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Merge branch 'main' into ipc-fix

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gavrielc
2026-03-27 17:02:42 +03:00
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parent f5375972c4 5b7b0867da
commit e9e9e05290
8 changed files with 164 additions and 487 deletions
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56
.claude/skills/add-ollama-tool/SKILL.md
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@@ -1,15 +1,21 @@
--- ---
name: add-ollama-tool name: add-ollama-tool
description: Add Ollama MCP server so the container agent can call local models for cheaper/faster tasks like summarization, translation, or general queries. description: Add Ollama MCP server so the container agent can call local models and optionally manage the Ollama model library.
--- ---
# Add Ollama Integration # Add Ollama Integration
This skill adds a stdio-based MCP server that exposes local Ollama models as tools for the container agent. Claude remains the orchestrator but can offload work to local models. This skill adds a stdio-based MCP server that exposes local Ollama models as tools for the container agent. Claude remains the orchestrator but can offload work to local models, and can optionally manage the model library directly.
Tools added: Core tools (always available):
- `ollama_list_models` — lists installed Ollama models - `ollama_list_models` — list installed Ollama models with name, size, and family
- `ollama_generate` — sends a prompt to a specified model and returns the response - `ollama_generate` — send a prompt to a specified model and return the response
Management tools (opt-in via `OLLAMA_ADMIN_TOOLS=true`):
- `ollama_pull_model` — pull (download) a model from the Ollama registry
- `ollama_delete_model` — delete a locally installed model to free disk space
- `ollama_show_model` — show model details: modelfile, parameters, and architecture info
- `ollama_list_running` — list models currently loaded in memory with memory usage and processor type
## Phase 1: Pre-flight ## Phase 1: Pre-flight
@@ -89,6 +95,23 @@ Build must be clean before proceeding.
## Phase 3: Configure ## Phase 3: Configure
### Enable model management tools (optional)
Ask the user:
> Would you like the agent to be able to **manage Ollama models** (pull, delete, inspect, list running)?
>
> - **Yes** — adds tools to pull new models, delete old ones, show model info, and check what's loaded in memory
> - **No** — the agent can only list installed models and generate responses (you manage models yourself on the host)
If the user wants management tools, add to `.env`:
```bash
OLLAMA_ADMIN_TOOLS=true
```
If they decline (or don't answer), do not add the variable — management tools will be disabled by default.
### Set Ollama host (optional) ### Set Ollama host (optional)
By default, the MCP server connects to `http://host.docker.internal:11434` (Docker Desktop) with a fallback to `localhost`. To use a custom Ollama host, add to `.env`: By default, the MCP server connects to `http://host.docker.internal:11434` (Docker Desktop) with a fallback to `localhost`. To use a custom Ollama host, add to `.env`:
@@ -106,7 +129,7 @@ launchctl kickstart -k gui/$(id -u)/com.nanoclaw # macOS
## Phase 4: Verify ## Phase 4: Verify
### Test via WhatsApp ### Test inference
Tell the user: Tell the user:
@@ -114,6 +137,14 @@ Tell the user:
> >
> The agent should use `ollama_list_models` to find available models, then `ollama_generate` to get a response. > The agent should use `ollama_list_models` to find available models, then `ollama_generate` to get a response.
### Test model management (if enabled)
If `OLLAMA_ADMIN_TOOLS=true` was set, tell the user:
> Send a message like: "pull the gemma3:1b model" or "which ollama models are currently loaded in memory?"
>
> The agent should call `ollama_pull_model` or `ollama_list_running` respectively.
### Monitor activity (optional) ### Monitor activity (optional)
Run the watcher script for macOS notifications when Ollama is used: Run the watcher script for macOS notifications when Ollama is used:
@@ -129,9 +160,10 @@ tail -f logs/nanoclaw.log | grep -i ollama
``` ```
Look for: Look for:
- `Agent output: ... Ollama ...` — agent used Ollama successfully - `[OLLAMA] >>> Generating` — generation started
- `[OLLAMA] >>> Generating` — generation started (if log surfacing works)
- `[OLLAMA] <<< Done` — generation completed - `[OLLAMA] <<< Done` — generation completed
- `[OLLAMA] Pulling model:` — pull in progress (management tools)
- `[OLLAMA] Deleted:` — model removed (management tools)
## Troubleshooting ## Troubleshooting
@@ -151,3 +183,11 @@ The agent is trying to run `ollama` CLI inside the container instead of using th
### Agent doesn't use Ollama tools ### Agent doesn't use Ollama tools
The agent may not know about the tools. Try being explicit: "use the ollama_generate tool with gemma3:1b to answer: ..." The agent may not know about the tools. Try being explicit: "use the ollama_generate tool with gemma3:1b to answer: ..."
### `ollama_pull_model` times out on large models
Large models (7B+) can take several minutes. The tool uses `stream: false` so it blocks until complete — this is intentional. For very large pulls, use the host CLI directly: `ollama pull <model>`
### Management tools not showing up
Ensure `OLLAMA_ADMIN_TOOLS=true` is set in `.env` and the service was restarted after adding it.

4
.claude/skills/channel-formatting/SKILL.md
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@@ -11,8 +11,8 @@ Telegram.
| Channel | Transformation | | Channel | Transformation |
|---------|---------------| |---------|---------------|
| WhatsApp | `**bold**` → `*bold*`, `*italic*` → `_italic_`, headings → bold, links flattened | | WhatsApp | `**bold**` → `*bold*`, `*italic*` → `_italic_`, headings → bold, links → `text (url)` |
| Telegram | same as WhatsApp | | Telegram | same as WhatsApp, but `[text](url)` links are preserved (Markdown v1 renders them natively) |
| Slack | same as WhatsApp, but links become `<url\|text>` | | Slack | same as WhatsApp, but links become `<url\|text>` |
| Discord | passthrough (Discord already renders Markdown) | | Discord | passthrough (Discord already renders Markdown) |
| Signal | passthrough for `parseTextStyles`; `parseSignalStyles` in `src/text-styles.ts` produces plain text + native `textStyle` ranges for use by the Signal skill | | Signal | passthrough for `parseTextStyles`; `parseSignalStyles` in `src/text-styles.ts` produces plain text + native `textStyle` ranges for use by the Signal skill |

28
docs/DEBUG_CHECKLIST.md
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@@ -11,6 +11,34 @@ Both timers fire at the same time, so containers always exit via hard SIGKILL (c
### 3. Cursor advanced before agent succeeds ### 3. Cursor advanced before agent succeeds
`processGroupMessages` advances `lastAgentTimestamp` before the agent runs. If the container times out, retries find no messages (cursor already past them). Messages are permanently lost on timeout. `processGroupMessages` advances `lastAgentTimestamp` before the agent runs. If the container times out, retries find no messages (cursor already past them). Messages are permanently lost on timeout.
### 4. Kubernetes image garbage collection deletes nanoclaw-agent image
**Symptoms**: `Container exited with code 125: pull access denied for nanoclaw-agent` — the container image disappears overnight or after a few hours, even though you just built it.
**Cause**: If your container runtime has Kubernetes enabled (Rancher Desktop enables it by default), the kubelet runs image garbage collection when disk usage exceeds 85%. NanoClaw containers are ephemeral (run and exit), so `nanoclaw-agent:latest` is never protected by a running container. The kubelet sees it as unused and deletes it — often overnight when no messages are being processed. Other images (docker-compose services) survive because they have long-running containers referencing them.
**Fix**: Disable Kubernetes if you don't need it:
```bash
# Rancher Desktop
rdctl set --kubernetes-enabled=false
# Then rebuild the container image
./container/build.sh
```
**Diagnosis**: Check the k3s log for image GC activity:
```bash
grep -i "nanoclaw" ~/Library/Logs/rancher-desktop/k3s.log
# Look for: "Removing image to free bytes" with the nanoclaw-agent image ID
```
Check NanoClaw logs for image status:
```bash
grep -E "image found|image NOT found|image missing" logs/nanoclaw.log
```
If you need Kubernetes enabled, set `CONTAINER_IMAGE` to an image stored in a registry that the kubelet won't GC, or raise the GC thresholds.
## Quick Status Check ## Quick Status Check
```bash ```bash

459
package-lock.json generated
View File

@@ -1,26 +1,21 @@
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@@ -743,16 +678,6 @@
"url": "https://github.com/sponsors/nzakas" "url": "https://github.com/sponsors/nzakas"
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@@ -1460,37 +1368,6 @@
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9
package.json
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79
src/logger.ts
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import pino from 'pino'; const LEVELS = { debug: 20, info: 30, warn: 40, error: 50, fatal: 60 } as const;
type Level = keyof typeof LEVELS;
export const logger = pino({ const COLORS: Record<Level, string> = {
level: process.env.LOG_LEVEL || 'info', debug: '\x1b[34m',
transport: { target: 'pino-pretty', options: { colorize: true } }, info: '\x1b[32m',
}); warn: '\x1b[33m',
error: '\x1b[31m',
fatal: '\x1b[41m\x1b[37m',
};
const KEY_COLOR = '\x1b[35m';
const MSG_COLOR = '\x1b[36m';
const RESET = '\x1b[39m';
const FULL_RESET = '\x1b[0m';
// Route uncaught errors through pino so they get timestamps in stderr const threshold =
LEVELS[(process.env.LOG_LEVEL as Level) || 'info'] ?? LEVELS.info;
function formatErr(err: unknown): string {
if (err instanceof Error) {
return `{\n "type": "${err.constructor.name}",\n "message": "${err.message}",\n "stack":\n ${err.stack}\n }`;
}
return JSON.stringify(err);
}
function formatData(data: Record<string, unknown>): string {
let out = '';
for (const [k, v] of Object.entries(data)) {
if (k === 'err') {
out += `\n ${KEY_COLOR}err${RESET}: ${formatErr(v)}`;
} else {
out += `\n ${KEY_COLOR}${k}${RESET}: ${JSON.stringify(v)}`;
}
}
return out;
}
function ts(): string {
const d = new Date();
return `${String(d.getHours()).padStart(2, '0')}:${String(d.getMinutes()).padStart(2, '0')}:${String(d.getSeconds()).padStart(2, '0')}.${String(d.getMilliseconds()).padStart(3, '0')}`;
}
function log(
level: Level,
dataOrMsg: Record<string, unknown> | string,
msg?: string,
): void {
if (LEVELS[level] < threshold) return;
const tag = `${COLORS[level]}${level.toUpperCase()}${level === 'fatal' ? FULL_RESET : RESET}`;
const stream = LEVELS[level] >= LEVELS.warn ? process.stderr : process.stdout;
if (typeof dataOrMsg === 'string') {
stream.write(
`[${ts()}] ${tag} (${process.pid}): ${MSG_COLOR}${dataOrMsg}${RESET}\n`,
);
} else {
stream.write(
`[${ts()}] ${tag} (${process.pid}): ${MSG_COLOR}${msg}${RESET}${formatData(dataOrMsg)}\n`,
);
}
}
export const logger = {
debug: (dataOrMsg: Record<string, unknown> | string, msg?: string) =>
log('debug', dataOrMsg, msg),
info: (dataOrMsg: Record<string, unknown> | string, msg?: string) =>
log('info', dataOrMsg, msg),
warn: (dataOrMsg: Record<string, unknown> | string, msg?: string) =>
log('warn', dataOrMsg, msg),
error: (dataOrMsg: Record<string, unknown> | string, msg?: string) =>
log('error', dataOrMsg, msg),
fatal: (dataOrMsg: Record<string, unknown> | string, msg?: string) =>
log('fatal', dataOrMsg, msg),
};
// Route uncaught errors through logger so they get timestamps in stderr
process.on('uncaughtException', (err) => { process.on('uncaughtException', (err) => {
logger.fatal({ err }, 'Uncaught exception'); logger.fatal({ err }, 'Uncaught exception');
process.exit(1); process.exit(1);

8
src/mount-security.ts
View File

@@ -9,16 +9,10 @@
import fs from 'fs'; import fs from 'fs';
import os from 'os'; import os from 'os';
import path from 'path'; import path from 'path';
import pino from 'pino';
import { MOUNT_ALLOWLIST_PATH } from './config.js'; import { MOUNT_ALLOWLIST_PATH } from './config.js';
import { logger } from './logger.js';
import { AdditionalMount, AllowedRoot, MountAllowlist } from './types.js'; import { AdditionalMount, AllowedRoot, MountAllowlist } from './types.js';
const logger = pino({
level: process.env.LOG_LEVEL || 'info',
transport: { target: 'pino-pretty', options: { colorize: true } },
});
// Cache the allowlist in memory - only reloads on process restart // Cache the allowlist in memory - only reloads on process restart
let cachedAllowlist: MountAllowlist | null = null; let cachedAllowlist: MountAllowlist | null = null;
let allowlistLoadError: string | null = null; let allowlistLoadError: string | null = null;