/**
 * OTEL conventions for gen AI may be found at:
 *
 * https://opentelemetry.io/docs/specs/semconv/gen-ai/gen-ai-spans/
 * https://opentelemetry.io/docs/specs/semconv/gen-ai/gen-ai-agent-spans/
 */

import {
  context as contextApi,
  propagation,
  trace,
  type Context,
  type Span,
  type Tracer,
  type TracerProvider,
  SpanStatusCode,
} from "@opentelemetry/api";
import * as semConvAttributes from "@opentelemetry/semantic-conventions/incubating";

import {
  formatInputMessage,
  formatOutputMessage,
  formatToolDefinition,
} from "./formatting.js";
import { getRegisteredTracerProvider } from "./provider.js";
import { accumulateChunksToResponseDict, parseSseChunks } from "./streaming.js";

export type { Context, Span, Tracer };
export { semConvAttributes };
export { getRegisteredTracerProvider, registerTracerProvider } from "./provider.js";

export const OTEL_SERVICE_NAME = "mistralai_sdk";
export const MISTRAL_SDK_OTEL_TRACER_NAME = `${OTEL_SERVICE_NAME}_tracer`;
const MISTRAL_AGENT_TRACE_PUBLIC_ATTRIBUTE = "agent.trace.public";

// Safe check for environment variable in both Node.js and browser
const getDebugTracing = (): boolean => {
  try {
    if (typeof globalThis !== "undefined" && "process" in globalThis) {
      const proc = (globalThis as { process?: { env?: Record<string, string> } }).process;
      return proc?.env?.["MISTRAL_SDK_DEBUG_TRACING"]?.toLowerCase() === "true";
    }
  } catch {
    // Ignore
  }
  return false;
};
const MISTRAL_SDK_DEBUG_TRACING = getDebugTracing();
const DEBUG_HINT = "To see detailed tracing logs, set MISTRAL_SDK_DEBUG_TRACING=true.";

export const MistralAIAttributes = {
  MISTRAL_AI_OCR_USAGE_PAGES_PROCESSED: "mistral_ai.ocr.usage.pages_processed",
  MISTRAL_AI_OCR_USAGE_DOC_SIZE_BYTES: "mistral_ai.ocr.usage.doc_size_bytes",
  MISTRAL_AI_ERROR_CODE: "mistral_ai.error.code",
} as const;

export const TracingErrors = {
  FAILED_TO_CREATE_SPAN_FOR_REQUEST: "Failed to create span for request.",
  FAILED_TO_ENRICH_SPAN_WITH_RESPONSE: "Failed to enrich span with response.",
  FAILED_TO_HANDLE_ERROR_IN_SPAN: "Failed to handle error in span.",
  FAILED_TO_END_SPAN: "Failed to end span.",
} as const;

function parseTimeToMillis(ts: string): number {
  return new Date(ts).getTime();
}

function inferGenAiOperationName(operationId: string): string | null {
  if (operationId.includes("chat_completion") || operationId === "stream_chat") {
    return semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_CHAT;
  }
  if (
    (operationId.includes("agents_create") || operationId.includes("agents_update")) &&
    !operationId.includes("alias")
  ) {
    return semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_CREATE_AGENT;
  }
  if (operationId.includes("agents_completion") || operationId === "stream_agents") {
    return semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_INVOKE_AGENT;
  }
  if (
    operationId.includes("conversations") &&
    (operationId.includes("start") ||
      operationId.includes("append") ||
      operationId.includes("restart"))
  ) {
    return semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_INVOKE_AGENT;
  }
  if (operationId.includes("fim")) {
    return semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_TEXT_COMPLETION;
  }
  if (operationId.includes("embeddings")) {
    return semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_EMBEDDINGS;
  }
  if (operationId.includes("ocr_post")) {
    return semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_GENERATE_CONTENT;
  }
  return null;
}

function isKnownGenAiOperation(operationId: string): boolean {
  return inferGenAiOperationName(operationId) !== null;
}

function isJsonContentType(contentType: string | null): boolean {
  const mediaType = contentType?.split(";")[0]?.trim().toLowerCase();
  return mediaType === "application/json" ||
    mediaType === "text/json" ||
    mediaType?.endsWith("+json") === true;
}

function buildGenaiSpanName(
  genAiOp: string,
  body: Record<string, unknown>
): string {
  if (
    genAiOp === semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_CREATE_AGENT ||
    genAiOp === semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_INVOKE_AGENT
  ) {
    const agentName = body["name"] as string | undefined;
    return agentName ? `${genAiOp} ${agentName}` : genAiOp;
  }
  if (genAiOp === semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_EXECUTE_TOOL) {
    const toolName = body["name"] as string | undefined;
    return toolName ? `${genAiOp} ${toolName}` : genAiOp;
  }
  const model = body["model"] as string | undefined;
  return model ? `${genAiOp} ${model}` : genAiOp;
}

function setAvailableAttributes(span: Span, attributes: Record<string, unknown>): void {
  for (const [key, value] of Object.entries(attributes)) {
    if (value != null && value !== "") {
      span.setAttribute(key, value as string | number | boolean);
    }
  }
}

function setMistralAgentTraceMarker(span: Span): void {
  // Mistral-internal marker consumed by downstream trace processors.
  span.setAttribute(MISTRAL_AGENT_TRACE_PUBLIC_ATTRIBUTE, "");
}

function setHttpAttributes(
  span: Span,
  url: URL,
  method: string,
  host: string
): void {
  let port = url.port ? parseInt(url.port, 10) : -1;
  if (port === -1) {
    if (url.protocol === "https:") {
      port = 443;
    } else if (url.protocol === "http:") {
      port = 80;
    }
  }

  span.setAttributes({
    [semConvAttributes.ATTR_HTTP_REQUEST_METHOD]: method,
    [semConvAttributes.ATTR_URL_FULL]: url.toString(),
    [semConvAttributes.ATTR_SERVER_ADDRESS]: host,
    [semConvAttributes.ATTR_SERVER_PORT]: port,
  });
}

function enrichRequestGenaiAttrs(
  span: Span,
  genAiOp: string,
  requestBody: Record<string, unknown>
): void {
  span.updateName(buildGenaiSpanName(genAiOp, requestBody));

  const attributes: Record<string, unknown> = {
    [semConvAttributes.ATTR_GEN_AI_REQUEST_CHOICE_COUNT]: requestBody["n"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_ENCODING_FORMATS]: requestBody["encoding_formats"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_FREQUENCY_PENALTY]: requestBody["frequency_penalty"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_MAX_TOKENS]: requestBody["max_tokens"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_MODEL]: requestBody["model"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_PRESENCE_PENALTY]: requestBody["presence_penalty"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_SEED]: requestBody["random_seed"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_STOP_SEQUENCES]: requestBody["stop"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_TEMPERATURE]: requestBody["temperature"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_TOP_P]: requestBody["top_p"],
    [semConvAttributes.ATTR_GEN_AI_REQUEST_TOP_K]: requestBody["top_k"],
  };

  const inputMessages = (requestBody["messages"] || requestBody["inputs"]) as
    | string
    | Array<Record<string, unknown>>
    | undefined;
  if (typeof inputMessages === "string") {
    attributes[semConvAttributes.ATTR_GEN_AI_INPUT_MESSAGES] = JSON.stringify([
      formatInputMessage({ role: "user", content: inputMessages }),
    ]);
  } else if (Array.isArray(inputMessages)) {
    attributes[semConvAttributes.ATTR_GEN_AI_INPUT_MESSAGES] = JSON.stringify(
      inputMessages.map((msg) => formatInputMessage(msg))
    );
  }

  const tools = requestBody["tools"] as Array<Record<string, unknown>> | undefined;
  if (tools) {
    const formattedTools = tools
      .map((tool) => formatToolDefinition(tool))
      .filter((t): t is Record<string, unknown> => t !== null);
    if (formattedTools.length > 0) {
      attributes[semConvAttributes.ATTR_GEN_AI_TOOL_DEFINITIONS] = JSON.stringify(formattedTools);
    }
  }

  // TODO: For agent start conversation, add agent id and version attributes here ?

  setAvailableAttributes(span, attributes);
}

export function enrichSpanFromRequest(
  span: Span,
  operationId: string,
  url: URL,
  method: string,
  host: string,
  body: string | null
): Span {
  setHttpAttributes(span, url, method, host);

  const genAiOp = inferGenAiOperationName(operationId);
  if (genAiOp === null) {
    return span;
  }

  span.setAttributes({
    [semConvAttributes.ATTR_GEN_AI_OPERATION_NAME]: genAiOp,
    [semConvAttributes.ATTR_GEN_AI_PROVIDER_NAME]: semConvAttributes.GEN_AI_PROVIDER_NAME_VALUE_MISTRAL_AI,
  });

  if (body) {
    try {
      const requestBody = JSON.parse(body) as Record<string, unknown>;
      enrichRequestGenaiAttrs(span, genAiOp, requestBody);
    } catch {
      // Ignore parse errors
    }
  }

  return span;
}

function enrichResponseGenaiAttrs(
  span: Span,
  genAiOp: string,
  responseData: Record<string, unknown>
): void {
  const attributes: Record<string, unknown> = {};

  if (genAiOp !== semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_CREATE_AGENT) {
    attributes[semConvAttributes.ATTR_GEN_AI_RESPONSE_ID] = responseData["id"];
  }
  attributes[semConvAttributes.ATTR_GEN_AI_RESPONSE_MODEL] = responseData["model"];

  const choices = (responseData["choices"] || []) as Array<Record<string, unknown>>;
  const finishReasons = choices
    .map((c) => c["finish_reason"] as string | undefined)
    .filter((r): r is string => !!r);
  if (finishReasons.length > 0) {
    attributes[semConvAttributes.ATTR_GEN_AI_RESPONSE_FINISH_REASONS] = finishReasons;
  }
  if (choices.length > 0) {
    attributes[semConvAttributes.ATTR_GEN_AI_OUTPUT_MESSAGES] = JSON.stringify(
      choices.map((choice) => formatOutputMessage(choice))
    );
  }

  const usage = responseData["usage"] as Record<string, number> | undefined;
  if (usage) {
    attributes[semConvAttributes.ATTR_GEN_AI_USAGE_INPUT_TOKENS] = usage["prompt_tokens"] || 0;
    attributes[semConvAttributes.ATTR_GEN_AI_USAGE_OUTPUT_TOKENS] = usage["completion_tokens"] || 0;
  }

  setAvailableAttributes(span, attributes);
}

function enrichCreateAgent(span: Span, responseData: Record<string, unknown>): void {
  const agentAttributes: Record<string, unknown> = {
    [semConvAttributes.ATTR_GEN_AI_AGENT_DESCRIPTION]: responseData["description"],
    [semConvAttributes.ATTR_GEN_AI_AGENT_ID]: responseData["id"],
    [semConvAttributes.ATTR_GEN_AI_AGENT_NAME]: responseData["name"],
    "gen_ai.agent.version": String(responseData["version"]),
    [semConvAttributes.ATTR_GEN_AI_REQUEST_MODEL]: responseData["model"],
    [semConvAttributes.ATTR_GEN_AI_SYSTEM_INSTRUCTIONS]: responseData["instructions"],
  };
  setAvailableAttributes(span, agentAttributes);
}

function stringifyToolAttribute(value: unknown): string | null {
  if (typeof value === "string") {
    return value;
  }
  if (value) {
    return JSON.stringify(value);
  }
  return null;
}

function createToolExecutionChildSpan(
  tracer: Tracer,
  parentContext: ReturnType<typeof contextApi.active>,
  output: Record<string, unknown>
): void {
  const startMs = parseTimeToMillis(output["created_at"] as string);
  const endMs = parseTimeToMillis(output["completed_at"] as string);
  const opName = semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_EXECUTE_TOOL;
  const spanName = buildGenaiSpanName(opName, output);
  const childSpan = tracer.startSpan(spanName, { startTime: startMs }, parentContext);
  setMistralAgentTraceMarker(childSpan);

  const toolArguments = output["arguments"];
  const toolResult = output["info"];
  const toolAttributes: Record<string, unknown> = {
    [semConvAttributes.ATTR_GEN_AI_OPERATION_NAME]: opName,
    [semConvAttributes.ATTR_GEN_AI_PROVIDER_NAME]: semConvAttributes.GEN_AI_PROVIDER_NAME_VALUE_MISTRAL_AI,
    [semConvAttributes.ATTR_GEN_AI_TOOL_CALL_ID]: output["id"],
    [semConvAttributes.ATTR_GEN_AI_TOOL_CALL_ARGUMENTS]: stringifyToolAttribute(toolArguments),
    [semConvAttributes.ATTR_GEN_AI_TOOL_CALL_RESULT]: stringifyToolAttribute(toolResult),
    [semConvAttributes.ATTR_GEN_AI_TOOL_NAME]: output["name"],
    [semConvAttributes.ATTR_GEN_AI_TOOL_TYPE]: "extension",
  };
  setAvailableAttributes(childSpan, toolAttributes);
  childSpan.end(endMs);
}

function createMessageOutputChildSpan(
  tracer: Tracer,
  parentContext: ReturnType<typeof contextApi.active>,
  output: Record<string, unknown>
): void {
  const startMs = parseTimeToMillis(output["created_at"] as string);
  const endMs = parseTimeToMillis(output["completed_at"] as string);
  const opName = semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_CHAT;
  const spanName = buildGenaiSpanName(opName, output);
  const childSpan = tracer.startSpan(spanName, { startTime: startMs }, parentContext);
  setMistralAgentTraceMarker(childSpan);

  const choiceWrapper = {
    message: output,
    finish_reason: (output["finish_reason"] as string) || "",
  };
  const messageAttributes: Record<string, unknown> = {
    [semConvAttributes.ATTR_GEN_AI_OPERATION_NAME]: opName,
    [semConvAttributes.ATTR_GEN_AI_PROVIDER_NAME]: semConvAttributes.GEN_AI_PROVIDER_NAME_VALUE_MISTRAL_AI,
    [semConvAttributes.ATTR_GEN_AI_RESPONSE_ID]: output["id"],
    [semConvAttributes.ATTR_GEN_AI_AGENT_ID]: output["agent_id"],
    [semConvAttributes.ATTR_GEN_AI_RESPONSE_MODEL]: output["model"],
    [semConvAttributes.ATTR_GEN_AI_OUTPUT_MESSAGES]: JSON.stringify([formatOutputMessage(choiceWrapper)]),
  };
  setAvailableAttributes(childSpan, messageAttributes);
  childSpan.end(endMs);
}

function enrichInvokeAgent(
  tracer: Tracer,
  span: Span,
  responseData: Record<string, unknown>
): void {
  const conversationAttributes: Record<string, unknown> = {
    [semConvAttributes.ATTR_GEN_AI_CONVERSATION_ID]: responseData["conversation_id"],
  };
  setAvailableAttributes(span, conversationAttributes);

  const outputs = (responseData["outputs"] || []) as Array<Record<string, unknown>>;
  const parentContext = trace.setSpan(contextApi.active(), span);
  for (const output of outputs) {
    const outputType = output["type"] as string | undefined;
    if (!outputType) continue;
    if (outputType === "function.call") {
      continue;
    }
    if (outputType === "tool.execution") {
      createToolExecutionChildSpan(tracer, parentContext, output);
    } else if (outputType === "message.output") {
      createMessageOutputChildSpan(tracer, parentContext, output);
    }
  }
}

function enrichOcr(span: Span, responseData: Record<string, unknown>): void {
  const usageInfo = responseData["usage_info"] as Record<string, unknown> | undefined;
  if (!usageInfo) return;
  const ocrAttributes: Record<string, unknown> = {
    [MistralAIAttributes.MISTRAL_AI_OCR_USAGE_PAGES_PROCESSED]: usageInfo["pages_processed"],
    [MistralAIAttributes.MISTRAL_AI_OCR_USAGE_DOC_SIZE_BYTES]: usageInfo["doc_size_bytes"],
  };
  setAvailableAttributes(span, ocrAttributes);
}

export function enrichSpanFromResponse(
  tracer: Tracer,
  span: Span,
  operationId: string,
  responseData: Record<string, unknown>
): void {
  const genAiOp = inferGenAiOperationName(operationId);
  if (genAiOp === null) {
    return;
  }

  enrichResponseGenaiAttrs(span, genAiOp, responseData);

  if (genAiOp === semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_CREATE_AGENT) {
    enrichCreateAgent(span, responseData);
  } else if (genAiOp === semConvAttributes.GEN_AI_OPERATION_NAME_VALUE_INVOKE_AGENT) {
    enrichInvokeAgent(tracer, span, responseData);
  }

  if (operationId === "ocr_v1_ocr_post") {
    enrichOcr(span, responseData);
  }
}

/**
 * Get a tracer from the registered or global TracerProvider.
 *
 * The SDK does not set up its own TracerProvider. It relies on the application
 * to register one explicitly or configure OpenTelemetry's global provider.
 *
 * If no TracerProvider is configured, the ProxyTracerProvider (default) will
 * return a NoOp tracer, effectively disabling tracing. Once the application
 * sets up a real TracerProvider, subsequent spans will be recorded.
 */
export function getOrCreateOtelTracer(
  provider?: TracerProvider,
  options: { useRegisteredProvider?: boolean } = {},
): Tracer {
  const tracerProvider = provider ??
    (options.useRegisteredProvider === false ? undefined : getRegisteredTracerProvider()) ??
    trace.getTracerProvider();
  return tracerProvider.getTracer(MISTRAL_SDK_OTEL_TRACER_NAME);
}

export function getSpanContext(span: Span): Context {
  return trace.setSpan(contextApi.active(), span);
}

export function runWithContext<T>(context: Context, fn: () => T): T {
  return contextApi.with(context, fn);
}

export async function recordRequestError(
  context: Context,
  error: unknown
): Promise<void> {
  const span = trace.getSpan(context);
  if (span) {
    await getResponseAndError(span, null, error);
  }
}

function warn(error: string, details: unknown): void {
  if (MISTRAL_SDK_DEBUG_TRACING) {
    console.warn(error, details);
  } else {
    console.warn(error, DEBUG_HINT);
  }
}

export async function getTracedRequestAndSpan(
  tracer: Tracer,
  operationId: string,
  request: Request
): Promise<{ request: Request; span: Span; body: string | null }> {
  const span = tracer.startSpan(operationId);

  if (!span.isRecording()) {
    return { request, span, body: null };
  }

  try {
    setMistralAgentTraceMarker(span);

    // Propagate gen_ai.conversation.id from OTEL baggage if present
    const baggage = propagation.getBaggage(contextApi.active());
    const conversationId = baggage?.getEntry(semConvAttributes.ATTR_GEN_AI_CONVERSATION_ID)?.value;
    if (conversationId) {
      span.setAttribute(semConvAttributes.ATTR_GEN_AI_CONVERSATION_ID, conversationId);
    }

    let body: string | null = null;
    if (
      request.body &&
      isKnownGenAiOperation(operationId) &&
      isJsonContentType(request.headers.get("content-type"))
    ) {
      try {
        const cloned = request.clone();
        body = await cloned.text();
      } catch {
        // Ignore - body might not be cloneable
      }
    }

    const headers = new Headers(request.headers);
    const headerCarrier: Record<string, string> = {};
    propagation.inject(trace.setSpan(contextApi.active(), span), headerCarrier);
    for (const [key, value] of Object.entries(headerCarrier)) {
      headers.set(key, value);
    }

    const newRequest = new Request(request, { headers });

    const url = new URL(request.url);
    enrichSpanFromRequest(
      span,
      operationId,
      url,
      request.method,
      headers.get("host") || url.host,
      body
    );

    return { request: newRequest, span, body };
  } catch (err) {
    warn(TracingErrors.FAILED_TO_CREATE_SPAN_FOR_REQUEST, err);
    try {
      span.end();
    } catch {
      // Ignore
    }
    return { request, span, body: null };
  }
}

export async function getTracedResponse(
  tracer: Tracer,
  span: Span,
  operationId: string,
  response: Response,
): Promise<Response> {
  if (!span.isRecording()) {
    return response;
  }

  try {
    span.setStatus({ code: SpanStatusCode.OK });
    span.setAttribute(semConvAttributes.ATTR_HTTP_RESPONSE_STATUS_CODE, response.status);

    const knownGenAiOperation = isKnownGenAiOperation(operationId);
    const responseContentType = response.headers.get("content-type");
    const isStreamResponse =
      knownGenAiOperation &&
      !response.bodyUsed &&
      responseContentType?.toLowerCase().includes("text/event-stream") === true;

    if (isStreamResponse && response.body) {
      return createTracedStreamResponse(response, span, tracer, operationId);
    }

    if (
      knownGenAiOperation &&
      !response.bodyUsed &&
      isJsonContentType(responseContentType)
    ) {
      const clonedResponse = response.clone();
      try {
        const responseData = await clonedResponse.json();
        enrichSpanFromResponse(
          tracer,
          span,
          operationId,
          responseData as Record<string, unknown>
        );
      } catch {
        // Ignore parse errors
      }
    }
    endSpan(span);

    return response;
  } catch (err) {
    warn(TracingErrors.FAILED_TO_ENRICH_SPAN_WITH_RESPONSE, err);
    endSpan(span);
    return response;
  }
}

function createTracedStreamResponse(
  response: Response,
  span: Span,
  tracer: Tracer,
  operationId: string
): Response {
  const originalBody = response.body!;
  const chunks: string[] = [];
  const decoder = new TextDecoder();
  const reader = originalBody.getReader();
  let finalized = false;

  const finalize = (): void => {
    if (finalized) {
      return;
    }
    const remaining = decoder.decode();
    if (remaining) {
      chunks.push(remaining);
    }
    finalized = true;
    finalizeStreamSpan(chunks, span, tracer, operationId);
  };

  const tracedStream = new ReadableStream<Uint8Array>(
    {
      async pull(controller) {
        try {
          const { done, value } = await reader.read();
          if (done) {
            finalize();
            controller.close();
            return;
          }

          chunks.push(decoder.decode(value, { stream: true }));
          controller.enqueue(value);
        } catch (err) {
          finalize();
          controller.error(err);
          try {
            await reader.cancel(err);
          } catch {
            // Ignore cancellation errors from already-failed streams.
          }
        }
      },
      async cancel(reason) {
        finalize();
        await reader.cancel(reason);
      },
    },
    { highWaterMark: 0 }
  );

  return new Response(tracedStream, {
    status: response.status,
    statusText: response.statusText,
    headers: response.headers,
  });
}

function finalizeStreamSpan(
  chunks: string[],
  span: Span,
  tracer: Tracer,
  operationId: string
): void {
  try {
    const fullText = chunks.join("");
    const parsedChunks = parseSseChunks(fullText);
    if (parsedChunks.length > 0) {
      const responseData = accumulateChunksToResponseDict(parsedChunks);
      enrichSpanFromResponse(tracer, span, operationId, responseData);
    }
  } catch (err) {
    warn("Failed to enrich span with streaming response.", err);
  }
  endSpan(span);
}

export async function getResponseAndError(
  span: Span,
  response: Response | null,
  error: unknown
): Promise<{ response: Response | null; error: unknown }> {
  if (!span.isRecording()) {
    return { response, error };
  }

  try {
    if (error) {
      span.recordException(error as Error);
      span.setStatus({ code: SpanStatusCode.ERROR, message: String(error) });
    }

    if (!response) {
      endSpan(span);
      return { response, error };
    }

    try {
      const responseBody = await response.clone().json();
      const body = responseBody as Record<string, unknown>;
      if (body["object"] === "error") {
        const errorMsg = (body["message"] as string) || "";
        const errorType = (body["type"] as string) || "";
        if (errorMsg) {
          span.setStatus({ code: SpanStatusCode.ERROR, message: errorMsg });
          span.addEvent("exception", {
            "exception.type": errorType || "api_error",
            "exception.message": errorMsg,
          });
          const attrs: Record<string, unknown> = {
            [semConvAttributes.ATTR_HTTP_RESPONSE_STATUS_CODE]: response.status,
          };
          if (errorType) {
            attrs[semConvAttributes.ATTR_ERROR_TYPE] = errorType;
          }
          if (body["code"]) {
            attrs[MistralAIAttributes.MISTRAL_AI_ERROR_CODE] = body["code"];
          }
          setAvailableAttributes(span, attrs);
        }
      }
    } catch {
      // Non-JSON error bodies are valid API responses; leave the span as-is.
    }
    endSpan(span);
  } catch (err) {
    warn(TracingErrors.FAILED_TO_HANDLE_ERROR_IN_SPAN, err);
    try {
      span.end();
    } catch {
      // Ignore
    }
  }

  return { response, error };
}

function endSpan(span: Span): void {
  try {
    span.end();
  } catch (err) {
    warn(TracingErrors.FAILED_TO_END_SPAN, err);
  }
}

/**
 * Create a traced span using a callback pattern.
 * This is the TypeScript equivalent of Python's context manager.
 */
export async function traceAsync<T>(
  name: string,
  fn: (span: Span) => Promise<T>
): Promise<T> {
  const tracer = getOrCreateOtelTracer();
  const span = tracer.startSpan(name);
  try {
    return await fn(span);
  } finally {
    span.end();
  }
}