From 36b9a0a9305c838a73d74fc64988b07ab5581c30 Mon Sep 17 00:00:00 2001
From: Toran Bruce Richards <toran.richards@gmail.com>
Date: Thu, 25 Jul 2024 20:25:07 +0100
Subject: [PATCH 01/11] feat(Blocks): Add conditional logic block (#7536)

Co-authored-by: Nicholas Tindle <nicholas.tindle@agpt.co>
---
 .../autogpt_server/blocks/if_block.py         | 101 ++++++++++++++++++
 1 file changed, 101 insertions(+)
 create mode 100644 rnd/autogpt_server/autogpt_server/blocks/if_block.py

diff --git a/rnd/autogpt_server/autogpt_server/blocks/if_block.py b/rnd/autogpt_server/autogpt_server/blocks/if_block.py
new file mode 100644
index 0000000000..c28f2631f2
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/blocks/if_block.py
@@ -0,0 +1,101 @@
+from enum import Enum
+from typing import Any
+
+from autogpt_server.data.block import Block, BlockOutput, BlockSchema
+from autogpt_server.data.model import SchemaField
+
+
+class ComparisonOperator(Enum):
+    EQUAL = "=="
+    NOT_EQUAL = "!="
+    GREATER_THAN = ">"
+    LESS_THAN = "<"
+    GREATER_THAN_OR_EQUAL = ">="
+    LESS_THAN_OR_EQUAL = "<="
+
+
+class ConditionBlock(Block):
+    class Input(BlockSchema):
+        value1: Any = SchemaField(
+            description="Enter the first value for comparison",
+            placeholder="For example: 10 or 'hello' or True",
+        )
+        operator: ComparisonOperator = SchemaField(
+            description="Choose the comparison operator",
+            placeholder="Select an operator",
+        )
+        value2: Any = SchemaField(
+            description="Enter the second value for comparison",
+            placeholder="For example: 20 or 'world' or False",
+        )
+        yes_value: Any = SchemaField(
+            description="(Optional) Value to output if the condition is true. If not provided, value1 will be used.",
+            placeholder="Leave empty to use value1, or enter a specific value",
+            default=None,
+        )
+        no_value: Any = SchemaField(
+            description="(Optional) Value to output if the condition is false. If not provided, value1 will be used.",
+            placeholder="Leave empty to use value1, or enter a specific value",
+            default=None,
+        )
+
+    class Output(BlockSchema):
+        result: bool = SchemaField(
+            description="The result of the condition evaluation (True or False)"
+        )
+        yes_output: Any = SchemaField(
+            description="The output value if the condition is true"
+        )
+        no_output: Any = SchemaField(
+            description="The output value if the condition is false"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="715696a0-e1da-45c8-b209-c2fa9c3b0be6",
+            input_schema=ConditionBlock.Input,
+            output_schema=ConditionBlock.Output,
+            description="Handles conditional logic based on comparison operators",
+            test_input={
+                "value1": 10,
+                "operator": ComparisonOperator.GREATER_THAN.value,
+                "value2": 5,
+                "yes_value": "Greater",
+                "no_value": "Not greater",
+            },
+            test_output=[
+                ("result", True),
+                ("yes_output", "Greater"),
+            ],
+        )
+
+    def run(self, input_data: Input) -> BlockOutput:
+        value1 = input_data.value1
+        operator = input_data.operator
+        value2 = input_data.value2
+        yes_value = input_data.yes_value if input_data.yes_value is not None else value1
+        no_value = input_data.no_value if input_data.no_value is not None else value1
+
+        comparison_funcs = {
+            ComparisonOperator.EQUAL: lambda a, b: a == b,
+            ComparisonOperator.NOT_EQUAL: lambda a, b: a != b,
+            ComparisonOperator.GREATER_THAN: lambda a, b: a > b,
+            ComparisonOperator.LESS_THAN: lambda a, b: a < b,
+            ComparisonOperator.GREATER_THAN_OR_EQUAL: lambda a, b: a >= b,
+            ComparisonOperator.LESS_THAN_OR_EQUAL: lambda a, b: a <= b,
+        }
+
+        try:
+            result = comparison_funcs[operator](value1, value2)
+
+            yield "result", result
+
+            if result:
+                yield "yes_output", yes_value
+            else:
+                yield "no_output", no_value
+
+        except Exception:
+            yield "result", None
+            yield "yes_output", None
+            yield "no_output", None

From d2a5bb286f615f00f47a1d497b7296c3de4d3e83 Mon Sep 17 00:00:00 2001
From: Zamil Majdy <zamil.majdy@agpt.co>
Date: Fri, 26 Jul 2024 14:08:03 +0400
Subject: [PATCH 02/11] feat(rnd): Fix concurrency issue on Agent Server &
 Apply max-1-execution-per-node constraint in graph execution (#7551)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### Background

When multiple executors are executing the same node within the same graph execution, two node executions can read the same queue of input and read the same value—making the data that is supposed to be consumed once, consumed by two executions. The lack of lock & concurrency support for parallel execution within a single graph causes this issue.

Node concurrency also introduces poor UX in the current frontend implementation, when two nodes are executed in parallel, the current UI will not display its parallel execution update, but instead, it shows the updates that override each other. Until the execution observability is improved on the builder UI, this capability will be limited.

### Changes 🏗️

The scope of this change is to solve this issue by:
* Decouple Graph execution & Node execution, each has its own configured process pool.
* Make sure there is only 1 execution per node (we still allow parallel executions on different nodes) in a graph.
* Fixed concurrency issue by adding distributed lock API on agent_server.
* Few cleanups:
    - Add more logging with geid & neid prefix on graph/node executions
    - Moved execution status update to agent-server for a single source of status update (required by conn-manager/web-socket)
    - Configured node parallelism to 10 & graph parallelism to 10 by default, so in the very rare worst-case, there can be 100 node executions.
    - Re-use server resource for each integration test run
---
 rnd/autogpt_server/autogpt_server/app.py      |   3 +-
 .../autogpt_server/data/execution.py          |  60 +++--
 .../autogpt_server/executor/manager.py        | 207 ++++++++++++------
 .../autogpt_server/server/server.py           |  47 +++-
 .../autogpt_server/util/lock.py               |  32 +++
 .../autogpt_server/util/settings.py           |  13 +-
 .../autogpt_server/util/test.py               |   2 +-
 rnd/autogpt_server/config.default.json        |   5 +-
 .../migration.sql                             |   8 +
 .../migrations/migration_lock.toml            |   2 +-
 rnd/autogpt_server/poetry.lock                |  20 +-
 rnd/autogpt_server/pyproject.toml             |   1 +
 rnd/autogpt_server/schema.prisma              |   3 +
 .../test/executor/test_manager.py             |   4 +-
 14 files changed, 287 insertions(+), 120 deletions(-)
 create mode 100644 rnd/autogpt_server/autogpt_server/util/lock.py
 create mode 100644 rnd/autogpt_server/migrations/20240724150133_node_input_unique_constraint/migration.sql

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..50334fb9fe 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:
@@ -8,33 +9,34 @@ 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,
     upsert_execution_input,
     upsert_execution_output,
 )
 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 +60,7 @@ 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()
-        )
+        api_client.update_execution_status(node_exec_id, status)
 
     node = wait(get_node(node_id))
     if not node:
@@ -89,7 +89,7 @@ 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 +107,30 @@ 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()
-        )
+        api_client.update_execution_status(node_exec_id, status)
 
-    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 +144,21 @@ 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 +167,7 @@ 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 +177,7 @@ 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 +238,118 @@ 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 +376,25 @@ 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,
-                }
+            self.agent_server_client.update_execution_status(
+                node_exec.node_exec_id, ExecutionStatus.QUEUED
             )
 
-        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 3d35af8812..e53ed7dbc8 100644
--- a/rnd/autogpt_server/autogpt_server/server/server.py
+++ b/rnd/autogpt_server/autogpt_server/server/server.py
@@ -18,9 +18,16 @@ 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,
+    ExecutionStatus,
+    get_execution_results,
+    list_executions,
+    update_execution_status,
+)
 from autogpt_server.executor import ExecutionManager, ExecutionScheduler
 from autogpt_server.server.conn_manager import ConnectionManager
 from autogpt_server.server.model import (
@@ -30,17 +37,19 @@ 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
@@ -552,17 +561,17 @@ 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]
@@ -590,15 +599,33 @@ class AgentServer(AppService):
         return execution_scheduler.get_execution_schedules(graph_id)  # type: ignore
 
     @expose
-    def send_execution_update(self, execution_result_dict: dict[Any, Any]):
-        execution_result = execution.ExecutionResult(**execution_result_dict)
-        self.run_and_wait(self.event_queue.put(execution_result))
+    def update_execution_status(self, exec_id: str, status: ExecutionStatus):
+        exec_result = self.run_and_wait(update_execution_status(exec_id, status))
+        self.run_and_wait(self.event_queue.put(exec_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/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/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]

From b2dba3981075fb1da5b6c853b52a250a77a8aa83 Mon Sep 17 00:00:00 2001
From: Reinier van der Leer <pwuts@agpt.co>
Date: Fri, 26 Jul 2024 13:26:11 +0200
Subject: [PATCH 03/11] fix(builder/api-client): Fix websocket client types
 (#7603)

- Fix type signatures of `sendWebSocketMessage(..)`, `onWebSocketMessage(..)`, `runGraph(..)` in `autogpt-server-api/client`
  - Add `WebsocketMessageTypeMap`

- Fix type signature of `updateNodesWithExecutionData` in `FlowEditor`
---
 rnd/autogpt_builder/src/components/Flow.tsx      |  4 ++--
 .../src/lib/autogpt-server-api/client.ts         | 16 +++++++++++++---
 2 files changed, 15 insertions(+), 5 deletions(-)

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<M extends keyof WebsocketMessageTypeMap>(
+    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<M extends keyof WebsocketMessageTypeMap>(
+    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;
+}

From da2111bafb17fb0eca96c49e177f5b86d0728336 Mon Sep 17 00:00:00 2001
From: Aarushi <50577581+aarushik93@users.noreply.github.com>
Date: Fri, 26 Jul 2024 14:38:05 +0100
Subject: [PATCH 04/11] fix(server): Add missing PG migrations (#7619)

missing migrations
---
 .../migration.sql                                         | 8 ++++++++
 rnd/autogpt_server/postgres/schema.prisma                 | 5 ++++-
 2 files changed, 12 insertions(+), 1 deletion(-)
 create mode 100644 rnd/autogpt_server/postgres/migrations/20240726131311_node_input_unique_constraint/migration.sql

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

From dfa855f5332133817a4e9d9cced01dd1e5507f57 Mon Sep 17 00:00:00 2001
From: Zamil Majdy <zamil.majdy@agpt.co>
Date: Fri, 26 Jul 2024 18:47:41 +0400
Subject: [PATCH 05/11] fix(rnd): Fix broken server execution update due to
 split prisma connection to different loops (#7620)

---
 .../autogpt_server/executor/manager.py               | 12 ++++++++----
 rnd/autogpt_server/autogpt_server/server/server.py   |  8 +++-----
 rnd/autogpt_server/autogpt_server/util/service.py    |  5 ++---
 3 files changed, 13 insertions(+), 12 deletions(-)

diff --git a/rnd/autogpt_server/autogpt_server/executor/manager.py b/rnd/autogpt_server/autogpt_server/executor/manager.py
index 50334fb9fe..630ad88877 100644
--- a/rnd/autogpt_server/autogpt_server/executor/manager.py
+++ b/rnd/autogpt_server/autogpt_server/executor/manager.py
@@ -17,6 +17,7 @@ from autogpt_server.data.execution import (
     create_graph_execution,
     merge_execution_input,
     parse_execution_output,
+    update_execution_status,
     upsert_execution_input,
     upsert_execution_output,
 )
@@ -60,7 +61,8 @@ def execute_node(
         return loop.run_until_complete(f)
 
     def update_execution(status: ExecutionStatus):
-        api_client.update_execution_status(node_exec_id, status)
+        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:
@@ -128,7 +130,8 @@ def _enqueue_next_nodes(
         return loop.run_until_complete(f)
 
     def execution_update(node_exec_id: str, status: ExecutionStatus):
-        api_client.update_execution_status(node_exec_id, status)
+        exec_update = wait(update_execution_status(node_exec_id, status))
+        api_client.send_execution_update(exec_update.model_dump())
 
     def register_next_execution(node_link: Link) -> NodeExecution | None:
         next_output_name = node_link.source_name
@@ -387,9 +390,10 @@ class ExecutionManager(AppService):
                     data=node_exec.input_data,
                 )
             )
-            self.agent_server_client.update_execution_status(
-                node_exec.node_exec_id, ExecutionStatus.QUEUED
+            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())
 
         graph_exec = GraphExecution(
             graph_exec_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 e53ed7dbc8..016a8f144d 100644
--- a/rnd/autogpt_server/autogpt_server/server/server.py
+++ b/rnd/autogpt_server/autogpt_server/server/server.py
@@ -23,10 +23,8 @@ from autogpt_server.data import graph as graph_db
 from autogpt_server.data.block import BlockInput, CompletedBlockOutput
 from autogpt_server.data.execution import (
     ExecutionResult,
-    ExecutionStatus,
     get_execution_results,
     list_executions,
-    update_execution_status,
 )
 from autogpt_server.executor import ExecutionManager, ExecutionScheduler
 from autogpt_server.server.conn_manager import ConnectionManager
@@ -599,9 +597,9 @@ class AgentServer(AppService):
         return execution_scheduler.get_execution_schedules(graph_id)  # type: ignore
 
     @expose
-    def update_execution_status(self, exec_id: str, status: ExecutionStatus):
-        exec_result = self.run_and_wait(update_execution_status(exec_id, status))
-        self.run_and_wait(self.event_queue.put(exec_result))
+    def send_execution_update(self, execution_result_dict: dict[Any, Any]):
+        execution_result = ExecutionResult(**execution_result_dict)
+        self.run_and_wait(self.event_queue.put(execution_result))
 
     @expose
     def acquire_lock(self, key: Any):
diff --git a/rnd/autogpt_server/autogpt_server/util/service.py b/rnd/autogpt_server/autogpt_server/util/service.py
index ff55135a6a..5719a8e542 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()
 
 

From b62c24dc77ba1aedd525d657424eb4ed0387b82f Mon Sep 17 00:00:00 2001
From: Swifty <craigswift13@gmail.com>
Date: Fri, 26 Jul 2024 17:11:26 +0200
Subject: [PATCH 06/11] Add Marketplace template (#7605)

* init

* Added sentry.io integration

* updated readme
---
 rnd/market/.env.example            |    7 +
 rnd/market/.gitignore              |    6 +
 rnd/market/README.md               |   14 +
 rnd/market/docker-compose.yml      |   16 +
 rnd/market/linter.py               |   27 +
 rnd/market/market/__init__.py      |    0
 rnd/market/market/app.py           |   60 ++
 rnd/market/market/routes/agents.py |    3 +
 rnd/market/poetry.lock             | 1491 ++++++++++++++++++++++++++++
 rnd/market/pyproject.toml          |   45 +
 rnd/market/schema.prisma           |   78 ++
 11 files changed, 1747 insertions(+)
 create mode 100644 rnd/market/.env.example
 create mode 100644 rnd/market/.gitignore
 create mode 100644 rnd/market/README.md
 create mode 100644 rnd/market/docker-compose.yml
 create mode 100644 rnd/market/linter.py
 create mode 100644 rnd/market/market/__init__.py
 create mode 100644 rnd/market/market/app.py
 create mode 100644 rnd/market/market/routes/agents.py
 create mode 100644 rnd/market/poetry.lock
 create mode 100644 rnd/market/pyproject.toml
 create mode 100644 rnd/market/schema.prisma

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 @@
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
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+]
+
+[[package]]
+name = "anyio"
+version = "4.4.0"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
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+idna = ">=2.8"
+sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
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+[package.extras]
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+trio = ["trio (>=0.23)"]
+
+[[package]]
+name = "black"
+version = "24.4.2"
+description = "The uncompromising code formatter."
+optional = false
+python-versions = ">=3.8"
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+
+[[package]]
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+description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
+optional = false
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+    {file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"},
+]
+
+[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 <craigswift13@gmail.com>"]
+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[]
+}

From bcfb2d4cdd231cf886a128537e75698aa9908751 Mon Sep 17 00:00:00 2001
From: Aarushi <aarushik93@gmail.com>
Date: Thu, 25 Jul 2024 22:22:40 +0100
Subject: [PATCH 07/11] delay and timeouts for probes

---
 .../autogpt_server/util/service.py            |  6 +--
 rnd/infra/helm/autogpt-server/Chart.yaml      |  2 +-
 .../helm/autogpt-server/templates/NOTES.txt   |  8 ++--
 .../autogpt-server/templates/service.yaml     |  4 ++
 rnd/infra/helm/autogpt-server/values.dev.yaml | 39 +++++++++++++++----
 rnd/infra/helm/autogpt-server/values.yaml     | 13 ++++++-
 rnd/infra/terraform/environments/dev.tfvars   |  9 +++++
 rnd/infra/terraform/main.tf                   | 12 +++---
 .../terraform/modules/gke_cluster/main.tf     |  5 +++
 .../terraform/modules/networking/main.tf      | 10 +++++
 .../terraform/modules/networking/variables.tf |  8 ++++
 rnd/infra/terraform/modules/static_ip/main.tf |  3 +-
 .../terraform/modules/static_ip/outputs.tf    |  4 +-
 rnd/infra/terraform/variables.tf              | 12 ++++++
 14 files changed, 109 insertions(+), 26 deletions(-)

diff --git a/rnd/autogpt_server/autogpt_server/util/service.py b/rnd/autogpt_server/autogpt_server/util/service.py
index ff55135a6a..83da51e2dd 100644
--- a/rnd/autogpt_server/autogpt_server/util/service.py
+++ b/rnd/autogpt_server/autogpt_server/util/service.py
@@ -33,7 +33,7 @@ class PyroNameServer(AppProcess):
     def run(self):
         try:
             print("Starting NameServer loop")
-            nameserver.start_ns_loop()
+            nameserver.start_ns_loop(host="0.0.0.0", port=9090)
         except KeyboardInterrupt:
             print("Shutting down NameServer")
 
@@ -77,8 +77,8 @@ class AppService(AppProcess):
 
     @conn_retry
     def __start_pyro(self):
-        daemon = pyro.Daemon()
-        ns = pyro.locate_ns()
+        daemon = pyro.Daemon(host="0.0.0.0")
+        ns = pyro.locate_ns(host="0.0.0.0", port=9090)
         uri = daemon.register(self)
         ns.register(self.service_name, uri)
         logger.warning(f"Service [{self.service_name}] Ready. Object URI = {uri}")
diff --git a/rnd/infra/helm/autogpt-server/Chart.yaml b/rnd/infra/helm/autogpt-server/Chart.yaml
index 57ccbd6efe..5dd24327d4 100644
--- a/rnd/infra/helm/autogpt-server/Chart.yaml
+++ b/rnd/infra/helm/autogpt-server/Chart.yaml
@@ -7,4 +7,4 @@ type: application
 
 version: 0.1.0
 
-appVersion: "1.16.0"
+appVersion: "1.0.0"
diff --git a/rnd/infra/helm/autogpt-server/templates/NOTES.txt b/rnd/infra/helm/autogpt-server/templates/NOTES.txt
index 01105181f4..2b660011ad 100644
--- a/rnd/infra/helm/autogpt-server/templates/NOTES.txt
+++ b/rnd/infra/helm/autogpt-server/templates/NOTES.txt
@@ -6,16 +6,16 @@
   {{- end }}
 {{- end }}
 {{- else if contains "NodePort" .Values.service.type }}
-  export NODE_PORT=$(kubectl get --namespace {{ .Release.Namespace }} -o jsonpath="{.spec.ports[0].nodePort}" services {{ include "autogpt_server.fullname" . }})
+  export NODE_PORT=$(kubectl get --namespace {{ .Release.Namespace }} -o jsonpath="{.spec.ports[0].nodePort}" services {{ include "autogpt-server.fullname" . }})
   export NODE_IP=$(kubectl get nodes --namespace {{ .Release.Namespace }} -o jsonpath="{.items[0].status.addresses[0].address}")
   echo http://$NODE_IP:$NODE_PORT
 {{- else if contains "LoadBalancer" .Values.service.type }}
      NOTE: It may take a few minutes for the LoadBalancer IP to be available.
-           You can watch its status by running 'kubectl get --namespace {{ .Release.Namespace }} svc -w {{ include "autogpt_server.fullname" . }}'
-  export SERVICE_IP=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ include "autogpt_server.fullname" . }} --template "{{"{{ range (index .status.loadBalancer.ingress 0) }}{{.}}{{ end }}"}}")
+           You can watch its status by running 'kubectl get --namespace {{ .Release.Namespace }} svc -w {{ include "autogpt-server.fullname" . }}'
+  export SERVICE_IP=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ include "autogpt-server.fullname" . }} --template "{{"{{ range (index .status.loadBalancer.ingress 0) }}{{.}}{{ end }}"}}")
   echo http://$SERVICE_IP:{{ .Values.service.port }}
 {{- else if contains "ClusterIP" .Values.service.type }}
-  export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "app.kubernetes.io/name={{ include "autogpt_server.name" . }},app.kubernetes.io/instance={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}")
+  export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "app.kubernetes.io/name={{ include "autogpt-server.name" . }},app.kubernetes.io/instance={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}")
   export CONTAINER_PORT=$(kubectl get pod --namespace {{ .Release.Namespace }} $POD_NAME -o jsonpath="{.spec.containers[0].ports[0].containerPort}")
   echo "Visit http://127.0.0.1:8080 to use your application"
   kubectl --namespace {{ .Release.Namespace }} port-forward $POD_NAME 8080:$CONTAINER_PORT
diff --git a/rnd/infra/helm/autogpt-server/templates/service.yaml b/rnd/infra/helm/autogpt-server/templates/service.yaml
index fd2f813bc1..53d970dbc9 100644
--- a/rnd/infra/helm/autogpt-server/templates/service.yaml
+++ b/rnd/infra/helm/autogpt-server/templates/service.yaml
@@ -4,6 +4,10 @@ metadata:
   name: {{ include "autogpt-server.fullname" . }}
   labels:
     {{- include "autogpt-server.labels" . | nindent 4 }}
+  {{- with .Values.service.annotations }}
+  annotations:
+    {{- toYaml . | nindent 4 }}
+  {{- end }}
 spec:
   type: {{ .Values.service.type }}
   ports:
diff --git a/rnd/infra/helm/autogpt-server/values.dev.yaml b/rnd/infra/helm/autogpt-server/values.dev.yaml
index 72549936c0..fa78f1d658 100644
--- a/rnd/infra/helm/autogpt-server/values.dev.yaml
+++ b/rnd/infra/helm/autogpt-server/values.dev.yaml
@@ -2,7 +2,7 @@
 
 image:
   repository: us-east1-docker.pkg.dev/agpt-dev/agpt-server-dev/agpt-server-dev
-  pullPolicy: IfNotPresent
+  pullPolicy: Always
   tag: "latest"
 
 serviceAccount:
@@ -11,9 +11,11 @@ serviceAccount:
   name: "dev-agpt-server-sa"
 
 service:
-  type: LoadBalancer
-  port: 80
+  type: ClusterIP
+  port: 8000
   targetPort: 8000
+  annotations:
+    cloud.google.com/neg: '{"ingress": true}'
 
 ingress:
   enabled: true
@@ -22,12 +24,16 @@ ingress:
     kubernetes.io/ingress.class: gce
     kubernetes.io/ingress.global-static-ip-name: "agpt-dev-agpt-server-ip"
     networking.gke.io/managed-certificates: "autogpt-server-cert"
+    kubernetes.io/ingress.allow-http: "true"
   hosts:
-    - host: server.agpt.co
+    - host: dev-server.agpt.co
       paths:
-        - path: /*
-          pathType: ImplementationSpecific
-  tls: []
+        - path: /
+          pathType: Prefix
+      backend:
+        service:
+          name: autogpt-server
+          port: 8000
 
 resources:
   requests:
@@ -37,7 +43,24 @@ resources:
     cpu: 500m
     memory: 512Mi
 
-domain: "server.agpt.co"
+livenessProbe:
+  httpGet:
+    path: /docs
+    port: 8000
+  initialDelaySeconds: 30
+  periodSeconds: 10
+  timeoutSeconds: 5
+  failureThreshold: 6
+readinessProbe:
+  httpGet:
+    path: /docs
+    port: 8000
+  initialDelaySeconds: 30
+  periodSeconds: 10
+  timeoutSeconds: 5
+  failureThreshold: 6
+
+domain: "dev-server.agpt.co"
 
 cloudSqlProxy:
   image:
diff --git a/rnd/infra/helm/autogpt-server/values.yaml b/rnd/infra/helm/autogpt-server/values.yaml
index 80797575df..3bdfd8515a 100644
--- a/rnd/infra/helm/autogpt-server/values.yaml
+++ b/rnd/infra/helm/autogpt-server/values.yaml
@@ -1,6 +1,6 @@
 # base values, environment specific variables should be specified/overwritten in environment values
 
-replicaCount: 2
+replicaCount: 1
 
 image:
   repository: us-east1-docker.pkg.dev/agpt-dev/agpt-server-dev/agpt-server-dev
@@ -74,3 +74,14 @@ tolerations: []
 affinity: {}
 
 domain: ""
+
+cloudSqlProxy:
+  image:
+    repository: gcr.io/cloud-sql-connectors/cloud-sql-proxy
+    tag: 2.11.4
+  instanceConnectionName: ""
+  port: 5432
+  resources:
+    requests:
+      memory: "2Gi"
+      cpu: "1"
diff --git a/rnd/infra/terraform/environments/dev.tfvars b/rnd/infra/terraform/environments/dev.tfvars
index 7113a50d58..c66283019d 100644
--- a/rnd/infra/terraform/environments/dev.tfvars
+++ b/rnd/infra/terraform/environments/dev.tfvars
@@ -43,4 +43,13 @@ role_bindings = {
   "roles/iam.workloadIdentityUser" = [
     "serviceAccount:dev-agpt-server-sa@agpt-dev.iam.gserviceaccount.com"
   ]
+  "roles/compute.networkUser" = [
+    "serviceAccount:dev-agpt-server-sa@agpt-dev.iam.gserviceaccount.com"
+  ],
+  "roles/container.hostServiceAgentUser" = [
+    "serviceAccount:dev-agpt-server-sa@agpt-dev.iam.gserviceaccount.com"
+  ]
 }
+
+pods_ip_cidr_range     = "10.1.0.0/16"
+services_ip_cidr_range = "10.2.0.0/20"
\ No newline at end of file
diff --git a/rnd/infra/terraform/main.tf b/rnd/infra/terraform/main.tf
index 57de51eb63..495130b6a0 100644
--- a/rnd/infra/terraform/main.tf
+++ b/rnd/infra/terraform/main.tf
@@ -30,11 +30,13 @@ module "static_ips" {
 module "networking" {
   source = "./modules/networking"
 
-  project_id   = var.project_id
-  region       = var.region
-  network_name = var.network_name
-  subnet_name  = var.subnet_name
-  subnet_cidr  = var.subnet_cidr
+  project_id             = var.project_id
+  region                 = var.region
+  network_name           = var.network_name
+  subnet_name            = var.subnet_name
+  subnet_cidr            = var.subnet_cidr
+  pods_ip_cidr_range     = var.pods_ip_cidr_range
+  services_ip_cidr_range = var.services_ip_cidr_range
 }
 
 module "gke_cluster" {
diff --git a/rnd/infra/terraform/modules/gke_cluster/main.tf b/rnd/infra/terraform/modules/gke_cluster/main.tf
index d30946848e..66d1b2b76d 100644
--- a/rnd/infra/terraform/modules/gke_cluster/main.tf
+++ b/rnd/infra/terraform/modules/gke_cluster/main.tf
@@ -26,5 +26,10 @@ resource "google_container_cluster" "primary" {
 
   network    = var.network
   subnetwork = var.subnetwork
+
+  ip_allocation_policy {
+    cluster_secondary_range_name  = "pods"
+    services_secondary_range_name = "services"
+  }
 }
 
diff --git a/rnd/infra/terraform/modules/networking/main.tf b/rnd/infra/terraform/modules/networking/main.tf
index 64aac3a77d..823fd6b89e 100644
--- a/rnd/infra/terraform/modules/networking/main.tf
+++ b/rnd/infra/terraform/modules/networking/main.tf
@@ -8,5 +8,15 @@ resource "google_compute_subnetwork" "subnet" {
   ip_cidr_range = var.subnet_cidr
   region        = var.region
   network       = google_compute_network.vpc_network.self_link
+
+  secondary_ip_range {
+    range_name    = "pods"
+    ip_cidr_range = var.pods_ip_cidr_range
+  }
+
+  secondary_ip_range {
+    range_name    = "services"
+    ip_cidr_range = var.services_ip_cidr_range
+  }
 }
 
diff --git a/rnd/infra/terraform/modules/networking/variables.tf b/rnd/infra/terraform/modules/networking/variables.tf
index 3989bddff0..aa4d409f02 100644
--- a/rnd/infra/terraform/modules/networking/variables.tf
+++ b/rnd/infra/terraform/modules/networking/variables.tf
@@ -18,4 +18,12 @@ variable "subnet_cidr" {
   description = "The CIDR range for the subnet"
 }
 
+variable "pods_ip_cidr_range" {
+  description = "The IP address range for pods"
+  default     = "10.1.0.0/16"
+}
 
+variable "services_ip_cidr_range" {
+  description = "The IP address range for services"
+  default     = "10.2.0.0/20"
+}
diff --git a/rnd/infra/terraform/modules/static_ip/main.tf b/rnd/infra/terraform/modules/static_ip/main.tf
index 4b6d073541..877b4bf30e 100644
--- a/rnd/infra/terraform/modules/static_ip/main.tf
+++ b/rnd/infra/terraform/modules/static_ip/main.tf
@@ -1,6 +1,5 @@
-resource "google_compute_address" "static_ip" {
+resource "google_compute_global_address" "static_ip" {
   count        = length(var.ip_names)
   name         = "${var.project_id}-${var.ip_names[count.index]}"
-  region       = var.region
   address_type = "EXTERNAL"
 }
\ No newline at end of file
diff --git a/rnd/infra/terraform/modules/static_ip/outputs.tf b/rnd/infra/terraform/modules/static_ip/outputs.tf
index 2b03fe3623..27a9aa5804 100644
--- a/rnd/infra/terraform/modules/static_ip/outputs.tf
+++ b/rnd/infra/terraform/modules/static_ip/outputs.tf
@@ -1,9 +1,9 @@
 output "ip_addresses" {
   description = "Map of created static IP addresses"
-  value       = { for i, ip in google_compute_address.static_ip : var.ip_names[i] => ip.address }
+  value       = { for i, ip in google_compute_global_address.static_ip : var.ip_names[i] => ip.address }
 }
 
 output "ip_names" {
   description = "List of full names of the created static IP addresses"
-  value       = google_compute_address.static_ip[*].name
+  value       = google_compute_global_address.static_ip[*].name
 }
\ No newline at end of file
diff --git a/rnd/infra/terraform/variables.tf b/rnd/infra/terraform/variables.tf
index 80a0b77e7d..76da68cce5 100644
--- a/rnd/infra/terraform/variables.tf
+++ b/rnd/infra/terraform/variables.tf
@@ -99,3 +99,15 @@ variable "role_bindings" {
   type        = map(list(string))
   default     = {}
 }
+
+variable "pods_ip_cidr_range" {
+  description = "The IP address range for pods"
+  type        = string
+  default     = "10.1.0.0/16"
+}
+
+variable "services_ip_cidr_range" {
+  description = "The IP address range for services"
+  type        = string
+  default     = "10.2.0.0/20"
+}
\ No newline at end of file

From edf84fb9f8c21699ca4fff736de4bebccea28d29 Mon Sep 17 00:00:00 2001
From: Andy Hooker <58448663+andrewhooker2@users.noreply.github.com>
Date: Fri, 26 Jul 2024 17:59:44 -0500
Subject: [PATCH 08/11] feat(builder): Apply standard theming for shadCn and
 centralize providers (#7622)

---
 rnd/autogpt_builder/src/app/globals.css   | 57 +++++++++++++++
 rnd/autogpt_builder/src/app/layout.tsx    | 88 +++++++++++------------
 rnd/autogpt_builder/src/app/providers.tsx | 14 ++++
 rnd/autogpt_builder/tailwind.config.ts    | 66 ++++++++++++++---
 4 files changed, 168 insertions(+), 57 deletions(-)
 create mode 100644 rnd/autogpt_builder/src/app/providers.tsx

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 <NextThemeProvider {...props}>{children}</NextThemeProvider>
-}
-
 const NavBar = () => (
-  <nav className="bg-white dark:bg-slate-800 p-4 flex justify-between items-center shadow">
-    <div className="flex space-x-4">
-      <Link href="/monitor" className={buttonVariants({ variant: "ghost" })}>
-        <TimerIcon className="mr-1" /> Monitor
-      </Link>
-      <Link href="/build" className={buttonVariants({ variant: "ghost" })}>
-        <Pencil1Icon className="mr-1" /> Build
-      </Link>
-    </div>
-    <DropdownMenu>
-      <DropdownMenuTrigger asChild>
-        <Button variant="ghost" className="h-8 w-8 rounded-full">
-          <Avatar>
-            <AvatarImage src="https://github.com/shadcn.png" alt="@shadcn" />
-            <AvatarFallback>CN</AvatarFallback>
-          </Avatar>
-        </Button>
-      </DropdownMenuTrigger>
-      <DropdownMenuContent align="end">
-        <DropdownMenuItem>Profile</DropdownMenuItem>
-        <DropdownMenuItem>Settings</DropdownMenuItem>
-        <DropdownMenuItem>Switch Workspace</DropdownMenuItem>
-        <DropdownMenuItem>Log out</DropdownMenuItem>
-      </DropdownMenuContent>
-    </DropdownMenu>
-  </nav>
+    <nav className="bg-white dark:bg-slate-800 p-4 flex justify-between items-center shadow">
+        <div className="flex space-x-4">
+            <Link href="/monitor" className={buttonVariants({ variant: "ghost" })}>
+                <TimerIcon className="mr-1" /> Monitor
+            </Link>
+            <Link href="/build" className={buttonVariants({ variant: "ghost" })}>
+                <Pencil1Icon className="mr-1" /> Build
+            </Link>
+        </div>
+        <DropdownMenu>
+            <DropdownMenuTrigger asChild>
+                <Button variant="ghost" className="h-8 w-8 rounded-full">
+                    <Avatar>
+                        <AvatarImage src="https://github.com/shadcn.png" alt="@shadcn" />
+                        <AvatarFallback>CN</AvatarFallback>
+                    </Avatar>
+                </Button>
+            </DropdownMenuTrigger>
+            <DropdownMenuContent align="end">
+                <DropdownMenuItem>Profile</DropdownMenuItem>
+                <DropdownMenuItem>Settings</DropdownMenuItem>
+                <DropdownMenuItem>Switch Workspace</DropdownMenuItem>
+                <DropdownMenuItem>Log out</DropdownMenuItem>
+            </DropdownMenuContent>
+        </DropdownMenu>
+    </nav>
 );
-
 export default function RootLayout({
-  children,
+ children,
 }: Readonly<{
   children: React.ReactNode;
 }>) {
   return (
-    <html lang="en">
+      <html lang="en">
       <body className={inter.className}>
-        <ThemeProvider
+      <Providers
           attribute="class"
           defaultTheme="light"
+          // Feel free to remove this line if you want to use the system theme by default
+          // enableSystem
           disableTransitionOnChange
-        >
-          <div className="min-h-screen bg-gray-200 text-gray-900">
-            <NavBar />
-            <main className="mx-auto p-4">
-              {children}
-            </main>
-          </div>
-        </ThemeProvider>
+      >
+        <div className="min-h-screen bg-gray-200 text-gray-900">
+          <NavBar />
+          <main className="mx-auto p-4">
+            {children}
+          </main>
+        </div>
+      </Providers>
       </body>
-    </html>
+      </html>
   );
 }
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 (
+        <NextThemesProvider {...props}>
+            <TooltipProvider>{children}</TooltipProvider>
+        </NextThemesProvider>
+    )
+}
\ No newline at end of file
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;

From 8a0d3c08786a5f35e051b8e975b700ee25c75e3f Mon Sep 17 00:00:00 2001
From: Aarushi <aarushik93@gmail.com>
Date: Mon, 29 Jul 2024 10:10:11 +0100
Subject: [PATCH 09/11] env based pyro host

---
 rnd/autogpt_server/autogpt_server/util/service.py | 8 +++++---
 rnd/infra/helm/autogpt-server/values.dev.yaml     | 3 ++-
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/rnd/autogpt_server/autogpt_server/util/service.py b/rnd/autogpt_server/autogpt_server/util/service.py
index a77346b2b7..6dcff12bb3 100644
--- a/rnd/autogpt_server/autogpt_server/util/service.py
+++ b/rnd/autogpt_server/autogpt_server/util/service.py
@@ -1,5 +1,6 @@
 import asyncio
 import logging
+import os
 import threading
 import time
 from abc import abstractmethod
@@ -16,6 +17,7 @@ logger = logging.getLogger(__name__)
 conn_retry = retry(stop=stop_after_delay(5), wait=wait_exponential(multiplier=0.1))
 T = TypeVar("T")
 
+host = os.environ.get("PYRO_HOST")
 
 def expose(func: Callable) -> Callable:
     def wrapper(*args, **kwargs):
@@ -33,7 +35,7 @@ class PyroNameServer(AppProcess):
     def run(self):
         try:
             print("Starting NameServer loop")
-            nameserver.start_ns_loop(host="0.0.0.0", port=9090)
+            nameserver.start_ns_loop(host=host, port=9090)
         except KeyboardInterrupt:
             print("Shutting down NameServer")
 
@@ -77,8 +79,8 @@ class AppService(AppProcess):
 
     @conn_retry
     def __start_pyro(self):
-        daemon = pyro.Daemon(host="0.0.0.0")
-        ns = pyro.locate_ns(host="0.0.0.0", port=9090)
+        daemon = pyro.Daemon(host=host)
+        ns = pyro.locate_ns(host=host, port=9090)
         uri = daemon.register(self)
         ns.register(self.service_name, uri)
         logger.warning(f"Service [{self.service_name}] Ready. Object URI = {uri}")
diff --git a/rnd/infra/helm/autogpt-server/values.dev.yaml b/rnd/infra/helm/autogpt-server/values.dev.yaml
index fa78f1d658..90b87c7ae4 100644
--- a/rnd/infra/helm/autogpt-server/values.dev.yaml
+++ b/rnd/infra/helm/autogpt-server/values.dev.yaml
@@ -74,4 +74,5 @@ cloudSqlProxy:
       cpu: "1"
 
 env:
-  APP_ENV: "dev"
\ No newline at end of file
+  APP_ENV: "dev"
+  PYRO_HOST: "0.0.0.0"
\ No newline at end of file

From b0373d4925b58e2cf091404900a8a65f429ae4a7 Mon Sep 17 00:00:00 2001
From: Aarushi <aarushik93@gmail.com>
Date: Mon, 29 Jul 2024 10:10:30 +0100
Subject: [PATCH 10/11] default backend

---
 rnd/infra/helm/autogpt-server/values.dev.yaml | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/rnd/infra/helm/autogpt-server/values.dev.yaml b/rnd/infra/helm/autogpt-server/values.dev.yaml
index 90b87c7ae4..cd55dbd73e 100644
--- a/rnd/infra/helm/autogpt-server/values.dev.yaml
+++ b/rnd/infra/helm/autogpt-server/values.dev.yaml
@@ -34,6 +34,11 @@ ingress:
         service:
           name: autogpt-server
           port: 8000
+  defaultBackend:
+    service:
+      name: autogpt-server
+      port:
+        number: 8000
 
 resources:
   requests:

From 650ffa50c34321c6685eb3eac2294c16a962130b Mon Sep 17 00:00:00 2001
From: Aarushi <aarushik93@gmail.com>
Date: Mon, 29 Jul 2024 10:17:58 +0100
Subject: [PATCH 11/11] linting

---
 rnd/autogpt_server/autogpt_server/server/server.py | 2 --
 rnd/autogpt_server/autogpt_server/util/service.py  | 3 ++-
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/rnd/autogpt_server/autogpt_server/server/server.py b/rnd/autogpt_server/autogpt_server/server/server.py
index 9a2d4e10a5..f002761717 100644
--- a/rnd/autogpt_server/autogpt_server/server/server.py
+++ b/rnd/autogpt_server/autogpt_server/server/server.py
@@ -15,7 +15,6 @@ from fastapi import (
 )
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
-from fastapi.staticfiles import StaticFiles
 
 import autogpt_server.server.ws_api
 from autogpt_server.data import block, db
@@ -34,7 +33,6 @@ from autogpt_server.server.model import (
     SetGraphActiveVersion,
     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
diff --git a/rnd/autogpt_server/autogpt_server/util/service.py b/rnd/autogpt_server/autogpt_server/util/service.py
index 6dcff12bb3..e88ddbddef 100644
--- a/rnd/autogpt_server/autogpt_server/util/service.py
+++ b/rnd/autogpt_server/autogpt_server/util/service.py
@@ -17,7 +17,8 @@ logger = logging.getLogger(__name__)
 conn_retry = retry(stop=stop_after_delay(5), wait=wait_exponential(multiplier=0.1))
 T = TypeVar("T")
 
-host = os.environ.get("PYRO_HOST")
+host = os.environ.get("PYRO_HOST", "localhost")
+
 
 def expose(func: Callable) -> Callable:
     def wrapper(*args, **kwargs):