use-ai 0.0.1

Composable AI interaction primitive facade for RustUse.
Documentation

use-ai

AI interaction primitive facade for RustUse.

Experimental

use-ai is experimental while the release line remains below 0.3.0.

Example

use use_ai::{AiMessageRole, AiModelName, PromptName, ToolName};

let prompt = PromptName::new("support-triage")?;
let model = AiModelName::new("reasoning-chat")?;
let tool = ToolName::new("ticket-search")?;

assert_eq!(prompt.as_str(), "support-triage");
assert_eq!(model.value(), "reasoning-chat");
assert_eq!(tool.as_str(), "ticket-search");
assert_eq!(AiMessageRole::Assistant.as_str(), "assistant");
# Ok::<(), Box<dyn std::error::Error>>(())

Scope

  • Facade re-exports for focused AI interaction metadata crates.
  • Prompt, message, context, role, model, provider, capability, tool-call, agent, reasoning, planning, RAG, memory, guardrail, and AI eval primitives.

Relationship to use-ml

use-ai models AI interaction primitives: prompts, messages, roles, context windows, tool calls, agents, RAG, reasoning, memory, guardrails, AI model interfaces, and AI-specific evaluation.

use-ml models machine-learning primitives: datasets, features, labels, tensors, model artifacts, training, inference, evaluation, metrics, pipelines, embeddings, experiments, and model documentation.

These sets are siblings. They should interoperate conceptually but avoid dependency cycles.

Non-goals

  • Model calls, network calls, tool execution, retrieval, memory storage, guardrail enforcement, eval execution, or orchestration.

License

Licensed under either Apache-2.0 or MIT.