pip install netra-sdk aleph-alpha-client

from netra import Netra

# Initialize Netra with your API key
Netra.init(
    app_name="my-aleph-alpha-app",
    headers=f"x-api-key={os.environ['NETRA_API_KEY']}",
    trace_content=True
)

# Your Aleph Alpha code will be automatically traced

from netra import Netra
from aleph_alpha_client import Client, CompletionRequest, Prompt
import os

# Initialize Netra
Netra.init(
    app_name="my-aleph-alpha-app",
    headers=f"x-api-key={os.environ['NETRA_API_KEY']}",
    trace_content=True
)

# Use Aleph Alpha normally - automatically traced
client = Client(token=os.environ["ALEPH_ALPHA_API_KEY"])

request = CompletionRequest(
    prompt=Prompt.from_text("What is AI?"),
    maximum_tokens=100
)

response = client.complete(request, model="luminous-base")
print(response.completions[0].completion)

from netra import Netra, workflow, task
from aleph_alpha_client import Client, CompletionRequest, Prompt

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

client = Client(token=os.environ["ALEPH_ALPHA_API_KEY"])

@workflow()
def process_document(text: str):
    summary = summarize_text(text)
    keywords = extract_keywords(summary)
    return {"summary": summary, "keywords": keywords}

@task()
def summarize_text(text: str):
    request = CompletionRequest(
        prompt=Prompt.from_text(f"Summarize: {text}"),
        maximum_tokens=150
    )
    response = client.complete(request, model="luminous-extended")
    return response.completions[0].completion

@task()
def extract_keywords(text: str):
    request = CompletionRequest(
        prompt=Prompt.from_text(f"Extract keywords: {text}"),
        maximum_tokens=50
    )
    response = client.complete(request, model="luminous-base")
    return response.completions[0].completion

from netra import Netra, ConversationType

# Start a user session
Netra.start_session(
    session_id="user-session-123",
    user_id="user-456",
    metadata={"app": "chatbot"}
)

# Start a conversation
Netra.start_conversation(
    conversation_type=ConversationType.CHAT,
    metadata={"topic": "AI"}
)

# Add messages to the conversation
Netra.add_message(role="user", content="Tell me about Aleph Alpha")

# Your Aleph Alpha call here...

# End conversation when done
Netra.end_conversation()