This document defines the attributes used to describe telemetry in the context of Generative Artificial Intelligence (GenAI) Models requests and responses.
| Attribute | Type | Description | Examples | Stability |
|---|---|---|---|---|
gen_ai.agent.description |
string | Free-form description of the GenAI agent provided by the application. | Helps with math problems; Generates fiction stories |
 |
gen_ai.agent.id |
string | The unique identifier of the GenAI agent. | asst_5j66UpCpwteGg4YSxUnt7lPY |
|
gen_ai.agent.name |
string | Human-readable name of the GenAI agent provided by the application. | Math Tutor; Fiction Writer |
|
gen_ai.operation.name |
string | The name of the operation being performed. [1] | chat; text_completion; embeddings |
|
gen_ai.output.type |
string | Represents the content type requested by the client. [2] | text; json; image |
|
gen_ai.request.choice.count |
int | The target number of candidate completions to return. | 3 |
|
gen_ai.request.encoding_formats |
string[] | The encoding formats requested in an embeddings operation, if specified. [3] | ["base64"]; ["float", "binary"] |
|
gen_ai.request.frequency_penalty |
double | The frequency penalty setting for the GenAI request. | 0.1 |
|
gen_ai.request.max_tokens |
int | The maximum number of tokens the model generates for a request. | 100 |
|
gen_ai.request.model |
string | The name of the GenAI model a request is being made to. | gpt-4 |
|
gen_ai.request.presence_penalty |
double | The presence penalty setting for the GenAI request. | 0.1 |
|
gen_ai.request.seed |
int | Requests with same seed value more likely to return same result. | 100 |
|
gen_ai.request.stop_sequences |
string[] | List of sequences that the model will use to stop generating further tokens. | ["forest", "lived"] |
|
gen_ai.request.temperature |
double | The temperature setting for the GenAI request. | 0.0 |
|
gen_ai.request.top_k |
double | The top_k sampling setting for the GenAI request. | 1.0 |
|
gen_ai.request.top_p |
double | The top_p sampling setting for the GenAI request. | 1.0 |
|
gen_ai.response.finish_reasons |
string[] | Array of reasons the model stopped generating tokens, corresponding to each generation received. | ["stop"]; ["stop", "length"] |
|
gen_ai.response.id |
string | The unique identifier for the completion. | chatcmpl-123 |
|
gen_ai.response.model |
string | The name of the model that generated the response. | gpt-4-0613 |
|
gen_ai.system |
string | The Generative AI product as identified by the client or server instrumentation. [4] | openai |
|
gen_ai.token.type |
string | The type of token being counted. | input; output |
|
gen_ai.tool.call.id |
string | The tool call identifier. | call_mszuSIzqtI65i1wAUOE8w5H4 |
|
gen_ai.tool.name |
string | Name of the tool utilized by the agent. | Flights |
|
gen_ai.tool.type |
string | Type of the tool utilized by the agent [5] | function; extension; datastore |
|
gen_ai.usage.input_tokens |
int | The number of tokens used in the GenAI input (prompt). | 100 |
|
gen_ai.usage.output_tokens |
int | The number of tokens used in the GenAI response (completion). | 180 |
|
[1] gen_ai.operation.name: 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] gen_ai.output.type: This attribute SHOULD be used when the client requests output of a specific type. The model may return zero or more outputs of this type.
This attribute specifies the output modality and not the actual output format. For example, if an image is requested, the actual output could be a URL pointing to an image file.
Additional output format details may be recorded in the future in the gen_ai.output.{type}.* attributes.
[3] gen_ai.request.encoding_formats: In some GenAI systems the encoding formats are called embedding types. Also, some GenAI systems only accept a single format per request.
[4] gen_ai.system: The gen_ai.system describes a family of GenAI models with specific model identified
by gen_ai.request.model and gen_ai.response.model attributes.
The actual GenAI product may differ from the one identified by the client.
Multiple systems, including Azure OpenAI and Gemini, are accessible by OpenAI client
libraries. In such cases, the gen_ai.system is set to openai based on the
instrumentation's best knowledge, instead of the actual system. The server.address
attribute may help identify the actual system in use for openai.
For custom model, a custom friendly name SHOULD be used.
If none of these options apply, the gen_ai.system SHOULD be set to _OTHER.
[5] gen_ai.tool.type: Extension: A tool executed on the agent-side to directly call external APIs, bridging the gap between the agent and real-world systems.
Agent-side operations involve actions that are performed by the agent on the server or within the agent's controlled environment.
Function: A tool executed on the client-side, where the agent generates parameters for a predefined function, and the client executes the logic.
Client-side operations are actions taken on the user's end or within the client application.
Datastore: A tool used by the agent to access and query structured or unstructured external data for retrieval-augmented tasks or knowledge updates.
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 | |
create_agent |
Create GenAI agent | |
embeddings |
Embeddings operation such as OpenAI Create embeddings API | |
execute_tool |
Execute a tool | |
text_completion |
Text completions operation such as OpenAI Completions API (Legacy) | |
gen_ai.output.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 |
|---|---|---|
image |
Image | |
json |
JSON object with known or unknown schema | |
speech |
Speech | |
text |
Plain text | |
gen_ai.system 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 |
|---|---|---|
anthropic |
Anthropic | |
aws.bedrock |
AWS Bedrock | |
az.ai.inference |
Azure AI Inference | |
az.ai.openai |
Azure OpenAI | |
cohere |
Cohere | |
deepseek |
DeepSeek | |
gemini |
Gemini | |
groq |
Groq | |
ibm.watsonx.ai |
IBM Watsonx AI | |
mistral_ai |
Mistral AI | |
openai |
OpenAI | |
perplexity |
Perplexity | |
vertex_ai |
Vertex AI | |
xai |
xAI | |
gen_ai.token.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 |
|---|---|---|
input |
Input tokens (prompt, input, etc.) | |
output |
Output tokens (completion, response, etc.) | |
This group defines attributes for OpenAI.
| Attribute | Type | Description | Examples | Stability |
|---|---|---|---|---|
gen_ai.openai.request.service_tier |
string | The service tier requested. May be a specific tier, default, or auto. | auto; default |
|
gen_ai.openai.response.service_tier |
string | The service tier used for the response. | scale; default |
|
gen_ai.openai.response.system_fingerprint |
string | A fingerprint to track any eventual change in the Generative AI environment. | fp_44709d6fcb |
|
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. | |
default |
The system will utilize the default scale tier. | |
Describes deprecated gen_ai attributes.
| Attribute | Type | Description | Examples | Stability |
|---|---|---|---|---|
gen_ai.completion |
string | Deprecated, use Event API to report completions contents. | [{'role': 'assistant', 'content': 'The capital of France is Paris.'}] |
 Removed, no replacement at this time. |
gen_ai.prompt |
string | Deprecated, use Event API to report prompt contents. | [{'role': 'user', 'content': 'What is the capital of France?'}] |
Removed, no replacement at this time. |
gen_ai.usage.completion_tokens |
int | Deprecated, use gen_ai.usage.output_tokens instead. |
42 |
Replaced by gen_ai.usage.output_tokens attribute. |
gen_ai.usage.prompt_tokens |
int | Deprecated, use gen_ai.usage.input_tokens instead. |
42 |
Replaced by gen_ai.usage.input_tokens attribute. |
Describes deprecated gen_ai.openai attributes.
| Attribute | Type | Description | Examples | Stability |
|---|---|---|---|---|
gen_ai.openai.request.response_format |
string | Deprecated, use gen_ai.output.type. |
text; json_object; json_schema |
Replaced by gen_ai.output.type. |
gen_ai.openai.request.seed |
int | Deprecated, use gen_ai.request.seed. |
100 |
Replaced by gen_ai.request.seed attribute. |
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 | |
json_schema |
JSON schema response format | |
text |
Text response format | |