Browse executable prompts and workflows by task, content type, and runtime. Each card shows inputs, verification status, and the original source.
Runtimes vary by resource and may include an API, CLI, agent framework, or browser coding environment. Check each card for details.
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UnverifiedDeepSeek API Docs / DeepSeek-V3.2 Release and Thinking Mode
DeepSeek V3.2 Thinking Tool Calls and Multi-turn State Configuration
V3.2 integrates thinking directly into tool use. Multi-turn tool requests must fully pass back the previous turn's `reasoning_content`; otherwise, the API may return an error or lose the reasoning state. The thinking mode should not be configured with temperature/top_p.
DeepSeek-V3.2's Long-Context and Agent Evidence-Anchoring Workflow
DeepSeek's technical report shows that V3.2 uses large-scale environment and complex-instruction synthesis to train Agent generalization; when using it, organize tool results, task constraints, and verifiable outcomes into a trajectory instead of relying on a single “please think autonomously” instruction.
UnverifiedDeepSeek API Docs / DeepSeek-V3.2 Release and Thinking Mode
DeepSeek V3.2 Thinking Tool Calls and Multi-turn State Configuration
V3.2 integrates thinking directly into tool use. Multi-turn tool requests must fully pass back the previous turn's `reasoning_content`; otherwise, the API may return an error or lose the reasoning state. The thinking mode should not be configured with temperature/top_p.
DeepSeek-V3.2's Long-Context and Agent Evidence-Anchoring Workflow
DeepSeek's technical report shows that V3.2 uses large-scale environment and complex-instruction synthesis to train Agent generalization; when using it, organize tool results, task constraints, and verifiable outcomes into a trajectory instead of relying on a single “please think autonomously” instruction.
