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Chimera readability score 55 out of 100, Graduate reading level.

Access to Claude Fable 5, the Mythos-class model, has now been restored on AI Gateway following the US Government's decision to lift the export controls.
Fable 5 is the same model that was available between June 9 and June 12. What has changed is the safety classifiers, which are now updated and more robust.
In the near term, some routine tasks such as coding and debugging may trigger safety classifiers. To ensure requests are still serviced when the safety classifiers are triggered, use model fallbacks. AI Gateway will try each model in models
in the stated order if Anthropic refuses the request to Fable 5.
To call Fable 5, use model name anthropic/claude-fable-5
:
import { streamText } from 'ai';
const result = streamText({ model: 'anthropic/claude-fable-5', prompt: 'Summarize this quarterly report and list the key risks.', providerOptions: { gateway: { models: ['anthropic/claude-opus-4.8', 'anthropic/claude-sonnet-5'], }, },});
Call Fable 5 with model fallbacks. This request will fall back to Opus 4.8, then Sonnet 5, if the safety classifier is triggered.
Model fallbacks work on every API format: for more information on how to configure these, see the docs.
Anthropic does not support Zero Data Retention for the model, because some misuse patterns are only visible across cumulative requests, which real-time filters cannot catch on their own. Prompts and completions are retained for 30 days and are not used to train Claude. Read more in the data retention whitepaper.

Sentinel — Likely Human

Confidence

The text functions as a precise technical announcement, highly structured and instructional, exhibiting characteristics common to AI-generated summaries of official source material.

Signals Detected
medium severity: Uniform rhythm and highly structured, functional language typical of technical instructions.
low severity: Perfectly fluent but entirely devoid of editorial voice or contextualization; purely informational.
low severity: Presentation of technical steps and policies in a clear, instructional sequence lacking human narrative flow.
Human Indicators
The text uses specific, operational details (API calls, model names, policy specifics) that suggest direct extraction from technical documentation or an internal system announcement.