Mythosia.AI.Providers.Alibaba 1.2.0

Mythosia.AI.Providers.Alibaba

Package Summary

Mythosia.AI.Providers.Alibaba adds Alibaba Cloud / Qwen provider support for Mythosia.AI through QwenService.

It is intended for projects that want to keep using the common AIService abstraction while calling Qwen-compatible chat completion endpoints through DashScope, vLLM, or Ollama.

Features

• Qwen chat completion support through QwenService
• Streaming response support with token usage reporting (TokenUsage)
• Function calling support
• Shared Mythosia.AI conversation and message abstractions
• Optional thinking-mode control for supported Qwen models
• Compatible endpoint handling for DashScope, vLLM, and Ollama

Installation

dotnet add package Mythosia.AI.Providers.Alibaba

Model Catalog

The provider now includes a broader built-in model catalog for Qwen 3 and Qwen 3.5 families.

service.ChangeModel(AlibabaModels.Qwen3_32B);
service.ChangeModel(AlibabaModels.Qwen3_5_27B);
service.ChangeModel(AlibabaModels.Qwen3_5_397B);

Thinking Mode Behavior

QwenService applies platform-specific thinking request formatting for Qwen 3-family models.

Thinking off 시 DashScope / vLLM에는 명시적으로 enable_thinking = false가 전송되어 서버 기본값에 의한 의도치 않은 thinking 활성화를 방지합니다.

Request-Scoped Reasoning Control

When you are using the shared AIRequestProfile APIs from Mythosia.AI, QwenService can disable reasoning for a single call without changing the long-lived service configuration.

var answer = await service.GetCompletionAsync(
    "Summarize this policy without reasoning output.",
    new AIRequestProfile
    {
        DisableReasoning = true
    });

Quick Start with vLLM

using Mythosia.AI.Providers.Alibaba;

var httpClient = new HttpClient();
var service = new QwenService("http://localhost:8000", EndpointPlatform.Vllm, httpClient)
    .UseQwen3_32BModel();

var response = await service.GetCompletionAsync("Hello, Qwen!");
Console.WriteLine(response);

Quick Start with Ollama

using Mythosia.AI.Providers.Alibaba;

var httpClient = new HttpClient();
var service = new QwenService("http://localhost:11434", EndpointPlatform.Ollama, httpClient)
    .UseQwen3_32BModel();

var response = await service.GetCompletionAsync("Hello, Qwen!");
Console.WriteLine(response);

Configure Thinking Mode

using Mythosia.AI.Providers.Alibaba;

var service = new QwenService("http://localhost:11434", EndpointPlatform.Ollama, httpClient)
{
    ThinkingMode = QwenThinking.On
};

Using Quantized or Custom Model Names

Some Qwen deployments do not use the default public model identifier.

Examples:

• Quantized variants such as qwen3:32b-q4_K_M
• Custom deployment names from a gateway or self-hosted endpoint
• Provider-specific aliases that differ from the built-in AlibabaModels constants

In those cases, keep the service configured normally and set ModelIdOverride to the exact deployed model name that your endpoint expects.

using Mythosia.AI.Providers.Alibaba;

var service = new QwenService("http://localhost:11434", EndpointPlatform.Ollama, httpClient)
{
    ThinkingMode = QwenThinking.On,
    ModelIdOverride = "qwen3:32b-q4_K_M"
};

var response = await service.GetCompletionAsync("Summarize this document.");

You can also combine a built-in base model selection with a different runtime model ID:

var service = new QwenService("http://localhost:8000", EndpointPlatform.Vllm, httpClient)
    .UseQwen3_32BModel();

service.ModelIdOverride = "my-qwen3-32b-awq";

var response = await service.GetCompletionAsync("Explain this code.");

This is useful when:

• The displayed deployment name is different from the public Qwen model name
• You are routing through Ollama, vLLM, or a custom proxy
• You want to use a quantized build while keeping the general service configuration readable

How Model Names Behave on Ollama

When EndpointPlatform.Ollama is used, built-in model names are automatically converted to Ollama-style IDs.

Example:

• qwen3-32b → qwen3:32b

If your Ollama model name is not the default converted name, set ModelIdOverride explicitly.

Streaming Example

var service = new QwenService("http://localhost:8000", EndpointPlatform.Vllm, httpClient)
    .UseQwen3_32BModel();

await foreach (var chunk in service.StreamAsync("Explain transformers simply."))
{
    if (!string.IsNullOrWhiteSpace(chunk.Content))
        Console.Write(chunk.Content);
}

Function Calling Example

var service = new QwenService("http://localhost:8000", EndpointPlatform.Vllm, httpClient)
    .UseQwen3_32BModel()
    .WithFunction(
        "get_weather",
        "Gets the current weather for a city",
        ("city", "City name", true),
        (string city) => $"Weather in {city}: sunny, 24°C");

var result = await service.GetCompletionAsync("What's the weather in Seoul?");

Notes

• Use EndpointPlatform.DashScope for Alibaba Cloud DashScope endpoints (default)
• Use EndpointPlatform.Vllm for OpenAI-compatible vLLM endpoints
• Use EndpointPlatform.Ollama for local Ollama servers
• Model selection can be changed with provider model constants or ModelIdOverride
• For the shared core API surface and advanced features, see the main Mythosia.AI package documentation

Documentation

• Main package: GitHub Repository
• Core package docs: Mythosia.AI Core Package
• Release notes: RELEASE_NOTES.md