# History ## Description The History panel records every conversation between an agent and its learners. Superadministrators can review transcripts, apply filters (date, sentiment, topic, category), and export data for deeper analysis—revealing learning trends, common pain points, and opportunities to improve both course content and agent behavior. ![](/images/history.png) --- ## Target Audience **Superadministrator** --- ## Features #### Complete Chat Log View every session the agent has had, with user identifiers or **Anonymous** labels if the agent is set to anonymous. #### Transcript Viewer Click any session to open the full **learner question and agent response** thread. #### Multi‑Facet Filters Narrow results by **Date Range**, **Sentiment**, **Topic**, or **Category** to focus your review. #### CSV Export Download **filtered or full histories** for analysis in spreadsheets or BI tools. #### Insight Generation Identify **frequent questions**, **learning gaps**, and **tone alignment** to guide prompt tweaks or additional training materials. --- ## How to Use (step by step) #### Open the History Panel - Sign in to **Agentic OS** - Click the **agent’s name dropdown** - Select **History** #### Review the History List - See every chat session plus **user identifiers** (name, username, email, or Anonymous) #### Inspect an Individual Chat - Click a session in the left‑hand list - The full **transcript** appears, showing the learner’s questions and agent’s responses #### Apply Filters - **Date Range** – limit to a semester, week, or custom period - **Sentiment** – isolate positive or negative reactions - **Topic** – focus on specific subjects - **Category** – filter by predefined learner categories #### Export Conversations - Click **Export** - A **CSV** downloads containing the visible (filtered) data for off‑platform analysis --- ## Pedagogical Use Cases #### Identify Learning Gaps Filter by **negative sentiment** or **repeated questions** to spot concepts that confuse learners. #### Refine Course Materials High‑frequency topics may indicate areas needing **clearer explanations** or **additional resources**. #### Assess Agent Tone & Style Review transcripts to ensure the agent’s language aligns with **institutional guidelines** and **learner expectations**. #### Prompt & Dataset Optimization Use findings to tweak the **system prompt** or add new **datasets** that address common queries. #### Accreditation & Quality Assurance Exported histories provide evidence of **learner support** and **instructional effectiveness**. --- By accessing, filtering, and exporting chat histories, superadministrators gain **actionable insights** to continuously improve both the **Agentic OS** and the **educational experience** it supports.