Azure OpenAI (Beta)

npm install @raindrop-ai/azure-openai openai

pnpm add @raindrop-ai/azure-openai openai

pip install raindrop-azure-openai openai

import { createRaindropAzureOpenAI } from "@raindrop-ai/azure-openai";
import { AzureOpenAI } from "openai";

const raindrop = createRaindropAzureOpenAI({
  writeKey: "your-write-key",
  userId: "user-123",
});

const client = new AzureOpenAI({
  endpoint: "https://your-resource.openai.azure.com",
  apiKey: "...",
  apiVersion: "2024-10-21",
});

const wrapped = raindrop.wrap(client);

const response = await wrapped.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [{ role: "user", content: "What is the capital of France?" }],
});

console.log(response.choices[0].message.content);
await raindrop.shutdown();

from raindrop_azure_openai import RaindropAzureOpenAI
from openai import AzureOpenAI

raindrop = RaindropAzureOpenAI(
    api_key="rk_...",
    user_id="user-123",
)

client = AzureOpenAI(
    azure_endpoint="https://your-resource.openai.azure.com",
    api_key="...",
    api_version="2024-10-21",
)
wrapped = raindrop.wrap(client)

response = wrapped.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "What is the capital of France?"}],
)

print(response.choices[0].message.content)
raindrop.shutdown()

const raindrop = createRaindropAzureOpenAI({
  writeKey: "your-write-key",       // Optional: your Raindrop write key (omit to disable telemetry)
  endpoint: "...",          // Optional: custom Raindrop API endpoint
  userId: "user-123",      // Optional: associate events with a user
  convoId: "convo-456",    // Optional: conversation/thread ID
  projectId: "support-prod", // Optional: route events to a specific project (slug)
  debug: false,             // Optional: enable verbose logging
});

from raindrop_azure_openai import RaindropAzureOpenAI

raindrop = RaindropAzureOpenAI(
    api_key="rk_...",                   # Optional: your Raindrop API key (omit to disable telemetry)
    user_id="user-123",                 # Optional: associate events with a user
    convo_id="convo-456",               # Optional: conversation/thread ID
    project_id="support-prod",          # Optional: route events to a specific project (slug)
    tracing_enabled=True,               # Optional: enable OTEL-based tracing
    bypass_otel_for_tools=True,         # Optional: bypass OTEL for tool calls
    debug=False,                        # Optional: enable verbose logging
)

const raindrop = createRaindropAzureOpenAI({
  writeKey: "your-write-key",
  projectId: "support-prod",
});

raindrop = RaindropAzureOpenAI(
    api_key="rk_...",
    project_id="support-prod",
)

await raindrop.flush();     // flush pending data
await raindrop.shutdown();  // flush + release resources

raindrop.flush()     # flush pending data
raindrop.shutdown()  # flush + release resources

raindrop.users.identify({ userId: "user-123", traits: { plan: "pro", name: "Alice" } });

raindrop.identify("user-123", traits={"plan": "pro", "name": "Alice"})

raindrop.signals.track({
  eventId: "evt-abc",
  name: "thumbs_up",
  type: "feedback",
  sentiment: "POSITIVE",
  comment: "Great response!",
});

raindrop.track_signal(
    event_id="evt-abc",
    name="thumbs_up",
    signal_type="feedback",
    sentiment="POSITIVE",
    comment="Great response!",
)