Commit 8d14328
committed
feat(tui/sidebar): accurate token-budget breakdown with Tool Definitions
Split the 'Conversation' slice into two honest categories so the
sidebar and status dialog show where the prompt budget is actually
going.
Problem
-------
On a fresh session the sidebar reported ~75K 'Conversation' on a
one-line user message. The 'Conversation' column was computed as
(input_tokens - system_tokens - injected_history_tokens) and was
labeled as user/assistant text — but most of the delta is actually
tool JSON schemas. An HTTP capture of a live Opus 4.7 request on a
long session confirmed:
- system: ~16K
- messages: ~148K (text + reasoning + tool calls + tool results)
- tools: ~23K (40 tool definitions, biggest mcp_Bash at 2.7K)
Our previous estimator only counted 'text' parts, missing reasoning,
tool inputs, tool outputs, tool_result content, and images — which
pushed ~130K of real message content into the 'tools' remainder and
produced nonsense like '74K Tool Definitions' on a long session.
Fix
---
Persist a new `conversation_tokens` column (via ensureColumn, no
migration needed) and compute it at transform time by summing every
token-bearing field across the non-ignored parts we send on the
wire:
- text / reasoning : part.text
- tool (OpenCode) : state.input + state.output
- tool-invocation : args
- tool_use : input
- tool_result : content
- file (image/*) : Anthropic (w*h)/750 formula
For images, added packages/plugin/src/hooks/magic-context/
image-token-estimate.ts that parses PNG IHDR, JPEG SOF0/SOF2,
WebP VP8/VP8L/VP8X, and GIF LSD headers directly from the
base64-decoded prefix (~128 bytes is enough for any of them), so
we match Anthropic's actual billed image tokens (1024x768 -> 1049,
2560x1440 -> 4915) instead of guessing 125K per screenshot from
base64 char count.
Display layer (RPC + sidebar + status dialog):
- Conversation = messagesBlockTokens
- compartmentTokens - factTokens - memoryTokens
- Tool Definitions = inputTokens - systemPromptTokens - messagesBlockTokens
Both floors at 0. New 'Tool Definitions' label (not 'Tools' — that
reads like tool calls). Cached in session_meta so RPC/TUI reads are
synchronous.
Effect on the reported 175K session:
- Before: System 17K / Compartments 63K / Facts 0 / Memories 6K /
Conversation 16K / Tools 74K
- After: System 17K / Compartments 63K / Facts 0 / Memories 6K /
Conversation ~123K / Tool Definitions ~36K
Residual ~13K overshoot on Tool Definitions vs the 23K true tools
size comes from our char/token heuristic (estimateTokens = len/4)
being looser than Anthropic's real tokenizer. A 75%+ accuracy
improvement without requiring a real tokenizer bundle.
Writes to session_meta are wrapped in a try/catch that swallows
SQLITE_BUSY (telemetry; next transform refreshes) and logs anything
else.
Tests
-----
- New image-token-estimate.test.ts covers PNG/JPEG/WebP/GIF decoding,
malformed headers, tiny images, huge images.
- Full suite: 531 tests pass, typecheck clean.1 parent 8cf0b72 commit 8d14328
11 files changed
Lines changed: 417 additions & 17 deletions
File tree
- packages/plugin/src
- features/magic-context
- hooks/magic-context
- plugin
- tui
- data
- slots
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