Copilot Cost Analyzer

A VS Code extension that visualizes token costs, cache behavior, and tool call impact for GitHub Copilot Chat sessions.

Data-first analytics.

The extension shows you what happened in each Copilot Chat session — which tools ran, how many tokens they sent, when the cache broke, and what model switches cost you. For older sessions missing exact telemetry, intelligent approximations are used. You interpret the data.

Demo

Features

Session Dashboard

All Copilot Chat sessions discovered across all workspaces (Stable + Insiders)
Per-session cost (USD), token counts, model usage, and data quality badges
Search/filter by session ID, title, workspace path, or quality level

Per-Session Detail

Tab	What it shows
Timeline	Turn-by-turn view of LLM calls and tool calls with token deltas, thinking content toggle, and activity filters
Tools	Tool leaderboard — which tools ran most, result sizes, and compression method counts
Model Switches	Every model change mid-session, with cache preserved % and input delta
Cache	Cache break analysis — sparkline graph, per-call table with break type classification and badges

Cache Break Classification

Each cache break is automatically classified with a cause:

Badge	Type	Trigger
🔄 Compaction	`compaction`	Conversation trimmed to fit context window (input tokens also dropped)
🔀 Model Switch	`model_switch`	Model changed between consecutive calls
🔗 Subagent	`subagent_boundary`	Switched to/from a subagent
⚙️ Sys Prompt	`system_prompt_change`	System prompt was rebuilt (sidecar file reference changed)
🛠 Tools Changed	`tools_changed`	Tool definitions changed between requests
⚙ Options Changed	`options_changed`	Request options changed (e.g. `reasoning.effort`, `include`)
↻ Retry	`retry`	Cache lost after a failed call was retried
⚠ Possible Eviction	`provider_eviction`	No identifiable cause — likely provider cache TTL expiration

Classification uses a priority hierarchy: compaction > model_switch > subagent_boundary > system_prompt_change > tools_changed > options_changed > retry > provider_eviction

Persistent Storage

SQLite database (sql.js) survives VS Code log cleanup
Incremental sync — only re-parses changed sessions
Parser version tracking forces re-sync when classification logic improves

Screenshots

Session Dashboard

All sessions across workspaces with aggregate stats (total AIC, estimated cost), per-model breakdown with cache hit rates, workspace summary, tools leaderboard, and a weekly activity chart.

Session Detail — Timeline Tab

Timeline

Turn-by-turn view of every LLM call with input/output/cache token counts, latency, AIC cost badge, and cold-start detection.

Cache Break Analysis

Cache Tab

Sparkline chart + per-call table showing exactly when and why the prompt cache broke — with typed badges (⚠ Possible Eviction, 🛠 Tools Changed, etc.) and cache delta per call.

Model Breakdown

Per-model token and cost breakdown for sessions that switch models mid-conversation — with individual cache hit rates per model.

Conversation View

Conversation

Full conversation replay — user prompts and Copilot responses side by side, with turn grouping and markdown rendering.

Data Sources

The extension reads from Copilot's debug log files stored in VS Code's workspace storage:

workspaceStorage/<hash>/GitHub.copilot-chat/
├── debug-logs/<session-id>/
│   ├── main.jsonl              ← Primary data source (all events)
│   ├── models.json             ← Model pricing data
│   ├── system_prompt_0.json    ← System prompt snapshots (sidecar)
│   ├── system_prompt_1.json
│   ├── tools_0.json            ← Tool catalog snapshots (sidecar)
│   └── tools_1.json
└── transcripts/<session-id>.jsonl  ← Conversation transcripts

What we parse from `main.jsonl`

Each llm_request entry contains:

Field	Used for
`model`, `inputTokens`, `outputTokens`, `cachedTokens`	Cost computation, cache analysis
`debugName`	Retry detection, call labeling
`systemPromptFile`	System prompt change detection
`toolsFile`	Tool catalog change detection
`requestOptions`	Request options change detection
`requestShape`	Continuation vs full request identification
`inputMessages`	Available but not yet parsed (future: structural diff)
`ttft`	Time to first token
`copilotUsageNanoAiu`	AI credit usage

Relation to VS Code's Cache Explorer

VS Code has a built-in Cache Explorer (in Agent Debug Logs) that does structural prefix diffing — it compares the actual prompt content character-by-character. Our extension uses token-count heuristics and file-reference tracking instead, which is less precise but enables:

Historical persistence — Cache Explorer only shows recent sessions
Cross-session analysis — compare patterns across sessions and time
Cost correlation — tie cache breaks to dollar impact
Aggregate statistics — sparklines, break counts by type

Installation

From Source (Development)

# 1. Clone the repository
git clone https://github.com/sathvikc/copilot-cost-analyzer.git
cd copilot-cost-analyzer

# 2. Install dependencies
npm install

# 3. Run tests
npm test

# 4. Build and install into VS Code
npm run dev:vscode

# Or open in VS Code and press F5 for Extension Host

From VS Code Marketplace (Coming Soon)

Search for "Copilot Cost Analyzer" in the Extensions panel.

Usage

Open the panel
- Command Palette (Cmd+Shift+P / Ctrl+Shift+P) → "Open Copilot Cost Analyzer"
- Or click the icon in the activity bar
Sync your sessions
- Click the Sync button to scan all Copilot debug logs from workspaceStorage/
- Sessions are parsed, costs computed, and stored in SQLite
- Auto-sync on startup is enabled by default
Explore a session
- Click any session in the sidebar
- Switch between Timeline, Tools, Model Switches, and Cache tabs
Filter and search
- Use the search box to filter by session ID, title, or workspace path
- Use the quality dropdown to show only sessions with full cache data
- Use Activity filter checkboxes to show/hide LLM calls, subagents, thinking content

Data Quality

Sessions are marked with a data quality badge:

Badge	Meaning
Full	Session has `cachedTokens` data (post-2026-06-01 sessions with modern Copilot)
Limited	Session is missing `cachedTokens` — cache analysis is unavailable, and cost/token metrics use intelligent approximations.

The cutoff date is configurable via copilotCostAnalyzer.dataCutoffDate.

Architecture

Copilot debug logs  (VS Code workspaceStorage on disk)
  main.jsonl · models.json · transcripts/*.jsonl · chatSessions/*.jsonl
                          │
                          ▼
                      sync.js
              discovers sessions, orchestrates parsing
                          │
           ┌──────────────┴──────────────┐
           ▼                             ▼
  mainJsonlParser.js            modelsJsonParser.js
  LLM calls, tool calls,        pricing map +
  user messages, switches,      per-call cost
  cache breaks, transcripts
           │                             │
           └──────────────┬──────────────┘
                          ▼
                compute/ (cost, AIC, metrics)
                          │
                          ▼
              SQLite — copilot-analytics.db
                      (sql.js, 11 tables)
                          │
                          ▼
                   sessionApi.js
                 queries DB, formats data
                          │
              postMessage RPC  (shared/rpc.js)
                          │
                          ▼
                  Webview Panel (ES modules)
        Timeline · Cache · Tools · Switches · Conversation

Tech Stack

Layer	Choice
Language	Node.js / JavaScript (ES2022)
UI	Webview Panel with ES modules
Parser	Node.js `readline` for JSONL streaming
Database	sql.js (pure JS SQLite, 11 tables)
Charts	Hand-rolled `<canvas>` sparklines
RPC	`postMessage`-based bridge (no HTTP server)
Tests	Vitest (129 tests across 10 test files)

Prior Art

This project is inspired by the existing VS Code extension Token Cost Tracker (netcomlabs-ai.copilot-cost-token-tracker). It builds on that foundation and adds:

Cache break detection and classification (8 types)
Tool call impact analysis
Model switch tracking
Persistent SQLite storage with incremental sync
Dynamic pricing from models.json
Thinking content toggle
Activity filters

You can run both extensions side-by-side for comparison.

Why rebuild? Token Cost Tracker is a closed-source extension. This project is fully open source (MIT) so anyone can inspect, contribute, or fork the code. See the repository to get involved.

Configuration

Setting	Default	Description
`copilotCostAnalyzer.autoSyncOnStartup`	`true`	Automatically sync debug logs when VS Code starts
`copilotCostAnalyzer.dataCutoffDate`	`"2026-06-01"`	Sessions before this date are marked "Limited Data". ISO 8601 format (`YYYY-MM-DD`)
`copilotCostAnalyzer.debugLogging`	`false`	Enable verbose debug logging in the extension and webview console

Development

Commit Convention

All commits follow the Angular Commit Message Convention:

<type>(<scope>): <short summary>

Types: feat, fix, docs, style, refactor, perf, test, chore

Scopes: parser, db, compute, panel, webview, theme, sync, cost

Scripts

Command	Purpose
`npm test`	Run unit tests (Vitest, 129 tests)
`npm run test:watch`	Watch mode for tests
`npm run build`	Lint + test + package `.vsix`
`npm run dev:vscode`	Build and install into VS Code
`npm run install:vscode`	Install latest `.vsix` into VS Code

Key Files

Path	Purpose
`src/api/parser/mainJsonlParser.js`	JSONL parser + cache break classification
`src/api/parser/types.js`	JSDoc type definitions
`src/api/sessionApi.js`	All API functions (session queries)
`src/api/compute/costComputer.js`	Cost computation from model pricing
`src/api/compute/aicClassifier.js`	AI credit classification
`src/db/schema.sql`	Database schema (11 tables)
`src/db/migrations.js`	16 schema migrations
`src/db/sync.js`	Session discovery + incremental sync
`src/ui/`	Webview UI (ES modules)
`src/shared/rpc.js`	postMessage RPC bridge

Versioning

All versions are 0.x.x while the project is in active development.

License

MIT — Sathvik Cheela

Copilot Cost Analyzer

Sathvik Cheela

Copilot Cost Analyzer

Demo

Features

Session Dashboard

Per-Session Detail

Cache Break Classification

Persistent Storage

Screenshots

Session Dashboard

Session Detail — Timeline Tab

Cache Break Analysis

Model Breakdown

Conversation View

Data Sources

What we parse from main.jsonl

Relation to VS Code's Cache Explorer

Installation

From Source (Development)

From VS Code Marketplace (Coming Soon)

Usage

Data Quality

Architecture

Tech Stack

Prior Art

Configuration

Development

Commit Convention

Scripts

Key Files

Versioning

License

What we parse from `main.jsonl`