elastic · codefromthecrypt · Mar 18, 2025 · Mar 18, 2025 · Mar 18, 2025 · Mar 18, 2025
@@ -118,39 +118,51 @@ def _attributes_from_client(client) -> Attributes:
 
 
 def _get_attributes_from_wrapper(instance, kwargs) -> Attributes:
+    # we import this here to avoid races with other instrumentations
+    try:
+        # available since 1.13.4
+        from openai import NotGiven
+    except ImportError:
+        NotGiven = None
+
+    def _is_set(value):
+        if NotGiven is not None:
+            return value is not None and not isinstance(value, NotGiven)
+        return value is not None
+
     span_attributes = {
         GEN_AI_OPERATION_NAME: "chat",
         GEN_AI_SYSTEM: "openai",
     }
 
-    if (request_model := kwargs.get("model")) is not None:
+    if _is_set(request_model := kwargs.get("model")):
         span_attributes[GEN_AI_REQUEST_MODEL] = request_model
 
     if client := getattr(instance, "_client", None):
         span_attributes.update(_attributes_from_client(client))
 
-    if (frequency_penalty := kwargs.get("frequency_penalty")) is not None:
+    if _is_set(frequency_penalty := kwargs.get("frequency_penalty")):
         span_attributes[GEN_AI_REQUEST_FREQUENCY_PENALTY] = frequency_penalty
-    if (max_tokens := kwargs.get("max_completion_tokens", kwargs.get("max_tokens"))) is not None:
+    if _is_set(max_tokens := kwargs.get("max_completion_tokens", kwargs.get("max_tokens"))):
         span_attributes[GEN_AI_REQUEST_MAX_TOKENS] = max_tokens
-    if (presence_penalty := kwargs.get("presence_penalty")) is not None:
+    if _is_set(presence_penalty := kwargs.get("presence_penalty")):
         span_attributes[GEN_AI_REQUEST_PRESENCE_PENALTY] = presence_penalty
-    if (temperature := kwargs.get("temperature")) is not None:
+    if _is_set(temperature := kwargs.get("temperature")):
         span_attributes[GEN_AI_REQUEST_TEMPERATURE] = temperature
-    if (top_p := kwargs.get("top_p")) is not None:
+    if _is_set(top_p := kwargs.get("top_p")):
         span_attributes[GEN_AI_REQUEST_TOP_P] = top_p
-    if (stop_sequences := kwargs.get("stop")) is not None:
+    if _is_set(stop_sequences := kwargs.get("stop")):
         if isinstance(stop_sequences, str):
             stop_sequences = [stop_sequences]
         span_attributes[GEN_AI_REQUEST_STOP_SEQUENCES] = stop_sequences
-    if (seed := kwargs.get("seed")) is not None:
+    if _is_set(seed := kwargs.get("seed")):
         span_attributes[GEN_AI_OPENAI_REQUEST_SEED] = seed
-    if (service_tier := kwargs.get("service_tier")) is not None:
+    if _is_set(service_tier := kwargs.get("service_tier")):
         span_attributes[GEN_AI_OPENAI_REQUEST_SERVICE_TIER] = service_tier
-    if (response_format := kwargs.get("response_format")) is not None:
+    if _is_set(response_format := kwargs.get("response_format")):
         # response_format may be string or object with a string in the `type` key
         if isinstance(response_format, Mapping):
-            if (response_format_type := response_format.get("type")) is not None:
+            if _is_set(response_format_type := response_format.get("type")):
                 span_attributes[GEN_AI_OPENAI_REQUEST_RESPONSE_FORMAT] = response_format_type
         else:
             span_attributes[GEN_AI_OPENAI_REQUEST_RESPONSE_FORMAT] = response_format
@@ -168,18 +180,30 @@ def _span_name_from_attributes(attributes: Attributes) -> str:
 
 
 def _get_embeddings_attributes_from_wrapper(instance, kwargs) -> Attributes:
+    # we import this here to avoid races with other instrumentations
+    try:
+        # available since 1.13.4
+        from openai import NotGiven
+    except ImportError:
+        NotGiven = None
+
+    def _is_set(value):
+        if NotGiven is not None:
+            return value is not None and not isinstance(value, NotGiven)
+        return value is not None
+
     span_attributes = {
         GEN_AI_OPERATION_NAME: "embeddings",
         GEN_AI_SYSTEM: "openai",
     }
 
-    if (request_model := kwargs.get("model")) is not None:
+    if _is_set(request_model := kwargs.get("model")):
         span_attributes[GEN_AI_REQUEST_MODEL] = request_model
 
     if client := getattr(instance, "_client", None):
         span_attributes.update(_attributes_from_client(client))
 
-    if (encoding_format := kwargs.get("encoding_format")) is not None:
+    if _is_set(encoding_format := kwargs.get("encoding_format")):
         span_attributes[GEN_AI_REQUEST_ENCODING_FORMATS] = [encoding_format]
 
     return span_attributes

@@ -0,0 +1,135 @@
+interactions:
+- request:
+    body: |-
+      {
+        "messages": [
+          {
+            "role": "user",
+            "content": "Answer in up to 3 words: Which ocean contains Bouvet Island?"
+          }
+        ],
+        "model": "gpt-4o-mini"
+      }
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      authorization:
+      - Bearer test_openai_api_key
+      connection:
+      - keep-alive
+      content-length:
+      - '131'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.54.4
+      x-stainless-arch:
+      - x64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - Linux
+      x-stainless-package-version:
+      - 1.54.4
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/chat/completions
+  response:
+    body:
+      string: |-
+        {
+          "id": "chatcmpl-BCOdmGkOZ511LwlA800bJkFWf528Z",
+          "object": "chat.completion",
+          "created": 1742294354,
+          "model": "gpt-4o-mini-2024-07-18",
+          "choices": [
+            {
+              "index": 0,
+              "message": {
+                "role": "assistant",
+                "content": "Atlantic Ocean",
+                "refusal": null,
+                "annotations": []
+              },
+              "logprobs": null,
+              "finish_reason": "stop"
+            }
+          ],
+          "usage": {
+            "prompt_tokens": 22,
+            "completion_tokens": 3,
+            "total_tokens": 25,
+            "prompt_tokens_details": {
+              "cached_tokens": 0,
+              "audio_tokens": 0
+            },
+            "completion_tokens_details": {
+              "reasoning_tokens": 0,
+              "audio_tokens": 0,
+              "accepted_prediction_tokens": 0,
+              "rejected_prediction_tokens": 0
+            }
+          },
+          "service_tier": "default",
+          "system_fingerprint": "fp_06737a9306"
+        }
+    headers:
+      CF-RAY:
+      - 92241ade0c745271-MXP
+      Connection:
+      - keep-alive
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 18 Mar 2025 10:39:14 GMT
+      Server:
+      - cloudflare
+      Set-Cookie: test_set_cookie
+      Transfer-Encoding:
+      - chunked
+      X-Content-Type-Options:
+      - nosniff
+      access-control-expose-headers:
+      - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
+      cf-cache-status:
+      - DYNAMIC
+      content-length:
+      - '820'
+      openai-organization: test_openai_org_id
+      openai-processing-ms:
+      - '360'
+      openai-version:
+      - '2020-10-01'
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-ratelimit-limit-requests:
+      - '10000'
+      x-ratelimit-limit-tokens:
+      - '200000'
+      x-ratelimit-remaining-requests:
+      - '9524'
+      x-ratelimit-remaining-tokens:
+      - '199967'
+      x-ratelimit-reset-requests:
+      - 1h8m25.745s
+      x-ratelimit-reset-tokens:
+      - 9ms
+      x-request-id:
+      - req_7de69997ff644c621165daf62abeb297
+    status:
+      code: 200
+      message: OK
+version: 1
@@ -0,0 +1,120 @@
+interactions:
+- request:
+    body: |-
+      {
+        "input": [
+          "South Atlantic Ocean."
+        ],
+        "model": "text-embedding-3-small",
+        "encoding_format": "base64"
+      }
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      authorization:
+      - Bearer test_openai_api_key
+      connection:
+      - keep-alive
+      content-length:
+      - '100'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.54.4
+      x-stainless-arch:
+      - x64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - Linux
+      x-stainless-package-version:
+      - 1.54.4
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
+    method: POST
+    uri: https://api.openai.com/v1/embeddings
+  response:
+    body:
+      string: |-
+        {
+          "object": "list",
+          "data": [
+            {
+              "object": "embedding",
+              "index": 0,
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