pip install netra-sdk anthropic

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)

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)

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
)

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"}]
)