Skip to main content

Hybrid Local-Cloud QA Pipeline for LangSmith Thread Analysis

Project description

Geniable

Framework agnostic agentic project-configuration wizard and 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: "user@company.com"
  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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geniable-2.12.5.tar.gz (153.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

geniable-2.12.5-py3-none-any.whl (171.4 kB view details)

Uploaded Python 3

File details

Details for the file geniable-2.12.5.tar.gz.

File metadata

  • Download URL: geniable-2.12.5.tar.gz
  • Upload date:
  • Size: 153.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for geniable-2.12.5.tar.gz
Algorithm Hash digest
SHA256 37f60287b284baefa983fcd3d4a077b94b40198ccf0c09577e2af0edfa70348a
MD5 134191d1a6fd889d54bd540f1c57112f
BLAKE2b-256 624489dea89339024bc6d93691b95cd7d3384a4bd735747592dbfc6b5615685b

See more details on using hashes here.

File details

Details for the file geniable-2.12.5-py3-none-any.whl.

File metadata

  • Download URL: geniable-2.12.5-py3-none-any.whl
  • Upload date:
  • Size: 171.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for geniable-2.12.5-py3-none-any.whl
Algorithm Hash digest
SHA256 d82ea55f5a2d50bbb5434cffffad6de63c0df72304a306869da468a209af9f09
MD5 ecb179d155320b6517afb99252e8f99f
BLAKE2b-256 58271057d9c91c22115e7561840287b6d1127372aab0d6a00de365410da03e96

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page