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fix: Fixed some typo in the documentation and comments. #3678

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Jun 26, 2025
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fix: Fixed some typo in the documentation and comments. #3678

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2 changes: 1 addition & 1 deletion mcp/common/src/main/java/org/springframework/ai/mcp/McpToolUtils.java
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Expand Up @@ -278,7 +278,7 @@ public static McpServerFeatures.AsyncToolSpecification toAsyncToolSpecification(
* </ul>
* @param toolCallback the Spring AI tool callback to convert
* @param mimeType the MIME type of the output content
* @return an MCP asynchronous tool specificaiotn that wraps the tool callback
* @return an MCP asynchronous tool specification that wraps the tool callback
* @see McpServerFeatures.AsyncToolSpecification
* @see Schedulers#boundedElastic()
*/
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2 changes: 1 addition & 1 deletion spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chatclient.adoc
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Expand Up @@ -296,7 +296,7 @@ Flux<String> output = chatClient.prompt()
You can also stream the `ChatResponse` using the method `Flux<ChatResponse> chatResponse()`.

In the future, we will offer a convenience method that will let you return a Java entity with the reactive `stream()` method.
In the meantime, you should use the xref:api/structured-output-converter.adoc#StructuredOutputConverter[Structured Output Converter] to convert the aggregated response explicity as shown below.
In the meantime, you should use the xref:api/structured-output-converter.adoc#StructuredOutputConverter[Structured Output Converter] to convert the aggregated response explicitly as shown below.
This also demonstrates the use of parameters in the fluent API that will be discussed in more detail in a later section of the documentation.

[source,java]
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2 changes: 1 addition & 1 deletion .../src/main/antora/modules/ROOT/pages/api/embeddings/azure-openai-embeddings.adoc
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Expand Up @@ -145,7 +145,7 @@ The prefix `spring.ai.azure.openai` is the property prefix to configure the conn
| spring.ai.azure.openai.endpoint | The endpoint from the Azure AI OpenAI `Keys and Endpoint` section under `Resource Management` | -
| spring.ai.azure.openai.openai-api-key | (non Azure) OpenAI API key. Used to authenticate with the OpenAI service, instead of Azure OpenAI.
This automatically sets the endpoint to https://api.openai.com/v1. Use either `api-key` or `openai-api-key` property.
With this configuration the `spring.ai.azure.openai.embedding.options.deployment-name` is threated as an https://platform.openai.com/docs/models[OpenAi Model] name.| -
With this configuration the `spring.ai.azure.openai.embedding.options.deployment-name` is treated as an https://platform.openai.com/docs/models[OpenAi Model] name.| -
|====


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2 changes: 1 addition & 1 deletion spring-ai-docs/src/main/antora/modules/ROOT/pages/observability/index.adoc
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Expand Up @@ -116,7 +116,7 @@ They measure the time spent in the advisor (including the time spend on the inne
== Chat Model

NOTE: Observability features are currently supported only for `ChatModel` implementations from the following AI model
providers: Anthropic, Azure OpenAI, Mistral AI, Ollama, OpenAI, Vertex AI, MiniMax, Moonshot, QianFan, Zhiu AI.
providers: Anthropic, Azure OpenAI, Mistral AI, Ollama, OpenAI, Vertex AI, MiniMax, Moonshot, QianFan, Zhipu AI.
Additional AI model providers will be supported in a future release.

The `gen_ai.client.operation` observations are recorded when calling the ChatModel `call` or `stream` methods.
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