open-responses-agent-dev
Build autonomous agents using Open Responses API via HuggingFace Inference Providers. Single unified endpoint with multi-provider routing via model suffixes. Use the OpenAI SDK with custom base_url for seamless development.
npx skills add majiayu000/claude-skill-registry --skill open-responses-agent-dev-othmanadi-open-responses-agent-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Open Responses Agent Development Build autonomous agents with the **Open Responses API** - the open-source standard for multi-provider, agentic LLM interfaces via HuggingFace Inference Providers. ## When to Use This Skill Activate this skill when: - Building autonomous agents (not chatbots) - Need multi-step workflows in a single request - Want multi-provider routing with a single endpoint - Need reasoning visibility (see agent thinking) - Building sub-agent loops with tools - Want to use the OpenAI SDK with open-source models ## Key Concept: Single Unified Endpoint **IMPORTANT:** Open Responses uses ONE unified endpoint with provider routing via model suffixes. ``` Endpoint: https://router.huggingface.co/v1 Model format: model-id:provider (e.g., moonshotai/Kimi-K2-Instruct-0905:groq) ``` Providers are specified as **suffixes** on the model name: - `:groq` - Groq inference - `:together` - Together AI - `:nebius` - Nebius AI - `:auto` - Automatic provider selection - (no suffix) - Default provider --- ## Core Concepts ### 1. The Responses Endpoint ``` POST https://router.huggingface.co/v1/responses Authorization: Bearer $HF_TOKEN Content-Type: application/json ``` **Request Struct
- When to Use This Skill
- Key Concept: Single Unified Endpoint
- Core Concepts
- 1. The Responses Endpoint
- 2. Sub-Agent Loops
- 3. Reasoning Visibility
- 4. Semantic Streaming
- Language Selection
- TypeScript Implementation
- Setup
- Basic Agent (Using OpenAI SDK)
- Sub-Agent Loop with Tools
- Streaming (TypeScript)
- Structured Outputs
npm init -y npm install openai pip install openai
What does the open-responses-agent-dev skill do?
Build autonomous agents using Open Responses API via HuggingFace Inference Providers. Single unified endpoint with multi-provider routing via model suffixes. Use the OpenAI SDK with custom base_url for seamless development.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill open-responses-agent-dev-othmanadi-open-responses-agent-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.