RQM Optimize Trajectory To Constraints

Choose this endpoint when you have a typed bounded trajectory and need it optimized only if it already satisfies hard speed and duration constraints — i.e., you want constraint-gated optimization, not unconditional smoothing. Prefer this over RQM Reconstruct Smoothed Trajectory when you need constraint enforcement rather than pure smoothing, and over RQM Validate Kinematic Dynamic Limits when you want an optimized output trajectory rather than a pass/fail verdict.

• Trajectory fails speed constraint — optimization cannot produce a path below maximum_speed
• Trajectory fails duration constraint — cannot fit within maximum_duration_s
• Input trajectory has fewer than 2 points or more than 4096 points
• timestamp_s values outside [0, 86400] range
• values arrays outside 1–12 element bounds
• maximum_speed or maximum_duration_s set to zero or negative
• Payment failure or insufficient max_total_price
• Malformed idempotency_key format