AgentWach vs Helicone

Helicone tracks LLM requests. AgentWach adds agent loop detection and hard stops.

Helicone is a great drop-in proxy for logging LLM requests and analyzing latency or cost per call. AgentWach treats agents as first-class objects — it groups tool calls, detects loops between them, and enforces hard budget stops across providers.

Where Helicone shines

  • One-line proxy install for OpenAI-compatible APIs.
  • Fine-grained request logs with cache and retry handling.
  • Cost breakdowns per user, prompt, or model.
  • Useful for backend engineers who want pure request-level observability.

Where AgentWach wins

  • Agent-first data model: events grouped by agent, run, and tool call.
  • Loop detection — flags repeated tool-call patterns and stops the agent.
  • Hard budget caps enforced via stop=true, not just alerts.
  • GitHub Copilot premium-credit tracking alongside API spend.
  • Multi-channel alerting (Slack, Discord, PagerDuty, SMS, webhook).

Feature comparison

FeatureAgentWachHelicone
Real-time token & cost tracking Yes Yes
Cross-provider rollup (OpenAI, Anthropic, Gemini, Copilot) YesOpenAI-compatible proxy
GitHub Copilot premium-request credit tracking Yes No
Hard budget caps that stop agents mid-run
Returns stop=true on the next ingest call.
Yes No
Tool-call loop detection Yes No
Prompt-injection scanner (heuristic, 20+ rules) Yes No
Slack / Discord / PagerDuty / SMS alerts YesEmail/Slack only
Tracing & evaluation toolingReplay + diagnoseRequest-level
Browser extension (ChatGPT / Claude / Gemini capture) Yes No
Free tier Yes Yes

The bottom line

If you only need raw LLM request logs, Helicone is fast to install. If you're running agents — anything with planners, tools, or sub-agents — AgentWach is the layer that actually stops them when they go sideways.