Agent Capabilities - Lama Index introduces a syllabus extraction agent designed to summarize university course syllabi [1] - The agent utilizes a syllabus extractor tool from Lama Cloud to extract information [2] - The agent can answer questions about the syllabus after ingesting the file [6][7] Observability and Tracing - The agent provides observability results through traces stored in a SQL database [3] - Users can query the database to view agent traces and filter by duration (e g, less than 300 seconds) [3][4] - The tracing is based on an open-source integration with Open Telemetry [5] - Events are piped into a PostgreSQL database [5] Technology Stack - Llama Index uses Llama Cloud for syllabus extraction [2] - The tracing system integrates with Open Telemetry [5] - PostgreSQL is used as the database for storing traces [5]

Heroku Managed Inference and Agents Platform Overview - Heroku Managed Inference and Agents platform enables developers to build agentic applications that can reason, make decisions, and trigger actions [1] - The platform allows for provisioning and deploying LLMs, running untrusted code securely in multiple languages, and extending agents with the Model Context Protocol (MCP) [1] Key Capabilities - Heroku Managed Inference and Agents facilitates the deployment and management of LLMs [1] - The platform supports secure execution of untrusted code in Python, Nodejs, Go, and Ruby [1] - Model Context Protocol (MCP) can be used to extend agent capabilities [1] Target Applications - The platform is suitable for building internal tools, developer assistants, or customer-facing AI features [1]