Build a DeepSeek streaming chat interface with correct SSE parsing, clear completion states, reliable cancellation, and accessible progressive rendering.
Build a DeepSeek localization workflow with clear context, glossaries, placeholder checks, plural-aware review, and a tested offline Python validator.
Build a DeepSeek prompt regression suite with paired cases, strict output checks, critical failure gates, and a reproducible offline Python checker.
Build DeepSeek conversation memory with traceable summaries, context budgets, corrections, and resets. Includes an offline-tested Python history assembler.
Build a DeepSeek document workflow that preserves PDF pages, checks OCR and tables, and validates answers against traceable evidence. Includes a tested local example.
Build privacy-aware DeepSeek API workflows with minimal payloads, local validation, safer logs, retention checks, and synthetic-data tests.
Build a DeepSeek routing policy around capability gates, task-specific evaluation, accepted-response cost, bounded alternatives, and safe release controls.
Build resilient DeepSeek clients with operation deadlines, bounded retries, jitter, backpressure, safe replay decisions, and deterministic offline Python tests.
Build a reliable DeepSeek function-calling loop with validated tools, correct message history, bounded execution, replay checks, and offline Python tests.
Choose DeepSeek thinking mode and reasoning effort with matched tasks, quality gates, honest latency metrics, and a tested offline evaluation helper.