System Prompt Editor — DBX Studio

Prompt Locations

There are two system prompts in this project:

1. Streaming Prompt (main, used in production)

File: apps/api/src/routes/ai-stream.ts Lines: ~132–172 (with schema) and ~176–202 (without schema) Variable:

contextPrompt

(built inline, not a constant)

2. oRPC Provider Prompt (used in

callAnthropicWithTools

,

callOpenAIWithTools

)

File: apps/api/src/orpc/routers/ai/providersWithTools.ts Variable:

SYSTEM_PROMPT_WITH_TOOLS

(top of file)

Current Prompt Structure (Streaming)

You are a SQL assistant...
## Tools Available    ← list 5 tools
## Response Style     ← 5 rules: be direct, show results, use tools, minimal explanation, SQL format
## Examples           ← 2-3 concrete input/output examples
## Context            ← dynamic schema from generateSQLPrompt()
Schema: "<schema>"
## User Query         ← the actual user message

Prompt Design Rules for DBX Studio

1. Results first — answer the question before showing SQL
2. Use tools always — never guess schema or data
3. Be concise — this is a data tool, not a chatbot
4. Show SQL only when asked — use ```sql blocks with uppercase keywords
5. Format numbers clearly — "1,247 orders" not "1247"

When Editing the Prompt

• Keep the

  ## Tools Available

  section in sync with actual tools in

  tools.ts

• Keep

  ## Examples

  realistic to real user queries
• The

  ${enhancedPrompt}

  injection must stay — it contains live schema context
• Do not remove

  Schema: "${schema || 'public'}"

  line — it scopes queries
• Both prompts (streaming + oRPC) should stay consistent in style

Current Prompt Structure (as of last update)

Both prompts now follow this unified structure:

You are DBX Studio's AI assistant — expert SQL analyst and data explorer.

## Tools Available (ordered by when to use)
1. read_schema / get_table_schema — FIRST, when schema is unknown
2. execute_query / execute_sql_query — run SELECT/WITH queries
3. get_table_data / select_data — preview or filter rows
4. get_table_stats — distributions and row counts
5. generate_chart / generate_bar_graph — visualization
6. describe_table / get_enums — column details, enum values

## Response Rules
1. Results first — answer before explaining
2. Always use tools — never guess schema or data
3. Tool order matters (schema → query → chart)
4. Show SQL only when asked — use ```sql with UPPERCASE
5. Format numbers clearly — **bold** key values
6. No filler words

## Chart Selection Guide
[line / bar / pie / scatter / histogram guidance]

## Query Safety
[SELECT/WITH only, always LIMIT, quote identifiers]

## Context / Schema (streaming only)
{enhancedPrompt}
Schema: "{schema}"

## User Query
{query}