> ## Documentation Index > Fetch the complete documentation index at: https://dify-6c0370d8-agent-add-ai-credits-doc.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Logs > Browse and inspect your app's conversation and run logs, and configure log retention In the **Logs** tab of any app, see how it is actually used: what people asked or submitted, how the app responded, and what feedback came back. Chat-based apps (Chatbot, Chatflow, Agent) and Text Generator apps log conversations; Workflow apps log runs. ## What Gets Logged Logs capture real usage from every channel: the web app, the API, and apps opened from the **WEB APPS** list on **Home**. For Workflow apps, runs started by [triggers](/en/self-host/use-dify/nodes/trigger/overview) are logged too. End-user feedback (thumbs up/down and comments) is stored with the messages it refers to. Test sessions from the app editor are excluded for Chatflow and Workflow apps (**Preview** and **Test Run**). For other app types they are listed, under the team member's account. ## Browse Logs Each row is one conversation or one run. Most columns explain themselves, but a few deserve context: * **Title** is generated from the conversation's first message. * **End User or Account** shows a session ID for web app and API usage, or the team member's account for usage inside Dify. * **User Rate** counts end users' likes and dislikes; **Op. Rate** (operator rate) counts your team's. Both aggregate across the whole conversation. * **Trigger By** (Workflow apps) shows what started each run: * **WebApp**: The published web app, or a call through the API * **Webhook**: A webhook trigger receiving a request * **Schedule**: A schedule trigger reaching its scheduled time * **Integration**: An event from a connected integration To find a conversation, search words from its messages or the end user's session ID. To find a workflow run, search its inputs or outputs, or paste the run ID. ## Inspect a Conversation Click a row to open the full message thread. When you hover over an answer, you can: * See its token spend and latency. * Open the log behind it: the raw prompt, an Agent app's tool iterations, or a Chatflow message's node-by-node trace. * Rate the answer as team feedback; a dislike can carry a comment explaining what went wrong. Team ratings fill the **Op. Rate** column, separate from end-user feedback. * Add an annotation pairing the question with an improved reply. See [Annotation System](/en/self-host/use-dify/monitor/annotation-reply) for how annotated replies take effect. To share a log entry with a teammate, copy its link in your browser's address bar. ## Inspect a Run For Workflow apps, click a run to open its result, its inputs and outputs with status and token totals, and a node-by-node trace that pinpoints where a run failed or slowed down. To reproduce an issue, click **Test With Params**: the workflow re-runs in the editor with this run's inputs. Test With Params ## Log Retention Logs contain complete user conversations and may include sensitive information. Ensure your application complies with local data privacy regulations: publish a privacy policy and obtain user consent where required. Deleting conversations or cleaning up old logs does not erase the files uploaded in them. Logs are retained indefinitely by default. To clean up old logs on a schedule: * **Workflow run logs**: set `WORKFLOW_LOG_CLEANUP_ENABLED` to `true`, and `WORKFLOW_LOG_RETENTION_DAYS` to the number of days to keep (default 30). See [Workflow Log Cleanup](/en/self-host/deploy/configuration/environments#workflow-log-cleanup) for details. * **Conversation messages**: set `ENABLE_CLEAN_MESSAGES` to `true`, and `SANDBOX_EXPIRED_RECORDS_RETENTION_DAYS` to the number of days to keep (default 30). Cleanup runs as a scheduled daily task; nothing is deleted the moment you set the variables. Consider shorter retention windows for applications that handle sensitive data.