# Gen AI ## Gen AI Attributes 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.completion` | string | The full response received from the GenAI model. [1] | `[{'role': 'assistant', 'content': 'The capital of France is Paris.'}]` |  | | `gen_ai.operation.name` | string | The name of the operation being performed. | `chat`; `completion` |  | | `gen_ai.prompt` | string | The full prompt sent to the GenAI model. [2] | `[{'role': 'user', 'content': 'What is the capital of France?'}]` |  | | `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.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"]` |  | | `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 instrumentation. [3] | `openai` |  | | `gen_ai.token.type` | string | The type of token being counted. | `input`; `output` |  | | `gen_ai.usage.completion_tokens` | int | The number of tokens used in the GenAI response (completion). | `180` |  | | `gen_ai.usage.prompt_tokens` | int | The number of tokens used in the GenAI input or prompt. | `100` |  | **[1]:** It's RECOMMENDED to format completions as JSON string matching [OpenAI messages format](https://platform.openai.com/docs/guides/text-generation) **[2]:** It's RECOMMENDED to format prompts as JSON string matching [OpenAI messages format](https://platform.openai.com/docs/guides/text-generation) **[3]:** The actual GenAI product may differ from the one identified by the client. For example, when using OpenAI client libraries to communicate with Mistral, the `gen_ai.system` is set to `openai` based on the instrumentation's best knowledge. 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`. `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 |  | | `cohere` | Cohere |  | | `openai` | OpenAI |  | | `vertex_ai` | Vertex AI |  | `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.) |  |