# 2501.ai

## Docs

- [Agents](https://docs.2501.ai/0.11/benchmark/agents.md): Agent configuration for host mode and VM mode
- [Examples](https://docs.2501.ai/0.11/benchmark/examples.md): Complete worked scenarios ready to copy and adapt
- [flush](https://docs.2501.ai/0.11/benchmark/flush.md): Delete scenario run data from the database
- [Hosts](https://docs.2501.ai/0.11/benchmark/hosts.md): Target host configuration for host mode and VM mode
- [Why Benchmark](https://docs.2501.ai/0.11/benchmark/overview.md): Validate agent behavior on realistic scenarios before exposing it to production
- [Playbooks](https://docs.2501.ai/0.11/benchmark/playbooks.md): Ansible playbooks for prepare, restore, and validate phases
- [Quickstart](https://docs.2501.ai/0.11/benchmark/quickstart.md): Run your first benchmark scenario end to end
- [Overview](https://docs.2501.ai/0.11/benchmark/sandbox.md): Isolated, ephemeral VMs for scenario runs and agent testing
- [From a Scenario](https://docs.2501.ai/0.11/benchmark/sandbox-scenario.md): Step into a broken scenario environment to inspect state and iterate on playbooks
- [Standalone VMs](https://docs.2501.ai/0.11/benchmark/sandbox-targets.md): Provision standalone VMs for ad-hoc agent testing outside of scenario runs
- [Templates](https://docs.2501.ai/0.11/benchmark/sandbox-templates.md): VM base images available for incus and lima modes
- [Scenario Structure](https://docs.2501.ai/0.11/benchmark/scenario.md): Scenario structure, keys, tags, and writing effective descriptions
- [start](https://docs.2501.ai/0.11/benchmark/start.md): CLI reference for 2501 runner start
- [validate](https://docs.2501.ai/0.11/benchmark/validate.md): Lint scenario definitions or re-run validation rules against existing runs
- [Validation](https://docs.2501.ai/0.11/benchmark/validation.md): Validation rules, validators, and scoring model
- [Dynamic Context Injection](https://docs.2501.ai/0.11/best-practices/dynamic-context.md): How 2501 chooses what to put in an agent's context — and what stays out
- [Working with Knowledge](https://docs.2501.ai/0.11/best-practices/knowledge.md): Feed your existing documentation into 2501 so agents inherit it automatically
- [MCP & Plugins](https://docs.2501.ai/0.11/best-practices/mcp-plugins.md): When to give agents extra tools — and when not to
- [Scoping Agents](https://docs.2501.ai/0.11/best-practices/scoping-agents.md): Why focused agents beat general-purpose ones — and how to scope them
- [Testing a Behavior](https://docs.2501.ai/0.11/best-practices/testing.md): Verify a new specialty, rule, or MCP before rolling it out to production
- [chat](https://docs.2501.ai/0.11/cli/chat.md): Talk to the AI Assistant from your terminal
- [infra](https://docs.2501.ai/0.11/cli/infra.md): Deploy and operate 2501 on Docker Swarm or Kubernetes
- [login & status](https://docs.2501.ai/0.11/cli/login-status.md): Sign in to your Command Center, confirm who you are
- [2501 CLI](https://docs.2501.ai/0.11/cli/overview.md): One binary, six command groups — manage the platform from your terminal or CI
- [resources](https://docs.2501.ai/0.11/cli/resources.md): Manage platform resources as version-controlled MDX files
- [runner](https://docs.2501.ai/0.11/cli/runner.md): Drive Benchmark scenarios from the CLI
- [Blacklist](https://docs.2501.ai/0.11/configure/blacklist.md): Prevent agents from executing specific commands
- [Configuration as Code](https://docs.2501.ai/0.11/configure/configuration-as-code.md): Manage platform resources as version-controlled MDX with the 2501 CLI
- [Credentials](https://docs.2501.ai/0.11/configure/credentials.md): Enable agents to access your services
- [Network Discovery](https://docs.2501.ai/0.11/configure/discovery.md): Scan your network to build host inventory automatically
- [Import Hosts via CSV](https://docs.2501.ai/0.11/configure/import-hosts-csv.md): Bulk import hosts and agents using CSV files
- [Knowledge Base](https://docs.2501.ai/0.11/configure/knowledge.md): Upload documents and let the engine extract reusable knowledge for your agents
- [Licensing & Usage](https://docs.2501.ai/0.11/configure/licensing.md): Apply your 2501 license, understand entitlement caps, and track usage from Command Center
- [Models](https://docs.2501.ai/0.11/configure/models.md): Catalog the LLMs your agents can pick as engines
- [Operational Rules](https://docs.2501.ai/0.11/configure/operational-rules.md): Tag-matched guardrails that apply to the right tasks, not every agent
- [Plugins](https://docs.2501.ai/0.11/configure/plugins.md): Connect AI Agents to MCPs and plugins
- [Prompting](https://docs.2501.ai/0.11/configure/prompting.md): Learn the basics of prompting AI Agents
- [Providers](https://docs.2501.ai/0.11/configure/providers.md): Register the LLM endpoints the engine can call
- [Agent](https://docs.2501.ai/0.11/configure/resources/agents.md): MDX frontmatter reference for agent resources
- [Blacklist](https://docs.2501.ai/0.11/configure/resources/blacklist.md): MDX frontmatter reference for blacklist entries
- [Credential](https://docs.2501.ai/0.11/configure/resources/credentials.md): MDX frontmatter reference for credential resources
- [Gateway](https://docs.2501.ai/0.11/configure/resources/gateways.md): MDX frontmatter reference for gateway resources
- [Host](https://docs.2501.ai/0.11/configure/resources/hosts.md): MDX frontmatter reference for host resources
- [LLM Model](https://docs.2501.ai/0.11/configure/resources/models.md): MDX frontmatter reference for LLM model resources
- [Operational Rule](https://docs.2501.ai/0.11/configure/resources/operational-rules.md): MDX frontmatter reference for operational rule resources
- [LLM Provider](https://docs.2501.ai/0.11/configure/resources/providers.md): MDX frontmatter reference for LLM provider resources
- [Specialty](https://docs.2501.ai/0.11/configure/resources/specialties.md): MDX frontmatter reference for specialty resources
- [Specialties](https://docs.2501.ai/0.11/configure/specialties.md): Configure your agent for specific task domains
- [Users](https://docs.2501.ai/0.11/configure/users.md): Manage users and permissions from the Command Center
- [Webhooks](https://docs.2501.ai/0.11/configure/webhooks.md): Set up real-time webhook notifications from ServiceNow
- [Agents](https://docs.2501.ai/0.11/core-concepts/agents.md): The LLMs autonomously browsing your systems
- [Gateways](https://docs.2501.ai/0.11/core-concepts/gateways.md): Connect agents to external services
- [Hosts](https://docs.2501.ai/0.11/core-concepts/hosts.md): Your machines where agents act autonomously
- [Job Schedules](https://docs.2501.ai/0.11/core-concepts/job-schedules.md): Recurring jobs that fan out into a fresh Job each tick
- [Jobs](https://docs.2501.ai/0.11/core-concepts/jobs.md): Coordinate multiple tasks across agents
- [Organizations](https://docs.2501.ai/0.11/core-concepts/organizations.md): Organize your tenant by separating between organizations
- [Tasks](https://docs.2501.ai/0.11/core-concepts/tasks.md): Assign complex tasks to your agents in various ways
- [Tickets](https://docs.2501.ai/0.11/core-concepts/tickets.md): Key data extracted from your ITSM, translated for 2501's pipeline
- [Configuration](https://docs.2501.ai/0.11/deployment/configuration.md): How 2501 deployment configuration works
- [Docker Swarm](https://docs.2501.ai/0.11/deployment/docker-swarm.md): Production deployment with Docker Swarm
- [Feature Toggles](https://docs.2501.ai/0.11/deployment/feature-toggles.md): Toggle experimental and optional behaviors on or off
- [Init Command](https://docs.2501.ai/0.11/deployment/init-command.md): Initialize your 2501 deployment workspace
- [Kubernetes](https://docs.2501.ai/0.11/deployment/kubernetes.md): Run the 2501 engine on any Kubernetes cluster with the Kubernetes pod executor backend
- [LLM Providers](https://docs.2501.ai/0.11/deployment/llm-providers.md): Seed LLM providers at deploy time and manage them in Command Center
- [Overview](https://docs.2501.ai/0.11/deployment/overview.md): Deploy 2501 on your infrastructure
- [Troubleshooting](https://docs.2501.ai/0.11/deployment/troubleshooting.md): Troubleshooting guide and feature toggles reference for 2501
- [Users & Organizations](https://docs.2501.ai/0.11/deployment/users-organizations.md): Manage users, organizations, and tenants in 2501
- [FAQ](https://docs.2501.ai/0.11/faq.md): Quick answers to common questions about 2501
- [Quickstart](https://docs.2501.ai/0.11/getting-started/quickstart.md): Install the CLI, deploy 2501, and run your first agent
- [Welcome](https://docs.2501.ai/0.11/getting-started/welcome.md): AIOps with 2501 — an autonomous agent platform for IT operations
- [Prompting a Gateway](https://docs.2501.ai/0.11/prompting/gateway.md): Route and sequence inbound tickets, and govern what 2501 writes back
- [Prompting an Operational Rule](https://docs.2501.ai/0.11/prompting/operational-rule.md): Tell the agent what is true about *your* environment
- [Prompting for a Specialty](https://docs.2501.ai/0.11/prompting/specialty.md): Shape how an agent thinks about a domain — vocabulary, priorities, and approach
- [Talking to an Agent](https://docs.2501.ai/0.11/prompting/talking-to-agents.md): How to write task prompts that agents actually act on correctly
- [Benchmarking for Risk](https://docs.2501.ai/0.11/risk/benchmarking.md): Validate new use cases in a sandbox before exposing them to production
- [Blacklists in Practice](https://docs.2501.ai/0.11/risk/blacklists.md): The programmatic kill-switch — always on, no matter what
- [Handling Permissions](https://docs.2501.ai/0.11/risk/permissions.md): Limit agents at the credential and provisioning layer, not just the prompt
- [Read-Only Agents](https://docs.2501.ai/0.11/risk/read-only-agents.md): Use the investigate-only ceiling for critical systems and high-risk new use cases
- [Agentic Flow](https://docs.2501.ai/0.11/understand/agentic-flow.md): Ticket → gateway → job → tasks → resolution, in one page
- [Command Center](https://docs.2501.ai/0.11/understand/command-center.md): The web UI for managing your 2501 installation
- [Configuration Approaches](https://docs.2501.ai/0.11/understand/configuration.md): Three ways to configure 2501 — pick the one that fits how you work
- [Engine & Agents](https://docs.2501.ai/0.11/understand/engine-agents.md): The backend that powers 2501 and the dual-LLM architecture behind every agent

## OpenAPI Specs

- [openapi](https://docs.2501.ai/openapi.json)