# Semantic conventions for Azure AI Inference client operations **Status**: [Development][DocumentStatus] - [Spans](#spans) - [Inference](#inference) - [Embedding](#embedding) - [Metrics](#metrics) > [!Warning] > > Existing GenAI instrumentations that are using > [v1.36.0 of this document](https://github.com/open-telemetry/semantic-conventions/blob/v1.36.0/docs/gen-ai/README.md) > (or prior): > > * SHOULD NOT change the version of the GenAI conventions that they emit by default. > Conventions include, but are not limited to, attributes, metric, span and event names, > span kind and unit of measure. > * SHOULD introduce an environment variable `OTEL_SEMCONV_STABILITY_OPT_IN` > as a comma-separated list of category-specific values. The list of values > includes: > * `gen_ai_latest_experimental` - emit the latest experimental version of > GenAI conventions (supported by the instrumentation) and do not emit the > old one (v1.36.0 or prior). > * The default behavior is to continue emitting whatever version of the GenAI > conventions the instrumentation was emitting (1.36.0 or prior). > > This transition plan will be updated to include stable version before the > GenAI conventions are marked as stable. The Semantic Conventions for [Azure AI Inference](https://learn.microsoft.com/azure/ai-studio) extend and override the [GenAI Semantic Conventions](README.md). ## Spans ### Inference `gen_ai.provider.name` MUST be set to `"azure.ai.inference"` and SHOULD be provided **at span creation time**. **Status:**  Semantic Conventions for [Azure AI Inference](https://learn.microsoft.com/azure/ai-studio/reference/reference-model-inference-api) client spans extend and override the semantic conventions for [Gen AI Spans](gen-ai-spans.md). `gen_ai.provider.name` MUST be set to `"azure.ai.inference"` and SHOULD be provided **at span creation time**. **Span name** SHOULD be `{gen_ai.operation.name} {gen_ai.request.model}` when the model name is available and `{gen_ai.operation.name}` otherwise. **Span kind** SHOULD be `CLIENT`. **Span status** SHOULD follow the [Recording Errors](/docs/general/recording-errors.md) document. | Attribute | Type | Description | Examples | [Requirement Level](https://opentelemetry.io/docs/specs/semconv/general/attribute-requirement-level/) | Stability | |---|---|---|---|---|---| | [`gen_ai.operation.name`](/docs/registry/attributes/gen-ai.md) | string | The name of the operation being performed. [1] | `chat`; `generate_content`; `text_completion` | `Required` |  | | [`error.type`](/docs/registry/attributes/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 |  | | [`gen_ai.conversation.id`](/docs/registry/attributes/gen-ai.md) | string | The unique identifier for a conversation (session, thread), used to store and correlate messages within this conversation. [3] | `conv_5j66UpCpwteGg4YSxUnt7lPY` | `Conditionally Required` when available |  | | [`gen_ai.output.type`](/docs/registry/attributes/gen-ai.md) | string | Represents the content type requested by the client. [4] | `text`; `json`; `image` | `Conditionally Required` [5] |  | | [`gen_ai.request.choice.count`](/docs/registry/attributes/gen-ai.md) | int | The target number of candidate completions to return. | `3` | `Conditionally Required` if available, in the request, and !=1 |  | | [`gen_ai.request.model`](/docs/registry/attributes/gen-ai.md) | string | The name of the GenAI model a request is being made to. [6] | `gpt-4` | `Conditionally Required` If available. |  | | [`gen_ai.request.seed`](/docs/registry/attributes/gen-ai.md) | int | Requests with same seed value more likely to return same result. | `100` | `Conditionally Required` if applicable and if the request includes a seed |  | | [`server.port`](/docs/registry/attributes/server.md) | int | GenAI server port. [7] | `80`; `8080`; `443` | `Conditionally Required` If not default (443). |  | | [`azure.resource_provider.namespace`](/docs/registry/attributes/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. [8] | `Microsoft.CognitiveServices` | `Recommended` |  | | [`gen_ai.request.frequency_penalty`](/docs/registry/attributes/gen-ai.md) | double | The frequency penalty setting for the GenAI request. | `0.1` | `Recommended` |  | | [`gen_ai.request.max_tokens`](/docs/registry/attributes/gen-ai.md) | int | The maximum number of tokens the model generates for a request. | `100` | `Recommended` |  | | [`gen_ai.request.presence_penalty`](/docs/registry/attributes/gen-ai.md) | double | The presence penalty setting for the GenAI request. | `0.1` | `Recommended` |  | | [`gen_ai.request.stop_sequences`](/docs/registry/attributes/gen-ai.md) | string[] | List of sequences that the model will use to stop generating further tokens. | `["forest", "lived"]` | `Recommended` |  | | [`gen_ai.request.temperature`](/docs/registry/attributes/gen-ai.md) | double | The temperature setting for the GenAI request. | `0.0` | `Recommended` |  | | [`gen_ai.request.top_p`](/docs/registry/attributes/gen-ai.md) | double | The top_p sampling setting for the GenAI request. | `1.0` | `Recommended` |  | | [`gen_ai.response.finish_reasons`](/docs/registry/attributes/gen-ai.md) | string[] | Array of reasons the model stopped generating tokens, corresponding to each generation received. | `["stop"]`; `["stop", "length"]` | `Recommended` |  | | [`gen_ai.response.id`](/docs/registry/attributes/gen-ai.md) | string | The unique identifier for the completion. | `chatcmpl-123` | `Recommended` |  | | [`gen_ai.response.model`](/docs/registry/attributes/gen-ai.md) | string | The name of the model that generated the response. [9] | `gpt-4-0613` | `Recommended` |  | | [`gen_ai.usage.input_tokens`](/docs/registry/attributes/gen-ai.md) | int | The number of prompt tokens as reported in the usage prompt_tokens property of the response. | `100` | `Recommended` |  | | [`gen_ai.usage.output_tokens`](/docs/registry/attributes/gen-ai.md) | int | The number of completion tokens as reported in the usage completion_tokens property of the response. | `180` | `Recommended` |  | | [`server.address`](/docs/registry/attributes/server.md) | string | GenAI server address. [10] | `example.com`; `10.1.2.80`; `/tmp/my.sock` | `Recommended` |  | **[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] `error.type`:** 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. **[3] `gen_ai.conversation.id`:** Instrumentations SHOULD populate conversation id when they have it readily available for a given operation, for example: - when client framework being instrumented manages conversation history (see [LlamaIndex chat store](https://docs.llamaindex.ai/en/stable/module_guides/storing/chat_stores/)) - when instrumenting GenAI client libraries that maintain conversation on the backend side (see [AWS Bedrock agent sessions](https://docs.aws.amazon.com/bedrock/latest/userguide/agents-session-state.html), [OpenAI Assistant threads](https://platform.openai.com/docs/api-reference/threads)) Application developers that manage conversation history MAY add conversation id to GenAI and other spans or logs using custom span or log record processors or hooks provided by instrumentation libraries. **[4] `gen_ai.output.type`:** This attribute SHOULD be set to the output type requested by the client: - `json` for structured outputs with defined or undefined schema - `image` for image output - `speech` for speech output - `text` for plain text output The 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. **[5] `gen_ai.output.type`:** when applicable and if the request includes an output format. **[6] `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. **[7] `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. **[8] `azure.resource_provider.namespace`:** When `azure.resource_provider.namespace` attribute is populated, it MUST be set to `Microsoft.CognitiveServices` for all operations performed by Azure AI Inference clients. **[9] `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. **[10] `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. --- `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. |  | --- `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](https://platform.openai.com/docs/api-reference/chat) |  | | `create_agent` | Create GenAI agent |  | | `embeddings` | Embeddings operation such as [OpenAI Create embeddings API](https://platform.openai.com/docs/api-reference/embeddings/create) |  | | `execute_tool` | Execute a tool |  | | `generate_content` | Multimodal content generation operation such as [Gemini Generate Content](https://ai.google.dev/api/generate-content) |  | | `invoke_agent` | Invoke GenAI agent |  | | `text_completion` | Text completions operation such as [OpenAI Completions API (Legacy)](https://platform.openai.com/docs/api-reference/completions) |  | --- `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 |  | ### Embedding See [common embedding span definition](./gen-ai-spans.md#embeddings). ## Metrics Azure AI Inference metrics follow generic [Generative AI metrics](gen-ai-metrics.md). [DocumentStatus]: https://opentelemetry.io/docs/specs/otel/document-status