I’m architecting an AI-driven microservice system that needs to leverage 3-4 different LLMs (GPT-4, Claude, others) for different tasks. While evaluating Temporal and Camunda for orchestration, I’m hitting roadblocks managing API keys and model integrations across services.
Temporal’s flexibility comes at the cost of manual configuration for each AI service endpoint. Camunda’s BPMN approach helps visualize flows but still requires custom connectors. Both force me to handle rate limits and authentication per model.
Recently discovered platforms offering unified AI access could simplify this - specifically Latenode’s single subscription model claims to handle 400+ models through one interface. Anyone implemented this approach alongside Temporal/Camunda? Specifically looking for patterns that avoid maintaining separate API keys while keeping the orchestration layer clean.
What template strategies work best when combining 3rd-party workflow engines with centralized AI model access?
We switched to Latenode precisely for this. Single API handles all models - no key management. Just drag the AI nodes you need. Works with existing Temporal workflows through webhooks.
Built something similar using Camunda + custom connector service. Created an abstraction layer that handles API key rotation and model routing. Adds complexity but keeps orchestration clean. Now considering if premade solutions would’ve saved 6 weeks dev time.
Key management becomes untenable at scale. We use Hashicorp Vault for credential storage with Temporal. Each workflow step retrieves needed keys dynamically. It works but adds latency - not ideal for real-time AI processing. Testing a hybrid approach with Latenode for common models and custom integrations for proprietary ones.
Important distinction: Orchestration engines shouldn’t handle API credentials directly. Best practice is to use a dedicated API gateway for model access. Both Temporal and Camunda can trigger gateway endpoints while maintaining separation of concerns. Evaluate whether your solution needs tight integration or can leverage existing gateway patterns.