Gathering detailed insights and metrics for @agenite/ollama
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.
Installations
npm install @agenite/ollamaDeveloper Guide
BETA
Typescript
Yes
Module System
ESM
Node Version
22.13.0
NPM Version
11.1.0
Score
71.2
Supply Chain
96.8
Quality
90.9
Maintenance
100
Vulnerability
100
License
Contributors
2
Unable to fetch Contributors
Languages
4
TypeScript
CSS
JavaScript
Handlebars
TypeScript (92.04%)
CSS (5.27%)
JavaScript (2.56%)
Handlebars (0.13%)
validate.email 🚀
Verify real, reachable, and deliverable emails with instant MX records, SMTP checks, and disposable email detection.
Developer
subeshb1
Download Statistics
Total Downloads
1,030
Last Day
34
Last Week
56
Last Month
407
Last Year
1,030
GitHub Statistics
MIT License
30 Stars
70 Commits
2 Forks
1 Watchers
2 Branches
2 Contributors
Updated on Mar 12, 2025
Bundle Size
20.74 kB
Minified
6.87 kB
Minified + Gzipped
Maintainers
1
Package Meta Information
Latest Version
0.3.0
Package Id
@agenite/ollama@0.3.0
Unpacked Size
76.08 kB
Size
12.68 kB
File Count
10
NPM Version
11.1.0
Node Version
22.13.0
Published on
Feb 25, 2025
Total Downloads
Cumulative downloads
Total Downloads
1,030
Last Day
580%
34
Compared to previous day
Last Week
-17.6%
56
Compared to previous week
Last Month
-34.7%
407
Compared to previous month
Last Year
0%
1,030
Compared to previous year
Daily Downloads
Weekly Downloads
Monthly Downloads
Yearly Downloads
Dependencies
2
@agenite/ollama
Ollama provider for Agenite, enabling seamless integration with local Ollama models.
Features
- 🚀 Support for all Ollama models (Llama 2, CodeLlama, Mistral, etc.)
- 🛠️ Function/tool calling support
- 🖼️ Image input support (with multimodal models)
- 📝 Rich content types (text, images, tool calls)
- 🔄 Streaming responses
- ⚙️ Extensive model parameter controls
Installation
1npm install @agenite/ollama
Make sure you have Ollama installed and running locally.
Usage
Basic Chat
1import { OllamaProvider } from '@agenite/ollama'; 2 3const provider = new OllamaProvider({ 4 model: 'llama2', 5 host: 'http://localhost:11434', 6 temperature: 0.7, 7}); 8 9const messages = [ 10 { 11 role: 'user', 12 content: [{ type: 'text', text: 'What are the main features of Llama 2?' }], 13 }, 14]; 15 16const response = await provider.generate({ messages }); 17console.log(response.content[0].text);
Tool Usage
1const calculatorTool = { 2 name: 'calculator', 3 description: 'Performs basic arithmetic operations', 4 parameters: { 5 type: 'object', 6 properties: { 7 operation: { 8 type: 'string', 9 enum: ['add', 'subtract', 'multiply', 'divide'], 10 }, 11 a: { type: 'number' }, 12 b: { type: 'number' }, 13 }, 14 required: ['operation', 'a', 'b'], 15 }, 16}; 17 18const response = await provider.generate({ 19 messages: [ 20 { 21 role: 'user', 22 content: [{ type: 'text', text: 'What is 123 multiplied by 456?' }], 23 }, 24 ], 25 tools: [calculatorTool], 26});
Image Input
1const provider = new OllamaProvider({ 2 model: 'llava', 3 host: 'http://localhost:11434', 4}); 5 6const response = await provider.generate({ 7 messages: [ 8 { 9 role: 'user', 10 content: [ 11 { 12 type: 'image', 13 source: { 14 type: 'base64', 15 media_type: 'image/jpeg', 16 data: imageBase64, 17 }, 18 }, 19 { type: 'text', text: 'What do you see in this image?' }, 20 ], 21 }, 22 ], 23});
Configuration
The provider accepts the following configuration options:
1interface OllamaConfig { 2 model: string; // Model name (e.g., 'llama2', 'codellama') 3 host?: string; // Ollama server URL (default: http://localhost:11434) 4 temperature?: number; // Generation temperature (0-1) 5 maxTokens?: number; // Maximum tokens to generate 6 systemPrompt?: string; // System prompt for all conversations 7 parameters?: { // Additional model parameters 8 mirostat?: number; 9 num_ctx?: number; 10 num_gpu?: number; 11 // ... and more 12 }; 13}
Examples
Check out the examples directory for more detailed examples:
basic-chat.ts: Simple text conversationtool-usage.ts: Calculator tool implementationimage-input.ts: Image analysis with multimodal models
Development
1# Install dependencies 2npm install 3 4# Build 5npm run build 6 7# Run tests 8npm test 9 10# Run examples 11npx ts-node examples/basic-chat.ts
License
MIT
No vulnerabilities found.
No security vulnerabilities found.