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Prompts and workflows

DeepSeek V4 Flash · prompting-guide

Switch two thinking styles in SillyTavernAI

Check the client and model version, then use the community guide as a mode-selection reference.

Source reviewed; not testedSillyTavernAI + DeepSeek V4

Prerequisites and inputs

  • character card
  • first message
  • mode instruction

Post highlights (translated and compiled)

The author shared a GitHub guide in the SillyTavernAI community for controlling the style of DeepSeek V4's chain of thought (CoT):

"I found a guide on controlling DeepSeek V4's chain-of-thought (thinking) style in roleplay. If you want the model to **… This is a necessary excerpt; read the original source for full context.

Guide essentials (paraphrased)

Scope: Expert Mode in the official DeepSeek app/web client, as well as the deepseek-v4-flash and deepseek-v4-pro APIs; Quick Mode on the web client is not currently supported.

Probabilistic output: 100% triggering is currently not guaranteed, but this reliably increases the probability of getting the desired format. If it does not work the first time, reroll a few more times.

Three modes

  1. Default: Add nothing; the model chooses automatically based on scene complexity

  2. Character Immersion: Add the 【Character Immersion Requirement】 instruction at the end of the first round → thinking includes the character's inner monologue enclosed in parentheses (for example, "(He greeted me... my heart is racing.)")

  3. Pure Analysis: Add the 【Thinking Mode Requirement】 instruction at the end of the first round → thinking contains only pure logical analysis, with no inner monologue (calmly planning the response strategy like a director)

See the GitHub guide for the full instruction text (the complete guide is included in this directory as “GitHub-角色扮演思考模式切换指南.md”).

Key conclusions

  • This is the most widely cited source in the r/SillyTavernAI community for DeepSeek-V4 (including V4-Flash) roleplay prompts

  • The core technique is to control the chain-of-thought style inside the <think> tag — character immersion (first-person inner monologue) vs. pure analysis (third-person plot planning)

  • This method works with both the deepseek-v4-flash and deepseek-v4-pro APIs

Source and dates

Reddit r/SillyTavernAI · Source date: Not disclosed · Edited: 2026-09-20

Read the original source
Variable checklist

No required variables

Related prompts

Delegate in layers and synthesize a monograph with DSHSwitch between character immersion and pure analysisSwitch roleplay thinking stylesStructure DeepSeek tasks with the CRISPE framework

Related reviews

I Ran DeepSeek V4 Flash on 8 Agent Harnesses (Reddit r/DeepSeek)DeepSeek-V4-Flash: 0731 Benchmark Update and Harness ConditionsDeepSeek-V4-Flash: Local Deployment, Quantization, and Agent TestingDeepSeek V4 Flash 0731 Benchmarks, Pricing & Speed (BenchLM)

Read the full analysis

Pricing · English

DeepSeek V4 Flash Pricing: What You Pay in 2026

DeepSeek V4 Flash pricing changed with the V4.1 migration. See the current cache, peak-hour, output, and workload cost math before you budget.

DeepSeek V4 Flash

Use DeepSeek V4 Flash in Tabbit

Run this guide in the environment listed above. Downloading does not transfer the template or establish model availability for your account.