Examples
- Examples
- Getting Started
- Agents
- Teams
- Workflows
- Applications
- FastAPI
- WhatsApp
- Slack
- Playground
- AG-UI
- Streamlit Apps
- Evals
Agent Concepts
- Reasoning
- Multimodal
- RAG
- User Control Flows
- Knowledge
- Memory
- Async
- Hybrid Search
- Storage
- Tools
- Vector Databases
- Context
- Embedders
- Agent State
- Observability
- Miscellaneous
Models
- Anthropic
- AWS Bedrock
- AWS Bedrock Claude
- Azure AI Foundry
- Azure OpenAI
- Cerebras
- Cerebras OpenAI
- Cohere
- DeepInfra
- DeepSeek
- Fireworks
- Gemini
- Groq
- Hugging Face
- IBM
- LM Studio
- LiteLLM
- LiteLLM OpenAI
- Meta
- Mistral
- NVIDIA
- Ollama
- OpenAI
- Perplexity
- Together
- XAI
- Vercel
Slack
Reasoning Agent
Code
cookbook/apps/slack/reasoning_agent.py
from agno.agent import Agent
from agno.app.slack.app import SlackAPI
from agno.models.anthropic.claude import Claude
from agno.tools.thinking import ThinkingTools
from agno.tools.yfinance import YFinanceTools
reasoning_finance_agent = Agent(
name="Reasoning Finance Agent",
model=Claude(id="claude-3-7-sonnet-latest"),
tools=[
ThinkingTools(add_instructions=True),
YFinanceTools(
stock_price=True,
analyst_recommendations=True,
company_info=True,
company_news=True,
),
],
instructions="Use tables to display data. When you use thinking tools, keep the thinking brief.",
add_datetime_to_instructions=True,
markdown=True,
)
slack_api_app = SlackAPI(
agent=reasoning_finance_agent,
name="Reasoning Finance Agent",
app_id="reasoning_finance_agent",
description="A agent that can reason about finance and stock prices.",
)
app = slack_api_app.get_app()
if __name__ == "__main__":
slack_api_app.serve("reasoning_agent:app", port=8000, reload=True)
Usage
1
Create a virtual environment
Open the Terminal
and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2
Set your API key
export OPENAI_API_KEY=xxx
3
Install libraries
pip install -U agno openai "uvicorn[standard]"
4
Run Agent
python cookbook/apps/slack/reasoning_agent.py
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