claude-flow
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Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration
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TypeScript
/**
* Shared agent-execution core.
*
* Both the agent_execute MCP tool and the workflow runtime (G3) need
* to dispatch a prompt to an agent's configured Anthropic model. This
* module factors that path out so it's testable and reusable, and
* keeps the wire from agent_spawn → ProviderManager (real) in one
* place rather than duplicated.
*/
type ClaudeModel = 'haiku' | 'sonnet' | 'opus' | 'inherit';
export interface AgentRecord {
agentId: string;
agentType: string;
status: 'idle' | 'busy' | 'terminated';
health: number;
taskCount: number;
config: Record<string, unknown>;
createdAt: string;
domain?: string;
model?: ClaudeModel;
modelRoutedBy?: 'explicit' | 'router' | 'agent-booster' | 'default';
lastResult?: Record<string, unknown>;
}
export declare const DEFAULT_ANTHROPIC_MODEL = "claude-sonnet-4-6";
export interface AnthropicCallInput {
prompt: string;
systemPrompt?: string;
model?: string;
maxTokens?: number;
temperature?: number;
timeoutMs?: number;
}
export interface AnthropicCallResult {
success: boolean;
model?: string;
messageId?: string;
stopReason?: string;
output?: string;
usage?: {
inputTokens: number;
outputTokens: number;
totalTokens: number;
};
durationMs?: number;
error?: string;
}
/**
* Generic Anthropic Messages API call. No agent registry coupling — used
* by agent_execute (with the agent's configured model) and by the WASM
* agent runtime (G4) when the bundled WASM only echoes input.
*
* #1725 — falls back to Ollama Cloud (Tier-2, OpenAI-compat) when
* ANTHROPIC_API_KEY is unset and OLLAMA_API_KEY is present, or when
* RUFLO_PROVIDER=ollama is explicitly set. Response shape is normalized
* to the Anthropic-flavored AnthropicCallResult so existing callers
* don't need to know which provider answered.
*/
export declare function callAnthropicMessages(input: AnthropicCallInput): Promise<AnthropicCallResult>;
/**
* Resolve a model identifier to an Anthropic model ID. Accepts:
* - logical names: 'haiku', 'sonnet', 'opus', 'inherit'
* - prefixed: 'anthropic:claude-sonnet-4-6'
* - direct: 'claude-sonnet-4-6'
*/
export declare function resolveAnthropicModel(input: string | undefined): string;
export interface AgentExecuteInput {
agentId: string;
prompt: string;
systemPrompt?: string;
maxTokens?: number;
temperature?: number;
timeoutMs?: number;
}
export interface AgentExecuteResult {
success: boolean;
agentId: string;
model?: string;
messageId?: string;
stopReason?: string;
output?: string;
usage?: {
inputTokens: number;
outputTokens: number;
totalTokens: number;
};
durationMs?: number;
error?: string;
remediation?: string;
}
export declare function executeAgentTask(input: AgentExecuteInput): Promise<AgentExecuteResult>;
export {};
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