TanStack AI Brings Typed Outputs To Harnesses
TanStack AI now supports schema-constrained, fully typed outputs across agent harness workflows, including coding agents running in sandboxes. Developers can let agents use tools, then receive validated objects instead of parsing free-form text.
This is a meaningful infrastructure upgrade: structured output becomes useful at the end of real agent runs, not just simple one-shot prompts.
- –Agent loops can execute tools first, then produce a schema-validated final object
- –Harness adapters support agents including Claude Code, Codex, OpenCode, Grok Build, and ACP-compatible agents
- –TypeScript inference spans schemas, tool calls, streaming events, and final results
- –The feature makes agent outputs easier to feed into UIs, workflows, persistence layers, and automated tests
- –Provider portability remains a core advantage, though validation and streaming behavior vary by execution path
DISCOVERED
1d ago
2026-08-18
PUBLISHED
1d ago
2026-08-18
RELEVANCE
AUTHOR
tan_stack
