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GoogleAi_GeminiPro_Should.cs
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#if NET472_OR_GREATER || NETSTANDARD2_0
using System;
using System.Collections.Generic;
using System.Net.Http;
#endif
using FluentAssertions;
using Mscc.GenerativeAI;
using Xunit;
using Xunit.Abstractions;
namespace Test.Mscc.GenerativeAI
{
[Collection(nameof(ConfigurationFixture))]
public class GoogleAiGeminiProShould
{
private readonly ITestOutputHelper _output;
private readonly ConfigurationFixture _fixture;
private readonly string _model = Model.Gemini10Pro;
public GoogleAiGeminiProShould(ITestOutputHelper output, ConfigurationFixture fixture)
{
_output = output;
_fixture = fixture;
}
[Fact]
public void Initialize_GoogleAI()
{
// Arrange
// Act
var googleAi = new GoogleAI(apiKey: _fixture.ApiKey);
// Assert
googleAi.Should().NotBeNull();
}
[Fact]
public void Initialize_Using_GoogleAI()
{
// Arrange
var expected = Environment.GetEnvironmentVariable("GOOGLE_AI_MODEL") ?? Model.Gemini10Pro;
var googleAi = new GoogleAI(apiKey: _fixture.ApiKey);
// Act
var model = googleAi.GenerativeModel();
// Assert
model.Should().NotBeNull();
model.Name.Should().Be($"{expected.SanitizeModelName()}");
}
[Fact]
public void Initialize_EnvVars()
{
// Arrange
Environment.SetEnvironmentVariable("GOOGLE_API_KEY", _fixture.ApiKey);
var expected = Environment.GetEnvironmentVariable("GOOGLE_AI_MODEL") ?? Model.Gemini10Pro;
// Act
var model = new GenerativeModel();
// Assert
model.Should().NotBeNull();
model.Name.Should().Be($"{expected.SanitizeModelName()}");
}
[Fact]
public void Initialize_Default_Model()
{
// Arrange
var expected = Environment.GetEnvironmentVariable("GOOGLE_AI_MODEL") ?? Model.Gemini10Pro;
// Act
var model = new GenerativeModel(apiKey: _fixture.ApiKey);
// Assert
model.Should().NotBeNull();
model.Name.Should().Be($"{expected.SanitizeModelName()}");
}
[Fact]
public void Initialize_Model()
{
// Arrange
var expected = _model;
// Act
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
// Assert
model.Should().NotBeNull();
model.Name.Should().Be($"{expected.SanitizeModelName()}");
}
[Fact]
public async void List_Models()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey);
// Act
var sut = await model.ListModels();
// Assert
sut.Should().NotBeNull();
sut.Should().NotBeNull().And.HaveCountGreaterThanOrEqualTo(1);
sut.ForEach(x =>
{
_output.WriteLine($"Model: {x.DisplayName} ({x.Name})");
x.SupportedGenerationMethods.ForEach(m => _output.WriteLine($" Method: {m}"));
});
}
[Fact]
public async void List_Models_Using_OAuth()
{
// Arrange
var model = new GenerativeModel { AccessToken = _fixture.AccessToken };
// Act
var sut = await model.ListModels();
// Assert
sut.Should().NotBeNull();
sut.Should().NotBeNull().And.HaveCountGreaterThanOrEqualTo(1);
sut.ForEach(x =>
{
_output.WriteLine($"Model: {x.DisplayName} ({x.Name})");
x.SupportedGenerationMethods.ForEach(m => _output.WriteLine($" Method: {m}"));
});
}
[Fact]
public async void List_Tuned_Models()
{
// Arrange
var model = new GenerativeModel { AccessToken = _fixture.AccessToken };
// Act
var sut = await model.ListModels(true);
// var sut = await model.ListTunedModels();
// Assert
sut.Should().NotBeNull();
sut.Should().NotBeNull().And.HaveCountGreaterThanOrEqualTo(1);
sut.ForEach(x =>
{
_output.WriteLine($"Model: {x.DisplayName} ({x.Name})");
x.TuningTask.Snapshots.ForEach(m => _output.WriteLine($" Snapshot: {m}"));
});
}
[Theory]
[InlineData(Model.Gemini10Pro001)]
[InlineData(Model.GeminiProVision)]
[InlineData(Model.BisonText)]
[InlineData(Model.BisonChat)]
[InlineData("tunedModels/number-generator-model-psx3d3gljyko")]
public async void Get_Model_Information(string modelName)
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey);
// Act
var sut = await model.GetModel(model: modelName);
// Assert
sut.Should().NotBeNull();
// sut.Name.Should().Be($"{modelName.SanitizeModelName()}");
_output.WriteLine($"Model: {sut.DisplayName} ({sut.Name})");
sut.SupportedGenerationMethods.ForEach(m => _output.WriteLine($" Method: {m}"));
}
[Theory]
[InlineData("tunedModels/number-generator-model-psx3d3gljyko")]
public async void Get_TunedModel_Information_Using_ApiKey(string modelName)
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey);
// Act & Assert
await Assert.ThrowsAsync<NotSupportedException>(() => model.GetModel(model: modelName));
}
[Theory]
[InlineData(Model.Gemini10Pro001)]
[InlineData(Model.GeminiProVision)]
[InlineData(Model.BisonText)]
[InlineData(Model.BisonChat)]
[InlineData("tunedModels/number-generator-model-psx3d3gljyko")]
public async void Get_Model_Information_Using_OAuth(string modelName)
{
// Arrange
var model = new GenerativeModel { AccessToken = _fixture.AccessToken };
var expected = modelName;
if (!expected.Contains("/"))
expected = $"{expected.SanitizeModelName()}";
// Act
var sut = await model.GetModel(model: modelName);
// Assert
sut.Should().NotBeNull();
sut.Name.Should().Be(expected);
_output.WriteLine($"Model: {sut.DisplayName} ({sut.Name})");
if (sut.State is null)
{
sut?.SupportedGenerationMethods?.ForEach(m => _output.WriteLine($" Method: {m}"));
}
else
{
_output.WriteLine($"State: {sut.State}");
}
}
[Fact]
public async void Generate_Content()
{
// Arrange
var prompt = "Write a story about a magic backpack.";
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
// Act
var response = await model.GenerateContent(prompt);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
}
[Fact]
public async void GenerateContent_WithEmptyPrompt_ThrowsArgumentNullException()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
string prompt = null;
// Act & Assert
await Assert.ThrowsAsync<ArgumentNullException>(() => model.GenerateContent(prompt));
}
[Fact]
public async void GenerateContent_WithInvalidAPIKey_ChangingBeforeRequest()
{
// Arrange
var prompt = "Tell me 4 things about Taipei. Be short.";
var googleAi = new GoogleAI(apiKey: "WRONG_API_KEY");
var model = googleAi.GenerativeModel(model: Model.Gemini10Pro001);
model.ApiKey = _fixture.ApiKey;
// Act
var response = await model.GenerateContent(prompt);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
}
[Fact]
public async void GenerateContent_WithInvalidAPIKey_ChangingAfterRequest()
{
// Arrange
var prompt = "Tell me 4 things about Taipei. Be short.";
var googleAi = new GoogleAI(apiKey: "WRONG_API_KEY");
var model = googleAi.GenerativeModel(model: Model.Gemini10Pro001);
await Assert.ThrowsAsync<HttpRequestException>(() => model.GenerateContent(prompt));
// Act
model.ApiKey = _fixture.ApiKey;
var response = await model.GenerateContent(prompt);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
}
[Fact]
public async void Generate_Content_MaxTokens()
{
// Arrange
var prompt = "Write a story about a magic backpack.";
var googleAi = new GoogleAI(apiKey: _fixture.ApiKey);
var model = googleAi.GenerativeModel(model: Model.Gemini10Pro001);
var generationConfig = new GenerationConfig() { MaxOutputTokens = 20 };
// Act
var response = await model.GenerateContent(prompt, generationConfig);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().BeEmpty();
// _output.WriteLine(response?.Text);
}
[Fact]
public async void Generate_Content_Stream_MaxTokens()
{
// Arrange
var prompt = "Write a story about a magic backpack.";
var googleAi = new GoogleAI(apiKey: _fixture.ApiKey);
var model = googleAi.GenerativeModel(model: Model.Gemini10Pro001);
var generationConfig = new GenerationConfig() { MaxOutputTokens = 20 };
// Act
var responseStream = model.GenerateContentStream(prompt, generationConfig);
// Assert
responseStream.Should().NotBeNull();
await foreach (var response in responseStream)
{
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
if (response.Candidates[0].FinishReason is FinishReason.MaxTokens)
_output.WriteLine("...");
else
_output.WriteLine(response?.Text);
}
}
[Fact]
public async void Generate_Content_MultiplePrompt()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var parts = new List<IPart>
{
new TextData { Text = "What is x multiplied by 2?" },
new TextData { Text = "x = 42" }
};
// Act
var response = await model.GenerateContent(parts);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
_output.WriteLine(response?.Text);
response.Text.Should().Be("84");
}
[Fact]
public async void Generate_Content_Request()
{
// Arrange
var prompt = "Write a story about a magic backpack.";
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var request = new GenerateContentRequest { Contents = new List<Content>() };
request.Contents.Add(new Content
{
Role = Role.User,
Parts = new List<IPart> { new TextData { Text = prompt } }
});
// Act
var response = await model.GenerateContent(request);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
}
[Fact]
public async void GenerateContent_WithRequest_MultipleCandidates_ThrowsHttpRequestException()
{
// Arrange
var prompt = "Write a short poem about koi fish.";
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var request = new GenerateContentRequest
{
Contents = new List<Content>(),
GenerationConfig = new GenerationConfig()
{
CandidateCount = 3
}
};
request.Contents.Add(new Content
{
Role = Role.User,
Parts = new List<IPart> { new TextData { Text = prompt } }
});
// Act & Assert
await Assert.ThrowsAsync<HttpRequestException>(() => model.GenerateContent(request));
}
[Fact]
public async void GenerateContent_WithNullRequest_ThrowsArgumentNullException()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
GenerateContentRequest request = null;
// Act & Assert
await Assert.ThrowsAsync<ArgumentNullException>(() => model.GenerateContent(request));
}
[Fact]
public async void Generate_Content_RequestConstructor()
{
// Arrange
var prompt = "Write a story about a magic backpack.";
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var request = new GenerateContentRequest(prompt);
request.Contents[0].Role = Role.User;
// Act
var response = await model.GenerateContent(request);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
}
[Fact]
public async void GenerateContent_WithRequest_UseServerSentEvents()
{
// Arrange
var prompt = "Write a story about a magic backpack.";
var googleAi = new GoogleAI(apiKey: _fixture.ApiKey);
var model = googleAi.GenerativeModel(model: _model);
model.UseServerSentEventsFormat = true;
var request = new GenerateContentRequest(prompt);
// Act
var response = await model.GenerateContent(request);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
}
[Fact]
public async void GenerateContent_Stream_WithRequest_ServerSentEvents()
{
// Arrange
var prompt = "Write a story about a magic backpack.";
var googleAi = new GoogleAI(apiKey: _fixture.ApiKey);
var model = googleAi.GenerativeModel(model: _model);
model.UseServerSentEventsFormat = true;
var request = new GenerateContentRequest(prompt);
// Act
var responseEvents = model.GenerateContentStream(request);
// Assert
responseEvents.Should().NotBeNull();
await foreach (var response in responseEvents)
{
_output.WriteLine($"{response.Text}");
}
}
[Fact]
public async void Generate_Content_Stream()
{
// Arrange
var prompt = "How are you doing today?";
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
// Act
var responseStream = model.GenerateContentStream(prompt);
// Assert
responseStream.Should().NotBeNull();
await foreach (var response in responseStream)
{
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
// response.UsageMetadata.Should().NotBeNull();
// output.WriteLine($"PromptTokenCount: {response?.UsageMetadata?.PromptTokenCount}");
// output.WriteLine($"CandidatesTokenCount: {response?.UsageMetadata?.CandidatesTokenCount}");
// output.WriteLine($"TotalTokenCount: {response?.UsageMetadata?.TotalTokenCount}");
}
}
[Fact]
public async void Generate_Content_Stream_Request()
{
// Arrange
var prompt = "How are you doing today?";
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var request = new GenerateContentRequest { Contents = new List<Content>() };
request.Contents.Add(new Content
{
Role = Role.User,
Parts = new List<IPart> { new TextData { Text = prompt } }
});
// Act
var responseStream = model.GenerateContentStream(request);
// Assert
responseStream.Should().NotBeNull();
await foreach (var response in responseStream)
{
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
// response.UsageMetadata.Should().NotBeNull();
// output.WriteLine($"PromptTokenCount: {response?.UsageMetadata?.PromptTokenCount}");
// output.WriteLine($"CandidatesTokenCount: {response?.UsageMetadata?.CandidatesTokenCount}");
// output.WriteLine($"TotalTokenCount: {response?.UsageMetadata?.TotalTokenCount}");
}
}
[Fact]
public async void GenerateAnswer_WithValidRequest_ReturnsAnswerResponse()
{
// Arrange
var model = new GenerativeModel(apiKey: "YOUR_API_KEY", model: Model.AttributedQuestionAnswering);
var request = new GenerateAnswerRequest("What is the capital of France?", AnswerStyle.Abstractive);
// Act
var response = await model.GenerateAnswer(request);
// Assert
response.Should().NotBeNull();
response.Answer.Should().NotBeNull();
response.Text.Should().Be("Paris");
}
[Theory]
[InlineData("How are you doing today?", 6)]
[InlineData("What kind of fish is this?", 7)]
[InlineData("Write a story about a magic backpack.", 8)]
[InlineData("Write an extended story about a magic backpack.", 9)]
public async void Count_Tokens(string prompt, int expected)
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
// Act
var response = await model.CountTokens(prompt);
// Assert
response.Should().NotBeNull();
response.TotalTokens.Should().BeGreaterThanOrEqualTo(expected);
_output.WriteLine($"Tokens: {response?.TotalTokens}");
}
[Theory]
[InlineData("How are you doing today?", 7)]
[InlineData("What kind of fish is this?", 8)]
[InlineData("Write a story about a magic backpack.", 9)]
[InlineData("Write an extended story about a magic backpack.", 10)]
public async void Count_Tokens_Request(string prompt, int expected)
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var request = new GenerateContentRequest { Contents = new List<Content>() };
request.Contents.Add(new Content
{
Role = Role.User,
Parts = new List<IPart> { new TextData { Text = prompt } }
});
// Act
var response = await model.CountTokens(request);
// Assert
response.Should().NotBeNull();
response.TotalTokens.Should().BeGreaterOrEqualTo(expected);
_output.WriteLine($"Tokens: {response?.TotalTokens}");
}
[Fact]
public async void Start_Chat()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var chat = model.StartChat();
var prompt = "How can I learn more about C#?";
// Act
var response = await chat.SendMessage(prompt);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
}
[Fact]
public async void Start_Chat_With_History()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var history = new List<ContentResponse>
{
new() { Role = Role.User, Text = "Hello" },
new() { Role = Role.Model, Text = "Hello! How can I assist you today?"}
};
var chat = model.StartChat(history);
var prompt = "How does electricity work?";
// Act
var response = await chat.SendMessage(prompt);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(prompt);
_output.WriteLine(response?.Text);
//output.WriteLine(response?.PromptFeedback);
}
[Fact]
// Refs:
// https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/send-chat-prompts-gemini
public async void Start_Chat_Multiple_Prompts()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var chat = model.StartChat();
// Act
var prompt = "Hello, let's talk a bit about nature.";
var response = await chat.SendMessage(prompt);
_output.WriteLine(prompt);
_output.WriteLine(response?.Text);
prompt = "What are all the colors in a rainbow?";
response = await chat.SendMessage(prompt);
_output.WriteLine(prompt);
_output.WriteLine(response?.Text);
prompt = "Why does it appear when it rains?";
response = await chat.SendMessage(prompt);
_output.WriteLine(prompt);
_output.WriteLine(response?.Text);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
}
[Fact]
// Refs:
// https://ai.google.dev/tutorials/python_quickstart#chat_conversations
public async void Start_Chat_Conversations()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var chat = model.StartChat();
// Act
_ = await chat.SendMessage("Hello, fancy brainstorming about IT?");
_ = await chat.SendMessage("In one sentence, explain how a computer works to a young child.");
_ = await chat.SendMessage("Okay, how about a more detailed explanation to a high schooler?");
_ = await chat.SendMessage("Lastly, give a thorough definition for a CS graduate.");
// Assert
chat.History.ForEach(c =>
{
_output.WriteLine($"{new string('-', 20)}");
_output.WriteLine($"{c.Role}: {c.Text}");
});
}
[Fact]
// Refs:
// https://ai.google.dev/tutorials/python_quickstart#chat_conversations
public async void Start_Chat_Rewind_Conversation()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var chat = model.StartChat();
_ = await chat.SendMessage("Hello, fancy brainstorming about IT?");
_ = await chat.SendMessage("In one sentence, explain how a computer works to a young child.");
_ = await chat.SendMessage("Okay, how about a more detailed explanation to a high school kid?");
_ = await chat.SendMessage("Lastly, give a thorough definition for a CS graduate.");
// Act
var entries = chat.Rewind();
// Assert
entries.Should().NotBeNull();
entries.Sent.Should().NotBeNull();
entries.Received.Should().NotBeNull();
_output.WriteLine("------ Rewind ------");
_output.WriteLine($"{entries.Sent.Role}: {entries.Sent.Text}");
_output.WriteLine($"{new string('-', 20)}");
_output.WriteLine($"{entries.Received.Role}: {entries.Received.Text}");
_output.WriteLine($"{new string('-', 20)}");
chat.History.Count.Should().Be(6);
_output.WriteLine("------ History -----");
chat.History.ForEach(c =>
{
_output.WriteLine($"{new string('-', 20)}");
_output.WriteLine($"{c.Role}: {c.Text}");
});
}
[Fact]
// Refs:
// https://ai.google.dev/tutorials/python_quickstart#chat_conversations
public async void Start_Chat_Conversations_Get_Last()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var chat = model.StartChat();
_ = await chat.SendMessage("Hello, fancy brainstorming about IT?");
_ = await chat.SendMessage("In one sentence, explain how a computer works to a young child.");
_ = await chat.SendMessage("Okay, how about a more detailed explanation to a high school kid?");
_ = await chat.SendMessage("Lastly, give a thorough definition for a CS graduate.");
// Act
var sut = chat.Last;
// Assert
sut.Should().NotBeNull();
_output.WriteLine($"{sut.Role}: {sut.Text}");
}
[Fact]
public async void Start_Chat_Streaming()
{
// Arrange
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
var chat = model.StartChat();
var prompt = "How can I learn more about C#?";
// Act
var responseStream = chat.SendMessageStream(prompt);
// Assert
responseStream.Should().NotBeNull();
await foreach (var response in responseStream)
{
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response.Text.Should().NotBeEmpty();
_output.WriteLine(response?.Text);
// response.UsageMetadata.Should().NotBeNull();
// output.WriteLine($"PromptTokenCount: {response?.UsageMetadata?.PromptTokenCount}");
// output.WriteLine($"CandidatesTokenCount: {response?.UsageMetadata?.CandidatesTokenCount}");
// output.WriteLine($"TotalTokenCount: {response?.UsageMetadata?.TotalTokenCount}");
}
chat.History.Count.Should().Be(2);
_output.WriteLine($"{new string('-', 20)}");
_output.WriteLine("------ History -----");
chat.History.ForEach(c =>
{
_output.WriteLine($"{new string('-', 20)}");
_output.WriteLine($"{c.Role}: {c.Text}");
});
}
[Fact]
// Ref: https://ai.google.dev/docs/function_calling
public async void Function_Calling()
{
// Arrange
var prompt = "Which theaters in Mountain View show Barbie movie?";
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
List<Tool> tools =
[
new Tool()
{
FunctionDeclarations =
[
new()
{
Name = "find_movies",
Description =
"find movie titles currently playing in theaters based on any description, genre, title words, etc.",
Parameters = new()
{
Type = ParameterType.Object,
Properties = new
{
Location = new
{
Type = ParameterType.String,
Description = "The city and state, e.g. San Francisco, CA or a zip code e.g. 95616"
},
Description = new
{
Type = ParameterType.String,
Description = "Any kind of description including category or genre, title words, attributes, etc."
}
},
Required = ["description"]
}
},
new()
{
Name = "find_theaters",
Description =
"find theaters based on location and optionally movie title which are is currently playing in theaters",
Parameters = new() {
Type = ParameterType.Object,
Properties = new
{
Location = new
{
Type = ParameterType.String,
Description = "The city and state, e.g. San Francisco, CA or a zip code e.g. 95616"
},
Movie = new
{
Type = ParameterType.String,
Description = "Any movie title"
}
},
Required = ["location"]
}
},
new()
{
Name = "get_showtimes",
Description = "Find the start times for movies playing in a specific theater",
Parameters = new()
{
Type = ParameterType.Object,
Properties = new
{
Location = new
{
Type = ParameterType.String,
Description = "The city and state, e.g. San Francisco, CA or a zip code e.g. 95616"
},
Movie = new
{
Type = ParameterType.String,
Description = "Any movie title"
},
Theater = new
{
Type = ParameterType.String,
Description = "Name of the theater"
},
Date = new
{
Type = ParameterType.String,
Description = "Date for requested showtime"
}
},
Required = ["location", "movie", "theater", "date"]
}
}
]
}
];
// Act
var response = await model.GenerateContent(prompt, tools: tools);
// Assert
response.Should().NotBeNull();
response.Candidates.Should().NotBeNull().And.HaveCount(1);
response?.Candidates?[0]?.Content?.Parts[0]?.FunctionCall?.Should().NotBeNull();
_output.WriteLine(response?.Candidates?[0]?.Content?.Parts[0]?.FunctionCall?.Name);
_output.WriteLine(response?.Candidates?[0]?.Content?.Parts[0]?.FunctionCall?.Args?.ToString());
}
[Fact]
// Ref: https://ai.google.dev/docs/function_calling#function-calling-one-and-a-half-turn-curl-sample
public async void Function_Calling_MultiTurn()
{
// Arrange
var prompt = "Which theaters in Mountain View show Barbie movie?";
var model = new GenerativeModel(apiKey: _fixture.ApiKey, model: _model);
List<Tool> tools =
[
new Tool()
{
FunctionDeclarations =
[
new()
{
Name = "find_movies",
Description =
"find movie titles currently playing in theaters based on any description, genre, title words, etc.",
Parameters = new()
{
Type = ParameterType.Object,
Properties = new
{
Location = new
{
Type = ParameterType.String,
Description = "The city and state, e.g. San Francisco, CA or a zip code e.g. 95616"
},
Description = new
{
Type = ParameterType.String,
Description = "Any kind of description including category or genre, title words, attributes, etc."
}
},
Required = ["description"]
}
},
new()
{
Name = "find_theaters",
Description =
"find theaters based on location and optionally movie title which are is currently playing in theaters",
Parameters = new() {
Type = ParameterType.Object,
Properties = new
{
Location = new
{
Type = ParameterType.String,
Description = "The city and state, e.g. San Francisco, CA or a zip code e.g. 95616"
},
Movie = new
{
Type = ParameterType.String,
Description = "Any movie title"
}
},
Required = ["location"]
}
},
new()
{
Name = "get_showtimes",
Description = "Find the start times for movies playing in a specific theater",
Parameters = new()
{
Type = ParameterType.Object,
Properties = new
{
Location = new
{
Type = ParameterType.String,
Description = "The city and state, e.g. San Francisco, CA or a zip code e.g. 95616"
},
Movie = new
{
Type = ParameterType.String,
Description = "Any movie title"
},
Theater = new
{
Type = ParameterType.String,
Description = "Name of the theater"
},
Date = new
{
Type = ParameterType.String,
Description = "Date for requested showtime"
}
},
Required = ["location", "movie", "theater", "date"]
}
}
]
}
];
var request = new GenerateContentRequest(prompt, tools: tools);
request.Contents[0].Role = Role.User;
request.Contents.Add(new Content()
{
Role = Role.Model,
Parts = new()
{
new FunctionCall() { Name = "find_theaters", Args = new { Location = "Mountain View, CA", Movie = "Barbie" } }
}
});
request.Contents.Add(new Content()
{
Role = Role.Function,
Parts = new()
{
new FunctionResponse() { Name = "find_theaters", Response = new
{
Name = "find_theaters", Content = new
{