Add additional LLM span attributes (#1059)
Co-authored-by: Joao Grassi <5938087+joaopgrassi@users.noreply.github.com> Co-authored-by: Liudmila Molkova <limolkova@microsoft.com> Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>
This commit is contained in:
Karthik Kalyanaraman
GitHub
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@ -0,0 +1,4 @@
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change_type: enhancement
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component: gen-ai
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note: Adding `gen_ai.request.top_k`, `gen_ai.request.presence_penalty`, `gen_ai.request.frequency_penalty` and `gen_ai.request.stop_sequences` attributes.
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issues: [839]
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@ -11,13 +11,17 @@
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This document defines the attributes used to describe telemetry in the context of Generative Artificial Intelligence (GenAI) Models requests and responses.
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| Attribute | Type | Description | Examples | Stability |
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| -------------------------------- | -------- | ------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------- | ---------------------------------------------------------------- |
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| ---------------------------------- | -------- | ------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------- | ---------------------------------------------------------------- |
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| `gen_ai.completion` | string | The full response received from the GenAI model. [1] | `[{'role': 'assistant', 'content': 'The capital of France is Paris.'}]` |  |
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| `gen_ai.operation.name` | string | The name of the operation being performed. | `chat`; `completion` |  |
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| `gen_ai.prompt` | string | The full prompt sent to the GenAI model. [2] | `[{'role': 'user', 'content': 'What is the capital of France?'}]` |  |
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| `gen_ai.request.frequency_penalty` | double | The frequency penalty setting for the GenAI request. | `0.1` |  |
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| `gen_ai.request.max_tokens` | int | The maximum number of tokens the model generates for a request. | `100` |  |
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| `gen_ai.request.model` | string | The name of the GenAI model a request is being made to. | `gpt-4` |  |
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| `gen_ai.request.presence_penalty` | double | The presence penalty setting for the GenAI request. | `0.1` |  |
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| `gen_ai.request.stop_sequences` | string[] | List of sequences that the model will use to stop generating further tokens. | `["forest", "lived"]` |  |
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| `gen_ai.request.temperature` | double | The temperature setting for the GenAI request. | `0.0` |  |
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| `gen_ai.request.top_k` | double | The top_k sampling setting for the GenAI request. | `1.0` |  |
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| `gen_ai.request.top_p` | double | The top_p sampling setting for the GenAI request. | `1.0` |  |
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| `gen_ai.response.finish_reasons` | string[] | Array of reasons the model stopped generating tokens, corresponding to each generation received. | `["stop"]` |  |
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| `gen_ai.response.id` | string | The unique identifier for the completion. | `chatcmpl-123` |  |
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@ -47,8 +47,12 @@ These attributes track input data and metadata for a request to an GenAI model.
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|---|---|---|---|---|---|
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| [`gen_ai.request.model`](/docs/attributes-registry/gen-ai.md) | string | The name of the GenAI model a request is being made to. [1] | `gpt-4` | `Required` |  |
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| [`gen_ai.system`](/docs/attributes-registry/gen-ai.md) | string | The Generative AI product as identified by the client instrumentation. [2] | `openai` | `Required` |  |
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| [`gen_ai.request.frequency_penalty`](/docs/attributes-registry/gen-ai.md) | double | The frequency penalty setting for the GenAI request. | `0.1` | `Recommended` |  |
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| [`gen_ai.request.max_tokens`](/docs/attributes-registry/gen-ai.md) | int | The maximum number of tokens the model generates for a request. | `100` | `Recommended` |  |
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| [`gen_ai.request.presence_penalty`](/docs/attributes-registry/gen-ai.md) | double | The presence penalty setting for the GenAI request. | `0.1` | `Recommended` |  |
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| [`gen_ai.request.stop_sequences`](/docs/attributes-registry/gen-ai.md) | string[] | List of sequences that the model will use to stop generating further tokens. | `["forest", "lived"]` | `Recommended` |  |
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| [`gen_ai.request.temperature`](/docs/attributes-registry/gen-ai.md) | double | The temperature setting for the GenAI request. | `0.0` | `Recommended` |  |
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| [`gen_ai.request.top_k`](/docs/attributes-registry/gen-ai.md) | double | The top_k sampling setting for the GenAI request. | `1.0` | `Recommended` |  |
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| [`gen_ai.request.top_p`](/docs/attributes-registry/gen-ai.md) | double | The top_p sampling setting for the GenAI request. | `1.0` | `Recommended` |  |
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| [`gen_ai.response.finish_reasons`](/docs/attributes-registry/gen-ai.md) | string[] | Array of reasons the model stopped generating tokens, corresponding to each generation received. | `["stop"]` | `Recommended` |  |
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| [`gen_ai.response.id`](/docs/attributes-registry/gen-ai.md) | string | The unique identifier for the completion. | `chatcmpl-123` | `Recommended` |  |
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@ -54,6 +54,27 @@ groups:
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type: double
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brief: The top_p sampling setting for the GenAI request.
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examples: [1.0]
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tag: llm-generic-request
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- id: request.top_k
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stability: experimental
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type: double
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brief: The top_k sampling setting for the GenAI request.
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examples: [1.0]
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- id: request.stop_sequences
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stability: experimental
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type: string[]
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brief: List of sequences that the model will use to stop generating further tokens.
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examples: ['forest', 'lived']
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- id: request.frequency_penalty
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stability: experimental
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type: double
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brief: The frequency penalty setting for the GenAI request.
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examples: [0.1]
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- id: request.presence_penalty
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stability: experimental
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type: double
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brief: The presence penalty setting for the GenAI request.
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examples: [0.1]
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- id: response.id
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stability: experimental
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type: string
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@ -18,6 +18,14 @@ groups:
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requirement_level: recommended
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- ref: gen_ai.request.top_p
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requirement_level: recommended
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- ref: gen_ai.request.top_k
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requirement_level: recommended
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- ref: gen_ai.request.stop_sequences
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requirement_level: recommended
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- ref: gen_ai.request.frequency_penalty
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requirement_level: recommended
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- ref: gen_ai.request.presence_penalty
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requirement_level: recommended
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- ref: gen_ai.response.id
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requirement_level: recommended
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- ref: gen_ai.response.model
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