Ollama support, use openclaw public docker, and more.

Dockerfile.botenv

@@ -2,7 +2,7 @@
 # Build: docker compose build botenv
 # Usage: Automatically used by botmaker when spawning bot containers
 
-ARG BASE_IMAGE=openclaw:latest
+ARG BASE_IMAGE=ghcr.io/openclaw/openclaw:latest
 FROM ${BASE_IMAGE}
 
 # Switch to root for package installation
@@ -29,5 +29,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     iproute2 netcat-openbsd dnsutils \
  && rm -rf /var/lib/apt/lists/*
 
+# Make openclaw CLI available on PATH
+RUN ln -s /app/openclaw.mjs /usr/local/bin/openclaw
+
 # Switch back to non-root user
 USER node

README.md

@@ -19,7 +19,7 @@ Traditional setups pass API keys directly to bots—if a bot is compromised, you
 
 ### Additional Features
 
-- **Multi-AI Provider Support** - OpenAI, Anthropic, Google Gemini, Venice
+- **Multi-AI Provider Support** - OpenAI, Anthropic, Google Gemini, Venice, Ollama (local LLMs)
 - **Multi-Channel Wizard** - Telegram, Discord (all others supported by chatting with your bot post-setup)
 - **Container Isolation** - Each bot runs in its own Docker container
 - **Dashboard** - Creation wizard, monitoring, diagnostics
@@ -60,12 +60,9 @@ Traditional setups pass API keys directly to bots—if a bot is compromised, you
 
 - Docker and Docker Compose
 - Node.js 20+ (for development only)
-- OpenClaw base image — build from [OpenClaw repo](https://github.com/jgarzik/openclaw) or use a prebuilt image:
+- OpenClaw base image — pulled automatically from GHCR, or pull manually:
   ```bash
-  # Option A: Build from source
-  git clone https://github.com/jgarzik/openclaw && cd openclaw && docker build -t openclaw:latest .
-
-  # Option B: Use a prebuilt image (set OPENCLAW_BASE_IMAGE in docker-compose.yml)
+  docker pull ghcr.io/openclaw/openclaw:latest
   ```
 
 ## Quick Start
@@ -156,6 +153,30 @@ On first visit, you'll see a login form. Enter the password to access the dashbo
 
 3. **Monitor** — The Dashboard tab shows all bots with their status. Start/stop bots, view logs, and check resource usage.
 
+### Ollama (Local LLM) Support
+
+BotMaker can use [Ollama](https://ollama.com/) for local LLM inference. The Ollama connection is configured on the proxy side — bots never see the Ollama URI, maintaining the zero-trust architecture.
+
+**Setup:**
+
+1. Install and run Ollama on the host machine
+2. Pull a model: `ollama pull qwen2.5:32b-instruct`
+3. Add `OLLAMA_UPSTREAM` to the keyring-proxy environment in `docker-compose.yml`:
+   ```yaml
+   keyring-proxy:
+     environment:
+       - OLLAMA_UPSTREAM=http://host.docker.internal:11434
+   ```
+4. Restart: `docker compose up -d`
+5. In the dashboard wizard, select "Ollama" as the provider and pick a model
+6. Set `OLLAMA_CONTEXT_LENGTH=32768` (or higher) in your Ollama environment for tool-use models
+
+**Notes:**
+- `host.docker.internal` resolves to the host machine from inside Docker
+- If Ollama runs on a different machine, replace with its IP/hostname
+- No API key is needed — Ollama requests are proxied without authentication
+- Streaming is automatically handled by the proxy for tool-call compatibility
+
 ### Login API
 
 ```bash
@@ -182,7 +203,7 @@ curl -X POST -H "Authorization: Bearer $TOKEN" http://localhost:7100/api/logout
 | `DATA_DIR` | ./data | Database and bot workspaces |
 | `SECRETS_DIR` | ./secrets | Per-bot secret storage |
 | `BOTENV_IMAGE` | botmaker-env:latest | Bot container image (built from botenv) |
-| `OPENCLAW_BASE_IMAGE` | openclaw:latest | Base image for botenv |
+| `OPENCLAW_BASE_IMAGE` | ghcr.io/openclaw/openclaw:latest | Base image for botenv |
 | `BOT_PORT_START` | 19000 | Starting port for bot containers |
 | `SESSION_EXPIRY_MS` | 86400000 | Session expiry in milliseconds (default 24h) |
 

dashboard/src/api.ts

@@ -178,3 +178,16 @@ export async function fetchProxyHealth(): Promise<ProxyHealthResponse> {
   });
   return handleResponse<ProxyHealthResponse>(response);
 }
+
+export async function fetchDynamicModels(baseUrl: string, apiKey?: string): Promise<string[]> {
+  let url = `${API_BASE}/models/discover?baseUrl=${encodeURIComponent(baseUrl)}`;
+  if (apiKey) {
+    url += `&apiKey=${encodeURIComponent(apiKey)}`;
+  }
+  const response = await fetch(url, { headers: getAuthHeaders() });
+  const data = await handleResponse<{ models: string[] }>(response);
+  return data.models;
+}
+
+/** @deprecated Use fetchDynamicModels instead */
+export const fetchOllamaModels = fetchDynamicModels;

dashboard/src/config/providers/index.ts

@@ -4,10 +4,11 @@ import { anthropic } from './anthropic';
 import { google } from './google';
 import { venice } from './venice';
 import { openrouter } from './openrouter';
+import { ollama } from './ollama';
 
 export type { ProviderConfig, ModelInfo };
 
-export const PROVIDERS: ProviderConfig[] = [openai, anthropic, google, venice, openrouter];
+export const PROVIDERS: ProviderConfig[] = [openai, anthropic, google, venice, openrouter, ollama];
 
 export const AI_PROVIDERS = PROVIDERS.map((p) => ({
   value: p.id,

dashboard/src/config/providers/ollama.ts

@@ -0,0 +1,11 @@
+import type { ProviderConfig } from './types';
+
+export const ollama: ProviderConfig = {
+  id: 'ollama',
+  label: 'Ollama',
+  baseUrl: 'http://localhost:11434/v1',
+  defaultModel: '',
+  models: [],
+  dynamicModels: true,
+  noAuth: true,
+};

dashboard/src/config/providers/types.ts

@@ -11,4 +11,7 @@ export interface ProviderConfig {
   models: ModelInfo[];
   defaultModel: string;
   keyHint?: string; // Placeholder hint for API key format (e.g., "sk-ant-...")
+  dynamicModels?: boolean;    // Models should be fetched at runtime (e.g., Ollama)
+  baseUrlEditable?: boolean;  // Show editable base URL field in wizard
+  noAuth?: boolean;           // Provider requires no API key (e.g., local Ollama)
 }

dashboard/src/dashboard/BotCard.tsx

@@ -81,6 +81,12 @@ export function BotCard({ bot, onStart, onStop, onDelete, loading }: BotCardProp
             <span className="bot-card-detail-value">{bot.port}</span>
           </div>
         )}
+        {bot.image_version && (
+          <div className="bot-card-detail">
+            <span className="bot-card-detail-label">Image</span>
+            <span className="bot-card-detail-value">{bot.image_version}</span>
+          </div>
+        )}
       </div>
 
       {bot.port && (isRunning || isStarting) && (

dashboard/src/hooks/useBots.test.ts

@@ -24,6 +24,7 @@ describe('useBots', () => {
       container_id: 'container-1',
       port: 3001,
       gateway_token: 'token-1',
+      image_version: 'ghcr.io/openclaw/openclaw:latest',
       status: 'running' as const,
       created_at: '2024-01-01T00:00:00Z',
       updated_at: '2024-01-01T00:00:00Z',
@@ -38,6 +39,7 @@ describe('useBots', () => {
       container_id: null,
       port: null,
       gateway_token: null,
+      image_version: null,
       status: 'stopped' as const,
       created_at: '2024-01-02T00:00:00Z',
       updated_at: '2024-01-02T00:00:00Z',
@@ -118,6 +120,7 @@ describe('useBots', () => {
       container_id: null,
       port: null,
       gateway_token: null,
+      image_version: null,
       status: 'created' as const,
       created_at: '2024-01-03T00:00:00Z',
       updated_at: '2024-01-03T00:00:00Z',

dashboard/src/types.ts

@@ -22,6 +22,7 @@ export interface Bot {
   container_id: string | null;
   port: number | null;
   gateway_token: string | null;
+  image_version: string | null;
   status: BotStatus;
   created_at: string;
   updated_at: string;
@@ -68,6 +69,7 @@ export interface WizardFeatures {
 export interface ProviderConfigInput {
   providerId: string;
   model: string;
+  baseUrl?: string;  // For direct providers — written to workspace config
 }
 
 export interface ChannelConfigInput {

dashboard/src/wizard/context/WizardContext.tsx

@@ -25,7 +25,7 @@ type WizardAction =
   | { type: 'TOGGLE_CHANNEL'; channelId: string }
   | { type: 'SET_ROUTING_TAGS'; tags: string[] }
   | { type: 'SET_FEATURE'; feature: keyof WizardState['features']; value: unknown }
-  | { type: 'SET_PROVIDER_CONFIG'; providerId: string; config: { model?: string } }
+  | { type: 'SET_PROVIDER_CONFIG'; providerId: string; config: { model?: string; baseUrl?: string } }
   | { type: 'SET_CHANNEL_CONFIG'; channelId: string; config: { token: string } }
   | { type: 'RESET' };
 

dashboard/src/wizard/context/wizardUtils.ts

@@ -19,7 +19,7 @@ export interface WizardState {
     sandboxTimeout: number;
     sessionScope: SessionScope;
   };
-  providerConfigs: Record<string, { model?: string } | undefined>;
+  providerConfigs: Record<string, { model?: string; baseUrl?: string } | undefined>;
   channelConfigs: Record<string, { token: string } | undefined>;
 }
 
@@ -86,6 +86,7 @@ export function buildCreateBotInput(state: WizardState): CreateBotInput {
   const providers = state.enabledProviders.map((providerId) => ({
     providerId,
     model: state.providerConfigs[providerId]?.model ?? '',
+    baseUrl: state.providerConfigs[providerId]?.baseUrl,
   }));
 
   const channels = state.enabledChannels.map((channelType) => ({

dashboard/src/wizard/pages/Page3Toggles.tsx

@@ -6,7 +6,7 @@ import { FeatureCheckbox } from '../components';
 import type { SessionScope } from '../../types';
 import './Page3Toggles.css';
 
-const POPULAR_PROVIDERS = ['openai', 'anthropic', 'venice'];
+const POPULAR_PROVIDERS = ['openai', 'anthropic', 'venice', 'ollama'];
 
 export function Page3Toggles() {
   const { state, dispatch } = useWizard();

dashboard/src/wizard/pages/Page4Config.css

@@ -34,3 +34,24 @@
 .page4-empty p + p {
   margin-top: var(--space-xs);
 }
+
+.page4-loading {
+  font-size: 11px;
+  color: var(--text-muted);
+  font-weight: 400;
+}
+
+.page4-refresh-btn {
+  margin-top: var(--space-xs);
+  padding: 4px 12px;
+  font-size: 12px;
+  background: var(--bg-secondary, #2a2a2a);
+  border: 1px solid var(--border-color, #444);
+  border-radius: 4px;
+  color: var(--text-secondary);
+  cursor: pointer;
+}
+
+.page4-refresh-btn:hover {
+  background: var(--bg-hover, #333);
+}