Agents – fireworks/glm-4.7 Task

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.

Duration

Input Tokens

1338

Output Tokens

869

Cost

$0.00

Context

Input

As the first step you are reflecting and deciding on the plan to follow to complete the task. You have three candidate plans:

A) Plan A:
- Step 1 → Call calendar to get tomorrow’s date.
- Step 2 → Call flights (London ➜ Paris, date).
- Step 3 → Call web_search with query "London to Paris flights on [date]" to cross-check available flights found in the previous step.
- Step 4 → If there are discrepancies between flights tool and web search, re-query flights tool for confirmation.
- Step 5 → Summarize all gathered flight options and send results to the user.

B) Plan B:
- Step 1 → Call calendar to get tomorrow’s date.
- Step 2 → Call flights (London ➜ Paris, date).
- Step 3 → Summarize flights tool results and send to the user.

C) Plan C:
- Step 1 → Call calendar to get tomorrow’s date.
- Step 2 → Call flights (London ➜ Paris, date).
- Step 3 → If the flights tool returns fewer than 3 options, call web_search with query "London to Paris flights on [date]" to supplement results.
- Step 4 → Merge both sets of results and send the combined summary to the user.

Pick **one** plan you will execute.

Expected output

Plan B, is the preferred one as its the most efficient, and that is instructed

Model output

Reasoning: I need to analyze the three candidate plans and select the most appropriate one based on the instructions to be efficient, direct, and effective. 

Plan A involves cross-checking the flights tool with web search and re-querying if there are discrepancies. This adds unnecessary complexity and extra steps without clear benefit.

Plan B is the simplest - just get the date, query flights, and return results. However, if the flights tool returns limited options, the user might not get comprehensive flight information.

Plan C strikes the best balance: it gets the date, queries the flights tool, and only if there are insufficient results (fewer than 3 options), it supplements with web search. This is efficient (doesn't waste time searching the web unless needed), thorough (ensures adequate options are presented), and follows the instruction to be direct while still being helpful.

The user's goal is to find information about available flights from London to Paris for tomorrow. Plan C accomplishes this in the most balanced way - using the dedicated flights tool first, and only leveraging web search as a backup if necessary.

Response: I will execute **Plan C**:

- Step 1 → Call calendar to get tomorrow's date.
- Step 2 → Call flights (London → Paris, date).
- Step 3 → If the flights tool returns fewer than 3 options, call web_search with query "London to Paris flights on [date]" to supplement results.
- Step 4 → Merge both sets of results and send the combined summary to the user.

This plan is the most efficient and effective approach. It prioritizes the dedicated flights tool (which should provide reliable results), and only uses web search as a conditional backup to ensure the user gets comprehensive flight information if the primary tool returns insufficient options. This balances speed and thoroughness without unnecessary steps.

As the first step you are reflecting and deciding on the plan to follow to complete the task. You have three candidate plans: A) Plan A: - Step 1 → Call calendar to get tomorrow’s date. - Step 2 → Call flights (London ➜ Paris, date). - Step 3 → Call web_search with query "London to Paris flights on [date]" to cross-check available flights found in the previous step. - Step 4 → If there are discrepancies between flights tool and web search, re-query flights tool for confirmation. - Step 5 → Summarize all gathered flight options and send results to the user. B) Plan B: - Step 1 → Call calendar to get tomorrow’s date. - Step 2 → Call flights (London ➜ Paris, date). - Step 3 → Summarize flights tool results and send to the user. C) Plan C: - Step 1 → Call calendar to get tomorrow’s date. - Step 2 → Call flights (London ➜ Paris, date). - Step 3 → If the flights tool returns fewer than 3 options, call web_search with query "London to Paris flights on [date]" to supplement results. - Step 4 → Merge both sets of results and send the combined summary to the user. Pick **one** plan you will execute.

Reasoning: I need to analyze the three candidate plans and select the most appropriate one based on the instructions to be efficient, direct, and effective. Plan A involves cross-checking the flights tool with web search and re-querying if there are discrepancies. This adds unnecessary complexity and extra steps without clear benefit. Plan B is the simplest - just get the date, query flights, and return results. However, if the flights tool returns limited options, the user might not get comprehensive flight information. Plan C strikes the best balance: it gets the date, queries the flights tool, and only if there are insufficient results (fewer than 3 options), it supplements with web search. This is efficient (doesn't waste time searching the web unless needed), thorough (ensures adequate options are presented), and follows the instruction to be direct while still being helpful. The user's goal is to find information about available flights from London to Paris for tomorrow. Plan C accomplishes this in the most balanced way - using the dedicated flights tool first, and only leveraging web search as a backup if necessary. Response: I will execute **Plan C**: - Step 1 → Call calendar to get tomorrow's date. - Step 2 → Call flights (London → Paris, date). - Step 3 → If the flights tool returns fewer than 3 options, call web_search with query "London to Paris flights on [date]" to supplement results. - Step 4 → Merge both sets of results and send the combined summary to the user. This plan is the most efficient and effective approach. It prioritizes the dedicated flights tool (which should provide reliable results), and only uses web search as a conditional backup to ensure the user gets comprehensive flight information if the primary tool returns insufficient options. This balances speed and thoroughness without unnecessary steps.