alita-sdk
SDK for building langchain agents using resources from Alita
Decision gist · record as of 2026-08-14
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—install 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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10+; requires active Alita Platform deployment with valid credentials (DEPLOYMENT_URL, API_KEY, PROJECT_ID) set via .env file or environment variables.
- Low install friction with a pure-Python wheel distribution.
- However, the repository is archived and marked abandoned as of the latest release date, raising concerns about ongoing maintenance and support for future dependency updates or bug fixes.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most projects that can tolerate an unmaintained upstream.
last release 2026-03-31 (136 days) · last repo commit 2026-04-06 · 5 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 105,462 downloads/mo, #12,698 on PyPI
Alternatives
Verify before relying
# Install
pip install alita-sdk
# Set environment variables
export DEPLOYMENT_URL=<your_url>
export API_KEY=<your_key>
export PROJECT_ID=<your_project>
# Use CLI for interactive chat
alita-cli agent chat my-agent-name- Whether the abandoned repository status affects real-world usability or if the SDK remains functional against current Alita Platform versions.
- Compatibility of the 14 runtime dependencies (including openai, tiktoken, fastapi) with modern versions of those libraries.
- Whether Streamlit integration mentioned in docs is fully functional or if pytorch-related errors are common in practice.
What it is and 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.
The 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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—install 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.
Install
alita-sdk on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. However, the repository is archived and marked abandoned as of the latest release date, raising concerns about ongoing maintenance and support for future dependency updates or bug fixes.
Requires Python 3.10+; requires active Alita Platform deployment with valid credentials (DEPLOYMENT_URL, API_KEY, PROJECT_ID) set via .env file or environment variables.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most projects that can tolerate an unmaintained upstream.
Quickstart
# Install
pip install alita-sdk
# Set environment variables
export DEPLOYMENT_URL=<your_url>
export API_KEY=<your_key>
export PROJECT_ID=<your_project>
# Use CLI for interactive chat
alita-cli agent chat my-agent-nameVerify before relying
- Whether the abandoned repository status affects real-world usability or if the SDK remains functional against current Alita Platform versions.
- Compatibility of the 14 runtime dependencies (including openai, tiktoken, fastapi) with modern versions of those libraries.
- Whether Streamlit integration mentioned in docs is fully functional or if pytorch-related errors are common in practice.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 14 packagessqlalchemytiktokenopenaipython-dotenvjinja2pillowrequestspydanticchardetfastapihttpcoreurllib3certifiaiohttp |
| Maintenance | Abandoned 136 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 105,462 / month, #12,698 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Operating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: alita_sdk-0.5.18-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “intelligent agent platform”
- alita-sdkAlita SDK provides a Python framework for building LLM-powered agents…
- pyghmiPyghmi provides Python bindings for IPMI (Intelligent Platform…
- python-ipmiPure Python library for communicating with IPMI-enabled devices over…
Give your agent the search over MCP, or paste the wish link into any chat.
More Artificial Intelligence packages
LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.
Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.
Client library and CLI tool for downloading, uploading, and managing models, datasets, and repositories on the Hugging Face Hub platform.
Install it if you work with Hugging Face Hub models or datasets.
LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.
hf-xet provides chunk-based deduplication and efficient file transfer for the Hugging Face Hub, enabling faster uploads and downloads of large files with local disk caching.
Tokenizers converts raw text into token sequences for NLP models, with support for training custom vocabularies and using pre-built tokenizers (BPE, WordPiece) optimized for speed via Rust.
Transformers provides a unified framework for loading, fine-tuning, and running state-of-the-art pretrained models across text, vision, audio, video, and multimodal tasks using PyTorch, JAX, or TensorFlow.
Install it if you need to run or train any transformer-based model for NLP, vision, audio, or multimodal tasks.
See also langchain-cli · openai-chatkit · agent-framework-core · composio · chainlit · deepagents · openai-agents · rasa-sdk · openhands-sdk