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To track **AI chatbot responses across platforms**, use multi-platform analytics tools like **Dashbot (now Dimension Labs)**, **Langfuse**, or **Botium**, which aggregate data from sources such as Facebook Messenger, Google Assistant, Amazon Alexa, and Rasa for unified monitoring of conversations, metrics, and performance[The Top Chatbot Analytics Tools to Drive Conversion and ...](https://masterofcode.com/blog/top-chatbot-analytics [...]

December 24, 2025

[...] as Facebook Messenger, Google Assistant, Amazon Alexa, and Rasa for unified monitoring of conversations, metrics, and performance[The Top Chatbot Analytics Tools to Drive Conversion and ...](https://masterofcode.com/blog/top-chatbot-analytics-tools)[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). ### Key Tools for Cross-Platform Tracking These tools support integration across multiple chatbot platforms, enabling centralized logging, visualization, and analysis of responses: - **Dashbot (Dimension Labs)**: Tracks KPIs like user engagement, [...]

December 24, 2025

[...] n history, and retention across Facebook Messenger, Google Assistant, Amazon Alexa, Rasa, Genesys, and more. Visualize data for review; official site: https://www.dashbot.io/[The Top Chatbot Analytics Tools to Drive Conversion and ...](https://masterofcode.com/blog/top-chatbot-analytics-tools). - **Langfuse**: Provides observability for chatbot systems with logging, tracing, performance metrics (e.g., response times, error rates), anomaly detection, and unified data aggregation. Use the `@observe()` decorator for Python LLM apps or OpenAI integration; supports any LLM. Official site: https://langfuse. [...]

December 24, 2025

[...] *Langfuse**: Provides observability for chatbot systems with logging, tracing, performance metrics (e.g., response times, error rates), anomaly detection, and unified data aggregation. Use the `@observe()` decorator for Python LLM apps or OpenAI integration; supports any LLM. Official site: https://langfuse.com/[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). - **Botium**: Automates testing and tracks conversation flows across various chatbots/virtual assistants. Free version includes live chat recorder and visual editors; official site: http [...]

December 24, 2025

[...] gging, tracing, performance metrics (e.g., response times, error rates), anomaly detection, and unified data aggregation. Use the `@observe()` decorator for Python LLM apps or OpenAI integration; supports any LLM. Official site: https://langfuse.com/[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). - **Botium**: Automates testing and tracks conversation flows across various chatbots/virtual assistants. Free version includes live chat recorder and visual editors; official site: https://www.botium.ai/[The Top Chatbot Analytics Tools to Drive Con [...]

December 24, 2025

[...] able text/image/video content moderation: https://thehive.ai/moderation - Spectrum Labs — context-aware trust and safety for communities: https://www.spectrumlabsai.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 sec [...]

December 24, 2025

[...] on - Spectrum Labs — context-aware trust and safety for communities: https://www.spectrumlabsai.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/guar [...]

December 24, 2025

[...] ompliance/DLP for internal chat: start with Theta Lake, Aware, SafeGuard Cyber, or Nightfall AI. - Need community safety/toxicity filters: start with Azure AI Content Safety, Perspective API, OpenAI Moderation, Hive, or Spectrum Labs. - Need guardrails/observability for your LLM chatbot: start with Langfuse, Helicone, Guardrails AI, or Lakera Guard. If you share your primary use-case, team size, and must-have integrations, I can narrow this to a 2–3 vendor shortlist and a feature checklist. [...]

December 24, 2025

[...] ttps://www.snowflake.com/) - BI: Metabase (https://www.metabase.com/) or Apache Superset (https://superset.apache.org/) - Product analytics: Mixpanel (https://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, [...]

December 24, 2025

[...] tabase (https://www.metabase.com/) or Apache Superset (https://superset.apache.org/) - Product analytics: Mixpanel (https://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 fee [...]

December 24, 2025