geniable 2.6.0

Hybrid Local-Cloud QA Pipeline for LangSmith Thread Analysis

Geniable

Hybrid Local-Cloud QA Pipeline for LangSmith Thread Analysis

Geniable analyzes your LangSmith conversation threads for quality issues, performance problems, and errors—then creates tickets in Jira or Notion automatically.

Features

• Thread Analysis - Fetch and analyze threads from your LangSmith annotation queue
• Issue Detection - Identify performance, quality, security, and UX issues
• Ticket Creation - Create standardized issue tickets in Jira or Notion
• Claude Code Integration - Interactive analysis via /analyze-latest command
• CI/CD Support - Automated analysis for pipelines using Anthropic API
• State Tracking - Avoids reprocessing already-analyzed threads

---

Installation

pip install geniable

Requirements: Python 3.11+

---

Quick Start

1. Login

geni login

Authenticate with your email and password. Tokens are stored securely.

2. Initialize

geni init

Interactive wizard that configures:

• LangSmith API credentials and annotation queue
• Issue tracker (Jira, Notion, or none)
• Claude Code integration (optional)

3. Analyze

geni analyze-latest

Fetches unanalyzed threads and launches the Geni Analyzer for interactive analysis.

---

Commands

Authentication

Command	Description
geni login	Login to Geniable
geni logout	Logout and clear tokens
geni whoami	Show current user

Configuration

Command	Description
geni init	Interactive setup wizard
geni configure --show	Display current configuration
geni configure --validate	Test all service connections
geni configure --sync-secrets	Sync credentials to cloud

Analysis

Command	Description
geni analyze latest	Analyze latest threads from queue
geni analyze latest --limit 10	Analyze up to 10 threads
geni analyze latest --dry-run	Analyze without creating tickets
geni analyze latest --ci	Automated mode for CI/CD pipelines

Tickets

Command	Description
geni ticket create '<json>'	Create ticket from IssueCard JSON

Utilities

Command	Description
geni status	Show connection status
geni stats	Show processing history
geni clear-state	Reset processing state
geni --version	Show version

---

Configuration

Configuration is stored in ~/.geniable.yaml:

langsmith:
  api_key: "ls_..."
  project: "my-project"
  queue: "quality-review"

provider: "jira"  # or "notion" or "none"

jira:
  base_url: "https://company.atlassian.net"
  email: "[e-mail]"
  api_token: "..."
  project_key: "PROJ"
  issue_type: "Bug"

defaults:
  report_dir: "./reports"
  log_level: "INFO"

Environment Variables

Override any config value with environment variables:

export LANGSMITH_API_KEY="ls_..."
export JIRA_API_TOKEN="..."
export ANTHROPIC_API_KEY="sk-ant-..."  # Required for --ci mode

---

Claude Code Integration

Geniable integrates with Claude Code for interactive analysis.

Setup

During geni init, Geniable installs:

• Skill: .claude/commands/analyze-latest.md
• Agent: .claude/agents/Geni Analyzer.md
• Permissions: .claude/settings.local.json

Usage

In Claude Code, run:

/analyze-latest

The Geni Analyzer agent will:

1. Fetch unanalyzed threads from your LangSmith queue
2. Analyze each thread for issues (security, quality, performance, UX)
3. Generate potential solutions for each issue
4. Present findings and ask for ticket creation confirmation
5. Create tickets in Jira/Notion for approved issues

---

Usage Modes

Interactive Mode (Default)

geni analyze-latest

Launches Claude Code for real-time, interactive analysis. Best for development and debugging.

CI/CD Mode

export ANTHROPIC_API_KEY="sk-ant-..."
geni analyze-latest --ci

Automated analysis using Anthropic API directly. Best for scheduled pipelines.

Report-Only Mode

geni analyze-latest --dry-run

Generates reports without creating tickets. Best for previewing analysis.

---

Reports

Analysis reports are saved to ./reports/ (configurable):

reports/
├── processing_state.json          # Tracks processed threads
├── Thread-ProjectName-abc123.md   # Individual thread reports
└── analysis_report_20250125.md    # Batch analysis reports

---

Issue Detection

The analyzer identifies these issue types:

Category	Examples	Priority
Security	Data exposure, leaked internals, auth issues	Critical/High
Quality	Incomplete responses, hallucinations, poor UX	High
Performance	Slow response (>30s), high tokens (>50K)	High/Medium
Bug	Errors, exceptions, failures	High

---

Troubleshooting

"Authentication required"

geni login

"Configuration file not found"

geni init

Service validation failures

geni configure --validate

Reset processing state

To reprocess all threads:

geni clear-state -y

Debug mode

geni analyze-latest --verbose

---

Development

# Install dev dependencies
pip install -e ".[dev]"

# Quality checks
make lint        # Ruff linting
make format      # Black + isort
make typecheck   # Mypy

# Testing
make test        # All tests with coverage
make test-unit   # Unit tests only

---

Architecture

┌─────────────────────────────────────────────────────────────┐
│                       LOCAL (geniable/)                      │
│  CLI → Agent → API Clients → AWS Cloud Services             │
└─────────────────────┬───────────────────────────────────────┘
                      │ REST API + Cognito Auth
┌─────────────────────▼───────────────────────────────────────┐
│                    AWS CLOUD                                 │
│  ┌─────────────────────────┐   ┌──────────────────────────┐ │
│  │ Integration Service     │   │ Evaluation Service       │ │
│  │ • /threads/annotated    │   │ • /evaluations/discovery │ │
│  │ • /threads/{id}/details │   │ • /evaluations/execute   │ │
│  │ • /integrations/ticket  │   │                          │ │
│  └─────────────────────────┘   └──────────────────────────┘ │
│                                                              │
│  DynamoDB (state) + Secrets Manager (credentials)           │
└──────────────────────────────────────────────────────────────┘

---

License

MIT

---

Links

• Repository: https://github.com/mnedelko/geniable
• Issues: https://github.com/mnedelko/geniable/issues
• PyPI: https://pypi.org/project/geniable/