Jaeger report some error of unsupported value: +Inf

[gyliu513]

Describe your environment Describe any aspect of your environment relevant to the problem, including your Python version, platform, version numbers of installed dependencies, information about your cloud hosting provider, etc. If you're reporting a problem with a specific version of a library in this repo, please check whether the problem has been fixed on main.

Steps to reproduce
Describe exactly how to reproduce the error. Include a code sample if applicable.

• Run otel collector based on steps here https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/examples/demo
• create a chat.py with openai as follows:

import os
import openai
from dotenv import load_dotenv
from opentelemetry import trace

# If you don't want to use full autoinstrumentation, just add this:
#
# from opentelemetry.instrumentation.openai import OpenAIInstrumentor
# OpenAIInstrumentor().instrument()

tracer = trace.get_tracer("chat.demo")

load_dotenv()
openai.api_key = os.getenv("OPENAI_API_KEY")

with tracer.start_as_current_span("example") as span:
    span.set_attribute("attr1", 12)

    completion = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a very accurate calculator. You output only the result of the calculation."},
            {"role": "user", "content": "1 + 1 = "}],
        temperature=0,
    )
    print(completion)

• Run chat.py as follows:

poetry run opentelemetry-instrument \
  --traces_exporter console,otlp \
  --metrics_exporter console --service_name llm-playground2 \
  --logs_exporter none --exporter_otlp_endpoint 0.0.0.0:4317 \
  python chat.py
{
  "id": "chatcmpl-8IoC4PJcloLvoIgdNNe8SoC9xBKFj",
  "object": "chat.completion",
  "created": 1699493540,
  "model": "gpt-3.5-turbo-0613",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "2"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 33,
    "completion_tokens": 1,
    "total_tokens": 34
  }
}
{
    "resource_metrics": [
        {
            "resource": {
                "attributes": {
                    "telemetry.sdk.language": "python",
                    "telemetry.sdk.name": "opentelemetry",
                    "telemetry.sdk.version": "1.18.0",
                    "service.name": "llm-playground2",
                    "telemetry.auto.version": "0.39b0"
                },
                "schema_url": ""
            },
            "scope_metrics": [
                {
                    "scope": {
                        "name": "opentelemetry.instrumentation.requests",
                        "version": "0.39b0",
                        "schema_url": ""
                    },
                    "metrics": [
                        {
                            "name": "http.client.duration",
                            "description": "measures the duration of the outbound HTTP request",
                            "unit": "ms",
                            "data": {
                                "data_points": [
                                    {
                                        "attributes": {
                                            "http.method": "POST",
                                            "http.scheme": "https",
                                            "http.host": "api.openai.com",
                                            "net.peer.name": "api.openai.com",
                                            "http.status_code": 200,
                                            "http.flavor": "1.1"
                                        },
                                        "start_time_unix_nano": 1699493547266934000,
                                        "time_unix_nano": 1699493547270321000,
                                        "count": 1,
                                        "sum": 6813,
                                        "bucket_counts": [
                                            0,
                                            0,
                                            0,
                                            0,
                                            0,
                                            0,
                                            0,
                                            0,
                                            0,
                                            0,
                                            0,
                                            0,
                                            0,
                                            1,
                                            0,
                                            0
                                        ],
                                        "explicit_bounds": [
                                            0.0,
                                            5.0,
                                            10.0,
                                            25.0,
                                            50.0,
                                            75.0,
                                            100.0,
                                            250.0,
                                            500.0,
                                            750.0,
                                            1000.0,
                                            2500.0,
                                            5000.0,
                                            7500.0,
                                            10000.0
                                        ],
                                        "min": 6813,
                                        "max": 6813
                                    }
                                ],
                                "aggregation_temporality": 2
                            }
                        }
                    ],
                    "schema_url": ""
                }
            ],
            "schema_url": ""
        }
    ]
}
{
    "name": "HTTP POST",
    "context": {
        "trace_id": "0x875544a1845731a991ad5ba2639fbe1e",
        "span_id": "0x78e705a0a84c4d30",
        "trace_state": "[]"
    },
    "kind": "SpanKind.CLIENT",
    "parent_id": "0x4becf106c8e3c6a4",
    "start_time": "2023-11-09T01:32:20.453527Z",
    "end_time": "2023-11-09T01:32:27.267121Z",
    "status": {
        "status_code": "UNSET"
    },
    "attributes": {
        "http.method": "POST",
        "http.url": "https://api.openai.com/v1/chat/completions",
        "http.status_code": 200
    },
    "events": [],
    "links": [],
    "resource": {
        "attributes": {
            "telemetry.sdk.language": "python",
            "telemetry.sdk.name": "opentelemetry",
            "telemetry.sdk.version": "1.18.0",
            "service.name": "llm-playground2",
            "telemetry.auto.version": "0.39b0"
        },
        "schema_url": ""
    }
}
{
    "name": "openai.chat",
    "context": {
        "trace_id": "0x875544a1845731a991ad5ba2639fbe1e",
        "span_id": "0x4becf106c8e3c6a4",
        "trace_state": "[]"
    },
    "kind": "SpanKind.CLIENT",
    "parent_id": "0x76dc2e021666e5d1",
    "start_time": "2023-11-09T01:32:20.422065Z",
    "end_time": "2023-11-09T01:32:27.268682Z",
    "status": {
        "status_code": "OK"
    },
    "attributes": {
        "openai.api_base": "https://api.openai.com/v1",
        "openai.api_type": "open_ai",
        "openai.api_version": "None",
        "openai.chat.messages.0.role": "system",
        "openai.chat.messages.0.content": "You are a very accurate calculator. You output only the result of the calculation.",
        "openai.chat.messages.1.role": "user",
        "openai.chat.messages.1.content": "1 + 1 = ",
        "openai.chat.temperature": 0,
        "openai.chat.top_p": 1.0,
        "openai.chat.n": 1,
        "openai.chat.stream": false,
        "openai.chat.stop": "",
        "openai.chat.max_tokens": Infinity,
        "openai.chat.presence_penalty": 0.0,
        "openai.chat.frequency_penalty": 0.0,
        "openai.chat.logit_bias": "",
        "openai.chat.user": "",
        "openai.chat.model": "gpt-3.5-turbo",
        "openai.chat.response.choices.0.message.role": "assistant",
        "openai.chat.response.choices.0.message.content": "2",
        "openai.chat.response.choices.0.index": 0,
        "openai.chat.response.choices.0.finish_reason": "stop",
        "openai.chat.response.usage.prompt_tokens": 33,
        "openai.chat.response.usage.completion_tokens": 1,
        "openai.chat.response.usage.total_tokens": 34,
        "openai.chat.response.id": "chatcmpl-8IoC4PJcloLvoIgdNNe8SoC9xBKFj",
        "openai.chat.response.object": "chat.completion",
        "openai.chat.response.created": 1699493540,
        "openai.chat.response.model": "gpt-3.5-turbo-0613"
    },
    "events": [],
    "links": [],
    "resource": {
        "attributes": {
            "telemetry.sdk.language": "python",
            "telemetry.sdk.name": "opentelemetry",
            "telemetry.sdk.version": "1.18.0",
            "service.name": "llm-playground2",
            "telemetry.auto.version": "0.39b0"
        },
        "schema_url": ""
    }
}
{
    "name": "example",
    "context": {
        "trace_id": "0x875544a1845731a991ad5ba2639fbe1e",
        "span_id": "0x76dc2e021666e5d1",
        "trace_state": "[]"
    },
    "kind": "SpanKind.INTERNAL",
    "parent_id": null,
    "start_time": "2023-11-09T01:32:20.421971Z",
    "end_time": "2023-11-09T01:32:27.268883Z",
    "status": {
        "status_code": "UNSET"
    },
    "attributes": {
        "attr1": 12
    },
    "events": [],
    "links": [],
    "resource": {
        "attributes": {
            "telemetry.sdk.language": "python",
            "telemetry.sdk.name": "opentelemetry",
            "telemetry.sdk.version": "1.18.0",
            "service.name": "llm-playground2",
            "telemetry.auto.version": "0.39b0"
        },
        "schema_url": ""
    }
}

• If I logon to Jaeger, there are some errors as follows:

What is the expected behavior?
What did you expect to see?

What is the actual behavior?
What did you see instead?

Additional context
Add any other context about the problem here.