History

Yiorgis Gozadinos 2dca72d670 Revert "Handle client-side tool calls in graph ag-ui emitter" This reverts commit `b1d19651d5`.		2025-11-18 15:19:28 +02:00
..
.gitignore	Basic skeleton for running an ag-ui demo using starlette and nextjs	2025-10-17 12:43:27 +03:00
agent.py	Refactor ag-ui-research. Drop human-in-the-loop, use MemoryObjectSendStream to merge the graph and agent streams together	2025-11-13 13:22:53 +02:00
Dockerfile	Update ag-ui-research example with haiku.rag-slim image	2025-11-17 14:42:14 +02:00
main.py	Revert "Handle client-side tool calls in graph ag-ui emitter"	2025-11-18 15:19:28 +02:00
pyproject.toml	Update and lock pydantic-ai-slim	2025-11-14 11:26:09 +02:00
README.md	Refactor ag-ui-research. Drop human-in-the-loop, use MemoryObjectSendStream to merge the graph and agent streams together	2025-11-13 13:22:53 +02:00
uv.lock	Refactor ag-ui-research. Drop human-in-the-loop, use MemoryObjectSendStream to merge the graph and agent streams together	2025-11-13 13:22:53 +02:00

Haiku.rag Research Assistant Backend

Starlette backend for the haiku.rag interactive research assistant, using the research graph with AG-UI protocol support.

Setup

uv sync
uv run python main.py

The server starts on http://localhost:8000 and uses haiku.rag configuration.

The backend uses create_agui_server() from haiku.rag.graph.agui.server which provides:

Research graph execution: Multi-iteration research workflow with insight/gap tracking
AG-UI protocol: Server-Sent Events (SSE) streaming for real-time state updates
Delta state updates: Efficient incremental state synchronization using JSON Patch operations
Both research and deep_qa endpoints: /agent/research and /agent/deep_qa

GET /health - Health check with configuration info
POST /agent/research/stream - Research graph streaming endpoint (AG-UI protocol)
POST /agent/deep_qa/stream - Deep QA graph streaming endpoint (AG-UI protocol)