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style: Run dotnet format
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github-actions[bot] committed Aug 5, 2024
1 parent 50623a4 commit 6773f2b
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Showing 21 changed files with 177 additions and 177 deletions.
4 changes: 2 additions & 2 deletions src/Databases/Elasticsearch/src/ElasticsearchVectorCollection.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@ public async Task<bool> DeleteAsync(
CancellationToken cancellationToken = default)
{
ids = ids ?? throw new ArgumentNullException(nameof(ids));

throw new NotImplementedException();
// foreach (var id in ids)
// {
Expand Down Expand Up @@ -63,7 +63,7 @@ public async Task<VectorSearchResponse> SearchAsync(
{
request = request ?? throw new ArgumentNullException(nameof(request));
settings ??= new VectorSearchSettings();

throw new NotImplementedException();
// var response = await client.SearchAsync<MyDoc>(s => s
// .Index("my_index")
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20 changes: 10 additions & 10 deletions src/Databases/IntegrationTests/DatabaseTests.Configure.cs
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Expand Up @@ -137,18 +137,18 @@ private static async Task<DatabaseTestEnvironment> StartEnvironmentForAsync(Supp
VectorDatabase = new DuckDbVectorDatabase(store)
};
case SupportedDatabase.Elasticsearch:
{
var container = new ElasticsearchBuilder().Build();
{
var container = new ElasticsearchBuilder().Build();

await container.StartAsync(cancellationToken);
await container.StartAsync(cancellationToken);

var client = new ElasticsearchClient(new Uri($"http://localhost:{container.GetMappedPublicPort(9200)}"));
return new DatabaseTestEnvironment
{
VectorDatabase = new ElasticsearchVectorDatabase(client),
Container = container,
};
}
var client = new ElasticsearchClient(new Uri($"http://localhost:{container.GetMappedPublicPort(9200)}"));
return new DatabaseTestEnvironment
{
VectorDatabase = new ElasticsearchVectorDatabase(client),
Container = container,
};
}
case SupportedDatabase.Milvus:
{
var network = new NetworkBuilder()
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4 changes: 2 additions & 2 deletions src/Helpers/GenerateDocs/Program.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -7,10 +7,10 @@
{
var folder = Path.GetFileName(Path.GetDirectoryName(path) ?? string.Empty)?.Replace("LangChain.Samples.", string.Empty);
var code = await File.ReadAllTextAsync(path);

var newDir = Path.Combine(solutionDirectory, "docs", "samples");
Directory.CreateDirectory(newDir);

var newPath = Path.Combine(newDir, $"{folder}.md");
await File.WriteAllTextAsync(newPath, $@"```csharp
{code}
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10 changes: 5 additions & 5 deletions src/Meta/test/BaseTests.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@ public async Task FiveRandomWords(ProviderType providerType)
var answer = await llm.GenerateAsync(
request: "Answer me five random words",
cancellationToken: CancellationToken.None).ConfigureAwait(false);

Console.WriteLine($"LLM answer: {answer}"); // The cloaked figure.
Console.WriteLine($"LLM usage: {llm.Usage}"); // Print usage and price

Expand All @@ -47,7 +47,7 @@ public async Task Streaming(ProviderType providerType)
llm.PromptSent += (_, prompt) => Console.WriteLine($"Prompt: {prompt}");
llm.PartialResponseGenerated += (_, delta) => Console.WriteLine(delta);
llm.CompletedResponseGenerated += (_, prompt) => Console.WriteLine($"Completed response: {prompt}");

llm.Settings = new ChatSettings
{
UseStreaming = true,
Expand All @@ -57,7 +57,7 @@ public async Task Streaming(ProviderType providerType)

response.LastMessageContent.Should().NotBeNull();
}

[TestCase(ProviderType.OpenAi)]
//[TestCase(ProviderType.Anyscale)]
//[TestCase(ProviderType.Together)]
Expand Down Expand Up @@ -85,7 +85,7 @@ public async Task SimpleChain(ProviderType providerType)

Console.WriteLine(result.Value["text"]);
}

[TestCase(ProviderType.OpenAi)]
//[TestCase(ProviderType.Anyscale)]
[TestCase(ProviderType.Together)]
Expand Down Expand Up @@ -114,7 +114,7 @@ public async Task Tools_Weather(ProviderType providerType)

Console.WriteLine(response.Messages.AsHistory());
}

[TestCase(ProviderType.OpenAi)]
//[TestCase(ProviderType.Anyscale)]
//[TestCase(ProviderType.Together)]
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4 changes: 2 additions & 2 deletions src/Meta/test/BookStoreService.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -25,9 +25,9 @@ public Task<List<GetAuthorBook>> GetAuthorBooksAsync(string authorName, Cancella
{
return Task.FromResult(new List<GetAuthorBook>([
new GetAuthorBook
{ Title = "Five point someone", Description = "This book is about 3 college friends" },
{ Title = "Five point someone", Description = "This book is about 3 college friends" },
new GetAuthorBook
{ Title = "Two States", Description = "This book is about intercast marriage in India" }
{ Title = "Two States", Description = "This book is about intercast marriage in India" }
]));
}

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212 changes: 106 additions & 106 deletions src/Meta/test/Helpers.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@ public static (IChatModel ChatModel, IEmbeddingModel EmbeddingModel) GetModels(P
throw new InconclusiveException("TOGETHER_API_KEY is not set"));
var llm = new TogetherAiModel(provider, id: "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo");
var embeddings = new OpenAiEmbeddingModel(provider, id: "togethercomputer/m2-bert-80M-2k-retrieval");

return (llm, embeddings);
}
case ProviderType.Anyscale:
Expand Down Expand Up @@ -77,122 +77,122 @@ public static (IChatModel ChatModel, IEmbeddingModel EmbeddingModel) GetModels(P
return (llm, embeddings);
}
case ProviderType.OpenRouter:
{
var provider = new OpenRouterProvider(
apiKey: Environment.GetEnvironmentVariable("OPENROUTER_API_KEY") ??
throw new InconclusiveException("OPENROUTER_API_KEY is not set"));
var llm = new Providers.OpenRouter.Predefined.OpenAiGpt4OModel(provider);

// Use OpenAI embeddings for now because OpenRouter doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
{
var provider = new OpenRouterProvider(
apiKey: Environment.GetEnvironmentVariable("OPENROUTER_API_KEY") ??
throw new InconclusiveException("OPENROUTER_API_KEY is not set"));
var llm = new Providers.OpenRouter.Predefined.OpenAiGpt4OModel(provider);

// Use OpenAI embeddings for now because OpenRouter doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
case ProviderType.DeepInfra:
{
var provider = new DeepInfraProvider(
apiKey: Environment.GetEnvironmentVariable("DEEPINFRA_API_KEY") ??
throw new InconclusiveException("DEEPINFRA_API_KEY is not set"));
var llm = new Providers.DeepInfra.Predefined.MetaLlama318BInstructModel(provider);

// Use OpenAI embeddings for now because DeepInfra doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
{
var provider = new DeepInfraProvider(
apiKey: Environment.GetEnvironmentVariable("DEEPINFRA_API_KEY") ??
throw new InconclusiveException("DEEPINFRA_API_KEY is not set"));
var llm = new Providers.DeepInfra.Predefined.MetaLlama318BInstructModel(provider);

// Use OpenAI embeddings for now because DeepInfra doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
case ProviderType.Google:
{
var provider = new GoogleProvider(
apiKey: Environment.GetEnvironmentVariable("GOOGLE_API_KEY") ??
throw new InconclusiveException("GOOGLE_API_KEY is not set"),
httpClient: new HttpClient());
var llm = new GeminiProModel(provider);

// Use OpenAI embeddings for now because Google doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
{
var provider = new GoogleProvider(
apiKey: Environment.GetEnvironmentVariable("GOOGLE_API_KEY") ??
throw new InconclusiveException("GOOGLE_API_KEY is not set"),
httpClient: new HttpClient());
var llm = new GeminiProModel(provider);

// Use OpenAI embeddings for now because Google doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
case ProviderType.Anthropic:
{
var provider = new AnthropicProvider(
apiKey: Environment.GetEnvironmentVariable("ANTHROPIC_API_KEY") ??
throw new InconclusiveException("ANTHROPIC_API_KEY is not set"));
var llm = new Claude35Sonnet(provider);

// Use OpenAI embeddings for now because Anthropic doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
{
var provider = new AnthropicProvider(
apiKey: Environment.GetEnvironmentVariable("ANTHROPIC_API_KEY") ??
throw new InconclusiveException("ANTHROPIC_API_KEY is not set"));
var llm = new Claude35Sonnet(provider);

// Use OpenAI embeddings for now because Anthropic doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
case ProviderType.Groq:
{
var config = new GroqConfiguration()
{
ApiKey = Environment.GetEnvironmentVariable("GROQ_API_KEY") ??
throw new InconclusiveException("GROQ_API_KEY is not set.")
};
var config = new GroqConfiguration()
{
ApiKey = Environment.GetEnvironmentVariable("GROQ_API_KEY") ??
throw new InconclusiveException("GROQ_API_KEY is not set.")
};

var provider = new GroqProvider(config);
var llm = new Llama370B(provider);
var provider = new GroqProvider(config);
var llm = new Llama370B(provider);

// Use OpenAI embeddings for now because Anthropic doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));
// Use OpenAI embeddings for now because Anthropic doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
return (llm, embeddings);
}
case ProviderType.DeepSeek:
{
var apiKey =
Environment.GetEnvironmentVariable("DEEPSEEK_API_KEY", EnvironmentVariableTarget.User) ??
throw new InvalidOperationException("DEEPSEEK_API_KEY is not set");
var llm = new DeepSeekCoderModel(new DeepSeekProvider(apiKey));

// Use OpenAI embeddings for now because Anthropic doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
{
var apiKey =
Environment.GetEnvironmentVariable("DEEPSEEK_API_KEY", EnvironmentVariableTarget.User) ??
throw new InvalidOperationException("DEEPSEEK_API_KEY is not set");
var llm = new DeepSeekCoderModel(new DeepSeekProvider(apiKey));

// Use OpenAI embeddings for now because Anthropic doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
case ProviderType.Azure:
{
var apiKey =
Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY", EnvironmentVariableTarget.User) ??
throw new InvalidOperationException("AZURE_OPENAI_API_KEY is not set");
var apiEndpoint =
Environment.GetEnvironmentVariable("AZURE_OPENAI_API_ENDPOINT", EnvironmentVariableTarget.User) ??
throw new InvalidOperationException("AZURE_OPENAI_API_ENDPOINT is not set");
var deploymentName =
Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME", EnvironmentVariableTarget.User) ??
throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set");

var configuration = new AzureOpenAiConfiguration
{
Id = deploymentName,
ApiKey = apiKey,
Endpoint = apiEndpoint,
};
var provider = new AzureOpenAiProvider(configuration);
var llm = new AzureOpenAiChatModel(provider, deploymentName);

// Use OpenAI embeddings for now because Anthropic doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}
var apiKey =
Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY", EnvironmentVariableTarget.User) ??
throw new InvalidOperationException("AZURE_OPENAI_API_KEY is not set");
var apiEndpoint =
Environment.GetEnvironmentVariable("AZURE_OPENAI_API_ENDPOINT", EnvironmentVariableTarget.User) ??
throw new InvalidOperationException("AZURE_OPENAI_API_ENDPOINT is not set");
var deploymentName =
Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME", EnvironmentVariableTarget.User) ??
throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set");

var configuration = new AzureOpenAiConfiguration
{
Id = deploymentName,
ApiKey = apiKey,
Endpoint = apiEndpoint,
};
var provider = new AzureOpenAiProvider(configuration);
var llm = new AzureOpenAiChatModel(provider, deploymentName);

// Use OpenAI embeddings for now because Anthropic doesn't have embeddings yet
var embeddings = new TextEmbeddingV3SmallModel(
Environment.GetEnvironmentVariable("OPENAI_API_KEY") ??
throw new InconclusiveException("OPENAI_API_KEY is not set"));

return (llm, embeddings);
}

default:
throw new ArgumentOutOfRangeException();
Expand Down
2 changes: 1 addition & 1 deletion src/Meta/test/OpenAiTests.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ public void CountTokens()
new Gpt4OmniMiniModel("sk-random").CountTokens(text).Should().Be(4300);
new Gpt4Model("sk-random").CountTokens(text).Should().Be(4300);
}

[Test]
public async Task TestAudio()
{
Expand Down
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