elastic-opentelemetry-instrumentation-openai: Update README after semconv 1.29.0

Author: xrmx

instrumentation/elastic-opentelemetry-instrumentation-openai/README.md

@@ -10,7 +10,7 @@ We currently support the following features:
 - Functions calling with tools for chat completions
 - Client side metrics
 - Embeddings API calls
-- Following 1.28.0 Gen AI Semantic Conventions
+- Following 1.29.0 Gen AI Semantic Conventions
 
 ## Installation
 
@@ -60,8 +60,7 @@ log events instead of span events.
 
 ### Elastic specific semantic conventions
 
-- New `embeddings` value for `gen_ai.operation.name`
-- New `gen_ai.request.encoding_formats` attribute with openai specific values `[[float], [base64]]`
+None at the moment
 
 ## Development
 

instrumentation/elastic-opentelemetry-instrumentation-openai/src/opentelemetry/instrumentation/openai/helpers.py

@@ -38,6 +38,13 @@
     GEN_AI_USAGE_INPUT_TOKENS,
     GEN_AI_USAGE_OUTPUT_TOKENS,
 )
+
+try:
+    from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import GEN_AI_REQUEST_ENCODING_FORMATS
+except ImportError:
+    # available since 1.29.0
+    GEN_AI_REQUEST_ENCODING_FORMATS = "gen_ai.request.encoding_formats"
+
 from opentelemetry.metrics import Histogram
 from opentelemetry.trace import Span
 from opentelemetry.util.types import Attributes
@@ -48,9 +55,6 @@
 EVENT_GEN_AI_SYSTEM_MESSAGE = "gen_ai.system.message"
 EVENT_GEN_AI_TOOL_MESSAGE = "gen_ai.tool.message"
 
-# not yet released attributes
-GEN_AI_REQUEST_ENCODING_FORMATS = "gen_ai.request.encoding_formats"
-
 # As this is only used for a type annotation, only import from openai module
 # when running type checker like pyright since we otherwise don't want to import
 # it before the app.