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typesafe-ai GitHub organisation and repos

[ entity ][ updated 2026-09-20 ][ confidence high ][ jev-1.13.0 ][ python sdk 0.6.0 ][ js sdk 0.6.0 ]#github · sdk · open-source · repos · packages

TL;DR Four repos matter for building with Jev: typesafe-sdk-python (pip install typesafe-sdk, v0.6.0), typesafe-sdk-js (npm install @typesafe-ai/sdk, v0.6.0), skills (the agent skill / Claude Code plugin), and system-one-adapter-python (system-one-adapter, v0.1.4 — run the same API against an LLM for comparison). Everything else in the org is infrastructure or a fork.

Org listing

Org: https://github.com/typesafe-ai. Listing observed during ingestion on 2026-09-17; "Last push" is from that listing.

Repo Language Description Last push Relevance to Jev
system-one-adapter-python Python Drop-in TypeSafeClient replacement backed by LLM APIs 2026-09-16 High — comparison harness; see system-one-adapter: LLM-backed drop-in for TypeSafeClient
typesafe-sdk-js TypeScript JavaScript/TypeScript SDK for the TypeSafe API 2026-09-15 High — JavaScript/TypeScript SDK: install, client, choice/score/noul
typesafe-sdk-python Python Python SDK for TypeSafe AI API 2026-09-15 High — Python SDK: install, clients, system_one()
skills Agent skills for building with the TypeSafe System One API 2026-09-12 High — The typesafe-ai agent skill and Claude Code plugin
daggerverse Python Dagger modules 2026-09-09 None (internal CI/build infra)
Overwatch Python no description 2026-09-03 Unknown (no description, not ingested)
pulumi-clickhouse Go 2026-07-08 None (infra: Pulumi provider for ClickHouse)
typesafe-ai.github.io HTML 2026-06-04 None (org GitHub Pages site)
LLaDA (fork) fork 2025-06-17 Research interest only — upstream LLaDA is a diffusion-style language model
vllm (fork) fork 2025-05-23 Research/serving interest only — upstream vLLM inference engine

Only the four high-relevance repos were mirrored into raw/github/; pinned commits are recorded in raw/MANIFEST.json.

typesafe-sdk-python

Field Value
Repo https://github.com/typesafe-ai/typesafe-sdk-python
Package typesafe-sdk on PyPI, version 0.6.0 (releases seen: 0.0.1a0, 0.5.7, 0.6.0)
License MIT
Python requires-python >= 3.10 (classifiers list 3.10–3.14)
Dependencies httpx2>=2.0.0, msgspec>=0.21.1, tenacity>=9.0.0, typing-extensions>=4.13.0
Author / maintainer TypeSafe AI support@typesafe.ai / Daniel Gafni daniel@typesafe.ai
Status classifier "Development Status :: 5 - Production/Stable", "Typing :: Typed"

Install and first call, verbatim from the repo README:

uv add typesafe-sdk
from typesafe_sdk import Choice, TypeSafeClient

with TypeSafeClient() as client:
    response = client.system_one(
        state={"document": "I was charged twice. Please fix this ASAP."},
        questions={
            "category": Choice(
                instructions="What is this ticket about?",
                criteria={"billing": None, "technical": None, "other": None},
            ),
        },
    )

print(response.choices["category"].choice)

Set TYPESAFE_API_KEY in the environment first. Docs: https://docs.typesafe.ai/sdk/python/. Note there is also a typesafe-ai 0.1.0 package on PyPI that is only a redirect shim depending on typesafe-sdk; the unrelated typesafe 0.9.1 package is not TypeSafe AI's.

typesafe-sdk-js

Field Value
Repo https://github.com/typesafe-ai/typesafe-sdk-js
Package @typesafe-ai/sdk on npm, version 0.6.0 (0.5.7 on 2026-09-12, 0.6.0 on 2026-09-15)
License MIT (LICENSE: "Copyright (c) 2026 TypeSafe")
Runtime engines.node >= 20
package.json author "evinism"
Build ESM + CommonJS + TypeScript declarations; tsdown, biome, vitest
npm install @typesafe-ai/sdk
import { choice, TypeSafeClient } from "@typesafe-ai/sdk";

const client = new TypeSafeClient();
const response = await client.systemOne({
  state: { document: "I was charged twice. Please fix this ASAP." },
  questions: {
    category: choice("What is this ticket about?", {
      billing: null,
      technical: null,
      other: null,
    }),
  },
});

console.log(response.answers.category.choice);

"Answer types are inferred from your questions." Docs: https://docs.typesafe.ai/sdk/javascript/. The repo also ships a jsr.json, so a JSR publication target exists (contents not ingested).

skills

Field Value
Repo https://github.com/typesafe-ai/skills
Plugin name typesafe, version 0.5.7, marketplace owner typesafe-ai, MIT
Skill typesafe-ai — "Design TypeSafe workflows, find current docs and cookbooks, and compose typed judgments in code"
SKILL.md https://github.com/typesafe-ai/skills/blob/main/skills/typesafe-ai/SKILL.md (raw: https://raw.githubusercontent.com/typesafe-ai/skills/main/skills/typesafe-ai/SKILL.md)

Install, verbatim:

claude plugin marketplace add typesafe-ai/skills
claude plugin install typesafe@typesafe-ai
npx skills add typesafe-ai/skills --skill typesafe-ai

"Select your agent when prompted. Installation is project-local by default; add -g to install globally." In Claude Code the skill can be invoked explicitly with /typesafe:typesafe-ai. Details in The typesafe-ai agent skill and Claude Code plugin.

system-one-adapter-python

Field Value
Repo https://github.com/typesafe-ai/system-one-adapter-python
Package system-one-adapter, version 0.1.4
License MIT ("Copyright (c) 2026 TypeSafe AI")
Python >= 3.10
Dependencies msgspec>=0.19.0, tenacity>=8.0.0, typesafe-sdk>=0.6.0, typing-extensions>=4.0.0
Maintainers Erik Gafni erik@typesafe.ai, Daniel Gafni daniel@typesafe.ai

"A drop-in replacement for typesafe_sdk's system_one evaluation API, backed by LLM APIs instead of TypeSafe. Useful for comparing TypeSafe against an LLM on cost/speed/intelligence." Provider SDKs are optional extras:

pip install 'system-one-adapter[openai]'      # OpenAI-compatible providers
pip install 'system-one-adapter[anthropic]'   # native Anthropic
from system_one_adapter import SystemOneAdapterClient, Noul, Score, Choice

client = SystemOneAdapterClient(
    structured_outputs=True,
    llm_answer_mode="probabilities",
    normalize_probabilities=True,
)

response = client.system_one(
    state="This book was a delight to read.",
    questions={"positive": Noul(instructions="The book review is positive.")},
    provider="openai",
    model="gpt-4o-mini",
)

This is the same wrapper the launch blog calls the "System One LLM" wrapper used to constrain LLMs in TypeSafe's published evals. Full option table and response extensions in system-one-adapter: LLM-backed drop-in for TypeSafeClient.

Forks and infrastructure repos

Related

Sources