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@openai/codex-sdk
Advanced tools
Embed the Codex agent in your workflows and apps.
The TypeScript SDK wraps the codex CLI from @openai/codex. It spawns the CLI and exchanges JSONL events over stdin/stdout.
npm install @openai/codex-sdk
Requires Node.js 18+.
import { Codex } from "@openai/codex-sdk";
const codex = new Codex();
const thread = codex.startThread();
const turn = await thread.run("Diagnose the test failure and propose a fix");
console.log(turn.finalResponse);
console.log(turn.items);
Call run() repeatedly on the same Thread instance to continue that conversation.
const nextTurn = await thread.run("Implement the fix");
run() buffers events until the turn finishes. To react to intermediate progress—tool calls, streaming responses, and file change notifications—use runStreamed() instead, which returns an async generator of structured events.
const { events } = await thread.runStreamed("Diagnose the test failure and propose a fix");
for await (const event of events) {
switch (event.type) {
case "item.completed":
console.log("item", event.item);
break;
case "turn.completed":
console.log("usage", event.usage);
break;
}
}
The Codex agent can produce a JSON response that conforms to a specified schema. The schema can be provided for each turn as a plain JSON object.
const schema = {
type: "object",
properties: {
summary: { type: "string" },
status: { type: "string", enum: ["ok", "action_required"] },
},
required: ["summary", "status"],
additionalProperties: false,
} as const;
const turn = await thread.run("Summarize repository status", { outputSchema: schema });
console.log(turn.finalResponse);
You can also create a JSON schema from a Zod schema using the zod-to-json-schema package and setting the target to "openAi".
const schema = z.object({
summary: z.string(),
status: z.enum(["ok", "action_required"]),
});
const turn = await thread.run("Summarize repository status", {
outputSchema: zodToJsonSchema(schema, { target: "openAi" }),
});
console.log(turn.finalResponse);
Provide structured input entries when you need to include images alongside text. Text entries are concatenated into the final prompt while image entries are passed to the Codex CLI via --image.
const turn = await thread.run([
{ type: "text", text: "Describe these screenshots" },
{ type: "local_image", path: "./ui.png" },
{ type: "local_image", path: "./diagram.jpg" },
]);
Threads are persisted in ~/.codex/sessions. If you lose the in-memory Thread object, reconstruct it with resumeThread() and keep going.
const savedThreadId = process.env.CODEX_THREAD_ID!;
const thread = codex.resumeThread(savedThreadId);
await thread.run("Implement the fix");
Codex runs in the current working directory by default. To avoid unrecoverable errors, Codex requires the working directory to be a Git repository. You can skip the Git repository check by passing the skipGitRepoCheck option when creating a thread.
const thread = codex.startThread({
workingDirectory: "/path/to/project",
skipGitRepoCheck: true,
});
By default, the Codex CLI inherits the Node.js process environment. Provide the optional env parameter when instantiating the
Codex client to fully control which variables the CLI receives—useful for sandboxed hosts like Electron apps.
const codex = new Codex({
env: {
PATH: "/usr/local/bin",
},
});
The SDK still injects its required variables (such as CODEX_API_KEY) on top of the environment you provide. If you set
baseUrl, the SDK passes it as a --config openai_base_url=... override.
--config overridesUse the config option to provide additional Codex CLI configuration overrides. The SDK accepts a JSON object, flattens it
into dotted paths, and serializes values as TOML literals before passing them as repeated --config key=value flags.
const codex = new Codex({
config: {
show_raw_agent_reasoning: true,
sandbox_workspace_write: { network_access: true },
},
});
Thread options still take precedence for overlapping settings because they are emitted after these global overrides.
FAQs
TypeScript SDK for Codex APIs.
The npm package @openai/codex-sdk receives a total of 1,034,840 weekly downloads. As such, @openai/codex-sdk popularity was classified as popular.
We found that @openai/codex-sdk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 18 open source maintainers collaborating on the project.

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