Proxy vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Proxy | Temporal AI |
|---|---|---|
| Pricing | Free open-source (self-hosted, no usage fees) | Free self-hosted / Usage-based cloud (starts at $0.01 per action) |
| Primary Function | AI cost reduction & LLM proxy | Durable execution & workflow orchestration |
| Key Feature | Smart model routing & anomaly detection | Automatic state capture & replay |
| Deployment | Local proxy (no cloud required) | Self-hosted or Temporal Cloud |
| Integrations | Claude Code, OpenClaw, Cursor, Aider, etc. | OpenAI Agents SDK, Google ADK, Slack, etc. |
| Latest News | v1.9.39: Live cost ticker shipped (May 2026) | Usage-based billing now GA (Jun 2026) |
Temporal AI and Proxy serve completely different needs: Temporal is for building resilient, long-running workflows that survive failures, while Proxy slashes LLM API costs via smart routing and budget caps. Choose Temporal if you need durable AI agent pipelines; choose Proxy if your primary pain point is runaway LLM costs.
Open-source AI agent proxy that routes each request to the cheapest suitable model, cutting API costs up to 90%.
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Durable execution platform keeping AI agents and workflows running through failures with automatic state capture and retries.
Visit WebsiteWho should pick which
- AI agent developer needing crash recoveryPick: Temporal AI
Temporal's durable execution ensures agents resume after failures without losing state.
- Cost-conscious Claude Code userPick: Proxy
Proxy slashes costs via smart routing and budget caps, with live cost visibility.
- SaaS platform managing multi-tenant workflowsPick: Temporal AI
Temporal's workflow orchestration and human-in-the-loop features suit multi-step business processes.
- Developer with multiple LLM agents needing per-agent budgetsPick: Proxy
Proxy's hard budget caps and anomaly detection prevent runaway costs per agent/tenant.
Frequently Asked Questions
Proxy vs Temporal AI: which should you choose?
Temporal AI and Proxy serve completely different needs: Temporal is for building resilient, long-running workflows that survive failures, while Proxy slashes LLM API costs via smart routing and budget caps. Choose Temporal if you need durable AI agent pipelines; choose Proxy if your primary pain point is runaway LLM costs.
Can Temporal AI replace Proxy for cost management?
No, Temporal focuses on reliability, not cost optimization. Proxy is specifically designed to reduce LLM API costs.
Can Proxy orchestrate workflows like Temporal?
No, Proxy is an LLM proxy for routing and cost control. It does not provide durable execution or workflow state management.
Do I need to change my code to use Proxy?
No, just set ANTHROPIC_BASE_URL=http://localhost:4100 to route traffic, no code changes needed.
Is Temporal AI only for AI agents?
No, it's a general-purpose durable execution platform for microservices, long-running processes, and human-in-the-loop workflows.
What does 'durable execution' mean?
It means workflows automatically save state after each step, so if the server crashes, they resume from the last checkpoint without lost progress.
Does Proxy support Anthropic's new per-token billing?
Yes, Proxy is recommended for teams using Claude Code to cap costs under the new per-token billing model.
Which integrations are most notable for Temporal?
Recent integrations include OpenAI Agents SDK and Google ADK, plus Slack, Twilio, and Docker.
Can Proxy detect anomalies like token explosions?
Yes, Proxy uses a sliding 100-request window to detect velocity spikes, token explosions, and repetition loops.
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Last reviewed: July 3, 2026