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@earendil-works/pi-ai

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Unified LLM API with automatic model discovery and provider configuration

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import { resolveAzureBaseUrl, resolveDeploymentName } from "../api/azure-openai-config.js"; import { azureOpenAIResponsesApi } from "../api/azure-openai-responses.lazy.js"; import { lazyStream } from "../api/lazy.js"; import { openAICompletionsApi } from "../api/openai-completions.lazy.js"; import { envApiKeyAuth } from "../auth/helpers.js"; import { createProvider } from "../models.js"; import { AZURE_MODELS } from "./azure.models.js"; function resolveAzureModel(model, options) { return { ...model, baseUrl: resolveAzureBaseUrl(model, options) }; } /** Send the deployment name as the request's model, keeping `model.id` as the catalog id. */ function withDeploymentName(model, options) { const deploymentName = resolveDeploymentName(model, options); if (deploymentName === model.id) return options; return { ...options, onPayload: async (payload, payloadModel) => { const params = { ...payload, model: deploymentName }; return (await options?.onPayload?.(params, payloadModel)) ?? params; }, }; } /** * Resolve the Azure endpoint and deployment before dispatch, inside `lazyStream` so an * unconfigured endpoint errors on the stream instead of throwing out of `stream()`. */ function azureStreams(streams) { return { stream: (model, context, options) => lazyStream(model, async () => streams.stream(resolveAzureModel(model, options), context, withDeploymentName(model, options))), streamSimple: (model, context, options) => lazyStream(model, async () => streams.streamSimple(resolveAzureModel(model, options), context, withDeploymentName(model, options))), }; } export function azureProvider() { return createProvider({ id: "azure", name: "Azure", auth: { apiKey: envApiKeyAuth("Azure OpenAI API key", ["AZURE_OPENAI_API_KEY"]) }, models: Object.values(AZURE_MODELS), api: { "azure-openai-responses": azureOpenAIResponsesApi(), "openai-completions": azureStreams(openAICompletionsApi()), }, }); } //# sourceMappingURL=azure.js.map