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language-injection

Guides developers in making agent replies and interface messages follow each user's language settings. It covers language instructions in prompts, frontend translation keys, and adding languages through the application's existing shared modules.

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原文查看原文说明

LLM Agent 多语言注入规范。在修改 Agent 提示词、添加新的 Agent 端点、处理用户可见的后端消息(message_code)时使用。

查看安装方法

适用场景

  • Making agent replies follow the user's language
  • Translating backend messages for the interface
  • Adding support for another language
  • Reviewing language handling in new agent endpoints

包含的文件(1)

  • SKILL.md5.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Language Injection for Agent Prompts

Authoritative developer guide: docs/dev-guides/6-i18n-language-injection.md.

Prerequisites: Read docs/dev-guides/6-i18n-language-injection.md before changing Agent prompts, Agent routes, backend user-visible messages, or frontend i18n strings. If your work introduces new language injection patterns or conventions, update this file and related dev-guides accordingly.

Architecture

Frontend i18n.language  →  Accept-Language header  →  get_language_instruction()
                                                           │
                                                   build_language_instruction()
                                                   (agents/agent_language.py)
                                                           │
                                              ┌────────────┴────────────┐
                                              ▼                         ▼
                                        mode="full"               mode="compact"
                                    (text-heavy agents)        (code-gen agents)

Core Modules

ModuleRole
agents/agent_language.pybuild_language_instruction(lang, mode) — generates prompt fragments; inject_language_instruction() — injects into system prompts; supports 20 languages; returns "" for English
routes/agents.py → get_language_instruction()Reads Accept-Language header, delegates to build_language_instruction
routes/agents.py → _get_ui_lang()Extracts primary language code from Accept-Language header
src/app/utils.tsx → fetchWithIdentity()Sets Accept-Language header on every API request from i18n.language
src/app/utils.tsx → translateBackend()Translates backend message_code / content_code using frontend i18n

Code Examples

Route handler — inject language

# In a Flask route handler:
lang_instruction = get_language_instruction(mode="compact")
lang_suffix = f"\n\n{lang_instruction}" if lang_instruction else ""

messages = [
    {"role": "system", "content": "You are a helpful assistant." + lang_suffix},
    {"role": "user", "content": user_input},
]

Agent constructor — use inject_language_instruction()

from data_formulator.agents.agent_language import inject_language_instruction

# Simple append (most agents)
system_prompt = inject_language_instruction(system_prompt, language_instruction)

# Insert before a marker (complex prompts)
system_prompt = inject_language_instruction(
    system_prompt, language_instruction,
    marker="**About the execution environment:**"
)

Python-side user-visible messages — message_code pattern

For fixed strings in Python that appear in the UI, do NOT translate in Python. Return a message_code and let the frontend translate:

# In an Agent or route handler:
yield {
    "type": "error",
    "message": "Output DataFrame is empty (0 rows).",  # English fallback
    "message_code": "agent.emptyDataframe",             # frontend i18n key
}

# With parameters:
result = {
    "status": "error",
    "content": f"Fields not found: {missing}",
    "content_code": "agent.fieldsNotFound",
    "content_params": {"missing": missing, "available": available},
}

Frontend consumption:

import { translateBackend } from '../app/utils';
const msg = translateBackend(event.message, event.message_code, event.message_params);

Translation keys go in src/i18n/locales/{en,zh}/messages.json under messages.agent.*.

Anti-Patterns (with explanations)

PatternWhy it's wrong
os.environ.get("DF_DEFAULT_LANGUAGE")Process-level — all users get same language; breaks multi-user
Global LLM client interceptorHidden behavior; can't distinguish full/compact mode; fragile string detection
New MessageBuilder classDuplicates agent_language.py; creates parallel conflicting abstractions
Hardcoded "回答请使用中文" in promptsNot configurable; skips the mode system; breaks for other languages
Backend-side translation dict (agent_messages.py)Forces adding every new language to Python; translations should all live in src/i18n/locales/
Hardcoded English UI strings in .tsx without t()Not translatable; use useTranslation + t('key')

Adding a New Language

  1. Add language code + display name to LANGUAGE_DISPLAY_NAMES in agents/agent_language.py.
  2. Optionally add extra rules to LANGUAGE_EXTRA_RULES (e.g. simplified vs traditional Chinese).
  3. Add frontend translations in src/i18n/locales/<lang>/ — copy an existing locale folder as template.
  4. No Agent code changes needed — the existing flow picks up new languages automatically.

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