llmhub.ai 0.1.2

LLMHub - Open-source multi-provider LLM gateway

LLMHub

Lightweight gateway for routing LLM requests across providers.

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Overview

LLMHub is a lightweight infrastructure layer that routes chat requests between multiple LLM providers.

It provides a single API and CLI interface to:

• switch between providers
• optimize cost and latency
• run locally or in production

Designed for developers building AI-powered apps without vendor lock-in.

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Features

• Single /chat endpoint powered by FastAPI
• Multi-provider routing (Gemini, Ollama, optional OpenAI)
• Auto routing via rules or LLM-based agent
• CLI for local workflows
• .env-based configuration
• Fallback handling & latency tracking
• Business-friendly monitoring dashboard at /monitoring/dashboard
• Operational monitoring APIs (/monitoring/overview, /monitoring/timeseries, /monitoring/failures)

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Quick Start

1. Install

pip install -r requirements.txt

2. Configure

cp .env.example .env

Fill required keys.

3. Run server

uvicorn app.main:app --reload

Docs available at:

http://127.0.0.1:8000/docs

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Example Request

{
	"message": "Hello",
	"preferred_provider": "auto",
	"max_cost_tier": "low",
	"timeout_ms": 120000
}

Example Response

{
	"answer": "string",
	"provider": "gemini",
	"model": "string",
	"latency_ms": 120,
	"request_id": "uuid",
	"fallback_used": false
}

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CLI

Install:

pip install -e .

Usage:

llmhub chat "Hello" --provider auto
llmhub serve --reload

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Routing Modes

rules

• Fast
• Deterministic
• Based on heuristics

agent

• Uses LLM (Gemini) for routing decisions
• More flexible, but adds latency and cost

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Configuration

Environment variables:

• GEMINI_API_KEY
• GEMINI_MODEL
• OLLAMA_BASE_URL
• OLLAMA_MODEL
• ROUTER_MODE
• ROUTER_MODEL

.env must not be committed

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Troubleshooting

• Ollama 404

  ollama pull llama3:8b
  

• Gemini 404

  • Check available models via API

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Monitoring

Run service and open:

http://127.0.0.1:8000/monitoring/dashboard

Key endpoints:

• /metrics - Prometheus scrape endpoint
• /monitoring/overview - KPI snapshot for selected time window
• /monitoring/timeseries - request/error/latency series for charting
• /monitoring/failures - latest failed requests list

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Roadmap

• OpenAI provider stabilization
• Request caching
• Metrics dashboard
• Rate limiting
• Plugin system

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License

MIT