Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ag2ai/ag2-skills --skill ag2-ag-uigit clone --depth 1 https://github.com/ag2ai/ag2-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-ag-ui)<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-ag-ui"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-ag-ui/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-ag-ui"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-ag-ui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00114 | $0.01814 |
| Opus 5.5 | $0.00046 | $0.00726 |
| Sonnet 5.5 | $0.00023 | $0.00363 |
| Haiku 4.5 | $0.00011 | $0.00181 |
Grade A, and why
ag2-ag-ui scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -N -X POST http://127.0.0.1:8000/chat \ How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AG-UI integration
When to use
- The user is building a web UI (React / Next.js / anything HTTP+SSE) that should talk to an AG2 agent.
- They want streaming text, reasoning, tool-call rendering, shared state sync, or sub-task step tracking surfaced to the frontend with a standard protocol — not a custom REST/WebSocket contract.
- They're using or considering CopilotKit (the recommended React client).
For a custom narrow-purpose API where you own the contract end-to-end, skip AG-UI and write a plain endpoint instead.
Supported AG-UI features
| Feature | Status |
|---|---|
Run lifecycle (RUN_STARTED / RUN_FINISHED / RUN_ERROR) |
✓ |
Streaming text events (TEXT_MESSAGE_START / _CONTENT / _END / _CHUNK) |
✓ |
Reasoning events (REASONING_START / _END, REASONING_MESSAGE_START / _CONTENT / _END) |
✓ |
Backend tool lifecycle (TOOL_CALL_START / _ARGS / _RESULT / _END) |
✓ |
Frontend-tool dispatch (TOOL_CALL_CHUNK for client tools in RunAgentInput.tools) |
✓ |
Shared-state snapshots (STATE_SNAPSHOT) |
✓ |
Sub-task steps (STEP_STARTED / STEP_FINISHED, emitted on TaskStarted / TaskCompleted) |
✓ |
| Human input checkpoints surfaced as AG-UI events | ✗ — no human-input event family; hitl_hook passes through to agent.ask |
Installation
pip install "ag2[ag-ui]"
Required. Run this install before delivering the code. If you cannot run commands, state the exact
pip installcommand.
60-second recipe — FastAPI server
from fastapi import FastAPI, Header
from fastapi.responses import StreamingResponse
from ag2 import Agent
from ag2.ag_ui import AGUIStream, RunAgentInput
from ag2.config import OpenAIConfig
agent = Agent(
name="support_bot",
prompt="You help users with billing questions.",
config=OpenAIConfig(model="gpt-4o-mini"),
)
stream = AGUIStream(agent)
app = FastAPI()
@app.post("/chat")
async def run_agent(message: RunAgentInput, accept: str | None = Header(None)) -> StreamingResponse:
return StreamingResponse(
stream.dispatch(message, accept=accept),
media_type=accept or "text/event-stream",
)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 177 lines · 114 tokens per session scan A 9a947ae2269c
ag2-ag-ui is a skill published in the GitHub repository ag2ai/ag2-skills (12 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 114 tokens to every session and 1,814 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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