AI quality, cost, and event observability
SaaS environment The solution can be installed in the customer’s own or customer-controlled cloud or SaaS environment.
On-premises The solution can be installed in the customer’s local server or virtual environment.
Managed service We can handle the solution’s maintenance, updates, and technical administration.
JSP-AI-Observability™ tracks the quality, cost, and events of AI requests. It makes models and prompts, response times, errors, token usage, agent steps, and per-user or per-application usage visible.
Prompt versions, quality evaluations, tests, and the effects of production changes can be brought into one view. This helps organisations develop LLM applications in a controlled way, identify cost anomalies, and assess when an automation or agent result needs to be changed.
JSP-AI-Observability™ can be installed in the customer's own server, cloud, or SaaS environment. It can be deployed independently or as part of JSP-AI-Server™, where Langfuse is an optional component.
For organisations that want to automate recurring tasks, connect systems or use AI and machine translation.
When comparing options: JSP-AI-Observability™ follows LLM quality, costs, prompt versions, and evaluations. JSP-ApplicationMonitoring™ follows whole-application performance, errors, and traces.
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Name: Langfuse.
Development: Langfuse is an open-source AI engineering platform for LLM observability, evaluations, metrics, prompt management, datasets, and integrations including OpenTelemetry, the OpenAI SDK, and LiteLLM.
Info: Langfuse can be self-hosted in your own environment. Request tracing, cost models, evaluation methods, prompt versioning, and reporting views are matched to the models, applications, and privacy requirements in use.
Content of delivery: Delivery includes Langfuse installation, agreed application and model instrumentation, metrics, cost and quality views, prompt management practices, access controls, and documentation.
Price: We charge for onboarding, integrations, server resources, metric and reporting definition, and maintenance.
JSP-AI-Observability™ focuses on LLM requests, prompts, agents, quality, and cost. JSP-ApplicationMonitoring™ follows the technical performance of the whole application. Governance, approvals, auditability, and policies can be delivered through ConfidentialPath™. JSP-Agents™ provides agent workflows to observe.