ag-ui-agent-spec

Open Agent Spec <> AG‑UI (Python)

Agent runner that emits AG‑UI events and a small FastAPI/uvicorn server to stream them to Dojo via SSE.

What this is

• Agent runner: ag_ui_agentspec/agent.py executes an Agent Spec configuration on a chosen runtime and bridges spans to AG‑UI events.
• Server wiring: ag_ui_agentspec/endpoint.py exposes a POST SSE endpoint that streams those events to the Dojo frontend.

Supported agent runtimes and Dojo features

• Wayflow (Oracle's reference agent framework) (chat, frontend tools, backend tools)
• LangGraph (chat, frontend tools, backend tools, tool call streaming)

Install

Base library plus optional extras so you can choose runtimes. Routers are lazy-loaded; if you don't install a runtime, its routes will not work.

Before installation, please clone the following GitHub repositories:

• AG-UI and cd ag-ui/integrations/agent-spec/python
• Agent Spec
• WayFlow
• Please put these 3 repos in the same directory.

# Wayflow only
uv pip install -e .[wayflow]

# LangGraph only
uv pip install -e .[langgraph]

# Multiple
uv pip install -e .[wayflow,langgraph]

Run the example server

cd ag-ui/integrations/agent-spec/python/examples
uv sync --extra langgraph --extra wayflow && uv run dev   # both runtimes; serves http://localhost:9003
# or pick one runtime:
# uv sync --extra langgraph && uv run dev
# uv sync --extra wayflow && uv run dev
# then run Dojo (in a separate terminal):
# Option A — run everything from repo root (multiple apps):
#   pnpm dev
# Option B — run only Dojo:
#   cd ag-ui/apps/dojo
#   AGENT_SPEC_URL=http://localhost:9003 pnpm dev (make sure to run pnpm build first)

Environment

• OpenAI-compatible variables commonly used by the examples (pick your provider):
  • OPENAI_BASE_URL (or provider-specific: OSS_API_URL, LLAMA_API_URL, etc.)
  • OPENAI_MODEL (the model slug, defaults to gpt-4o available through OpenAI API)
  • OPENAI_API_KEY
• Dojo server URL:
  • AGENT_SPEC_URL=http://localhost:9003 when running the local example server