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Manage LLM conversation state across any provider

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Reviews onG2
10 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

No vendor lock-in, switch providers without changing code

Biggest con

Adds a proxy layer, which may introduce slight latency compared to direct provider APIs

TL;DR - Twigg

  • Hosted stateful API that stores and manages LLM conversation context automatically
  • Switch between providers like Anthropic, OpenAI, Google, xAI, Fireworks, or OpenRouter mid-conversation
  • Get per-request cost reporting built into every response
Pricing: Free plan available
Best for: Growing teams
4.9/5 across review platforms

What is Twigg?

Editorial review
Twigg is a stateful API that manages all conversation state for you, eliminating the complexity of handling context across different LLM providers. You create a chat once, send only the next event, and Twigg stores the full conversation history, fits it to each model's context window, and routes requests to Anthropic, OpenAI, Google, xAI, Fireworks, or OpenRouter. Every request comes with a cost report so you always know what each turn cost. Twigg acts as a hosted context store, assembler, and model router. Conversations live outside the LLM providers, meaning you can switch models mid-conversation without losing context. The API is provider-agnostic, so you never lock in to a single vendor. With a simple REST API and API key authentication, Twigg integrates directly into any backend or application that needs multi-provider LLM orchestration with minimal effort.

Pros & Cons

Pros

  • No vendor lock-in, switch providers without changing code
  • Simplifies conversation state management by handling context outside the provider
  • Transparent per-request cost tracking for budget control

Cons

  • Adds a proxy layer, which may introduce slight latency compared to direct provider APIs
  • Limited to the set of providers Twigg supports (Anthropic, OpenAI, Google, xAI, Fireworks, OpenRouter)

Ratings Across the Web

4.9(10 reviews)

Twigg holds an aggregate rating of 4.9 out of 5 from 10 reviews across G2, last checked September 16, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

Automated context window fitting for each modelModel router supporting multiple LLM providersCost reporting for every API requestStateful chat creation with event-based interactionAPI key authentication with bearer token

Pricing

Freemium

Twigg offers a generous free tier with optional paid upgrades for advanced features.

View pricing

Is Twigg worth the price?

50/100

Twigg's pricing is not yet disclosed, which makes it impossible to judge fairness or value against the market.

Without any tiers, free trial, or billing details, buyers cannot compare costs or assess affordability. This is best for enterprise teams who prioritize vendor negotiation over transparent, self-serve pricing.

Hidden Costs & Gotchas

No free tier means you pay per API call from day one, with no $0 trial to test latency or accuracy.

No published per-million-token rates, so you cannot estimate monthly spend without contacting sales.

Billing cycles are unspecified, so you may be locked into annual prepayment with no monthly option.

Stateful features like session persistence may incur extra storage or compute fees not listed in base API pricing.

No usage-based discount tiers, so high-volume workloads may pay full price without volume breaks.

Reviews

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4.9/5

Across 10 verified user reviews on G2

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Twigg FAQ

How does Twigg help a developer build a multi-provider chat application?

Twigg manages all conversation state externally by storing the full history and fitting it to each model's context window. A developer creates one chat and sends only the next event, and Twigg automatically routes requests to providers like OpenAI or Anthropic. This eliminates the need for custom context management code and enables provider switching without losing conversation continuity.

How does Twigg compare to LiteLLM for managing conversation state across providers?

Unlike LiteLLM, which requires developers to handle context management themselves, Twigg acts as a hosted conversation store that automatically maintains the full history and fits it to each model's context window. Twigg also provides a per-request cost report so you always know what each turn cost, a feature not inherent in LiteLLM.

What trade-offs should a team consider when using Twigg instead of a direct provider API?

Twigg adds a proxy layer between your application and the LLM providers, which may introduce slight latency compared to calling the provider API directly. Additionally, Twigg is limited to the providers it supports: Anthropic, OpenAI, Google, xAI, Fireworks, and OpenRouter.

Which teams benefit most from Twigg's approach to conversation state management?

Teams building multi-provider AI applications that need to switch LLM providers without losing context benefit the most. Developers who want to avoid vendor lock-in and need transparent per-request cost tracking will find Twigg's provider-agnostic API particularly useful.

How is Twigg priced for different levels of usage?

Twigg offers a free tier to get started, with paid plans available for higher usage volumes and additional features. The exact usage limits and feature set scale with the plan selected.

Can Twigg switch LLM providers in the middle of a conversation without losing context?

Yes, because conversation history is stored outside the LLM providers in Twigg's hosted state store, you can change the model or provider mid-conversation. Twigg automatically fits the stored context to the new model's window, so no context is lost.

How does Twigg provide cost transparency for each API call?

Every request made through Twigg returns a cost report so you always know the exact cost per turn. This allows teams to track expenses across different providers and models without manual calculations.

What kind of authentication does Twigg use for its API?

Twigg uses simple API key authentication, making it straightforward to integrate into any backend or application. It provides a standard REST API for creating chats and sending events.

Source: twigg.ai

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