This page provides details about helicone.ai (AI Tools) which was ranked #15 out of 162 in the list of sources (3 citations (1.5% share)) in answers from AI models (Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest) when they were asked the following 3 questions: "Which tools provide real-time AI monitoring and alerts?", "What are the top AI chat monitoring tools in 2025?", "How can I track AI chatbot responses across platforms?" on Dec 24, 2025 by AI Chat Watch. This source is referenced for brands: Helicone.
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| helicone.ai | 3 | 39.3 |
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Which tools provide real-time AI monitoring and alerts?
[...] ata drift and model performance alerts ## **LLM-Specific Monitoring** ### 5. **LangSmith (by LangChain)** [https://www.langchain.com/langsmith](https://www.langchain.com/langsmith) - Real-time LLM application monitoring - Trace-level debugging - Production alerts for LLM apps ### 6. **Helicone** [https://www.helicone.ai](https://www.helicone.ai) - Real-time LLM observability - Cost and latency monitoring - Custom alert configurations ### 7. **Weights & Biases** [https://wandb.ai](https://wandb.ai) - Real-time experiment tracking - Model performance alerts - System health monitoring ## **Enterprise ML Platforms** ### 8. **DataRobot** [h [...]
What are the top AI chat monitoring tools in 2025?
[...] labsai.com LLM chatbot guardrails and observability (monitor AI chatbot interactions, detect prompt injection, track quality, evaluations) - Langfuse — analytics, tracing, and evaluations for LLM apps: https://langfuse.com - Helicone — logging, metrics, and cost/latency monitoring for LLM traffic: https://www.helicone.ai - Guardrails AI — open-source guardrails and validation for LLM outputs: https://www.guardrailsai.com - Lakera Guard — LLM security and prompt-injection detection APIs: https://www.lakera.ai/guard - Humanloop — prompt management, evaluations, and workflow tooling: https://humanloop.com Useful comp [...]
How can I track AI chatbot responses across platforms?
[...] //mixpanel.com/) or Amplitude (https://amplitude.com/) 5) Add an LLM observability layer for prompt/response replay, comparisons, evals - Langfuse (open source/SaaS) (https://langfuse.com/) - LangSmith (LangChain) (https://www.langchain.com/langsmith) - Helicone (proxy-based logging/cost/latency) (https://www.helicone.ai/) 6) Build your dashboards and SLAs - Core metrics: messages per platform, latency, error rate, fallback/deflection rate, unresolved intents, CSAT/explicit feedback, safety flags, token/cost burn, tool-call success rate. - Dashboards in Kibana/Grafana/Metabase; cohort/funnel analysis in Mixpanel/Am [...]