Console
Overview
The admin dashboard for configuring and monitoring an EgoZ project.
The Console is the admin dashboard for the EgoZ Orchestrator. It's where a project
owner configures a project, wires up tools and knowledge, and monitors what production
traffic is doing. It is not an end-user chat app — the /ask API
is the product; the Console is the control plane.
| Console is | Console is not |
|---|---|
| Admin dashboard for project owners | End-user chat interface |
| Configuration management | Production traffic handler |
| Usage analytics & auditing | Customer-facing product |
| Testing / debugging playground | Real-time conversation app |
The user journey
1. Create an account
2. Create a Project (Tenant)
3. Configure it:
• pick model & temperature
• write system prompts
• add tool endpoints (APIs the AI can call)
• upload knowledge documents (RAG)
4. Test it in the Playground
5. Grab credentials (Tenant ID + API key)
6. Integrate /ask in your own backend
7. Production traffic flows: Your App → /ask → EgoZ Orchestrator
8. Monitor usage & cost in Analytics
9. Audit conversations in ThreadsAreas of the Console
The Console has a global area (all your projects) and a project area (one project's configuration + monitoring). Each area is documented on its own page:
| Page | Covers |
|---|---|
| Projects | The projects picker, creating a project, and a project's Overview. |
| Agent Configuration | LLM settings, provider keys, system prompts, personality (Your Agent), and tool settings. |
| Endpoints & Knowledge | Endpoints (the APIs the agent can call), the knowledge base (RAG), and extensions. |
| Monitoring | Analytics, Threads, Tool Health, Incidents, and Model Pricing. |
| Playground | Testing the live agent before production. |
| Access & MCP | API keys and connecting external MCP clients. |
| Account & Templates | Account settings, personal access tokens, and reusable templates. |
The Console is the control plane; the /ask API is the product. Everything
you configure here shapes how /ask answers in production.
Related
- Integrate the API → Client SDK
- Manage tools/knowledge from an AI agent → MCP connection