import { AzureOpenAI } from "openai";
import type { ResponseCreateParamsStreaming } from "openai/resources/responses/responses.js";
import { getEnvApiKey } from "../env-api-keys.js";
import { clampThinkingLevel } from "../models.js";
import type {
Api,
AssistantMessage,
Context,
Model,
SimpleStreamOptions,
StreamFunction,
StreamOptions,
} from "../types.js";
import { AssistantMessageEventStream } from "../utils/event-stream.js";
import { headersToRecord } from "../utils/headers.js";
import {
formatStreamFailureMessage,
recordStreamFailure,
streamFailureFromStopReason,
} from "../utils/stream-failure.js";
import { convertResponsesMessages, convertResponsesTools, processResponsesStream } from "./openai-responses-shared.js";
import { buildBaseOptions } from "./simple-options.js";
const DEFAULT_AZURE_API_VERSION = "v1";
const AZURE_TOOL_CALL_PROVIDERS = new Set(["openai", "openai-codex", "opencode", "azure-openai-responses"]);
function parseDeploymentNameMap(value: string | undefined): Map<string, string> {
const map = new Map<string, string>();
if (!value) return map;
for (const entry of value.split(",")) {
const trimmed = entry.trim();
if (!trimmed) continue;
const [modelId, deploymentName] = trimmed.split("=", 2);
if (!modelId || !deploymentName) continue;
map.set(modelId.trim(), deploymentName.trim());
}
return map;
}
function resolveDeploymentName(model: Model<"azure-openai-responses">, options?: AzureOpenAIResponsesOptions): string {
if (options?.azureDeploymentName) {
return options.azureDeploymentName;
}
const mappedDeployment = parseDeploymentNameMap(process.env.AZURE_OPENAI_DEPLOYMENT_NAME_MAP).get(model.id);
return mappedDeployment || model.id;
}
export interface AzureOpenAIResponsesOptions extends StreamOptions {
reasoningEffort?: "minimal" | "low" | "medium" | "high" | "xhigh" | "max";
reasoningSummary?: "auto" | "detailed" | "concise" | null;
azureApiVersion?: string;
azureResourceName?: string;
azureBaseUrl?: string;
azureDeploymentName?: string;
}
export const streamAzureOpenAIResponses: StreamFunction<"azure-openai-responses", AzureOpenAIResponsesOptions> = (
model: Model<"azure-openai-responses">,
context: Context,
options?: AzureOpenAIResponsesOptions,
): AssistantMessageEventStream => {
const stream = new AssistantMessageEventStream();
(async () => {
const deploymentName = resolveDeploymentName(model, options);
const output: AssistantMessage = {
role: "assistant",
content: [],
api: "azure-openai-responses" as Api,
provider: model.provider,
model: model.id,
usage: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
totalTokens: 0,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
},
stopReason: "stop",
timestamp: Date.now(),
};
try {
const apiKey = options?.apiKey || getEnvApiKey(model.provider) || "";
const client = createClient(model, apiKey, options);
let params = buildParams(model, context, options, deploymentName);
const nextParams = await options?.onPayload?.(params, model);
if (nextParams !== undefined) {
params = nextParams as ResponseCreateParamsStreaming;
}
const requestOptions = {
...(options?.signal ? { signal: options.signal } : {}),
...(options?.timeoutMs !== undefined ? { timeout: options.timeoutMs } : {}),
...(options?.maxRetries !== undefined ? { maxRetries: options.maxRetries } : {}),
};
const { data: openaiStream, response } = await client.responses.create(params, requestOptions).withResponse();
await options?.onResponse?.({ status: response.status, headers: headersToRecord(response.headers) }, model);
const requestId = response.headers.get("x-request-id") ?? undefined;
stream.push({ type: "start", partial: output });
await processResponsesStream(openaiStream, output, stream, model);
if (options?.signal?.aborted) {
throw new Error("Request was aborted");
}
if (output.stopReason === "aborted" || output.stopReason === "error") {
throw streamFailureFromStopReason(output.stopReasonRaw, { requestId });
}
stream.push({ type: "done", reason: output.stopReason, message: output });
stream.end();
} catch (error) {
for (const block of output.content) {
delete (block as { index?: number }).index;
// partialJson is only a streaming scratch buffer; never persist it.
delete (block as { partialJson?: string }).partialJson;
}
output.stopReason = options?.signal?.aborted ? "aborted" : "error";
output.errorMessage = formatStreamFailureMessage(error);
recordStreamFailure(model, output, error);
stream.push({ type: "error", reason: output.stopReason, error: output });
stream.end();
}
})();
return stream;
};
export const streamSimpleAzureOpenAIResponses: StreamFunction<"azure-openai-responses", SimpleStreamOptions> = (
model: Model<"azure-openai-responses">,
context: Context,
options?: SimpleStreamOptions,
): AssistantMessageEventStream => {
const apiKey = options?.apiKey || getEnvApiKey(model.provider);
if (!apiKey) {
throw new Error(`No API key for provider: ${model.provider}`);
}
const base = buildBaseOptions(model, options, apiKey);
const clampedReasoning = options?.reasoning ? clampThinkingLevel(model, options.reasoning) : undefined;
const reasoningEffort = clampedReasoning === "off" ? undefined : clampedReasoning;
return streamAzureOpenAIResponses(model, context, {
...base,
reasoningEffort,
} satisfies AzureOpenAIResponsesOptions);
};
function normalizeAzureBaseUrl(baseUrl: string): string {
const trimmed = baseUrl.trim().replace(/\/+$/, "");
let url: URL;
try {
url = new URL(trimmed);
} catch {
throw new Error(`Invalid Azure OpenAI base URL: ${baseUrl}`);
}
const isAzureHost =
url.hostname.endsWith(".openai.azure.com") || url.hostname.endsWith(".cognitiveservices.azure.com");
const normalizedPath = url.pathname.replace(/\/+$/, "");
// Ensure Azure hosts have /openai/v1 as base path so the AzureOpenAI SDK
// can append /deployments/<model>/... and ?api-version=v1 correctly.
if (isAzureHost && (normalizedPath === "" || normalizedPath === "/" || normalizedPath === "/openai")) {
url.pathname = "/openai/v1";
url.search = "";
}
return url.toString().replace(/\/+$/, "");
}
function buildDefaultBaseUrl(resourceName: string): string {
return `https://${resourceName}.openai.azure.com/openai/v1`;
}
function resolveAzureConfig(
model: Model<"azure-openai-responses">,
options?: AzureOpenAIResponsesOptions,
): { baseUrl: string; apiVersion: string } {
const apiVersion = options?.azureApiVersion || process.env.AZURE_OPENAI_API_VERSION || DEFAULT_AZURE_API_VERSION;
const baseUrl = options?.azureBaseUrl?.trim() || process.env.AZURE_OPENAI_BASE_URL?.trim() || undefined;
const resourceName = options?.azureResourceName || process.env.AZURE_OPENAI_RESOURCE_NAME;
let resolvedBaseUrl = baseUrl;
if (!resolvedBaseUrl && resourceName) {
resolvedBaseUrl = buildDefaultBaseUrl(resourceName);
}
if (!resolvedBaseUrl && model.baseUrl) {
resolvedBaseUrl = model.baseUrl;
}
if (!resolvedBaseUrl) {
throw new Error(
"Azure OpenAI base URL is required. Set AZURE_OPENAI_BASE_URL or AZURE_OPENAI_RESOURCE_NAME, or pass azureBaseUrl, azureResourceName, or model.baseUrl.",
);
}
return {
baseUrl: normalizeAzureBaseUrl(resolvedBaseUrl),
apiVersion,
};
}
function createClient(model: Model<"azure-openai-responses">, apiKey: string, options?: AzureOpenAIResponsesOptions) {
if (!apiKey) {
if (!process.env.AZURE_OPENAI_API_KEY) {
throw new Error(
"Azure OpenAI API key is required. Set AZURE_OPENAI_API_KEY environment variable or pass it as an argument.",
);
}
apiKey = process.env.AZURE_OPENAI_API_KEY;
}
const headers = { ...model.headers };
if (options?.headers) {
Object.assign(headers, options.headers);
}
const { baseUrl, apiVersion } = resolveAzureConfig(model, options);
return new AzureOpenAI({
apiKey,
apiVersion,
dangerouslyAllowBrowser: true,
defaultHeaders: headers,
baseURL: baseUrl,
});
}
function buildParams(
model: Model<"azure-openai-responses">,
context: Context,
options: AzureOpenAIResponsesOptions | undefined,
deploymentName: string,
) {
const messages = convertResponsesMessages(model, context, AZURE_TOOL_CALL_PROVIDERS);
const params: ResponseCreateParamsStreaming = {
model: deploymentName,
input: messages,
stream: true,
prompt_cache_key: options?.sessionId,
};
if (options?.maxTokens) {
params.max_output_tokens = options?.maxTokens;
}
if (options?.temperature !== undefined) {
params.temperature = options?.temperature;
}
if (context.tools && context.tools.length > 0) {
params.tools = convertResponsesTools(context.tools);
}
if (model.reasoning) {
if (options?.reasoningEffort || options?.reasoningSummary) {
const effort = options?.reasoningEffort
? (model.thinkingLevelMap?.[options.reasoningEffort] ?? options.reasoningEffort)
: "medium";
params.reasoning = {
effort: effort as NonNullable<typeof params.reasoning>["effort"],
summary: options?.reasoningSummary || "auto",
};
params.include = ["reasoning.encrypted_content"];
} else if (model.thinkingLevelMap?.off !== null) {
params.reasoning = {
effort: (model.thinkingLevelMap?.off ?? "none") as NonNullable<typeof params.reasoning>["effort"],
};
}
}
return params;
}