ax-rust-ai

Generate Rust AxAI provider client code for axllm workflows.

2.9k|186|Updated Feb 23, 2023

Search Tags:#rust #model selection #openai-compatible #routers #axllm #provider clients #balancers

Ready to run

npx skills add https://github.com/ax-llm/ax --skill ax-rust-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ax-rust-ai
Source: https://github.com/ax-llm/ax/tree/main/website/static/rust/.well-known/agent-skills/ax-rust-ai
Command: npx skills add https://github.com/ax-llm/ax --skill ax-rust-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you write Rust code against the generated Ax package axllm for provider clients, model selection, and multi-provider LLM integrations without drifting into TypeScript-only APIs.

Core Features & Use Cases

Provider Client Setup: Create OpenAI-compatible, Responses, Gemini, and Anthropic clients in Rust.
Routing and Balancing: Configure routers and balancers for multi-service model selection and request distribution.
Deterministic Examples: Use no-key scripted transports for safe local validation, or provider-api examples when real credentials are available.

Quick Start

Use this skill to draft the Rust axllm code needed to create an AI client for the provider and behavior I specify.

Frequently Asked Questions about ax-rust-ai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I write Rust code for OpenAI-compatible provider clients?▼

To write Rust code for OpenAI-compatible provider clients, you generate implementations using the axllm package API, supplying package examples and manifest-backed patterns to ensure accurate setup. This prevents drifting into TypeScript-only APIs.

What's the best way to configure multi-provider LLM routers and balancers in Rust?▼

Configuring multi-provider LLM routers and balancers in Rust involves using the axllm package to define request distribution and model selection logic. You supply provider API examples to generate accurate multi-service routing code.

Can I set up Anthropic and Gemini clients in Rust without real API keys?▼

Yes, you can set up Anthropic and Gemini clients without real API keys by using no-key scripted transports for safe local validation. This allows deterministic testing of provider setup before applying real credentials.

Does the axllm Rust integration support OpenAI Responses endpoints?▼

Yes, the axllm Rust integration explicitly supports OpenAI Responses endpoints alongside standard OpenAI-compatible, Gemini, and Anthropic client configurations. You provide the generated Rust package API and examples to produce accurate endpoint setup.

Why does my Rust LLM integration code keep drifting into TypeScript APIs?▼

Rust LLM integration code drifts into TypeScript APIs when lacking accurate package examples and manifest-backed patterns. Using this Skill enforces the correct axllm Rust package API, ensuring generated provider clients and routers match valid Rust implementations.