alt text generator with streaming reasoning and moderation

- pydantic-ai agents for moderation check and alt text generation
- transparent moderation result display
- token-by-token reasoning stream via SSE
- instructions field for customizing alt text output
- rate limiting, logfire integration, fly.io deployment

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <[e-mail]>

.dockerignore

···
+.git
+.gitignore
+.venv
+__pycache__
+*.pyc
+.env
+.env.*
+*.md
+.ruff_cache
+.pytest_cache

.gitignore

···
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv
+
+.env

.python-version

···
+3.14

Dockerfile

···
+FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim
+
+WORKDIR /app
+
+ENV PYTHONPATH="/app/src"
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends && \
+    rm -rf /var/lib/apt/lists/*
+
+COPY . /app
+
+RUN uv sync
+
+EXPOSE 8080
+
+CMD ["uv", "run", "alt-text"]

README.md

···
+# alt-text
+
+generate alt text for images using claude
+
+https://alt-text-generator.fly.dev

fly.toml

···
+app = 'alt-text-generator'
+primary_region = 'ord'
+
+[build]
+
+[processes]
+app = "uv run alt-text"
+
+[http_service]
+internal_port = 8080
+force_https = true
+auto_stop_machines = 'stop'
+auto_start_machines = true
+min_machines_running = 0
+processes = ['app']
+
+[[http_service.checks]]
+interval = "30s"
+timeout = "5s"
+method = "GET"
+path = "/health"
+grace_period = "10s"
+
+[[vm]]
+memory = '512mb'
+cpu_kind = 'shared'
+cpus = 1

justfile

···
+dev:
+    uv run uvicorn alt_text.server:app --reload --host 0.0.0.0 --port 8080
+
+lint:
+    uv run ruff check src/ --fix
+    uv run ruff format src/
+
+deploy:
+    fly deploy

pyproject.toml

···
+[project]
+name = "alt-text"
+version = "0.1.0"
+description = "generate alt text for images using AI"
+authors = [
+    { name = "zzstoatzz", email = "[e-mail]" }
+]
+requires-python = ">=3.13"
+dependencies = [
+    "fastapi",
+    "uvicorn",
+    "python-multipart",
+    "logfire[fastapi]>=4.16.0",
+    "slowapi>=0.1.9",
+    "pydantic-ai>=1.37.0",
+]
+
+[project.scripts]
+alt-text = "alt_text.server:main"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/alt_text"]
+
+[tool.ruff]
+target-version = "py313"
+
+[tool.ruff.lint]
+extend-select = ["I", "UP"]
+
+[dependency-groups]
+dev = [
+    "ipython>=9.8.0",
+]

src/alt_text/__init__.py

···
+"""alt text generator."""

src/alt_text/config.py

···
+"""configuration."""
+
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(env_file=".env", extra="ignore")
+
+    debug: bool = False
+    port: int = Field(default=8080, validation_alias="PORT")
+    model: str = "claude-haiku-4-5"
+    anthropic_api_key: str = Field(default="", validation_alias="ANTHROPIC_API_KEY")
+    logfire_enabled: bool = Field(default=False, validation_alias="LOGFIRE_ENABLED")
+    logfire_token: str = Field(default="", validation_alias="LOGFIRE_WRITE_TOKEN")
+    rate_limit_enabled: bool = True
+    rate_limit: str = "10/minute"
+
+
+settings = Settings()

src/alt_text/prompts.py

···
+"""prompts and output schemas."""
+
+from typing import Annotated, NotRequired, TypedDict
+
+from pydantic import BaseModel, Field
+
+
+class ModerationResult(BaseModel):
+    safe: bool = Field(description="whether the image is safe to process")
+    confidence: float = Field(description="confidence score 0-1")
+    reason: str | None = Field(default=None, description="reason if flagged")
+
+
+class AltTextResult(TypedDict):
+    reasoning: Annotated[str, Field(description="brief explanation of what you see")]
+    alt_text: NotRequired[Annotated[str, Field(description="the concise alt text")]]
+
+
+MODERATION_PROMPT = """analyze this image for content moderation. flag if it contains:
+- illegal content
+- explicit sexual content
+- extreme violence or gore
+- content that could cause serious harm
+
+respond with whether it's safe to process."""
+
+ALT_TEXT_PROMPT = """generate concise alt text for this image. focus on accessibility.
+describe what's visually important for someone who cannot see the image.
+keep the alt text under 300 characters when possible.
+
+if the user provides instructions, apply them to the FINAL alt_text output only, not your reasoning."""

src/alt_text/server.py

···
+"""alt text generator."""
+
+import json
+import logging
+from pathlib import Path
+from typing import Annotated
+
+import uvicorn
+from fastapi import FastAPI, File, Form, Request, UploadFile
+from fastapi.responses import HTMLResponse, StreamingResponse
+from pydantic_ai import Agent, BinaryContent
+from pydantic_ai.models.anthropic import AnthropicModel
+from pydantic_ai.providers.anthropic import AnthropicProvider
+from slowapi import Limiter, _rate_limit_exceeded_handler
+from slowapi.errors import RateLimitExceeded
+from slowapi.middleware import SlowAPIMiddleware
+from slowapi.util import get_remote_address
+
+from alt_text.config import settings
+from alt_text.prompts import (
+    ALT_TEXT_PROMPT,
+    MODERATION_PROMPT,
+    AltTextResult,
+    ModerationResult,
+)
+
+logging.basicConfig(level=logging.DEBUG if settings.debug else logging.INFO)
+logger = logging.getLogger(__name__)
+
+if settings.logfire_enabled:
+    import logfire
+
+    logfire.configure(token=settings.logfire_token)
+    logfire.instrument_pydantic_ai()
+
+# models
+model = AnthropicModel(
+    settings.model,
+    provider=AnthropicProvider(api_key=settings.anthropic_api_key),
+)
+
+# agents
+moderator = Agent(model, output_type=ModerationResult, system_prompt=MODERATION_PROMPT)
+generator = Agent(model, output_type=AltTextResult, system_prompt=ALT_TEXT_PROMPT)
+
+# rate limiting
+limiter = Limiter(
+    key_func=get_remote_address,
+    enabled=settings.rate_limit_enabled,
+    default_limits=[settings.rate_limit],
+    storage_uri="memory://",
+)
+
+# app
+app = FastAPI(title="alt text generator")
+app.state.limiter = limiter
+app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
+app.add_middleware(SlowAPIMiddleware)
+
+if settings.logfire_enabled:
+    logfire.instrument_fastapi(app)
+
+# template
+TEMPLATE = (Path(__file__).parent / "templates" / "index.html").read_text()
+MAX_SIZE = 5 * 1024 * 1024
+
+
[e-mail]("/", response_class=HTMLResponse)
+async def index():
+    return TEMPLATE.replace("{{model}}", settings.model)
+
+
[e-mail]("/generate")
[e-mail](settings.rate_limit)
+async def generate(
+    request: Request,
+    image: Annotated[UploadFile, File()],
+    description: Annotated[str, Form()] = "",
+):
+    content = await image.read()
+    media_type = image.content_type or "image/jpeg"
+
+    async def stream():
+        if len(content) > MAX_SIZE:
+            yield f"data: {json.dumps({'status': 'error', 'message': 'image too large (max 5MB)'})}\n\n"
+            return
+
+        try:
+            image_content = BinaryContent(data=content, media_type=media_type)
+
+            # moderation check - show result transparently to user
+            yield f"data: {json.dumps({'status': 'moderation_start'})}\n\n"
+            mod = await moderator.run(["check this image", image_content])
+            mod_data = {
+                "safe": mod.output.safe,
+                "confidence": mod.output.confidence,
+                "reason": mod.output.reason,
+            }
+            yield f"data: {json.dumps({'status': 'moderation_result', **mod_data})}\n\n"
+
+            if not mod.output.safe and mod.output.confidence > 0.8:
+                reason = mod.output.reason or "content policy"
+                msg = f"flagged: {reason}. if this is a mistake, DM @zzstoatzz.io"
+                yield f"data: {json.dumps({'status': 'error', 'message': msg})}\n\n"
+                return
+
+            # generate alt text - stream reasoning as it builds up
+            yield f"data: {json.dumps({'status': 'reasoning_start'})}\n\n"
+            prompt = "describe this image" + (
+                f" (context: {description})" if description else ""
+            )
+            last_reasoning = ""
+            final_output = None
+            async with generator.run_stream([prompt, image_content]) as result:
+                async for output in result.stream_output(debounce_by=None):
+                    reasoning = output.get("reasoning", "")
+                    if reasoning and reasoning != last_reasoning:
+                        if new_text := reasoning[len(last_reasoning) :]:
+                            yield f"data: {json.dumps({'status': 'reasoning', 'chunk': new_text})}\n\n"
+                        last_reasoning = reasoning
+                    final_output = output
+            # send final result
+            if final_output:
+                yield f"data: {json.dumps({'status': 'result', 'alt_text': final_output.get('alt_text', '')})}\n\n"
+            yield f"data: {json.dumps({'status': 'complete'})}\n\n"
+        except Exception as e:
+            logger.exception("generation failed")
+            yield f"data: {json.dumps({'status': 'error', 'message': str(e)})}\n\n"
+
+    return StreamingResponse(
+        stream(),
+        media_type="text/event-stream",
+        headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
+    )
+
+
[e-mail]("/health")
+async def health():
+    return {"status": "ok"}
+
+
+def main():
+    uvicorn.run(app, host="0.0.0.0", port=settings.port)

src/alt_text/templates/index.html

···
+<!DOCTYPE html>
+<html><head>
+<meta charset="UTF-8"><meta name="viewport" content="width=device-width,initial-scale=1">
+<title>alt text generator</title>
+<style>
+*{box-sizing:border-box;margin:0;padding:0}
+body{font-family:ui-monospace,monospace;background:#0a0a0a;color:#e0e0e0;min-height:100vh;display:flex;justify-content:center;align-items:center;padding:20px;font-size:14px}
+.c{max-width:560px;width:100%}
+h1{font-size:14px;font-weight:400;margin-bottom:24px;color:#666}
+h1 a{color:#666}
+.f{margin-bottom:12px}
+label{display:block;color:#666;margin-bottom:4px}
+input{width:100%;padding:8px;background:#141414;border:1px solid #333;border-radius:4px;color:#e0e0e0;font:inherit}
+input::placeholder{color:#444}
+button{padding:8px 16px;background:#1d4ed8;border:none;border-radius:4px;color:#fff;font:inherit;cursor:pointer}
+button:hover{background:#2563eb}
+button:disabled{background:#333;cursor:not-allowed}
+#p{margin:16px 0;display:none}
+#p img{max-width:100%;border-radius:4px;border:1px solid #333}
+#s{color:#666;min-height:20px}
+#s.e{color:#ef4444}
+#s.ok{color:#22c55e}
+#mod{margin:12px 0;padding:8px 12px;background:#141414;border:1px solid #333;border-radius:4px;font-size:12px;display:none}
+#mod.safe{border-color:#22c55e33;background:#22c55e0a}
+#mod.unsafe{border-color:#ef444433;background:#ef44440a}
+#mod .label{color:#666}
+#mod .val{color:#888}
+#mod.safe .val{color:#22c55e}
+#mod.unsafe .val{color:#ef4444}
+#r{margin-top:16px;display:none}
+#reasoning{color:#666;font-size:12px;margin-bottom:12px;font-style:italic;line-height:1.5;white-space:pre-wrap}
+#a{background:#141414;border:1px solid #333;border-radius:4px;padding:12px;line-height:1.5;margin-bottom:8px}
+.cp{background:#222}
+.cp:hover{background:#333}
+</style></head>
+<body><div class="c">
+<h1>alt text generator <span style="color:#666;font-weight:400">(via <a href="https://platform.claude.com/docs/en/about-claude/models/overview">{{model}}</a>)</span> <a href="https://tangled.sh/@zzstoatzz.io/alt-text" target="_blank" style="font-size:11px;color:#555">[src]</a></h1>
+<form id="f">
+<div class="f"><label>image</label><input type="file" id="i" name="image" accept="image/*" required></div>
+<div class="f"><label>instructions (optional)</label><input type="text" name="description" placeholder="e.g. include album names, focus on the cat..."></div>
+<button type="submit">generate</button>
+</form>
+<div id="p"><img id="pi" alt=""></div>
+<div id="s"></div>
+<div id="mod"><span class="label">moderation:</span> <span class="val"></span></div>
+<div id="r">
+<div id="reasoning"></div>
+<div id="a"></div>
+<button class="cp" id="cpbtn" style="display:none" onclick="navigator.clipboard.writeText(a.textContent);this.textContent='copied';setTimeout(()=>this.textContent='copy',1500)">copy</button>
+</div>
+</div>
+<script>
+const f=document.getElementById('f'),i=document.getElementById('i'),p=document.getElementById('p'),pi=document.getElementById('pi'),s=document.getElementById('s'),r=document.getElementById('r'),a=document.getElementById('a'),reasoning=document.getElementById('reasoning'),mod=document.getElementById('mod'),modVal=mod.querySelector('.val'),cpbtn=document.getElementById('cpbtn');
+i.onchange=e=>{const file=e.target.files[0];if(file){const rd=new FileReader();rd.onload=e=>{pi.src=e.target.result;p.style.display='block'};rd.readAsDataURL(file)}};
+f.onsubmit=async e=>{
+e.preventDefault();r.style.display='none';a.style.display='none';a.textContent='';reasoning.style.display='none';reasoning.textContent='';s.className='';s.textContent='';mod.style.display='none';mod.className='';modVal.textContent='';cpbtn.style.display='none';f.querySelector('button').disabled=true;
+try{
+const res=await fetch('/generate',{method:'POST',body:new FormData(f)});
+for await(const chunk of res.body){
+const text=new TextDecoder().decode(chunk);
+for(const line of text.split('\n\n')){
+if(!line.startsWith('data: '))continue;
+const d=JSON.parse(line.slice(6));
+if(d.status==='moderation_start'){s.textContent='› checking content...';mod.style.display='block';modVal.textContent='checking...'}
+else if(d.status==='moderation_result'){
+  mod.className=d.safe?'safe':'unsafe';
+  const conf=Math.round(d.confidence*100);
+  modVal.textContent=d.safe?`safe (${conf}% confidence)`:`flagged: ${d.reason||'content policy'} (${conf}%)`;
+}
+else if(d.status==='reasoning_start'){s.textContent='› thinking...';reasoning.style.display='block';r.style.display='block'}
+else if(d.status==='reasoning'){reasoning.textContent+=d.chunk}
+else if(d.status==='result'){a.textContent=d.alt_text;a.style.display='block';cpbtn.style.display='inline-block'}
+else if(d.status==='complete'){s.className='ok';s.textContent='done'}
+else if(d.status==='error'){s.className='e';s.textContent='error: '+d.message;r.style.display='none';reasoning.style.display='none';a.style.display='none'}
+}}}
+catch(err){s.className='e';s.textContent='error: '+err.message}
+f.querySelector('button').disabled=false};
+</script></body></html>

uv.lock

···
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