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
The agent itself just calls emit(message) at each step — the transport layer (SSE/WebSocket) handles getting it to your screen in real time.