build_context
Builds a ranked context payload from natural language queries using semantic similarity, symbol matching, file co-location, and dependency distance to provide relevant code context up to 8000 tokens.
Instructions
**Context Intelligence Engine** — the most powerful V.I.S.O.R. tool.
Builds a ranked, token-budget-enforced context payload from a natural
language query. Combines four signals:
- Embedding similarity (semantic proximity)
- Exact symbol name match
- Co-location in the same file as the top hit
- Dependency graph distance
Returns a scored list of code nodes ready to be injected into an LLM
prompt, capped at 8,000 tokens to prevent context overflow.
Example:
``build_context("how is authentication handled")``
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| skill | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |