tryAGI.OpenAI.AssistantsClient.CreateThreadAndRun.g.cs

#nullable enable

namespace tryAGI.OpenAI
{
    public partial class AssistantsClient
    {
        partial void PrepareCreateThreadAndRunArguments(
            global::System.Net.Http.HttpClient httpClient,
            global::tryAGI.OpenAI.CreateThreadAndRunRequest request);
        partial void PrepareCreateThreadAndRunRequest(
            global::System.Net.Http.HttpClient httpClient,
            global::System.Net.Http.HttpRequestMessage httpRequestMessage,
            global::tryAGI.OpenAI.CreateThreadAndRunRequest request);
        partial void ProcessCreateThreadAndRunResponse(
            global::System.Net.Http.HttpClient httpClient,
            global::System.Net.Http.HttpResponseMessage httpResponseMessage);

        partial void ProcessCreateThreadAndRunResponseContent(
            global::System.Net.Http.HttpClient httpClient,
            global::System.Net.Http.HttpResponseMessage httpResponseMessage,
            ref string content);

        /// <summary>
        /// Create a thread and run it in one request.
        /// </summary>
        /// <param name="request"></param>
        /// <param name="cancellationToken">The token to cancel the operation with</param>
        /// <exception cref="global::tryAGI.OpenAI.ApiException"></exception>
        public async global::System.Threading.Tasks.Task<global::tryAGI.OpenAI.RunObject> CreateThreadAndRunAsync(

            global::tryAGI.OpenAI.CreateThreadAndRunRequest request,
            global::System.Threading.CancellationToken cancellationToken = default)
        {
            request = request ?? throw new global::System.ArgumentNullException(nameof(request));

            PrepareArguments(
                client: HttpClient);
            PrepareCreateThreadAndRunArguments(
                httpClient: HttpClient,
                request: request);

            var __pathBuilder = new global::tryAGI.OpenAI.PathBuilder(
                path: "/threads/runs",
                baseUri: HttpClient.BaseAddress); 
            var __path = __pathBuilder.ToString();
            using var __httpRequest = new global::System.Net.Http.HttpRequestMessage(
                method: global::System.Net.Http.HttpMethod.Post,
                requestUri: new global::System.Uri(__path, global::System.UriKind.RelativeOrAbsolute));
#if NET6_0_OR_GREATER
            __httpRequest.Version = global::System.Net.HttpVersion.Version11;
            __httpRequest.VersionPolicy = global::System.Net.Http.HttpVersionPolicy.RequestVersionOrHigher;
#endif

            foreach (var __authorization in Authorizations)
            {
                if (__authorization.Type == "Http" ||
                    __authorization.Type == "OAuth2")
                {
                    __httpRequest.Headers.Authorization = new global::System.Net.Http.Headers.AuthenticationHeaderValue(
                        scheme: __authorization.Name,
                        parameter: __authorization.Value);
                }
                else if (__authorization.Type == "ApiKey" &&
                         __authorization.Location == "Header")
                {
                    __httpRequest.Headers.Add(__authorization.Name, __authorization.Value);
                }
            }
            var __httpRequestContentBody = request.ToJson(JsonSerializerContext);
            var __httpRequestContent = new global::System.Net.Http.StringContent(
                content: __httpRequestContentBody,
                encoding: global::System.Text.Encoding.UTF8,
                mediaType: "application/json");
            __httpRequest.Content = __httpRequestContent;

            PrepareRequest(
                client: HttpClient,
                request: __httpRequest);
            PrepareCreateThreadAndRunRequest(
                httpClient: HttpClient,
                httpRequestMessage: __httpRequest,
                request: request);

            using var __response = await HttpClient.SendAsync(
                request: __httpRequest,
                completionOption: global::System.Net.Http.HttpCompletionOption.ResponseContentRead,
                cancellationToken: cancellationToken).ConfigureAwait(false);

            ProcessResponse(
                client: HttpClient,
                response: __response);
            ProcessCreateThreadAndRunResponse(
                httpClient: HttpClient,
                httpResponseMessage: __response);

            if (ReadResponseAsString)
            {
                var __content = await __response.Content.ReadAsStringAsync(
#if NET5_0_OR_GREATER
                    cancellationToken
#endif
                ).ConfigureAwait(false);

                ProcessResponseContent(
                    client: HttpClient,
                    response: __response,
                    content: ref __content);
                ProcessCreateThreadAndRunResponseContent(
                    httpClient: HttpClient,
                    httpResponseMessage: __response,
                    content: ref __content);

                try
                {
                    __response.EnsureSuccessStatusCode();

                    return
                        global::tryAGI.OpenAI.RunObject.FromJson(__content, JsonSerializerContext) ??
                        throw new global::System.InvalidOperationException($"Response deserialization failed for \"{__content}\" ");
                }
                catch (global::System.Exception __ex)
                {
                    throw new global::tryAGI.OpenAI.ApiException(
                        message: __content ?? __response.ReasonPhrase ?? string.Empty,
                        innerException: __ex,
                        statusCode: __response.StatusCode)
                    {
                        ResponseBody = __content,
                        ResponseHeaders = global::System.Linq.Enumerable.ToDictionary(
                            __response.Headers,
                            h => h.Key,
                            h => h.Value),
                    };
                }
            }
            else
            {
                try
                {
                    __response.EnsureSuccessStatusCode();

                    using var __content = await __response.Content.ReadAsStreamAsync(
#if NET5_0_OR_GREATER
                        cancellationToken
#endif
                    ).ConfigureAwait(false);

                    return
                        await global::tryAGI.OpenAI.RunObject.FromJsonStreamAsync(__content, JsonSerializerContext).ConfigureAwait(false) ??
                        throw new global::System.InvalidOperationException("Response deserialization failed.");
                }
                catch (global::System.Exception __ex)
                {
                    throw new global::tryAGI.OpenAI.ApiException(
                        message: __response.ReasonPhrase ?? string.Empty,
                        innerException: __ex,
                        statusCode: __response.StatusCode)
                    {
                        ResponseHeaders = global::System.Linq.Enumerable.ToDictionary(
                            __response.Headers,
                            h => h.Key,
                            h => h.Value),
                    };
                }
            }
        }

        /// <summary>
        /// Create a thread and run it in one request.
        /// </summary>
        /// <param name="assistantId">
        /// The ID of the [assistant](/docs/api-reference/assistants) to use to execute this run.
        /// </param>
        /// <param name="thread">
        /// Options to create a new thread. If no thread is provided when running a<br/>
        /// request, an empty thread will be created.
        /// </param>
        /// <param name="model">
        /// The ID of the [Model](/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used.<br/>
        /// Example: gpt-4o
        /// </param>
        /// <param name="instructions">
        /// Override the default system message of the assistant. This is useful for modifying the behavior on a per-run basis.
        /// </param>
        /// <param name="tools">
        /// Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis.
        /// </param>
        /// <param name="toolResources">
        /// A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs.
        /// </param>
        /// <param name="metadata"></param>
        /// <param name="temperature">
        /// What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.<br/>
        /// Default Value: 1<br/>
        /// Example: 1
        /// </param>
        /// <param name="topP">
        /// An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.<br/>
        /// We generally recommend altering this or temperature but not both.<br/>
        /// Default Value: 1<br/>
        /// Example: 1
        /// </param>
        /// <param name="stream">
        /// If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message.
        /// </param>
        /// <param name="maxPromptTokens">
        /// The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
        /// </param>
        /// <param name="maxCompletionTokens">
        /// The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info.
        /// </param>
        /// <param name="truncationStrategy"></param>
        /// <param name="toolChoice"></param>
        /// <param name="parallelToolCalls">
        /// Whether to enable [parallel function calling](/docs/guides/function-calling#configuring-parallel-function-calling) during tool use.<br/>
        /// Default Value: true
        /// </param>
        /// <param name="responseFormat">
        /// Specifies the format that the model must output. Compatible with [GPT-4o](/docs/models#gpt-4o), [GPT-4 Turbo](/docs/models#gpt-4-turbo-and-gpt-4), and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.<br/>
        /// Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which ensures the model will match your supplied JSON schema. Learn more in the [Structured Outputs guide](/docs/guides/structured-outputs).<br/>
        /// Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the message the model generates is valid JSON.<br/>
        /// **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.
        /// </param>
        /// <param name="cancellationToken">The token to cancel the operation with</param>
        /// <exception cref="global::System.InvalidOperationException"></exception>
        public async global::System.Threading.Tasks.Task<global::tryAGI.OpenAI.RunObject> CreateThreadAndRunAsync(
            string assistantId,
            global::tryAGI.OpenAI.CreateThreadRequest? thread = default,
            global::tryAGI.OpenAI.AnyOf<string, global::tryAGI.OpenAI.CreateThreadAndRunRequestModel?>? model = default,
            string? instructions = default,
            global::System.Collections.Generic.IList<global::tryAGI.OpenAI.OneOf<global::tryAGI.OpenAI.AssistantToolsCode, global::tryAGI.OpenAI.AssistantToolsFileSearch, global::tryAGI.OpenAI.AssistantToolsFunction>>? tools = default,
            global::tryAGI.OpenAI.CreateThreadAndRunRequestToolResources? toolResources = default,
            global::System.Collections.Generic.Dictionary<string, string>? metadata = default,
            double? temperature = default,
            double? topP = default,
            bool? stream = default,
            int? maxPromptTokens = default,
            int? maxCompletionTokens = default,
            global::tryAGI.OpenAI.AllOf<global::tryAGI.OpenAI.TruncationObject, object>? truncationStrategy = default,
            global::tryAGI.OpenAI.AllOf<global::tryAGI.OpenAI.AssistantsApiToolChoiceOption?, object>? toolChoice = default,
            bool? parallelToolCalls = default,
            global::tryAGI.OpenAI.AssistantsApiResponseFormatOption? responseFormat = default,
            global::System.Threading.CancellationToken cancellationToken = default)
        {
            var __request = new global::tryAGI.OpenAI.CreateThreadAndRunRequest
            {
                AssistantId = assistantId,
                Thread = thread,
                Model = model,
                Instructions = instructions,
                Tools = tools,
                ToolResources = toolResources,
                Metadata = metadata,
                Temperature = temperature,
                TopP = topP,
                Stream = stream,
                MaxPromptTokens = maxPromptTokens,
                MaxCompletionTokens = maxCompletionTokens,
                TruncationStrategy = truncationStrategy,
                ToolChoice = toolChoice,
                ParallelToolCalls = parallelToolCalls,
                ResponseFormat = responseFormat,
            };

            return await CreateThreadAndRunAsync(
                request: __request,
                cancellationToken: cancellationToken).ConfigureAwait(false);
        }
    }
}