[M3 Request] Claude Code 2.1.154+ sends MiniMax-M3 a reduced system prompt by default — please add CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT=0 to your docs
Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 1/5
- Tiempo estimado
- Menos de una hora
- Aptitud para principiantes
- 90/100
- Tipo de issue
- Documentación
- Claridad
- Bien especificado
- Estado de actividad
- Activo
- Área
- documentation
Línea de trabajo
Abre la página de documentación de Claude Code enlazada en el issue y localiza el bloque existente de variables de entorno para la configuración de MiniMax. Añade CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT con el valor 0, conserva el formato JSON y verifica que el ejemplo siga siendo válido y coincida con la configuración solicitada.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Summary
Claude Code has two system prompts: full and lean (short). Since v2.1.154 (released 2026-05-28), the lean prompt is the default for all non-Claude model IDs. So MiniMax-M3 gets the short prompt. The short prompt removes many instructions that teach the model how to work as a coding agent.
Result: MiniMax-M3 looks much weaker inside Claude Code than it really is. One environment variable fixes this. It is missing from your docs (https://platform.minimax.io/docs/token-plan/claude-code).
How to verify (5 minutes)
- Install Claude Code >= 2.1.154 and connect it to MiniMax as described in your docs.
- Run
claudein any folder. Type/context. Note the "System prompt" size: about 1.7k tokens. This is the lean prompt. - Add this key inside the
"env"block of~/.claude/settings.json. Do not replace the file — only add this one key:
"CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT": "0"
Example of a full file (based on your docs):
{
"env": {
"ANTHROPIC_AUTH_TOKEN": "YOUR_MINIMAX_API_KEY",
"ANTHROPIC_BASE_URL": "https://api.minimax.io/anthropic",
"CLAUDE_CODE_AUTO_COMPACT_WINDOW": "1000000",
"CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT": "0"
}
}
- Restart
claude. Run/contextagain: about 7k tokens. This is the full prompt. - Optional exact proof: dump raw API requests with
OTEL_LOG_RAW_API_BODIES=file:/tmp/ccdumpand compare thesystemfield between the two runs.
Measurements
Two live runs, clean config (no user MCP servers), empty folder, Claude Code 2.1.251, model MiniMax-M3. Verified with raw request dumps, 2026-08-31.
| Layer | Full (=0) | Lean (default) | Change |
|---|---|---|---|
| System prompt | 27,830 chars | 6,443 chars | -77% |
| All tool descriptions | 56,362 chars | 38,313 chars | -32% |
| Bash tool description | 9,813 chars | 1,265 chars | -87% |
| WebSearch tool description | 1,319 chars | 309 chars | -77% |
| Agent tool description | 6,926 chars | 1,668 chars | -76% |
| WebFetch tool description | 1,503 chars | 374 chars | -75% |
| Edit tool description | 1,094 chars | 360 chars | -67% |
| Read tool description | 1,830 chars | 838 chars | -54% |
| Write tool description | 618 chars | 240 chars | -61% |
Note: exact totals can shift slightly when Claude Code enables or disables a server-side experiment tool, but the lean/full split stays the same.
What MiniMax-M3 loses in lean mode
- The "Doing tasks" section: the engineering discipline rules (prefer editing existing files, no abstractions beyond what the task requires, no half-finished work, test UI changes in a browser, and more).
- Prompt injection detection for tool results (WebFetch / MCP / web content). Completely absent in lean mode (verified in the dumps: 3 mentions in the full prompt, 0 in the lean prompt).
- Rules for parallel tool calls (reduced from a detailed section to a single line).
- Delegation guidance from the system prompt — when to use subagents and the Explore agent (the shortened Agent tool description keeps only the bare core).
- Most of the Bash tool description: git workflow, PR creation steps, background task handling (-87% of characters).
Anthropic wrote in the v2.1.154 release notes: "The lean system prompt is now the default for all models except Haiku, Sonnet, and Opus 4.7 and earlier."
This works for their newest Claude models, which are trained to follow these rules without the explicit text. For MiniMax-M3 the result is different: in everyday use, the same model follows instructions much better with the full prompt — fewer mistakes and fewer repeated steps. Repeated steps also consume Token Plan quota faster.
Why the settings in your docs do not fix this
Your Claude Code page recommends ANTHROPIC_BASE_URL, ANTHROPIC_AUTH_TOKEN and CLAUDE_CODE_AUTO_COMPACT_WINDOW. None of these change the prompt shape. We also verified with raw request dumps that CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1 does not restore the full prompt: the CLI applies the lean prompt to non-Claude model IDs unconditionally.
Only CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT=0 restores the full prompt. This is an official, documented option. From https://code.claude.com/docs/en/env-vars: "Set to 0, false, no, or off to opt out even on models where the experiment or server configuration would otherwise enable it. The full tool set, hooks, MCP servers, and CLAUDE.md discovery remain enabled."
Request
Please add "CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT": "0" to the env block in https://platform.minimax.io/docs/token-plan/claude-code (and to any MiniMax coding-plan setup tooling, if one exists).
One line, officially supported by Claude Code, and it restores full agent quality for all Token Plan users in Claude Code.
References
- Release notes v2.1.154 (published 2026-05-28): https://github.com/anthropics/claude-code/releases/tag/v2.1.154
- Official env vars docs: https://code.claude.com/docs/en/env-vars
- Independent comparison and security note (same split measured on a Claude model): https://github.com/CherryHQ/cherry-studio/pull/18028
- Lenguaje dominante
- Sin datos de lenguaje
- Estrellas
- 487
- Forks
- 59
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Preparar el entorno
Aún no hemos revisado los archivos de configuración de este proyecto. Empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Más de MiniMax-AI/MiniMax-M3
-
[M2.7 Bug]Abiertobug
Dificultad 4/5 3-5 días Aptitud para principiantes 45/100
MiniMax-AI/MiniMax-M3#35 ·
-
enhancement
Dificultad 4/5 3-5 días Aptitud para principiantes 45/100
MiniMax-AI/MiniMax-M3#33 ·
-
Verify evals on Papers with CodeAbierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 48/100
MiniMax-AI/MiniMax-M3#32 ·
-
bug
Dificultad 4/5 3-5 días Aptitud para principiantes 42/100
MiniMax-AI/MiniMax-M3#31 ·
-
Dificultad 4/5 3-5 días Aptitud para principiantes 35/100
MiniMax-AI/MiniMax-M3#30 ·
Todos los issues de MiniMax-AI/MiniMax-M3
Issues similares
-
sync-en
Dificultad 1/5 1-3 horas Aptitud para principiantes 88/100
Los mantenedores suelen responder en 2 días
-
external
Dificultad 2/5 1-3 horas Aptitud para principiantes 68/100
langchain-ai/docs#6255 ·
Los mantenedores suelen responder en 1 día
-
Detect Deno tasks from deno.jsonAbiertodetectors enhancement good first issue
Dificultad 2/5 1-3 horas Aptitud para principiantes 86/100
SM260845/readme-gen#1 ·
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 88/100
angular/angularfire#3774 ·
Los mantenedores suelen responder en 2 días
-
Lychee link check failedAbiertogood first issue help wanted opensource september
Dificultad 1/5 Menos de una hora Aptitud para principiantes 88/100