Session ID: ses_3e21fade1ffecORaoKJwTugpH9 Created: 2/2/2026, 10:22:46 AM Updated: 2/2/2026, 11:41:15 AM
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| """Realtime ASR latency harness — Socket.IO `audio_stream` path. | |
| Shared so both sides can measure the same thing the same way. Run it against your own audio | |
| and send back the JSON from --out; we'll compare directly against our numbers. | |
| WHAT IT MEASURES | |
| A call is a series of short turns, not one long stream, so this benchmarks per turn: one | |
| transcription session per utterance over a single persistent WebSocket, audio paced at 1x | |
| realtime (as it would arrive from a live caller). |
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| #!/usr/bin/env bash | |
| # | |
| # ready-check.sh — verify the Part 2 "readiness gate" | |
| # Companion to "Coding Agents over Telegram, Part 2: From Zero to an Agent That Answers". | |
| # | |
| # Confirms your config is locked down, the gateway is up, the pane exists, and routing is wired. | |
| # It cannot prove the agent *replied* in Telegram (that's the one manual check) — do that too. | |
| # | |
| # Usage: | |
| # AGENT_ID=my-agent PANE=mybox:1.1 ./ready-check.sh |
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| #!/usr/bin/env bash | |
| # | |
| # setup-openclaw.sh — minimal OpenClaw gateway bring-up | |
| # Companion to "Coding Agents over Telegram, Part 2: From Zero to an Agent That Answers". | |
| # | |
| # What it does: pins the runtime, fetches + builds OpenClaw, writes a minimal config | |
| # (only if you pass a bot token), and launches the gateway. It does NOT configure your | |
| # Telegram group/topic or your agent — do those from the post. | |
| # | |
| # Usage: |
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| #!/bin/bash | |
| dbus-send --system --print-reply --dest=org.freedesktop.login1 /org/freedesktop/login1 "org.freedesktop.login1.Manager.Suspend" boolean:true |
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| a = 25 |
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| from pandas import DataFrame | |
| # import the required library to open HDF file | |
| from pandas import HDFStore | |
| # File that stores the dataframe | |
| filename = 'data.h5' | |
| # Creating a dataframe | |
| df = DataFrame(np.random.randn(5,3), columns=['A', 'B', 'C',]) | |
| class OpenHDFS(): |
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| # Using our context manager | |
| with OpenHDFS(filename) as store: | |
| store.put('d1', df) |
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