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195 | using var api = GetAuthenticatedClient();
OpenAIFile favoriteNumberFile = await api.Files.CreateFileAsync(
file: """
This file contains the favorite numbers for individuals.
John Doe: 14
Bob Doe: 32
Jane Doe: 44
"""u8.ToArray(),
filename: "favorite_numbers.txt",
purpose: CreateFileRequestPurpose.Assistants);
var service = new AllToolsService();
IList<ChatCompletionTool> tools = service.AsTools().AsOpenAiTools();
AssistantObject assistant = await api.Assistants.CreateAssistantAsync(
model: CreateAssistantRequestModel.Gpt4o,
instructions: "Use functions to resolve family relations into the names of people. Use file search to "
+ " look up the favorite numbers of people. Use code interpreter to create graphs of lines.",
tools: tools
.Select(x => new ToolsItem2(new AssistantToolsFunction
{
Function = x.Function,
}))
.Concat([
new AssistantToolsFileSearch(),
new AssistantToolsCode()
])
.ToArray(),
toolResources: new CreateAssistantRequestToolResources
{
FileSearch = new CreateAssistantRequestToolResourcesFileSearch
{
VectorStores = new List<CreateAssistantRequestToolResourcesFileSearchVectorStore>
{
new()
{
FileIds = [favoriteNumberFile.Id],
},
},
},
});
RunObject run = await api.Assistants.CreateThreadAndRunAsync(
assistantId: assistant.Id,
new CreateThreadRequest
{
Messages = [
"Create a graph of a line with a slope that's my father's favorite number "
+ "and an offset that's my mother's favorite number.",
"Include people's names in your response and cite where you found them."
],
});
// Poll the run until it is no longer queued or in progress.
while (run.Status is RunObjectStatus.Queued or RunObjectStatus.InProgress or RunObjectStatus.RequiresAction)
{
await Task.Delay(TimeSpan.FromSeconds(1));
run = await api.Assistants.GetRunAsync(run.ThreadId, run.Id);
// If the run requires action, resolve them.
if (run.Status == RunObjectStatus.RequiresAction)
{
List<SubmitToolOutputsRunRequestToolOutput> toolOutputs = [];
foreach (RunToolCallObject toolCall in run.RequiredAction?.SubmitToolOutputs.ToolCalls ?? [])
{
var json = await service.CallAsync(
functionName: toolCall.Function.Name,
argumentsAsJson: toolCall.Function.Arguments);
toolOutputs.Add(new SubmitToolOutputsRunRequestToolOutput
{
ToolCallId = toolCall.Id,
Output = json,
});
}
// Submit the tool outputs to the assistant, which returns the run to the queued state.
run = await api.Assistants.SubmitToolOuputsToRunAsync(
threadId: run.ThreadId,
runId: run.Id,
toolOutputs: toolOutputs);
}
}
// With the run complete, list the messages and display their content
if (run.Status == RunObjectStatus.Completed)
{
ListMessagesResponse messages
= await api.Assistants.ListMessagesAsync(run.ThreadId, order: ListMessagesOrder.Asc);
foreach (MessageObject message in messages.Data)
{
Console.WriteLine($"[{message.Role.ToString().ToUpper()}]: ");
foreach (ContentItem2 contentItem in message.Content)
{
if (contentItem.ImageFile is {} imageFile)
{
OpenAIFile imageInfo = await api.Files.RetrieveFileAsync(imageFile.ImageFile.FileId);
byte[] imageBytes = await api.Files.DownloadFileAsync(imageFile.ImageFile.FileId);
FileInfo fileInfo = new($"{imageInfo.Filename}.png");
await File.WriteAllBytesAsync(fileInfo.FullName, imageBytes);
Console.WriteLine($"<image: {new Uri(fileInfo.FullName).AbsoluteUri}>");
}
if (contentItem.ImageUrl is {} imageUrl)
{
Console.WriteLine($" <Image URL> {imageUrl.ImageUrl.Url}");
}
if (contentItem.Text is {} text)
{
Console.WriteLine($"{text.Text.Value}");
// Include annotations, if any.
if (text.Text.Annotations.Count > 0)
{
Console.WriteLine();
foreach (AnnotationsItem annotation in text.Text.Annotations)
{
if (annotation.FileCitation is {} fileCitation)
{
Console.WriteLine($"* File citation, file ID: {fileCitation.FileCitation.FileId}");
Console.WriteLine($"* Text to replace: {fileCitation.Text}");
Console.WriteLine($"* Message content index range: {fileCitation.StartIndex}-{fileCitation.EndIndex}");
}
if (annotation.FilePath is {} filePath)
{
Console.WriteLine($"* File output, new file ID: {filePath.FilePath.FileId}");
Console.WriteLine($"* Text to replace: {filePath.Text}");
Console.WriteLine($"* Message content index range: {filePath.StartIndex}-{filePath.EndIndex}");
}
}
}
}
if (contentItem.Refusal is {} refusal)
{
Console.WriteLine($"Refusal: {refusal.Refusal}");
}
}
Console.WriteLine();
}
// List run steps for details about tool calls
ListRunStepsResponse runSteps = await api.Assistants.ListRunStepsAsync(
threadId: run.ThreadId,
runId: run.Id,
order: ListRunStepsOrder.Asc);
foreach (RunStepObject step in runSteps.Data)
{
Console.WriteLine($"Run step: {step.Status}");
foreach (var toolCall in step.StepDetails.ToolCalls?.ToolCalls ?? [])
{
if (toolCall.CodeInterpreter is {} codeInterpreter)
{
Console.WriteLine($" --> Tool call: {codeInterpreter.Type}");
foreach (var output in codeInterpreter.CodeInterpreter.Outputs)
{
if (output.Logs is {} logs)
{
Console.WriteLine($" --> Output: {logs.Logs}");
}
if (output.Image is {} image)
{
Console.WriteLine($" --> Output: {image.Image.FileId}");
}
}
}
if (toolCall.FileSearch is {} fileSearch)
{
Console.WriteLine($" --> Tool call: {fileSearch.Type}");
foreach (var output in fileSearch.FileSearch.Results ?? [])
{
Console.WriteLine($" --> Output: {output.FileId}");
}
}
if (toolCall.Function is {} tool)
{
Console.WriteLine($" --> Tool call: {tool.Type}");
}
}
}
}
else
{
throw new NotImplementedException(run.Status.ToString());
}
// Optionally, delete any persistent resources you no longer need.
_ = await api.Assistants.DeleteThreadAsync(run.ThreadId);
_ = await api.Assistants.DeleteAssistantAsync(assistant.Id);
_ = await api.Files.DeleteFileAsync(favoriteNumberFile.Id);
|