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DNotifier Python SDK

DNotifier is a real-time notification and messaging SDK for Python 3.9+. It supports WebSocket and HTTP transports, binary streaming, framed packets, an AI pipeline, knowledge-base (RAG) APIs, optional session logging, and multi-step workflows with agents and observability.


Features

  • WebSocket and HTTP transport
  • Secure authentication handshake
  • Real-time messaging (text and binary)
  • Large payloads with automatic chunking and reassembly
  • AI: send_ai, fetch_ai_history, semantic search
  • Knowledge base: add, update, get, list, delete, and search documents
  • Chat history fetch and delete
  • Optional SDK session logging (logs=True)
  • Workflows: named agents, sequential pipelines, dashboard observability
  • Plan limits from auth (get_plan_limits)

Installation

pip install dnotifier

Quick start

import asyncio
from dnotifier import DNotifier

async def main():
    notifier = DNotifier(
        app_id="your-app-id",
        secret="your-app-secret",
        transport="ws",  # or "http"
        user_id="user-123",
        on_connected=lambda: print("Connected"),
        on_message=lambda msg: print(msg.payload.to_json()),
        on_disconnected=lambda **kw: print("Disconnected", kw),
    )

    await notifier.connect()

    await notifier.send(
        sender_id="user-123",
        receiver_id="user-456",
        data={"type": "text", "text": "Hello from DNotifier"},
    )

    await notifier.disconnect()

asyncio.run(main())

Connection options

Parameter Type Description
app_id str Your DNotifier application id
secret str Application secret
transport "ws" | "http" WebSocket for realtime; HTTP for RPC-style AI/RAG
user_id str End-user or agent id for auth and routing
logs bool Enable SDK session logging (default False)
url str WebSocket URL override (default production wss://api.dnotifier.com/ecs/ws)
on_connected callable Called after successful connect
on_message callable Called for each incoming message
on_disconnected callable Called on disconnect (code, reason)

API overview

Method Description
connect() Authenticate and open transport
disconnect() Close WebSocket connection
send(...) Send realtime message
send_binary(...) Send binary payload (WebSocket)
send_ai(...) Send to AI pipeline
fetch_ai_history(...) Fetch AI conversation history
delete_ai_history_message(...) Delete one AI history entry
fetch_chat_history(...) Request chat history
delete_chat_history_message(...) Delete one chat message
search(...) Semantic / vector search
add_document(...) Add RAG document
update_document(...) Update RAG document
delete_document(...) Delete RAG document
list_documents(...) List RAG documents
get_document(...) Get RAG document + chunks
get_plan_limits() Plan limits from last auth
run_workflow(...) Run a registered workflow

Workflows

from dnotifier import DNotifier, Workflow, define_agent

researcher = define_agent(
    name="researcher",
    run=lambda ctx: ctx.send_ai(message=ctx.input, label="Research"),
)

workflow = Workflow(
    name="qa-pipeline",
    observability=True,
    entry=lambda ctx: ctx.run_agent("researcher"),
)
workflow.register_agent("researcher", researcher)

async def main():
    notifier = DNotifier(...)
    await notifier.connect()
    result = await notifier.run_workflow(workflow=workflow, input_data="What is RAG?")
    print(result)

License

Proprietary — see LICENSE.

Metadata

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