feat(chat): support AGNES image/video models in AI chat - backend _generate_media (images/generations + async videos polling) and frontend MarkdownContent media rendering + model capability badges; nginx proxy_read_timeout raised to 600s for long media generation
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@@ -12,6 +12,7 @@ import uuid
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from datetime import datetime, timezone, timedelta
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import re
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import json
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import asyncio
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import math
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import httpx
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import os
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@@ -40,6 +41,108 @@ def cst_now():
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return datetime.now(CST_TZ)
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def _html_escape(s: str) -> str:
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return (str(s).replace("&", "&").replace("<", "<").replace(">", ">")
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.replace('"', """).replace("'", "'"))
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async def _generate_media(db, ai_model, prompt: str, user_id: str = None) -> str:
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"""图像/视频生成模型统一入口：按 capabilities 调用 AGNES 等媒体生成 API。
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返回可直接在 AI 聊天中渲染的富文本(含 <img>/<video> 标签)。"""
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provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
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api_key = ai_model.api_key or (provider.api_key if provider else None)
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if not api_key:
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return "⚠️ 该媒体模型缺少 API Key，请在后台「大模型库」中配置。"
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caps = [c.lower() for c in (ai_model.capabilities or [])]
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headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
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timeout = ai_model.timeout or 120
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# ============ 图像生成 ============
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if "image" in caps:
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api_url = ai_model.endpoint
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if not api_url:
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api_url = f"{provider.api_base_url.rstrip('/')}/v1/images/generations" if provider else ""
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if not api_url:
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return "⚠️ 该图像模型未配置 Endpoint。"
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payload = {
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"model": ai_model.name,
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"prompt": prompt,
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"size": "1024x768",
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"extra_body": {"response_format": "url"},
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}
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try:
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async with httpx.AsyncClient(timeout=timeout) as client:
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resp = await client.post(api_url, headers=headers, json=payload)
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if resp.status_code != 200:
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return f"⚠️ 图像生成失败 (HTTP {resp.status_code}): {resp.text[:200]}"
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data = resp.json()
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items = data.get("data") or []
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if not items:
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return f"⚠️ 图像生成失败：响应无图片数据 {str(data)[:200]}"
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item = items[0]
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url = item.get("url") or item.get("b64_json")
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if not url:
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return f"⚠️ 图像生成失败：未返回图片地址 {str(data)[:200]}"
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if not url.startswith("http"):
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url = f"data:image/png;base64,{url}"
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return (f'<img class="md-img" src="{url}" alt="生成图片"/>\n\n'
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f'**提示词：** {_html_escape(prompt)}')
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except Exception as e:
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return f"⚠️ 图像生成异常：{str(e)[:200]}"
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# ============ 视频生成 (异步任务 + 轮询) ============
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if "video" in caps:
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api_url = ai_model.endpoint
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if not api_url:
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api_url = f"{provider.api_base_url.rstrip('/')}/v1/videos" if provider else ""
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if not api_url:
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return "⚠️ 该视频模型未配置 Endpoint。"
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base = api_url.split("/v1")[0] if "/v1" in api_url else api_url
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payload = {
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"model": ai_model.name,
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"prompt": prompt,
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"height": 768,
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"width": 1152,
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"num_frames": 121,
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"frame_rate": 24,
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}
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try:
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async with httpx.AsyncClient(timeout=timeout) as client:
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resp = await client.post(api_url, headers=headers, json=payload)
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if resp.status_code != 200:
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return f"⚠️ 视频生成失败 (HTTP {resp.status_code}): {resp.text[:200]}"
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data = resp.json()
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video_id = data.get("video_id") or data.get("task_id") or data.get("id")
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if not video_id:
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return f"⚠️ 视频生成失败：未返回任务ID {str(data)[:200]}"
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# 轮询结果(最多约 5 分钟)
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result_url = None
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err_msg = None
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for _ in range(60):
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await asyncio.sleep(5)
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r2 = await client.get(f"{base}/agnesapi?video_id={video_id}", headers=headers)
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if r2.status_code != 200:
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continue
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rd = r2.json()
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st = rd.get("status")
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if st == "completed":
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result_url = rd.get("url")
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break
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if st == "failed":
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err_msg = rd.get("error")
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break
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if result_url:
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return (f'<video class="md-video" controls src="{result_url}"></video>\n\n'
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f'**提示词：** {_html_escape(prompt)}')
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return f"⚠️ 视频生成失败：{err_msg or '生成超时，请稍后在对话中重试'}"
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except Exception as e:
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return f"⚠️ 视频生成异常：{str(e)[:200]}"
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return "⚠️ 未知的媒体模型类型。"
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# ============================================================
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# Request Models
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# ============================================================
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@@ -881,7 +984,14 @@ async def send_message(
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if model_id:
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ai_model = db.query(AIModel).filter(AIModel.id == model_id).first()
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if ai_model and ai_model.endpoint:
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# ====== 图像/视频生成模型分支 ======
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caps = [c.lower() for c in (ai_model.capabilities or [])] if ai_model else []
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if ai_model and ("image" in caps or "video" in caps):
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try:
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ai_content = await _generate_media(db, ai_model, req.content, current_user.id)
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except Exception as e:
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ai_content = f"⚠️ 媒体生成失败：{str(e)[:200]}"
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elif ai_model and ai_model.endpoint:
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provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
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api_key = ai_model.api_key or (provider.api_key if provider else None)
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api_url = ai_model.endpoint
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@@ -1333,6 +1443,7 @@ def get_models(db: Session = Depends(get_db)):
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"display_name": getattr(m, "display_name", None) or m.name,
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"provider_id": m.provider_id,
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"provider_name": provider.name if provider else "",
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"capabilities": m.capabilities or [],
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"status": m.status,
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"price_per_million_tokens": float(m.price_per_million_tokens or 0),
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"is_enabled": m.is_enabled,
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