Onboarding

Import from GitHub, validate configuration, and set up your workspace.

GitHub Ingestion

Connect your repository to import agent configuration. Private repos can use a GitHub token.

Workspace Build Output

Build writes tenant, agents, prompt bundles, workflow graph, and tenant settings.

No workspace build has been run yet.

Manifest Editor

{
  "manifest_version": "1.1",
  "tenant": {
    "name": "Example Tenant",
    "domain": "home_services"
  },
  "agents": [
    {
      "agent_id": "primary_agent",
      "name": "Primary Agent",
      "type": "chat",
      "model": {
        "provider": "openai",
        "model_id": "gpt-4o-mini",
        "temperature": 0.2
      },
      "scripts": [
        {
          "script_id": "main",
          "label": "Main Script",
          "content": "You are the customer support agent. Follow policy and capture required fields.",
          "type": "system_prompt",
          "steps": [
            {
              "step_id": "main_collect_context",
              "label": "Collect customer context",
              "required": true,
              "tool_policy": "may_call",
              "retrieval_policy": "hybrid"
            },
            {
              "step_id": "main_execute",
              "label": "Execute required workflow action",
              "required": true,
              "tool_policy": "must_call",
              "retrieval_policy": "keyword"
            },
            {
              "step_id": "main_confirm",
              "label": "Confirm recap and next steps",
              "required": true,
              "tool_policy": "forbidden",
              "retrieval_policy": "none"
            }
          ]
        }
      ],
      "tools": [
        {
          "tool_id": "knowledge_retrieval",
          "name": "knowledge_retrieval",
          "description": "Retrieve policy context"
        }
      ],
      "integrations": [],
      "success_criteria": {
        "primary_metric": "resolution_rate"
      }
    }
  ],
  "workflow": {
    "type": "single_agent",
    "entry_agent": "primary_agent",
    "edges": [],
    "handoff_protocol": "full_context"
  },
  "eval_preferences": {
    "priority_focus": "all",
    "trace_source": "sdk_integration",
    "historical_data_available": false,
    "estimated_daily_volume": 100
  },
  "model_profiles": [
    {
      "profile_id": "model_main",
      "provider": "openai",
      "model_id": "gpt-4o-mini",
      "temperature": 0.2,
      "max_tokens": 1200,
      "cost_input_per_1m": 0.15,
      "cost_output_per_1m": 0.6,
      "is_default": true,
      "switching_candidates": [
        {
          "provider": "openai",
          "model_id": "gpt-4.1-mini",
          "estimated_savings_pct": 0.25,
          "quality_risk": "low",
          "reason": "Primary lower-cost alternative."
        }
      ]
    }
  ],
  "skills": [
    {
      "skill_id": "scripted_flow_control",
      "name": "Scripted Flow Control",
      "weight": 0.3,
      "state_thresholds": {
        "pass": 0.8,
        "warn": 0.6
      }
    },
    {
      "skill_id": "tool_use_discipline",
      "name": "Tool Use Discipline",
      "weight": 0.35,
      "state_thresholds": {
        "pass": 0.85,
        "warn": 0.65
      }
    },
    {
      "skill_id": "customer_clarity",
      "name": "Customer Clarity",
      "weight": 0.35,
      "state_thresholds": {
        "pass": 0.82,
        "warn": 0.62
      }
    }
  ],
  "harness_checks": [
    {
      "check_id": "required_disclosure_check",
      "name": "Required Disclosure",
      "severity": "high",
      "critical": true,
      "evaluation_type": "rule",
      "threshold": 1
    },
    {
      "check_id": "tool_execution_check",
      "name": "Tool Execution",
      "severity": "high",
      "critical": true,
      "evaluation_type": "hybrid",
      "expected_tool_id": "knowledge_retrieval",
      "threshold": 0.9
    },
    {
      "check_id": "recap_confirmation_check",
      "name": "Recap Confirmation",
      "severity": "medium",
      "critical": false,
      "evaluation_type": "llm",
      "threshold": 0.8
    }
  ],
  "outcome_metrics": [
    {
      "metric_id": "resolution_rate",
      "name": "Resolution Rate",
      "direction": "maximize",
      "target_value": 0.9
    },
    {
      "metric_id": "recontact_7d",
      "name": "Recontact within 7d",
      "direction": "minimize",
      "target_value": 0.1
    }
  ],
  "interaction_edges": [
    {
      "edge_id": "edge_model_prompt",
      "from_type": "model_profile",
      "from_id": "model_main",
      "to_type": "prompt_bundle",
      "to_id": "main",
      "relation": "drives",
      "required": true
    },
    {
      "edge_id": "edge_prompt_skill",
      "from_type": "prompt_step",
      "from_id": "main_execute",
      "to_type": "skill",
      "to_id": "tool_use_discipline",
      "relation": "implements",
      "required": true
    },
    {
      "edge_id": "edge_skill_harness",
      "from_type": "skill",
      "from_id": "tool_use_discipline",
      "to_type": "harness_check",
      "to_id": "tool_execution_check",
      "relation": "evaluated_by",
      "required": true
    },
    {
      "edge_id": "edge_prompt_tool",
      "from_type": "prompt_step",
      "from_id": "main_execute",
      "to_type": "tool",
      "to_id": "knowledge_retrieval",
      "relation": "must_call",
      "required": true
    },
    {
      "edge_id": "edge_harness_tool",
      "from_type": "harness_check",
      "from_id": "tool_execution_check",
      "to_type": "tool",
      "to_id": "knowledge_retrieval",
      "relation": "expects",
      "required": true
    },
    {
      "edge_id": "edge_model_skill",
      "from_type": "model_profile",
      "from_id": "model_main",
      "to_type": "skill",
      "to_id": "tool_use_discipline",
      "relation": "constrains",
      "required": false
    },
    {
      "edge_id": "edge_skill_outcome",
      "from_type": "skill",
      "from_id": "customer_clarity",
      "to_type": "outcome_metric",
      "to_id": "resolution_rate",
      "relation": "influences",
      "required": false
    }
  ],
  "review_needed": [],
  "extraction_metadata": {
    "source_type": "manual_paste",
    "source_url": "manual",
    "detected_framework": "custom"
  }
}