Activity Logs
Complete audit trail of all agent interactions in a comprehensive table view:
- Thread Overview - View all conversation threads with their original prompts
- Generated Query History - See the exact SQL queries generated by agents for each request
- Execution Metadata - Track database targets, agent types, and verification status
- Chronological Display - All activities shown by creation date for easy review
Enhanced Retrieval Accuracy (Early Preview)
Note: This is an early preview feature and may encounter some edge cases during initial use
Improve workflow and agent retrieval accuracy by specifying include and exclude keys in the retrieval configuration:
retrieval.include- Prompts that should trigger this workflow or agentretrieval.exclude- Prompts that should not trigger this workflow or agent. For example, if prompting "Create annual user report" is erroneously triggering theactive_usersworkflow, add it as an entry under theexcludekey
Below is an example of how retrieval.include and retrieval.exclude can be utilized:
name: active_users
description: |
This workflow generates a report on active users.
retrieval:
include:
- "Create monthly report for active users"
exclude:
- "Create annual user report"
variables:
month: "{{ dimensions.month }}"
platform: "{{ dimensions.platform }}"
tasks:
- name: query_data
type: execute_sql
database: local
sql_query: |
SELECT * FROM monthly_active_user_by_platform.csv
WHERE month = '{{ month }}' AND platform = '{{ platform }}'
- name: report
type: agent
agent_ref: agents/local.agent.yml
prompt: |
Generate a report on active users based on the provided data.
The data includes user activity and their last login date.
[BEGIN DATA]
{{ query_data }}
[END DATA]
- Then generate a concise report using the following template:
Total active users: <total_active_users>
Active users by organization: <active_users_by_organization>
Analysis: <compare the activity levels of different organizations>
- Analysis should focus on the activity levels without further judgment.
Enhanced Agent Preview Panel
Significantly improved preview experience for agent development:
- Artifact Support - Preview panel now fully supports artifact generation and display
- Rich Artifact Viewing - Interactive artifact experience directly within the agent preview
Bug Fixes & Improvements
Improved error handling when agents fail to answer questions, enhanced logging for better diagnostics, and minor footer UI updates for better visibility
