Claude

pip install netra-sdk anthropic

npm install netra-sdk @anthropic-ai/sdk

from netra import Netra
import anthropic
import os

# Initialize Netra with your API key
Netra.init(headers=f"x-api-key={os.getenv('NETRA_API_KEY')}")

# Use Anthropic client as normal
client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))

message = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Hello, Claude"}
    ]
)

print(message.content)

import { Netra } from "netra-sdk";
import Anthropic from "@anthropic-ai/sdk";

async function main() {
  // Initialize Netra with your API key (must await)
  await Netra.init({
      headers: `x-api-key=${process.env.NETRA_API_KEY}`
  });

  // Use Anthropic client as normal
  const client = new Anthropic({
      apiKey: process.env.ANTHROPIC_API_KEY
  });

  const message = await client.messages.create({
      model: "claude-3-5-sonnet-20241022",
      max_tokens: 1024,
      messages: [
          { role: "user", content: "Hello, Claude" }
      ]
  });

  console.log(message.content);
}

main();

from netra import Netra
import anthropic
import os

Netra.init(headers=f"x-api-key={os.getenv('NETRA_API_KEY')}")

client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))

with client.messages.stream(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Tell me a story"}]
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

import { Netra } from "netra-sdk";
import Anthropic from "@anthropic-ai/sdk";

async function main() {
  await Netra.init({
      headers: `x-api-key=${process.env.NETRA_API_KEY}`
  });

  const client = new Anthropic({
      apiKey: process.env.ANTHROPIC_API_KEY
  });

  const stream = await client.messages.create({
      model: "claude-3-5-sonnet-20241022",
      max_tokens: 1024,
      messages: [{ role: "user", content: "Tell me a story" }],
      stream: true
  });

  for await (const chunk of stream) {
      if (chunk.type === 'content_block_delta') {
          process.stdout.write(chunk.delta.text);
      }
  }
}

main();

from netra import Netra, ConversationType
import anthropic
import os

Netra.init(headers=f"x-api-key={os.getenv('NETRA_API_KEY')}")

# Set session and user context
Netra.set_session_id("session-123")
Netra.set_user_id("user-456")

client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))

# Track conversation
Netra.add_conversation(
    content="What is machine learning?",
    conversation_type=ConversationType.INPUT
)

response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{"role": "user", "content": "What is machine learning?"}]
)

Netra.add_conversation(
    content=response.content[0].text,
    conversation_type=ConversationType.OUTPUT
)

import { Netra } from "netra-sdk";
import Anthropic from "@anthropic-ai/sdk";

async function main() {
  await Netra.init({
      headers: `x-api-key=${process.env.NETRA_API_KEY}`
  });

  // Set session and user context
  Netra.setSessionId("session-123");
  Netra.setUserId("user-456");

  const client = new Anthropic({
      apiKey: process.env.ANTHROPIC_API_KEY
  });

  // API calls are automatically traced with session context
  const message = await client.messages.create({
      model: "claude-3-5-sonnet-20241022",
      max_tokens: 1024,
      messages: [
          { role: "user", content: "What is machine learning?" }
      ]
  });
}

main();

from netra import Netra
import anthropic
import os

Netra.init(headers=f"x-api-key={os.getenv('NETRA_API_KEY')}")

# Set custom attributes
Netra.set_custom_attributes({
    "environment": "production",
    "feature": "chat-assistant",
    "model_version": "v2"
})

client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))

message = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}]
)

import { Netra } from "netra-sdk";
import Anthropic from "@anthropic-ai/sdk";

async function main() {
  await Netra.init({
      headers: `x-api-key=${process.env.NETRA_API_KEY}`
  });

  // Set custom attributes
  Netra.setCustomAttributes({
      environment: "production",
      feature: "chat-assistant",
      modelVersion: "v2"
  });

  const client = new Anthropic({
      apiKey: process.env.ANTHROPIC_API_KEY
  });

  const message = await client.messages.create({
      model: "claude-3-5-sonnet-20241022",
      max_tokens: 1024,
      messages: [{ role: "user", content: "Hello" }]
  });
}

main();