openui-forge-rust: Design & UI for AI Agents | OpenAgentSkill

Overview

OpenUI generative UI with Rust Axum backend. Async SSE streaming with reqwest and async-stream.

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OpenUI Forge — Rust

Build generative UI apps with a React frontend + Rust Axum backend. Async SSE streaming to OpenAI-compatible NDJSON.

Activation Triggers

"openui rust", "openui axum", "openui rust backend"
"generative ui rust", "rust streaming ui backend"

Prerequisites

Node.js >= 22 (24 LTS recommended) + React >= 18.3.1 (19+ recommended) (frontend)
Rust >= 1.75 with Cargo (backend)
OPENAI_API_KEY environment variable set

Quick Start

Create the React frontend and install OpenUI deps:

npm install @openuidev/react-ui @openuidev/react-headless @openuidev/react-lang lucide-react zod

Generate the system prompt:

npx @openuidev/cli generate ./src/lib/library.ts --out backend/system-prompt.txt

Create the Rust backend (see Full Code below)
Run: cargo run on :3001, frontend on :3000

Full Code

Backend: `backend/Cargo.toml`

[package]
name = "openui-backend"
version = "0.1.0"
edition = "2021"

[dependencies]
axum = "0.8"
http = "1"
tokio = { version = "1", features = ["full"] }
reqwest = { version = "0.13", features = ["json", "stream"] }
serde = { version = "1", features = ["derive"] }
serde_json = "1"
async-stream = "0.3"
futures = "0.3"
tower-http = { version = "0.6", features = ["cors"] }
dotenvy = "0.15"

Backend: `backend/src/main.rs`

use axum::{
    extract::{Json, State},
    response::sse::{Event, Sse},
    routing::post,
    Router,
};
use futures::stream::Stream;
use http::HeaderValue;
use reqwest::Client;
use serde::{Deserialize, Serialize};
use std::{convert::Infallible, fs, net::SocketAddr, sync::Arc};
use tower_http::cors::{Any, CorsLayer};

#[derive(Deserialize)]
struct ChatRequest {
    messages: Vec<Message>,
}

#[derive(Serialize, Deserialize, Clone)]
struct Message {
    role: String,
    content: String,
}

#[derive(Clone)]
struct AppState {
    system_prompt: String,
}

#[tokio::main]
async fn main() {
    dotenvy::dotenv().ok();
    let system_prompt = fs::read_to_string("system-prompt.txt")
        .expect("system-prompt.txt not found");
    let state = Arc::new(AppState { system_prompt });

    let cors = CorsLayer::new()
        .allow_origin("http://localhost:3000".parse::<HeaderValue>().unwrap())
        .allow_methods([http::Method::POST])
        .allow_headers(Any);

    let app = Router::new()
        .route("/api/chat", post(chat_handler))
        .layer(cors)
        .with_state(state);

    let addr = SocketAddr::from(([0, 0, 0, 0], 3001));
    println!("Rust backend listening on {addr}");
    let listener = tokio::net::TcpListener::bind(addr).await.unwrap();
    axum::serve(listener, app).await.unwrap();
}

async fn chat_handler(
    State(state): State<Arc<AppState>>,
    Json(req): Json<ChatRequest>,
) -> Sse<impl Stream<Item = Result<Event, Infallible>>> {
    let mut messages = vec![Message { role: "system".into(), content: state.system_prompt.clone() }];
    messages.extend(req.messages);

    let api_key = std::env::var("OPENAI_API_KEY").expect("OPENAI_API_KEY not set");
    let client = Client::new();

    let stream = async_stream::stream! {
        let resp = client
            .post("https://api.openai.com/v1/chat/completions")
            .bearer_auth(&api_key)
            .json(&serde_json::json!({
                "model": std::env::var("OPENAI_MODEL").unwrap_or_else(|_| "gpt-5.5".into()),
                "stream": true,
                "messages": messages,
            }))
            .send()
            .await;

        if let Ok(resp) = resp {
            let mut bytes_stream = resp.bytes_stream();
            use futures::StreamExt;
            let mut buffer = String::new();
            while let Some(Ok(chunk)) = bytes_stream.next().await {
                buffer.push_str(&String::from_utf8_lossy(&chunk));
                while let Some(pos) = buffer.find("\n\n") {
                    let line = buffer[..pos].to_string();
                    buffer = buffer[pos + 2..].to_string();
                    if line.starts_with("data: ") {
                        yield Ok(Event::default().data(&line[6..]));
                    }
                }
            }
        }
    };

    Sse::new(stream)
}

Frontend: `app/chat/page.tsx`

"use client";
import { FullScreen } from "@openuidev/react-ui";
import { openuiChatLibrary } from "@openuidev/react-ui/genui-lib";
import {
  openAIAdapter,
  openAIMessageFormat,
} from "@openuidev/react-headless";

export default function ChatPage() {
  return (
    <FullScreen
      componentLibrary={openuiChatLibrary}
      streamProtocol={openAIAdapter()}
      messageFormat={openAIMessageFormat}
      apiUrl="http://localhost:3001/api/chat"
    />
  );
}

The Rust backend re-emits SSE via Axum's Sse<...> response (Axum wraps each Event::default().data(...) with the data: prefix). Pair it with openAIAdapter() on the frontend. openAIReadableStreamAdapter() is for NDJSON and will silently produce no output here.

System Prompt Generation

npx @openuidev/cli generate ./src/lib/library.ts --out backend/system-prompt.txt

Validation Checklist

system-prompt.txt exists in the Rust backend directory
OPENAI_API_KEY is set in environment or .env
CORS layer allows the frontend origin
SSE events forward OpenAI stream chunks correctly
Buffer parsing handles partial SSE lines across chunk boundaries
Frontend apiUrl points to http://localhost:3001/api/chat
Frontend uses streamProtocol={openAIAdapter()} and openAIMessageFormat
componentLibrary={openuiChatLibrary} prop passed to FullScreen
CSS import in root layout (@openuidev/react-ui/components.css)

Error Patterns

Error	Cause	Fix
`system-prompt.txt not found`	File missing	Run CLI generate command
CORS blocked	Origin not in CorsLayer	Update `.allow_origin()`
Partial SSE events	Chunk boundary splitting	Buffer and split on `\n\n` boundaries (handled in code)
Compile error on `http::HeaderValue`	Missing `http` crate	Add `http = "1"` to `Cargo.toml` (already in the example) or import from `axum::http`
`static_mut_refs` warning on `static mut`	Rust 2024 deprecates raw `static mut` access	Use `OnceLock<String>` or carry state in `State<Arc<AppState>>` (this example uses the latter)
Connection reset	Tokio runtime panic	Check `.await` on all async calls, verify `features = ["full"]`

View source ↗

File metadata

name: openui-forge-rust
description: OpenUI generative UI with Rust Axum backend. Async SSE streaming with reqwest and async-stream.
version: 1.2.0
author: OthmanAdi

View original text

---
name: openui-forge-rust
description: OpenUI generative UI with Rust Axum backend. Async SSE streaming with reqwest and async-stream.
version: 1.2.0
author: OthmanAdi
---

# OpenUI Forge — Rust

Build generative UI apps with a React frontend + Rust Axum backend. Async SSE streaming to OpenAI-compatible NDJSON.

## Activation Triggers

- "openui rust", "openui axum", "openui rust backend"
- "generative ui rust", "rust streaming ui backend"

## Prerequisites

- Node.js >= 22 (24 LTS recommended) + React >= 18.3.1 (19+ recommended) (frontend)
- Rust >= 1.75 with Cargo (backend)
- `OPENAI_API_KEY` environment variable set

## Quick Start

1. Create the React frontend and install OpenUI deps:
```bash
npm install @openuidev/react-ui @openuidev/react-headless @openuidev/react-lang lucide-react zod
```
2. Generate the system prompt:
```bash
npx @openuidev/cli generate ./src/lib/library.ts --out backend/system-prompt.txt
```
3. Create the Rust backend (see Full Code below)
4. Run: `cargo run` on `:3001`, frontend on `:3000`

## Full Code

### Backend: `backend/Cargo.toml`

```toml
[package]
name = "openui-backend"
version = "0.1.0"
edition = "2021"

[dependencies]
axum = "0.8"
http = "1"
tokio = { version = "1", features = ["full"] }
reqwest = { version = "0.13", features = ["json", "stream"] }
serde = { version = "1", features = ["derive"] }
serde_json = "1"
async-stream = "0.3"
futures = "0.3"
tower-http = { version = "0.6", features = ["cors"] }
dotenvy = "0.15"
```

### Backend: `backend/src/main.rs`

```rust
use axum::{
    extract::{Json, State},
    response::sse::{Event, Sse},
    routing::post,
    Router,
};
use futures::stream::Stream;
use http::HeaderValue;
use reqwest::Client;
use serde::{Deserialize, Serialize};
use std::{convert::Infallible, fs, net::SocketAddr, sync::Arc};
use tower_http::cors::{Any, CorsLayer};

#[derive(Deserialize)]
struct ChatRequest {
    messages: Vec<Message>,
}

#[derive(Serialize, Deserialize, Clone)]
struct Message {
    role: String,
    content: String,
}

#[derive(Clone)]
struct AppState {
    system_prompt: String,
}

#[tokio::main]
async fn main() {
    dotenvy::dotenv().ok();
    let system_prompt = fs::read_to_string("system-prompt.txt")
        .expect("system-prompt.txt not found");
    let state = Arc::new(AppState { system_prompt });

    let cors = CorsLayer::new()
        .allow_origin("http://localhost:3000".parse::<HeaderValue>().unwrap())
        .allow_methods([http::Method::POST])
        .allow_headers(Any);

    let app = Router::new()
        .route("/api/chat", post(chat_handler))
        .layer(cors)
        .with_state(state);

    let addr = SocketAddr::from(([0, 0, 0, 0], 3001));
    println!("Rust backend listening on {addr}");
    let listener = tokio::net::TcpListener::bind(addr).await.unwrap();
    axum::serve(listener, app).await.unwrap();
}

async fn chat_handler(
    State(state): State<Arc<AppState>>,
    Json(req): Json<ChatRequest>,
) -> Sse<impl Stream<Item = Result<Event, Infallible>>> {
    let mut messages = vec![Message { role: "system".into(), content: state.system_prompt.clone() }];
    messages.extend(req.messages);

    let api_key = std::env::var("OPENAI_API_KEY").expect("OPENAI_API_KEY not set");
    let client = Client::new();

    let stream = async_stream::stream! {
        let resp = client
            .post("https://api.openai.com/v1/chat/completions")
            .bearer_auth(&api_key)
            .json(&serde_json::json!({
                "model": std::env::var("OPENAI_MODEL").unwrap_or_else(|_| "gpt-5.5".into()),
                "stream": true,
                "messages": messages,
            }))
            .send()
            .await;

        if let Ok(resp) = resp {
            let mut bytes_stream = resp.bytes_stream();
            use futures::StreamExt;
            let mut buffer = String::new();
            while let Some(Ok(chunk)) = bytes_stream.next().await {
                buffer.push_str(&String::from_utf8_lossy(&chunk));
                while let Some(pos) = buffer.find("\n\n") {
                    let line = buffer[..pos].to_string();
                    buffer = buffer[pos + 2..].to_string();
                    if line.starts_with("data: ") {
                        yield Ok(Event::default().data(&line[6..]));
                    }
                }
            }
        }
    };

    Sse::new(stream)
}
```

### Frontend: `app/chat/page.tsx`

```tsx
"use client";
import { FullScreen } from "@openuidev/react-ui";
import { openuiChatLibrary } from "@openuidev/react-ui/genui-lib";
import {
  openAIAdapter,
  openAIMessageFormat,
} from "@openuidev/react-headless";

export default function ChatPage() {
  return (
    <FullScreen
      componentLibrary={openuiChatLibrary}
      streamProtocol={openAIAdapter()}
      messageFormat={openAIMessageFormat}
      apiUrl="http://localhost:3001/api/chat"
    />
  );
}
```

> The Rust backend re-emits SSE via Axum's `Sse<...>` response (Axum wraps each `Event::default().data(...)` with the `data:` prefix). Pair it with `openAIAdapter()` on the frontend. `openAIReadableStreamAdapter()` is for NDJSON and will silently produce no output here.

## System Prompt Generation

```bash
npx @openuidev/cli generate ./src/lib/library.ts --out backend/system-prompt.txt
```

## Validation Checklist

- [ ] `system-prompt.txt` exists in the Rust backend directory
- [ ] `OPENAI_API_KEY` is set in environment or `.env`
- [ ] CORS layer allows the frontend origin
- [ ] SSE events forward OpenAI stream chunks correctly
- [ ] Buffer parsing handles partial SSE lines across chunk boundaries
- [ ] Frontend `apiUrl` points to `http://localhost:3001/api/chat`
- [ ] Frontend uses `streamProtocol={openAIAdapter()}` and `openAIMessageFormat`
- [ ] `componentLibrary={openuiChatLibrary}` prop passed to `FullScreen`
- [ ] CSS import in root layout (`@openuidev/react-ui/components.css`)

## Error Patterns

| Error | Cause | Fix |
|-------|-------|-----|
| `system-prompt.txt not found` | File missing | Run CLI generate command |
| CORS blocked | Origin not in CorsLayer | Update `.allow_origin()` |
| Partial SSE events | Chunk boundary splitting | Buffer and split on `\n\n` boundaries (handled in code) |
| Compile error on `http::HeaderValue` | Missing `http` crate | Add `http = "1"` to `Cargo.toml` (already in the example) or import from `axum::http` |
| `static_mut_refs` warning on `static mut` | Rust 2024 deprecates raw `static mut` access | Use `OnceLock<String>` or carry state in `State<Arc<AppState>>` (this example uses the latter) |
| Connection reset | Tokio runtime panic | Check `.await` on all async calls, verify `features = ["full"]` |

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 22 GitHub stars
Stars/forks activity: 22 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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Source & usage notes

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Source repository: OthmanAdi/openui-forge
License: MIT
Version: 1.2.0
Last GitHub push: Aug 3, 2026
Registry updated: Sep 13, 2026
Instruction path: .agents/skills/openui-forge-rust/SKILL.md @ 977180d4d3e9

Version reported in registry metadata; check source releases before relying on it.

Quality

49/100

Needs review

Trust

56/100

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    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 49,
    "label": "Needs review"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "AI review approval is missing"
  ],
  "agent_contract": {
    "task_input": "Use openui-forge-rust in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 64/100 Manual review",
      "Audit: 67/100 Needs review",
      "Safety: 27/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "othmanadi-openui-forge-rust (openui-forge-rust)",
      "install_command": "npx skills add OthmanAdi/openui-forge --skill openui-forge-rust",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "othmanadi-openui-forge-rust",
      "task": "Use openui-forge-rust in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/othmanadi-openui-forge-rust",
    "api": "https://www.openagentskill.com/api/agent/skills/othmanadi-openui-forge-rust",
    "audit": "https://www.openagentskill.com/skills/othmanadi-openui-forge-rust/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=othmanadi-openui-forge-rust&task=Use%20openui-forge-rust%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20openui-forge-rust%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20openui-forge-rust%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/othmanadi-openui-forge-rust/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/othmanadi-openui-forge-rust"
  }
}

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Creator: OthmanAdi
Source: OthmanAdi/openui-forge
Indexed by: OpenAgentSkill community index

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