Host Integration

Embed PraisonAIUI in your own host application for seamless agent integration

Integrate PraisonAI agents directly into your application using the built-in host integration module.

Quick Start

1. Simple Host

   Create a host app with default settings:

   from praisonai.integration import build_host_app
   
   app = build_host_app(
       title="My Agent App",
       pages=["chat", "agents", "sessions", "usage"],
   )
   # Run with: uvicorn main:app --host 0.0.0.0 --port 8000
   
2. Advanced Configuration

   Configure with custom agents and settings:

   from praisonai.integration import configure_host, create_host_app
   
   configure_host(
       title="Advanced Agent Platform",
       logo="🚀",
       pages=["chat", "agents", "memory", "knowledge", "sessions"],
       agents=[
           {
               "name": "Code Assistant",
               "instructions": "Help with coding tasks",
               "llm": "gpt-4o"
           }
       ],
       theme={"primary_color": "#3b82f6"}
   )
   
   app = create_host_app()
   

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Integration Patterns

Choose your integration pattern based on your needs:

---

Configuration Options

Option	Type	Default	Description
pages	Sequence[str]	None	UI pages to include
title	str	"PraisonAI"	Application title
logo	str	"🤖"	Logo or emoji
sidebar	bool	True	Show navigation sidebar
page_header	bool	True	Show page header
style	str	"dashboard"	UI layout: "dashboard" or "chat"
context_paths	Sequence[str]	None	Paths to context files (AGENTS.md-style) prepended to agent instructions
theme	Dict[str, Any]	None	Custom theme settings
agents	List[Any]	None	Pre-configured agents
agent_kwargs	Dict[str, Any]	None	Default agent parameters
gateway	Any	None	External gateway reference
modules	Sequence[str]	None	Additional modules to load

---

API Reference

Core Functions

configure_host()

Apply host settings and wire backends. Must be called before create_host_app().

configure_host(
    pages=["chat", "agents"],
    title="My App",
    agents=[{"name": "Assistant"}]
)

create_host_app()

Return the Starlette app instance. Call after configure_host().

app = create_host_app()
# Ready for uvicorn, gunicorn, etc.

build_host_app()

One-shot configuration and app creation. Simplest approach.

app = build_host_app(title="Quick Setup")

run_integrated_gateway()

Pattern C: Start gateway with integrated UI on single port. Sync wrapper for CLI and scripts.

from praisonai import run_integrated_gateway

run_integrated_gateway(
    port=8765,
    title="Gateway App",
    style="dashboard",
    context_paths=["AGENTS.md"]
)

For async usage, use the async variant:

from praisonai.integration.gateway_host import run_integrated_gateway_async

await run_integrated_gateway_async(
    port=8765,
    host="127.0.0.1",
    title="Gateway App"
)

---

Legacy Mode

Set PRAISONAI_HOST_LEGACY=1 to use callback-only mode without provider wiring. This skips automatic backend integration.

export PRAISONAI_HOST_LEGACY=1

In legacy mode, only @aiui.reply callbacks work - no automatic agent integration.

---

Common Patterns

Pattern B: In-Process Host

Embed the UI in your existing application:

from praisonai.integration import build_host_app
from fastapi import FastAPI

# Your existing app
main_app = FastAPI()

# Create agent UI
agent_ui = build_host_app(
    title="Agent Dashboard",
    pages=["chat", "sessions"]
)

# Mount as subapp
main_app.mount("/agents", agent_ui)

Pattern C via CLI

Use the integrated UI-Gateway command for quick setup:

# Basic UI-Gateway
praisonai serve ui-gateway

# With custom settings
praisonai serve ui-gateway --style chat --title "My App" --port 8765

# With agents file
praisonai serve ui-gateway --agents agents.yaml --style dashboard

Pattern C: Integrated Gateway

Single process serving UI + API + WebSocket:

from praisonai import run_integrated_gateway

run_integrated_gateway(
    port=8765,
    host="0.0.0.0", 
    title="Agent Gateway",
    style="dashboard",
    agents=[{"name": "Assistant", "llm": "gpt-4o"}]
)

Custom Bridges

Wire your own backend services:

from praisonai.integration import configure_host, setup_bridges

configure_host(title="Custom App")
setup_bridges()  # Auto-wire available bridges

# Or set custom backends
import praisonaiui.backends as backends
backends.set_backend("usage_sink", my_custom_sink)

Bridge failures are now logged as warnings for non-ImportError exceptions (previously debug level). This improves visibility when optional services fail to initialize.

---

Best Practices

Environment Configuration

Use environment variables for configuration that changes between deployments:

configure_host(
    title=os.getenv("APP_TITLE", "PraisonAI"),
    agents=[{
        "llm": os.getenv("PRAISONAI_MODEL", "gpt-4o-mini")
    }]
)

Error Handling

Handle import errors gracefully for optional features:

try:
    from praisonai.integration import build_host_app
    app = build_host_app()
except ImportError:
    # Fallback for environments without UI
    from fastapi import FastAPI
    app = FastAPI()

Resource Cleanup

Use context managers for proper cleanup in long-running applications:

from contextlib import asynccontextmanager

@asynccontextmanager
async def lifespan(app):
    # Startup
    setup_bridges()
    yield
    # Cleanup - bridges handle themselves

app = build_host_app()
app.router.lifespan_context = lifespan

---

Related

Integration Patterns

Compare Pattern B vs C vs D

Backend Injection

Custom backend services