{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"}],"enrichment":{"capability":"Chatlas provides a unified Python interface for building LLM chat applications across multiple model providers with tool registration and message management.","skillfed_tags":["llm-abstraction","multi-provider","tool-calling"],"use_cases":["Build a chatbot that can switch between OpenAI and Anthropic models without rewriting client code.","Register Python functions as tools so the LLM can call them autonomously during conversation.","Prototype LLM applications quickly without learning each provider's specific API and authentication patterns.","Manage multi-turn conversations with consistent message history and system prompt handling across providers.","Deploy chat applications that abstract provider details, making it easier to migrate or A/B test models."],"what_it_does":"Chatlas is a Python library that abstracts away the differences between LLM providers (OpenAI, Anthropic, and others) by offering a single, consistent Chat client interface. Instead of learning each provider's API separately, you instantiate a Chat client for your chosen model, set a system prompt, register tools, and call a single chat() method. The library handles credential management, message formatting, and tool calling under the hood.\n\nIt's built on top of widely-used dependencies like httpx, pydantic, and openai, and targets developers building multi-turn conversational applications who want to avoid vendor lock-in or easily swap providers. The package is in active development (released 2026-08-12, last commit 2026-08-14) and supports Python 3.10 through 3.14.","worth_installing":"Yes. Chatlas is actively maintained, has low install friction, carries no known vulnerabilities, and solves a real problem\u2014provider abstraction for LLM chat apps. MIT licensing is permissive. The 11 dependencies are all stable, widely-used packages. Install it if you're building multi-provider LLM chat applications or want to avoid vendor lock-in."},"id":"chatlas","links":{"html":"https://skillfed.io/packages/chatlas","md":"https://skillfed.io/packages/chatlas.md","pypi":"https://pypi.org/project/chatlas/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":"MIT","license_treatment":"permissive","name":"chatlas","python_support":"supports_current","summary":"A simple and consistent interface for chatting with LLMs"},"popularity":{"monthly_downloads":131545,"position":11585,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.21.1"}