AI Progress Update Methods | Generated by AI
Question: How does OpenClaw (an AI agent) display real-time progress updates while working on a big problem — does it just repeatedly send updated status messages?
Answer:
How AI Agents Stream Progress Updates
Yes, essentially — but there are a few different mechanisms depending on the implementation. Here’s how it works:
1. Server-Sent Events (SSE) — Most Common
The backend streams incremental updates to the frontend over a persistent HTTP connection.
Client → POST /run-agent
Server → keeps connection open, pushes text chunks:
"data: Checking DB schema...\n\n"
"data: Found 25 tables...\n\n"
"data: Spawning coding agent...\n\n"
The frontend listens and appends each chunk to the UI in real time. This is how Claude.ai itself works — the text “streams” in word by word.
2. WebSocket — Bidirectional
Similar to SSE but allows two-way communication. The agent sends status frames as it progresses:
{ "type": "status", "message": "Scanning 76 CI3 patterns..." }
{ "type": "status", "message": "Running sed replacement..." }
{ "type": "result", "message": "Done. 76 occurrences fixed." }
3. Polling — Simpler but Less Elegant
The frontend repeatedly asks “are you done yet?” every second or two:
Client → GET /task/status?id=123 → { "status": "running", "log": "..." }
Client → GET /task/status?id=123 → { "status": "running", "log": "..." }
Client → GET /task/status?id=123 → { "status": "done", "result": "..." }
4. How the “Log Lines” Are Generated
The agent itself just calls a log/emit function at key checkpoints in its code:
emit("Checking DB schema...")
result = check_db()
emit(f"Found {len(tables)} tables")
run_migration()
emit("Spawning coding sub-agent...")
sub_agent.run()
Each emit() call pushes a message through SSE/WebSocket to the UI. The UI appends it to the visible log.
5. What You See in the Document You Shared
The transcript you pasted is exactly this pattern — an agent narrating its own steps as it goes:
- “Let me check the DB schema…” → runs query → emits result
- “Another CI3→CI4 issue found…” → emits finding
- “This is a bulk-fix task. Let me spawn a coding agent…” → emits spawn event
These are checkpoint log messages, streamed out progressively so the user knows the agent is alive and making progress, not just silently hanging.
Summary
| Mechanism | How it works | Best for |
|---|---|---|
| SSE | One-way HTTP stream | Simple log streaming |
| WebSocket | Persistent two-way socket | Interactive agents |
| Polling | Repeated HTTP requests | Simple/legacy systems |
The agent itself just calls emit(message) at each step — the transport layer (SSE/WebSocket) handles getting it to your screen in real time.