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API & Models

Exponential backoff

The retry strategy the docs recommend for 429 and 529 responses: wait longer after each attempt instead of retrying immediately.

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API & Models
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docs.typesafe.ai
Added
2026-09-24

Definition

When a request hits a rate limit or an overloaded service, retrying immediately makes the problem worse. The API reference says to back off and retry after a short delay, and the SDKs do this automatically.

Handling backoff yourself is only necessary when calling the HTTP API directly, in which case the docs point at the same policy the SDKs use.

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Related terms

Definitions that connect to this one.

Retry policyThe SDK configuration for retrying failed requests: attempt count, retryable statuses, backoff, and retry-header handling.API & ModelsRate limitThe throughput caps — 250,000 tokens per second and 1,200 requests per minute — that return 429 when exceeded.API & ModelsAPI errorThe four documented failure statuses — 401, 422, 429, and 529 — with retry guidance for the last two.API & Models

From the directory

API Reference
The raw HTTP contract behind every SDK: POST a state plus typed noul, choice, and score questions to /v1/systemone, and get one answer per question, with error codes and retry guidance.
Sites & GuidesDocs#official#docs#api
Official
Python SDK Guide
Usage guide for typesafe-sdk: sync and async clients, uv and pip installs, and one request mixing Noul, Choice, and Score questions with answers grouped by type.
Repos & SDKsDocs#official#docs#sdk
Official

From the community

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@DagmawiBabi
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Diogo Almeida
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TypeSafe AI
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After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Pixel art out of 256 multiple-choice questions

Aryan Singh
Aryan Singh
@just_aryansingh
·

I turned @typesafeai Jev model into a pixel art model. 256 multiple choice questions, one per pixel, plus refinement passes. These were the best results out of the bunch I tested. Code: github.com/Wizhill05/type…

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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