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import { ModuleRef } from '@nestjs/core';
import {
LlmProvider,
LlmContent,
LlmResponse,
LLM_PROVIDER,
} from '../llm-provider/llm-provider.interface';
import { SubAgentsService } from './sub-agents.service';
import { SubAgentRunsService } from './sub-agent-runs.service';
import { SessionsService } from '../sessions/sessions.service';
import { SystemPromptsService } from '../system-prompts/system-prompts.service';
import { ToolSchemaService } from '../llm-orchestration/tool-schema.service';
import { HistoryCompressionService } from '../llm-orchestration/history-compression.service';
import { ApplicationStateService } from '../application-state/application-state.service';
import { ActionHandler } from '../llm-orchestration/action-handlers/action-handler.interface';
import { McpToolActionHandler } from '../llm-orchestration/action-handlers/mcp-tool-action.handler';
import { McpService } from '../mcp/mcp.service';
import {
ActionExecutionResult,
PlanExecutionContext,
} from '../llm-orchestration/llm-orchestration.interfaces';
import { Session } from '../core-entities/session.entity';
import { InjectRepository } from '@nestjs/typeorm';
import { Repository } from 'typeorm';
import { SessionInput } from '../core-entities/session-input.entity';
import { AIAction } from '../core-entities/ai-action.entity';
import { AIActionStatus } from '../ai-actions/ai-actions.service';
import { ExecutionLogsService } from '../execution-logs/execution-logs.service';
import { EventsGateway } from '../events/events.gateway';
export interface RunAgentOptions {
passContext?: boolean;
contextFiles?: string[];
masterContextDefinition?: any;
/** If provided, reuse this existing session instead of creating a new one. */
sessionId?: string;
}
export interface RunAgentResult {
content: string;
success: boolean;
iterations: number;
childSessionId: string;
}
const MAX_ITERATIONS = 1000;
@Injectable()
export class SubAgentRunner {
private readonly logger = new Logger(SubAgentRunner.name);
constructor(
private readonly subAgentsService: SubAgentsService,
private readonly subAgentRunsService: SubAgentRunsService,
private readonly sessionsService: SessionsService,
private readonly applicationStateService: ApplicationStateService,
private readonly executionLogsService: ExecutionLogsService,
private readonly eventsGateway: EventsGateway,
@Inject(LLM_PROVIDER)
private readonly llmProvider: LlmProvider,
private readonly moduleRef: ModuleRef,
@InjectRepository(SessionInput)
private readonly sessionInputsRepository: Repository<SessionInput>,
@InjectRepository(AIAction)
private readonly aiActionsRepository: Repository<AIAction>,
) {}
/**
* Lazily resolves the ACTION_HANDLER_REGISTRY to avoid circular dependency
* between SubAgentsModule and LlmOrchestrationModule at construction time.
*/
private getHandlerRegistry(): Map<string, ActionHandler> {
return this.moduleRef.get('ACTION_HANDLER_REGISTRY', { strict: false });
}
/**
* Lazily resolves ToolSchemaService to avoid circular module dependency.
*/
private getToolSchemaService(): ToolSchemaService {
return this.moduleRef.get(ToolSchemaService, { strict: false });
}
/**
* Lazily resolves HistoryCompressionService to avoid circular module dependency.
*/
private getHistoryCompressionService(): HistoryCompressionService {
return this.moduleRef.get(HistoryCompressionService, { strict: false });
}
/**
* Lazily resolves SystemPromptsService to avoid circular module dependency
* (SubAgentsModule → SystemPromptsModule → LlmOrchestrationModule → SubAgentsModule).
*/
private getSystemPromptsService(): SystemPromptsService {
return this.moduleRef.get(SystemPromptsService, { strict: false });
}
/**
* Lazily resolves McpService to avoid circular module dependency.
*/
private getMcpService(): McpService {
return this.moduleRef.get(McpService, { strict: false });
}
/**
* Runs a sub-agent synchronously within the parent's tool execution.
* Creates a child session, enters an LLM loop, and returns the result directly.
*/
async runAgent(
agentName: string,
prompt: string,
parentSessionId: string,
options?: RunAgentOptions,
): Promise<RunAgentResult> {
this.logger.log(
`runAgent called for "${agentName}" from parent session ${parentSessionId}`,
);
// 1. Look up sub-agent
const subAgent = await this.subAgentsService.getAgentByName(agentName);
if (!subAgent) {
const availableAgents = (await this.subAgentsService.findActive())
.map((a) => a.name)
.join(', ');
return {
content: `Sub-agent "${agentName}" not found or not active. Available: ${availableAgents}`,
success: false,
iterations: 0,
childSessionId: '',
};
}
const startTime = Date.now();
const handlerRegistry = this.getHandlerRegistry();
const toolSchemaService = this.getToolSchemaService();
const historyCompressionService = this.getHistoryCompressionService();
const systemPromptsService = this.getSystemPromptsService();
// 2. Get or create child session
let childSession: Session;
let existingHistory: LlmContent[] = [];
if (options?.sessionId) {
// Reuse existing session
childSession = await this.sessionsService.findOne(options.sessionId);
if (!childSession) {
return {
content: `Session "${options.sessionId}" not found. Cannot reuse a non-existent session.`,
success: false,
iterations: 0,
childSessionId: options.sessionId,
};
}
this.logger.log(
`Reusing existing session ${childSession.id} for sub-agent "${agentName}"`,
);
// Load existing session history for context continuity
const existingInputs = await this.sessionInputsRepository.find({
where: { session: { id: childSession.id } },
order: { sequence_number: 'ASC' as const },
});
existingHistory = this.reconstructHistory(existingInputs);
} else {
// Create new child session
childSession = await this.sessionsService.create({
session_title: `Sub-Agent: ${agentName}`,
system_prompt_id: subAgent.system_prompt_id || undefined,
default_initial_context_template_id:
subAgent.context_template_id || undefined,
default_followup_context_template_id:
subAgent.followup_context_template_id || undefined,
model_id: subAgent.model_id || undefined,
sub_agent_id: subAgent.id,
parent_session_id: parentSessionId,
});
this.logger.log(
`Created child session ${childSession.id} for sub-agent "${agentName}"`,
);
}
// 3. Create SubAgentRun record
await this.subAgentRunsService.create({
parent_session_id: parentSessionId,
child_session_id: childSession.id,
sub_agent_id: subAgent.id,
agent_name: agentName,
initial_prompt: prompt,
});
// 4. Load & render system prompt
let systemInstruction = '';
if (subAgent.system_prompt_id) {
const rendered = await systemPromptsService.findOneWithSession(
subAgent.system_prompt_id,
childSession.id,
childSession.session_title,
);
systemInstruction = rendered?.prompt_content || '';
} else E{
const defaultPrompt = await systemPromptsService.findDefaultWithSession(
childSession.id,
childSession.session_title,
);
systemInstruction = defaultPrompt?.prompt_content || '';
}
// 5. Generate tool definitions
const mcpService = this.getMcpService();
let tools: any[] | undefined;
if (subAgent.enabled_tools && subAgent.enabled_tools.length > 0) {
// Build a filtered handler map
const filteredHandlers = new Map<string, ActionHandler>();
for (const toolName of subAgent.enabled_tools) {
const handler = handlerRegistry.get(toolName);
if (handler) {
filteredHandlers.set(toolName, handler);
}
}
tools = toolSchemaService.generateToolDefinitions(filteredHandlers);
}
// Add MCP tool definitions (same pattern as main agent via ToolSchemaService.generateToolDefinitionsForPrompt)
Iif (
subAgent.enabled_mcp_tools !== null &&
subAgent.enabled_mcp_tools !== undefined
) {
try {
const allMcpTools = await mcpService.getActiveMcpToolDefinitions();
Iif (allMcpTools.length > 0) {
let enabledMcpToolNames: string[];
if (subAgent.enabled_mcp_tools === 'all') {
enabledMcpToolNames = allMcpTools.map((t) => t.function.name);
} else {
// Parse from stored string, resolving server prefixes
const parsedMcpTools =
(this.subAgentsService.parseEnabledMcpTools(
subAgent.enabled_mcp_tools,
) as string[]) || [];
const allToolNames = allMcpTools.map((t) => t.function.name);
enabledMcpToolNames =
this.resolveMcpToolNames(parsedMcpTools, allToolNames);
}
const filteredMcpTools = allMcpTools.filter((tool) =>
enabledMcpToolNames.includes(tool.function.name),
);
Iif (filteredMcpTools.length > 0) {
tools = [...(tools || []), ...filteredMcpTools];
this.logger.log(
`Added ${filteredMcpTools.length} MCP tool definitions for sub-agent "${agentName}".`,
);
}
}
} catch (error) {
this.logger.warn(
`Failed to load MCP tool definitions for sub-agent "${agentName}": ${error.message}. Continuing without MCP tools.`,
);
}
}
// 6. Build initial history (prepend existing history if reusing session)
const history: LlmContent[] = [
...existingHistory,
{ role: 'user', parts: [{ text: prompt }] },
];
// 7. Create initial user SessionInput
await this.sessionInputsRepository.save(
this.sessionInputsRepository.create({
session: { id: childSession.id },
role: 'user',
user_prompt: prompt,
execution_strategy: 'auto_apply',
}),
);
// Notify frontend that sub-agent session has started
this.eventsGateway.sendToAll('refresh-ui', {
sessionId: childSession.id,
});
// 8. LLM loop
let iterations = 0;
let finalContent = '';
let success = true;
try {
const abortController = new AbortController();
const executionStrategy =
await this.applicationStateService.getExecutionStrategy();
while (iterations < MAX_ITERATIONS) {
iterations++;
this.logger.log(
`Sub-agent "${agentName}" iteration ${iterations}/${MAX_ITERATIONS}`,
);
// Compress history
const compressedHistory =
await historyCompressionService.compress(history);
// Call LLM
const llmResponse: LlmResponse = await this.callWithRetry(
{
prompt: '',
systemInstruction,
history: compressedHistory,
modelId: childSession.model_id || undefined,
tools,
abortController,
},
childSession.id,
);
// Check for empty response
Iif (
!llmResponse.text &&
(!llmResponse.tool_calls || llmResponse.tool_calls.length === 0)
) {
this.logger.log(
`Sub-agent "${agentName}" returned empty response with no tool calls. Ending loop.`,
);
finalContent = llmResponse.text || '(No response from sub-agent)';
break;
}
// Build model message for history
const modelMessage: LlmContent = {
role: 'model',
parts: [{ text: llmResponse.text || '' }],
};
if (llmResponse.tool_calls && llmResponse.tool_calls.length > 0) {
modelMessage.tool_calls = llmResponse.tool_calls;
}
Iif (llmResponse.thoughts) {
modelMessage.thoughts = llmResponse.thoughts;
}
history.push(modelMessage);
// Persist model turn as SessionInput
const modelInput = this.sessionInputsRepository.create({
session: { id: childSession.id },
role: 'model',
raw_llm_response: llmResponse.text || '',
tool_calls: llmResponse.tool_calls
? JSON.stringify(llmResponse.tool_calls)
: null,
thoughts: llmResponse.thoughts || null,
input_token_count: llmResponse.usage?.inputTokens || null,
output_token_count: llmResponse.usage?.outputTokens || null,
cached_token_count: llmResponse.usage?.cachedTokens || null,
execution_strategy: 'auto_apply',
});
await this.sessionInputsRepository.save(modelInput);
// Notify frontend that model turn is available
this.eventsGateway.sendToAll('refresh-ui', {
sessionId: childSession.id,
});
// Check for no tool calls → done
if (!llmResponse.tool_calls || llmResponse.tool_calls.length === 0) {
this.logger.log(
`Sub-agent "${agentName}" returned text with no tool calls. Ending loop.`,
);
finalContent = llmResponse.text || '';
break;
}
// Parse and execute tool calls
const executionContext = new PlanExecutionContext();
executionContext.session_id = childSession.id;
executionContext.system_prompt_id = subAgent.system_prompt_id || null;
let shouldBreak = false;
const toolResults: {
toolCallId: string;
toolName: string;
result: string;
}[] = [];
for (const toolCall of llmResponse.tool_calls) {
const toolName = toolCall.function.name;
const args =
typeof toolCall.function.arguments === 'string'
? JSON.parse(toolCall.function.arguments)
: toolCall.function.arguments;
this.logger.log(`Sub-agent "${agentName}" calling tool: ${toolName}`);
// Check for final() — extract result and break
if (toolName === 'final') {
const plainText = args.plain || args.content || '';
finalContent = plainText;
shouldBreak = true;
// Create AIAction record for final
const actionEntity = this.aiActionsRepository.create({
input_id: modelInput.id,
sessionInput: { id: modelInput.id },
action_type: 'final',
status: AIActionStatus.CONFIRMED_KEPT,
order_of_execution: toolResults.length,
original_content_for_revert: null,
tool_call_id: toolCall.id || null,
plain: plainText,
selections: args.selections || null,
});
await this.aiActionsRepository.save(actionEntity);
toolResults.push({
toolCallId: toolCall.id || '',
toolName,
result: 'Task completed.',
});
continue;
}
// Find handler
let handler = handlerRegistry.get(toolName);
if (!handler) {
// Check if this is an MCP tool call (serverName__toolName pattern)
// Same pattern as LlmTurnProcessorService
const mcpMatch = toolName.match(/^([^_]+)__(.+)$/);
Iif (mcpMatch) {
const [, serverName, toolNameRaw] = mcpMatch;
handler = new McpToolActionHandler(
serverName,
toolNameRaw,
mcpService,
'',
);
}
}
if (!handler) {
this.logger.warn(
`No handler found for tool: ${toolName}. Skipping.`,
);
const errorMsg = `Tool '${toolName}' is not a valid tool. Please use a valid tool.`;
toolResults.push({
toolCallId: toolCall.id || '',
toolName,
result: errorMsg,
});
// Create AIAction record for invalid tool
const actionEntity = this.aiActionsRepository.create({
input_id: modelInput.id,
sessionInput: { id: modelInput.id },
action_type: toolName,
status: AIActionStatus.EXECUTION_FAILED,
order_of_execution: toolResults.length,
original_content_for_revert: null,
tool_call_id: toolCall.id || null,
});
await this.aiActionsRepository.save(actionEntity);
continue;
}
// Execute handler
let result: ActionExecutionResult;
try {
result = await handler.execute(args, executionContext);
} catch (error) {
this.logger.error(
`Handler for ${toolName} failed: ${error.message}`,
);
result = {
status: 'FAILURE',
summary: `An unexpected error occurred: ${error.message}`,
error_message: error.message,
persisted_args: args,
};
}
// Create AIAction record
const successStatus =
this.getSuccessStatusForStrategy(executionStrategy);
const actionEntity = this.aiActionsRepository.create({
input_id: modelInput.id,
sessionInput: { id: modelInput.id },
action_type: toolName,
status:
result.status === 'SUCCESS'
? successStatus
: AIActionStatus.EXECUTION_FAILED,
order_of_execution: toolResults.length,
original_content_for_revert:
result.original_content_for_revert || null,
tool_call_id: toolCall.id || null,
...result.persisted_args,
});
const savedAction = await this.aiActionsRepository.save(actionEntity);
// Create execution log
if (result.execution_log) {
await this.executionLogsService.createLog({
action_id: savedAction.id,
output: result.execution_log.output,
error_message: result.execution_log.error_message,
});
}
// Collect tool result
const output = result.execution_log?.output || '';
const error =
result.execution_log?.error_message || result.error_message || '';
const combinedResult = error
? `${output}\n\nError: ${error}`.trim()
: output;
toolResults.push({
toolCallId: toolCall.id || '',
toolName,
result: combinedResult,
});
// Break if execution context halted
Iif (executionContext.flags.should_halt) {
this.logger.log(`Execution context halted. Ending sub-agent loop.`);
shouldBreak = true;
break;
}
}
// Add tool results to history
for (const tr of toolResults) {
history.push({
role: 'tool',
tool_call_id: tr.toolCallId,
tool_name: tr.toolName,
parts: [{ text: tr.result }],
});
}
// Persist tool results as a user-turn SessionInput
await this.sessionInputsRepository.save(
this.sessionInputsRepository.create({
session: { id: childSession.id },
role: 'user',
user_prompt: '',
execution_strategy: 'auto_apply',
raw_llm_response: null,
tool_calls: JSON.stringify(
toolResults.map((tr) => ({
id: tr.toolCallId,
type: 'function',
function: { name: tr.toolName, arguments: '{}' },
})),
),
}),
);
// Notify frontend that tool results are available
this.eventsGateway.sendToAll('refresh-ui', {
sessionId: childSession.id,
});
if (shouldBreak) {
break;
}
// Continue loop
}
// Max iterations reached
if (iterations >= MAX_ITERATIONS) {
this.logger.warn(
`Sub-agent "${agentName}" reached max iterations (${MAX_ITERATIONS}).`,
);
if (!finalContent) {
finalContent =
'Sub-agent reached maximum iterations without completing.';
success = false;
}
}
// Mark run as completed
await this.subAgentRunsService.markCompleted(
childSession.id,
finalContent.substring(0, 5000), // Truncate result for storage
);
// Notify frontend of final state
this.eventsGateway.sendToAll('refresh-ui', {
sessionId: childSession.id,
});
} catch (error) {
this.logger.error(
`Sub-agent "${agentName}" failed: ${error.message}`,
error.stack,
);
success = false;
finalContent = `Sub-agent "${agentName}" encountered an error: ${error.message}`;
// Mark run as failed
await this.subAgentRunsService.markFailed(childSession.id, error.message);
// Notify frontend of error state
this.eventsGateway.sendToAll('refresh-ui', {
sessionId: childSession.id,
});
}
const durationMs = Date.now() - startTime;
this.logger.log(
`Sub-agent "${agentName}" completed in ${durationMs}ms, ${iterations} iterations, success: ${success}`,
);
return {
content: finalContent,
success,
iterations,
childSessionId: childSession.id,
};
}
/**
* Resolve enabled MCP tool entries against all active tools.
* Each entry can be either:
* - An exact tool name: 'playwright__browser_navigate'
* - A server prefix: 'playwright' (matches all 'playwright__*' tools)
*/
private resolveMcpToolNames(
entries: string[],
allActiveMcpToolNames: string[],
): string[] {
const result: string[] = [];
for (const entry of entries) {
for (const toolName of allActiveMcpToolNames) {
Iif (toolName === entry || toolName.startsWith(entry + '__')) {
Iif (!result.includes(toolName)) {
result.push(toolName);
}
}
}
}
return result;
}
/**
* Reconstructs LlmContent[] history from existing SessionInput records.
/**
* Reconstructs LlmContent[] history from existing SessionInput records.
* Used when reusing a session to provide context continuity.
* Tool results are represented as user-role messages with tool call JSON.
*/
private reconstructHistory(inputs: SessionInput[]): LlmContent[] {
const history: LlmContent[] = [];
for (const input of inputs) {
if (input.role === 'user') {
const content: LlmContent = {
role: 'user',
parts: [{ text: input.user_prompt || input.raw_llm_response || '' }],
};
history.push(content);
} else if (input.role === 'model') {
const content: LlmContent = {
role: 'model',
parts: [{ text: input.raw_llm_response || '' }],
};
Iif (input.tool_calls) {
try {
const parsed = JSON.parse(input.tool_calls);
Iif (Array.isArray(parsed)) {
content.tool_calls = parsed;
}
} catch {
// Not valid JSON, skip
}
}
history.push(content);
}
// Skip other roles — they're represented as user/model turns
}
return history;
}
/**
* Calls LLM with exponential backoff retry.
*/
private async callWithRetry(
request: {
prompt: string;
systemInstruction: string;
history: LlmContent[];
modelId?: string;
tools?: any[];
abortController: AbortController;
},
sessionId: string,
): Promise<LlmResponse> {
const retryEnabled =
await this.applicationStateService.getLlmRetryEnabled();
const maxAttempts =
await this.applicationStateService.getLlmRetryMaxAttempts();
let lastError: Error | undefined;
let attempt = 1;
while (attempt <= maxAttempts) {
try {
Iif (attempt > 1) {
this.logger.log(
`Retry attempt ${attempt}/${maxAttempts} for sub-agent session ${sessionId}`,
);
}
return await this.llmProvider.generateContent({
...request,
abortController: request.abortController,
});
} catch (error) {
lastError = error as Error;
// Check for abort
Iif (error.name === 'AbortError' || error.code === 'ABORT_ERR') {
throw error;
}
const shouldRetry =
retryEnabled && attempt < maxAttempts && this.isRetryableError(error);
if (!shouldRetry) {
throw error;
}
const backoffMs = Math.pow(2, attempt - 1) * 1000;
this.logger.log(
`LLM call failed (attempt ${attempt}/${maxAttempts}): ${error.message}. Retrying in ${backoffMs}ms...`,
);
await new Promise((resolve) => setTimeout(resolve, backoffMs));
attempt++;
}
}
throw lastError;
}
private isRetryableError(error: any): boolean {
const errorMessage = error.message?.toLowerCase() || '';
const errorCode = error.code;
const status = error.status;
Iif (error.name === 'AbortError' || error.code === 'ABORT_ERR') return false;
const networkErrors = [
'ECONNRESET',
'ETIMEDOUT',
'ENOTFOUND',
'ENETUNREACH',
'ECONNREFUSED',
];
Iif (errorCode && networkErrors.includes(errorCode)) return true;
Iif (
status === 429 ||
errorMessage.includes('rate limit') ||
errorMessage.includes('too many requests')
)
return true;
Iif (status >= 500 && status < 600) return true;
Iif (
errorMessage.includes('empty response') ||
errorMessage.includes('timeout')
)
return true;
return false;
}
private getSuccessStatusForStrategy(strategy: string): AIActionStatus {
switch (strategy) {
case 'auto_apply':
return AIActionStatus.CONFIRMED_KEPT;
case 'review_first':
case 'apply_revert':
default:
return AIActionStatus.APPLIED_PENDING_REVIEW;
}
}
}
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