References
References
LangGraph
- Build a custom workflow
- LangGraph の(LLM なし)Human-in-the-loop を試してみた
- 🤖 LangGraph Multi-Agent Supervisor
- Software Design 誌「実践 LLM アプリケーション開発」第 24 回サンプルコード
- Streamlit
- LangChain MCP Adapters
- Research Agent with MCP Integration.
- Command: A new tool for building multi-agent architectures in LangGraph
- Combine control flow and state updates with Command
- Command: a new tool for building multi-agent architectures in LangGraph
- masamasa59/genai-agent-advanced-book > chapter6
- langchain-ai/deepagents
- Custom UI for Deep Agents
- How to deploy self-hosted standalone server
- 「現場で活用するための AI エージェント実践入門」リポジトリ
LangChain
Azure AI Foundry
- Quickstart: Get started with Azure AI Foundry
- azure-rest-api-specs/specification/ai/data-plane/Azure.AI.Agents
- How to use the Deep Research tool
Services
Observability
- OpenTelemetry
- Python / Getting Started
- Python / Cookbook
- OpenTelemetry Collector
- OpenTelemetry Collector / Quick Start
- zPages / Exposed zPages routes
- Jaeger
- Jaeger / Minimal deployment example (Elasticsearch backend)
- Prometheus
- Prometheus / Getting Started
n8n
Audio
- Python の sounddevice を改めて試す
- How To Install libportaudio2 on Ubuntu 22.04:
sudo apt-get -y install libportaudio2 - python-sounddevice
- python-soundfile
OpenAI
Realtime API
- August 2025 / Realtime API audio model GA
- Global Standard model availability
- specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2025-04-01-preview/inference.json
- Realtime API with WebSocket
- GPT-4o Realtime API for speech and audio
- OpenAI Python API library > examples/realtime
- How to use the GPT-4o Realtime API via WebRTC
Responses API
- OpenAI / New tools for building agents
- OpenAI / Responses
- Azure OpenAI Responses API
- LangChain / Responses API