Commit Graph

9 Commits

Author SHA1 Message Date
chaim 3fa0775ffe feat(legal-aid): add /api/legal-aid/parse-pdf-report endpoint
Ports the pdfplumber-based parser from the (currently inactive) n8n
workflow legal-aid-report-ingest.json so EspoCRM's GreenInvoiceBilling
extension can do manual upload + dry-run preview of monthly Legal Aid
payment reports without depending on n8n being live.

Auth: X-Api-Key (matches admin_kb pattern).
Response shape: same JSON the existing LegalAidPaymentReportService
ingest pipeline expects, so the EspoCRM controller can hand it
straight back to ::ingest($payload, $pdf, dryRun=true).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 10:56:25 +00:00
chaim 9cbf1ab367 feat: bump to 0.3.0, single-source version, Voyage retry/backoff
- pyproject.toml -> 0.3.0 (significant changes since 0.2.0:
  full Phase 1-7 KB stack, classifier+labels, batch-upload UI,
  pending-review panel, bucket rename to legal-kb)
- api/__init__.py reads version from pyproject at import time so
  /api/health and OpenAPI both reflect reality without a second
  hardcoded copy
- api/services/kb/voyage.py: _post_with_retry wraps embed/rerank
  POSTs with exponential backoff on 429+5xx (max 5 retries, base
  2s, capped 30s, +25% jitter, honors Retry-After header). Dev and
  prod share a single VOYAGE_API_KEY today, so a simultaneous bulk
  re-ingest on both used to fail half the calls; now the burst is
  absorbed in seconds.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 21:55:47 +00:00
chaim 83a3f63a37 feat(kb): bulk-fetch תקנות הביטוח הלאומי from Wikisource
Extends scripts/fetch_national_insurance_law.py with a --regulations mode
that pulls all canonical (non-redirect) תקנות הביטוח הלאומי pages from the
MediaWiki API and writes <slug>.txt + <slug>.txt.meta.json pairs ready for
the existing scan-inbox cron.

Used to seed the live insurance KB with 92 regulations (~1,500 chunks,
~22MB Postgres) on dev. Wikisource's redirect graph dedups spelling
variants (קיצבה/קצבה, etc.) for free.

Bumps version to 0.2.0.

Refs Task Master #3

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 20:43:31 +00:00
chaim 9edcb58c93 feat(kb): Phase 1 — Israeli National Insurance knowledge base
Adds a searchable KB for חוק הביטוח הלאומי, תקנות הביטוח הלאומי, and חוזרי
הביטוח הלאומי. Hybrid search (pgvector cosine + tsvector/trgm) fused with
Reciprocal Rank Fusion, exposed to Shira as the `search_insurance_kb` tool.

- api/services/kb/: asyncpg pool, Voyage voyage-multilingual-2 client,
  per-kind chunker (statute-by-section / circular header-aware), ingest
  pipeline with supersession (old source → superseded_by), hybrid search.
- api/routes/admin_kb.py: POST /admin/kb/ingest (multipart), GET /admin/kb/stats.
- mcp_server/tools/legal_kb_tools.py: `search_insurance_kb` registered under
  the `legal` toolset.
- pyproject.toml: +asyncpg, +python-docx, +boto3, +python-multipart.

Infra (external): pgvector/pgvector:pg16 on the shared PG, insurance_kb DB
with hnsw + gin indexes, MinIO bucket insurance-kb, KB_DATABASE_URL in
Infisical /espocrm, VOYAGE_API_KEY/VOYAGE_MODEL/KB_DATABASE_URL on the
shira-hermes Coolify app.

Refs Task Master #2

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 14:36:09 +00:00
chaim 51c76c1cf9 feat: Claude Vision OCR fallback for unreadable documents
When the CRM's readDocument returns success:false (scanned PDFs,
image-only DOCX, corrupted files), shira-hermes now:

1. Fetches the raw file bytes via new getDocumentBytes endpoint
2. Sends them to Claude Vision through ai-gateway:
   - Images (PNG/JPG/TIFF/etc): direct vision call
   - PDFs: render each page at 180 DPI via PyMuPDF, vision call per page
   - DOCX: extract images from word/media/, vision call per image

New tool: read_document_ocr (explicit OCR request)
Existing tool read_document auto-falls-back to OCR on extraction failure.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-19 11:37:51 +00:00
chaim 40877d83d2 fix: add hatch build config for pip install from pyproject.toml
Hatchling couldn't find the package directory (expected shira_hermes/).
Added [tool.hatch.build.targets.wheel] packages to include api/ and
mcp_server/ directories.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 20:23:02 +00:00
chaim e947bca655 fix: code audit — security, correctness, and robustness fixes
Security:
- Path traversal: validate user_id, case_id, skill_name against safe regex
- Input sanitization in memory.py and skills.py file path construction

Correctness:
- ISR timezone: replace hardcoded UTC+3 with ZoneInfo("Asia/Jerusalem") for DST
- save_rule: use EspoCrmApiError.status_code instead of fragile string matching
- Background tasks: store references to prevent GC before completion
- Lock race: use dict.setdefault() for atomic lock creation
- Version: health.py now matches main.py (0.2.0)
- Skill names: normalized to lowercase for dedup consistency

Build:
- Dockerfile: install from pyproject.toml instead of hardcoded pip list
- Remove unused mcp>=1.0.0 dependency from pyproject.toml

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 20:18:01 +00:00
chaim 4aad81e11e feat: add skills, memory, delegation and self-learning (Phase 3)
Add three Hermes-inspired capabilities to Shira:

- Skills system: firm-wide workflow templates (list/view/manage tools),
  4 pre-seeded skills (case summary, hearing prep, direct access report,
  deadline tracker), auto-learning via post-conversation meta-prompt
- Cross-conversation memory: per-lawyer profiles and per-case memory
  stored as bounded markdown files, injected into system prompts
- Sub-agent delegation: spawn up to 3 child AgentRunner instances for
  parallel document analysis and complex multi-step tasks

New files: skills.py, memory.py, delegate.py, learner.py, 4 SKILL.md
Updated: agent_runner (6 new tools, depth/blocked_tools support),
prompt_builder (skills/memory injection), route (memory loading,
background learning), main.py (data dirs), Dockerfile (pyyaml, skills)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 19:33:57 +00:00
chaim 6f7b94d6f8 feat: initial shira-hermes service
Shira AI backend using OpenAI-compatible agent with tool-calling loop,
replacing the smart-assistant route in ai-gateway.

Components:
- FastAPI adapter (same HTTP contract as ai-gateway)
- Agent runner with agentic tool-calling loop via ai-gateway /v1/chat/completions
- EspoCRM REST API client
- 20 MCP tools (CRM, documents, legal assistance)
- Prompt builder ported from ai-gateway JS to Python
- SOUL.md personality definition
- Dockerfile for Coolify deployment

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 17:29:35 +00:00