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klanex
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About klanex
klanex acts as an asynchronous execution layer positioned between LLM agents and production APIs. It receives tool-use intents from agents and returns execution IDs in milliseconds, handling retries, backoff, approvals, credential management, and audit trails. The system validates payloads against JSON schemas, rejecting invalid requests with correction hints for the agent. Valid intents are queued and executed by isolated workers using per-host circuit breakers, timeouts, and exponential backoff for rate limits and server errors. Execution outcomes are reported via HMAC-signed webhooks or API polling, with full history retained for compliance and replay. Credentials are encrypted with Cloud KMS and only decrypted in worker memory during execution, never exposed in logs or agent contexts. The platform supports human-in-the-loop approvals for destructive operations, idempotency keys to prevent duplicate actions, and bulk replay of failed executions without re-prompting the LLM.
Key features
- JSON schema validation with self-correction hints
- Exponential backoff and per-host circuit breakers
- Idempotency keys to prevent duplicate operations
- HMAC-signed webhooks with replay protection
- Slack integration for human approvals
- Jira integration for automatic ticket creation
- Bulk replay of failed executions
- Per-tenant rate limiting
Use cases
- Processing payments through Stripe with automatic retry on rate limits
- Executing refunds with human approval for destructive actions
- Sending notifications via third-party APIs with guaranteed delivery
Pros
- Validates payloads against JSON schema with instant rejection and correction hints
- Handles retries, backoff, and circuit breaking automatically for unreliable APIs
- Stores credentials in encrypted vaults with decryption only during execution
- Provides full audit trails and HMAC-signed webhooks for compliance
- Supports human approvals via Slack and automatic ticket creation in Jira
Cons
- Requires API key management and setup
- Production use requires durable account creation
- Sandbox keys expire after 7 days in test mode
Frequently asked questions about klanex
What is klanex and what problem does it solve?
klanex acts as an asynchronous execution layer between LLM agents and production APIs, handling retries, backoff, approvals, credential management, and audit trails to prevent workflow crashes from issues like hallucinated JSON keys or rate limits.
Who should use klanex?
Teams building agentic AI workflows that interact with production APIs, especially those requiring reliability, compliance, and human oversight for destructive operations.
How does klanex handle credentials securely?
Credentials are encrypted with Cloud KMS upon arrival and only decrypted in worker memory during execution, never exposed in logs or agent contexts.
Can klanex integrate with existing tools like Slack or Jira?
Yes, klanex supports Slack for human-in-the-loop approvals and Jira for automatic ticket creation on terminal failures, with signed webhooks for other integrations.
What happens if an agent sends an invalid payload?
Invalid payloads are rejected in milliseconds with a correction hint for the agent to fix itself, preventing API errors from disrupting the workflow.
How do I get started with klanex?
Grab a free sandbox key with a single command, wire klanex into your agent as MCP tools, and begin executing intents with built-in reliability and audit features.
