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@texoport/effect-ai-codex

v0.1.2

Published

Effect AI LanguageModel provider for your ChatGPT Codex subscription.

Readme

@texoport/effect-ai-codex

This lets an Effect AI program use the codex CLI that is already logged in on your machine. It uses your existing ChatGPT Codex session, so there is no OpenAI API key to set up alongside it.

You need ChatGPT Plus or Pro, codex on PATH, and an active login:

codex login

Install

pnpm add @texoport/effect-ai-codex [email protected] @effect/[email protected]

Ask Codex something

model gives Effect AI a normal LanguageModel layer. Your application talks to LanguageModel and this package runs codex exec underneath.

import { NodeRuntime, NodeServices } from "@effect/platform-node"
import * as CodexLanguageModel from "@texoport/effect-ai-codex"
import { Effect } from "effect"
import { LanguageModel } from "effect/unstable/ai"

const program = Effect.gen(function* () {
  const response = yield* LanguageModel.generateText({
    prompt: "Explain what a semaphore does in two sentences."
  })

  console.log(response.text)
}).pipe(
  Effect.provide(CodexLanguageModel.model()),
  Effect.provide(NodeServices.layer)
)

NodeRuntime.runMain(program)

Tools and sandboxing

Tool calls use Codex's app server, while plain text calls use codex exec. Your Effect Toolkit handlers run in your Node process. The Codex sandbox defaults to read-only, which is the sensible default for a library call. Choose a broader sandbox only when the model needs it.

CodexLanguageModel.model(undefined, {
  sandbox: "workspace-write"
})

Configuration

bin points at a different Codex executable. cwd changes the CLI working directory. timeout defaults to five minutes. extraArgs passes flags through to Codex.

License

MIT