fix links

Author: mrbullwinkle

articles/ai-services/openai/includes/api-versions/latest-inference-preview.md

@@ -276,7 +276,7 @@ Creates a completion for the chat message
 | logprobs | boolean | Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. | No | False |
 | top_logprobs | integer | An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used. | No |  |
 | n | integer | How many chat completion choices to generate for each input message. Note that you'll be charged based on the number of generated tokens across all of the choices. Keep `n` as `1` to minimize costs. | No | 1 |
-| response_format | [ResponseFormatText](#responseformattext) or [ResponseFormatJsonObject](#responseformatjsonobject) or [ResponseFormatJsonSchema](#responseformatjsonschema) | An object specifying the format that the model must output. Compatible with [GPT-4o](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models), [GPT-4o mini](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models), [GPT-4 Turbo](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models) and all [GPT-3.5](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#gpt-35) Turbo models newer than `gpt-3.5-turbo-1106`.<br><br>Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which guarantees the model will match your supplied JSON schema.<br><br>Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.<br><br>**Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.<br> | No |  |
+| response_format | [ResponseFormatText](#responseformattext) or [ResponseFormatJsonObject](#responseformatjsonobject) or [ResponseFormatJsonSchema](#responseformatjsonschema) | An object specifying the format that the model must output. Compatible with [GPT-4o](/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models), [GPT-4o mini](/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models), [GPT-4 Turbo](/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models) and all [GPT-3.5](/azure/ai-services/openai/concepts/models#gpt-35) Turbo models newer than `gpt-3.5-turbo-1106`.<br><br>Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which guarantees the model will match your supplied JSON schema.<br><br>Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.<br><br>**Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.<br> | No |  |
 | seed | integer | This feature is in Beta.<br>If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result.<br>Determinism isn't guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend.<br> | No |  |
 | tools | array | A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.<br> | No |  |
 | tool_choice | [chatCompletionToolChoiceOption](#chatcompletiontoolchoiceoption) | Controls which (if any) tool is called by the model. `none` means the model won't call any tool and instead generates a message. `auto` means the model can pick between generating a message or calling one or more tools. `required` means the model must call one or more tools. Specifying a particular tool via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. `none` is the default when no tools are present. `auto` is the default if tools are present. | No |  |
@@ -4567,7 +4567,7 @@ Represents a completion response from the API. Note: both the streamed and nonst
 | logprobs | boolean | Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. | No | False |
 | top_logprobs | integer | An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used. | No |  |
 | n | integer | How many chat completion choices to generate for each input message. Note that you'll be charged based on the number of generated tokens across all of the choices. Keep `n` as `1` to minimize costs. | No | 1 |
-| response_format | [ResponseFormatText](#responseformattext) or [ResponseFormatJsonObject](#responseformatjsonobject) or [ResponseFormatJsonSchema](#responseformatjsonschema) | An object specifying the format that the model must output. Compatible with [GPT-4o](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models), [GPT-4o mini](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models), [GPT-4 Turbo](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models) and all [GPT-3.5](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#gpt-35) Turbo models newer than `gpt-3.5-turbo-1106`.<br><br>Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which guarantees the model will match your supplied JSON schema.<br><br>Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.<br><br>**Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.<br> | No |  |
+| response_format | [ResponseFormatText](#responseformattext) or [ResponseFormatJsonObject](#responseformatjsonobject) or [ResponseFormatJsonSchema](#responseformatjsonschema) | An object specifying the format that the model must output. Compatible with [GPT-4o](/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models), [GPT-4o mini](/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models), [GPT-4 Turbo](/azure/ai-services/openai/concepts/models#gpt-4-and-gpt-4-turbo-models) and all [GPT-3.5](/azure/ai-services/openai/concepts/models#gpt-35) Turbo models newer than `gpt-3.5-turbo-1106`.<br><br>Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which guarantees the model will match your supplied JSON schema.<br><br>Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.<br><br>**Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.<br> | No |  |
 | seed | integer | This feature is in Beta.<br>If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result.<br>Determinism isn't guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend.<br> | No |  |
 | tools | array | A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.<br> | No |  |
 | tool_choice | [chatCompletionToolChoiceOption](#chatcompletiontoolchoiceoption) | Controls which (if any) tool is called by the model. `none` means the model won't call any tool and instead generates a message. `auto` means the model can pick between generating a message or calling one or more tools. `required` means the model must call one or more tools. Specifying a particular tool via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. `none` is the default when no tools are present. `auto` is the default if tools are present. | No |  |
@@ -4583,7 +4583,7 @@ Represents a completion response from the API. Note: both the streamed and nonst
 |------|------|-------------|----------|---------|
 | description | string | A description of what the function does, used by the model to choose when and how to call the function. | No |  |
 | name | string | The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. | Yes |  |
-| parameters | [FunctionParameters](#functionparameters) | The parameters the functions accepts, described as a JSON Schema object. See the guide](https://learn.microsoft.com/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. <br><br>Omitting `parameters` defines a function with an empty parameter list. | No |  |
+| parameters | [FunctionParameters](#functionparameters) | The parameters the functions accepts, described as a JSON Schema object. See the guide](/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. <br><br>Omitting `parameters` defines a function with an empty parameter list. | No |  |
 
 
 ### chatCompletionFunctionCallOption
@@ -4598,7 +4598,7 @@ Specifying a particular function via `{"name": "my_function"}` forces the model
 
 ### chatCompletionFunctionParameters
 
-The parameters the functions accepts, described as a JSON Schema object. See the [guide/](https://learn.microsoft.com/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format.
+The parameters the functions accepts, described as a JSON Schema object. See the [guide/](/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format.
 
 No properties defined for this component.
 
@@ -4743,7 +4743,7 @@ This component can be one of the following:
 
 | Name | Type | Description | Default |
 |------|------|-------------|--------|
-| detail | string | Specifies the detail level of the image. Learn more in the [Vision guide](https://learn.microsoft.com/azure/ai-services/openai/how-to/gpt-with-vision?tabs=rest%2Csystem-assigned%2Cresource#detail-parameter-settings-in-image-processing-low-high-auto). | auto |
+| detail | string | Specifies the detail level of the image. Learn more in the [Vision guide](/azure/ai-services/openai/how-to/gpt-with-vision?tabs=rest%2Csystem-assigned%2Cresource#detail-parameter-settings-in-image-processing-low-high-auto). | auto |
 
 
 ### chatCompletionRequestMessageContentPartRefusal
@@ -5638,7 +5638,7 @@ Usage statistics for the completion request.
 
 ### FunctionParameters
 
-The parameters the functions accepts, described as a JSON Schema object. See the guide](https://learn.microsoft.com/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. 
+The parameters the functions accepts, described as a JSON Schema object. See the guide](/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. 
 
 Omitting `parameters` defines a function with an empty parameter list.
 
@@ -5653,7 +5653,7 @@ No properties defined for this component.
 |------|------|-------------|----------|---------|
 | description | string | A description of what the function does, used by the model to choose when and how to call the function. | No |  |
 | name | string | The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. | Yes |  |
-| parameters | [FunctionParameters](#functionparameters) | The parameters the functions accepts, described as a JSON Schema object. See the guide](https://learn.microsoft.com/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. <br><br>Omitting `parameters` defines a function with an empty parameter list. | No |  |
+| parameters | [FunctionParameters](#functionparameters) | The parameters the functions accepts, described as a JSON Schema object. See the guide](/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. <br><br>Omitting `parameters` defines a function with an empty parameter list. | No |  |
 | strict | boolean | Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](docs/guides/function-calling). | No | False |
 
 
@@ -6210,7 +6210,7 @@ Represents an `assistant` that can call the model and use tools.
 
 | Name | Type | Description | Default |
 |------|------|-------------|--------|
-| max_num_results | integer | The maximum number of results the file search tool should output. The default is 20 for gpt-4* models and 5 for gpt-3.5-turbo. This number should be between 1 and 50 inclusive.<br><br>Note that the file search tool may output fewer than `max_num_results` results. See the [file search tool documentation](/docs/assistants/tools/file-search/number-of-chunks-returned) for more information.<br> |  |
+| max_num_results | integer | The maximum number of results the file search tool should output. The default is 20 for gpt-4* models and 5 for gpt-3.5-turbo. This number should be between 1 and 50 inclusive.<br><br>Note that the file search tool may output fewer than `max_num_results` results. See the file search tool documentation for more information.<br> |  |
 
 
 
@@ -6266,7 +6266,7 @@ Represents an `assistant` that can call the model and use tools.
 
 | Name | Type | Description | Default |
 |------|------|-------------|--------|
-| parameters | [chatCompletionFunctionParameters](#chatcompletionfunctionparameters) | The parameters the functions accepts, described as a JSON Schema object. See the [guide/](https://learn.microsoft.com/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. |  |
+| parameters | [chatCompletionFunctionParameters](#chatcompletionfunctionparameters) | The parameters the functions accepts, described as a JSON Schema object. See the [guide/](/azure/ai-services/openai/how-to/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. |  |