diff --git a/rnd/autogpt_builder/src/app/globals.css b/rnd/autogpt_builder/src/app/globals.css
index 39a92718dd..d90551d168 100644
--- a/rnd/autogpt_builder/src/app/globals.css
+++ b/rnd/autogpt_builder/src/app/globals.css
@@ -7,3 +7,60 @@
text-wrap: balance;
}
}
+
+
+
+:root {
+ --background: 180 100% 95%;
+ --foreground: 180 5% 0%;
+ --card: 180 50% 90%;
+ --card-foreground: 180 5% 10%;
+ --popover: 180 100% 95%;
+ --popover-foreground: 180 100% 0%;
+ --primary: 180 76.5% 30%;
+ --primary-foreground: 0 0% 100%;
+ --secondary: 180 30% 70%;
+ --secondary-foreground: 0 0% 0%;
+ --muted: 142 30% 85%;
+ --muted-foreground: 180 5% 35%;
+ --accent: 142 30% 80%;
+ --accent-foreground: 180 5% 10%;
+ --destructive: 0 100% 30%;
+ --destructive-foreground: 180 5% 90%;
+ --border: 180 30% 50%;
+ --input: 180 30% 18%;
+ --ring: 180 76.5% 30%;
+ --radius: 0.5rem;
+}
+.dark {
+ --background: 180 50% 5%;
+ --foreground: 180 5% 90%;
+ --card: 180 50% 0%;
+ --card-foreground: 180 5% 90%;
+ --popover: 180 50% 5%;
+ --popover-foreground: 180 5% 90%;
+ --primary: 180 76.5% 30%;
+ --primary-foreground: 0 0% 100%;
+ --secondary: 180 30% 10%;
+ --secondary-foreground: 0 0% 100%;
+ --muted: 142 30% 15%;
+ --muted-foreground: 180 5% 60%;
+ --accent: 142 30% 15%;
+ --accent-foreground: 180 5% 90%;
+ --destructive: 0 100% 30%;
+ --destructive-foreground: 180 5% 90%;
+ --border: 180 30% 18%;
+ --input: 180 30% 18%;
+ --ring: 180 76.5% 30%;
+ --radius: 0.5rem;
+}
+
+
+@layer base {
+ * {
+ @apply border-border;
+ }
+ body {
+ @apply bg-background text-foreground;
+ }
+}
diff --git a/rnd/autogpt_builder/src/app/layout.tsx b/rnd/autogpt_builder/src/app/layout.tsx
index 604100536c..f7b4dc8ddb 100644
--- a/rnd/autogpt_builder/src/app/layout.tsx
+++ b/rnd/autogpt_builder/src/app/layout.tsx
@@ -1,10 +1,8 @@
import React from 'react';
import type { Metadata } from "next";
-import { ThemeProvider as NextThemeProvider } from "next-themes";
-import { type ThemeProviderProps } from "next-themes/dist/types";
import { Inter } from "next/font/google";
import Link from "next/link";
-import { CubeIcon, Pencil1Icon, ReaderIcon, TimerIcon } from "@radix-ui/react-icons";
+import { Pencil1Icon, TimerIcon } from "@radix-ui/react-icons";
import "./globals.css";
@@ -13,6 +11,7 @@ import { Button, buttonVariants } from "@/components/ui/button";
import {
DropdownMenu, DropdownMenuContent, DropdownMenuItem, DropdownMenuTrigger
} from "@/components/ui/dropdown-menu";
+import { Providers } from "@/app/providers";
const inter = Inter({ subsets: ["latin"] });
@@ -21,60 +20,57 @@ export const metadata: Metadata = {
description: "Your one stop shop to creating AI Agents",
};
-function ThemeProvider({ children, ...props }: ThemeProviderProps) {
- return {children}
-}
-
const NavBar = () => (
-
+
);
-
export default function RootLayout({
- children,
+ children,
}: Readonly<{
children: React.ReactNode;
}>) {
return (
-
+
-
-
-
-
- {children}
-
-
-
+ >
+
+
+
+ {children}
+
+
+
-
+
);
}
diff --git a/rnd/autogpt_builder/src/app/providers.tsx b/rnd/autogpt_builder/src/app/providers.tsx
new file mode 100644
index 0000000000..b07beb96d0
--- /dev/null
+++ b/rnd/autogpt_builder/src/app/providers.tsx
@@ -0,0 +1,14 @@
+'use client'
+
+import * as React from 'react'
+import { ThemeProvider as NextThemesProvider } from 'next-themes'
+import { ThemeProviderProps } from 'next-themes/dist/types'
+import { TooltipProvider } from '@/components/ui/tooltip'
+
+export function Providers({ children, ...props }: ThemeProviderProps) {
+ return (
+
+ {children}
+
+ )
+}
\ No newline at end of file
diff --git a/rnd/autogpt_builder/src/components/Flow.tsx b/rnd/autogpt_builder/src/components/Flow.tsx
index 730d14298e..95f792cca3 100644
--- a/rnd/autogpt_builder/src/components/Flow.tsx
+++ b/rnd/autogpt_builder/src/components/Flow.tsx
@@ -15,7 +15,7 @@ import ReactFlow, {
import 'reactflow/dist/style.css';
import CustomNode from './CustomNode';
import './flow.css';
-import AutoGPTServerAPI, { Block, Graph, ObjectSchema } from '@/lib/autogpt-server-api';
+import AutoGPTServerAPI, { Block, Graph, NodeExecutionResult, ObjectSchema } from '@/lib/autogpt-server-api';
import { Button } from './ui/button';
import { Input } from './ui/input';
import { ChevronRight, ChevronLeft } from "lucide-react";
@@ -440,7 +440,7 @@ const FlowEditor: React.FC<{
- const updateNodesWithExecutionData = (executionData: any[]) => {
+ const updateNodesWithExecutionData = (executionData: NodeExecutionResult[]) => {
setNodes((nds) =>
nds.map((node) => {
const nodeExecution = executionData.find((exec) => exec.node_id === node.data.backend_id);
diff --git a/rnd/autogpt_builder/src/lib/autogpt-server-api/client.ts b/rnd/autogpt_builder/src/lib/autogpt-server-api/client.ts
index 61b920a0cd..6901326ab1 100644
--- a/rnd/autogpt_builder/src/lib/autogpt-server-api/client.ts
+++ b/rnd/autogpt_builder/src/lib/autogpt-server-api/client.ts
@@ -182,7 +182,9 @@ export default class AutoGPTServerAPI {
}
}
- sendWebSocketMessage(method: string, data: any) {
+ sendWebSocketMessage(
+ method: M, data: WebsocketMessageTypeMap[M]
+ ) {
if (this.socket && this.socket.readyState === WebSocket.OPEN) {
this.socket.send(JSON.stringify({ method, data }));
} else {
@@ -190,7 +192,9 @@ export default class AutoGPTServerAPI {
}
}
- onWebSocketMessage(method: string, handler: (data: any) => void) {
+ onWebSocketMessage(
+ method: M, handler: (data: WebsocketMessageTypeMap[M]) => void
+ ) {
this.messageHandlers[method] = handler;
}
@@ -198,7 +202,7 @@ export default class AutoGPTServerAPI {
this.sendWebSocketMessage('subscribe', { graph_id: graphId });
}
- runGraph(graphId: string, data: any = {}) {
+ runGraph(graphId: string, data: WebsocketMessageTypeMap["run_graph"]["data"] = {}) {
this.sendWebSocketMessage('run_graph', { graph_id: graphId, data });
}
}
@@ -212,3 +216,9 @@ type GraphCreateRequestBody = {
} | {
graph: GraphCreatable;
}
+
+type WebsocketMessageTypeMap = {
+ subscribe: { graph_id: string; };
+ run_graph: { graph_id: string; data: { [key: string]: any }; };
+ execution_event: NodeExecutionResult;
+}
diff --git a/rnd/autogpt_builder/tailwind.config.ts b/rnd/autogpt_builder/tailwind.config.ts
index 1becdec7d3..9784068cc0 100644
--- a/rnd/autogpt_builder/tailwind.config.ts
+++ b/rnd/autogpt_builder/tailwind.config.ts
@@ -15,21 +15,65 @@ const config = {
},
},
extend: {
+ fontFamily: {
+ sans: ['var(--font-geist-sans)'],
+ mono: ['var(--font-geist-mono)']
+ },
+ colors: {
+ border: 'hsl(var(--border))',
+ input: 'hsl(var(--input))',
+ ring: 'hsl(var(--ring))',
+ background: 'hsl(var(--background))',
+ foreground: 'hsl(var(--foreground))',
+ primary: {
+ DEFAULT: 'hsl(var(--primary))',
+ foreground: 'hsl(var(--primary-foreground))'
+ },
+ secondary: {
+ DEFAULT: 'hsl(var(--secondary))',
+ foreground: 'hsl(var(--secondary-foreground))'
+ },
+ destructive: {
+ DEFAULT: 'hsl(var(--destructive))',
+ foreground: 'hsl(var(--destructive-foreground))'
+ },
+ muted: {
+ DEFAULT: 'hsl(var(--muted))',
+ foreground: 'hsl(var(--muted-foreground))'
+ },
+ accent: {
+ DEFAULT: 'hsl(var(--accent))',
+ foreground: 'hsl(var(--accent-foreground))'
+ },
+ popover: {
+ DEFAULT: 'hsl(var(--popover))',
+ foreground: 'hsl(var(--popover-foreground))'
+ },
+ card: {
+ DEFAULT: 'hsl(var(--card))',
+ foreground: 'hsl(var(--card-foreground))'
+ }
+ },
+ borderRadius: {
+ lg: 'var(--radius)',
+ md: 'calc(var(--radius) - 2px)',
+ sm: 'calc(var(--radius) - 4px)'
+ },
keyframes: {
- "accordion-down": {
- from: { height: "0" },
- to: { height: "var(--radix-accordion-content-height)" },
- },
- "accordion-up": {
- from: { height: "var(--radix-accordion-content-height)" },
- to: { height: "0" },
+ 'accordion-down': {
+ from: { height: '0' },
+ to: { height: 'var(--radix-accordion-content-height)' }
},
+ 'accordion-up': {
+ from: { height: 'var(--radix-accordion-content-height)' },
+ to: { height: '0' }
+ }
},
animation: {
- "accordion-down": "accordion-down 0.2s ease-out",
- "accordion-up": "accordion-up 0.2s ease-out",
- },
- },
+ 'accordion-down': 'accordion-down 0.2s ease-out',
+ 'accordion-up': 'accordion-up 0.2s ease-out'
+ }
+ }
},
plugins: [require("tailwindcss-animate")],
} satisfies Config;
diff --git a/rnd/autogpt_server/autogpt_server/app.py b/rnd/autogpt_server/autogpt_server/app.py
index fa090a579e..57141bfb35 100644
--- a/rnd/autogpt_server/autogpt_server/app.py
+++ b/rnd/autogpt_server/autogpt_server/app.py
@@ -28,14 +28,13 @@ def run_processes(processes: list[AppProcess], **kwargs):
def main(**kwargs):
- settings = get_config_and_secrets()
set_start_method("spawn", force=True)
freeze_support()
run_processes(
[
PyroNameServer(),
- ExecutionManager(pool_size=settings.config.num_workers),
+ ExecutionManager(),
ExecutionScheduler(),
AgentServer(),
],
diff --git a/rnd/autogpt_server/autogpt_server/data/execution.py b/rnd/autogpt_server/autogpt_server/data/execution.py
index 09cd513392..6726ed9963 100644
--- a/rnd/autogpt_server/autogpt_server/data/execution.py
+++ b/rnd/autogpt_server/autogpt_server/data/execution.py
@@ -2,7 +2,7 @@ from collections import defaultdict
from datetime import datetime, timezone
from enum import Enum
from multiprocessing import Manager
-from typing import Any
+from typing import Any, Generic, TypeVar
from prisma.models import (
AgentGraphExecution,
@@ -16,6 +16,11 @@ from autogpt_server.data.block import BlockData, BlockInput, CompletedBlockOutpu
from autogpt_server.util import json
+class GraphExecution(BaseModel):
+ graph_exec_id: str
+ start_node_execs: list["NodeExecution"]
+
+
class NodeExecution(BaseModel):
graph_exec_id: str
node_exec_id: str
@@ -31,7 +36,10 @@ class ExecutionStatus(str, Enum):
FAILED = "FAILED"
-class ExecutionQueue:
+T = TypeVar("T")
+
+
+class ExecutionQueue(Generic[T]):
"""
Queue for managing the execution of agents.
This will be shared between different processes
@@ -40,11 +48,11 @@ class ExecutionQueue:
def __init__(self):
self.queue = Manager().Queue()
- def add(self, execution: NodeExecution) -> NodeExecution:
+ def add(self, execution: T) -> T:
self.queue.put(execution)
return execution
- def get(self) -> NodeExecution:
+ def get(self) -> T:
return self.queue.get()
def empty(self) -> bool:
@@ -146,14 +154,15 @@ async def upsert_execution_input(
node_id: str,
graph_exec_id: str,
input_name: str,
- data: Any,
-) -> str:
+ input_data: Any,
+) -> tuple[str, BlockInput]:
"""
Insert AgentNodeExecutionInputOutput record for as one of AgentNodeExecution.Input.
If there is no AgentNodeExecution that has no `input_name` as input, create new one.
Returns:
- The id of the created or existing AgentNodeExecution.
+ * The id of the created or existing AgentNodeExecution.
+ * Dict of node input data, key is the input name, value is the input data.
"""
existing_execution = await AgentNodeExecution.prisma().find_first(
where={ # type: ignore
@@ -162,18 +171,25 @@ async def upsert_execution_input(
"Input": {"every": {"name": {"not": input_name}}},
},
order={"addedTime": "asc"},
+ include={"Input": True},
)
- json_data = json.dumps(data)
+ json_input_data = json.dumps(input_data)
if existing_execution:
await AgentNodeExecutionInputOutput.prisma().create(
data={
"name": input_name,
- "data": json_data,
+ "data": json_input_data,
"referencedByInputExecId": existing_execution.id,
}
)
- return existing_execution.id
+ return existing_execution.id, {
+ **{
+ input_data.name: json.loads(input_data.data)
+ for input_data in existing_execution.Input or []
+ },
+ input_name: input_data,
+ }
else:
result = await AgentNodeExecution.prisma().create(
@@ -181,10 +197,10 @@ async def upsert_execution_input(
"agentNodeId": node_id,
"agentGraphExecutionId": graph_exec_id,
"executionStatus": ExecutionStatus.INCOMPLETE,
- "Input": {"create": {"name": input_name, "data": json_data}},
+ "Input": {"create": {"name": input_name, "data": json_input_data}},
}
)
- return result.id
+ return result.id, {input_name: input_data}
async def upsert_execution_output(
@@ -245,26 +261,6 @@ async def get_execution_results(graph_exec_id: str) -> list[ExecutionResult]:
return res
-async def get_node_execution_input(node_exec_id: str) -> BlockInput:
- """
- Get execution node input data from the previous node execution result.
-
- Returns:
- dictionary of input data, key is the input name, value is the input data.
- """
- execution = await AgentNodeExecution.prisma().find_unique_or_raise(
- where={"id": node_exec_id},
- include=EXECUTION_RESULT_INCLUDE, # type: ignore
- )
- if not execution.AgentNode:
- raise ValueError(f"Node {execution.agentNodeId} not found.")
-
- return {
- input_data.name: json.loads(input_data.data)
- for input_data in execution.Input or []
- }
-
-
LIST_SPLIT = "_$_"
DICT_SPLIT = "_#_"
OBJC_SPLIT = "_@_"
diff --git a/rnd/autogpt_server/autogpt_server/executor/manager.py b/rnd/autogpt_server/autogpt_server/executor/manager.py
index 731297d087..630ad88877 100644
--- a/rnd/autogpt_server/autogpt_server/executor/manager.py
+++ b/rnd/autogpt_server/autogpt_server/executor/manager.py
@@ -1,6 +1,7 @@
import asyncio
import logging
-from concurrent.futures import ProcessPoolExecutor
+from concurrent.futures import Future, ProcessPoolExecutor, TimeoutError
+from contextlib import contextmanager
from typing import TYPE_CHECKING, Any, Coroutine, Generator, TypeVar
if TYPE_CHECKING:
@@ -8,11 +9,12 @@ if TYPE_CHECKING:
from autogpt_server.data import db
from autogpt_server.data.block import Block, BlockData, BlockInput, get_block
-from autogpt_server.data.execution import ExecutionQueue, ExecutionStatus
-from autogpt_server.data.execution import NodeExecution as Execution
from autogpt_server.data.execution import (
+ ExecutionQueue,
+ ExecutionStatus,
+ GraphExecution,
+ NodeExecution,
create_graph_execution,
- get_node_execution_input,
merge_execution_input,
parse_execution_output,
update_execution_status,
@@ -21,20 +23,21 @@ from autogpt_server.data.execution import (
)
from autogpt_server.data.graph import Graph, Link, Node, get_graph, get_node
from autogpt_server.util.service import AppService, expose, get_service_client
+from autogpt_server.util.settings import Config
logger = logging.getLogger(__name__)
def get_log_prefix(graph_eid: str, node_eid: str, block_name: str = "-"):
- return f"[ExecutionManager] [graph-{graph_eid}|node-{node_eid}|{block_name}]"
+ return f"[ExecutionManager][graph-eid-{graph_eid}|node-eid-{node_eid}|{block_name}]"
T = TypeVar("T")
-ExecutionStream = Generator[Execution, None, None]
+ExecutionStream = Generator[NodeExecution, None, None]
def execute_node(
- loop: asyncio.AbstractEventLoop, api_client: "AgentServer", data: Execution
+ loop: asyncio.AbstractEventLoop, api_client: "AgentServer", data: NodeExecution
) -> ExecutionStream:
"""
Execute a node in the graph. This will trigger a block execution on a node,
@@ -58,9 +61,8 @@ def execute_node(
return loop.run_until_complete(f)
def update_execution(status: ExecutionStatus):
- api_client.send_execution_update(
- wait(update_execution_status(node_exec_id, status)).model_dump()
- )
+ exec_update = wait(update_execution_status(node_exec_id, status))
+ api_client.send_execution_update(exec_update.model_dump())
node = wait(get_node(node_id))
if not node:
@@ -89,7 +91,7 @@ def execute_node(
wait(upsert_execution_output(node_exec_id, output_name, output_data))
update_execution(ExecutionStatus.COMPLETED)
- for execution in enqueue_next_nodes(
+ for execution in _enqueue_next_nodes(
api_client=api_client,
loop=loop,
node=node,
@@ -107,23 +109,31 @@ def execute_node(
raise e
-def enqueue_next_nodes(
+@contextmanager
+def synchronized(api_client: "AgentServer", key: Any):
+ api_client.acquire_lock(key)
+ try:
+ yield
+ finally:
+ api_client.release_lock(key)
+
+
+def _enqueue_next_nodes(
api_client: "AgentServer",
loop: asyncio.AbstractEventLoop,
node: Node,
output: BlockData,
graph_exec_id: str,
prefix: str,
-) -> list[Execution]:
+) -> list[NodeExecution]:
def wait(f: Coroutine[T, Any, T]) -> T:
return loop.run_until_complete(f)
def execution_update(node_exec_id: str, status: ExecutionStatus):
- api_client.send_execution_update(
- wait(update_execution_status(node_exec_id, status)).model_dump()
- )
+ exec_update = wait(update_execution_status(node_exec_id, status))
+ api_client.send_execution_update(exec_update.model_dump())
- def update_execution_result(node_link: Link) -> Execution | None:
+ def register_next_execution(node_link: Link) -> NodeExecution | None:
next_output_name = node_link.source_name
next_input_name = node_link.sink_name
next_node_id = node_link.sink_id
@@ -137,18 +147,21 @@ def enqueue_next_nodes(
logger.error(f"{prefix} Error, next node {next_node_id} not found.")
return
- next_node_exec_id = wait(
- upsert_execution_input(
- node_id=next_node_id,
- graph_exec_id=graph_exec_id,
- input_name=next_input_name,
- data=next_data,
+ # Upserting execution input includes reading the existing input pins in the node
+ # which then either updating the existing execution input or creating a new one.
+ # While reading, we should avoid any other process to add input to the same node.
+ with synchronized(api_client, ("upsert_input", next_node_id, graph_exec_id)):
+ next_node_exec_id, next_node_input = wait(
+ upsert_execution_input(
+ node_id=next_node_id,
+ graph_exec_id=graph_exec_id,
+ input_name=next_input_name,
+ input_data=next_data,
+ )
)
- )
- next_node_input = wait(get_node_execution_input(next_node_exec_id))
next_node_input, validation_msg = validate_exec(next_node, next_node_input)
- suffix = f"{next_output_name}~{next_input_name}#{next_node_id}:{validation_msg}"
+ suffix = f"{next_output_name}>{next_input_name}~{next_node_id}:{validation_msg}"
if not next_node_input:
logger.warning(f"{prefix} Skipped queueing {suffix}")
@@ -157,7 +170,7 @@ def enqueue_next_nodes(
# Input is complete, enqueue the execution.
logger.warning(f"{prefix} Enqueued {suffix}")
execution_update(next_node_exec_id, ExecutionStatus.QUEUED)
- return Execution(
+ return NodeExecution(
graph_exec_id=graph_exec_id,
node_exec_id=next_node_exec_id,
node_id=next_node.id,
@@ -167,7 +180,7 @@ def enqueue_next_nodes(
return [
execution
for link in node.output_links
- if (execution := update_execution_result(link))
+ if (execution := register_next_execution(link))
]
@@ -228,44 +241,118 @@ def get_agent_server_client() -> "AgentServer":
class Executor:
- loop: asyncio.AbstractEventLoop
+ """
+ This class contains event handlers for the process pool executor events.
+
+ The main events are:
+ on_node_executor_start: Initialize the process that executes the node.
+ on_node_execution: Execution logic for a node.
+
+ on_graph_executor_start: Initialize the process that executes the graph.
+ on_graph_execution: Execution logic for a graph.
+
+ The execution flow:
+ 1. Graph execution request is added to the queue.
+ 2. Graph executor loop picks the request from the queue.
+ 3. Graph executor loop submits the graph execution request to the executor pool.
+ [on_graph_execution]
+ 4. Graph executor initialize the node execution queue.
+ 5. Graph executor adds the starting nodes to the node execution queue.
+ 6. Graph executor waits for all nodes to be executed.
+ [on_node_execution]
+ 7. Node executor picks the node execution request from the queue.
+ 8. Node executor executes the node.
+ 9. Node executor enqueues the next executed nodes to the node execution queue.
+ """
@classmethod
- def on_executor_start(cls):
+ def on_node_executor_start(cls):
cls.loop = asyncio.new_event_loop()
cls.loop.run_until_complete(db.connect())
cls.agent_server_client = get_agent_server_client()
@classmethod
- def on_start_execution(cls, q: ExecutionQueue, data: Execution) -> bool:
+ def on_node_execution(cls, q: ExecutionQueue[NodeExecution], data: NodeExecution):
prefix = get_log_prefix(data.graph_exec_id, data.node_exec_id)
try:
- logger.warning(f"{prefix} Start execution")
+ logger.warning(f"{prefix} Start node execution")
for execution in execute_node(cls.loop, cls.agent_server_client, data):
q.add(execution)
- return True
+ logger.warning(f"{prefix} Finished node execution")
except Exception as e:
- logger.exception(f"{prefix} Error: {e}")
- return False
+ logger.exception(f"{prefix} Failed node execution: {e}")
+
+ @classmethod
+ def on_graph_executor_start(cls):
+ cls.pool_size = Config().num_node_workers
+ cls.executor = ProcessPoolExecutor(
+ max_workers=cls.pool_size,
+ initializer=cls.on_node_executor_start,
+ )
+ logger.warning(f"Graph executor started with max-{cls.pool_size} node workers.")
+
+ @classmethod
+ def on_graph_execution(cls, graph_data: GraphExecution):
+ prefix = get_log_prefix(graph_data.graph_exec_id, "*")
+ logger.warning(f"{prefix} Start graph execution")
+
+ try:
+ queue = ExecutionQueue[NodeExecution]()
+ for node_exec in graph_data.start_node_execs:
+ queue.add(node_exec)
+
+ futures: dict[str, Future] = {}
+ while not queue.empty():
+ execution = queue.get()
+
+ # Avoid parallel execution of the same node.
+ fut = futures.get(execution.node_id)
+ if fut and not fut.done():
+ cls.wait_future(fut)
+ logger.warning(f"{prefix} Re-enqueueing {execution.node_id}")
+ queue.add(execution)
+ continue
+
+ futures[execution.node_id] = cls.executor.submit(
+ cls.on_node_execution, queue, execution
+ )
+
+ # Avoid terminating graph execution when some nodes are still running.
+ while queue.empty() and futures:
+ for node_id, future in list(futures.items()):
+ if future.done():
+ del futures[node_id]
+ elif queue.empty():
+ cls.wait_future(future)
+
+ logger.warning(f"{prefix} Finished graph execution")
+ except Exception as e:
+ logger.exception(f"{prefix} Failed graph execution: {e}")
+
+ @classmethod
+ def wait_future(cls, future: Future):
+ try:
+ future.result(timeout=3)
+ except TimeoutError:
+ # Avoid being blocked by long-running node, by not waiting its completion.
+ pass
class ExecutionManager(AppService):
- def __init__(self, pool_size: int):
- self.pool_size = pool_size
- self.queue = ExecutionQueue()
+ def __init__(self):
+ self.pool_size = Config().num_graph_workers
+ self.queue = ExecutionQueue[GraphExecution]()
def run_service(self):
with ProcessPoolExecutor(
max_workers=self.pool_size,
- initializer=Executor.on_executor_start,
+ initializer=Executor.on_graph_executor_start,
) as executor:
- logger.warning(f"Execution manager started with {self.pool_size} workers.")
+ logger.warning(
+ f"Execution manager started with max-{self.pool_size} graph workers."
+ )
while True:
- executor.submit(
- Executor.on_start_execution,
- self.queue,
- self.queue.get(),
- )
+ executor.submit(Executor.on_graph_execution, self.queue.get())
@property
def agent_server_client(self) -> "AgentServer":
@@ -292,32 +379,26 @@ class ExecutionManager(AppService):
nodes_input=nodes_input,
)
)
- executions: list[BlockInput] = []
+
+ starting_node_execs = []
for node_exec in node_execs:
- self.add_node_execution(
- Execution(
+ starting_node_execs.append(
+ NodeExecution(
graph_exec_id=node_exec.graph_exec_id,
node_exec_id=node_exec.node_exec_id,
node_id=node_exec.node_id,
data=node_exec.input_data,
)
)
-
- executions.append(
- {
- "id": node_exec.node_exec_id,
- "node_id": node_exec.node_id,
- }
+ exec_update = self.run_and_wait(
+ update_execution_status(node_exec.node_exec_id, ExecutionStatus.QUEUED)
)
+ self.agent_server_client.send_execution_update(exec_update.model_dump())
- return {
- "id": graph_exec_id,
- "executions": executions,
- }
-
- def add_node_execution(self, execution: Execution) -> Execution:
- res = self.run_and_wait(
- update_execution_status(execution.node_exec_id, ExecutionStatus.QUEUED)
+ graph_exec = GraphExecution(
+ graph_exec_id=graph_exec_id,
+ start_node_execs=starting_node_execs,
)
- self.agent_server_client.send_execution_update(res.model_dump())
- return self.queue.add(execution)
+ self.queue.add(graph_exec)
+
+ return {"id": graph_exec_id}
diff --git a/rnd/autogpt_server/autogpt_server/server/server.py b/rnd/autogpt_server/autogpt_server/server/server.py
index e65420f5db..9a2d4e10a5 100644
--- a/rnd/autogpt_server/autogpt_server/server/server.py
+++ b/rnd/autogpt_server/autogpt_server/server/server.py
@@ -18,9 +18,14 @@ from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
import autogpt_server.server.ws_api
-from autogpt_server.data import block, db, execution
+from autogpt_server.data import block, db
from autogpt_server.data import graph as graph_db
from autogpt_server.data.block import BlockInput, CompletedBlockOutput
+from autogpt_server.data.execution import (
+ ExecutionResult,
+ get_execution_results,
+ list_executions,
+)
from autogpt_server.executor import ExecutionManager, ExecutionScheduler
from autogpt_server.server.conn_manager import ConnectionManager
from autogpt_server.server.model import (
@@ -30,17 +35,19 @@ from autogpt_server.server.model import (
WsMessage,
)
from autogpt_server.util.data import get_frontend_path
+from autogpt_server.util.lock import KeyedMutex
from autogpt_server.util.service import AppService, expose, get_service_client
from autogpt_server.util.settings import Settings
class AgentServer(AppService):
- event_queue: asyncio.Queue[execution.ExecutionResult] = asyncio.Queue()
+ event_queue: asyncio.Queue[ExecutionResult] = asyncio.Queue()
manager = ConnectionManager()
+ mutex = KeyedMutex()
async def event_broadcaster(self):
while True:
- event: execution.ExecutionResult = await self.event_queue.get()
+ event: ExecutionResult = await self.event_queue.get()
await self.manager.send_execution_result(event)
@asynccontextmanager
@@ -546,17 +553,17 @@ class AgentServer(AppService):
status_code=404, detail=f"Agent #{graph_id}{rev} not found."
)
- return await execution.list_executions(graph_id, graph_version)
+ return await list_executions(graph_id, graph_version)
@classmethod
async def get_run_execution_results(
cls, graph_id: str, run_id: str
- ) -> list[execution.ExecutionResult]:
+ ) -> list[ExecutionResult]:
graph = await graph_db.get_graph(graph_id)
if not graph:
raise HTTPException(status_code=404, detail=f"Graph #{graph_id} not found.")
- return await execution.get_execution_results(run_id)
+ return await get_execution_results(run_id)
async def create_schedule(
self, graph_id: str, cron: str, input_data: dict[Any, Any]
@@ -585,14 +592,32 @@ class AgentServer(AppService):
@expose
def send_execution_update(self, execution_result_dict: dict[Any, Any]):
- execution_result = execution.ExecutionResult(**execution_result_dict)
+ execution_result = ExecutionResult(**execution_result_dict)
self.run_and_wait(self.event_queue.put(execution_result))
+ @expose
+ def acquire_lock(self, key: Any):
+ self.mutex.lock(key)
+
+ @expose
+ def release_lock(self, key: Any):
+ self.mutex.unlock(key)
+
@classmethod
def update_configuration(
cls,
updated_settings: Annotated[
- Dict[str, Any], Body(examples=[{"config": {"num_workers": 10}}])
+ Dict[str, Any],
+ Body(
+ examples=[
+ {
+ "config": {
+ "num_graph_workers": 10,
+ "num_node_workers": 10,
+ }
+ }
+ ]
+ ),
],
):
settings = Settings()
diff --git a/rnd/autogpt_server/autogpt_server/util/lock.py b/rnd/autogpt_server/autogpt_server/util/lock.py
new file mode 100644
index 0000000000..6c66b67a30
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/util/lock.py
@@ -0,0 +1,32 @@
+from threading import Lock
+from typing import Any
+
+from expiringdict import ExpiringDict
+
+
+class KeyedMutex:
+ """
+ This class provides a mutex that can be locked and unlocked by a specific key.
+ It uses an ExpiringDict to automatically clear the mutex after a specified timeout,
+ in case the key is not unlocked for a specified duration, to prevent memory leaks.
+ """
+
+ def __init__(self):
+ self.locks: dict[Any, Lock] = ExpiringDict(max_len=6000, max_age_seconds=60)
+ self.locks_lock = Lock()
+
+ def lock(self, key: Any):
+ with self.locks_lock:
+ if key not in self.locks:
+ self.locks[key] = (lock := Lock())
+ else:
+ lock = self.locks[key]
+ lock.acquire()
+
+ def unlock(self, key: Any):
+ with self.locks_lock:
+ if key in self.locks:
+ lock = self.locks.pop(key)
+ else:
+ return
+ lock.release()
diff --git a/rnd/autogpt_server/autogpt_server/util/service.py b/rnd/autogpt_server/autogpt_server/util/service.py
index 83da51e2dd..a77346b2b7 100644
--- a/rnd/autogpt_server/autogpt_server/util/service.py
+++ b/rnd/autogpt_server/autogpt_server/util/service.py
@@ -51,11 +51,11 @@ class AppService(AppProcess):
while True:
time.sleep(10)
- def run_async(self, coro: Coroutine[T, Any, T]):
+ def __run_async(self, coro: Coroutine[T, Any, T]):
return asyncio.run_coroutine_threadsafe(coro, self.shared_event_loop)
def run_and_wait(self, coro: Coroutine[T, Any, T]) -> T:
- future = self.run_async(coro)
+ future = self.__run_async(coro)
return future.result()
def run(self):
@@ -85,7 +85,6 @@ class AppService(AppProcess):
daemon.requestLoop()
def __start_async_loop(self):
- # asyncio.set_event_loop(self.shared_event_loop)
self.shared_event_loop.run_forever()
diff --git a/rnd/autogpt_server/autogpt_server/util/settings.py b/rnd/autogpt_server/autogpt_server/util/settings.py
index b320051f9a..a309b04357 100644
--- a/rnd/autogpt_server/autogpt_server/util/settings.py
+++ b/rnd/autogpt_server/autogpt_server/util/settings.py
@@ -41,8 +41,17 @@ class UpdateTrackingModel(BaseModel, Generic[T]):
class Config(UpdateTrackingModel["Config"], BaseSettings):
"""Config for the server."""
- num_workers: int = Field(
- default=9, ge=1, le=100, description="Number of workers to use for execution."
+ num_graph_workers: int = Field(
+ default=1,
+ ge=1,
+ le=100,
+ description="Maximum number of workers to use for graph execution.",
+ )
+ num_node_workers: int = Field(
+ default=1,
+ ge=1,
+ le=100,
+ description="Maximum number of workers to use for node execution within a single graph.",
)
# Add more configuration fields as needed
diff --git a/rnd/autogpt_server/autogpt_server/util/test.py b/rnd/autogpt_server/autogpt_server/util/test.py
index 00a59a4007..8242e776dd 100644
--- a/rnd/autogpt_server/autogpt_server/util/test.py
+++ b/rnd/autogpt_server/autogpt_server/util/test.py
@@ -13,7 +13,7 @@ log = print
class SpinTestServer:
def __init__(self):
self.name_server = PyroNameServer()
- self.exec_manager = ExecutionManager(1)
+ self.exec_manager = ExecutionManager()
self.agent_server = AgentServer()
self.scheduler = ExecutionScheduler()
diff --git a/rnd/autogpt_server/config.default.json b/rnd/autogpt_server/config.default.json
index cbc8006a24..b3afd56b5d 100644
--- a/rnd/autogpt_server/config.default.json
+++ b/rnd/autogpt_server/config.default.json
@@ -1,3 +1,4 @@
{
- "num_workers": 5
-}
\ No newline at end of file
+ "num_graph_workers": 10,
+ "num_node_workers": 10
+}
diff --git a/rnd/autogpt_server/migrations/20240724150133_node_input_unique_constraint/migration.sql b/rnd/autogpt_server/migrations/20240724150133_node_input_unique_constraint/migration.sql
new file mode 100644
index 0000000000..89e1567c29
--- /dev/null
+++ b/rnd/autogpt_server/migrations/20240724150133_node_input_unique_constraint/migration.sql
@@ -0,0 +1,8 @@
+/*
+ Warnings:
+
+ - A unique constraint covering the columns `[referencedByInputExecId,referencedByOutputExecId,name]` on the table `AgentNodeExecutionInputOutput` will be added. If there are existing duplicate values, this will fail.
+
+*/
+-- CreateIndex
+CREATE UNIQUE INDEX "AgentNodeExecutionInputOutput_referencedByInputExecId_referencedByOutputExecId_name_key" ON "AgentNodeExecutionInputOutput"("referencedByInputExecId", "referencedByOutputExecId", "name");
diff --git a/rnd/autogpt_server/migrations/migration_lock.toml b/rnd/autogpt_server/migrations/migration_lock.toml
index 6fcf33dafb..e5e5c4705a 100644
--- a/rnd/autogpt_server/migrations/migration_lock.toml
+++ b/rnd/autogpt_server/migrations/migration_lock.toml
@@ -1,3 +1,3 @@
# Please do not edit this file manually
# It should be added in your version-control system (i.e. Git)
-provider = "sqlite"
+provider = "sqlite"
\ No newline at end of file
diff --git a/rnd/autogpt_server/poetry.lock b/rnd/autogpt_server/poetry.lock
index 79dbba5480..92818096b0 100644
--- a/rnd/autogpt_server/poetry.lock
+++ b/rnd/autogpt_server/poetry.lock
@@ -25,7 +25,7 @@ requests = "*"
sentry-sdk = "^1.40.4"
[package.extras]
-benchmark = ["agbenchmark @ file:///workspaces/AutoGPT/benchmark"]
+benchmark = ["agbenchmark"]
[package.source]
type = "directory"
@@ -329,7 +329,7 @@ watchdog = "4.0.0"
webdriver-manager = "^4.0.1"
[package.extras]
-benchmark = ["agbenchmark @ file:///workspaces/AutoGPT/benchmark"]
+benchmark = ["agbenchmark"]
[package.source]
type = "directory"
@@ -1179,6 +1179,20 @@ files = [
[package.extras]
test = ["pytest (>=6)"]
+[[package]]
+name = "expiringdict"
+version = "1.2.2"
+description = "Dictionary with auto-expiring values for caching purposes"
+optional = false
+python-versions = "*"
+files = [
+ {file = "expiringdict-1.2.2-py3-none-any.whl", hash = "sha256:09a5d20bc361163e6432a874edd3179676e935eb81b925eccef48d409a8a45e8"},
+ {file = "expiringdict-1.2.2.tar.gz", hash = "sha256:300fb92a7e98f15b05cf9a856c1415b3bc4f2e132be07daa326da6414c23ee09"},
+]
+
+[package.extras]
+tests = ["coverage", "coveralls", "dill", "mock", "nose"]
+
[[package]]
name = "fastapi"
version = "0.109.2"
@@ -6348,4 +6362,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
-content-hash = "422edccf59dc5cdcc1cb0f6991228b2f58ef807a934d1aeda9643fa0cad27780"
+content-hash = "9013ff78344cb68878809bd7220453879c32c9291e39d99321dbcc9a7359855c"
diff --git a/rnd/autogpt_server/postgres/migrations/20240726131311_node_input_unique_constraint/migration.sql b/rnd/autogpt_server/postgres/migrations/20240726131311_node_input_unique_constraint/migration.sql
new file mode 100644
index 0000000000..284457cd52
--- /dev/null
+++ b/rnd/autogpt_server/postgres/migrations/20240726131311_node_input_unique_constraint/migration.sql
@@ -0,0 +1,8 @@
+/*
+ Warnings:
+
+ - A unique constraint covering the columns `[referencedByInputExecId,referencedByOutputExecId,name]` on the table `AgentNodeExecutionInputOutput` will be added. If there are existing duplicate values, this will fail.
+
+*/
+-- CreateIndex
+CREATE UNIQUE INDEX "AgentNodeExecutionInputOutput_referencedByInputExecId_refer_key" ON "AgentNodeExecutionInputOutput"("referencedByInputExecId", "referencedByOutputExecId", "name");
diff --git a/rnd/autogpt_server/postgres/schema.prisma b/rnd/autogpt_server/postgres/schema.prisma
index 1aabe7bbfb..d87055b024 100644
--- a/rnd/autogpt_server/postgres/schema.prisma
+++ b/rnd/autogpt_server/postgres/schema.prisma
@@ -127,6 +127,9 @@ model AgentNodeExecutionInputOutput {
ReferencedByInputExec AgentNodeExecution? @relation("AgentNodeExecutionInput", fields: [referencedByInputExecId], references: [id])
referencedByOutputExecId String?
ReferencedByOutputExec AgentNodeExecution? @relation("AgentNodeExecutionOutput", fields: [referencedByOutputExecId], references: [id])
+
+ // Input and Output pin names are unique for each AgentNodeExecution.
+ @@unique([referencedByInputExecId, referencedByOutputExecId, name])
}
// This model describes the recurring execution schedule of an Agent.
@@ -145,4 +148,4 @@ model AgentGraphExecutionSchedule {
lastUpdated DateTime @updatedAt
@@index([isEnabled])
-}
+}
\ No newline at end of file
diff --git a/rnd/autogpt_server/pyproject.toml b/rnd/autogpt_server/pyproject.toml
index 63f98d012b..26f6f22cff 100644
--- a/rnd/autogpt_server/pyproject.toml
+++ b/rnd/autogpt_server/pyproject.toml
@@ -38,6 +38,7 @@ youtube-transcript-api = "^0.6.2"
ollama = "^0.3.0"
feedparser = "^6.0.11"
python-dotenv = "^1.0.1"
+expiringdict = "^1.2.2"
[tool.poetry.group.dev.dependencies]
cx-freeze = { git = "https://github.com/ntindle/cx_Freeze.git", rev = "main", develop = true }
diff --git a/rnd/autogpt_server/schema.prisma b/rnd/autogpt_server/schema.prisma
index 8020e44de1..a3d9643b7c 100644
--- a/rnd/autogpt_server/schema.prisma
+++ b/rnd/autogpt_server/schema.prisma
@@ -127,6 +127,9 @@ model AgentNodeExecutionInputOutput {
ReferencedByInputExec AgentNodeExecution? @relation("AgentNodeExecutionInput", fields: [referencedByInputExecId], references: [id])
referencedByOutputExecId String?
ReferencedByOutputExec AgentNodeExecution? @relation("AgentNodeExecutionOutput", fields: [referencedByOutputExecId], references: [id])
+
+ // Input and Output pin names are unique for each AgentNodeExecution.
+ @@unique([referencedByInputExecId, referencedByOutputExecId, name])
}
// This model describes the recurring execution schedule of an Agent.
diff --git a/rnd/autogpt_server/test/executor/test_manager.py b/rnd/autogpt_server/test/executor/test_manager.py
index 42be39bae8..890aa2c144 100644
--- a/rnd/autogpt_server/test/executor/test_manager.py
+++ b/rnd/autogpt_server/test/executor/test_manager.py
@@ -37,7 +37,7 @@ async def assert_sample_graph_executions(test_graph: graph.Graph, graph_exec_id:
assert exec.graph_exec_id == graph_exec_id
assert exec.output_data == {"output": ["Hello, World!"]}
assert exec.input_data == {"input": text}
- assert exec.node_id == test_graph.nodes[0].id
+ assert exec.node_id in [test_graph.nodes[0].id, test_graph.nodes[1].id]
# Executing ConstantBlock2
exec = executions[1]
@@ -45,7 +45,7 @@ async def assert_sample_graph_executions(test_graph: graph.Graph, graph_exec_id:
assert exec.graph_exec_id == graph_exec_id
assert exec.output_data == {"output": ["Hello, World!"]}
assert exec.input_data == {"input": text}
- assert exec.node_id == test_graph.nodes[1].id
+ assert exec.node_id in [test_graph.nodes[0].id, test_graph.nodes[1].id]
# Executing TextFormatterBlock
exec = executions[2]
diff --git a/rnd/market/.env.example b/rnd/market/.env.example
new file mode 100644
index 0000000000..3d982c3e5c
--- /dev/null
+++ b/rnd/market/.env.example
@@ -0,0 +1,7 @@
+RUN_ENV=local
+DB_USER=marketplace
+DB_PASS=pass123
+DB_NAME=marketplace
+DB_PORT=5432
+DATABASE_URL=postgresql://${DB_USER}:${DB_PASS}@localhost:${DB_PORT}/${DB_NAME}
+SENTRY_DSN=https://sentry.io
\ No newline at end of file
diff --git a/rnd/market/.gitignore b/rnd/market/.gitignore
new file mode 100644
index 0000000000..7fd0341ba0
--- /dev/null
+++ b/rnd/market/.gitignore
@@ -0,0 +1,6 @@
+database.db
+database.db-journal
+build/
+config.json
+secrets/*
+!secrets/.gitkeep
\ No newline at end of file
diff --git a/rnd/market/README.md b/rnd/market/README.md
new file mode 100644
index 0000000000..8b9bff449d
--- /dev/null
+++ b/rnd/market/README.md
@@ -0,0 +1,14 @@
+# AutoGPT Agent Marketplace
+
+## Overview
+AutoGPT Agent Marketplace is an open-source platform for autonomous AI agents. This project aims to create a user-friendly, accessible marketplace where users can discover, utilize, and contribute to a diverse ecosystem of AI solutions.
+
+## Vision
+Our vision is to empower users with customizable and free AI agents, fostering an open-source community that drives innovation in AI automation across various industries.
+
+# Key Features
+
+- Agent Discovery and Search
+- Agent Listings with Detailed Information
+- User Profiles
+- Data Protection and Compliance
\ No newline at end of file
diff --git a/rnd/market/docker-compose.yml b/rnd/market/docker-compose.yml
new file mode 100644
index 0000000000..3eaa408927
--- /dev/null
+++ b/rnd/market/docker-compose.yml
@@ -0,0 +1,16 @@
+version: "3"
+services:
+ postgres:
+ image: ankane/pgvector:latest
+ environment:
+ POSTGRES_USER: ${DB_USER}
+ POSTGRES_PASSWORD: ${DB_PASS}
+ POSTGRES_DB: ${DB_NAME}
+ PGUSER: ${DB_USER}
+ healthcheck:
+ test: pg_isready -U $$POSTGRES_USER -d $$POSTGRES_DB
+ interval: 10s
+ timeout: 5s
+ retries: 5
+ ports:
+ - "${DB_PORT}:5432"
diff --git a/rnd/market/linter.py b/rnd/market/linter.py
new file mode 100644
index 0000000000..83c574b034
--- /dev/null
+++ b/rnd/market/linter.py
@@ -0,0 +1,27 @@
+import os
+import subprocess
+
+directory = os.path.dirname(os.path.realpath(__file__))
+
+
+def run(*command: str) -> None:
+ print(f">>>>> Running poetry run {' '.join(command)}")
+ subprocess.run(["poetry", "run"] + list(command), cwd=directory, check=True)
+
+
+def lint():
+ try:
+ run("ruff", "check", ".", "--exit-zero")
+ run("isort", "--diff", "--check", "--profile", "black", ".")
+ run("black", "--diff", "--check", ".")
+ run("pyright")
+ except subprocess.CalledProcessError as e:
+ print("Lint failed, try running `poetry run format` to fix the issues: ", e)
+ raise e
+
+
+def format():
+ run("ruff", "check", "--fix", ".")
+ run("isort", "--profile", "black", ".")
+ run("black", ".")
+ run("pyright", ".")
diff --git a/rnd/market/market/__init__.py b/rnd/market/market/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/rnd/market/market/app.py b/rnd/market/market/app.py
new file mode 100644
index 0000000000..48209f505f
--- /dev/null
+++ b/rnd/market/market/app.py
@@ -0,0 +1,60 @@
+
+from contextlib import asynccontextmanager
+import os
+from dotenv import load_dotenv
+from fastapi import FastAPI
+from fastapi.middleware.gzip import GZipMiddleware
+from prisma import Prisma
+import sentry_sdk
+from sentry_sdk.integrations.asyncio import AsyncioIntegration
+from sentry_sdk.integrations.fastapi import FastApiIntegration
+from sentry_sdk.integrations.starlette import StarletteIntegration
+
+from market.routes import agents
+
+load_dotenv()
+
+if os.environ.get("SENTRY_DSN"):
+ sentry_sdk.init(
+ dsn=os.environ.get("SENTRY_DSN"),
+ # Set traces_sample_rate to 1.0 to capture 100%
+ # of transactions for performance monitoring.
+ traces_sample_rate=1.0,
+ # Set profiles_sample_rate to 1.0 to profile 100%
+ # of sampled transactions.
+ # We recommend adjusting this value in production.
+ profiles_sample_rate=1.0,
+ enable_tracing=True,
+ environment=os.environ.get("RUN_ENV", default="CLOUD").lower(),
+ integrations=[
+ StarletteIntegration(transaction_style="url"),
+ FastApiIntegration(transaction_style="url"),
+ AsyncioIntegration(),
+ ],
+ )
+
+db_client = Prisma(auto_register=True)
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+ await db_client.connect()
+ yield
+ await db_client.disconnect()
+
+
+app = FastAPI(
+ title="Marketplace API",
+ description=(
+ "AutoGPT Marketplace API is a service that allows users to share AI agents."
+ ),
+ summary="Maketplace API",
+ version="0.1",
+ lifespan=lifespan,
+)
+
+# Add gzip middleware to compress responses
+app.add_middleware(GZipMiddleware, minimum_size=1000)
+
+
+app.include_router(agents.router, prefix="/market/agents", tags=["agents"])
diff --git a/rnd/market/market/routes/agents.py b/rnd/market/market/routes/agents.py
new file mode 100644
index 0000000000..af9233c561
--- /dev/null
+++ b/rnd/market/market/routes/agents.py
@@ -0,0 +1,3 @@
+from fastapi import APIRouter
+
+router = APIRouter()
diff --git a/rnd/market/poetry.lock b/rnd/market/poetry.lock
new file mode 100644
index 0000000000..20089dfe0e
--- /dev/null
+++ b/rnd/market/poetry.lock
@@ -0,0 +1,1491 @@
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+]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.10"
+content-hash = "8f44ca82bd8d4a16c3f644cff2421d14f5aa6a36da0ba683b7ac9e883b4212b5"
diff --git a/rnd/market/pyproject.toml b/rnd/market/pyproject.toml
new file mode 100644
index 0000000000..ad00cfecea
--- /dev/null
+++ b/rnd/market/pyproject.toml
@@ -0,0 +1,45 @@
+[tool.poetry]
+name = "market"
+version = "0.1.0"
+description = ""
+authors = ["SwiftyOS "]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.10"
+prisma = "^0.12.0"
+python-dotenv = "^1.0.1"
+uvicorn = "^0.30.3"
+fastapi = "^0.111.1"
+sentry-sdk = {extras = ["fastapi"], version = "^2.11.0"}
+
+[tool.poetry.group.dev.dependencies]
+pytest = "^8.2.1"
+pytest-asyncio = "^0.23.7"
+
+pytest-watcher = "^0.4.2"
+requests = "^2.32.3"
+ruff = "^0.5.2"
+pyright = "^1.1.371"
+isort = "^5.13.2"
+black = "^24.4.2"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.scripts]
+format = "linter:format"
+lint = "linter:lint"
+
+[tool.pytest-watcher]
+now = false
+clear = true
+delay = 0.2
+runner = "pytest"
+runner_args = []
+patterns = ["*.py"]
+ignore_patterns = []
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
diff --git a/rnd/market/schema.prisma b/rnd/market/schema.prisma
new file mode 100644
index 0000000000..e1c71cc4b2
--- /dev/null
+++ b/rnd/market/schema.prisma
@@ -0,0 +1,78 @@
+datasource db {
+ provider = "postgresql"
+ url = env("DATABASE_URL")
+}
+
+generator client {
+ provider = "prisma-client-py"
+ recursive_type_depth = 5
+ interface = "asyncio"
+}
+
+// This model describes the Agent Graph/Flow (Multi Agent System).
+model AgentGraph {
+ id String @default(uuid())
+ version Int @default(1)
+
+ name String?
+ description String?
+ isActive Boolean @default(true)
+ isTemplate Boolean @default(false)
+
+ AgentNodes AgentNode[]
+
+ @@id(name: "graphVersionId", [id, version])
+}
+
+// This model describes a single node in the Agent Graph/Flow (Multi Agent System).
+model AgentNode {
+ id String @id @default(uuid())
+
+ agentBlockId String
+ AgentBlock AgentBlock @relation(fields: [agentBlockId], references: [id])
+
+ agentGraphId String
+ agentGraphVersion Int @default(1)
+ AgentGraph AgentGraph @relation(fields: [agentGraphId, agentGraphVersion], references: [id, version])
+
+ // List of consumed input, that the parent node should provide.
+ Input AgentNodeLink[] @relation("AgentNodeSink")
+
+ // List of produced output, that the child node should be executed.
+ Output AgentNodeLink[] @relation("AgentNodeSource")
+
+ // JSON serialized dict[str, str] containing predefined input values.
+ constantInput String @default("{}")
+
+ // JSON serialized dict[str, str] containing the node metadata.
+ metadata String @default("{}")
+}
+
+// This model describes the link between two AgentNodes.
+model AgentNodeLink {
+ id String @id @default(uuid())
+
+ // Output of a node is connected to the source of the link.
+ agentNodeSourceId String
+ AgentNodeSource AgentNode @relation("AgentNodeSource", fields: [agentNodeSourceId], references: [id])
+ sourceName String
+
+ // Input of a node is connected to the sink of the link.
+ agentNodeSinkId String
+ AgentNodeSink AgentNode @relation("AgentNodeSink", fields: [agentNodeSinkId], references: [id])
+ sinkName String
+}
+
+// This model describes a component that will be executed by the AgentNode.
+model AgentBlock {
+ id String @id @default(uuid())
+ name String @unique
+
+ // We allow a block to have multiple types of input & output.
+ // Serialized object-typed `jsonschema` with top-level properties as input/output name.
+ inputSchema String
+ outputSchema String
+
+ // Prisma requires explicit back-references.
+ ReferencedByAgentNode AgentNode[]
+}