leocrm/app/plugins/builtins/ai_assistant/external_api.py

"""External Agent API — allows external systems to interact with AI agents.

Provides REST endpoints for running agents, checking status, and streaming
responses. Authenticated via Bearer API tokens with rate limiting.
"""

from __future__ import annotations

import json
import logging
import uuid
from typing import Any

from fastapi import APIRouter, Depends, HTTPException, Request
from fastapi.responses import StreamingResponse
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

from app.core.db import get_db, set_tenant_context
from app.deps import get_current_user_bearer, require_permission
from app.plugins.builtins.ai_assistant.schemas import (
    ExternalAgentRequest,
    ExternalAgentResponse,
)
from app.plugins.builtins.ai_assistant.services import stream_chat_comm as stream_chat

logger = logging.getLogger(__name__)

router = APIRouter(prefix="/api/v1/external/agent", tags=["external-agent"])


async def _check_external_rate_limit(request: Request, tenant_id: str, token_prefix: str) -> None:
    """Check rate limit: 10 requests/minute per token."""
    from app.core.rate_limit import check_rate_limit

    redis_key = f"rate:external_agent:{tenant_id}:{token_prefix}"
    await check_rate_limit(redis_key, max_attempts=10, window_seconds=60)


@router.post(
    "/{agent_id}/run",
    dependencies=[Depends(require_permission("ai:write"))],
)
async def run_agent_external(
    agent_id: str,
    data: ExternalAgentRequest,
    request: Request,
    current_user: dict[str, Any] = Depends(get_current_user_bearer),
    db: AsyncSession = Depends(get_db),
):
    """Execute an AI agent with a message input.

    Authenticated via Bearer API token. Rate limited to 10 requests/minute.
    """
    tenant_id = uuid.UUID(current_user["tenant_id"])
    await set_tenant_context(db, tenant_id)

    # Rate limiting
    token_prefix = current_user.get("token_prefix", "default")
    await _check_external_rate_limit(request, str(tenant_id), token_prefix)

    try:
        aid = uuid.UUID(agent_id)
    except (ValueError, TypeError):
        raise HTTPException(status_code=400, detail="Invalid agent ID") from None

    # Find the agent
    from app.plugins.builtins.ai_assistant.models import AIAgent

    result = await db.execute(
        select(AIAgent)
        .where(AIAgent.id == aid)
        .where(AIAgent.tenant_id == tenant_id)
        .limit(1)
    )
    agent = result.scalar_one_or_none()
    if agent is None:
        raise HTTPException(status_code=404, detail="Agent not found")
    if not agent.is_active:
        raise HTTPException(status_code=400, detail="Agent is not active")

    # Create or find a session for this external interaction

    # AIChatSession/AIChatMessage removed — using comm tables

    # Create a comm conversation for this external interaction
    from app.plugins.builtins.kommunikation.models import CommConversation
    session = CommConversation(
        tenant_id=tenant_id,
        title=f"External: {data.message[:50]}" if data.message else "External Agent Run",
        owner_id=uuid.UUID(current_user["user_id"]),
        created_by=uuid.UUID(current_user["user_id"]),
        created_by_type="user",
        metadata_={"conversation_type": "ai", "agent_id": str(agent.id)},
    )
    db.add(session)
    await db.flush()

    # Store the user message
    from app.plugins.builtins.kommunikation.models import CommMessage
    user_msg = CommMessage(
        conversation_id=session.id,
        sender_id=uuid.UUID(current_user["user_id"]),
        sender_type="user",
        content=data.message,
        content_format="text",
        tenant_id=tenant_id,
    )
    db.add(user_msg)
    await db.flush()

    # Build user context for RBAC
    user_context = {
        "user_id": current_user["user_id"],
        "tenant_id": current_user["tenant_id"],
        "role": current_user.get("role", ""),
        "permissions": current_user.get("permissions", []),
        "denied_permissions": current_user.get("denied_permissions", []),
        "is_system_admin": current_user.get("is_system_admin", False),
        "field_permissions": current_user.get("field_permissions", {}),
    }

    # Run the agent via streaming chat (non-streaming mode)

    full_response = ""
    async with get_db() as stream_db:
        await set_tenant_context(stream_db, tenant_id)
        async for chunk in stream_chat(
            stream_db,
            session.id,
            agent,
            data.message,
            user_context,
            tenant_id,
            uuid.UUID(current_user["user_id"]),
        ):
            if chunk.startswith("data: ") and chunk != "data: [DONE]\n\n":
                try:
                    payload = json.loads(chunk[6:])
                    if "content" in payload:
                        full_response += payload["content"]
                except (json.JSONDecodeError, IndexError):
                    pass

    # Count tokens (approximate)
    tokens_used = len(full_response.split()) + len(data.message.split())

    return ExternalAgentResponse(
        response=full_response,
        agent_id=str(agent.id),
        session_id=str(session.id),
        tokens_used=tokens_used,
    )


@router.get(
    "/{agent_id}/status",
    dependencies=[Depends(require_permission("ai:read"))],
)
async def get_agent_status_external(
    agent_id: str,
    request: Request,
    current_user: dict[str, Any] = Depends(get_current_user_bearer),
    db: AsyncSession = Depends(get_db),
):
    """Get the status of an AI agent.

    Returns agent configuration, active status, and recent run stats.
    """
    tenant_id = uuid.UUID(current_user["tenant_id"])
    await set_tenant_context(db, tenant_id)

    # Rate limiting
    token_prefix = current_user.get("token_prefix", "default")
    await _check_external_rate_limit(request, str(tenant_id), token_prefix)

    try:
        aid = uuid.UUID(agent_id)
    except (ValueError, TypeError):
        raise HTTPException(status_code=400, detail="Invalid agent ID") from None

    from app.plugins.builtins.ai_assistant.models import AIAgent

    result = await db.execute(
        select(AIAgent)
        .where(AIAgent.id == aid)
        .where(AIAgent.tenant_id == tenant_id)
        .limit(1)
    )
    agent = result.scalar_one_or_none()
    if agent is None:
        raise HTTPException(status_code=404, detail="Agent not found")

    # Get recent run stats
    from sqlalchemy import func

    from app.plugins.builtins.automation.contracts import AutomationContract

    recent_runs = await db.execute(
        select(func.count())
        .select_from(AutomationContract.AgentRun)
        .where(AutomationContract.AgentRun.agent_id == aid)
        .where(AutomationContract.AgentRun.tenant_id == tenant_id)
    )
    total_runs = recent_runs.scalar() or 0

    return {
        "agent_id": str(agent.id),
        "name": agent.name,
        "description": agent.description,
        "is_active": agent.is_active,
        "tool_count": len(agent.tool_ids or []),
        "total_runs": total_runs,
        "created_at": agent.created_at.isoformat() if agent.created_at else None,
        "updated_at": agent.updated_at.isoformat() if agent.updated_at else None,
    }


@router.post(
    "/{agent_id}/stream",
    dependencies=[Depends(require_permission("ai:write"))],
)
async def stream_agent_external(
    agent_id: str,
    data: ExternalAgentRequest,
    request: Request,
    current_user: dict[str, Any] = Depends(get_current_user_bearer),
    db: AsyncSession = Depends(get_db),
):
    """Stream an AI agent response via SSE.

    Authenticated via Bearer API token. Rate limited to 10 requests/minute.
    Returns Server-Sent Events stream.
    """
    tenant_id = uuid.UUID(current_user["tenant_id"])
    await set_tenant_context(db, tenant_id)

    # Rate limiting
    token_prefix = current_user.get("token_prefix", "default")
    await _check_external_rate_limit(request, str(tenant_id), token_prefix)

    try:
        aid = uuid.UUID(agent_id)
    except (ValueError, TypeError):
        raise HTTPException(status_code=400, detail="Invalid agent ID") from None

    from app.plugins.builtins.ai_assistant.models import AIAgent

    result = await db.execute(
        select(AIAgent)
        .where(AIAgent.id == aid)
        .where(AIAgent.tenant_id == tenant_id)
        .limit(1)
    )
    agent = result.scalar_one_or_none()
    if agent is None:
        raise HTTPException(status_code=404, detail="Agent not found")
    if not agent.is_active:
        raise HTTPException(status_code=400, detail="Agent is not active")

    # Create session
    # AIChatSession removed — using comm tables

    from app.plugins.builtins.kommunikation.models import CommConversation
    session = CommConversation(
        tenant_id=tenant_id,
        title=f"External Stream: {data.message[:50]}" if data.message else "External Agent Stream",
        owner_id=uuid.UUID(current_user["user_id"]),
        created_by=uuid.UUID(current_user["user_id"]),
        created_by_type="user",
        metadata_={"conversation_type": "ai", "agent_id": str(agent.id)},
    )
    db.add(session)
    await db.commit()

    # Build user context
    user_context = {
        "user_id": current_user["user_id"],
        "tenant_id": current_user["tenant_id"],
        "role": current_user.get("role", ""),
        "permissions": current_user.get("permissions", []),
        "denied_permissions": current_user.get("denied_permissions", []),
        "is_system_admin": current_user.get("is_system_admin", False),
        "field_permissions": current_user.get("field_permissions", {}),
    }

    from app.plugins.builtins.ai_assistant.services import stream_chat_comm

    async def event_stream():
        from app.core.db import get_session_factory
        factory = get_session_factory()
        async with factory() as stream_db:
            await set_tenant_context(stream_db, tenant_id)
            async for chunk in stream_chat_comm(
                stream_db, session.id, agent, data.message, user_context, tenant_id, uuid.UUID(current_user["user_id"])
            ):
                yield chunk
        yield "data: [DONE]\n\n"

    return StreamingResponse(
        event_stream(),
        media_type="text/event-stream",
        headers={
            "Cache-Control": "no-cache",
            "Connection": "keep-alive",
            "X-Accel-Buffering": "no",
        },
    )