Spaces:
Sleeping
Sleeping
Commit History
-
feat: Deterministic data gate on the Researcher->Analyzer edge
Applies the AgentAsk edge-contract principle deterministically (no LLM): - DG: per-category required-metric rules audited on the exact extracted view the Analyzer consumes; gaps render as an explicit MISSING section in the reference table instructing 'DATA NOT PROVIDED' - the silent empty-valuation case can no longer pass unflagged, and the Critic's existing constraint rule finally has something to enforce - SC: sanity bounds quarantine impossible magnitudes (decimal/unit slips) before they can enter the reference table and be cited; bounds reject the impossible, not the unusual (Boeing's real 9.92 D/E passes) - Both findings logged to the activity stream; 7 gate tests added7abf8e9 -
fix: Boeing-run findings — canonical refs, edge contracts, guardrails
1. Canonical [M##] alignment: final result now carries metric_reference (the analyzer's own numbered list); the Quantitative Data table renders from it so table refs match SWOT text citations exactly (was: positional row numbering that diverged from the analyzer's 16-item list) 2. Numeric validator: accept citations exact at displayed precision ("$2.2B" for 2.237e9); mismatch messages now include raw values 3. Parser edge contract: only [M##]-cited lines enter the quadrants; uncited action lines route to a new Recommendations block, data-quality prose to quality notes; markdown headers can no longer leak as rows 4. Interpretation guardrails in analyzer prompts (VIX bands, margin benchmarks, internal-W/external-T classification) and a critic rubric line penalizing misclassification and W/T metric duplication 5. Citation coverage counts distinct cited metrics (no more 125%); provider failure logs deduped to one line per provider Contract tests added (tests/tes…e961a43
-
fix: Align analyzer field names with MCP data structure
Valuation: - Use pb_ratio/ps_ratio instead of price_to_book/price_to_sales - Check both yahoo_finance and alpha_vantage sources (fallback) Macro: - Use interest_rate instead of fed_funds_rate - Use cpi_inflation instead of cpi_yoy - Use unemployment instead of unemployment_rate Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>2db41a2
-
fix: Improve SWOT output formatting
- Format large numbers with B/M suffixes ($177.6B instead of $177,556,000,000) - Fix SWOT line parsing to require spaces around separator ( - not just -) - Prevents dates like 2024-12-31 from being split across columns Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>1f4f8e3 -
fix: Handle temporal dict format for revenue_cagr_3yr in analyzer
The metric was being passed as {value: X, end_date: Y} dict but the formatter expected a scalar float. Added proper type checking. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>dd14be4 -
fix: Update analyzer to handle new MCP source-keyed structure
- Add _extract_valuation_metric() for temporal wrappers with as_of - Update valuation extraction to use new structure - Update volatility extraction for fred/yahoo_finance sources - Update macro extraction for bea/bls/fred sources - Update news extraction for tavily/nyt/newsapi arrays - Update sentiment extraction for finnhub/reddit arrays Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>1492943 -
fix: Handle 'sources' wrapper in fundamentals data structure
The Researcher-Agent returns fundamentals wrapped in a "sources" key: {"sources": {"sec_edgar": {"data": {...}}, "yahoo_finance": {...}}} But analyzer expected flat structure: {"sec_edgar": {"data": {...}}, "yahoo_finance": {...}} This caused fundamentals (revenue, net_income, margins, etc.) to be silently missing from SWOT analysis. Fixed in 3 places: - _extract_company_profile() - for company profile extraction - _generate_data_report() - for Data Report tables - _extract_key_metrics() - for metric reference table Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>146876d -
feat: SWOT output as structured text parsed into HTML tables
- Backend: Updated analyzer prompt OUTPUT FORMAT to use structured text format: [M##] Metric: Value - Insight - Backend: Updated revision prompt to match the same format - Frontend: Added parseSwotLine() parser to extract ref, metric, insight - Frontend: Replaced SWOT list display with HTML tables (3 columns) - Frontend: Removed unused icon imports (Zap, AlertCircle) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>6fd7fcd -
Fix revision loop: add critique_details to AgentState
Bug: critique_details was not defined in AgentState TypedDict, causing LangGraph to drop it between nodes. Revisions never triggered because analyzer couldn't see critic's REJECTED status. - Add critique_details: Optional[dict] to AgentState - Add analyzer_revision_skipped: Optional[bool] to AgentState - Add debug logging to trace state flow Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>95ae0b4 -
Reformat SWOT output: concise 3-column table format
Backend: - Update analyzer prompt to output SWOT as tables - Format: | Ref | Metric | Insight | - Update revision prompt to use same table format Frontend: - Add cleanMarkdown() to strip asterisks and bold markers - Apply to all SWOT item displays and copy text Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>0fb19bd -
Remove duplicate Company Details from markdown output
Company profile info is already displayed in frontend's Company Profile section - no need to duplicate in backend markdown. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>69cd30e -
UI improvements: metric refs, company details, remove status labels
- Add M01/M02 metric reference format in data table - Add Company Details section (sector, industry, HQ, employees) - Capitalize acronyms (GDP, VIX, P/B, P/S, EPS, etc.) - Remove status labels (REJECTED, Acceptable, Board-ready, PASSED) - Use human-readable metric names in data quality notes Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>86951ae
-
Fix: Metric extraction to match MCP data structure
- Fix fundamentals to use sec_edgar/yahoo_finance structure - Fix valuation to use yahoo_finance.data structure - Fix volatility to use yahoo_finance.data + market_volatility_context - Fix macro to use bea_bls/fred structure - Reduce critic source_data truncation to 4000 chars (was 8000) - Fallback to multi_source if metrics path empty Fixes "No metrics extracted" error and 413 Payload Too Large. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>b3daac3 -
Increase LLM rate limit delays from 5s to 10s
Prevents 429 errors when Critic rejects and Analyzer retries. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>df1355a -
Fix: Handle temporal dict structure in _format_metrics_for_prompt
- Add _get_val helper to extract value from dict or plain value - Fix operator precedence in date extraction (add parentheses) - Prevents TypeError when formatting temporal metrics Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>f80bf1d -
Fix: Temporal data extraction and frontend date display
Backend: - Extract dates for valuation/volatility/macro in analyzer.py - Fix workflow_store.py to use regular_market_time for valuation - Fix workflow_store.py to use generated_at for volatility - Add Layer 2 (minimum citation count) to numeric_validator.py - Add Layer 3 (uncited number detection) to numeric_validator.py - Integrate Layers 2/3 in critic.py Frontend: - Add normalizeDate() for YYYY-MM-DD format (2025Q3→2025-09-30) - Add inferDataType() "Spot" for valuation metrics - Add extractDate() with multiple field fallbacks for news Fixes issues 2, 3, 5, 6, 8 from frontend data display audit. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>09c3333 -
Add SWOT output enhancements
1. Display business_address below company header 2. Replace Quality Evaluation with DATA QUALITY NOTES section - High confidence metrics - Data gaps or staleness (>30 days) - Assumptions made 3. Add toast notifications on completion/error using Sonner Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>faf1006 -
Add VADER sentiment analysis for news and reddit
- Add VADER helper functions (_get_vader, _compute_vader_sentiment) - Extract VADER scores from news headlines in _extract_key_metrics - Extract VADER scores from reddit post titles - Update metric reference table to include sentiment metrics (M##) - Display VADER breakdown in formatted prompt output Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>4ec98e2 -
Layer 4: Add deterministic numeric validation in Critic
Enforces machine-verifiable numeric accuracy: 1. Prompt changes (analyzer.py): - Require [M##] citations for all metric values - Example: "Revenue of $394.3B [M01] demonstrates..." - Clear warning that citations are auto-verified 2. New validator (numeric_validator.py): - Extract [M##] citations from SWOT output - Normalize values ($394.3B -> 394300000000) - Compare against metric_reference with tolerance - Return specific mismatch descriptions 3. Critic integration (critic.py): - Validate citations after LLM evaluation - If mismatches: cap evidence_grounding at 4, force rejection - Add specific feedback for revision - Log validation results to activity log Tested with Ford hallucination case: - Detects: market_cap $43.4B vs expected $56.6B - Detects: pe_trailing 21.3 vs expected 12.14 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>a2c9702 -
Add compact activity log for Analyzer reference values
- Log metric reference values in compact format for manual verification - Format: revenue=$394.3B, net_margin=25.3%, pe_trailing=32.5, beta=1.23 - Shortens large numbers (B/M) and removes dates for readability - Creates audit trail: MCP data → Analyzer reference → SWOT output Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>484a7a7 -
Layer 1: Add metric reference table to prevent LLM hallucination
- Add immutable metric reference table at top of analyzer prompts - Use exact 'as of' dates (e.g., 2024-09-28) instead of ambiguous FY labels - Store metric_reference dict and SHA256 hash in state for integrity verification - Include reference table in both initial and revision prompts - Instruct LLM to copy values verbatim, not round or estimate New functions: - _format_metric_for_reference(): Format single metric with as-of date - _generate_metric_reference_table(): Build numbered reference table - _compute_reference_hash(): SHA256 hash for integrity check - _verify_reference_integrity(): Verify dict hasn't been corrupted Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>d2df6b8 -
Fix: Increase rate limit delays and fix revision detection
1. Increase pre-call delays: 2s → 5s 2. Increase backoff times: 2s,4s,8s → 3s,6s,12s 3. Fix revision mode detection: check critique_details.status instead of revision_count (which was still 0 on first loop) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>efcfc92 -
Fix: Add rate limit handling with retry and delays
1. LLM client: Add exponential backoff retry on 429 errors - MAX_RETRIES=3, delays of 2s, 4s, 8s - New _request_with_retry() helper method 2. Critic: Add 2s delay before LLM call - Avoids hitting rate limit after Analyzer's call 3. Analyzer: Add 2s delay before revision LLM call - Avoids hitting rate limit after Critic's call This prevents 429 errors from cascading through the workflow. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>de66f3b -
Refactor: Analyzer handles revisions directly, remove Editor node
Architecture change: Researcher → Analyzer → Critic → Analyzer (revision loop) - Add conditional focus area blocks to Analyzer based on failed rubric criteria - Add _build_revision_prompt() for structured Critic feedback integration - Analyzer detects revision mode via revision_count > 0 and critique_details - Route "retry" from Critic back to Analyzer instead of Editor - Rename editor_skipped → analyzer_revision_skipped in conditions.py - Delete redundant src/nodes/editor.py - Update Critic to LLM-only weighted rubric evaluation - Update workflow version to 2.0 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>53fe655
-
Rename financials to fundamentals for schema consistency
- Update analyzer.py to use fundamentals_all instead of financials_all - Align with Researcher-Agent schema normalization changes Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>3e0da39
-
Fix analyzer.py to handle temporal dict format for margins
- Extract net_margin_pct, gross_margin_pct, operating_margin_pct as temporal dicts - Fix revenue_cagr_3yr field name (was revenue_cagr_3yr, source has revenue_growth_3yr) - Update formatting code to handle dict format for net_margin and debt_to_equity - Add fiscal period labels to margin and debt metrics in LLM prompt 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>19c947a -
Add temporal data (fiscal year, period) to financials display
Backend: - analyzer.py: Preserve fiscal year, period end date, form type from SEC EDGAR - workflow_store.py: add_metric() accepts temporal params (end_date, fiscal_year, form) Frontend: - types.ts: Add TemporalMetric interface for SEC EDGAR metrics - api.ts: Extend MetricEntry with temporal fields - MCPDataPanel.tsx: Display fiscal period labels (e.g., "FY 2023", "Q3 2024") with hover tooltip showing period end date 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>255d8a9 -
Fix LLM failure visibility and abort handling
- Update LLM status in real-time as providers fail (not just at end) - Log individual LLM provider failures to activity log - Mark "All LLM providers failed" as abort condition (not retryable error) - Move LLM status update before error check so frontend sees failures - Show "Aborted" button instead of "Failed-Retry" for LLM failures 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>fa01e42
-
Initial commit: Instant SWOT Agent
Multi-agent strategic analysis system with: - Research Gateway (A2A client to Researcher-Agent) - Analyzer, Critic, Editor workflow nodes - Data grounding enforcement in all LLM calls - React frontend with real-time progress 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>0c591a7