Bits Agent Builder
AI agent · Workflow / back-office agent · Operations & supply chain by Datadog
Build custom AI agents for unique operational workflows within Datadog.
Bits Agent Builder is a tool within the Datadog platform that allows IT operations, SRE, and development teams to create custom AI agents for operational workflows. These agents can automate incident response, generate custom reports, and remediate issues by breaking down goals into tasks and utilizing Datadog
Agent specs
- What it does
- Bits Agent Builder allows users to create and deploy custom AI agents that automate complex operational tasks and reporting within the Datadog platform.
- For
- Teams managing operational workflows and incident response.
- Actions
- Automate high-value workflows like incident response and custom reporting
- Autonomy
- Acts on its own
- Monthly bundle
- $500 per 500 credits
- On-demand
- $1.30 per credit
- Per run
- ~1 credit per manual or autonomous run
- Availability
- Generally available via AI Credits on the Datadog platform (unavailable on US-FED site).
- Price
- From 500 USD per month (billed annually)
- Languages
- English
Category: AI Agents
- Deployment
- Cloud
- Integrations
- Jira, Linear, Slack, PagerDuty
- Channels
- Slack, In-app
- Execution Modes
- Manual or Autonomous
- Credit Consumption
- ~1 credit per run
- Build custom AI agents for incident response and reporting
- Manual or autonomous execution of operational workflows
- Integrates with Datadog telemetry, logs, and traces
- Consumes approximately 1 AI credit per run
Capabilities
- Autonomous Execution: Agents can be configured to run manually or autonomously to perform scheduled or triggered tasks.
- Goal-Driven Planning: The builder allows teams to define specific goals and tasks for agents to execute using available tools.
- Telemetry Integration: Custom agents integrate with existing Datadog telemetry and tools to inform their decision-making process.
- Natural Language Interaction: Users can search and analyze telemetry, create dashboards, and inspect monitors using natural language.
- Skills Library: The platform provides a skills library including MCP, API, and CLI tools for agent capabilities.
- Trace-Driven Improvement: Teams can improve agents by using traces to provide context for AI-assisted generation and debugging.
- Remediation Capabilities: The builder supports creating agents that can remediate issues and apply fixes autonomously.
What it does
- Automated incident response
- Custom reporting
- Telemetry analysis
- Issue remediation
Specifications
- Channels
- Slack, In-app
- Integrations
- Jira, Linear, Slack, PagerDuty
- Human control
- Manual or autonomous runs, Human review and annotation for labeling outputs
- Deployment
- Cloud
- Credit Consumption
- ~1 credit per run
- Execution Modes
- Manual or Autonomous
- Platform
- Datadog AI Platform
- Primary Use Cases
- Incident Response, Custom Reporting
- Input Types
- Structured and Unstructured Data
How it works
- Define Agent Goals: Define the specific operational goals and high-value workflows the agent needs to automate, such as incident response.
- Configure Skills and Tools: Connect the agent to necessary Datadog tools, telemetry sources, and third-party integrations like Slack or Jira.
- Deploy and Execute: Set the agent to run autonomously based on triggers or execute tasks manually as needed.
- Monitor and Iterate: Use production traces and human feedback to refine agent behavior and improve response accuracy over time.
Use cases
- SRE teams build agents to automatically investigate alerts and apply remediations to reduce MTTR.
- Operations managers create agents to generate complex custom reports by analyzing telemetry across the entire stack.
- DevOps engineers deploy autonomous agents to monitor resource usage and adjust configurations based on predefined policies.
- Security teams use custom agents to correlate telemetry and identify root causes of potential threats in real time.
Pricing
- AI Credits Bundle (500 credits)
- $500 per month (billed annually)
- On-Demand AI Credit
- $1.30 per credit
FAQ
How does Bits Agent Builder differ from Bits Chat?
Bits Agent Builder allows you to create custom AI agents for high-value workflows like incident response and custom reporting, whereas Bits Chat is primarily for searching telemetry and creating dashboards with natural language.
Added by AntSpace from public sources (datadoghq.com).