remove LLMSpanAttributes validation layer

Author: alizenhom

Diff for: instrumentation/opentelemetry-instrumentation-openai/pyproject.toml

@@ -27,8 +27,7 @@ classifiers = [
 dependencies = [
   "opentelemetry-api ~= 1.12",
   "opentelemetry-instrumentation == 0.48b0.dev",
-  "opentelemetry-semantic-conventions == 0.48b0.dev",
-  "pydantic>=1.8"
+  "opentelemetry-semantic-conventions == 0.48b0.dev"
 
 ]
 

Diff for: instrumentation/opentelemetry-instrumentation-openai/src/opentelemetry/instrumentation/openai/__init__.py

@@ -47,6 +47,7 @@
 
 from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
 from opentelemetry.instrumentation.openai.package import _instruments
+from opentelemetry.semconv.schemas import Schemas
 from opentelemetry.trace import get_tracer
 
 from .patch import chat_completions_create
@@ -64,7 +65,7 @@ def _instrument(self, **kwargs):
             __name__,
             "",
             tracer_provider,
-            schema_url="https://opentelemetry.io/schemas/1.27.0",
+            schema_url=Schemas.V1_27_0,
         )
         wrap_function_wrapper(
             module="openai.resources.chat.completions",

Diff for: instrumentation/opentelemetry-instrumentation-openai/src/opentelemetry/instrumentation/openai/patch.py

@@ -24,7 +24,6 @@
 from opentelemetry.trace import Span, SpanKind, Tracer
 from opentelemetry.trace.status import Status, StatusCode
 
-from .span_attributes import LLMSpanAttributes
 from .utils import (
     extract_content,
     extract_tools_prompt,
@@ -49,13 +48,10 @@ def traced_method(wrapped, instance, args, kwargs):
             llm_prompts.append(tools_prompt if tools_prompt else item)
 
         span_attributes = {**get_llm_request_attributes(kwargs)}
-
-        attributes = LLMSpanAttributes(**span_attributes)
-
-        span_name = f"{attributes.gen_ai_operation_name} {attributes.gen_ai_request_model}"
+        span_name = f"{span_attributes[GenAIAttributes.GEN_AI_OPERATION_NAME]} {span_attributes[GenAIAttributes.GEN_AI_REQUEST_MODEL]}"
 
         span = tracer.start_span(name=span_name, kind=SpanKind.CLIENT)
-        _set_input_attributes(span, attributes)
+        _set_input_attributes(span, span_attributes)
         set_event_prompt(span, json.dumps(llm_prompts))
 
         try:
@@ -84,8 +80,8 @@ def traced_method(wrapped, instance, args, kwargs):
 
 
 @silently_fail
-def _set_input_attributes(span, attributes: LLMSpanAttributes):
-    for field, value in attributes.model_dump(by_alias=True).items():
+def _set_input_attributes(span, attributes):
+    for field, value in attributes.items():
         set_span_attribute(span, field, value)
 
 
@@ -219,7 +215,7 @@ def __exit__(self, exc_type, exc_val, exc_tb):
             if exc_type is not None:
                 self.span.set_status(Status(StatusCode.ERROR, str(exc_val)))
                 self.span.set_attribute(
-                    ErrorAttributes.ERROR_TYPE, exc_type.__name__
+                    ErrorAttributes.ERROR_TYPE, exc_type.__qualname__
                 )
         finally:
             self.cleanup()