PrismHubThe right intelligence for every step.
Built on your terms.
Separate planning, tool selection, and result validation. A model layer lets each part of an agent workflow use a suitable model without entangling orchestration with provider-specific code.
A deliberate workflow.
Plan with clear boundaries
Define the goal, available tools, and stopping conditions. Keep permissions in your application rather than delegating them to model output.
Execute and observe
Validate every tool argument against a schema. Capture the tool result and request trace so the next step has reliable context.
Recover deliberately
Set a retry budget and distinguish model failures from tool failures. Require approval before actions with external consequences.
Start with the right strengths.
Kimi
Keep the whole task in view. Long-context intelligence for reasoning, coding, and agentic workflows.
GLM
Intelligence across languages. Versatile intelligence for reasoning, coding, and multilingual applications.
DeepSeek
Work through the hard parts. Explore a focused approach to reasoning, mathematics, and code.
A starting shortlist for evaluation, not a benchmark ranking. Choose specific versions against your own workload.