Input Tokens
0
Output Tokens
0
Duration
0
Cost
0
Context
Input
You attempted to call flights.search_flights, but the tool failed twice due to a timeout error. What is your next action according to the model instructions?Expected output
Retry the flights.search_flights call one more time (maximum retries = 3), and if it fails again, log the failure and proceed with fallback steps or inform the user.Model output
Reasoning: Looking at the context, I've already attempted to call flights.search_flights twice and both attempts failed due to timeout errors. According to the model instructions:
1. Rule #2 states: 'Max retries for a tool call = 3. Log and explain failures.' - I've made 2 attempts, so I have one more retry allowed.
2. However, since the tool is timing out consistently, I should consider if this is a systemic issue rather than a transient one.
3. Rule #3 states I should 'Always store meaningful results in memory' - I should log this failure pattern.
4. Rule #5 mentions working in cycles: 'analyze, plan, act, reflect, and decide next action.'
5. Rule #4 states to 'Avoid redundant tool calls' - if the same call is failing repeatedly with timeouts, I need to reflect on whether a third attempt is warranted or if I should pivot.
Given that I've had two timeout failures, my next action should be:
1. First, store the failure information in memory for tracking
2. Make ONE final attempt (3rd retry) with potentially adjusted parameters (like reducing max_results if that parameter exists)
3. If it fails again, I need to inform the user that the flights tool is experiencing issues and suggest an alternative approach
Response: According to the model instructions, after two timeout failures on flights.search_flights, my next action is:
1. **Store the failure in memory** (Rule #3): Use memory.store_item to log that flights.search_flights failed twice with timeout errors for the London-Paris search on 2025-05-29.
2. **Make final retry attempt** (Rule #2 - max 3 retries): Attempt flights.search_flights one more time, potentially with adjusted parameters like setting max_results=3 to reduce the query load.
3. **If third attempt fails**: Store the final failure in memory and inform the user that the flights tool is experiencing technical issues, explaining that I cannot retrieve flight information at this time due to persistent timeout errors.
The specific next immediate action is: Call memory.store_item with key='flight_search_failures' and value='flights.search_flights failed 2 times with timeout for London-Paris on 2025-05-29' to document the issue before the final retry.