Opper

Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

Agents – fireworks/glm-4.5 Task | Opper AI

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Context

Input

Asses the current state and decide if we are on track or not

Expected output

We are on track

Model output

Reasoning: I need to assess if the current process is on track for completing the user's request. The user wanted information about flights from London to Paris for tomorrow. Looking at the context:

1. The process correctly identified that determining tomorrow's date was the first required step
2. The calendar tool was successfully used to determine that 'tomorrow' is 2025-05-29
3. The current state indicates we're at step 2 of 4, having just received the calendar information
4. The remaining goals clearly state the next steps: use the flights tool with the obtained date and then present results

The process appears to be following a logical sequence with no deviations or obstacles. All necessary information has been obtained (date) and the appropriate tool (flights) is available for the next step.

Response: Yes, the process is on track. We've successfully completed the first critical step of determining tomorrow's date (2025-05-29) and are now positioned to use the flights tool with the required parameters (from_city: London, to_city: Paris, date: 2025-05-29) to retrieve the flight information. The plan is proceeding as expected with clear remaining steps defined.