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Project description

agentize

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Agentize provides out-of-the-box tools for building chatbot agent with LLMs.

Usage

Installation

pip install agentize

# If you want to use langfuse
pip install agentize[langfuse]

Tools

MarkItDown

  • markitdown_scrape tool to scrape a URL and get its content.

Firecrawl

  • firecrawl_scrape tool to scrape a URL and get its content.
  • search tool to perform web searches and optionally retrieve content from the results.
  • map tool to go from a single url to a map of the entire website.

Telegragh

  • publish_page_md tool to publish a markdown document to telegraph and get its URL.

Wise

  • query_rate_history tool to query the rate history of a currency.

Agents

  • Summary agent to summarize a document.

Examples

Chatbot agent. Summarize chatbot. The -w flag tells Chainlit to enable auto-reloading, so you don’t need to restart the server every time you make changes to your application.

uv run chainlit run examples/chatbot_agent.py -w

Chatbot with MCP client.

uv run chainlit run examples/mcp_chatbot.py -w

Summarize chatbot.

uv run chainlit run examples/summarize_chatbot.py -w

Development

type check and format the code

make format fix type

pre-commit git hook installation

pre-commit install
# or manually run
pre-commit run --all-files

Environment variables

# OpenAI compatible proxy
# export OPENAI_PROXY_BASE_URL="..."
# export OPENAI_PROXY_API_KEY="..."

# OpenAI
# export OPENAI_MODEL="gpt-4o-mini"
# export OPENAI_API_KEY="sk-..."

# Firecrawl (optional)
export FIRECRAWL_API_KEY="fc-..."

# Langfuse
export LANGFUSE_PUBLIC_KEY="pk-..."
export LANGFUSE_SECRET_KEY="sk-..."
export LANGFUSE_HOST="..."

# Azure OpenAI
export AZURE_OPENAI_API_KEY="..."
export AZURE_OPENAI_ENDPOINT="..."
export OPENAI_MODEL="gpt-4.1"
# see https://learn.microsoft.com/azure/ai-services/openai/api-version-deprecation for more details
export AZURE_OPENAI_API_VERSION="2025-03-01-preview"

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