feat(M3-003): OpenAI provider adapter for Codex gpt-5.4 #310
@@ -47,6 +47,7 @@
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"dotenv": "^17.3.1",
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"fastify": "^5.0.0",
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"node-cron": "^4.2.1",
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"openai": "^6.32.0",
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"reflect-metadata": "^0.2.0",
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"rxjs": "^7.8.0",
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"socket.io": "^4.8.0",
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@@ -1,2 +1,3 @@
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export { OllamaAdapter } from './ollama.adapter.js';
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export { AnthropicAdapter } from './anthropic.adapter.js';
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export { OpenAIAdapter } from './openai.adapter.js';
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201
apps/gateway/src/agent/adapters/openai.adapter.ts
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201
apps/gateway/src/agent/adapters/openai.adapter.ts
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@@ -0,0 +1,201 @@
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import { Logger } from '@nestjs/common';
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import OpenAI from 'openai';
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import type { ModelRegistry } from '@mariozechner/pi-coding-agent';
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import type {
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CompletionEvent,
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CompletionParams,
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IProviderAdapter,
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ModelInfo,
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ProviderHealth,
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} from '@mosaic/types';
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/**
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* OpenAI provider adapter.
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*
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* Registers OpenAI models (including Codex gpt-5.4) with the Pi ModelRegistry.
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* Configuration is driven by environment variables:
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* OPENAI_API_KEY — OpenAI API key (required; adapter skips registration when absent)
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*/
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export class OpenAIAdapter implements IProviderAdapter {
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readonly name = 'openai';
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private readonly logger = new Logger(OpenAIAdapter.name);
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private registeredModels: ModelInfo[] = [];
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private client: OpenAI | null = null;
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/** Model ID used for Codex gpt-5.4 in the Pi registry. */
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static readonly CODEX_MODEL_ID = 'codex-gpt-5-4';
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constructor(private readonly registry: ModelRegistry) {}
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async register(): Promise<void> {
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const apiKey = process.env['OPENAI_API_KEY'];
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if (!apiKey) {
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this.logger.debug('Skipping OpenAI provider registration: OPENAI_API_KEY not set');
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return;
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}
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this.client = new OpenAI({ apiKey });
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const codexModel = {
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id: OpenAIAdapter.CODEX_MODEL_ID,
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name: 'Codex gpt-5.4',
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/** OpenAI-compatible completions API */
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api: 'openai-completions' as never,
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reasoning: false,
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input: ['text', 'image'] as ('text' | 'image')[],
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cost: { input: 0.003, output: 0.012, cacheRead: 0.0015, cacheWrite: 0 },
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contextWindow: 128_000,
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maxTokens: 16_384,
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};
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this.registry.registerProvider('openai', {
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apiKey,
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baseUrl: 'https://api.openai.com/v1',
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models: [codexModel],
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});
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this.registeredModels = [
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{
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id: OpenAIAdapter.CODEX_MODEL_ID,
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provider: 'openai',
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name: 'Codex gpt-5.4',
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reasoning: false,
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contextWindow: 128_000,
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maxTokens: 16_384,
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inputTypes: ['text', 'image'] as ('text' | 'image')[],
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cost: { input: 0.003, output: 0.012, cacheRead: 0.0015, cacheWrite: 0 },
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},
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];
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this.logger.log(`OpenAI provider registered with model: ${OpenAIAdapter.CODEX_MODEL_ID}`);
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}
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listModels(): ModelInfo[] {
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return this.registeredModels;
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}
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async healthCheck(): Promise<ProviderHealth> {
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const apiKey = process.env['OPENAI_API_KEY'];
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if (!apiKey) {
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return {
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status: 'down',
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lastChecked: new Date().toISOString(),
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error: 'OPENAI_API_KEY not configured',
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};
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}
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const start = Date.now();
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try {
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// Lightweight call — list models to verify key validity
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const res = await fetch('https://api.openai.com/v1/models', {
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method: 'GET',
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headers: {
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Authorization: `Bearer ${apiKey}`,
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'Content-Type': 'application/json',
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},
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signal: AbortSignal.timeout(5000),
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});
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const latencyMs = Date.now() - start;
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if (!res.ok) {
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return {
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status: 'degraded',
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latencyMs,
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lastChecked: new Date().toISOString(),
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error: `HTTP ${res.status}`,
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};
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}
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return { status: 'healthy', latencyMs, lastChecked: new Date().toISOString() };
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} catch (err) {
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const latencyMs = Date.now() - start;
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const error = err instanceof Error ? err.message : String(err);
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return { status: 'down', latencyMs, lastChecked: new Date().toISOString(), error };
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}
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}
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/**
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* Stream a completion from OpenAI using the chat completions API.
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*
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* Maps OpenAI streaming chunks to the Mosaic CompletionEvent format.
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*/
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async *createCompletion(params: CompletionParams): AsyncIterable<CompletionEvent> {
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if (!this.client) {
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throw new Error(
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'OpenAIAdapter: client not initialized. ' +
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'Ensure OPENAI_API_KEY is set and register() was called.',
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);
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}
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const stream = await this.client.chat.completions.create({
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model: params.model,
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messages: params.messages.map((m) => ({
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role: m.role,
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content: m.content,
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})),
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...(params.temperature !== undefined && { temperature: params.temperature }),
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...(params.maxTokens !== undefined && { max_tokens: params.maxTokens }),
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...(params.tools &&
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params.tools.length > 0 && {
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tools: params.tools.map((t) => ({
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type: 'function' as const,
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function: {
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name: t.name,
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description: t.description,
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parameters: t.parameters,
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},
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})),
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}),
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stream: true,
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stream_options: { include_usage: true },
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});
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let inputTokens = 0;
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let outputTokens = 0;
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for await (const chunk of stream) {
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const choice = chunk.choices[0];
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// Accumulate usage when present (final chunk with stream_options.include_usage)
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if (chunk.usage) {
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inputTokens = chunk.usage.prompt_tokens;
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outputTokens = chunk.usage.completion_tokens;
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}
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if (!choice) continue;
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const delta = choice.delta;
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// Text content delta
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if (delta.content) {
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yield { type: 'text_delta', content: delta.content };
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}
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// Tool call delta — emit when arguments are complete
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if (delta.tool_calls) {
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for (const toolCallDelta of delta.tool_calls) {
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if (toolCallDelta.function?.name && toolCallDelta.function.arguments !== undefined) {
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yield {
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type: 'tool_call',
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name: toolCallDelta.function.name,
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arguments: toolCallDelta.function.arguments,
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};
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}
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}
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}
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// Stream finished
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if (choice.finish_reason === 'stop' || choice.finish_reason === 'tool_calls') {
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yield {
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type: 'done',
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usage: { inputTokens, outputTokens },
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};
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return;
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}
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}
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// Fallback done event when stream ends without explicit finish_reason
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yield { type: 'done', usage: { inputTokens, outputTokens } };
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}
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}
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@@ -8,7 +8,7 @@ import type {
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ProviderHealth,
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ProviderInfo,
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} from '@mosaic/types';
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import { AnthropicAdapter, OllamaAdapter } from './adapters/index.js';
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import { AnthropicAdapter, OllamaAdapter, OpenAIAdapter } from './adapters/index.js';
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import type { TestConnectionResultDto } from './provider.dto.js';
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/** Default health check interval in seconds */
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@@ -42,7 +42,11 @@ export class ProviderService implements OnModuleInit, OnModuleDestroy {
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this.registry = new ModelRegistry(authStorage);
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// Build the default set of adapters that rely on the registry
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this.adapters = [new OllamaAdapter(this.registry), new AnthropicAdapter(this.registry)];
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this.adapters = [
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new OllamaAdapter(this.registry),
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new AnthropicAdapter(this.registry),
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new OpenAIAdapter(this.registry),
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];
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// Run all adapter registrations first (Ollama, Anthropic, and any future adapters)
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await this.registerAll();
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20
pnpm-lock.yaml
generated
20
pnpm-lock.yaml
generated
@@ -146,6 +146,9 @@ importers:
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node-cron:
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specifier: ^4.2.1
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version: 4.2.1
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openai:
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specifier: ^6.32.0
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version: 6.32.0(ws@8.19.0)(zod@4.3.6)
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reflect-metadata:
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specifier: ^0.2.0
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version: 0.2.2
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@@ -4891,6 +4894,18 @@ packages:
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zod:
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optional: true
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openai@6.32.0:
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resolution: {integrity: sha512-j3k+BjydAf8yQlcOI7WUQMQTbbF5GEIMAE2iZYCOzwwB3S2pCheaWYp+XZRNAch4jWVc52PMDGRRjutao3lLCg==}
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hasBin: true
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peerDependencies:
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ws: ^8.18.0
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zod: ^3.25 || ^4.0
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peerDependenciesMeta:
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ws:
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optional: true
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zod:
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optional: true
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optionator@0.9.4:
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resolution: {integrity: sha512-6IpQ7mKUxRcZNLIObR0hz7lxsapSSIYNZJwXPGeF0mTVqGKFIXj1DQcMoT22S3ROcLyY/rz0PWaWZ9ayWmad9g==}
|
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engines: {node: '>= 0.8.0'}
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@@ -10639,6 +10654,11 @@ snapshots:
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ws: 8.19.0
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zod: 4.3.6
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openai@6.32.0(ws@8.19.0)(zod@4.3.6):
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optionalDependencies:
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ws: 8.19.0
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zod: 4.3.6
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optionator@0.9.4:
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dependencies:
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deep-is: 0.1.4
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