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@intx/inference

v0.5.0

Published

Provider-agnostic inference runtime with Anthropic, OpenAI, and Google GenAI adapters

Readme

@intx/inference

Provider-agnostic inference runtime. Adapters for Anthropic, OpenAI-compatible relays (including OpenCode Zen), and Google GenAI; SSE parsing; retry and error classification; message transforms; and the reactor harness that drives a turn from prompt to settled tool calls.

Consumed by @intx/harness, which composes the reactor with tool runners, directors, and runtime capabilities.

Hosts that only load adapter configuration can import loadAdapterFactories from @intx/inference/manifest without loading the reactor and inference assembly. The AdapterManifest schema lives in @intx/types/adapter-manifest.

import { createReactorAssembly, createDefaultDirector } from "@intx/inference";

const director = createDefaultDirector(
  systemPrompt,
  toolDefinitions, // ToolDefinition[] — the tool surface advertised to the model
  policy,
);

const assembly = createReactorAssembly({
  sessionId,
  director,
  source, // InferenceSource: id, provider, model, apiKey, baseURL
  toolRunner, // ToolRunner — dispatches the tool calls the director emits
  contextStore,
  onEvent: (event) => {
    // event: ReactorEmittedEvent — persist or forward
  },
});

assembly.reactor.start();

Provider selection is driven by source.provider; the assembly resolves the matching adapter internally. ReactorAssemblyConfig in src/assembly.ts documents the optional fields (authorize, auditStore, transforms, compactors, correlation, gate timeouts).

The package is the lower half of the agent stack: it knows how to talk to model providers, how to drive a multi-turn exchange to completion, and how to compose extensions (gates, audit, correlation, authz) into the reactor pipeline. The higher-level agent surface — config validation, tool runners, deploy trees, runtime capabilities — lives in @intx/harness.