Model Management

Your Central Hub for AI Models

Manage all your AI models from one place. Cloud APIs, local models, and custom deployments—unified with versioning, monitoring, and seamless switching.

Model Hub

6 Active

gpt-4o

OpenAI

320ms

claude-3.5-sonnet

Anthropic

450ms

llama-3.1-70b

Local

180ms

text-embedding-3

OpenAI

45ms
Total requests today24,892

Supported Model Providers

Connect to any AI provider or run models locally. One API, unlimited possibilities.

OpenAI

GPT-4oGPT-4 TurboGPT-3.5WhisperDALL-E

Anthropic

Claude 3.5 SonnetClaude 3 OpusClaude 3 Haiku

Google

Gemini ProGemini UltraPaLM 2

Mistral

Mixtral 8x7BMistral LargeMistral Small

Local Models

OllamaLM Studiollama.cpp

Custom

Any OpenAI-compatible APIONNXPyTorch

Model Management Features

Everything you need to manage AI models at scale—from development to production.

Unified Model Hub

Access all your models—cloud APIs, local, and custom—from a single interface. Switch providers without changing code.

Model Versioning

Track model versions, configurations, and parameters. Roll back to previous versions instantly if needed.

One-Click Deployment

Deploy models to production with a single click. Automatic scaling and load balancing included.

Usage Analytics

Monitor token usage, latency, costs, and performance metrics across all models in real-time.

API Key Management

Securely store and rotate API keys. Share model access with team members without exposing credentials.

Model Routing

Intelligently route requests to different models based on cost, latency, or capability requirements.

Model Categories

Access hundreds of pre-configured models across every AI category.

50+

Language Models

GPT, Claude, Gemini, Llama, Mistral

20+

Vision Models

YOLO, CLIP, SAM, InsightFace

10+

Audio Models

Whisper, ElevenLabs, PlayHT

15+

Embedding Models

text-embedding-3, Cohere, BGE

8+

Image Generation

DALL-E, Stable Diffusion, Midjourney

Custom Models

Upload your own ONNX/PyTorch models

Use Cases

From model evaluation to production deployment, manage the entire AI lifecycle.

Multi-Model Applications

Build applications that use different models for different tasks—fast models for simple queries, powerful models for complex reasoning.

Model routingFallback chainsA/B testingCost optimization

Model Evaluation

Compare model performance across benchmarks, test prompts, and real-world scenarios before production deployment.

Side-by-side comparisonCustom benchmarksQuality metricsLatency testing

Cost Management

Track and optimize AI spending across models and teams. Set budgets and alerts to prevent cost overruns.

Usage trackingBudget alertsCost allocationTeam quotas

Compliance & Audit

Maintain full audit trails of model usage for regulatory compliance. Track who accessed what and when.

Access logsData retentionGDPR complianceExport reports

Simple, Unified API

Switch between models with one line of code. No provider-specific SDKs needed.

model-usage.ts
import { lither } from '@lither/sdk';

// Use any model with the same API
const response = await lither.models.generate({
  model: "gpt-4o",           // or "claude-3.5-sonnet", "llama-3.1-70b"
  messages: [
    { role: "user", content: "Explain quantum computing" }
  ],
  temperature: 0.7,
});

// Automatic fallback chain
const reliableResponse = await lither.models.generate({
  models: ["gpt-4o", "claude-3.5-sonnet", "llama-3.1-70b"],
  fallback: "sequential",    // Try next model on failure
  messages: [...],
});

Ready to Unify Your AI Models?

Stop juggling multiple AI providers. Manage everything from one platform with built-in monitoring, versioning, and cost control.