// Metro module 963 (f964).
import { OPENAI_OPERATIONS, OPENAI_RESPONSE_ID_ATTRIBUTE, GEN_AI_RESPONSE_ID_ATTRIBUTE, OPENAI_RESPONSE_MODEL_ATTRIBUTE, GEN_AI_RESPONSE_MODEL_ATTRIBUTE, OPENAI_RESPONSE_TIMESTAMP_ATTRIBUTE, OPENAI_USAGE_PROMPT_TOKENS_ATTRIBUTE, GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE, OPENAI_USAGE_COMPLETION_TOKENS_ATTRIBUTE, GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE, GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE, GEN_AI_RESPONSE_FINISH_REASONS_ATTRIBUTE, GEN_AI_RESPONSE_TOOL_CALLS_ATTRIBUTE, GEN_AI_CONVERSATION_ID_ATTRIBUTE, GEN_AI_REQUEST_MODEL_ATTRIBUTE, GEN_AI_REQUEST_TEMPERATURE_ATTRIBUTE, GEN_AI_REQUEST_TOP_P_ATTRIBUTE, GEN_AI_REQUEST_FREQUENCY_PENALTY_ATTRIBUTE, GEN_AI_REQUEST_PRESENCE_PENALTY_ATTRIBUTE, GEN_AI_REQUEST_STREAM_ATTRIBUTE, GEN_AI_REQUEST_ENCODING_FORMAT_ATTRIBUTE, GEN_AI_REQUEST_DIMENSIONS_ATTRIBUTE } from "./Module958";
import { INSTRUMENTED_METHODS } from "./Module964";
const getOperationName = function getOperationName(a0) {
  return a0.includes("chat.completions") ? OPENAI_OPERATIONS.CHAT : a0.includes("responses") ? OPENAI_OPERATIONS.RESPONSES : a0.includes("embeddings") ? OPENAI_OPERATIONS.EMBEDDINGS : a0.includes("conversations") ? OPENAI_OPERATIONS.CONVERSATIONS : a0.split(".").pop() || "unknown";
};
Object.defineProperty(exports, Symbol.toStringTag, {
  value: "Module"
});
export function addChatCompletionAttributes(a0, a1, a2) {
  const { id, model, created } = a1;
  const setAttributes = a0.setAttributes;
  const r3 = {};
  r3[OPENAI_RESPONSE_ID_ATTRIBUTE] = id;
  r3[GEN_AI_RESPONSE_ID_ATTRIBUTE] = id;
  setAttributes.call(a0, r3);
  const setAttributes2 = a0.setAttributes;
  const r23 = {};
  r23[OPENAI_RESPONSE_MODEL_ATTRIBUTE] = model;
  r23[GEN_AI_RESPONSE_MODEL_ATTRIBUTE] = model;
  setAttributes2.call(a0, r23);
  const setAttributes3 = a0.setAttributes;
  const r32 = {};
  r32[OPENAI_RESPONSE_TIMESTAMP_ATTRIBUTE] = new Date(1000 * created).toISOString();
  setAttributes3.call(a0, r32);
  if (a1.usage) {
    const prompt_tokens = a1.usage.prompt_tokens;
    const completion_tokens = a1.usage.completion_tokens;
    const total_tokens = a1.usage.total_tokens;
    if (prompt_tokens !== void 0) {
      const setAttributes4 = a0.setAttributes;
      const r51 = {};
      r51[OPENAI_USAGE_PROMPT_TOKENS_ATTRIBUTE] = prompt_tokens;
      r51[GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE] = prompt_tokens;
      setAttributes4.call(a0, r51);
    }
    if (completion_tokens !== void 0) {
      const setAttributes5 = a0.setAttributes;
      const r60 = {};
      r60[OPENAI_USAGE_COMPLETION_TOKENS_ATTRIBUTE] = completion_tokens;
      r60[GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE] = completion_tokens;
      setAttributes5.call(a0, r60);
    }
    if (total_tokens !== void 0) {
      const setAttributes6 = a0.setAttributes;
      const r69 = {};
      r69[GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE] = total_tokens;
      setAttributes6.call(a0, r69);
    }
  }
  if (Array.isArray(a1.choices)) {
    const r84 = a1.choices.map((choice) => choice.finish_reason).filter((item) => item !== null);
    if (r84.length > 0) {
      const setAttributes7 = a0.setAttributes;
      const r88 = {};
      r88[GEN_AI_RESPONSE_FINISH_REASONS_ATTRIBUTE] = JSON.stringify(r84);
      setAttributes7.call(a0, r88);
    }
    if (a2) {
      const r105 = a1.choices.map((choice) => choice.message?.tool_calls).filter((item) => Array.isArray(item) && item.length > 0).flat();
      if (r105.length > 0) {
        const setAttributes8 = a0.setAttributes;
        const r108 = {};
        r108[GEN_AI_RESPONSE_TOOL_CALLS_ATTRIBUTE] = JSON.stringify(r105);
        setAttributes8.call(a0, r108);
      }
    }
  }
}
export function addConversationAttributes(a0, { id, created_at }) {
  const setAttributes = a0.setAttributes;
  const r12 = {};
  r12[OPENAI_RESPONSE_ID_ATTRIBUTE] = id;
  r12[GEN_AI_RESPONSE_ID_ATTRIBUTE] = id;
  r12[GEN_AI_CONVERSATION_ID_ATTRIBUTE] = id;
  setAttributes.call(a0, r12);
  if (created_at) {
    const setAttributes2 = a0.setAttributes;
    const r24 = {};
    r24[OPENAI_RESPONSE_TIMESTAMP_ATTRIBUTE] = new Date(1000 * created_at).toISOString();
    setAttributes2.call(a0, r24);
  }
}
export function addEmbeddingsAttributes(a0, a1) {
  const setAttributes = a0.setAttributes;
  const r2 = {};
  r2[OPENAI_RESPONSE_MODEL_ATTRIBUTE] = a1.model;
  r2[GEN_AI_RESPONSE_MODEL_ATTRIBUTE] = a1.model;
  setAttributes.call(a0, r2);
  if (a1.usage) {
    const prompt_tokens = a1.usage.prompt_tokens;
    const total_tokens = a1.usage.total_tokens;
    if (prompt_tokens !== void 0) {
      const setAttributes2 = a0.setAttributes;
      const r23 = {};
      r23[OPENAI_USAGE_PROMPT_TOKENS_ATTRIBUTE] = prompt_tokens;
      r23[GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE] = prompt_tokens;
      setAttributes2.call(a0, r23);
    }
    if (total_tokens !== void 0) {
      const setAttributes3 = a0.setAttributes;
      const r32 = {};
      r32[GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE] = total_tokens;
      setAttributes3.call(a0, r32);
    }
  }
}
export function addResponsesApiAttributes(a0, a1, a2) {
  const { id, model, created_at } = a1;
  const setAttributes = a0.setAttributes;
  const r3 = {};
  r3[OPENAI_RESPONSE_ID_ATTRIBUTE] = id;
  r3[GEN_AI_RESPONSE_ID_ATTRIBUTE] = id;
  setAttributes.call(a0, r3);
  const setAttributes2 = a0.setAttributes;
  const r24 = {};
  r24[OPENAI_RESPONSE_MODEL_ATTRIBUTE] = model;
  r24[GEN_AI_RESPONSE_MODEL_ATTRIBUTE] = model;
  setAttributes2.call(a0, r24);
  const setAttributes3 = a0.setAttributes;
  const r33 = {};
  r33[OPENAI_RESPONSE_TIMESTAMP_ATTRIBUTE] = new Date(1000 * created_at).toISOString();
  setAttributes3.call(a0, r33);
  if (a1.status) {
    const setAttributes4 = a0.setAttributes;
    const r47 = {};
    r47[GEN_AI_RESPONSE_FINISH_REASONS_ATTRIBUTE] = JSON.stringify([a1.status]);
    setAttributes4.call(a0, r47);
  }
  if (a1.usage) {
    const input_tokens = a1.usage.input_tokens;
    const output_tokens = a1.usage.output_tokens;
    const total_tokens = a1.usage.total_tokens;
    if (input_tokens !== void 0) {
      const setAttributes5 = a0.setAttributes;
      const r63 = {};
      r63[OPENAI_USAGE_PROMPT_TOKENS_ATTRIBUTE] = input_tokens;
      r63[GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE] = input_tokens;
      setAttributes5.call(a0, r63);
    }
    if (output_tokens !== void 0) {
      const setAttributes6 = a0.setAttributes;
      const r72 = {};
      r72[OPENAI_USAGE_COMPLETION_TOKENS_ATTRIBUTE] = output_tokens;
      r72[GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE] = output_tokens;
      setAttributes6.call(a0, r72);
    }
    if (total_tokens !== void 0) {
      const setAttributes7 = a0.setAttributes;
      const r81 = {};
      r81[GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE] = total_tokens;
      setAttributes7.call(a0, r81);
    }
  }
  if (a2 && Array.isArray(a1.output) && a1.output.length > 0) {
    const r97 = a1.output.filter((item) => (typeof item === "object" ? item !== null : typeof item === "object") && item.type === "function_call");
    if (r97.length > 0) {
      const setAttributes8 = a0.setAttributes;
      const r100 = {};
      r100[GEN_AI_RESPONSE_TOOL_CALLS_ATTRIBUTE] = JSON.stringify(r97);
      setAttributes8.call(a0, r100);
    }
  }
}
export function buildMethodPath(a0, a1) {
  return a0 ? `${a0}.${a1}` : a1;
}
export function extractRequestParameters(a0) {
  let model = a0.model;
  if (model == null) {
    model = "unknown";
  }
  const r10 = {};
  r10[GEN_AI_REQUEST_MODEL_ATTRIBUTE] = model;
  if ("temperature" in a0) {
    r10[GEN_AI_REQUEST_TEMPERATURE_ATTRIBUTE] = a0.temperature;
  }
  if ("top_p" in a0) {
    r10[GEN_AI_REQUEST_TOP_P_ATTRIBUTE] = a0.top_p;
  }
  if ("frequency_penalty" in a0) {
    r10[GEN_AI_REQUEST_FREQUENCY_PENALTY_ATTRIBUTE] = a0.frequency_penalty;
  }
  if ("presence_penalty" in a0) {
    r10[GEN_AI_REQUEST_PRESENCE_PENALTY_ATTRIBUTE] = a0.presence_penalty;
  }
  if ("stream" in a0) {
    r10[GEN_AI_REQUEST_STREAM_ATTRIBUTE] = a0.stream;
  }
  if ("encoding_format" in a0) {
    r10[GEN_AI_REQUEST_ENCODING_FORMAT_ATTRIBUTE] = a0.encoding_format;
  }
  if ("dimensions" in a0) {
    r10[GEN_AI_REQUEST_DIMENSIONS_ATTRIBUTE] = a0.dimensions;
  }
  const r58 = "conversation" in a0 && typeof a0.conversation === "string" ? a0.conversation : "previous_response_id" in a0 ? typeof a0.previous_response_id === "string" ? a0.previous_response_id : void 0 : void 0;
  if (r58) {
    r10[GEN_AI_CONVERSATION_ID_ATTRIBUTE] = r58;
  }
  return r10;
}
export { getOperationName };
export function getSpanOperation(a0) {
  return `gen_ai.${getOperationName(a0)}`;
}
export function isChatCompletionChunk(a0) {
  return a0 !== null && typeof a0 === "object" && "object" in a0 && a0.object === "chat.completion.chunk";
}
export function isChatCompletionResponse(a0) {
  return a0 !== null && typeof a0 === "object" && "object" in a0 && a0.object === "chat.completion";
}
export function isConversationResponse(a0) {
  return a0 !== null && typeof a0 === "object" && "object" in a0 && a0.object === "conversation";
}
export function isEmbeddingsResponse(a0) {
  if (a0 !== null && typeof a0 === "object" && "object" in a0) {
    return a0.object === "list" && typeof a0.model === "string" && a0.model.toLowerCase().includes("embedding");
  }
  return false;
}
export function isResponsesApiResponse(a0) {
  return a0 !== null && typeof a0 === "object" && "object" in a0 && a0.object === "response";
}
export function isResponsesApiStreamEvent(a0) {
  return a0 !== null && typeof a0 === "object" && "type" in a0 && typeof a0.type === "string" && a0.type.startsWith("response.");
}
export function setCommonResponseAttributes(a0, a1, a2, a3) {
  const setAttributes = a0.setAttributes;
  const r2 = {};
  r2[OPENAI_RESPONSE_ID_ATTRIBUTE] = a1;
  r2[GEN_AI_RESPONSE_ID_ATTRIBUTE] = a1;
  setAttributes.call(a0, r2);
  const setAttributes2 = a0.setAttributes;
  const r20 = {};
  r20[OPENAI_RESPONSE_MODEL_ATTRIBUTE] = a2;
  r20[GEN_AI_RESPONSE_MODEL_ATTRIBUTE] = a2;
  setAttributes2.call(a0, r20);
  const setAttributes3 = a0.setAttributes;
  const r29 = {};
  r29[OPENAI_RESPONSE_TIMESTAMP_ATTRIBUTE] = new Date(1000 * a3).toISOString();
  setAttributes3.call(a0, r29);
}
export function setTokenUsageAttributes(a0, a1, a2, a3) {
  if (a1 !== void 0) {
    const setAttributes = a0.setAttributes;
    const r1 = {};
    r1[OPENAI_USAGE_PROMPT_TOKENS_ATTRIBUTE] = a1;
    r1[GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE] = a1;
    setAttributes.call(a0, r1);
  }
  if (a2 !== void 0) {
    const setAttributes2 = a0.setAttributes;
    const r17 = {};
    r17[OPENAI_USAGE_COMPLETION_TOKENS_ATTRIBUTE] = a2;
    r17[GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE] = a2;
    setAttributes2.call(a0, r17);
  }
  if (a3 !== void 0) {
    const setAttributes3 = a0.setAttributes;
    const r29 = {};
    r29[GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE] = a3;
    setAttributes3.call(a0, r29);
  }
}
export function shouldInstrument(a0) {
  return INSTRUMENTED_METHODS.includes(a0);
}