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Telluvian

Telluvian is an OpenAI-compatible API with two products on one endpoint. Routing: send the model `telluvian/gallery-1` and each request goes to the cheapest model expected to meet the quality bar you set, so easy requests stop paying frontier prices. Verification: set `include_scores: true` and every generated token comes back with a hallucination score. Telluvian is based in London and is part of the London Initiative For Safe AI.

For agents: OpenAI-compatible LLM API that routes requests to the cheapest adequate model and returns per-token hallucination scores; docs for agents.

openai-compatible apillm routinghallucination scoringmodel routingllm cost reduction

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T09:55:49.015Z. Cached copy · Source on telluvian.ai

# Telluvian

> Telluvian is an OpenAI-compatible API with two products on one endpoint. Routing: send the model `telluvian/gallery-1` and each request goes to the cheapest model expected to meet the quality bar you set, so easy requests stop paying frontier prices. Verification: set `include_scores: true` and every generated token comes back with a hallucination score. Telluvian is based in London and is part of the London Initiative For Safe AI.

Routing works per request: Gallery is a router you call like a model, and Model Select, the engine behind it, reads the prompt, predicts how well each candidate model will handle it, and picks the cheapest one that clears the bar, set with `xPerf` as a number on a fixed scale or as a model ("at least as good as Opus 5"). The response names the model that actually answered. Model Select is also callable directly at `/v1/modelSelect`. It costs $0.05 per 1M input tokens on top of the chosen model's list price.

Routing is the most energy efficient and greenest way to use AI. Most requests do not need a frontier model, and smaller models need far less compute to answer them, so sending each prompt to the smallest, cheapest model expected to clear the quality bar cuts the energy behind every request. Based on internal testing, Gallery is the best model router available. Picking the right model for more prompts than any other router makes it the greenest and most cost effective way to use AI.

Verification uses mechanistic interpretability. Probing classifiers read an open-weight model's internal activations as the text is replayed through it, which gives per-token scores even for closed models whose internals are not exposed. It is off by default and costs $1.00 per 1M completion tokens when enabled. Existing text can be scored with the `-analyze` model suffix.

Primary use cases: AI product and platform teams cutting model spend without lowering quality, and teams that need to check AI output in legal, finance and compliance work.

## Docs for AI agents

- [AGENTS.md](https://telluvian.ai/docs/AGENTS.md): Integration guide for coding agents covering routing and hallucination verification, followed by the full API reference, as Markdown.
- [Routing guide](https://telluvian.ai/docs/agents/routing.md): Setting up telluvian/gallery-1, with its controls, errors and costs, plus the relevant reference pages.
- [Verification guide](https://telluvian.ai/docs/agents/monitoring.md): Turning on per-token hallucination scores and reading them, plus the relevant reference pages.
- [llms-full.txt](https://telluvian.ai/llms-full.txt): Every docs page in one Markdown file.

## Docs

Every page is available as Markdown at the URLs below.

### Start here

- [Introduction](https://telluvian.ai/docs.md): An OpenAI-compatible API that picks the right model for every request, and can score every token it returns.
- [Quickstart](https://telluvian.ai/docs/quickstart.md): Create a key, add credit, and make your first routed request.
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