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openui-forge-go

OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.

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Precio sin confirmar★ 22 Estrellas de GitHubRegistro actualizado · 13 sept 2026agent-skill

Resumen

OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.

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Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

OpenUI Forge — Go

Build generative UI apps with a React frontend + Go backend. Streams OpenAI API responses directly via net/http.

Activation Triggers

  • "openui go", "openui golang", "openui go backend"
  • "generative ui go", "go streaming ui backend"

Prerequisites

  • Node.js >= 22 (24 LTS recommended) + React >= 18.3.1 (19+ recommended) (frontend)
  • Go >= 1.24 (backend; 1.23 and older are out of security support as of Go 1.26)
  • OPENAI_API_KEY environment variable set

Quick Start

  1. Create the React frontend and install OpenUI deps:
npm install @openuidev/react-ui @openuidev/react-headless @openuidev/react-lang lucide-react zod
  1. Generate the system prompt:
npx @openuidev/cli generate ./src/lib/library.ts --out backend/system-prompt.txt
  1. Create the Go backend (see Full Code below)
  2. Run: go run main.go on :8080, frontend on :3000

Full Code

Backend: backend/go.mod
module openui-backend

go 1.24

require (
    github.com/joho/godotenv v1.5.1
)
Backend: backend/main.go
package main

import (
	"bufio"
	"bytes"
	"encoding/json"
	"fmt"
	"log"
	"net/http"
	"os"

	_ "github.com/joho/godotenv/autoload"
)

var systemPrompt string

func init() {
	data, err := os.ReadFile("system-prompt.txt")
	if err != nil {
		log.Fatal("system-prompt.txt not found: ", err)
	}
	systemPrompt = string(data)
}

func corsMiddleware(next http.Handler) http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		w.Header().Set("Access-Control-Allow-Origin", "http://localhost:3000")
		w.Header().Set("Vary", "Origin")
		w.Header().Set("Access-Control-Allow-Methods", "POST, OPTIONS")
		w.Header().Set("Access-Control-Allow-Headers", "Content-Type, Authorization")
		if r.Method == "OPTIONS" {
			w.WriteHeader(204)
			return
		}
		next.ServeHTTP(w, r)
	})
}

type Message struct {
	Role    string `json:"role"`
	Content string `json:"content"`
}

type ChatRequest struct {
	Messages []Message `json:"messages"`
}

func chatHandler(w http.ResponseWriter, r *http.Request) {
	if r.Method != "POST" {
		http.Error(w, "Method not allowed", 405)
		return
	}

	var req ChatRequest
	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
		http.Error(w, "Bad request", 400)
		return
	}

	messages := append([]Message{{Role: "system", Content: systemPrompt}}, req.Messages...)
	model := os.Getenv("OPENAI_MODEL")
	if model == "" {
		model = "gpt-5.5"
	}
	body, _ := json.Marshal(map[string]interface{}{
		"model": model, "stream": true, "messages": messages,
	})

	apiReq, _ := http.NewRequest("POST", "https://api.openai.com/v1/chat/completions", bytes.NewReader(body))
	apiReq.Header.Set("Content-Type", "application/json")
	apiReq.Header.Set("Authorization", "Bearer "+os.Getenv("OPENAI_API_KEY"))

	resp, err := http.DefaultClient.Do(apiReq)
	if err != nil {
		http.Error(w, "OpenAI request failed", 502)
		return
	}
	defer resp.Body.Close()

	w.Header().Set("Content-Type", "text/event-stream")
	w.Header().Set("Cache-Control", "no-cache")
	w.Header().Set("Connection", "keep-alive")

	flusher, ok := w.(http.Flusher)
	if !ok {
		http.Error(w, "Streaming not supported", 500)
		return
	}

	// Forward upstream SSE line-by-line so the client sees tokens as they
	// arrive instead of waiting for the whole stream to complete.
	scanner := bufio.NewScanner(resp.Body)
	scanner.Buffer(make([]byte, 0, 64*1024), 1024*1024)
	for scanner.Scan() {
		line := scanner.Bytes()
		if _, err := w.Write(line); err != nil {
			return
		}
		if _, err := w.Write([]byte("\n")); err != nil {
			return
		}
		flusher.Flush()
	}
}

func main() {
	mux := http.NewServeMux()
	mux.HandleFunc("/api/chat", chatHandler)

	fmt.Println("Go backend listening on :8080")
	log.Fatal(http.ListenAndServe(":8080", corsMiddleware(mux)))
}
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:8080/api/chat"
    />
  );
}

The Go backend forwards OpenAI's SSE stream line-by-line with a bufio.Scanner loop, flushing after each line (no io.Copy), so the client sees tokens as they arrive. Pair it with openAIAdapter() on the frontend. openAIReadableStreamAdapter() is for NDJSON (no data: prefix) and will silently produce no output here.

An official OpenAI Go SDK exists (github.com/openai/openai-go/v3, ~v3.41.0, requires Go 1.22+) as an alternative to hand-rolling the HTTP call. This skill keeps raw net/http as the dependency-free default. Note the SDK still ships small, limited breaking changes between releases (per its own README, some backwards-incompatible changes land in minor versions), so pin a version if you adopt it.

System Prompt Generation

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

Validation Checklist

  • system-prompt.txt exists in the Go backend directory
  • OPENAI_API_KEY is set in environment or .env
  • CORS middleware allows the frontend origin
  • Response streams SSE directly from OpenAI API (passthrough)
  • Frontend apiUrl points to http://localhost:8080/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

ErrorCauseFix
CORS blockedOrigin mismatchUpdate Access-Control-Allow-Origin in middleware
system-prompt.txt not foundFile missing from backend dirRun CLI generate command
502 Bad GatewayOpenAI API unreachable or key invalidCheck OPENAI_API_KEY and network
Stream not flushingMissing http.FlusherEnsure handler calls flusher.Flush()
Empty responseBody not forwardedVerify the bufio.Scanner loop writes and flushes each line
Metadatos del archivo
name: openui-forge-go
description: OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.
version: 1.2.0
author: OthmanAdi
Ver texto original
---
name: openui-forge-go
description: OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.
version: 1.2.0
author: OthmanAdi
---

# OpenUI Forge — Go

Build generative UI apps with a React frontend + Go backend. Streams OpenAI API responses directly via net/http.

## Activation Triggers

- "openui go", "openui golang", "openui go backend"
- "generative ui go", "go streaming ui backend"

## Prerequisites

- Node.js >= 22 (24 LTS recommended) + React >= 18.3.1 (19+ recommended) (frontend)
- Go >= 1.24 (backend; 1.23 and older are out of security support as of Go 1.26)
- `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 Go backend (see Full Code below)
4. Run: `go run main.go` on `:8080`, frontend on `:3000`

## Full Code

### Backend: `backend/go.mod`

```
module openui-backend

go 1.24

require (
    github.com/joho/godotenv v1.5.1
)
```

### Backend: `backend/main.go`

```go
package main

import (
	"bufio"
	"bytes"
	"encoding/json"
	"fmt"
	"log"
	"net/http"
	"os"

	_ "github.com/joho/godotenv/autoload"
)

var systemPrompt string

func init() {
	data, err := os.ReadFile("system-prompt.txt")
	if err != nil {
		log.Fatal("system-prompt.txt not found: ", err)
	}
	systemPrompt = string(data)
}

func corsMiddleware(next http.Handler) http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		w.Header().Set("Access-Control-Allow-Origin", "http://localhost:3000")
		w.Header().Set("Vary", "Origin")
		w.Header().Set("Access-Control-Allow-Methods", "POST, OPTIONS")
		w.Header().Set("Access-Control-Allow-Headers", "Content-Type, Authorization")
		if r.Method == "OPTIONS" {
			w.WriteHeader(204)
			return
		}
		next.ServeHTTP(w, r)
	})
}

type Message struct {
	Role    string `json:"role"`
	Content string `json:"content"`
}

type ChatRequest struct {
	Messages []Message `json:"messages"`
}

func chatHandler(w http.ResponseWriter, r *http.Request) {
	if r.Method != "POST" {
		http.Error(w, "Method not allowed", 405)
		return
	}

	var req ChatRequest
	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
		http.Error(w, "Bad request", 400)
		return
	}

	messages := append([]Message{{Role: "system", Content: systemPrompt}}, req.Messages...)
	model := os.Getenv("OPENAI_MODEL")
	if model == "" {
		model = "gpt-5.5"
	}
	body, _ := json.Marshal(map[string]interface{}{
		"model": model, "stream": true, "messages": messages,
	})

	apiReq, _ := http.NewRequest("POST", "https://api.openai.com/v1/chat/completions", bytes.NewReader(body))
	apiReq.Header.Set("Content-Type", "application/json")
	apiReq.Header.Set("Authorization", "Bearer "+os.Getenv("OPENAI_API_KEY"))

	resp, err := http.DefaultClient.Do(apiReq)
	if err != nil {
		http.Error(w, "OpenAI request failed", 502)
		return
	}
	defer resp.Body.Close()

	w.Header().Set("Content-Type", "text/event-stream")
	w.Header().Set("Cache-Control", "no-cache")
	w.Header().Set("Connection", "keep-alive")

	flusher, ok := w.(http.Flusher)
	if !ok {
		http.Error(w, "Streaming not supported", 500)
		return
	}

	// Forward upstream SSE line-by-line so the client sees tokens as they
	// arrive instead of waiting for the whole stream to complete.
	scanner := bufio.NewScanner(resp.Body)
	scanner.Buffer(make([]byte, 0, 64*1024), 1024*1024)
	for scanner.Scan() {
		line := scanner.Bytes()
		if _, err := w.Write(line); err != nil {
			return
		}
		if _, err := w.Write([]byte("\n")); err != nil {
			return
		}
		flusher.Flush()
	}
}

func main() {
	mux := http.NewServeMux()
	mux.HandleFunc("/api/chat", chatHandler)

	fmt.Println("Go backend listening on :8080")
	log.Fatal(http.ListenAndServe(":8080", corsMiddleware(mux)))
}
```

### 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:8080/api/chat"
    />
  );
}
```

> The Go backend forwards OpenAI's SSE stream line-by-line with a `bufio.Scanner` loop, flushing after each line (no `io.Copy`), so the client sees tokens as they arrive. Pair it with `openAIAdapter()` on the frontend. `openAIReadableStreamAdapter()` is for NDJSON (no `data:` prefix) and will silently produce no output here.
>
> An official OpenAI Go SDK exists (`github.com/openai/openai-go/v3`, ~v3.41.0, requires Go 1.22+) as an alternative to hand-rolling the HTTP call. This skill keeps raw `net/http` as the dependency-free default. Note the SDK still ships small, limited breaking changes between releases (per its own README, some backwards-incompatible changes land in minor versions), so pin a version if you adopt it.

## 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 Go backend directory
- [ ] `OPENAI_API_KEY` is set in environment or `.env`
- [ ] CORS middleware allows the frontend origin
- [ ] Response streams SSE directly from OpenAI API (passthrough)
- [ ] Frontend `apiUrl` points to `http://localhost:8080/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 |
|-------|-------|-----|
| CORS blocked | Origin mismatch | Update `Access-Control-Allow-Origin` in middleware |
| `system-prompt.txt not found` | File missing from backend dir | Run CLI generate command |
| 502 Bad Gateway | OpenAI API unreachable or key invalid | Check `OPENAI_API_KEY` and network |
| Stream not flushing | Missing `http.Flusher` | Ensure handler calls `flusher.Flush()` |
| Empty response | Body not forwarded | Verify the `bufio.Scanner` loop writes and flushes each line |

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Licencia: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • Falta aprobación de revisión por IA
  • Financial research output is not financial advice; require human review before any live investment decision.
  • 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
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Repositorio fuente
OthmanAdi/openui-forge
Licencia
MIT
Versión
1.2.0
Último push de GitHub
3 ago 2026
Registro actualizado
13 sept 2026

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

49/100

Requiere revisión

Confianza

56/100

Do not auto-install

Auditoría

67/100

Requiere revisión

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • Falta aprobación de revisión por IA
  • Financial research output is not financial advice; require human review before any live investment decision.
  • 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
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      "lastPushed": "2mo since push",
      "license": "MIT",
      "repository": "https://github.com/OthmanAdi/openui-forge/tree/main/.agents/skills/openui-forge-go",
      "install": "npx skills add OthmanAdi/openui-forge --skill openui-forge-go",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "design-creative",
      "agent-skill"
    ],
    "known_risks": [
      "AI review approval is missing",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Low GitHub adoption signal",
      "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"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 67,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Low GitHub adoption signal",
      "AI review approval is missing",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "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",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "AI review approval is missing"
  ],
  "agent_contract": {
    "task_input": "Use openui-forge-go 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-go (openui-forge-go)",
      "install_command": "npx skills add OthmanAdi/openui-forge --skill openui-forge-go",
      "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-go",
      "task": "Use openui-forge-go 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-go",
    "api": "https://www.openagentskill.com/api/agent/skills/othmanadi-openui-forge-go",
    "audit": "https://www.openagentskill.com/skills/othmanadi-openui-forge-go/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=othmanadi-openui-forge-go&task=Use%20openui-forge-go%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20openui-forge-go%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20openui-forge-go%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/othmanadi-openui-forge-go/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/othmanadi-openui-forge-go"
  }
}

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