Apply the same fixes to both the strands (Python) and strands-typescript
integrations for 1:1 parity:
- Lift RunAgentInput.context into the prompt (buildStatePrompt /
build_state_prompt) so useAgentContext values (readonly-state-agent-context)
and the openGenerativeUI design-skill / sandbox-function context actually
reach the model. The adapter does not surface context on its own; this
mirrors langgraph's lift-context-into-prompt pattern.
- open-gen-ui: prepend an imperative to the visualization design skill (and add
a design skill to the advanced cell) so the model calls generateSandboxedUi
instead of answering in plain text, and clarify that sandbox functions are
iframe->host bridges, not LLM tools.
- hitl-in-chat: sharpen the book_call description so it wins scheduling intents
over the shared backend schedule_meeting tool (which renders no picker).
- Add a roll_dice tool (shared python tools + TS tools) so the tool-rendering
catch-all 'Roll a d20' and 'Chain tools' pills work.
Ran Shem Tov