92 lines
9.3 KiB
Markdown
92 lines
9.3 KiB
Markdown
<!--- Hugo front matter used to generate the website version of this page:
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linkTitle: Azure AI Inference
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--->
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# Semantic Conventions for Azure AI Inference
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**Status**: [Experimental][DocumentStatus]
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The Semantic Conventions for [Azure AI Inference](https://learn.microsoft.com/azure/ai-studio) extend and override the [GenAI Semantic Conventions](README.md).
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## Azure AI Inference Spans
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`gen_ai.system` MUST be set to `"az.ai.inference"` and SHOULD be provided **at span creation time**.
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### Attributes
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| Attribute | Type | Description | Examples | [Requirement Level](https://opentelemetry.io/docs/specs/semconv/general/attribute-requirement-level/) | Stability |
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| [`gen_ai.operation.name`](/docs/attributes-registry/gen-ai.md) | string | The name of the operation being performed. [1] | `chat`; `text_completion`; `embeddings` | `Required` |  |
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| [`error.type`](/docs/attributes-registry/error.md) | string | Describes a class of error the operation ended with. [2] | `timeout`; `java.net.UnknownHostException`; `server_certificate_invalid`; `500` | `Conditionally Required` if the operation ended in an error |  |
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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. [3] | `gpt-4` | `Conditionally Required` If available. |  |
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| [`gen_ai.request.seed`](/docs/attributes-registry/gen-ai.md) | int | Requests with same seed value more likely to return same result. | `100` | `Conditionally Required` if appliable and if the request includes a seed |  |
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| [`server.port`](/docs/attributes-registry/server.md) | int | GenAI server port. [4] | `80`; `8080`; `443` | `Conditionally Required` If not default (443). |  |
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| [`az.namespace`](/docs/attributes-registry/azure.md) | string | [Azure Resource Provider Namespace](https://learn.microsoft.com/azure/azure-resource-manager/management/azure-services-resource-providers) as recognized by the client. [5] | `Microsoft.CognitiveServices` | `Recommended` |  |
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| [`gen_ai.request.encoding_formats`](/docs/attributes-registry/gen-ai.md) | string[] | The encoding formats requested in an embeddings operation, if specified. [6] | `["base64"]`; `["float", "binary"]` | `Recommended` |  |
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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_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"]`; `["stop", "length"]` | `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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| [`gen_ai.response.model`](/docs/attributes-registry/gen-ai.md) | string | The name of the model that generated the response. [7] | `gpt-4-0613` | `Recommended` |  |
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| [`gen_ai.usage.input_tokens`](/docs/attributes-registry/gen-ai.md) | int | The number of prompt tokens as reported in the usage prompt_tokens property of the response. | `100` | `Recommended` |  |
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| [`gen_ai.usage.output_tokens`](/docs/attributes-registry/gen-ai.md) | int | The number of completion tokens as reported in the usage completion_tokens property of the response. | `180` | `Recommended` |  |
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| [`server.address`](/docs/attributes-registry/server.md) | string | GenAI server address. [8] | `example.com`; `10.1.2.80`; `/tmp/my.sock` | `Recommended` |  |
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**[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.
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**[2] `error.type`:** The `error.type` SHOULD match the error code returned by the Generative AI provider or the client library,
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the canonical name of exception that occurred, or another low-cardinality error identifier.
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Instrumentations SHOULD document the list of errors they report.
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**[3] `gen_ai.request.model`:** 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.
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**[4] `server.port`:** 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.
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**[5] `az.namespace`:** When `az.namespace` attribute is populated, it MUST be set to `Microsoft.CognitiveServices` for all operations performed by Azure AI Inference clients.
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**[6] `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.
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**[7] `gen_ai.response.model`:** 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.
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**[8] `server.address`:** 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.
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---
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`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.
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| Value | Description | Stability |
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| `_OTHER` | A fallback error value to be used when the instrumentation doesn't define a custom value. |  |
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---
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`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.
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| Value | Description | Stability |
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| `chat` | Chat completion operation such as [OpenAI Chat API](https://platform.openai.com/docs/api-reference/chat) |  |
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| `embeddings` | Embeddings operation such as [OpenAI Create embeddings API](https://platform.openai.com/docs/api-reference/embeddings/create) |  |
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| `text_completion` | Text completions operation such as [OpenAI Completions API (Legacy)](https://platform.openai.com/docs/api-reference/completions) |  |
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## Azure AI Inference Metrics
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Azure AI Inference metrics follow generic [Generative AI metrics](gen-ai-metrics.md).
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[DocumentStatus]: https://opentelemetry.io/docs/specs/otel/document-status
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