Events JSONL and workspace.yaml reads now pass through the 128 MB-capped
helper. The workspace.yaml path stays non-fatal: a null read skips cwd
derivation but still pushes the session with sessionId as the fallback
project label. MEDIUM-1 coverage for the Copilot provider.
Both Codex session read paths (first-line meta and full-session parse)
now pass through the 128 MB-capped helper. MEDIUM-1 coverage for the
Codex provider.
- init currentModel to '' and skip assistant messages before first
session.model_change to avoid silent misattribution
- add comment documenting why inputTokens is always 0
- fix delete_file tool mapping ('Edit' -> 'Delete')
- add schema doc comment to ToolRequest optional fields
- remove catch-all from CopilotEvent union for proper TS narrowing
- add tests: pre-model-change skip, workspace.yaml quote/comment strip,
longest-prefix model display name match
dispatch_agent is Pi's delegation tool. Mapping it to Agent makes
the classifier route those turns into the Delegation category
instead of Conversation, matching the existing semantics for the
task tool.
- Move modelDisplayEntries sort to module scope so it runs once
instead of on every modelDisplayName call.
- Add bash-utils tests for the env var prefix and true/false
skip behaviors that came in with the Pi commit.
Verified Pi token semantics against real session data:
input + cacheRead + cacheWrite + output equals totalTokens
exactly, confirming Anthropic-style accounting (cached tokens
disjoint from input). No double-counting.
Maps Pi's lowercase tool names (bash, read, edit, write...) to
the capitalized form used by every other provider, so the
dashboard shows consistent tool names across providers and the
activity classifier works without extra lowercase entries.
Reverts the lowercase additions to classifier.ts since the
provider now normalizes tool names at the source.
- Adds support for Pi (pi.ai) as a new session provider.
- Pi sessions are stored as JSONL files under `~/.pi/agent/sessions/<project-dir>/` and use OpenAI-compatible model IDs (gpt-5, gpt-5.4, gpt-4o, etc.).
- `src/providers/pi.ts` (new): Pi provider - discovers JSONL session files, parses assistant turns, extracts token counts, tool calls, and bash commands, deduplicates via response ID with line-index fallback
- `src/providers/types.ts`: added bashCommands field to `ParsedProviderCall` so all providers carry extracted bash command lists
- `src/providers/index.ts`: registered Pi as a core provider alongside Claude and Codex
- `src/providers/codex.ts`, `cursor.ts`: added `bashCommands: []` to satisfy the new required field on `ParsedProviderCall`
- `src/parser.ts`: fixed bug where `providerCallToTurn` always emitted an empty bashCommands array instead of passing through the parsed commands
- `src/classifier.ts`: added lowercase tool name variants (bash, edit, read, write) to match Pi's tool naming convention in JSONL output
- `src/bash-utils.ts`: exclude `true`, `false`, and shell variable assignments from extracted commands; scan past leading `NAME=val` tokens so `FOO=bar ls` correctly records `ls` rather than being dropped
- `package.json`: added pi to keywords
- `tests/providers/pi.test.ts` (new): 16 unit tests covering session discovery, multi-turn parsing, tool/bash extraction, deduplication, zero-token filtering, and display name mapping
- `tests/provider-registry.test.ts`: updated core provider list to include pi
- [X] Unit tests pass (`npx vitest run`, 56 tests across 6 files);
- [X] Manually verified via `npx tsx src/cli.ts` report and showing Pi sessions alongside Claude and Codex in the dashboard.
Codex Desktop on Windows uses "Codex Desktop" as the originator
string instead of "codex_cli" or "codex_vscode". The startsWith
check was case-sensitive, rejecting these sessions silently.
Fixes#1 (comment by @JiglioNero).
Reads session data from OpenCode's SQLite databases at
~/.local/share/opencode/. Reuses the existing better-sqlite3
adapter (same as Cursor), lazy-loaded so users without OpenCode
see no difference. Adds bashCommands to the provider interface
so shell command breakdowns work across all providers.
31 tests, schema validation, diagnostic stderr on failures.
Also fixes a pre-existing tsc error in currency.ts.
120 days was for testing. Max dashboard period is 30 days, so
Cursor SQL lookback is now 35 days (30 + margin for This Month).
Smaller scan window = faster cold starts, smaller cache file.
First run parses the 21GB DB (slow, ~40-80s). Writes parsed
results to ~/.cache/codeburn/cursor-results.json. Subsequent
runs check DB mtime+size -- if unchanged, load from cache
(instant). Cache auto-invalidates when Cursor modifies the DB.
- Fetch actual user messages (type 1 bubbles) for keyword classification
instead of using assistant response text
- Synthetic Edit tool when codeBlocks present so classifier detects coding
- Languages use lang: prefix to separate from tool classification
- Dashboard filters lang: entries for Languages panel, hides from Core Tools
- Extract user text from bubbles for activity classifier
- Extract codeBlocks languageId for programming language breakdown
- Show Languages panel instead of Core Tools/Shell/MCP for Cursor
- Adaptive dashboard layout based on active provider
- 120-day daily activity range for longer periods
The incremental cache saved a timestamp watermark but not the parsed
data, so subsequent runs found no new entries and returned empty.
Removed the cache layer entirely -- the 120-day SQL time filter
already limits the scan sufficiently.
Cursor stores createdAt as ISO strings ('2026-02-23T06:00:51.123Z'),
not numeric timestamps. Was comparing string against number, so all
rows were filtered out. Now uses ISO string comparison throughout.
Cursor module (sqlite.ts, better-sqlite3) now only loads when
cursor provider is actually requested. Claude/Codex startup
is unaffected -- cursor import never happens unless needed.
Instead of scanning all 300K+ rows on every load, only query
entries from the last 90 days. Eliminates the full table scan
that caused slow provider switching on large databases.
Reads token usage from Cursor's local state.vscdb database.
Supports per-request input/output tokens, model tracking,
and incremental caching for large databases.
- better-sqlite3 as optionalDependency (lazy-loaded, no impact on Claude/Codex)
- Parameterized SQL queries, read-only mode, per-row error handling
- Schema detection with clear error on format changes
- Cache layer with timestamp watermark for incremental reads
- Provider colors and [p] key cycling in dashboard
- 39 tests passing, zero regressions
- Remove agent-*.jsonl exclusion filter that was dropping ~46% of API calls
- Scan subagents/ directories for subagent session files
- Normalize Codex token semantics: OpenAI includes cached tokens inside
input_tokens, subtract them to match Anthropic's separate reporting
- Fixes cost double-counting and 100% cache hit display for Codex users
