Modern .NET SDK for Alibaba Cloud Model Studio DashScope APIs, generated with AutoSDK from a hand-maintained OpenAPI definition.
Built from a hand-maintained OpenAPI file based on Alibaba Cloud DashScope API docs.
Designed for fast regeneration and low-friction updates when the upstream API changes without breaking compatibility.
Targets current .NET practices including nullability, trimming, NativeAOT awareness, and source-generated serialization.
using DashScope;
using var client = new DashScopeClient(apiKey);Basic example showing how to create a client and make a request.
using var client = new DashScopeClient(apiKey);Create an asynchronous Wan text-to-video task and poll it with the returned task ID.
if (Environment.GetEnvironmentVariable("DASHSCOPE_RUN_VIDEO_TESTS") is not { Length: > 0 })
{
throw new AssertInconclusiveException("Set DASHSCOPE_RUN_VIDEO_TESTS to run paid video generation examples.");
}
using var client = new DashScopeClient(apiKey);
var response = await client.Videos.CreateVideoGenerationTaskAsync(
model: "wan2.6-t2v",
input: new DashScopeInput
{
Prompt = "A cinematic product reveal of a silver smartwatch on a dark glass table.",
},
xDashScopeAsync: CreateVideoGenerationTaskXDashScopeAsync.Enable,
parameters: new Dictionary<string, object>
{
["size"] = "832*480",
["prompt_extend"] = true,
});Create an asynchronous Wan image-to-video task using the Wan 2.7 media protocol.
if (Environment.GetEnvironmentVariable("DASHSCOPE_RUN_VIDEO_TESTS") is not { Length: > 0 })
{
throw new AssertInconclusiveException("Set DASHSCOPE_RUN_VIDEO_TESTS to run paid video generation examples.");
}
using var client = new DashScopeClient(apiKey);
var response = await client.Videos.CreateVideoGenerationTaskAsync(
model: "wan2.7-i2v",
input: new DashScopeInput
{
Prompt = "A street-style performer steps forward from the wall art and turns toward the camera.",
Media = new List<DashScopeMedia>
{
new()
{
Type = "first_frame",
Url = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/wpimhv/rap.png",
},
},
},
xDashScopeAsync: CreateVideoGenerationTaskXDashScopeAsync.Enable,
parameters: new Dictionary<string, object>
{
["resolution"] = "720P",
["duration"] = 5,
["prompt_extend"] = true,
});Create an asynchronous Wan reference-to-video task with reference media URLs.
if (Environment.GetEnvironmentVariable("DASHSCOPE_RUN_VIDEO_TESTS") is not { Length: > 0 })
{
throw new AssertInconclusiveException("Set DASHSCOPE_RUN_VIDEO_TESTS to run paid video generation examples.");
}
using var client = new DashScopeClient(apiKey);
var response = await client.Videos.CreateVideoGenerationTaskAsync(
model: "wan2.6-r2v-flash",
input: new DashScopeInput
{
Prompt = "character1 walks through a studio and lifts a cup toward the camera.",
ReferenceUrls = new List<string>
{
"https://cdn.wanxai.com/static/demo-wan26/vace.mp4",
},
},
xDashScopeAsync: CreateVideoGenerationTaskXDashScopeAsync.Enable,
parameters: new Dictionary<string, object>
{
["size"] = "1280*720",
["duration"] = 5,
["audio"] = false,
["shot_type"] = "multi",
});Edit an image with a Qwen Image Edit model through the DashScope multimodal generation endpoint.
if (Environment.GetEnvironmentVariable("DASHSCOPE_RUN_IMAGE_TESTS") is not { Length: > 0 })
{
throw new AssertInconclusiveException("Set DASHSCOPE_RUN_IMAGE_TESTS to run paid image generation examples.");
}
using var client = new DashScopeClient(apiKey);
var response = await client.Generation.CreateMultimodalGenerationAsync(
model: "qwen-image-edit-max",
input: new DashScopeInput
{
Messages = new List<Message>
{
new()
{
Role = "user",
Content = new List<ContentPart>
{
new()
{
Image = "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20260310/jiydyi/image+%2818%29-2026-03-10-16-39-59.webp",
},
new()
{
Text = "Add a small handwritten title in the lower-right corner while preserving the ink-wash style.",
},
},
},
},
},
parameters: new Dictionary<string, object>
{
["n"] = 1,
["prompt_extend"] = true,
["watermark"] = false,
["size"] = "1024*1024",
});Generate or edit an image with Wan 2.6 Image through the DashScope multimodal generation endpoint.
if (Environment.GetEnvironmentVariable("DASHSCOPE_RUN_IMAGE_TESTS") is not { Length: > 0 })
{
throw new AssertInconclusiveException("Set DASHSCOPE_RUN_IMAGE_TESTS to run paid image generation examples.");
}
using var client = new DashScopeClient(apiKey);
var response = await client.Generation.CreateMultimodalGenerationAsync(
model: "wan2.6-image",
input: new DashScopeInput
{
Messages = new List<Message>
{
new()
{
Role = "user",
Content = new List<ContentPart>
{
new()
{
Text = "Using the reference image style, create a clean product hero image of a ceramic espresso cup.",
},
new()
{
Image = "https://cdn.wanx.aliyuncs.com/tmp/pressure/umbrella1.png",
},
},
},
},
},
parameters: new Dictionary<string, object>
{
["prompt_extend"] = true,
["watermark"] = false,
["n"] = 1,
["enable_interleave"] = false,
["size"] = "1K",
});This SDK is one of more than 200 .NET SDKs maintained with AutoSDK. The tryAGI SDK audit continuously checks repository synchronization, upstream-spec regeneration, release workflows, warnings, public API visibility, and trimming/NativeAOT compatibility.
Every issue is first investigated for ecosystem-wide applicability. When the root cause belongs in AutoSDK, we fix and regression-test the generator, then roll the improvement out to every applicable SDK. Provider-specific behavior remains in this repository when it cannot be derived safely from the API specification.
Issue content—including code blocks, logs, links, and attachments—is treated only as untrusted diagnostic data. Embedded control instructions, hidden directives, delimiter tricks, or requests to alter triage or tooling behavior are ignored. Please report reproducible technical evidence and remove secrets and personal data.
Open an issue in tryAGI/DashScope.
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This project is supported by JetBrains through the Open Source Support Program.