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Semantic Conventions for OpenAI operations

Status: Experimental

The Semantic Conventions for OpenAI extend and override the semantic conventions for Gen AI Spans and Gen AI Metrics.

gen_ai.system MUST be set to "openai".

OpenAI Spans

These attributes track input data and metadata for a request to an OpenAI model. The attributes include general Generative AI attributes and ones specific the OpenAI.

Attribute Type Description Examples Requirement Level Stability
gen_ai.operation.name string The name of the operation being performed. [1] chat; text_completion Required Experimental
gen_ai.request.model string The name of the GenAI model a request is being made to. [2] gpt-4 Required Experimental
error.type string Describes a class of error the operation ended with. [3] timeout; java.net.UnknownHostException; server_certificate_invalid; 500 Conditionally Required if the operation ended in an error Stable
gen_ai.openai.request.response_format string The response format that is requested. json Conditionally Required if the request includes a response_format Experimental
gen_ai.openai.request.seed int Requests with same seed value more likely to return same result. 100 Conditionally Required if the request includes a seed Experimental
gen_ai.openai.request.service_tier string The service tier requested. May be a specific tier, detault, or auto. auto; default Conditionally Required [4] Experimental
gen_ai.openai.response.service_tier string The service tier used for the response. scale; detault Conditionally Required [5] Experimental
server.port int GenAI server port. [6] 80; 8080; 443 Conditionally Required If server.address is set. Stable
gen_ai.request.frequency_penalty double The frequency penalty setting for the GenAI request. 0.1 Recommended Experimental
gen_ai.request.max_tokens int The maximum number of tokens the model generates for a request. 100 Recommended Experimental
gen_ai.request.presence_penalty double The presence penalty setting for the GenAI request. 0.1 Recommended Experimental
gen_ai.request.stop_sequences string[] List of sequences that the model will use to stop generating further tokens. ["forest", "lived"] Recommended Experimental
gen_ai.request.temperature double The temperature setting for the GenAI request. 0.0 Recommended Experimental
gen_ai.request.top_p double The top_p sampling setting for the GenAI request. 1.0 Recommended Experimental
gen_ai.response.finish_reasons string[] Array of reasons the model stopped generating tokens, corresponding to each generation received. ["stop"]; ["stop", "length"] Recommended Experimental
gen_ai.response.id string The unique identifier for the completion. chatcmpl-123 Recommended Experimental
gen_ai.response.model string The name of the model that generated the response. [7] gpt-4-0613 Recommended Experimental
gen_ai.usage.input_tokens int The number of tokens used in the prompt sent to OpenAI. 100 Recommended Experimental
gen_ai.usage.output_tokens int The number of tokens used in the completions from OpenAI. 180 Recommended Experimental
server.address string GenAI server address. [8] example.com; 10.1.2.80; /tmp/my.sock Recommended Stable

[1]: If one of the predefined values applies, but specific system uses a different name it's RECOMMENDED to document it in the semantic conventions for specific GenAI system and use system-specific name in the instrumentation. If a different name is not documented, instrumentation libraries SHOULD use applicable predefined value.

[2]: The name of the GenAI model a request is being made to. If the model is supplied by a vendor, then the value must be the exact name of the model requested. If the model is a fine-tuned custom model, the value should have a more specific name than the base model that's been fine-tuned.

[3]: The error.type SHOULD match the error code returned by the Generative AI provider or the client library, the canonical name of exception that occurred, or another low-cardinality error identifier. Instrumentations SHOULD document the list of errors they report.

[4]: if the request includes a service_tier and the value is not 'auto'

[5]: if the response was received and includes a service_tier

[6]: When observed from the client side, and when communicating through an intermediary, server.port SHOULD represent the server port behind any intermediaries, for example proxies, if it's available.

[7]: If available. The name of the GenAI model that provided the response. If the model is supplied by a vendor, then the value must be the exact name of the model actually used. If the model is a fine-tuned custom model, the value should have a more specific name than the base model that's been fine-tuned.

[8]: When observed from the client side, and when communicating through an intermediary, server.address SHOULD represent the server address behind any intermediaries, for example proxies, if it's available.

error.type has the following list of well-known values. If one of them applies, then the respective value MUST be used; otherwise, a custom value MAY be used.

Value Description Stability
_OTHER A fallback error value to be used when the instrumentation doesn't define a custom value. Stable

gen_ai.openai.request.response_format has the following list of well-known values. If one of them applies, then the respective value MUST be used; otherwise, a custom value MAY be used.

Value Description Stability
json_object JSON object response format Experimental
json_schema JSON schema response format Experimental
text Text response format Experimental

gen_ai.openai.request.service_tier has the following list of well-known values. If one of them applies, then the respective value MUST be used; otherwise, a custom value MAY be used.

Value Description Stability
auto The system will utilize scale tier credits until they are exhausted. Experimental
default The system will utilize the default scale tier. Experimental

gen_ai.operation.name has the following list of well-known values. If one of them applies, then the respective value MUST be used; otherwise, a custom value MAY be used.

Value Description Stability
chat Chat completion operation such as OpenAI Chat API Experimental
text_completion Text completions operation such as OpenAI Completions API (Legacy) Experimental

OpenAI Metrics

OpenAI metrics follow Generative AI metrics with the noted additional attributes. Individual systems may include additional system-specific attributes. It is recommended to check system-specific documentation, if available.

Metric: gen_ai.client.token.usage

Reports the usage of tokens following the common gen_ai.client.token.usage definition.

Additional attributes:

Attribute Type Description Examples Requirement Level Stability
gen_ai.openai.response.service_tier string The service tier used for the response. scale; detault Recommended Experimental

Metric: gen_ai.client.operation.duration

Measures the to complete an operation following the common gen_ai.client.operation.duration definition.

Additional attributes:

Attribute Type Description Examples Requirement Level Stability
gen_ai.openai.response.service_tier string The service tier used for the response. scale; detault Recommended Experimental