What does cnllm do?
中文大模型通用SDK，系统性优化接口适配、增强响应解析和批量处理等能力，深度适配 OpenAI 生态内 LangChain、LlamaIndex、AutoGen 等大模型应用框架。支持作为Agent Skill部署到各种AI编程工具。
A universal SDK for Chinese LLMs, systematically optimizing interface adaptation, response parsing, and batch processing, deeply integrating with OpenAI ecosystem frameworks like LangChain, LlamaIndex, and AutoGen. Supports deployment as an Agent Skill in various AI programming tools.
kanchengw/cnllm is a universal SDK designed specifically for Chinese large language models (LLMs), providing systematic optimizations for API interface adaptation, enhanced response parsing, and efficient batch processing. It deeply integrates with popular frameworks within the OpenAI ecosystem, including LangChain, LlamaIndex, and AutoGen, making it easy to plug into existing AI agent pipelines. The SDK can be deployed as an Agent Skill in various AI programming tools such as Cursor, Claude Code, and Codex, enabling developers to seamlessly incorporate Chinese LLM capabilities into their coding workflows. By abstracting away the complexities of different Chinese LLM providers, cnllm streamlines development tasks such as prompt management, inference calls, and result handling, allowing developers to focus on building robust AI applications without worrying about underlying API differences.
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中文大模型通用SDK，系统性优化接口适配、增强响应解析和批量处理等能力，深度适配 OpenAI 生态内 LangChain、LlamaIndex、AutoGen 等大模型应用框架。支持作为Agent Skill部署到各种AI编程工具。
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