Revert dumb changes

autogpts/autogpt/autogpt/agents/agent.py

@@ -150,7 +150,7 @@ class Agent(BaseAgent, Configurable[AgentSettings]):
         self.event_history = settings.history
         self.legacy_config = legacy_config
 
-    async def propose_action(self) -> BaseAgentActionProposal:
+    async def propose_action(self) -> OneShotAgentActionProposal:
         """Proposes the next action to execute, based on the task and current state.
 
         Returns:
@@ -202,12 +202,12 @@ class Agent(BaseAgent, Configurable[AgentSettings]):
 
     async def complete_and_parse(
         self, prompt: ChatPrompt, exception: Optional[Exception] = None
-    ) -> BaseAgentActionProposal:
+    ) -> OneShotAgentActionProposal:
         if exception:
             prompt.messages.append(ChatMessage.system(f"Error: {exception}"))
 
         response: ChatModelResponse[
-            BaseAgentActionProposal
+            OneShotAgentActionProposal
         ] = await self.llm_provider.create_chat_completion(
             prompt.messages,
             model_name=self.llm.name,
@@ -231,7 +231,7 @@ class Agent(BaseAgent, Configurable[AgentSettings]):
 
     async def execute(
         self,
-        proposal: BaseAgentActionProposal,
+        proposal: OneShotAgentActionProposal,
         user_feedback: str = "",
     ) -> ActionResult:
         tool = proposal.use_tool
@@ -266,7 +266,7 @@ class Agent(BaseAgent, Configurable[AgentSettings]):
         return result
 
     async def do_not_execute(
-        self, denied_proposal: BaseAgentActionProposal, user_feedback: str
+        self, denied_proposal: OneShotAgentActionProposal, user_feedback: str
     ) -> ActionResult:
         result = ActionInterruptedByHuman(feedback=user_feedback)
         self.log_cycle_handler.log_cycle(

autogpts/autogpt/autogpt/app/cli.py

@@ -2,20 +2,17 @@
 from logging import _nameToLevel as logLevelMap
 from pathlib import Path
 from typing import Optional
-from dotenv import load_dotenv
-
-load_dotenv()
 
 import click
 from forge.logging.config import LogFormatName
 
-# from .telemetry import setup_telemetry
+from .telemetry import setup_telemetry
 
 
 @click.group(invoke_without_command=True)
 @click.pass_context
 def cli(ctx: click.Context):
-    # setup_telemetry()
+    setup_telemetry()
 
     # Invoke `run` by default
     if ctx.invoked_subcommand is None:

autogpts/autogpt/autogpt/llm/providers/openai.py

@@ -1,33 +0,0 @@
-
-from __future__ import annotations
-
-import logging
-from typing import TYPE_CHECKING, Callable, Iterable, TypeVar
-
-if TYPE_CHECKING:
-    from autogpt.models.command import Command
-
-from autogpt.core.resource.model_providers import CompletionModelFunction
-
-logger = logging.getLogger(__name__)
-
-
-T = TypeVar("T", bound=Callable)
-
-
-def function_specs_from_commands(
-    commands: Iterable[Command],
-) -> list[CompletionModelFunction]:
-    """Get OpenAI-consumable function specs for the agent's available commands.
-    see https://platform.openai.com/docs/guides/gpt/function-calling
-    """
-    return [
-        CompletionModelFunction(
-            name=command.names[0],
-            description=command.description,
-            is_async=command.is_async,
-            parameters={param.name: param.spec for param in command.parameters},
-            return_type=command.return_type,
-        )
-        for command in commands
-    ]