Add Ollama provider for self-hosted LLM inference

Adds LLM_PROVIDER=ollama for fully local, zero-cost inference
via Ollama's OpenAI-compatible API. No API key required.
Configurable base URL via OLLAMA_BASE_URL env var.
This commit is contained in:
R4V3N
2026-03-18 17:13:16 +01:00
parent a8682c50d0
commit 06514fb5e4
6 changed files with 266 additions and 4 deletions

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@@ -31,13 +31,15 @@ REFRESH_INTERVAL_MINUTES=15
# === LLM Layer (optional) ===
# Enables AI-enhanced trade ideas and breaking news Telegram alerts.
# Provider options: anthropic | openai | gemini | codex | openrouter | minimax
# Provider options: anthropic | openai | gemini | codex | openrouter | minimax | ollama
LLM_PROVIDER=
# Not needed for codex (uses ~/.codex/auth.json)
# Not needed for codex (uses ~/.codex/auth.json) or ollama (local)
LLM_API_KEY=
# Optional override. Each provider has a sensible default:
# anthropic: claude-sonnet-4-6 | openai: gpt-5.4 | gemini: gemini-3.1-pro | codex: gpt-5.3-codex | openrouter: openrouter/auto | minimax: MiniMax-M2.5
# anthropic: claude-sonnet-4-6 | openai: gpt-5.4 | gemini: gemini-3.1-pro | codex: gpt-5.3-codex | openrouter: openrouter/auto | minimax: MiniMax-M2.5 | ollama: llama3.1:8b
LLM_MODEL=
# Ollama base URL (only needed if not using default http://localhost:11434)
OLLAMA_BASE_URL=
# === Telegram Alerts (optional, requires LLM) ===
# Create a bot via @BotFather, get chat ID via @userinfobot

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@@ -7,9 +7,10 @@ export default {
refreshIntervalMinutes: parseInt(process.env.REFRESH_INTERVAL_MINUTES) || 15,
llm: {
provider: process.env.LLM_PROVIDER || null, // anthropic | openai | gemini | codex | openrouter | minimax
provider: process.env.LLM_PROVIDER || null, // anthropic | openai | gemini | codex | openrouter | minimax | ollama
apiKey: process.env.LLM_API_KEY || null,
model: process.env.LLM_MODEL || null,
baseUrl: process.env.OLLAMA_BASE_URL || null,
},
telegram: {

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@@ -6,6 +6,7 @@ import { OpenRouterProvider } from './openrouter.mjs';
import { GeminiProvider } from './gemini.mjs';
import { CodexProvider } from './codex.mjs';
import { MiniMaxProvider } from './minimax.mjs';
import { OllamaProvider } from './ollama.mjs';
export { LLMProvider } from './provider.mjs';
export { AnthropicProvider } from './anthropic.mjs';
@@ -14,6 +15,7 @@ export { OpenRouterProvider } from './openrouter.mjs';
export { GeminiProvider } from './gemini.mjs';
export { CodexProvider } from './codex.mjs';
export { MiniMaxProvider } from './minimax.mjs';
export { OllamaProvider } from './ollama.mjs';
/**
* Create an LLM provider based on config.
@@ -38,6 +40,8 @@ export function createLLMProvider(llmConfig) {
return new CodexProvider({ model });
case 'minimax':
return new MiniMaxProvider({ apiKey, model });
case 'ollama':
return new OllamaProvider({ model, baseUrl: llmConfig.baseUrl });
default:
console.warn(`[LLM] Unknown provider "${provider}". LLM features disabled.`);
return null;

49
lib/llm/ollama.mjs Normal file
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@@ -0,0 +1,49 @@
// Ollama Provider — raw fetch, no SDK
// Uses Ollama's OpenAI-compatible Chat Completions API
// No API key required — fully local inference
import { LLMProvider } from './provider.mjs';
export class OllamaProvider extends LLMProvider {
constructor(config) {
super(config);
this.name = 'ollama';
this.baseUrl = (config.baseUrl || 'http://localhost:11434').replace(/\/+$/, '');
this.model = config.model || 'llama3.1:8b';
}
get isConfigured() { return !!this.model; }
async complete(systemPrompt, userMessage, opts = {}) {
const res = await fetch(`${this.baseUrl}/v1/chat/completions`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model: this.model,
max_tokens: opts.maxTokens || 4096,
messages: [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: userMessage },
],
}),
signal: AbortSignal.timeout(opts.timeout || 120000),
});
if (!res.ok) {
const err = await res.text().catch(() => '');
throw new Error(`Ollama API ${res.status}: ${err.substring(0, 200)}`);
}
const data = await res.json();
const text = data.choices?.[0]?.message?.content || '';
return {
text,
usage: {
inputTokens: data.usage?.prompt_tokens || 0,
outputTokens: data.usage?.completion_tokens || 0,
},
model: data.model || this.model,
};
}
}

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@@ -0,0 +1,36 @@
// Ollama provider — integration test (calls real Ollama instance)
// Requires a running Ollama server with a model pulled
// Run: OLLAMA_MODEL=llama3.1:8b node --test test/llm-ollama-integration.test.mjs
import { describe, it } from 'node:test';
import assert from 'node:assert/strict';
import { OllamaProvider } from '../lib/llm/ollama.mjs';
const BASE_URL = process.env.OLLAMA_BASE_URL || 'http://localhost:11434';
const MODEL = process.env.OLLAMA_MODEL || 'llama3.1:8b';
// Check if Ollama is reachable before running tests
let ollamaAvailable = false;
try {
const res = await fetch(`${BASE_URL}/api/tags`, { signal: AbortSignal.timeout(3000) });
ollamaAvailable = res.ok;
} catch { /* not available */ }
describe('Ollama integration', { skip: !ollamaAvailable && 'Ollama not reachable' }, () => {
it('should complete a prompt via local Ollama', async () => {
const provider = new OllamaProvider({ model: MODEL, baseUrl: BASE_URL });
assert.equal(provider.isConfigured, true);
const result = await provider.complete(
'You are a helpful assistant. Respond in exactly one sentence.',
'What is 2+2?',
{ maxTokens: 128, timeout: 60000 }
);
assert.ok(result.text.length > 0, 'Response text should not be empty');
assert.ok(result.model, 'Should report model name');
console.log(` Response: ${result.text}`);
console.log(` Tokens: ${result.usage.inputTokens} in / ${result.usage.outputTokens} out`);
console.log(` Model: ${result.model}`);
});
});

170
test/llm-ollama.test.mjs Normal file
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@@ -0,0 +1,170 @@
// Ollama provider — unit tests
// Uses Node.js built-in test runner (node:test) — no extra dependencies
import { describe, it, mock, beforeEach } from 'node:test';
import assert from 'node:assert/strict';
import { OllamaProvider } from '../lib/llm/ollama.mjs';
import { createLLMProvider } from '../lib/llm/index.mjs';
// ─── Unit Tests ───
describe('OllamaProvider', () => {
it('should set defaults correctly', () => {
const provider = new OllamaProvider({});
assert.equal(provider.name, 'ollama');
assert.equal(provider.model, 'llama3.1:8b');
assert.equal(provider.baseUrl, 'http://localhost:11434');
assert.equal(provider.isConfigured, true);
});
it('should accept custom model and base URL', () => {
const provider = new OllamaProvider({ model: 'qwen2.5:14b', baseUrl: 'http://192.168.1.10:11434' });
assert.equal(provider.model, 'qwen2.5:14b');
assert.equal(provider.baseUrl, 'http://192.168.1.10:11434');
});
it('should strip trailing slashes from base URL', () => {
const provider = new OllamaProvider({ baseUrl: 'http://localhost:11434/' });
assert.equal(provider.baseUrl, 'http://localhost:11434');
});
it('should throw on API error', async () => {
const provider = new OllamaProvider({});
const originalFetch = globalThis.fetch;
globalThis.fetch = mock.fn(() =>
Promise.resolve({ ok: false, status: 404, text: () => Promise.resolve('model not found') })
);
try {
await assert.rejects(
() => provider.complete('system', 'user'),
(err) => {
assert.match(err.message, /Ollama API 404/);
return true;
}
);
} finally {
globalThis.fetch = originalFetch;
}
});
it('should parse successful response', async () => {
const provider = new OllamaProvider({});
const mockResponse = {
choices: [{ message: { content: 'Hello from Ollama' } }],
usage: { prompt_tokens: 12, completion_tokens: 8 },
model: 'llama3.1:8b',
};
const originalFetch = globalThis.fetch;
globalThis.fetch = mock.fn(() =>
Promise.resolve({ ok: true, json: () => Promise.resolve(mockResponse) })
);
try {
const result = await provider.complete('You are helpful.', 'Say hello');
assert.equal(result.text, 'Hello from Ollama');
assert.equal(result.usage.inputTokens, 12);
assert.equal(result.usage.outputTokens, 8);
assert.equal(result.model, 'llama3.1:8b');
} finally {
globalThis.fetch = originalFetch;
}
});
it('should send correct request format', async () => {
const provider = new OllamaProvider({ model: 'qwen2.5:14b', baseUrl: 'http://myhost:11434' });
let capturedUrl, capturedOpts;
const originalFetch = globalThis.fetch;
globalThis.fetch = mock.fn((url, opts) => {
capturedUrl = url;
capturedOpts = opts;
return Promise.resolve({
ok: true,
json: () => Promise.resolve({
choices: [{ message: { content: 'ok' } }],
usage: { prompt_tokens: 1, completion_tokens: 1 },
model: 'qwen2.5:14b',
}),
});
});
try {
await provider.complete('system prompt', 'user message', { maxTokens: 2048 });
assert.equal(capturedUrl, 'http://myhost:11434/v1/chat/completions');
assert.equal(capturedOpts.method, 'POST');
const headers = capturedOpts.headers;
assert.equal(headers['Content-Type'], 'application/json');
assert.equal(headers['Authorization'], undefined);
const body = JSON.parse(capturedOpts.body);
assert.equal(body.model, 'qwen2.5:14b');
assert.equal(body.max_tokens, 2048);
assert.equal(body.messages[0].role, 'system');
assert.equal(body.messages[0].content, 'system prompt');
assert.equal(body.messages[1].role, 'user');
assert.equal(body.messages[1].content, 'user message');
} finally {
globalThis.fetch = originalFetch;
}
});
it('should handle empty response gracefully', async () => {
const provider = new OllamaProvider({});
const originalFetch = globalThis.fetch;
globalThis.fetch = mock.fn(() =>
Promise.resolve({
ok: true,
json: () => Promise.resolve({ choices: [], usage: {} }),
})
);
try {
const result = await provider.complete('sys', 'user');
assert.equal(result.text, '');
assert.equal(result.usage.inputTokens, 0);
assert.equal(result.usage.outputTokens, 0);
} finally {
globalThis.fetch = originalFetch;
}
});
it('should use longer default timeout than cloud providers', async () => {
const provider = new OllamaProvider({});
let capturedOpts;
const originalFetch = globalThis.fetch;
globalThis.fetch = mock.fn((url, opts) => {
capturedOpts = opts;
return Promise.resolve({
ok: true,
json: () => Promise.resolve({
choices: [{ message: { content: 'ok' } }],
usage: { prompt_tokens: 1, completion_tokens: 1 },
}),
});
});
try {
await provider.complete('sys', 'user');
assert.ok(capturedOpts.signal, 'Should have an abort signal');
} finally {
globalThis.fetch = originalFetch;
}
});
});
// ─── Factory Tests ───
describe('createLLMProvider — ollama', () => {
it('should create OllamaProvider for provider=ollama', () => {
const provider = createLLMProvider({ provider: 'ollama', apiKey: null, model: null });
assert.ok(provider instanceof OllamaProvider);
assert.equal(provider.name, 'ollama');
assert.equal(provider.isConfigured, true);
});
it('should be case-insensitive', () => {
const provider = createLLMProvider({ provider: 'Ollama', apiKey: null, model: null });
assert.ok(provider instanceof OllamaProvider);
});
it('should pass baseUrl from config', () => {
const provider = createLLMProvider({ provider: 'ollama', apiKey: null, model: 'mistral:7b', baseUrl: 'http://gpu-box:11434' });
assert.ok(provider instanceof OllamaProvider);
assert.equal(provider.baseUrl, 'http://gpu-box:11434');
assert.equal(provider.model, 'mistral:7b');
});
});