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README.md

Grafana Sigil .NET SDKs

Sigil extends OpenTelemetry-style instrumentation with normalized AI generation records. The .NET SDK follows the same generation-first contract and provider parity target as the Go SDK.

Packages

  • Grafana.Sigil: core runtime (SigilClient, generation/tool recorders, generation export)
  • Grafana.Sigil.OpenAI: OpenAI Responses + Chat Completions + Embeddings wrappers and mappers
  • Grafana.Sigil.Anthropic: Anthropic Messages wrappers and mappers
  • Grafana.Sigil.Gemini: Gemini GenerateContent + EmbedContent wrappers and mappers

Package docs:

Target frameworks

  • Core package: net8.0, netstandard2.0
  • Provider packages: net8.0

Install

dotnet add package Grafana.Sigil
dotnet add package Grafana.Sigil.OpenAI
# or: Grafana.Sigil.Anthropic / Grafana.Sigil.Gemini

Quickstart (OpenAI Responses wrapper)

using Grafana.Sigil;
using Grafana.Sigil.OpenAI;
using OpenAI.Responses;

var sigil = new SigilClient(new SigilClientConfig
{
    GenerationExport = new GenerationExportConfig
    {
        Protocol = GenerationExportProtocol.Grpc,
        Endpoint = "localhost:4317",
        Auth = new AuthConfig
        {
            Mode = ExportAuthMode.Tenant,
            TenantId = "dev-tenant",
        },
        BatchSize = 100,
        FlushInterval = TimeSpan.FromSeconds(1),
        QueueSize = 2000,
    },
    Api = new ApiConfig
    {
        Endpoint = "http://localhost:8080",
    },
});

// Configure OTel exporters (traces/metrics) separately in your application's OTel setup.
using var tracerProvider = OpenTelemetry.Sdk.CreateTracerProviderBuilder()
    .AddSource("github.com/grafana/sigil/sdks/dotnet")
    .AddOtlpExporter()
    .Build();

using var meterProvider = OpenTelemetry.Sdk.CreateMeterProviderBuilder()
    .AddMeter("github.com/grafana/sigil/sdks/dotnet")
    .AddOtlpExporter()
    .Build();

var openAI = new ResponsesClient(
    "gpt-5",
    Environment.GetEnvironmentVariable("OPENAI_API_KEY")!
);

var inputItems = new List<ResponseItem>
{
    ResponseItem.CreateUserMessageItem("Give me a short weather summary for Paris."),
};

var requestOptions = new CreateResponseOptions
{
    Instructions = "You are concise.",
    MaxOutputTokenCount = 320,
};

var response = await OpenAIRecorder.CreateResponseAsync(
    sigil,
    openAI,
    inputItems,
    requestOptions: requestOptions,
    options: new OpenAISigilOptions
    {
        ConversationId = "conv-9b2f",
        AgentName = "assistant-core",
        AgentVersion = "1.0.0",
    },
    cancellationToken: CancellationToken.None
);

await sigil.ShutdownAsync(CancellationToken.None);

Core API

  • StartGeneration(...) for non-stream operations (SYNC)
  • StartStreamingGeneration(...) for stream operations (STREAM)
  • StartEmbedding(...) for embedding operations (embeddings)
  • StartToolExecution(...) for tool spans/events
  • FlushAsync(...) for explicit export flush points
  • ShutdownAsync(...) for graceful shutdown

Recorder behavior is explicit and idempotent:

  • GenerationRecorder.SetResult(...) and SetCallError(...)
  • ToolExecutionRecorder.SetResult(...) and SetExecutionError(...)
  • End() is safe to call once in finally
  • recorder Error only reports local instrumentation/export-queue errors

Generation export transport protocols:

  • GenerationExportProtocol.Grpc
  • GenerationExportProtocol.Http
  • GenerationExportProtocol.None (instrumentation-only; no generation transport)

Embedding observability

Use StartEmbedding(...) for manual embedding instrumentation. Embedding recording emits OTel spans and SDK metrics only, and does not enqueue generation export payloads.

var recorder = client.StartEmbedding(new EmbeddingStart
{
    AgentName = "retrieval-worker",
    AgentVersion = "1.0.0",
    Model = new ModelRef
    {
        Provider = "openai",
        Name = "text-embedding-3-small",
    },
});

try
{
    var response = await embeddingClient.GenerateEmbeddingsAsync(new[] { "hello", "world" });
    recorder.SetResult(new EmbeddingResult
    {
        InputCount = 2,
        InputTokens = response.Value.Usage.InputTokenCount,
        InputTexts = new List<string> { "hello", "world" }, // captured only when EmbeddingCapture.CaptureInput=true
        ResponseModel = response.Value.Model,
    });
}
catch (Exception ex)
{
    recorder.SetCallError(ex);
    throw;
}
finally
{
    recorder.End();
}

Provider helpers:

  • OpenAIRecorder.GenerateEmbeddingsAsync(...)
  • GeminiRecorder.EmbedContentAsync(...)
  • Anthropic .NET SDK does not currently expose an embeddings API surface in this repository.

Input text capture is opt-in:

var config = new SigilClientConfig
{
    EmbeddingCapture = new EmbeddingCaptureConfig
    {
        CaptureInput = true,
        MaxInputItems = 20,
        MaxTextLength = 1024,
    },
};

CaptureInput can expose PII/document content in spans. Keep it disabled by default and enable only for scoped diagnostics.

TraceQL examples:

  • traces{gen_ai.operation.name="embeddings"}
  • traces{gen_ai.operation.name="embeddings" && gen_ai.request.model="text-embedding-3-small"}
  • traces{gen_ai.operation.name="embeddings" && error.type!=""}

Context defaults

SigilContext uses async-local scopes:

  • SigilContext.WithConversationId(...)
  • SigilContext.WithAgentName(...)
  • SigilContext.WithAgentVersion(...)

These defaults are used when a start payload omits those fields.

Conversation Ratings

Use the SDK helper to submit user-facing ratings:

var result = await client.SubmitConversationRatingAsync(
    "conv-123",
    new SubmitConversationRatingRequest
    {
        RatingId = "rat-123",
        Rating = ConversationRatingValue.Bad,
        Comment = "Answer ignored user context",
        Metadata = new Dictionary<string, object?>
        {
            ["channel"] = "assistant-ui",
        },
        Source = "sdk-dotnet",
    },
    CancellationToken.None
);

Console.WriteLine($"{result.Rating.Rating} hasBad={result.Summary.HasBadRating}");

SubmitConversationRatingAsync(...) sends requests to SigilClientConfig.Api.Endpoint (default http://localhost:8080) and uses the same generation-export auth headers (tenant or bearer) already configured on the SDK client.

.NET best practices

  • Create one long-lived SigilClient per process (for example as a singleton in DI).
  • Always call ShutdownAsync(...) during process shutdown.
  • Keep provider request/response payloads normalized; enable raw artifacts only for debug sessions.
  • Use explicit generation export auth config instead of sharing ad-hoc headers.

Instrumentation-only mode (no generation send)

var sigil = new SigilClient(new SigilClientConfig
{
    GenerationExport = new GenerationExportConfig
    {
        Protocol = GenerationExportProtocol.None,
    },
});

SDK metrics

The SDK emits these OTel histograms through your configured OTel meter provider:

  • gen_ai.client.operation.duration
  • gen_ai.client.token.usage
  • gen_ai.client.time_to_first_token
  • gen_ai.client.tool_calls_per_operation

Local tasks

Run from repository root:

  • mise run test:cs:sdk-core
  • mise run test:cs:sdk-openai
  • mise run test:cs:sdk-anthropic
  • mise run test:cs:sdk-gemini