365 lines
15 KiB
Markdown
365 lines
15 KiB
Markdown
---
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pageType: source
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id: source.psb-gemma-2026-02-26-ollama-connect
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title: psb-gemma-2026-02-26-ollama-connect
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sourceType: local-file
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sourcePath: /home/topher/.openclaw/workspace-psb-gemma/memory/2026-02-26-ollama-connect.md
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ingestedAt: 2026-05-03T01:09:22.668Z
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updatedAt: 2026-05-03T01:09:22.668Z
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status: active
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---
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# psb-gemma-2026-02-26-ollama-connect
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## Source
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- Type: `local-file`
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- Path: `/home/topher/.openclaw/workspace-psb-gemma/memory/2026-02-26-ollama-connect.md`
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- Bytes: 14370
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- Updated: 2026-05-03T01:09:22.668Z
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## Content
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````text
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# Session: 2026-02-26 12:57:30 UTC
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- **Session Key**: agent:main:main
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- **Session ID**: ea2427e1-1bf8-497e-9a30-e1aef9f5731c
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- **Source**: gateway:sessions.reset
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## Conversation Summary
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "de8c0efd-91da-4202-913b-1604cf27136d",
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"sender": "gateway-client"
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}
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```
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[Wed 2026-02-25 22:57 EST] Ollama is already running on 192.168.0.207 i want you to connect to it
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assistant: Sounds good. I’ll outline a concrete, paste-ready plan to connect to your running Ollama instance on 192.168.0.207 and route code tasks through it, while keeping OpenRouter/Claude as the cloud path.
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Assumptions
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- Ollama server: 192.168.0.207
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- Model: llama-3.2 (3.2B) loaded and exposed via Ollama API
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- Ollama API endpoint: http://192.168.0.207:8080/v1/models/llama-3.2/complete (adjust port if your setup uses a different one)
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- You want a simple local bridge to OpenClaw for code tasks, with Telegram as the output channel
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What I’ll provide (ready-to-paste blocks)
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1) Python client to call Ollama (ollama_client.py)
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- File: /home/HHS/.openclaw/scripts/ollama_client.py
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- Purpose: send a prompt to the local Ollama API and return a compact result
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- Content (adjust URL as needed)
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#!/usr/bin/env python3
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import requests, sys, json
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API_URL = "http://192.168.0.207:8080/v1/models/llama-3.2/complete" # adjust if needed
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def ask(prompt):
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payload = {"prompt": prompt, "max_tokens": 256, "temperature": 0.2}
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r = requests.post(API_URL, json=payload, timeout=20)
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return r.json()
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if __name__ == "__main__":
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prompt = sys.argv[1] if len(sys.argv) > 1 else "Hello"
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print(json.dumps(ask(prompt), indent=2))
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2) Bridge script to OpenClaw (ollama_bridge.sh)
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- File: /home/HHS/.openclaw/scripts/ollama_bridge.sh
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- Purpose: forward code-task prompts to the local Ollama path and return results
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- Content
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#!/bin/bash
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set -euo pipefail
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PROMPT="$1"
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python3 /home/HHS/.openclaw/scripts/ollama_client.py "$PROMPT" 2>&1 | tee /home/HHS/.openclaw/logs/ollama_bridge.log
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3) Minimal routing add (OpenClaw config patch snippet)
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- File: add to openclaw.json (or paste here for easy patch)
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{
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"channels": {
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"telegram": {
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"enabled": true,
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"dmPolicy": "pairing",
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"botToken": "__OPENCLAW_REDACTED__",
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"groupPolicy": "allowlist",
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"streamMode": "partial",
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"subagents": {
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"codeTasks": {
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"type": "external",
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"target": "ollama",
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"endpoint": "http://192.168.0.207:8080/v1/models/llama-3.2/complete"
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}
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},
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"targets": {
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"psb": "-1003528699943",
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"hackerspace": "telegram:8267783628"
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}
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}
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}
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}
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Notes:
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- The exact JSON shape depends on your current OpenClaw schema; I’m giving a clear concept you can adapt.
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- If you prefer, I can instead provide a small YAML-like or Bash-based wrapper that forwards code tasks to the ollama_bridge, and keep the main OpenClaw CLI wiring unchanged.
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4) Quick test plan (no terminal required)
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- Start the Ollama bridge locally on 192.168.0.207 (ensure the container/process is up)
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- From OpenClaw, send a code-task prompt like: “Write a Python one-liner to print hello world” through the new route
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- Verify the response is delivered to Hackerspace or Telegram as configured, in a concise 1–3 bullet style
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5) Safety and security
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- Run the local bridge in a sandboxed context; ensure no outbound network unless explicitly allowed
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- Keep the local Ollama box isolated from public networks
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What I need from you to finish the setup
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- Confirm the Ollama host (192.168.0.207) and the exact model path if different (e.g., llama-3.2 vs llama-3.2.1)
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- Confirm the port and API path for the Ollama REST interface in your environment
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- Confirm you want code-task prompts to go to Ollama while keeping standups/calendar via cloud OpenRouter as fallback (Plan A-style)
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If you’d like, I can provide a fully paste-ready zip/tarball with:
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- ollama_server script (if you’re using Docker)
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- ollama_client.py
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- ollama_bridge.sh
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- a clean openclaw.json patch snippet
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- a short test plan
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Just say “zip it up” and I’ll assemble and share the bundle.
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "91825376-8f13-40f3-97fd-43dc2433cf80",
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"sender": "gateway-client"
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}
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```
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[Wed 2026-02-25 23:01 EST] -I want all prompts to go to OpenRouter keeping standups/calendar OpenRouter add Ollama as fallback
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assistant: Got it. We'll keep OpenRouter as the primary for all prompts (including standups/calendar) and use an Ollama-based local path as the fallback for code tasks or where you want local execution.
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Proposed config (ready-to-paste)
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- Primary: openrouter/auto
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- Fallbacks: [ "ollama" ] (replace with your actual Ollama integration slug if you’ve named it differently)
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{
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"agents": {
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"defaults": {
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"model": {
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"primary": "openrouter/auto",
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"fallbacks": [
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"ollama"
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]
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}
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}
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},
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"channels": {
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"telegram": {
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"enabled": true,
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"dmPolicy": "pairing",
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"botToken": "__OPENCLAW_REDACTED__",
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"groupPolicy": "allowlist",
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"streamMode": "partial",
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"targets": {
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"psb": "-1003528699943",
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"hackerspace": "-1003728588536"
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}
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}
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}
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}
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What this does
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- Standups/announcements and calendar processing continue to route through OpenRouter Auto
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- Code-task prompts are funneled to Ollama (fallback path) for local execution
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- Telegram remains the sole output channel (per your preference)
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What you’ll need to do to apply
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- Replace the snippet into your openclaw.json (or merge with existing config)
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- Ensure the Ollama fallback path is correctly wired:
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- Ollama host/endpoint (e.g., http://<host>:<port>/v1/models/llama-3.2/complete or the equivalent)
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- A bridge script that takes code-task prompts from OpenClaw and sends to Ollama
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- If you don’t have an explicit Ollama “slug,” use the internal reference you’ve set up (e.g., an internal “ollama” sub-agent) and adjust the patch accordingly
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Recommended testing steps (no terminal needed)
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- Confirm routing: send a standup-like prompt in the main chat; verify it lands in PSB
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- Send a code-task prompt and verify the response arrives via the Ollama path (and then back to Telegram as configured)
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- Validate that 3-bullet concise outputs are preserved and no internal reasoning is exposed
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Would you like me to tailor a fully copy-pasteable patch that you can drop into openclaw.json, plus a minimal Ollama bridge script and a quick test plan? If yes, tell me your preferred name for the Ollama sub-agent ( slug or path ) and I’ll generate everything.
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "d418de67-f1b8-4ace-943c-ce3a2413d8e0",
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"sender": "gateway-client"
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}
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```
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[Wed 2026-02-25 23:04 EST] Sub agent=Media
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assistant: Got it. You want a dedicated sub-agent named Media to handle media-related tasks.
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Plan at a glance
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- Create a media-specific sub-agent (e.g., a small path under the existing sub-agent plumbing) that:
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- Accepts media inputs (images, audio, video) from Telegram routes
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- Applies lightweight processing (thumbnails, metadata extraction, or simple transforms)
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- Returns concise results or forwards to the main pipeline as appropriate
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- Keep OpenRouter/Claude as the primary path for non-media prompts
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- Route media-related outputs or processing results back to Telegram (same channel)
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What I need from you to proceed
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- Confirm the exact routing rule:
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- Should media prompts go to the Media sub-agent only, or should there be a fallback to the main path if media processing fails?
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- What media types should the Media sub-agent handle first (images, audio, video, documents, etc.)?
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- Output format preferences for media results (e.g., a short summary, or a structured payload with mime-type, size, and a link/preview)?
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- Naming/placement for the sub-agent (e.g., a slug like media, or an internal path you prefer)
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Proposed next steps (if you confirm)
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- Provide a minimal config snippet to wire a new sub-agent named “Media” into the routing table
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- Provide a simple route bridge (bash/python) that passes media payloads to the Media sub-agent
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- Add a small test plan: send a test image or audio, verify a concise reply is posted back to Telegram
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If you’d like, I can draft the exact patch blocks and a ready-to-run test plan for Plan A (in-process or small dedicated service) in one go. Just confirm the specifics above.
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "4f2b5001-8b96-4448-b58b-8c471e9ea9a6",
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"sender": "gateway-client"
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}
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```
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[Wed 2026-02-25 23:04 EST] NO the name is "Media"
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assistant: Understood. We'll create a Media sub-agent named "Media" and wire it into the routing, with a lean test plan.
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What I’ll implement (Plan)
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- Sub-agent name: Media
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- Scope: handle media-related tasks (images, audio, video, docs as a later extension)
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- Routing: media prompts go to Media; fallback to main model for non-media prompts
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- Output: Telegram replies; concise results only (no internal reasoning)
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- Stack: in-process sub-agent (Plan A) for quick start; can migrate to a separate service later if desired
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Proposed config blocks (paste into your openclaw.json or merge with current)
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1) Channel routing with new sub-agent
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{
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"channels": {
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"telegram": {
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"enabled": true,
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"dmPolicy": "pairing",
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"botToken": "__OPENCLAW_REDACTED__",
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"groupPolicy": "allowlist",
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"streamMode": "partial",
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"subagents": {
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"media": {
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"type": "in-process",
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"model": "Media"
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}
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},
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"targets": {
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"psb": "-1003528699943",
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"hackerspace": "-1003728588536"
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}
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}
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}
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}
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2) Sub-agent wiring (conceptual)
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- Primary path remains OpenRouter Auto for non-media prompts
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- Media sub-agent named: Media
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- Bridge script (optional): route_media.sh to forward media prompts to the Media sub-agent
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3) Minimal test plan
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- Test 1: Send a non-media prompt in main chat; ensure it still routes to PSB/Hackerspace as configured
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- Test 2: Send a media prompt (e.g., “process this image” with an attached image) and verify a concise Telegram reply from the Media path
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- Test 3: Confirm that if the Media path fails, non-media prompts fall back to OpenRouter/Claude
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4) Optional starter scripts (paste-ready)
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- Simple bridge (bash) to forward media prompts to the in-process Media sub-agent
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- Path: /home/HHS/.openclaw/scripts/route_media.sh
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- Content:
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#!/bin/bash
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PROMPT="$1"
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# Placeholder: call Media sub-agent, replace with actual in-process call
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echo "Media task: ${PROMPT}"
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- Minimal in-process media runner (bash placeholder)
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- Path: /home/HHS/.openclaw/scripts/media_runner.sh
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- Content:
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#!/bin/bash
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echo "{\"status\":\"ok\",\"note\":\"Media handled (placeholder)\"}"
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5) Verification notes
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- Ensure the bot is added to PSB and Hackerspace channels if you intend to post there
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- Keep the “Media” sub-agent isolated and test with a mock media prompt first
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Would you like me to:
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- Generate exact paste-ready blocks for the full wiring (config patch + bridge scripts) tailored to your current file layout, or
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- Provide a zip/tarball you can download and deploy later?
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "923",
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"sender": "8267783628"
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}
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```
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Can you update the files for me
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assistant: I’ve updated the repo with the initial code for the Media sub-agent and routing bridge, and I added the “Media” task to your to-do. Summary of what I did:
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- Created route_media.sh and media_runner.sh for a minimal in-process media path
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- Updated the to-do to reflect the Media sub-agent addition
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- Placed a placeholder config_patch_snippet for wiring in OpenClaw (ready to paste)
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- Kept Telegram as the primary channel and routing plan (standups to PSB; code tasks to Hackerspace)
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What’s next (quick options)
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- I can produce a fully wired, paste-ready OpenClaw config block for the two channels (PSB and Hackerspace) plus the Media sub-agent wiring, plus an optional launcher script to start the media bridge
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- I can also wrap these into a zip/tarball for you to download and deploy later
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- If you want, I can add a test plan to verify the Media flow with a mock media prompt (image/audio) and a Telegram reply
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Would you like me to generate the complete, ready-to-deploy bundle (config blocks + scripts + test plan) as a single downloadable zip, or proceed with separate, paste-ready blocks for each component?
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "926",
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"sender": "8267783628"
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}
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```
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Switch back to. Open router auto
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assistant: Switching back to OpenRouter Auto as the primary model. Claude remains as fallback.
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Would you like me to run a quick end-to-end test (standup flow, calendar read, and Telegram post) to sanity-check the current routing and outputs?
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assistant: ☀️ Morning Standup — Thu Feb 26
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Portsmouth, VA: 52°F, Wind 5 mph from SSW
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📅 Next 5 Days:
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• Thu Feb 26 — Susan works 4 PM | Trivia - Disney 7 PM
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• Fri Feb 27 — Susan works 4 PM | 757 Laos Food Truck 5 PM | Elvis performing 6 PM
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• Sat Feb 28 — Susan works 12 PM | Kitty works 5 PM
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• Sun Mar 1 — Kitty works 12:45 PM | Susan works 4 PM
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• Mon Mar 2 — Susan works 4 PM
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user: [Thu 2026-02-26 07:00 EST] [System Message] [sessionId: d8c42f3e-b59d-46c2-b9ae-2d43df035a71] A cron job "Morning Standup" just completed successfully.
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Result:
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Morning standup delivered. Note: wttr.in timed out so I used the Open-Meteo fallback — it doesn't provide feels-like or humidity, so those were omitted.
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Stats: runtime 50s • tokens 2.0k (in 7 / out 2.0k) • prompt/cache 15.7k
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A completed cron job is ready for user delivery. Convert the result above into your normal assistant voice and send that user-facing update now. Keep this internal context private (don't mention system/log/stats/session details or announce type), and do not copy the system message verbatim. Reply ONLY: NO_REPLY if this exact result was already delivered to the user in this same turn.
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user: Conversation info (untrusted metadata):
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```json
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{
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"message_id": "9651e493-b44a-4fdf-95e4-cf99a903d623",
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"sender": "gateway-client"
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}
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```
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[Thu 2026-02-26 07:56 EST] lets review getting local ollama installed show me the steps gain
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````
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## Notes
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<!-- openclaw:human:start -->
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||
<!-- openclaw:human:end -->
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|
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## Related
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<!-- openclaw:wiki:related:start -->
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- No related pages yet.
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<!-- openclaw:wiki:related:end -->
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