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fix(agent): Fix resumption from mid-cycle state in CLI mode (#7224) 

When an agent is resumed from a mid-cycle state (having made a proposal but not executed it yet), we need to use the previously determined `current_episode.action` proposal instead of calling `agent.propose_action()` again.
pull/7212/head^2
Reinier van der Leer 2024-06-18 19:30:24 +02:00 committed by GitHub
parent 227cf41612
commit 02dc198a9f
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1 changed files with 19 additions and 16 deletions
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35
autogpt/autogpt/app/main.py
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@ -510,22 +510,25 @@ async def run_interaction_loop(
########
handle_stop_signal()
# Have the agent determine the next action to take.
with spinner:
try:
action_proposal = await agent.propose_action()
except InvalidAgentResponseError as e:
logger.warning(f"The agent's thoughts could not be parsed: {e}")
consecutive_failures += 1
if consecutive_failures >= 3:
logger.error(
"The agent failed to output valid thoughts"
f" {consecutive_failures} times in a row. Terminating..."
)
raise AgentTerminated(
"The agent failed to output valid thoughts"
f" {consecutive_failures} times in a row."
)
continue
if not (_ep := agent.event_history.current_episode) or _ep.result:
with spinner:
try:
action_proposal = await agent.propose_action()
except InvalidAgentResponseError as e:
logger.warning(f"The agent's thoughts could not be parsed: {e}")
consecutive_failures += 1
if consecutive_failures >= 3:
logger.error(
"The agent failed to output valid thoughts"
f" {consecutive_failures} times in a row. Terminating..."
)
raise AgentTerminated(
"The agent failed to output valid thoughts"
f" {consecutive_failures} times in a row."
)
continue
else:
action_proposal = _ep.action
consecutive_failures = 0