lattice

Lattice - Large File Analysis

Use the Lattice MCP tools to analyze files that are too large to read directly. Lattice stores query results server-side and returns compact handle stubs, achieving 97%+ token savings.

When to Use

• File is larger than 500 lines (for smaller files, use Read directly)
• You need multiple searches on the same file
• You're extracting or aggregating structured data (counts, sums, patterns)
• You're doing exploratory analysis and don't know what you're looking for
• You want to avoid hallucination on factual queries about file contents

Core Workflow

The standard workflow is: load → query → expand → close

1. lattice_load — Open the file (starts a session)
2. lattice_query — Run Nucleus S-expression commands (returns handle stubs like $res1)
3. lattice_expand — Inspect actual data from a handle when you need to see contents
4. lattice_close — End the session when done

Efficiency Tips

• Chain operations in sequence rather than making many independent queries. Use RESULTS to refer to the previous result and build a pipeline in a single query session.
• Start broad, then narrow: grep first, then filter, then count/sum.
• Only expand when needed: Handle stubs give you counts and previews — expand only when you need to see actual data for decision-making.
• Prefer (count RESULTS) or (sum RESULTS) over expanding and counting client-side.

Nucleus Command Reference

Search

(grep "pattern")              ; Regex search — returns handle to matching lines
(fuzzy_search "query" 10)     ; Fuzzy match — top N results by relevance
(lines 10 20)                 ; Get specific line range (start end)

Transform

(filter RESULTS (lambda x (match x "pattern" 0)))   ; Keep matching items
(map RESULTS (lambda x (match x "(\\d+)" 1)))       ; Extract regex group from each item

Aggregate

(count RESULTS)               ; Count items (returns scalar directly)
(sum RESULTS)                 ; Sum numeric values (auto-extracts numbers)