"
regular_agent = Agent(model=OpenAIChat(id="gpt-4o"), markdown=True)
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/agents/trolley_problem.py | cookbook/10_reasoning/agents/trolley_problem.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=True,
markdown=True,
)
agent.print_response(
"Solve the trolley problem. Evaluate multiple ethical frameworks. "
"Include an ASCII diagram of your solution.",
stream=Tr... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/agents/logical_puzzle.py | cookbook/10_reasoning/agents/logical_puzzle.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
task = (
"Three missionaries and three cannibals need to cross a river. "
"They have a boat that can carry up to two people at a time. "
"If, at any time, the cannibals outnumber the missionaries on either side of the river, the canniba... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/agents/scientific_research.py | cookbook/10_reasoning/agents/scientific_research.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
task = (
"Read the following abstract of a scientific paper and provide a critical evaluation of its methodology,"
"results, conclusions, and any potential biases or flaws:\n\n"
"Abstract: This study examines the effect of a new teachin... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/agents/life_in_500000_years.py | cookbook/10_reasoning/agents/life_in_500000_years.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
task = "Write a short story about life in 500000 years"
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=True,
markdown=True,
)
reasoning_agent.print_response(task, stream=True, show_full_reasoning=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/10_reasoning/agents/__init__.py | cookbook/10_reasoning/agents/__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/10_reasoning/agents/is_9_11_bigger_than_9_9.py | cookbook/10_reasoning/agents/is_9_11_bigger_than_9_9.py | from agno.agent import Agent
from agno.cli.console import console
from agno.models.openai import OpenAIChat
task = "9.11 and 9.9 -- which is bigger?"
regular_agent = Agent(model=OpenAIChat(id="gpt-4o"), markdown=True)
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=True,
markdown=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/10_reasoning/agents/default_chain_of_thought.py | cookbook/10_reasoning/agents/default_chain_of_thought.py | """
This example demonstrates how it works when you pass a non-reasoning model as a reasoning model.
It defaults to using the default OpenAI reasoning model.
We recommend using the appropriate reasoning model or passing reasoning=True for the default COT.
"""
from agno.agent import Agent
from agno.models.openai 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/10_reasoning/agents/mathematical_proof.py | cookbook/10_reasoning/agents/mathematical_proof.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
task = "Prove that for any positive integer n, the sum of the first n odd numbers is equal to n squared. Provide a detailed proof."
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=True,
markdown=True,
)
reasoning_agen... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/agents/plan_itenerary.py | cookbook/10_reasoning/agents/plan_itenerary.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
task = "Plan an itinerary from Los Angeles to Las Vegas"
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=True,
markdown=True,
)
reasoning_agent.print_response(task, stream=True, show_full_reasoning=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/10_reasoning/agents/cerebras_llama_default_COT.py | cookbook/10_reasoning/agents/cerebras_llama_default_COT.py | from agno.agent import Agent, RunOutput # noqa
from agno.models.cerebras import Cerebras
"""
This example demonstrates how it works when you pass a non-reasoning model as a reasoning model.
It defaults to using the default OpenAI reasoning model.
We recommend using the appropriate reasoning model or passing reasoning... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/models/__init__.py | cookbook/10_reasoning/models/__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/10_reasoning/models/openai/o1_pro.py | cookbook/10_reasoning/models/openai/o1_pro.py | from agno.agent import Agent
from agno.models.openai import OpenAIResponses
agent = Agent(model=OpenAIResponses(id="o1-pro"))
agent.print_response(
"Solve the trolley problem. Evaluate multiple ethical frameworks. "
"Include an ASCII diagram of your solution.",
stream=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/10_reasoning/models/openai/reasoning_effort.py | cookbook/10_reasoning/models/openai/reasoning_effort.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=OpenAIChat(id="o3-mini", reasoning_effort="high"),
tools=[DuckDuckGoTools(enable_search=True)],
instructions="Use tables to display data.",
markdown=True,
)
age... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/models/openai/o3_mini.py | cookbook/10_reasoning/models/openai/o3_mini.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
agent = Agent(
model=OpenAIChat(id="o3-mini"),
)
agent.print_response(
"Solve the trolley problem. Evaluate multiple ethical frameworks. "
"Include an ASCII diagram of your solution.",
stream=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/10_reasoning/models/openai/o3_mini_with_tools.py | cookbook/10_reasoning/models/openai/o3_mini_with_tools.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
agent = Agent(
model=OpenAIChat(id="o3-mini"),
tools=[DuckDuckGoTools(enable_search=True)],
instructions="Use tables to display data.",
markdown=True,
)
agent.print_response("Write ... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/models/openai/reasoning_model_gpt_4_1.py | cookbook/10_reasoning/models/openai/reasoning_model_gpt_4_1.py | from agno.agent import Agent
from agno.models.openai.responses import OpenAIResponses
agent = Agent(
model=OpenAIResponses(id="gpt-4o-mini"),
reasoning_model=OpenAIResponses(id="gpt-4.1"),
)
agent.print_response(
"Solve the trolley problem. Evaluate multiple ethical frameworks. "
"Include an ASCII diag... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/models/openai/o4_mini.py | cookbook/10_reasoning/models/openai/o4_mini.py | from agno.agent import Agent
from agno.models.openai.responses import OpenAIResponses
agent = Agent(model=OpenAIResponses(id="o4-mini"))
agent.print_response(
"Solve the trolley problem. Evaluate multiple ethical frameworks. "
"Include an ASCII diagram of your solution.",
stream=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/10_reasoning/models/openai/__init__.py | cookbook/10_reasoning/models/openai/__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/10_reasoning/models/openai/reasoning_summary.py | cookbook/10_reasoning/models/openai/reasoning_summary.py | """This example shows how to get reasoning summaries with our OpenAIResponses model.
Useful for contexts where a long reasoning process is relevant and directly relevant to the user."""
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.duckduckgo import DuckDuckGoTools
# Setu... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/models/openai/reasoning_stream.py | cookbook/10_reasoning/models/openai/reasoning_stream.py | from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.run.agent import RunEvent # noqa
# Create an agent with reasoning enabled
agent = Agent(
reasoning_model=OpenAIResponses(
id="o3-mini",
reasoning_effort="low",
),
reasoning=True,
instructions="Think s... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
agno-agi/agno | https://github.com/agno-agi/agno/blob/26b9daa0fb760c3ad8384e1ba9218b1bce854535/cookbook/10_reasoning/models/vertex_ai/basic_reasoning_stream.py | cookbook/10_reasoning/models/vertex_ai/basic_reasoning_stream.py | import asyncio
from agno.agent import Agent
from agno.models.google import Gemini
from agno.run.agent import RunEvent # noqa
async def streaming_reasoning():
"""Test streaming reasoning with a VertexAI with Gemini model."""
# Create an agent with reasoning enabled
agent = Agent(
reasoning_model=... | python | Apache-2.0 | 26b9daa0fb760c3ad8384e1ba9218b1bce854535 | 2026-01-04T14:41:49.609528Z | false |
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