snipara-orchestrator 0.1.0

Production-first agentic orchestrator with Snipara integration for context-aware validation

Snipara Orchestrator

Production-first agentic orchestrator with Snipara integration for context-aware validation.

Overview

Snipara Orchestrator implements the prod-first validation pattern for AI agents. It ensures that no task is marked "done" until it passes live production checks.

Key Features:

• Production-first validation - Tasks aren't done until live_check passes
• Proof-based verification - Standard proof contract (endpoint, user, result)
• Single gatekeeper - One authority for validation decisions
• Automatic cutover checklists - Generated and executed automatically
• Fail-fast on drift - Stops if route/schema drift detected
• Snipara integration - Context-aware with memory persistence

Installation

pip install snipara-orchestrator

Or with all optional dependencies:

pip install snipara-orchestrator[all]

Quick Start

CLI Usage

# Initialize configuration
snipara-orchestrator init --project my-project --prod-url https://api.example.com

# Run a validation task
snipara-orchestrator run "Deploy Auth Feature" \
  --test "pnpm test" \
  --test "pnpm lint" \
  --endpoint "https://api.example.com/health" \
  --endpoint "https://api.example.com/api/auth/session" \
  --required-proofs 3

# Check for environment drift
snipara-orchestrator check-drift --route /api/users --route /api/auth

# Validate a single endpoint
snipara-orchestrator validate https://api.example.com/health

# Recall memories from previous sessions
snipara-orchestrator recall "deployment failures" --limit 5

# Store a memory
snipara-orchestrator remember "Chose Redis for rate limiting" --type decision

Python API

import asyncio
from snipara_orchestrator import Orchestrator, Task, ValidationCriteria
from snipara_orchestrator.models import LiveCheck, OrchestratorConfig

async def main():
    # Configuration
    config = OrchestratorConfig(
        snipara_api_key="rlm_your_api_key",
        snipara_project="my-project",
        prod_url="https://api.example.com",
        repo_path="/path/to/repo",
        test_user="[e-mail]",
    )

    # Create orchestrator
    orchestrator = Orchestrator(config)
    await orchestrator.initialize()

    # Define task with validation criteria
    task = Task(
        id="deploy-auth",
        title="Deploy Authentication Feature",
        description="Deploy OAuth2 authentication to production",
        criteria=ValidationCriteria(
            local_tests=["pnpm test", "pnpm lint"],
            live_checks=[
                LiveCheck(url="https://api.example.com/health"),
                LiveCheck(
                    url="https://api.example.com/api/auth/login",
                    method="POST",
                    expected_status=200,
                    body={"email": "[e-mail]", "password": "test"},
                ),
            ],
            required_proofs=3,
        ),
    )

    # Execute the task
    result = await orchestrator.execute_task(task)

    print(f"Status: {result.status.value}")
    print(f"Proofs: {len(result.passing_proofs())}/{len(result.proofs)}")

asyncio.run(main())

Task Lifecycle

PENDING → IN_PROGRESS → LOCAL_OK → VALIDATING → PROD_OK → DONE
                             ↓           ↓
                         LOCAL_FAIL   PROD_FAIL → ENV_DRIFT?

Status	Description
PENDING	Task created, not started
IN_PROGRESS	Executing local tests
LOCAL_OK	Local tests passed
LOCAL_FAIL	Local tests failed
VALIDATING	Running production checks
PROD_OK	All production checks passed
PROD_FAIL	Production checks failed
ENV_DRIFT	Environment drift detected
DONE	Task completed successfully

Proof Contract

Every validation produces a proof with three required fields:

@dataclass
class Proof:
    endpoint: str      # URL or test identifier
    user_tested: str   # Test user email
    result: str        # "pass" or "fail"

    # Optional
    response_code: int
    response_body: dict
    error_message: str

Tasks require a minimum number of passing proofs (default: 3) to reach PROD_OK.

Configuration

Create .snipara-orchestrator.json in your project root:

{
  "snipara_api_key": "rlm_your_api_key",
  "snipara_project": "my-project",
  "prod_url": "https://api.example.com",
  "repo_path": "/path/to/repo",
  "test_user": "[e-mail]",
  "fail_fast_on_drift": true,
  "auto_remember": true,
  "verbose": true
}

Or use environment variables:

export SNIPARA_API_KEY=rlm_your_api_key
export SNIPARA_PROJECT=my-project
export PROD_URL=https://api.example.com
export REPO_PATH=/path/to/repo

Snipara Integration

The orchestrator uses Snipara for:

Context Retrieval

# Get relevant documentation
context = await orchestrator.snipara.query_context(
    query="deployment checklist production",
    max_tokens=6000,
)

Memory Persistence

# Remember decisions
await orchestrator.snipara.remember(
    content="Chose Redis for rate limiting due to distributed nature",
    type="decision",
    category="architecture",
    ttl_days=30,
)

# Recall previous context
memories = await orchestrator.snipara.recall(
    query="deployment failures",
    limit=5,
)

Multi-Agent Coordination

# Create a swarm
swarm = await orchestrator.snipara.create_swarm(
    name="deployment-coordination",
    description="Multi-agent deployment workflow",
)

# Store shared state
await orchestrator.snipara.set_state(
    swarm_id=swarm["swarm_id"],
    agent_id="coordinator",
    key="deployment_status",
    value={"phase": "validating", "progress": 75},
)

Components

Gatekeeper

Single authority for validation decisions:

from snipara_orchestrator.gates import Gatekeeper

gatekeeper = Gatekeeper(
    snipara=snipara_client,
    validator=validator,
    drift_detector=drift_detector,
    fail_fast_on_drift=True,
)

# Gate 1: LOCAL_OK → VALIDATING
result = await gatekeeper.gate_local_to_validation(task)

# Gate 2: VALIDATING → PROD_OK
result = await gatekeeper.gate_validation_to_prod(task)

Drift Detector

Detect environment drift:

from snipara_orchestrator.drift_detector import DriftDetector

detector = DriftDetector(
    prod_url="https://api.example.com",
    repo_path="/path/to/repo",
)

report = await detector.full_drift_check(
    routes=["/api/users", "/api/auth"],
    check_schema=True,
    check_health=True,
)

if report.has_drift:
    print(f"Issues: {report.issues}")
    print(f"Recommendations: {report.recommendations}")

Validator

Collect proofs from live checks:

from snipara_orchestrator.validator import Validator
from snipara_orchestrator.models import LiveCheck

validator = Validator(test_user="[e-mail]")

proof = await validator.run_live_check(
    LiveCheck(
        url="https://api.example.com/health",
        expected_status=200,
    )
)

print(f"Result: {proof.result}")
print(f"Status: {proof.response_code}")

Executor

Run commands and tests:

from snipara_orchestrator.executor import Executor

executor = Executor(working_dir="/path/to/repo")

result = await executor.run_command("pnpm test")
print(f"Success: {result.success}")
print(f"Output: {result.stdout}")

Architecture

┌─────────────────────────────────────────────────────────────────┐
│                        ORCHESTRATOR                             │
│                                                                 │
│  ┌──────────────────────────────────────────────────────────┐  │
│  │  SNIPARA (Context Layer)                                 │  │
│  │  • rlm_context_query → Documentation context             │  │
│  │  • rlm_remember/recall → Memory persistence              │  │
│  │  • rlm_swarm_* → Multi-agent coordination                │  │
│  └──────────────────────────────────────────────────────────┘  │
│                              │                                  │
│                              ▼                                  │
│  ┌──────────────────────────────────────────────────────────┐  │
│  │  GATEKEEPER (Single Authority)                           │  │
│  │  • gate_local_to_validation() → LOCAL_OK → VALIDATING    │  │
│  │  • gate_validation_to_prod() → VALIDATING → PROD_OK      │  │
│  │  • generate_cutover_checklist() → Auto checklist         │  │
│  └──────────────────────────────────────────────────────────┘  │
│                              │                                  │
│        ┌─────────────────────┼─────────────────────┐           │
│        ▼                     ▼                     ▼           │
│  ┌───────────┐        ┌───────────┐        ┌───────────┐       │
│  │ EXECUTOR  │        │ VALIDATOR │        │ DRIFT     │       │
│  │ • Tests   │        │ • Live    │        │ DETECTOR  │       │
│  │ • Deploy  │        │ • UI      │        │ • Routes  │       │
│  │ • Bash    │        │ • Proofs  │        │ • Schema  │       │
│  └───────────┘        └───────────┘        └───────────┘       │
└─────────────────────────────────────────────────────────────────┘

Snipara Ecosystem

Package	Install	Purpose
snipara-mcp	pip install snipara-mcp	MCP client for context optimization
snipara-orchestrator	pip install snipara-orchestrator	Production validation orchestrator
rlm-runtime	pip install rlm-runtime	Safe code execution runtime

Best Practices

1. Always define validation criteria - Don't rely on defaults
2. Use meaningful test users - Helps with debugging
3. Set appropriate proof requirements - 3 is a good minimum
4. Enable fail-fast on drift - Catch issues early
5. Use auto-remember - Preserve learnings across sessions
6. Check drift before deployment - Run snipara-orchestrator check-drift

Documentation

• Full Documentation
• API Reference
• Examples

License

MIT

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Built with ❤️ by Snipara