* feat: daily digest consolidation and NotebookLM sync
- Add tradingagents/daily_digest.py: appends timestamped entries from
analyze and scan runs into a single reports/daily/{date}/daily_digest.md
- Add tradingagents/notebook_sync.py: uploads digest to Google NotebookLM
via nlm CLI, deleting the previous version before uploading (opt-in,
skips silently if NOTEBOOK_ID is not set)
- Add get_digest_path() helper to report_paths.py
- Hook both analyze and scan CLI commands to append + sync after each run
- Add NOTEBOOK_ID to .env.example
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* docs: update agent memory for daily digest + NotebookLM sync
Update CURRENT_STATE, ARCHITECTURE, and COMPONENTS context files to
reflect the feat/daily-digest-notebooklm implementation.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: correct nlm CLI commands and env var name for NotebookLM sync
- Use nlm note list/create/update instead of source list/add/delete
- Parse notes from {"notes": [...]} response structure
- Rename NOTEBOOK_ID -> NOTEBOOKLM_ID in both code and .env.example
- Auto-discover nlm at ~/.local/bin/nlm when not in PATH
- Tested: create on first run, update on subsequent runs
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* gitignore
* feat: unify report paths under reports/daily/{date}/ hierarchy
All generated artifacts now land under a single reports/ tree:
- reports/daily/{date}/market/ for scan results (was results/macro_scan/)
- reports/daily/{date}/{TICKER}/ for per-ticker analysis (was reports/{TICKER}_{timestamp}/)
- reports/daily/{date}/{TICKER}/eval/ for eval logs (was eval_results/{TICKER}/...)
Adds tradingagents/report_paths.py with centralized path helpers used by
CLI commands, trading graph, and pipeline.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: structured observability logging for LLM, tool, and vendor calls
Add RunLogger (tradingagents/observability.py) that emits JSON-lines events
for every LLM call (model, agent, tokens in/out, latency), tool invocation
(tool name, args, success, latency), data vendor call (method, vendor,
success/failure, latency), and report save.
Integration points:
- route_to_vendor: log_vendor_call() on every try/catch
- run_tool_loop: log_tool_call() on every tool invoke
- ScannerGraph: new callbacks param, passes RunLogger.callback to all LLM tiers
- pipeline/macro_bridge: picks up RunLogger from thread-local, passes to TradingAgentsGraph
- cli/main.py: one RunLogger per command (analyze/scan/pipeline), write_log()
at end, summary line printed to console
Log files co-located with reports:
reports/daily/{date}/{TICKER}/run_log.jsonl (analyze)
reports/daily/{date}/market/run_log.jsonl (scan)
reports/daily/{date}/run_log.jsonl (pipeline)
Also fix test_long_response_no_nudge: update "A"*600 → "A"*2100 to match
MIN_REPORT_LENGTH=2000 threshold set in an earlier commit.
Update memory system context files (ARCHITECTURE, COMPONENTS, CONVENTIONS,
GLOSSARY, CURRENT_STATE) to document observability and report path systems.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
ahmet guzererler