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Ran Shem Tov
0978b4f5ad
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.