What LLM providers does npcpy support?
npcpy supports local providers including Ollama, llama.cpp, ONNX, and LM Studio, as well as cloud models (e.g., through Ollama’s cloud API).
@NPC-Worldwide
Basic information
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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npcpy is a Python library that provides key primitives for research and development with multimodal language models, agentic AI, and knowledge graphs. It offers a flexible framework supporting local providers (Ollama, llama.cpp, ONNX, LM Studio) and cloud models, and includes a Context-Agent-Tool data layer to ensure compliance through software.
Install with pip install npcpy. Then import classes such as NPC, Agent, ToolAgent, CodingAgent, and NPCArray to create personas, run direct LLM calls, build multi-agent teams, or manage knowledge graphs.
NPC classget_llm_response()ToolAgentCodingAgent for auto‑executing code blocksNPCArrayToolAgentnpcpy supports local providers including Ollama, llama.cpp, ONNX, and LM Studio, as well as cloud models (e.g., through Ollama’s cloud API).
Install it using pip: `pip install npcpy`.
Yes. Use the `NPCArray` class to create teams of personas that can debate, refine answers, and reach consensus over multiple rounds.
The main classes are `NPC` (persona with primary directive), `Agent` (default tool‑equipped agent), `ToolAgent` (attach custom tools), `CodingAgent` (auto‑execute code), and `NPCArray` (multi‑agent orchestration).
Knowledge graphs are stored in‑memory as Python objects; the library does not mention persistent external storage.
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