experiment(confidence-engine): add openai provider apparatus
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@@ -12,6 +12,14 @@ export function getProvider() {
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return new OllamaLlmProvider();
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}
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/**
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* Experiment-only construction seam. Production provider selection remains Ollama.
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* @param {{ apiKey?: string, fetchImpl?: typeof fetch }} [options]
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*/
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export function createOpenAIReconstructionProvider(options = {}) {
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return new OpenAIReconstructionProvider(options);
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}
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function recoverJson(raw) {
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if (typeof raw !== "string") return raw;
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const trimmed = raw.trim();
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@@ -294,3 +302,56 @@ class OllamaLlmProvider {
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}
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}
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}
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class OpenAIReconstructionProvider {
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constructor({ apiKey = process.env.OPENAI_API_KEY, fetchImpl = fetch } = {}) {
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this.apiKey = apiKey;
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this.fetchImpl = fetchImpl;
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}
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async generateReconstruction(prompt, modelName = "gpt-5.6-terra") {
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if (!this.apiKey) throw new Error("OPENAI_API_KEY is not set");
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const response = await this.fetchImpl("https://api.openai.com/v1/responses", {
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method: "POST",
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headers: {
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Authorization: `Bearer ${this.apiKey}`,
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"Content-Type": "application/json",
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},
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body: JSON.stringify({
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model: modelName,
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input: prompt,
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text: {
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format: {
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type: "json_schema",
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name: "reconstruction",
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strict: true,
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schema: reconstructionJsonSchema,
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},
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},
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}),
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});
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if (!response.ok) {
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const body = await response.text();
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const error = new Error(
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`OpenAI Responses API returned ${response.status}: ${body}`,
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);
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error.providerApiPath = "/v1/responses";
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throw error;
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}
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const data = await response.json();
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const outputText = data.output_text;
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if (typeof outputText !== "string") {
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const error = new Error("OpenAI Responses API returned no output_text");
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error.providerApiPath = "/v1/responses";
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throw error;
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}
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return {
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response: recoverJson(outputText),
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providerApiPath: "/v1/responses",
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};
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}
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}
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