> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Azure AI Foundry

The Azure AI Foundry model provides access to Azure-hosted AI Foundry models.

## Parameters

| Parameter                            | Type                                   | Default            | Description                                                                               |
| ------------------------------------ | -------------------------------------- | ------------------ | ----------------------------------------------------------------------------------------- |
| `id`                                 | `str`                                  | `"gpt-4o"`         | The id of the model to use                                                                |
| `name`                               | `str`                                  | `"AzureAIFoundry"` | The name of the model                                                                     |
| `provider`                           | `str`                                  | `"Azure"`          | The provider of the model                                                                 |
| `temperature`                        | `Optional[float]`                      | `None`             | Controls randomness in the model's output (0.0 to 2.0)                                    |
| `max_tokens`                         | `Optional[int]`                        | `None`             | Maximum number of tokens to generate in the response                                      |
| `frequency_penalty`                  | `Optional[float]`                      | `None`             | Penalizes new tokens based on their frequency in the text so far (-2.0 to 2.0)            |
| `presence_penalty`                   | `Optional[float]`                      | `None`             | Penalizes new tokens based on whether they appear in the text so far (-2.0 to 2.0)        |
| `top_p`                              | `Optional[float]`                      | `None`             | Controls diversity via nucleus sampling (0.0 to 1.0)                                      |
| `stop`                               | `Optional[Union[str, List[str]]]`      | `None`             | Up to 4 sequences where the API will stop generating further tokens                       |
| `seed`                               | `Optional[int]`                        | `None`             | Random seed for deterministic sampling                                                    |
| `model_extras`                       | `Optional[Dict[str, Any]]`             | `None`             | Additional model-specific parameters                                                      |
| `strict_output`                      | `bool`                                 | `True`             | Controls schema adherence for structured outputs                                          |
| `request_params`                     | `Optional[Dict[str, Any]]`             | `None`             | Additional parameters to include in the request                                           |
| `api_key`                            | `Optional[str]`                        | `None`             | The API key for Azure AI Foundry (defaults to AZURE\_API\_KEY env var)                    |
| `api_version`                        | `Optional[str]`                        | `None`             | The API version to use (defaults to AZURE\_API\_VERSION env var)                          |
| `azure_endpoint`                     | `Optional[str]`                        | `None`             | The Azure endpoint URL (defaults to AZURE\_ENDPOINT env var)                              |
| `timeout`                            | `Optional[float]`                      | `None`             | Request timeout in seconds                                                                |
| `max_retries`                        | `Optional[int]`                        | `None`             | Maximum number of retries for failed requests                                             |
| `http_client`                        | `Optional[httpx.Client]`               | `None`             | HTTP client instance for making requests                                                  |
| `client_params`                      | `Optional[Dict[str, Any]]`             | `None`             | Additional parameters for client configuration                                            |
| `client`                             | `Optional[ChatCompletionsClient]`      | `None`             | Pre-configured Azure AI client                                                            |
| `async_client`                       | `Optional[AsyncChatCompletionsClient]` | `None`             | Pre-configured async Azure AI client                                                      |
| `model_type`                         | `ModelType`                            | `ModelType.MODEL`  | Functional role of this model (`MODEL`, `OUTPUT_MODEL`, `PARSER_MODEL`). Set by the agent |
| `supports_native_structured_outputs` | `bool`                                 | `False`            | Whether the model supports structured outputs natively                                    |
| `supports_json_schema_outputs`       | `bool`                                 | `False`            | Whether the model uses JSON schema for structured outputs                                 |
| `system_prompt`                      | `Optional[str]`                        | `None`             | System prompt from the model added to the agent                                           |
| `instructions`                       | `Optional[List[str]]`                  | `None`             | Instructions from the model added to the agent                                            |
| `tool_message_role`                  | `str`                                  | `"tool"`           | Role of tool messages                                                                     |
| `assistant_message_role`             | `str`                                  | `"assistant"`      | Role of assistant messages                                                                |
| `cache_response`                     | `bool`                                 | `False`            | Cache model responses to avoid redundant API calls during development                     |
| `cache_ttl`                          | `Optional[int]`                        | `None`             | Time-to-live for cached responses, in seconds                                             |
| `cache_dir`                          | `Optional[str]`                        | `None`             | Directory for the response cache. Defaults to `~/.agno/cache/model_responses`             |
| `retries`                            | `int`                                  | `0`                | Number of retries to attempt before raising a ModelProviderError                          |
| `delay_between_retries`              | `int`                                  | `1`                | Delay between retries, in seconds                                                         |
| `exponential_backoff`                | `bool`                                 | `False`            | If True, the delay between retries is doubled each time                                   |
| `retry_with_guidance`                | `bool`                                 | `True`             | Retry a failed model invocation once with a guidance message appended                     |
| `retry_with_guidance_limit`          | `int`                                  | `1`                | Number of times to retry the model invocation with guidance                               |