Large Language Model (LLM)
Definition
A large language model (LLM) is a neural network trained on massive text corpora that can understand instructions, reason about data, and generate human-quality text. LLMs power the AI capabilities in platforms like JieGou — when a recipe runs, it sends a structured prompt to an LLM (such as Claude, GPT, or Gemini) and receives a text response that is parsed into structured output fields.
Multi-Model Support
JieGou supports 9+ LLM providers: Anthropic (Claude), OpenAI (GPT), Google (Gemini), Mistral, and self-hosted models via Ollama or vLLM. Each recipe can use a different model, and AI Bakeoffs let you compare model performance on the same task to find the best fit.
BYOK (Bring Your Own Key)
With BYOK, organizations use their own API keys for LLM providers, giving them direct billing control, enterprise rate limits, and data processing agreements with the model provider. JieGou encrypts all API keys with AES-256-GCM.
Related Terms
AI Recipes
Learn what AI recipes are and how they work in JieGou. Recipes are reusable, single-operation AI building blocks with structured inputs and outputs.
BYOK (Bring Your Own Key)
Learn what BYOK means for AI automation. Bring Your Own Key lets you connect your own LLM API keys to JieGou for full cost control and data privacy.
Prompt Template
A prompt template is a reusable, parameterized set of instructions for an LLM that accepts variable inputs and produces structured outputs.