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Jul 18, 2025
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feat:@coderabbitai #230

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4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.CohereClient.Chat.g.cs
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Expand Up @@ -26,7 +26,7 @@ partial void ProcessChatResponseContent(
ref string content);

/// <summary>
/// Chat V1 API<br/>
/// Chat API (v1)<br/>
/// Generates a text response to a user message.<br/>
/// To learn how to use the Chat API and RAG follow our [Text Generation guides](https://docs.cohere.com/docs/chat-api).
/// </summary>
Expand Down Expand Up @@ -634,7 +634,7 @@ partial void ProcessChatResponseContent(
}

/// <summary>
/// Chat V1 API<br/>
/// Chat API (v1)<br/>
/// Generates a text response to a user message.<br/>
/// To learn how to use the Chat API and RAG follow our [Text Generation guides](https://docs.cohere.com/docs/chat-api).
/// </summary>
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.CohereClient.Chatv2.g.cs
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Expand Up @@ -24,7 +24,7 @@ partial void ProcessChatv2ResponseContent(
ref string content);

/// <summary>
/// Chat V2 API<br/>
/// Chat API (v2)<br/>
/// Generates a text response to a user message and streams it down, token by token. To learn how to use the Chat API with streaming follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).<br/>
/// Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
/// </summary>
Expand Down Expand Up @@ -624,7 +624,7 @@ partial void ProcessChatv2ResponseContent(
}

/// <summary>
/// Chat V2 API<br/>
/// Chat API (v2)<br/>
/// Generates a text response to a user message and streams it down, token by token. To learn how to use the Chat API with streaming follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).<br/>
/// Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
/// </summary>
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.CohereClient.Embed.g.cs
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Expand Up @@ -24,7 +24,7 @@ partial void ProcessEmbedResponseContent(
ref string content);

/// <summary>
/// Embed V1 API<br/>
/// Embed API (v1)<br/>
/// This endpoint returns text and image embeddings. An embedding is a list of floating point numbers that captures semantic information about the content that it represents.<br/>
/// Embeddings can be used to create classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
Expand Down Expand Up @@ -625,7 +625,7 @@ partial void ProcessEmbedResponseContent(
}

/// <summary>
/// Embed V1 API<br/>
/// Embed API (v1)<br/>
/// This endpoint returns text and image embeddings. An embedding is a list of floating point numbers that captures semantic information about the content that it represents.<br/>
/// Embeddings can be used to create classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.CohereClient.Embedv2.g.cs
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Expand Up @@ -24,7 +24,7 @@ partial void ProcessEmbedv2ResponseContent(
ref string content);

/// <summary>
/// Embed V2 API<br/>
/// Embed API (v2)<br/>
/// This endpoint returns text embeddings. An embedding is a list of floating point numbers that captures semantic information about the text that it represents.<br/>
/// Embeddings can be used to create text classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
Expand Down Expand Up @@ -625,7 +625,7 @@ partial void ProcessEmbedv2ResponseContent(
}

/// <summary>
/// Embed V2 API<br/>
/// Embed API (v2)<br/>
/// This endpoint returns text embeddings. An embedding is a list of floating point numbers that captures semantic information about the text that it represents.<br/>
/// Embeddings can be used to create text classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
Expand Down
3 changes: 2 additions & 1 deletion src/libs/Cohere/Generated/Cohere.CohereClient.Generate.g.cs
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Expand Up @@ -654,7 +654,8 @@ partial void ProcessGenerateResponseContent(
/// Included only in requests
/// </param>
/// <param name="model">
/// The identifier of the model to generate with.<br/>
/// The identifier of the model to generate with. Currently available models are `command` (default), `command-nightly` (experimental), `command-light`, and `command-light-nightly` (experimental).<br/>
/// Smaller, "light" models are faster, while larger models will perform better. [Custom models](https://docs.cohere.com/docs/training-custom-models) can also be supplied with their full ID.<br/>
/// Included only in requests
/// </param>
/// <param name="numGenerations">
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.CohereClient.Rerank.g.cs
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Expand Up @@ -24,7 +24,7 @@ partial void ProcessRerankResponseContent(
ref string content);

/// <summary>
/// Rerank V1 API<br/>
/// Rerank API (v1)<br/>
/// This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.
/// </summary>
/// <param name="xClientName"></param>
Expand Down Expand Up @@ -623,7 +623,7 @@ partial void ProcessRerankResponseContent(
}

/// <summary>
/// Rerank V1 API<br/>
/// Rerank API (v1)<br/>
/// This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.
/// </summary>
/// <param name="xClientName"></param>
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.CohereClient.Rerankv2.g.cs
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Expand Up @@ -24,7 +24,7 @@ partial void ProcessRerankv2ResponseContent(
ref string content);

/// <summary>
/// Rerank V2 API<br/>
/// Rerank API (v2)<br/>
/// This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.
/// </summary>
/// <param name="xClientName"></param>
Expand Down Expand Up @@ -623,7 +623,7 @@ partial void ProcessRerankv2ResponseContent(
}

/// <summary>
/// Rerank V2 API<br/>
/// Rerank API (v2)<br/>
/// This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.
/// </summary>
/// <param name="xClientName"></param>
Expand Down
2 changes: 1 addition & 1 deletion src/libs/Cohere/Generated/Cohere.CohereClient.Summarize.g.cs
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Expand Up @@ -653,7 +653,7 @@ partial void ProcessSummarizeResponseContent(
/// Included only in requests
/// </param>
/// <param name="model">
/// The identifier of the model to generate the summary with.<br/>
/// The identifier of the model to generate the summary with. Currently available models are `command` (default), `command-nightly` (experimental), `command-light`, and `command-light-nightly` (experimental). Smaller, "light" models are faster, while larger models will perform better.<br/>
/// Included only in requests
/// </param>
/// <param name="temperature">
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.ICohereClient.Chat.g.cs
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Expand Up @@ -5,7 +5,7 @@ namespace Cohere
public partial interface ICohereClient
{
/// <summary>
/// Chat V1 API<br/>
/// Chat API (v1)<br/>
/// Generates a text response to a user message.<br/>
/// To learn how to use the Chat API and RAG follow our [Text Generation guides](https://docs.cohere.com/docs/chat-api).
/// </summary>
Expand All @@ -21,7 +21,7 @@ public partial interface ICohereClient
global::System.Threading.CancellationToken cancellationToken = default);

/// <summary>
/// Chat V1 API<br/>
/// Chat API (v1)<br/>
/// Generates a text response to a user message.<br/>
/// To learn how to use the Chat API and RAG follow our [Text Generation guides](https://docs.cohere.com/docs/chat-api).
/// </summary>
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.ICohereClient.Chatv2.g.cs
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Expand Up @@ -5,7 +5,7 @@ namespace Cohere
public partial interface ICohereClient
{
/// <summary>
/// Chat V2 API<br/>
/// Chat API (v2)<br/>
/// Generates a text response to a user message and streams it down, token by token. To learn how to use the Chat API with streaming follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).<br/>
/// Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
/// </summary>
Expand All @@ -19,7 +19,7 @@ public partial interface ICohereClient
global::System.Threading.CancellationToken cancellationToken = default);

/// <summary>
/// Chat V2 API<br/>
/// Chat API (v2)<br/>
/// Generates a text response to a user message and streams it down, token by token. To learn how to use the Chat API with streaming follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).<br/>
/// Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
/// </summary>
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.ICohereClient.Embed.g.cs
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Expand Up @@ -5,7 +5,7 @@ namespace Cohere
public partial interface ICohereClient
{
/// <summary>
/// Embed V1 API<br/>
/// Embed API (v1)<br/>
/// This endpoint returns text and image embeddings. An embedding is a list of floating point numbers that captures semantic information about the content that it represents.<br/>
/// Embeddings can be used to create classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
Expand All @@ -20,7 +20,7 @@ public partial interface ICohereClient
global::System.Threading.CancellationToken cancellationToken = default);

/// <summary>
/// Embed V1 API<br/>
/// Embed API (v1)<br/>
/// This endpoint returns text and image embeddings. An embedding is a list of floating point numbers that captures semantic information about the content that it represents.<br/>
/// Embeddings can be used to create classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.ICohereClient.Embedv2.g.cs
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Expand Up @@ -5,7 +5,7 @@ namespace Cohere
public partial interface ICohereClient
{
/// <summary>
/// Embed V2 API<br/>
/// Embed API (v2)<br/>
/// This endpoint returns text embeddings. An embedding is a list of floating point numbers that captures semantic information about the text that it represents.<br/>
/// Embeddings can be used to create text classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
Expand All @@ -20,7 +20,7 @@ public partial interface ICohereClient
global::System.Threading.CancellationToken cancellationToken = default);

/// <summary>
/// Embed V2 API<br/>
/// Embed API (v2)<br/>
/// This endpoint returns text embeddings. An embedding is a list of floating point numbers that captures semantic information about the text that it represents.<br/>
/// Embeddings can be used to create text classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
Expand Down
3 changes: 2 additions & 1 deletion src/libs/Cohere/Generated/Cohere.ICohereClient.Generate.g.cs
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Expand Up @@ -49,7 +49,8 @@ public partial interface ICohereClient
/// Included only in requests
/// </param>
/// <param name="model">
/// The identifier of the model to generate with.<br/>
/// The identifier of the model to generate with. Currently available models are `command` (default), `command-nightly` (experimental), `command-light`, and `command-light-nightly` (experimental).<br/>
/// Smaller, "light" models are faster, while larger models will perform better. [Custom models](https://docs.cohere.com/docs/training-custom-models) can also be supplied with their full ID.<br/>
/// Included only in requests
/// </param>
/// <param name="numGenerations">
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.ICohereClient.Rerank.g.cs
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Expand Up @@ -5,7 +5,7 @@ namespace Cohere
public partial interface ICohereClient
{
/// <summary>
/// Rerank V1 API<br/>
/// Rerank API (v1)<br/>
/// This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.
/// </summary>
/// <param name="xClientName"></param>
Expand All @@ -18,7 +18,7 @@ public partial interface ICohereClient
global::System.Threading.CancellationToken cancellationToken = default);

/// <summary>
/// Rerank V1 API<br/>
/// Rerank API (v1)<br/>
/// This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.
/// </summary>
/// <param name="xClientName"></param>
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.ICohereClient.Rerankv2.g.cs
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Expand Up @@ -5,7 +5,7 @@ namespace Cohere
public partial interface ICohereClient
{
/// <summary>
/// Rerank V2 API<br/>
/// Rerank API (v2)<br/>
/// This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.
/// </summary>
/// <param name="xClientName"></param>
Expand All @@ -18,7 +18,7 @@ public partial interface ICohereClient
global::System.Threading.CancellationToken cancellationToken = default);

/// <summary>
/// Rerank V2 API<br/>
/// Rerank API (v2)<br/>
/// This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.
/// </summary>
/// <param name="xClientName"></param>
Expand Down
2 changes: 1 addition & 1 deletion src/libs/Cohere/Generated/Cohere.ICohereClient.Summarize.g.cs
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Expand Up @@ -48,7 +48,7 @@ public partial interface ICohereClient
/// Included only in requests
/// </param>
/// <param name="model">
/// The identifier of the model to generate the summary with.<br/>
/// The identifier of the model to generate the summary with. Currently available models are `command` (default), `command-nightly` (experimental), `command-light`, and `command-light-nightly` (experimental). Smaller, "light" models are faster, while larger models will perform better.<br/>
/// Included only in requests
/// </param>
/// <param name="temperature">
Expand Down
6 changes: 4 additions & 2 deletions src/libs/Cohere/Generated/Cohere.Models.GenerateRequest.g.cs
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Expand Up @@ -41,7 +41,8 @@ public sealed partial class GenerateRequest
public int? MaxTokens { get; set; }

/// <summary>
/// The identifier of the model to generate with.<br/>
/// The identifier of the model to generate with. Currently available models are `command` (default), `command-nightly` (experimental), `command-light`, and `command-light-nightly` (experimental).<br/>
/// Smaller, "light" models are faster, while larger models will perform better. [Custom models](https://docs.cohere.com/docs/training-custom-models) can also be supplied with their full ID.<br/>
/// Included only in requests
/// </summary>
[global::System.Text.Json.Serialization.JsonPropertyName("model")]
Expand Down Expand Up @@ -184,7 +185,8 @@ public sealed partial class GenerateRequest
/// Included only in requests
/// </param>
/// <param name="model">
/// The identifier of the model to generate with.<br/>
/// The identifier of the model to generate with. Currently available models are `command` (default), `command-nightly` (experimental), `command-light`, and `command-light-nightly` (experimental).<br/>
/// Smaller, "light" models are faster, while larger models will perform better. [Custom models](https://docs.cohere.com/docs/training-custom-models) can also be supplied with their full ID.<br/>
/// Included only in requests
/// </param>
/// <param name="numGenerations">
Expand Down
4 changes: 2 additions & 2 deletions src/libs/Cohere/Generated/Cohere.Models.SummarizeRequest.g.cs
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Expand Up @@ -43,7 +43,7 @@ public sealed partial class SummarizeRequest
public global::Cohere.SummarizeRequestLength? Length { get; set; }

/// <summary>
/// The identifier of the model to generate the summary with.<br/>
/// The identifier of the model to generate the summary with. Currently available models are `command` (default), `command-nightly` (experimental), `command-light`, and `command-light-nightly` (experimental). Smaller, "light" models are faster, while larger models will perform better.<br/>
/// Included only in requests
/// </summary>
[global::System.Text.Json.Serialization.JsonPropertyName("model")]
Expand Down Expand Up @@ -93,7 +93,7 @@ public sealed partial class SummarizeRequest
/// Included only in requests
/// </param>
/// <param name="model">
/// The identifier of the model to generate the summary with.<br/>
/// The identifier of the model to generate the summary with. Currently available models are `command` (default), `command-nightly` (experimental), `command-light`, and `command-light-nightly` (experimental). Smaller, "light" models are faster, while larger models will perform better.<br/>
/// Included only in requests
/// </param>
/// <param name="temperature">
Expand Down
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