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swarm.schema.json
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271 lines (271 loc) · 7.67 KB
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{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "Swarm Configuration Schema for Tandem",
"description": "JSON schema for declarative swarm configuration in Tandem",
"type": "object",
"properties": {
"$schema": {
"description": "The schema to verify this agents configuration against",
"type": "string",
"format": "uri-reference"
},
"RoE": {
"default": ".tandem/RoE.md",
"description": "Context path of the file stating the rules of engagement",
"type": "string"
},
"data": {
"type": "object",
"description": "Directories where all the data generated during the engagement will be stored by the swarm.",
"properties": {
"bindMount": {
"description": "Bind mount path for the swarm's container. By default, current working directory.",
"type": "string"
},
"directory": {
"description": "Directory where all the application data will be stored",
"type": "string"
}
}
},
"agents": {
"type": "object",
"description": "ai agents working in tandem.",
"properties": {
"orchestrator": {
"allOf": [
{
"$ref": "#/definitions/Agent"
}
],
"title": "Orchestrator (your only point of contact)",
"description": "Interprets and assigns the penetration testing tasks to subagents with respective expertise."
},
"reporter": {
"allOf": [
{
"$ref": "#/definitions/Agent"
}
],
"title": "reporter",
"description": "Manages project timeline, resources, and deliverables"
},
"reconnoiter": {
"allOf": [
{
"$ref": "#/definitions/Agent"
}
],
"title": "Reconnoiter",
"description": "Performs reconnaissance and information gathering"
},
"exploiter": {
"allOf": [
{
"$ref": "#/definitions/Agent"
}
],
"title": "Exploiter",
"description": "Executes exploitation attempts on discovered vulnerabilities"
},
"vulnerability_scanner": {
"allOf": [
{
"$ref": "#/definitions/Agent"
}
],
"title": "vulnerability scanner",
"description": "Identifies and assesses security vulnerabilities"
},
"summarizer": {
"allOf": [
{
"$ref": "#/definitions/Agent"
}
],
"title": "Summarizer",
"description": "summarizes the whole session succintly to provide the context till a point during the engagement to continue based on the current findings."
},
"title": {
"allOf": [
{
"$ref": "#/definitions/Agent"
}
],
"title": "Title",
"description": "generates a title for a session based on the first message within a session."
}
}
},
"providers": {
"propertyNames": {
"enum": [
"anthropic",
"openai",
"gemini",
"groq",
"openrouter",
"vertexai",
"copilot",
"xai"
]
},
"additionalProperties": {
"description": "Provider configuration",
"properties": {
"apiKey": {
"description": "API key for the provider",
"type": "string"
},
"disabled": {
"default": false,
"description": "Whether the provider is disabled",
"type": "boolean"
}
},
"type": "object"
},
"description": "LLM provider configurations",
"type": "object"
},
"debug": {
"default": false,
"description": "Enable debug mode for tandem. find the debug.log in the .tandem dir.",
"type": "boolean"
}
},
"required": [
"agents"
],
"additionalProperties": false,
"definitions": {
"Agent": {
"type": "object",
"properties": {
"agentId": {
"type": "string",
"description": "Unique identifier for the agent"
},
"name": {
"type": "string",
"description": "Human-readable name for the agent"
},
"description": {
"type": "string",
"description": "Description of the agent's purpose and capabilities"
},
"goal": {
"type": "string",
"description": "Primary goal or objective of the agent"
},
"model": {
"type": "string",
"description": "The AI model to use for this agent",
"enum": [
"gpt-4.1",
"gpt-4o",
"gpt-4o-mini",
"gpt-4.1-mini",
"gpt-4.5-preview",
"gpt-4.1-nano",
"o1",
"o1-mini",
"o1-pro",
"o3",
"o3-mini",
"o4-mini",
"claude-3-opus",
"claude-3.5-haiku",
"claude-3-haiku",
"claude-4-sonnet",
"claude-3.5-sonnet",
"claude-3.7-sonnet",
"claude-4-opus",
"llama-3.3-70b-versatile",
"meta-llama/llama-4-maverick-17b-128e-instruct",
"meta-llama/llama-4-scout-17b-16e-instruct",
"deepseek-r1-distill-llama-70b",
"moonshotai/kimi-k2-instruct",
"qwen-qwq",
"gemini-2.0-flash-lite",
"gemini-2.0-flash",
"gemini-2.5-pro",
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
"vertexai.gemini-2.5-flash",
"vertexai.gemini-2.5-pro",
"vertexai.gemini-2.5-flash-lite",
"grok-3-beta",
"grok-3-mini-fast-beta",
"grok-3-fast-beta",
"grok-3-mini-beta",
"copilot.gpt-4o",
"copilot.gpt-4o-mini",
"copilot.gpt-4.1",
"copilot.claude-3.5-sonnet",
"copilot.claude-3.7-sonnet",
"copilot.claude-sonnet-4",
"copilot.o1",
"copilot.o3-mini",
"copilot.o4-mini",
"copilot.gemini-2.0-flash",
"copilot.gemini-2.5-pro"
]
},
"maxTokens": {
"type": "integer",
"description": "Maximum number of tokens for the agent",
"minimum": 1
},
"reasoningEffort": {
"type": "string",
"description": "Reasoning effort level for models that support it",
"enum": [
"low",
"medium",
"high"
]
},
"instructions": {
"type": "array",
"description": "Array of instruction strings that define the agent's behavior",
"items": {
"type": "string"
}
},
"tools": {
"type": "array",
"description": "Array of tools available to the agent",
"uniqueItems": true,
"items": {
"$ref": "#/definitions/Tool"
}
}
},
"required": [
"agentId",
"goal",
"description",
"instructions"
],
"additionalProperties": false,
"reasoningEffort": {
"description": "Reasoning effort for models that support it (OpenAI, Anthropic)",
"enum": [
"low",
"medium",
"high"
],
"type": "string"
}
},
"Tool": {
"type": "string",
"description": "Tool definition for agent capabilities",
"enum": [
"terminal",
"subagent"
]
}
}
}