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fix: Typo at the codebase

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fix: correct name typo from 'AsynClients' to 'AsyncClients'

fix: correct name typo from 'Autoconfiguration' to 'AutoConfiguration', 'optoins' to 'options'

fix: correct name typo from 'Differnt' to 'Different'

fix: correct name typo from 'Compatability' to 'Compatibility'

fix: correct name typo from 'Evalutaor' to 'Evaluator'

fix: correct name typo from 'Empyt' to 'Empty'

fix: correct name typo from 'Chroma Vecor Store' to 'Chroma Vector Store'

fix: correct name typo from 'Specificaiton' to 'Specification'

fix: correct name typo from 'applicaiton' to 'application'

fix: correct name typo from 'apropriate' to 'appropriate'

fix: correct name typo from 'asigned' to 'assigned'

fix: correct name typo from 'capabilitity' to 'capability'

fix: correct name typo from 'configuraiton' to 'configuration'

fix: correct name typo from 'conntection' to 'connection'

fix: correct name typo from 'curent' to 'current'

fix: correct name typo from 'customised' to 'customized'

Signed-off-by: Changho Kim <dukso4885@gmail.com>
This commit is contained in:
Changho Kim
2025-04-21 15:31:59 +09:00
committed by Ilayaperumal Gopinathan
parent f759883c6c
commit 2e0017db49
20 changed files with 35 additions and 35 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
auto-configurations/mcp/spring-ai-autoconfigure-mcp-client/src/main/java/org/springframework/ai/mcp/client/autoconfigure/McpClientAutoConfiguration.java
View File

@@ -244,7 +244,7 @@ public class McpClientAutoConfiguration {
@Bean
@ConditionalOnProperty(prefix = McpClientCommonProperties.CONFIG_PREFIX, name = "type", havingValue = "ASYNC")
public CloseableMcpAsyncClients makeAsynClientsClosable(List<McpAsyncClient> clients) {
public CloseableMcpAsyncClients makeAsyncClientsClosable(List<McpAsyncClient> clients) {
return new CloseableMcpAsyncClients(clients);
}

6
auto-configurations/mcp/spring-ai-autoconfigure-mcp-client/src/main/java/org/springframework/ai/mcp/client/autoconfigure/McpToolCallbackAutoConfiguration.java
View File

@@ -37,7 +37,7 @@ import org.springframework.context.annotation.Conditional;
*/
@AutoConfiguration(after = { McpClientAutoConfiguration.class })
@EnableConfigurationProperties(McpClientCommonProperties.class)
@Conditional(McpToolCallbackAutoConfiguration.McpToolCallbackAutoconfigurationCondition.class)
@Conditional(McpToolCallbackAutoConfiguration.McpToolCallbackAutoConfigurationCondition.class)
public class McpToolCallbackAutoConfiguration {
/**
@@ -64,9 +64,9 @@ public class McpToolCallbackAutoConfiguration {
return new AsyncMcpToolCallbackProvider(mcpClients);
}
public static class McpToolCallbackAutoconfigurationCondition extends AllNestedConditions {
public static class McpToolCallbackAutoConfigurationCondition extends AllNestedConditions {
public McpToolCallbackAutoconfigurationCondition() {
public McpToolCallbackAutoConfigurationCondition() {
super(ConfigurationPhase.PARSE_CONFIGURATION);
}

8
auto-configurations/mcp/spring-ai-autoconfigure-mcp-client/src/test/java/org/springframework/ai/mcp/client/autoconfigure/McpToolCallbackAutoconfigurationConditionTests.java → auto-configurations/mcp/spring-ai-autoconfigure-mcp-client/src/test/java/org/springframework/ai/mcp/client/autoconfigure/McpToolCallbackAutoConfigurationConditionTests.java
View File

@@ -18,7 +18,7 @@ package org.springframework.ai.mcp.client.autoconfigure;
import org.junit.jupiter.api.Test;
import org.springframework.ai.mcp.client.autoconfigure.McpToolCallbackAutoConfiguration.McpToolCallbackAutoconfigurationCondition;
import org.springframework.ai.mcp.client.autoconfigure.McpToolCallbackAutoConfiguration.McpToolCallbackAutoConfigurationCondition;
import org.springframework.boot.test.context.runner.ApplicationContextRunner;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Conditional;
@@ -27,9 +27,9 @@ import org.springframework.context.annotation.Configuration;
import static org.assertj.core.api.Assertions.assertThat;
/**
* Tests for {@link McpToolCallbackAutoconfigurationCondition}.
* Tests for {@link McpToolCallbackAutoConfigurationCondition}.
*/
public class McpToolCallbackAutoconfigurationConditionTests {
public class McpToolCallbackAutoConfigurationConditionTests {
private final ApplicationContextRunner contextRunner = new ApplicationContextRunner()
.withUserConfiguration(TestConfiguration.class);
@@ -78,7 +78,7 @@ public class McpToolCallbackAutoconfigurationConditionTests {
}
@Configuration
@Conditional(McpToolCallbackAutoconfigurationCondition.class)
@Conditional(McpToolCallbackAutoConfigurationCondition.class)
static class TestConfiguration {
@Bean

4
auto-configurations/mcp/spring-ai-autoconfigure-mcp-client/src/test/java/org/springframework/ai/mcp/client/autoconfigure/McpToolCallbackAutoConfigurationTests.java
View File

@@ -29,7 +29,7 @@ public class McpToolCallbackAutoConfigurationTests {
.withConfiguration(AutoConfigurations.of(McpToolCallbackAutoConfiguration.class));
@Test
void disabledByDeafault() {
void disabledByDefault() {
this.applicationContext.run(context -> {
assertThat(context).doesNotHaveBean("mcpToolCallbacks");
@@ -52,7 +52,7 @@ public class McpToolCallbackAutoConfigurationTests {
}
@Test
void enabledMcpToolCallbackAutoconfiguration() {
void enabledMcpToolCallbackAutoConfiguration() {
// sync
this.applicationContext.withPropertyValues("spring.ai.mcp.client.toolcallback.enabled=true").run(context -> {

4
auto-configurations/models/spring-ai-autoconfigure-model-anthropic/src/test/java/org/springframework/ai/model/anthropic/autoconfigure/AnthropicChatAutoConfigurationIT.java
View File

@@ -64,8 +64,8 @@ public class AnthropicChatAutoConfigurationIT {
"spring.ai.anthropic.chat.options.model=" + AnthropicApi.ChatModel.CLAUDE_3_5_SONNET.getValue())
.run(context -> {
AnthropicChatModel chatModel = context.getBean(AnthropicChatModel.class);
var optoins = AnthropicChatOptions.builder().maxTokens(8192).build();
var response = chatModel.call(new Prompt("Tell me a joke", optoins));
var options = AnthropicChatOptions.builder().maxTokens(8192).build();
var response = chatModel.call(new Prompt("Tell me a joke", options));
assertThat(response.getResult().getOutput().getText()).isNotEmpty();
logger.info("Response: " + response);
});

8
auto-configurations/models/spring-ai-autoconfigure-model-vertex-ai/src/test/java/org/springframework/ai/model/vertexai/autoconfigure/embedding/VertexAiTextEmbeddingModelAutoConfigurationIT.java
View File

@@ -54,10 +54,10 @@ public class VertexAiTextEmbeddingModelAutoConfigurationIT {
public void textEmbedding() {
this.contextRunner.withConfiguration(AutoConfigurations.of(VertexAiTextEmbeddingAutoConfiguration.class))
.run(context -> {
var conntectionProperties = context.getBean(VertexAiEmbeddingConnectionProperties.class);
var connectionProperties = context.getBean(VertexAiEmbeddingConnectionProperties.class);
var textEmbeddingProperties = context.getBean(VertexAiTextEmbeddingProperties.class);
assertThat(conntectionProperties).isNotNull();
assertThat(connectionProperties).isNotNull();
VertexAiTextEmbeddingModel embeddingModel = context.getBean(VertexAiTextEmbeddingModel.class);
assertThat(embeddingModel).isInstanceOf(VertexAiTextEmbeddingModel.class);
@@ -97,10 +97,10 @@ public class VertexAiTextEmbeddingModelAutoConfigurationIT {
public void multimodalEmbedding() {
this.contextRunner.withConfiguration(AutoConfigurations.of(VertexAiMultiModalEmbeddingAutoConfiguration.class))
.run(context -> {
var conntectionProperties = context.getBean(VertexAiEmbeddingConnectionProperties.class);
var connectionProperties = context.getBean(VertexAiEmbeddingConnectionProperties.class);
var multimodalEmbeddingProperties = context.getBean(VertexAiMultimodalEmbeddingProperties.class);
assertThat(conntectionProperties).isNotNull();
assertThat(connectionProperties).isNotNull();
VertexAiMultimodalEmbeddingModel multiModelEmbeddingModel = context
.getBean(VertexAiMultimodalEmbeddingModel.class);

2
mcp/common/src/test/java/org/springframework/ai/mcp/SyncMcpToolCallbackProviderTests.java
View File

@@ -98,7 +98,7 @@ class SyncMcpToolCallbackProviderTests {
}
@Test
void getSameNameToolsButDifferntClientInfoNamesShouldProduceDifferentToolCallbackNames() {
void getSameNameToolsButDifferentClientInfoNamesShouldProduceDifferentToolCallbackNames() {
Tool tool1 = mock(Tool.class);
when(tool1.name()).thenReturn("sameName");

10
mcp/common/src/test/java/org/springframework/ai/mcp/ToolUtilsTests.java
View File

@@ -97,7 +97,7 @@ class ToolUtilsTests {
}
@Test
void toSyncToolSpecificaitonShouldConvertSingleCallback() {
void toSyncToolSpecificationShouldConvertSingleCallback() {
ToolCallback callback = createMockToolCallback("test", "success");
@@ -138,7 +138,7 @@ class ToolUtilsTests {
}
@Test
void toAsyncToolSpecificaitonShouldConvertSingleCallback() {
void toAsyncToolSpecificationShouldConvertSingleCallback() {
ToolCallback callback = createMockToolCallback("test", "success");
AsyncToolSpecification toolSpecification = McpToolUtils.toAsyncToolSpecification(callback);
@@ -160,10 +160,10 @@ class ToolUtilsTests {
void toAsyncToolSpecificationShouldHandleError() {
ToolCallback callback = createMockToolCallback("test", new RuntimeException("error"));
AsyncToolSpecification toolSpecificaiton = McpToolUtils.toAsyncToolSpecification(callback);
AsyncToolSpecification toolSpecification = McpToolUtils.toAsyncToolSpecification(callback);
assertThat(toolSpecificaiton).isNotNull();
StepVerifier.create(toolSpecificaiton.call().apply(mock(McpAsyncServerExchange.class), Map.of()))
assertThat(toolSpecification).isNotNull();
StepVerifier.create(toolSpecification.call().apply(mock(McpAsyncServerExchange.class), Map.of()))
.assertNext(result -> {
TextContent content = (TextContent) result.content().get(0);
assertThat(content.text()).isEqualTo("error");

2
models/spring-ai-azure-openai/src/main/java/org/springframework/ai/azure/openai/AzureOpenAiResponseFormat.java
View File

@@ -27,7 +27,7 @@ public enum AzureOpenAiResponseFormat {
// default value used by OpenAI
TEXT,
/*
* From the OpenAI API documentation: Compatability: Compatible with GPT-4 Turbo and
* From the OpenAI API documentation: Compatibility: Compatible with GPT-4 Turbo and
* all GPT-3.5 Turbo models newer than gpt-3.5-turbo-1106. Caveats: This enables JSON
* mode, which guarantees the message the model generates is valid JSON. Important:
* when using JSON mode, you must also instruct the model to produce JSON yourself via

2
models/spring-ai-mistral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiChatModelIT.java
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@@ -94,7 +94,7 @@ class MistralAiChatModelIT {
protected Resource qaEvaluatorNotRelatedResource;
@Value("classpath:/prompts/eval/qa-evaluator-fact-based-answer.st")
protected Resource qaEvalutaorFactBasedAnswerResource;
protected Resource qaEvaluatorFactBasedAnswerResource;
@Value("classpath:/prompts/eval/user-evaluator-message.st")
protected Resource userEvaluatorResource;

2
models/spring-ai-vertex-ai-embedding/src/main/java/org/springframework/ai/vertexai/embedding/VertexAiEmbeddingConnectionDetails.java
View File

@@ -122,7 +122,7 @@ public class VertexAiEmbeddingConnectionDetails {
private String publisher;
/**
* Allows the connection settings to be customised
* Allows the connection settings to be customized
*/
private PredictionServiceSettings predictionServiceSettings;

2
models/spring-ai-vertex-ai-gemini/src/main/java/org/springframework/ai/vertexai/gemini/VertexAiGeminiChatModel.java
View File

@@ -545,7 +545,7 @@ public class VertexAiGeminiChatModel implements ChatModel, DisposableBean {
protected List<Generation> responseCandidateToGeneration(Candidate candidate) {
// TODO - The candidateIndex (e.g. choice must be asigned to the generation).
// TODO - The candidateIndex (e.g. choice must be assigned to the generation).
int candidateIndex = candidate.getIndex();
FinishReason candidateFinishReason = candidate.getFinishReason();

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/deepseek-chat.adoc
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@@ -174,7 +174,7 @@ TIP: In addition to the model specific https://github.com/spring-projects/spring
== Function Calling
NOTE: The current version of the deepseek-chat model's Function Calling capabilitity is unstable, which may result in looped calls or empty responses.
NOTE: The current version of the deepseek-chat model's Function Calling capability is unstable, which may result in looped calls or empty responses.
== Multimodal

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/vertexai-gemini-chat.adoc
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@@ -10,7 +10,7 @@ link:https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/gemin
== Prerequisites
- Install the link:https://cloud.google.com/sdk/docs/install[gcloud] CLI, apropriate for you OS.
- Install the link:https://cloud.google.com/sdk/docs/install[gcloud] CLI, appropriate for you OS.
- Authenticate by running the following command.
Replace `PROJECT_ID` with your Google Cloud project ID and `ACCOUNT` with your Google Cloud username.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/cloud-bindings.adoc
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@@ -38,7 +38,7 @@ The following are the components for which the cloud binding support is currentl
[cols="|,|"]
|====
| Service Type | Binding Type | Source Properties | Target Properties
| `Chroma Vecor Store`
| `Chroma Vector Store`
| `chroma` | `uri`, `username`, `passwor` | `spring.ai.vectorstore.chroma.client.host`, `spring.ai.vectorstore.chroma.client.port`, `spring.ai.vectorstore.chroma.client.username`, `spring.ai.vectorstore.chroma.client.host.password`
| `Mistral AI`

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/azure-openai-embeddings.adoc
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@@ -100,7 +100,7 @@ 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 configuraiton 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 threated as an https://platform.openai.com/docs/models[OpenAi Model] name.| -
|====

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/onnx.adoc
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@@ -129,7 +129,7 @@ that means that you model is larger than 2GB and is serialized in two files: `mo
The `model.onnx_data` is called link:https://onnx.ai/onnx/repo-docs/ExternalData.html#external-data[External Data] and is expected to be under the same directory of the `model.onnx`.
Currently the only workaround is to copy the large `model.onnx_data` in the folder you run your Boot applicaiton.
Currently the only workaround is to copy the large `model.onnx_data` in the folder you run your Boot application.
====
[NOTE]

4
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/mcp/mcp-helpers.adoc
View File

@@ -115,7 +115,7 @@ Async::
[source,java]
----
List<ToolCallback> toolCallbacks = // obtain tool callbacks
List<AsyncToolSpecification> asyncToolSpecificaitons = McpToolUtils.toAsyncToolSpecifications(toolCallbacks);
List<AsyncToolSpecification> asyncToolSpecifications = McpToolUtils.toAsyncToolSpecifications(toolCallbacks);
----
+
then you can use the `McpServer.AsyncSpecification` to register the tool specifications:
@@ -123,7 +123,7 @@ then you can use the `McpServer.AsyncSpecification` to register the tool specifi
[source,java]
----
McpServer.AsyncSpecification asyncSpec = ...
asyncSpec.tools(asyncToolSpecificaitons);
asyncSpec.tools(asyncToolSpecifications);
----
======

2
spring-ai-model/src/main/java/org/springframework/ai/chat/metadata/EmptyUsage.java
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@@ -19,7 +19,7 @@ package org.springframework.ai.chat.metadata;
import java.util.Map;
/**
* A EmpytUsage implementation that returns zero for all property getters
* A EmptyUsage implementation that returns zero for all property getters
*
* @author John Blum
* @author Ilayaperumal Gopinathan

2
spring-ai-model/src/main/java/org/springframework/ai/chat/metadata/UsageUtils.java
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@@ -43,7 +43,7 @@ public final class UsageUtils {
usageFromPreviousChatResponse = previousChatResponse.getMetadata().getUsage();
}
else {
// Return the curent usage when the previous chat response usage is empty or
// Return the current usage when the previous chat response usage is empty or
// null.
return currentUsage;
}