Centralized registry & lifecycle for autonomous agent fleets
Gain full inventory control over every AI agent running across your organization. Track versions, active environments, prompt templates, model configurations, and operational health in one centralized management hub.
from splyntra.fleet import register_agent
# Register agent metadata, version, and dependencies
agent = register_agent(
name="customer-support-v3",
version="3.4.1",
runtime="python-3.12 / langgraph-0.2",
models=["claude-3-5-sonnet-20241022", "text-embedding-3-small"],
tools=["zendesk-api", "postgres-readonly", "slack-webhook"],
environment="production"
)Engineered for high-throughput autonomous agents
Every capability is built into the OpenTelemetry streaming pipeline with sub-millisecond ingestion overhead.
Centralized Agent Inventory & Metadata
Discover and catalog every autonomous agent operating in production, staging, and development with complete owner attribution.
- ✓Track model dependencies, prompt versions, and connected tools
- ✓Owner attribution and team tagging for clear accountability
- ✓Automatic registration via SDK initialization or CI/CD pipelines
Version History & Rollback Controls
Track how agent behavior changes across prompt iterations, model upgrades, and graph architecture modifications.
- ✓Side-by-side behavioral comparison between agent releases
- ✓Correlate performance and cost spikes with specific code commits
- ✓Rapid rollback to previous verified agent versions
Fleet Health & Availability Probes
Monitor uptime, throughput, error rates, and resource utilization across your entire distributed multi-agent fleet.
- ✓Live heartbeat signals and deadlock detection for background agents
- ✓Automated quarantine of crashing or compromised agent instances
- ✓Centralized configuration management across distributed nodes
Frequently Asked Questions
How are agents registered in Splyntra?▼
Can I manage agents deployed across multiple cloud providers?▼
Related Platform Features & Guides
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