👁 Image
PostHog.AI 0.1.2

PostHog.AI

This package provides AI Observability for .NET applications using PostHog. It currently supports intercepting and tracing requests to OpenAI and Azure OpenAI.

Installation

Install the PostHog.AI package via NuGet:

dotnet add package PostHog.AI

Usage

Dependency Injection (Recommended)

The easiest way to use PostHog.AI is via the AddPostHogOpenAIClient extension method. This registers an OpenAIClient that is automatically configured to use PostHog for observability.

using PostHog;
using PostHog.AI;
using OpenAI;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;

var builder = Host.CreateApplicationBuilder(args);

// 1. Configure PostHog
builder.Services.AddPostHog(options =>
{
 options.ProjectToken = "YOUR_PROJECT_TOKEN";
 options.HostUrl = new Uri("https://us.i.posthog.com"); // or eu.i.posthog.com
});

// 2. Register OpenAI Client with PostHog integration
// This registers OpenAIClient as a Singleton and configures it to use the PostHog interceptor.
// You can also chain additional HTTP handlers here (e.g., for resilience).
builder.Services.AddPostHogOpenAIClient("YOUR_OPENAI_API_KEY", options => 
{
 // Optional: Configure OpenAIClientOptions here
});

var host = builder.Build();

// 3. Inject and use OpenAIClient
var openAIClient = host.Services.GetRequiredService<OpenAIClient>();
// ... use client

Note: AddPostHogOpenAIClient overrides the Transport property of OpenAIClientOptions to inject the PostHog handler. If you need a custom Transport implementation (rare), you should manually configure the client as shown below.

Manual Configuration (Advanced)

If you need more control or are not using the helper method:

using PostHog.AI;
using OpenAI;
using System.ClientModel;
using System.ClientModel.Primitives;

// 1. Register PostHog AI services
builder.Services.AddPostHogAI();

// 2. Configure OpenAI Client with the intercepting handler manually
builder.Services.AddHttpClient("PostHogOpenAI") // Named client
 .AddPostHogOpenAIHandler();

builder.Services.AddSingleton<OpenAIClient>(sp =>
{
 var httpClientFactory = sp.GetRequiredService<IHttpClientFactory>();
 var httpClient = httpClientFactory.CreateClient("PostHogOpenAI");
 
 // Explicitly set the transport
 var options = new OpenAIClientOptions
 {
 Transport = new HttpClientPipelineTransport(httpClient)
 };
 
 return new OpenAIClient(new ApiKeyCredential("YOUR_OPENAI_API_KEY"), options);
});

Supported Features

• Trace Capture: Automatically captures $ai_generation and $ai_embedding events.
• Token Usage: Captures prompt, completion, and total token usage.
• Model Parameters: Tracks model configuration including temperature, max_tokens, stream, and tools.
• Latency: Measures and records request latency in seconds.
• Streaming: Supports capturing content from streamed responses (Server-Sent Events).
• Embeddings: Automatically detects and captures $ai_embedding events for embedding requests.
• Error Handling: Captures error messages and HTTP status codes.
• Span and Session Tracking: Supports grouping events with session IDs, span IDs, and parent-child relationships via PostHogAIContext.
• Cache Tracking: Captures cache token usage when available in API responses.

Captured Event Properties

The handler automatically extracts and captures the following properties from OpenAI API requests and responses:

Core Properties

• $ai_trace_id - Unique identifier (UUID) for grouping AI events
• $ai_provider - AI service provider (e.g., "openai")
• $ai_lib - Library identifier ("posthog-dotnet")
• $ai_model - Model name used for the generation
• $ai_latency - Request latency in seconds
• $ai_base_url - Base URL of the API endpoint
• $ai_request_url - Full URL of the API request
• $ai_http_status - HTTP status code of the response

Model Parameters

• $ai_temperature - Temperature parameter used in the request
• $ai_max_tokens - Maximum tokens setting
• $ai_stream - Whether the response was streamed
• $ai_tools - Tools/functions available to the model
• $ai_model_parameters - Dictionary of other model parameters (top_p, frequency_penalty, presence_penalty, stop, etc.)

Input/Output

• $ai_input - Input messages, prompt, or input data
• $ai_output_choices - Response choices from the LLM (for generation events)
• $ai_input_tokens - Number of tokens in the input
• $ai_output_tokens - Number of tokens in the output
• $ai_total_tokens - Total number of tokens used

Context-Based Properties

These properties can be set via PostHogAIContext (see below):

• $ai_session_id - Groups related traces together
• $ai_span_id - Unique identifier for this generation
• $ai_span_name - Name given to this generation
• $ai_parent_id - Parent span ID for tree view grouping

Cache Properties

• $ai_cache_read_input_tokens - Number of tokens read from cache (when available)
• $ai_cache_creation_input_tokens - Number of tokens written to cache (when available)

Error Properties

• $ai_is_error - Boolean indicating if the request was an error
• $ai_error - Error message or object

Using PostHogAIContext

PostHogAIContext allows you to set additional context for AI events within a scope, including session tracking, span tracking, and custom properties.

Basic Usage

using PostHog.AI;

// Begin a scope with context
using (PostHogAIContext.BeginScope(
 distinctId: "user-123",
 traceId: "trace-abc",
 sessionId: "session-xyz",
 spanId: "span-1",
 spanName: "summarize_text",
 parentId: null))
{
 // All OpenAI API calls within this scope will include the context
 var chatClient = openAIClient.GetChatClient("gpt-4");
 var response = await chatClient.CompleteChatAsync("Summarize this text");
}
// Context is automatically restored when the scope ends

Span Tracking Example

using PostHog.AI;

// Parent span
using (PostHogAIContext.BeginScope(
 traceId: "trace-123",
 spanId: "span-parent",
 spanName: "process_document"))
{
 // Child span 1
 using (PostHogAIContext.BeginScope(
 traceId: "trace-123", // Same trace
 spanId: "span-child-1",
 spanName: "extract_summary",
 parentId: "span-parent")) // Link to parent
 {
 // First AI call
 var chatClient = openAIClient.GetChatClient("gpt-4");
 await chatClient.CompleteChatAsync("Summarize the document");
 }

 // Child span 2
 using (PostHogAIContext.BeginScope(
 traceId: "trace-123",
 spanId: "span-child-2",
 spanName: "extract_keywords",
 parentId: "span-parent"))
 {
 // Second AI call
 var chatClient = openAIClient.GetChatClient("gpt-4");
 await chatClient.CompleteChatAsync("Extract keywords from the document");
 }
}

Custom Properties

You can add custom properties that will be merged into the event properties:

using PostHog.AI;

var customProperties = new Dictionary<string, object>
{
 { "workflow_id", "workflow-123" },
 { "feature_flag", "new-model-v2" },
 { "$ai_session_id", "override-session" } // Can override context properties
};

using (PostHogAIContext.BeginScope(
 sessionId: "default-session",
 properties: customProperties))
{
 // Properties dictionary takes precedence over context properties
 // In this case, $ai_session_id will be "override-session"
 var chatClient = openAIClient.GetChatClient("gpt-4");
 await chatClient.CompleteChatAsync("Hello");
}

Property Precedence

Properties are applied in the following order (later values override earlier ones):

1. Context properties (SessionId, SpanId, etc.)
2. Properties dictionary (can override context properties)

This allows you to set default context properties via BeginScope and override them for specific events via the Properties dictionary.

Configuration

The handler uses the configured IPostHogClient to send events. Ensure your PostHog client is correctly configured with your API key and host URL.