{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"Alita SDK provides a Python framework for building LLM-powered agents that integrate with the Alita Platform using project-specific prompts, data sources, and toolkits via a CLI and programmatic API.","skillfed_tags":["agent-framework","langchain-based","llm-orchestration"],"use_cases":["Build interactive CLI-based chat agents that leverage project-specific prompts and data sources within the Alita Platform.","Integrate LLM-powered agents into Streamlit web applications for local development and testing of agent behavior.","Dynamically switch between multiple LLM models (e.g., gpt-4o, claude-3-sonnet) during a single chat session while preserving conversation history.","Add and manage toolkits and MCP servers at runtime to extend agent capabilities without restarting the application.","Deploy agents that combine multiple data sources, custom prompts, and external tools for complex multi-step workflows."],"what_it_does":"Alita SDK is a Python framework built on Langchain that lets you create intelligent agents within the Alita Platform using project-specific prompts and data sources. It provides both a command-line interface (CLI) for interactive chat sessions and a programmatic API for building agent-driven applications. The SDK handles agent lifecycle management, model switching, toolkit integration, and MCP server configuration.\n\nThe package depends on 14 runtime libraries including sqlalchemy, openai, fastapi, pydantic, and aiohttp to support agent orchestration, LLM calls, and web serving. It requires Python 3.10+ and an active Alita Platform deployment with valid credentials. The repository is archived and marked abandoned, meaning no new features or maintenance updates are planned.","worth_installing":"Yes-with-conditions. The SDK is suitable if you are already committed to the Alita Platform and need a Python interface to build and test agents locally. However, the abandoned repository status means no future bug fixes, security patches, or dependency updates are forthcoming\u2014install only if your use case is stable and you can manage dependency conflicts independently. The low install friction and permissive Apache-2.0 license reduce friction, but maintenance risk is the primary concern."},"id":"alita-sdk","links":{"html":"https://skillfed.io/packages/alita-sdk","md":"https://skillfed.io/packages/alita-sdk.md","pypi":"https://pypi.org/project/alita-sdk/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2026-03-31","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"alita-sdk","python_support":"supports_current","summary":"SDK for building langchain agents using resources from Alita"},"popularity":{"monthly_downloads":105462,"position":12698,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.18"}