Twigg

Stateful LLM API that manages conversation context and routes requests across multiple model providers.

Overview

Twigg is a hosted API for building LLM applications without managing conversation context yourself. It stores conversations externally, handles context window fitting for different models, and routes requests to providers like Anthropic, OpenAI, Google, xAI, Fireworks, and OpenRouter.

The service simplifies building agents, chatbots, support bots, and other LLM-powered applications by providing a single unified interface. You create a chat once, then send only new events to it, with the ability to switch models mid-conversation. Twigg also tracks costs for every request across all routed models.

Key features

Stateful conversation management
Multi-provider model routing
Automatic context window fitting
Mid-conversation model switching
Cost tracking per request
Unified API across providers
Bearer token authentication

Pros

Single API for multiple LLM providers
Handles context management automatically
Conversations persist outside provider ecosystems
Supports switching models without losing context
Detailed cost reporting
Well-documented with markdown docs and OpenAPI spec

Cons

Requires API key authentication
Adds latency as an intermediary service
Pricing not clearly stated in available evidence

Use this if

You need to manage LLM conversations across multiple providers with persistent context, or want to simplify building multi-model AI applications without handling conversation state yourself.

Skip this if

You only use a single LLM provider and manage conversation context in your application, or you need on-premise deployment options.

Best for

Building chatbots and conversational agentsMulti-model LLM applicationsApplications requiring conversation persistenceCost tracking across LLM providersSupport bots and customer service automation

Alternatives

LangChainLlamaIndexAnthropic's Batch APIOpenAI's Assistants API

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