Grok-4.20-multi-agent reasoning.effort controls agent collaboration
For grok-4.20-multi-agent, reasoning.effort parameter dictates the number of collaborating agents.
reasoning.effort
Where
API request parameters (grok-4.20-multi-agent)
Why
To manage the complexity and scope of multi-agent collaboration for a given request.
What it does and when to use it
In the grok-4.20-multi-agent model, the reasoning.effort parameter functions differently than in single-agent models. Instead of controlling reasoning depth, it determines the number of agents that will collaborate on processing a request.
Sources and credit
- Reasoning ↗xAI · xAI Docs: Guides · Aug 11, 2026 · paraphrased
First seen on Subvolts Aug 11, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
Where it shows up
- ReasoningxAI · xAI Docs: Guides · Aug 11, 2026
Related in the PlaybookPlaybook →
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- RuleLimit initial Grok Bot tests to fictional messages and your own addressStart Grok Bot testing with fictional messages and your own email to avoid unintended external communication. · 5 min
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- System promptPersonify Grok agents with system prompts for specific rolesDefine agent roles like 'money manager' to guide their behavior and interactions. · 5 min
- HeuristicSelective Tool Access with allowed_toolsFocus Grok's capabilities by specifying which tools from an MCP server to enable. · 5 min
- ChecklistPre-computation checklist for multi-agent research tasksItems to consider before initiating a multi-agent research request. · 5 min
Questions people ask
- Which AI tools does this work with?
- The sources used it with Grok.
- Where did this come from?
- xAI (xAI Docs: Guides). Subvolts collected, normalized and credited it; the link above opens the original.