@dollhousemcp/mcp-server
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DollhouseMCP - A Model Context Protocol (MCP) server that enables dynamic AI persona management from markdown files, allowing Claude and other compatible AI assistants to activate and switch between different behavioral personas.
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JavaScript
/**
* Centralized configuration for autonomy evaluation thresholds
*
* Issue #390 (Post-Review Improvement): Makes risk thresholds and step limits
* configurable via environment variables. Previously, RISK_THRESHOLDS and
* maxAutonomousSteps were hardcoded constants in autonomyEvaluator.ts.
*
* Environment variables follow the pattern: DOLLHOUSE_AUTONOMY_*
* Values are clamped between safety floors and security ceilings.
*
* @example
* // Override via environment variables (set before server starts)
* // DOLLHOUSE_AUTONOMY_THRESHOLD_CONSERVATIVE=20
* // DOLLHOUSE_AUTONOMY_THRESHOLD_MODERATE=40
* // DOLLHOUSE_AUTONOMY_THRESHOLD_AGGRESSIVE=70
* // DOLLHOUSE_AUTONOMY_MAX_STEPS_DEFAULT=15
*/
import { parseEnvInt } from './env-utils.js';
// ==================== HARD LIMITS (Security Ceiling) ====================
/**
* Absolute maximum values — cannot be exceeded even with environment variable overrides.
* Prevents nonsensical or dangerous configurations.
*/
export const AUTONOMY_HARD_LIMITS = {
/** Max conservative threshold. Prevents it from being set so high it never triggers. */
thresholdConservative: 50,
/** Max moderate threshold. */
thresholdModerate: 80,
/** Max aggressive threshold. Must stay below 100 to retain some safety margin. */
thresholdAggressive: 95,
/** Max step limit. Prevents runaway agents even with misconfiguration. */
maxStepsDefault: 100,
};
// ==================== MIN LIMITS (Safety Floor) ====================
/**
* Minimum values — configured values cannot go below these.
* Ensures thresholds remain meaningful and agents don't immediately pause.
*/
export const AUTONOMY_MIN_LIMITS = {
/** Min conservative threshold. Must be positive to allow very-low-risk actions. */
thresholdConservative: 5,
/** Min moderate threshold. Must be above conservative floor. */
thresholdModerate: 20,
/** Min aggressive threshold. Must be above moderate floor. */
thresholdAggressive: 40,
/** Min step limit. Agents need at least 1 step to do anything. */
maxStepsDefault: 1,
};
// ==================== DEFAULTS ====================
/**
* Default values when no environment variable is set.
* Matches the original hardcoded constants from autonomyEvaluator.ts.
*/
export const AUTONOMY_DEFAULTS = {
/**
* Conservative threshold (25): Pauses on any moderate risk.
* Suitable for production, financial, or security-sensitive agents.
*/
thresholdConservative: 25,
/**
* Moderate threshold (50): Balances autonomy and safety.
* Default for most agents.
*/
thresholdModerate: 50,
/**
* Aggressive threshold (75): Only pauses on high-risk actions.
* For trusted, well-tested agents in controlled environments.
*/
thresholdAggressive: 75,
/**
* Default max autonomous steps (10): How many steps an agent can
* take before requiring human check-in.
*/
maxStepsDefault: 10,
};
// ==================== ENVIRONMENT VARIABLE MAPPING ====================
/**
* Maps autonomy config keys to their environment variable names.
* Exported for documentation and testing purposes.
*/
export const AUTONOMY_ENV_VARS = {
thresholdConservative: 'DOLLHOUSE_AUTONOMY_THRESHOLD_CONSERVATIVE',
thresholdModerate: 'DOLLHOUSE_AUTONOMY_THRESHOLD_MODERATE',
thresholdAggressive: 'DOLLHOUSE_AUTONOMY_THRESHOLD_AGGRESSIVE',
maxStepsDefault: 'DOLLHOUSE_AUTONOMY_MAX_STEPS_DEFAULT',
};
// ==================== PUBLIC API ====================
/**
* Get the conservative risk threshold.
*
* Actions with risk scores above this threshold require human approval
* when an agent uses conservative risk tolerance. Low value means the
* agent pauses on even moderate-risk actions.
*
* Suitable for production, financial, or security-sensitive agents.
*/
export function getAutonomyThresholdConservative() {
return parseEnvInt(AUTONOMY_ENV_VARS.thresholdConservative, AUTONOMY_DEFAULTS.thresholdConservative, AUTONOMY_MIN_LIMITS.thresholdConservative, AUTONOMY_HARD_LIMITS.thresholdConservative, 'Autonomy threshold');
}
/**
* Get the moderate risk threshold.
*
* Balances autonomy and safety. Default for most agents.
* Actions with risk scores above this value trigger a pause.
*/
export function getAutonomyThresholdModerate() {
return parseEnvInt(AUTONOMY_ENV_VARS.thresholdModerate, AUTONOMY_DEFAULTS.thresholdModerate, AUTONOMY_MIN_LIMITS.thresholdModerate, AUTONOMY_HARD_LIMITS.thresholdModerate, 'Autonomy threshold');
}
/**
* Get the aggressive risk threshold.
*
* Only pauses on high-risk actions. For trusted, well-tested agents
* in controlled environments where speed is prioritized.
*/
export function getAutonomyThresholdAggressive() {
return parseEnvInt(AUTONOMY_ENV_VARS.thresholdAggressive, AUTONOMY_DEFAULTS.thresholdAggressive, AUTONOMY_MIN_LIMITS.thresholdAggressive, AUTONOMY_HARD_LIMITS.thresholdAggressive, 'Autonomy threshold');
}
/**
* Get the default maximum autonomous steps.
*
* Controls how many steps an agent can take before requiring
* human check-in, when the agent doesn't specify its own limit.
*/
export function getAutonomyMaxStepsDefault() {
return parseEnvInt(AUTONOMY_ENV_VARS.maxStepsDefault, AUTONOMY_DEFAULTS.maxStepsDefault, AUTONOMY_MIN_LIMITS.maxStepsDefault, AUTONOMY_HARD_LIMITS.maxStepsDefault, 'Autonomy limit');
}
/**
* Get all risk thresholds as a record keyed by tolerance level.
*
* Convenience function for callers that need the full threshold map
* (e.g., the autonomy evaluator's checkRiskThreshold function).
*
* @returns Object with keys `conservative`, `moderate`, and `aggressive`,
* each mapping to a risk score threshold (0–100). These keys correspond
* to the `riskTolerance` field on `AgentAutonomyConfig`. Actions with
* risk scores above the agent's tolerance threshold trigger a pause.
*/
export function getAutonomyRiskThresholds() {
return {
conservative: getAutonomyThresholdConservative(),
moderate: getAutonomyThresholdModerate(),
aggressive: getAutonomyThresholdAggressive(),
};
}
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Previously, RISK_THRESHOLDS and\n * maxAutonomousSteps were hardcoded constants in autonomyEvaluator.ts.\n *\n * Environment variables follow the pattern: DOLLHOUSE_AUTONOMY_*\n * Values are clamped between safety floors and security ceilings.\n *\n * @example\n * // Override via environment variables (set before server starts)\n * // DOLLHOUSE_AUTONOMY_THRESHOLD_CONSERVATIVE=20\n * // DOLLHOUSE_AUTONOMY_THRESHOLD_MODERATE=40\n * // DOLLHOUSE_AUTONOMY_THRESHOLD_AGGRESSIVE=70\n * // DOLLHOUSE_AUTONOMY_MAX_STEPS_DEFAULT=15\n */\n\nimport { parseEnvInt } from './env-utils.js';\n\n// ==================== HARD LIMITS (Security Ceiling) ====================\n/**\n * Absolute maximum values — cannot be exceeded even with environment variable overrides.\n * Prevents nonsensical or dangerous configurations.\n */\nexport const AUTONOMY_HARD_LIMITS = {\n  /** Max conservative threshold. Prevents it from being set so high it never triggers. */\n  thresholdConservative: 50,\n  /** Max moderate threshold. */\n  thresholdModerate: 80,\n  /** Max aggressive threshold. Must stay below 100 to retain some safety margin. */\n  thresholdAggressive: 95,\n  /** Max step limit. Prevents runaway agents even with misconfiguration. */\n  maxStepsDefault: 100,\n} as const;\n\n// ==================== MIN LIMITS (Safety Floor) ====================\n/**\n * Minimum values — configured values cannot go below these.\n * Ensures thresholds remain meaningful and agents don't immediately pause.\n */\nexport const AUTONOMY_MIN_LIMITS = {\n  /** Min conservative threshold. Must be positive to allow very-low-risk actions. */\n  thresholdConservative: 5,\n  /** Min moderate threshold. Must be above conservative floor. */\n  thresholdModerate: 20,\n  /** Min aggressive threshold. Must be above moderate floor. */\n  thresholdAggressive: 40,\n  /** Min step limit. Agents need at least 1 step to do anything. */\n  maxStepsDefault: 1,\n} as const;\n\n// ==================== DEFAULTS ====================\n/**\n * Default values when no environment variable is set.\n * Matches the original hardcoded constants from autonomyEvaluator.ts.\n */\nexport const AUTONOMY_DEFAULTS = {\n  /**\n   * Conservative threshold (25): Pauses on any moderate risk.\n   * Suitable for production, financial, or security-sensitive agents.\n   */\n  thresholdConservative: 25,\n  /**\n   * Moderate threshold (50): Balances autonomy and safety.\n   * Default for most agents.\n   */\n  thresholdModerate: 50,\n  /**\n   * Aggressive threshold (75): Only pauses on high-risk actions.\n   * For trusted, well-tested agents in controlled environments.\n   */\n  thresholdAggressive: 75,\n  /**\n   * Default max autonomous steps (10): How many steps an agent can\n   * take before requiring human check-in.\n   */\n  maxStepsDefault: 10,\n} as const;\n\n// ==================== ENVIRONMENT VARIABLE MAPPING ====================\n/**\n * Maps autonomy config keys to their environment variable names.\n * Exported for documentation and testing purposes.\n */\nexport const AUTONOMY_ENV_VARS = {\n  thresholdConservative: 'DOLLHOUSE_AUTONOMY_THRESHOLD_CONSERVATIVE',\n  thresholdModerate: 'DOLLHOUSE_AUTONOMY_THRESHOLD_MODERATE',\n  thresholdAggressive: 'DOLLHOUSE_AUTONOMY_THRESHOLD_AGGRESSIVE',\n  maxStepsDefault: 'DOLLHOUSE_AUTONOMY_MAX_STEPS_DEFAULT',\n} as const;\n\n// ==================== PUBLIC API ====================\n\n/**\n * Get the conservative risk threshold.\n *\n * Actions with risk scores above this threshold require human approval\n * when an agent uses conservative risk tolerance. Low value means the\n * agent pauses on even moderate-risk actions.\n *\n * Suitable for production, financial, or security-sensitive agents.\n */\nexport function getAutonomyThresholdConservative(): number {\n  return parseEnvInt(\n    AUTONOMY_ENV_VARS.thresholdConservative,\n    AUTONOMY_DEFAULTS.thresholdConservative,\n    AUTONOMY_MIN_LIMITS.thresholdConservative,\n    AUTONOMY_HARD_LIMITS.thresholdConservative,\n    'Autonomy threshold'\n  );\n}\n\n/**\n * Get the moderate risk threshold.\n *\n * Balances autonomy and safety. Default for most agents.\n * Actions with risk scores above this value trigger a pause.\n */\nexport function getAutonomyThresholdModerate(): number {\n  return parseEnvInt(\n    AUTONOMY_ENV_VARS.thresholdModerate,\n    AUTONOMY_DEFAULTS.thresholdModerate,\n    AUTONOMY_MIN_LIMITS.thresholdModerate,\n    AUTONOMY_HARD_LIMITS.thresholdModerate,\n    'Autonomy threshold'\n  );\n}\n\n/**\n * Get the aggressive risk threshold.\n *\n * Only pauses on high-risk actions. For trusted, well-tested agents\n * in controlled environments where speed is prioritized.\n */\nexport function getAutonomyThresholdAggressive(): number {\n  return parseEnvInt(\n    AUTONOMY_ENV_VARS.thresholdAggressive,\n    AUTONOMY_DEFAULTS.thresholdAggressive,\n    AUTONOMY_MIN_LIMITS.thresholdAggressive,\n    AUTONOMY_HARD_LIMITS.thresholdAggressive,\n    'Autonomy threshold'\n  );\n}\n\n/**\n * Get the default maximum autonomous steps.\n *\n * Controls how many steps an agent can take before requiring\n * human check-in, when the agent doesn't specify its own limit.\n */\nexport function getAutonomyMaxStepsDefault(): number {\n  return parseEnvInt(\n    AUTONOMY_ENV_VARS.maxStepsDefault,\n    AUTONOMY_DEFAULTS.maxStepsDefault,\n    AUTONOMY_MIN_LIMITS.maxStepsDefault,\n    AUTONOMY_HARD_LIMITS.maxStepsDefault,\n    'Autonomy limit'\n  );\n}\n\n/**\n * Get all risk thresholds as a record keyed by tolerance level.\n *\n * Convenience function for callers that need the full threshold map\n * (e.g., the autonomy evaluator's checkRiskThreshold function).\n *\n * @returns Object with keys `conservative`, `moderate`, and `aggressive`,\n *   each mapping to a risk score threshold (0–100). These keys correspond\n *   to the `riskTolerance` field on `AgentAutonomyConfig`. Actions with\n *   risk scores above the agent's tolerance threshold trigger a pause.\n */\nexport function getAutonomyRiskThresholds(): Record<string, number> {\n  return {\n    conservative: getAutonomyThresholdConservative(),\n    moderate: getAutonomyThresholdModerate(),\n    aggressive: getAutonomyThresholdAggressive(),\n  };\n}\n"]}