learning-garden/sources/psb-gemma-2026-02-26-ollama-connect.md

---
pageType: source
id: source.psb-gemma-2026-02-26-ollama-connect
title: psb-gemma-2026-02-26-ollama-connect
sourceType: local-file
sourcePath: /home/topher/.openclaw/workspace-psb-gemma/memory/2026-02-26-ollama-connect.md
ingestedAt: 2026-05-03T01:09:22.668Z
updatedAt: 2026-05-03T01:09:22.668Z
status: active
growth: seed
---

# psb-gemma-2026-02-26-ollama-connect

## Source
- Type: `local-file`
- Path: `/home/topher/.openclaw/workspace-psb-gemma/memory/2026-02-26-ollama-connect.md`
- Bytes: 14370
- Updated: 2026-05-03T01:09:22.668Z

## Content
````text
# Session: 2026-02-26 12:57:30 UTC

- **Session Key**: agent:main:main
- **Session ID**: ea2427e1-1bf8-497e-9a30-e1aef9f5731c
- **Source**: gateway:sessions.reset

## Conversation Summary

user: Conversation info (untrusted metadata):
```json
{
  "message_id": "de8c0efd-91da-4202-913b-1604cf27136d",
  "sender": "gateway-client"
}
```

[Wed 2026-02-25 22:57 EST] Ollama is already running on 192.168.0.207 i want you to connect to it
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.

Assumptions
- Ollama server: 192.168.0.207
- Model: llama-3.2 (3.2B) loaded and exposed via Ollama API
- Ollama API endpoint: http://192.168.0.207:8080/v1/models/llama-3.2/complete (adjust port if your setup uses a different one)
- You want a simple local bridge to OpenClaw for code tasks, with Telegram as the output channel

What I’ll provide (ready-to-paste blocks)

1) Python client to call Ollama (ollama_client.py)
- File: /home/HHS/.openclaw/scripts/ollama_client.py
- Purpose: send a prompt to the local Ollama API and return a compact result
- Content (adjust URL as needed)

#!/usr/bin/env python3
import requests, sys, json

API_URL = "http://192.168.0.207:8080/v1/models/llama-3.2/complete"  # adjust if needed

def ask(prompt):
    payload = {"prompt": prompt, "max_tokens": 256, "temperature": 0.2}
    r = requests.post(API_URL, json=payload, timeout=20)
    return r.json()

if __name__ == "__main__":
    prompt = sys.argv[1] if len(sys.argv) > 1 else "Hello"
    print(json.dumps(ask(prompt), indent=2))

2) Bridge script to OpenClaw (ollama_bridge.sh)
- File: /home/HHS/.openclaw/scripts/ollama_bridge.sh
- Purpose: forward code-task prompts to the local Ollama path and return results
- Content

#!/bin/bash
set -euo pipefail
PROMPT="$1"
python3 /home/HHS/.openclaw/scripts/ollama_client.py "$PROMPT" 2>&1 | tee /home/HHS/.openclaw/logs/ollama_bridge.log

3) Minimal routing add (OpenClaw config patch snippet)
- File: add to openclaw.json (or paste here for easy patch)
{
  "channels": {
    "telegram": {
      "enabled": true,
      "dmPolicy": "pairing",
      "botToken": "__OPENCLAW_REDACTED__",
      "groupPolicy": "allowlist",
      "streamMode": "partial",
      "subagents": {
        "codeTasks": {
          "type": "external",
          "target": "ollama",
          "endpoint": "http://192.168.0.207:8080/v1/models/llama-3.2/complete"
        }
      },
      "targets": {
        "psb": "-1003528699943",
        "hackerspace": "telegram:8267783628"
      }
    }
  }
}

Notes:
- The exact JSON shape depends on your current OpenClaw schema; I’m giving a clear concept you can adapt.
- 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.

4) Quick test plan (no terminal required)
- Start the Ollama bridge locally on 192.168.0.207 (ensure the container/process is up)
- From OpenClaw, send a code-task prompt like: “Write a Python one-liner to print hello world” through the new route
- Verify the response is delivered to Hackerspace or Telegram as configured, in a concise 1–3 bullet style

5) Safety and security
- Run the local bridge in a sandboxed context; ensure no outbound network unless explicitly allowed
- Keep the local Ollama box isolated from public networks

What I need from you to finish the setup
- 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)
- Confirm the port and API path for the Ollama REST interface in your environment
- Confirm you want code-task prompts to go to Ollama while keeping standups/calendar via cloud OpenRouter as fallback (Plan A-style)

If you’d like, I can provide a fully paste-ready zip/tarball with:
- ollama_server script (if you’re using Docker)
- ollama_client.py
- ollama_bridge.sh
- a clean openclaw.json patch snippet
- a short test plan

Just say “zip it up” and I’ll assemble and share the bundle.
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "91825376-8f13-40f3-97fd-43dc2433cf80",
  "sender": "gateway-client"
}
```

[Wed 2026-02-25 23:01 EST] -I want all prompts to go to OpenRouter keeping standups/calendar OpenRouter add Ollama as fallback
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.

Proposed config (ready-to-paste)
- Primary: openrouter/auto
- Fallbacks: [ "ollama" ]  (replace with your actual Ollama integration slug if you’ve named it differently)

{
  "agents": {
    "defaults": {
      "model": {
        "primary": "openrouter/auto",
        "fallbacks": [
          "ollama"
        ]
      }
    }
  },
  "channels": {
    "telegram": {
      "enabled": true,
      "dmPolicy": "pairing",
      "botToken": "__OPENCLAW_REDACTED__",
      "groupPolicy": "allowlist",
      "streamMode": "partial",
      "targets": {
        "psb": "-1003528699943",
        "hackerspace": "-1003728588536"
      }
    }
  }
}

What this does
- Standups/announcements and calendar processing continue to route through OpenRouter Auto
- Code-task prompts are funneled to Ollama (fallback path) for local execution
- Telegram remains the sole output channel (per your preference)

What you’ll need to do to apply
- Replace the snippet into your openclaw.json (or merge with existing config)
- Ensure the Ollama fallback path is correctly wired:
  - Ollama host/endpoint (e.g., http://<host>:<port>/v1/models/llama-3.2/complete or the equivalent)
  - A bridge script that takes code-task prompts from OpenClaw and sends to Ollama
- 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

Recommended testing steps (no terminal needed)
- Confirm routing: send a standup-like prompt in the main chat; verify it lands in PSB
- Send a code-task prompt and verify the response arrives via the Ollama path (and then back to Telegram as configured)
- Validate that 3-bullet concise outputs are preserved and no internal reasoning is exposed

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.
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "d418de67-f1b8-4ace-943c-ce3a2413d8e0",
  "sender": "gateway-client"
}
```

[Wed 2026-02-25 23:04 EST] Sub agent=Media
assistant: Got it. You want a dedicated sub-agent named Media to handle media-related tasks.

Plan at a glance
- Create a media-specific sub-agent (e.g., a small path under the existing sub-agent plumbing) that:
  - Accepts media inputs (images, audio, video) from Telegram routes
  - Applies lightweight processing (thumbnails, metadata extraction, or simple transforms)
  - Returns concise results or forwards to the main pipeline as appropriate
- Keep OpenRouter/Claude as the primary path for non-media prompts
- Route media-related outputs or processing results back to Telegram (same channel)

What I need from you to proceed
- Confirm the exact routing rule:
  - Should media prompts go to the Media sub-agent only, or should there be a fallback to the main path if media processing fails?
- What media types should the Media sub-agent handle first (images, audio, video, documents, etc.)?
- Output format preferences for media results (e.g., a short summary, or a structured payload with mime-type, size, and a link/preview)?
- Naming/placement for the sub-agent (e.g., a slug like media, or an internal path you prefer)

Proposed next steps (if you confirm)
- Provide a minimal config snippet to wire a new sub-agent named “Media” into the routing table
- Provide a simple route bridge (bash/python) that passes media payloads to the Media sub-agent
- Add a small test plan: send a test image or audio, verify a concise reply is posted back to Telegram

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.
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "4f2b5001-8b96-4448-b58b-8c471e9ea9a6",
  "sender": "gateway-client"
}
```

[Wed 2026-02-25 23:04 EST] NO the name is "Media"
assistant: Understood. We'll create a Media sub-agent named "Media" and wire it into the routing, with a lean test plan.

What I’ll implement (Plan)
- Sub-agent name: Media
- Scope: handle media-related tasks (images, audio, video, docs as a later extension)
- Routing: media prompts go to Media; fallback to main model for non-media prompts
- Output: Telegram replies; concise results only (no internal reasoning)
- Stack: in-process sub-agent (Plan A) for quick start; can migrate to a separate service later if desired

Proposed config blocks (paste into your openclaw.json or merge with current)
1) Channel routing with new sub-agent
{
  "channels": {
    "telegram": {
      "enabled": true,
      "dmPolicy": "pairing",
      "botToken": "__OPENCLAW_REDACTED__",
      "groupPolicy": "allowlist",
      "streamMode": "partial",
      "subagents": {
        "media": {
          "type": "in-process",
          "model": "Media"
        }
      },
      "targets": {
        "psb": "-1003528699943",
        "hackerspace": "-1003728588536"
      }
    }
  }
}

2) Sub-agent wiring (conceptual)
- Primary path remains OpenRouter Auto for non-media prompts
- Media sub-agent named: Media
- Bridge script (optional): route_media.sh to forward media prompts to the Media sub-agent

3) Minimal test plan
- Test 1: Send a non-media prompt in main chat; ensure it still routes to PSB/Hackerspace as configured
- 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
- Test 3: Confirm that if the Media path fails, non-media prompts fall back to OpenRouter/Claude

4) Optional starter scripts (paste-ready)
- Simple bridge (bash) to forward media prompts to the in-process Media sub-agent
  - Path: /home/HHS/.openclaw/scripts/route_media.sh
  - Content:
    #!/bin/bash
    PROMPT="$1"
    # Placeholder: call Media sub-agent, replace with actual in-process call
    echo "Media task: ${PROMPT}"
- Minimal in-process media runner (bash placeholder)
  - Path: /home/HHS/.openclaw/scripts/media_runner.sh
  - Content:
    #!/bin/bash
    echo "{\"status\":\"ok\",\"note\":\"Media handled (placeholder)\"}"

5) Verification notes
- Ensure the bot is added to PSB and Hackerspace channels if you intend to post there
- Keep the “Media” sub-agent isolated and test with a mock media prompt first

Would you like me to:
- Generate exact paste-ready blocks for the full wiring (config patch + bridge scripts) tailored to your current file layout, or
- Provide a zip/tarball you can download and deploy later?
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "923",
  "sender": "8267783628"
}
```

Can you update the files for me
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:

- Created route_media.sh and media_runner.sh for a minimal in-process media path
- Updated the to-do to reflect the Media sub-agent addition
- Placed a placeholder config_patch_snippet for wiring in OpenClaw (ready to paste)
- Kept Telegram as the primary channel and routing plan (standups to PSB; code tasks to Hackerspace)

What’s next (quick options)
- 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
- I can also wrap these into a zip/tarball for you to download and deploy later
- 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

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?
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "926",
  "sender": "8267783628"
}
```

Switch back to. Open router auto
assistant: Switching back to OpenRouter Auto as the primary model. Claude remains as fallback.

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?
assistant: ☀️ Morning Standup — Thu Feb 26

Portsmouth, VA: 52°F, Wind 5 mph from SSW

📅 Next 5 Days:
• Thu Feb 26 — Susan works 4 PM | Trivia - Disney 7 PM
• Fri Feb 27 — Susan works 4 PM | 757 Laos Food Truck 5 PM | Elvis performing 6 PM
• Sat Feb 28 — Susan works 12 PM | Kitty works 5 PM
• Sun Mar 1 — Kitty works 12:45 PM | Susan works 4 PM
• Mon Mar 2 — Susan works 4 PM
user: [Thu 2026-02-26 07:00 EST] [System Message] [sessionId: d8c42f3e-b59d-46c2-b9ae-2d43df035a71] A cron job "Morning Standup" just completed successfully.

Result:
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.

Stats: runtime 50s • tokens 2.0k (in 7 / out 2.0k) • prompt/cache 15.7k

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.
user: Conversation info (untrusted metadata):
```json
{
  "message_id": "9651e493-b44a-4fdf-95e4-cf99a903d623",
  "sender": "gateway-client"
}
```

[Thu 2026-02-26 07:56 EST] lets review getting local ollama installed show me the steps gain

````

## Notes
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<!-- openclaw:human:end -->

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