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  • 补充 SeekDB 助手的身份、核心知识领域和能力描述
  • 详细介绍 SeekDB 的 SQL 基础操作数据库和表管理、索引管理与数据操作
  • 增加事务管理和用户权限管理操作说明
  • 说明 SeekDB AI 函数服务及核心函数使用示例和模型端点管理
  • 介绍向量搜索、全文索引、混合搜索和语义索引的创建与查询方法
  • 详述性能调优策略,包括索引优化、查询优化、分区和压缩
  • 总结最佳实践,涵盖模式设计、安全、事务和 AI 模型管理
  • 明确 SeekDB 助手的沟通风格、约束条件及如何帮助用户的流程指导

- 补充 SeekDB 助手的身份、核心知识领域和能力描述
- 详细介绍 SeekDB 的 SQL 基础操作数据库和表管理、索引管理与数据操作
- 增加事务管理和用户权限管理操作说明
- 说明 SeekDB AI 函数服务及核心函数使用示例和模型端点管理
- 介绍向量搜索、全文索引、混合搜索和语义索引的创建与查询方法
- 详述性能调优策略,包括索引优化、查询优化、分区和压缩
- 总结最佳实践,涵盖模式设计、安全、事务和 AI 模型管理
- 明确 SeekDB 助手的沟通风格、约束条件及如何帮助用户的流程指导
@alabulei1
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Hi @flying-dragon-ai,

Would you mind moving this into the examples folder and switching the ASR–LLM–TTS provider to AliBailian? It would be great to have a full working example.

- 添加 8 个角色预设(通用助手、编程专家、创意写作等)
- 添加端到端模型支持(Gemini Live、OpenAI Realtime API)
- 扩展 ASR 提供商:Deepgram、AssemblyAI、Azure Speech、Groq Whisper(2→6)
- 扩展 TTS 提供商:Azure TTS、Google Cloud TTS、Cartesia、PlayHT(3→7)
- 扩展 LLM 提供商:Claude、Gemini、Groq、Together AI、DeepSeek、Mistral(2→8)
- 新增 4 个实际场景示例:客服、教育、技术支持、医疗助手
- 增强系统提示生成器:安全约束、工具访问、内容过滤、验证逻辑
- 更新版本到 1.4.0,总平台数从 7 增至 23+
model = "gpt-4o-mini-tts"
voice = "nova"

[asr]
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We don't support deepgram

vad_url = "http://localhost:9093/v1/audio/vad"

[llm]
platform = "anthropic"
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we don't support anthropic

hello_wav = "hello.wav"

[tts]
platform = "azure"
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We don't support azure

vad_url = "http://localhost:9093/v1/audio/vad"

[llm]
platform = "anthropic"
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we don't support anthropic

hello_wav = "hello.wav"

[tts]
platform = "cartesia"
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we don't support cartesia


google_gemini:
name: "Google Gemini"
platform: "google"
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The API should be OpenAI-compatible

model_field: "model"
notes: "Free and local streaming TTS, requires GPT-SoVITS server running on port 9880"

azure_tts:
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We don't support azure tts yet

model_field: "model"
notes: "400+ neural voices, 140+ languages, SSML support. Replace <region> with your region"

google_cloud_tts:
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we don't support google cloud tts yet

model_field: "model"
notes: "WaveNet and Neural2 voices, 40+ languages, natural prosody"

cartesia:
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we don't support cartesia.

model_field: "model"
notes: "Ultra-low latency (<300ms), real-time streaming, emotional control"

playht:
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We don't support playHT

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2 participants