Proxy vs Temporal AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-19
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At a glance

DimensionProxyTemporal AI
Primary FunctionAI cost reduction & LLM proxyDurable execution & workflow orchestration
Key FeatureSmart model routing & anomaly detectionAutomatic state capture & replay
DeploymentLocal proxy (no cloud required)Self-hosted or Temporal Cloud
IntegrationsClaude Code, OpenClaw, Cursor, Aider, etc.OpenAI Agents SDK, Google ADK, Slack, etc.
Latest Newsv1.9.39: 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.

Try ProxyTry Temporal AI
Proxy
Proxy

Local LLM proxy that meters every agent request and caps runaway spend before the bill does.

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Temporal AI
Temporal AI

Durable execution platform that keeps AI agents and long-running workflows alive through crashes, retries, and abandoned sessions.

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Pricing
Freemium
Freemium
Plans
$0
$49/mo
$199/mo
$0 ($150 credits for 90 days)
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
CLIAPI
WebAPI
Categories
🚦 LLM Gateways & Model Routers
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Local LLM proxy on localhost:4100 with per-request metering
Routing by task class: simple, moderate, complex, elite
Per-agent model pinning via JSON config edit, no code changes
Per-run cost attribution via relayplane run --label across agents, threads, and retries
Per-agent cost tracking via system-prompt fingerprinting, no annotation
Local dashboard at localhost:4100 with per-model and per-agent spend
relayplane watch terminal cost ticker backed by local /v1/stats/live
Sliding-window anomaly detection for velocity spikes and repetition loops
Token-explosion guard that blocks the next call after a runaway thinking loop
Rolling daily, hourly, and per-request budget caps with 429 budget_exceeded
Configurable breach actions: block, downgrade, warn, alert
Kill switch: relayplane kill and relayplane resume
Credential pool with round-robin rotation and quarantine after 2 consecutive 401s
Quota-aware failover and circuit breaker before 429s cascade
Cache-aware accounting for Anthropic prompt caching; exportable SQLite request ledger
Durable execution captures Workflow state at every step with no checkpointing or recovery code
Native SDKs for Go, Java, Python, TypeScript, .NET, PHP, Ruby, and Rust
Activities retry automatically with backoff, four timeout classes, and heartbeating
Signals, Queries, and Updates read and mutate running Workflows mid-flight
Workflow Streams for real-time interactivity with running executions
Durable AI agents via OpenAI Agents SDK and Google ADK running LLM and tool calls as Activities
Standalone Activities as a durable job-queue pattern, GA across six SDKs (2026-09-15)
Serverless Workers for Google Cloud Run, public preview (2026-10-05)
Serverless Workers for AWS Bedrock AgentCore, pre-release (2026-09-18)
Native Task Queue priority and fair distribution without a custom queueing layer
Durable Timers that sleep for months; cron Schedules with backfill and Continue-As-New
Saga pattern via compensating transactions that read like try/catch
Worker Versioning pins Workflows to a version so deploys don't corrupt in-flight runs
Cloud UI Strict Session Mode: 15-minute inactivity timeout, 12-hour max session (GA)
Replay tests validate against real histories; time-skipping tests fast-forward long timers in CI
Integrations
Anthropic
OpenAI
Google Gemini
xAI Grok
Ollama
OpenRouter
Claude Code
Cursor
OpenClaw
Slack
Telegram
PagerDuty
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions
GCP Marketplace
Azure

What real users say: Proxy vs Temporal AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Proxy

105 mentions across 6 sources · 8% positive — critical (averaged across 6 sources)

Hacker News, Product Hunt, App Store, Bluesky, Stack Overflow, Lemmy

What users praise

  • • Open-source MIT license allows full code transparency and customization.
  • • Local proxy adds zero latency overhead (~6ms) and no cloud dependency.
  • • Smart model routing cuts API costs by assigning cheaper models to simple tasks.
  • • Multi-credential pool avoids rate limits by round-robining across keys.

What frustrates them

  • • No community feedback available to verify claimed features or reliability.
  • • Telemetry on by default may conflict with local-first privacy expectations.
  • • Response cache is exact-match only, limiting benefit for varied prompts.
  • • Dashboard requires localhost access; no cloud monitoring option.

Researched Jul 6, 2026

Temporal AI

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Temporal AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • AI agent developer needing crash recovery
    Pick: Temporal AI

    Temporal's durable execution ensures agents resume after failures without losing state.

  • Cost-conscious Claude Code user
    Pick: Proxy

    Proxy slashes costs via smart routing and budget caps, with live cost visibility.

  • SaaS platform managing multi-tenant workflows
    Pick: 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 budgets
    Pick: 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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Explore each tool further

Proxy
View Proxy reviewProxy alternatives
Temporal AI
View Temporal AI reviewTemporal AI alternatives

Browse these categories

Best AI LLM Gateways & Model Routers toolsBest AI Agent Frameworks & Orchestration toolsBest AI Developer Infrastructure tools
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Last reviewed: July 3, 2026