≈1k tokens on demand. Your agent reads this file only when SKILL.md points to it.
Common Terminology Reference
This reference contains frequently encountered speech recognition errors and their corrections, organized by domain.
AI/ML Frameworks and Tools
LangChain Ecosystem
| Speech Recognition Error |
Correct Term |
| 蓝犬 |
LangChain |
| 蓝卷 |
LangChain |
| Lantern |
LangChain |
| Luncheon |
langchain |
| lunch |
langchain |
| learning |
LangChain |
| land GRAPH |
langgraph |
| LAN GRAPH |
langgraph |
| Linux (in context) |
LangGraph |
| a memory Server |
MemorySaver |
| AMM Server |
MemorySaver |
| amneserver |
MemorySaver |
| check point |
checkpointer |
| Sharepoint |
checkpointer |
OpenAI
| Speech Recognition Error |
Correct Term |
| open EI |
OpenAI |
| open Email |
OpenAI |
| open AI |
OpenAI |
| GPT store Mini |
gpt-4o-mini |
General AI Terms
| Speech Recognition Error |
Correct Term |
| 拖 |
tool |
| tour |
tool |
| 拖run time |
ToolRuntime |
| wrong time |
runtime |
| TOKEN (in wrong context) |
tool |
| GE组件 |
记忆组件 |
Chinese Phonetic Errors (同音字)
Common Pairs
| Error |
Correction |
Pinyin |
| 绘画 |
会话 |
huìhuà |
| 源数据 |
元数据 |
yuán shùjù |
| 本科 |
本课 |
běnkè |
| 事例 |
示例 |
shìlì |
| 时间代码 |
实践代码 |
shíjiàn |
| 详细的裁剪 |
消息的裁剪 |
xiāoxi |
| 中间键 |
中间件 |
zhōngjiànjiàn |
| 大约模型 |
大模型 |
dà móxíng |
| 希望到 |
希望得到 |
xīwàng dédào |
| 名字空间 |
命名空间 |
mìngmíng kōngjiān |
| 流逝 |
流式 |
liúshì |
| 约着 |
约定 |
yuēdìng |
Code-Related Corrections
Variable/Function Naming Conventions
| Spoken Form |
Written Form |
| user underscore 001 |
user_001 |
| thread underscore id |
thread_id |
| user underscore level |
user_level |
| create underscore agent |
create_agent |
| trim underscore messages |
trim_messages |
| before underscore model |
before_model |
| remove underscore all underscore messages |
remove_all_messages |
Method Calls
| Spoken Form |
Written Form |
| runtime点state |
runtime.state |
| runtime点context |
runtime.context |
| agent点invoke |
agent.invoke |
| result点get |
result.get |
Class Names
| Error |
Correction |
| agent state |
AgentState |
| custom state |
CustomState |
| user context |
UserContext |
| task manager state |
TaskManagerState |
| tool message |
ToolMessage |
| remove message |
RemoveMessage |
API Configuration Terms
Config/Configurable
| Error |
Correction |
| confict |
config |
| conflict |
config |
| THREAD ID |
thread_id |
| context schemer |
context_schema |
| state schemer |
state_schema |
| text meta data |
tags metadata |
Domain-Specific: Video Course Content
Course Structure Terms
| Error |
Correction |
| 第X科 |
第X课 |
| 本科 |
本课 |
| 向消息 |
消息 |
Presenter Names (Context-Specific)
When users provide specific names in their terminology list:
- These are likely presenter or speaker names
- Should be preserved exactly as provided
- Use as reference for identifying speech recognition errors
Usage Notes
Context Matters: Many errors depend on context
- "TOKEN" might be correct in "token数" but wrong in "TOKEN ID" (should be "tool ID")
- "客户" vs "客服" depends on who is speaking
Consistency: Once a correction is identified, apply it consistently throughout
Compound Errors: Watch for multiple errors in one term
- "Luncheon open EI" → "langchain-openai"
- "open AI underscore API underscore key" → "OPENAI_API_KEY"
Case Sensitivity:
- Package names: lowercase (langchain, langgraph)
- Class names: PascalCase (LangChain, MemorySaver)
- Environment variables: UPPER_SNAKE_CASE
