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Injectable,
NotFoundException,
Logger,
forwardRef,
Inject,
} from '@nestjs/common';
import { InjectRepository } from '@nestjs/typeorm';
import { Repository, In } from 'typeorm';
import {
Session,
SessionInput,
ContextTemplate,
AIAction,
ExecutionLog,
} from '../core-entities';
import {
CreateSessionInputDto,
UpdateSessionInputDto,
UpdateSessionInputContentDto,
BatchToggleDiscardedDto,
} from './dto/session-input.dto';
import {
AIActionsService,
AIActionStatus,
} from '../ai-actions/ai-actions.service';
import { SystemPromptsService } from '../system-prompts/system-prompts.service';
import { SessionInputContextService } from './session-input-context.service';
import { ApplicationStateService } from '../application-state/application-state.service';
import { ChatService } from '../interactive-chat/chat.service';
import { LlmResponsesService } from '../llm-responses/llm-responses.service';
function formatActionStatusForLLM(status: AIActionStatus): string {
switch (status) {
case AIActionStatus.CONFIRMED_KEPT:
return 'The user confirmed and kept the changes.';
case AIActionStatus.CONFIRMED_REVERTED:
return 'The user chose to revert the changes.';
case AIActionStatus.REJECTED_BEFORE_APPLY:
return 'The action was rejected by the user before being applied.';
case AIActionStatus.EXECUTION_FAILED:
return 'The action failed to execute.';
case AIActionStatus.REVERT_FAILED:
return 'Reverting the action failed.';
default:
return `The action's final status was '${status}'.`;
}
}
@Injectable()
export class SessionInputsService {
private readonly logger = new Logger(SessionInputsService.name);
constructor(
@InjectRepository(Session)
private sessionsRepository: Repository<Session>,
@InjectRepository(SessionInput)
private sessionInputsRepository: Repository<SessionInput>,
@InjectRepository(ContextTemplate)
private contextTemplatesRepository: Repository<ContextTemplate>,
@InjectRepository(AIAction)
private aiActionsRepository: Repository<AIAction>,
@InjectRepository(ExecutionLog)
private executionLogsRepository: Repository<ExecutionLog>,
@Inject(forwardRef(() => AIActionsService))
private readonly aiActionsService: AIActionsService,
private readonly systemPromptsService: SystemPromptsService,
private readonly sessionInputContextService: SessionInputContextService,
private readonly applicationStateService: ApplicationStateService,
@Inject(forwardRef(() => ChatService))
private readonly chatService: ChatService,
@Inject(forwardRef(() => LlmResponsesService))
private readonly llmResponsesService: LlmResponsesService,
) {}
private generatePreviousActionsSummary(session: Session): string {
if (!session.sessionInputs || session.sessionInputs.length === 0) {
return '';
}
const lastInput = session.sessionInputs[session.sessionInputs.length - 1];
Iif (
!lastInput ||
!lastInput.aiActions ||
lastInput.aiActions.length === 0
) {
return '';
}
const finalStatuses: string[] = [
AIActionStatus.REJECTED_BEFORE_APPLY,
AIActionStatus.CONFIRMED_KEPT,
AIActionStatus.CONFIRMED_REVERTED,
AIActionStatus.EXECUTION_FAILED,
AIActionStatus.REVERT_FAILED,
];
const finalActions = lastInput.aiActions.filter((action: AIAction) =>
finalStatuses.includes(action.status),
);
Iif (finalActions.length === 0) {
return '';
}
return (
'Summary of the results from your previous plan:\n' +
finalActions
.map(
(action) =>
`- For the action \`${action.action_type}\` on \`${
action.file_path || action.command_string || 'N/A'
}\`: ${formatActionStatusForLLM(action.status as AIActionStatus)}`,
)
.join('\n')
);
}
/**
* Generates the full context string for a given session input DTO WITHOUT
* creating a SessionInput entity or triggering an LLM call.
* This is useful for pre-validating context size before creating a follow-up.
*
* @param sessionId - The session ID to generate context for
* @param createSessionInputDto - The input data to generate context from
* @returns The generated context string
*/
async generateContextString(
sessionId: string,
createSessionInputDto: CreateSessionInputDto,
): Promise<string> {
const session = await this.sessionsRepository.findOne({
where: { id: sessionId },
relations: ['systemPrompt', 'sessionInputs', 'sessionInputs.aiActions'],
order: {
sessionInputs: {
created_at: 'ASC',
},
},
});
Iif (!session) {
throw new NotFoundException(`Session with ID "${sessionId}" not found`);
}
let contextTemplate: ContextTemplate | null = null;
Iif (createSessionInputDto.context_template_id) {
contextTemplate = await this.contextTemplatesRepository.findOneBy({
id: createSessionInputDto.context_template_id,
});
}
const previous_actions_summary =
this.generatePreviousActionsSummary(session);
const generated_context_string =
await this.sessionInputContextService.generateContext(
createSessionInputDto,
contextTemplate,
previous_actions_summary,
);
return generated_context_string;
}
async create(
sessionId: string,
createSessionInputDto: CreateSessionInputDto,
): Promise<SessionInput | null> {
const isManualFlow =
await this.applicationStateService.getManualLlmEnabled();
// Check skip_persistence flag for native tool calling follow-ups
Iif (createSessionInputDto.skip_persistence) {
this.logger.log(
`Triggering follow-up for session ${sessionId} without persistence.`,
);
// For follow-ups, use empty context or minimal prompt
const generated_context_string = createSessionInputDto.user_prompt || '';
// Trigger LLM call directly without creating SessionInput
this.chatService
.sendMessage(sessionId, generated_context_string, isManualFlow)
.catch((err) => {
this.logger.error(
`LLM follow-up call failed for session ${sessionId}: ${err.message}`,
err.stack,
);
});
return null; // No SessionInput created
}
// Normal flow: Create SessionInput with persistence
this.logger.log(
`Creating new session input for session ${sessionId}. Manual flow: ${isManualFlow}`,
);
const session = await this.sessionsRepository.findOne({
where: { id: sessionId },
relations: ['systemPrompt', 'sessionInputs', 'sessionInputs.aiActions'],
order: {
sessionInputs: {
created_at: 'ASC',
},
},
});
if (!session) {
throw new NotFoundException(`Session with ID "${sessionId}" not found`);
}
let contextTemplate: ContextTemplate | null = null;
Iif (createSessionInputDto.context_template_id) {
contextTemplate = await this.contextTemplatesRepository.findOneBy({
id: createSessionInputDto.context_template_id,
});
}
const previous_actions_summary =
this.generatePreviousActionsSummary(session);
const generated_context_string =
await this.sessionInputContextService.generateContext(
createSessionInputDto,
contextTemplate,
previous_actions_summary,
);
const newSessionInputEntity = this.sessionInputsRepository.create({
...createSessionInputDto,
session: { id: sessionId },
contextTemplate: contextTemplate,
generated_context_string: generated_context_string,
raw_llm_response: null, // Always start with null
role: 'user', // Explicitly set role for user-initiated turns
});
const savedSessionInput = await this.sessionInputsRepository.save(
newSessionInputEntity,
);
await this.applicationStateService.setActiveSessionId(sessionId);
// Trigger the appropriate flow. This is now a fire-and-forget background task.
this.chatService
.sendMessage(sessionId, generated_context_string, isManualFlow)
.catch((err) => {
this.logger.error(
`LLM call failed for input ID ${savedSessionInput.id}: ${err.message}`,
err.stack,
);
});
return savedSessionInput;
}
async createFromRawLlmResponse(): Promise<SessionInput> {
throw new Error(
'This method is deprecated and its logic has moved to LlmResponsesService.',
);
}
async findAllBySessionId(sessionId: string): Promise<SessionInput[]> {
const session = await this.sessionsRepository.findOneBy({ id: sessionId });
Iif (!session) {
throw new NotFoundException(`Session with ID "${sessionId}" not found`);
}
return this.sessionInputsRepository.find({
where: { session: { id: sessionId } },
relations: ['contextTemplate', 'aiActions', 'aiActions.executionLogs'],
order: {
created_at: 'ASC',
aiActions: {
order_of_execution: 'ASC',
},
},
});
}
async findOne(sessionId: string, inputId: string): Promise<SessionInput> {
const sessionInput = await this.sessionInputsRepository.findOne({
where: { id: inputId, session: { id: sessionId } },
relations: ['contextTemplate', 'aiActions', 'aiActions.executionLogs'],
order: {
aiActions: {
order_of_execution: 'ASC',
},
},
});
if (!sessionInput) {
throw new NotFoundException(
`SessionInput with ID "${inputId}" not found in Session "${sessionId}"`,
);
}
return sessionInput;
}
async removeUntilHere(sessionId: string, inputId: string): Promise<void> {
const session = await this.sessionsRepository.findOne({
where: { id: sessionId },
relations: ['sessionInputs', 'sessionInputs.aiActions'],
order: {
sessionInputs: {
created_at: 'ASC',
},
},
});
Iif (!session) {
throw new NotFoundException(`Session with ID "${sessionId}" not found`);
}
const targetIndex = session.sessionInputs.findIndex(
(input) => input.id === inputId,
);
Iif (targetIndex === -1) {
throw new NotFoundException(
`SessionInput with ID "${inputId}" not found in Session "${sessionId}"`,
);
}
const inputsToDelete = session.sessionInputs.slice(targetIndex + 1);
Iif (inputsToDelete.length === 0) {
this.logger.log(
`No inputs after ${inputId} to delete in Session ${sessionId}.`,
);
return;
}
const idsToDelete = inputsToDelete.map((input) => input.id);
// Delete all inputs after the selected one
// Cascade delete will handle associated AI actions
const deleteResult = await this.sessionInputsRepository.delete(idsToDelete);
this.logger.log(
`Deleted ${deleteResult.affected} SessionInputs (from ${idsToDelete[0]} onwards) from Session ${sessionId}.`,
);
}
async remove(sessionId: string, inputId: string): Promise<void> {
const sessionInput = await this.findOne(sessionId, inputId);
await this.sessionInputsRepository.remove(sessionInput);
this.logger.log(
`Deleted SessionInput ${inputId} from Session ${sessionId}.`,
);
}
async retry(
sessionId: string,
inputId: string,
updateSessionInputDto: UpdateSessionInputDto,
): Promise<SessionInput> {
this.logger.log(
`Retrying SessionInput ${inputId} for Session ${sessionId}.`,
);
const sessionInput = await this.sessionInputsRepository.findOne({
where: { id: inputId, session: { id: sessionId } },
relations: ['session', 'session.systemPrompt'],
});
Iif (!sessionInput) {
throw new NotFoundException(
`SessionInput with ID "${inputId}" not found in Session "${sessionId}"`,
);
}
// Update the prompt and optionally context template
Iif (updateSessionInputDto.user_prompt) {
sessionInput.user_prompt = updateSessionInputDto.user_prompt;
}
let contextTemplate: ContextTemplate | null = null;
Iif (updateSessionInputDto.context_template_id) {
contextTemplate = await this.contextTemplatesRepository.findOneBy({
id: updateSessionInputDto.context_template_id,
});
sessionInput.contextTemplate = contextTemplate;
}
// Regenerate context string if prompt changed
const generated_context_string =
await this.sessionInputContextService.generateContext(
{
user_prompt: sessionInput.user_prompt,
context_template_id:
contextTemplate?.id || sessionInput.context_template_id,
ad_hoc_context_definition:
updateSessionInputDto.ad_hoc_context_definition ||
sessionInput.ad_hoc_context_definition,
execution_strategy:
updateSessionInputDto.execution_strategy ||
sessionInput.execution_strategy,
},
contextTemplate,
'', // No previous actions summary on retry
);
// Reset LLM response fields
sessionInput.generated_context_string = generated_context_string;
sessionInput.raw_llm_response = null;
sessionInput.llm_response_explanation = null;
sessionInput.tool_calls = null;
sessionInput.thoughts = null;
sessionInput.error_message = null;
// Update timestamps
sessionInput.updated_at = new Date();
// Save the updated input
const updatedSessionInput =
await this.sessionInputsRepository.save(sessionInput);
// Clear any existing AI actions for this input
await this.aiActionsService.deleteAllByInputId(inputId);
// Trigger the LLM call again
const isManualFlow =
await this.applicationStateService.getManualLlmEnabled();
this.chatService
.sendMessage(sessionId, generated_context_string, isManualFlow)
.catch((err) => {
this.logger.error(
`LLM retry failed for input ID ${updatedSessionInput.id}: ${err.message}`,
err.stack,
);
});
return this.findOne(sessionId, updatedSessionInput.id);
}
async regenerateAiResponse(
sessionId: string,
inputId: string,
): Promise<SessionInput> {
this.logger.log(
`Regenerating AI response for SessionInput ${inputId} in Session ${sessionId}.`,
);
const sessionInput = await this.sessionInputsRepository.findOne({
where: { id: inputId, session: { id: sessionId } },
relations: ['session'],
});
if (!sessionInput) {
throw new NotFoundException(
`SessionInput with ID "${inputId}" not found in Session "${sessionId}"`,
);
}
// Find all inputs ordered by sequence_number
const allInputs = await this.sessionInputsRepository.find({
where: { session: { id: sessionId } },
order: { sequence_number: 'ASC' },
});
const currentIndex = allInputs.findIndex(
(input) => input.id === sessionInput.id,
);
Iif (currentIndex === -1) {
throw new NotFoundException(
`SessionInput ${inputId} not found in session inputs list.`,
);
}
// Find the preceding user input that has generated_context_string
let contextString: string | null = null;
for (let i = currentIndex - 1; i >= 0; i--) {
if (
allInputs[i].role === 'user' &&
allInputs[i].generated_context_string
) {
contextString = allInputs[i].generated_context_string;
break;
}
}
if (!contextString) {
throw new Error(
`No preceding user input with generated_context_string found for SessionInput ${inputId}. Cannot regenerate.`,
);
}
// Delete subsequent inputs if any exist
const subsequentInputs = allInputs.slice(currentIndex + 1);
if (subsequentInputs.length > 0) {
const idsToDelete = subsequentInputs.map((input) => input.id);
this.logger.log(
`Deleting ${idsToDelete.length} subsequent inputs for regeneration.`,
);
await this.sessionInputsRepository.delete(idsToDelete);
}
// Delete all existing AI actions for this input
await this.aiActionsService.deleteAllByInputId(inputId);
// Clear AI response fields
sessionInput.raw_llm_response = null;
sessionInput.thoughts = null;
sessionInput.tool_calls = null;
sessionInput.llm_response_explanation = null;
sessionInput.error_message = null;
sessionInput.input_token_count = null;
sessionInput.output_token_count = null;
sessionInput.cached_token_count = null;
await this.sessionInputsRepository.save(sessionInput);
// Trigger the LLM call with the existing input ID
const isManualFlow =
await this.applicationStateService.getManualLlmEnabled();
this.chatService
.sendMessage(sessionId, contextString, isManualFlow, inputId)
.catch((err) => {
this.logger.error(
`LLM regeneration failed for input ID ${inputId}: ${err.message}`,
err.stack,
);
});
return this.findOne(sessionId, inputId);
}
/**
* Silent update of input content without triggering LLM regeneration.
* Use for redacting sensitive data or compressing session history.
*/
async updateContent(
sessionId: string,
inputId: string,
updateDto: UpdateSessionInputContentDto,
): Promise<SessionInput> {
this.logger.log(
`Silent update of SessionInput ${inputId} in Session ${sessionId}.`,
);
const input = await this.findOne(sessionId, inputId);
// Apply content updates
if (updateDto.user_prompt !== undefined) {
input.user_prompt = updateDto.user_prompt;
}
if (updateDto.raw_llm_response !== undefined) {
input.raw_llm_response = updateDto.raw_llm_response;
}
Iif (updateDto.llm_response_explanation !== undefined) {
input.llm_response_explanation = updateDto.llm_response_explanation;
}
if (updateDto.generated_context_string !== undefined) {
input.generated_context_string = updateDto.generated_context_string;
}
if (updateDto.thoughts !== undefined) {
input.thoughts = updateDto.thoughts;
}
// Save the updated input
await this.sessionInputsRepository.save(input);
// Update tool execution logs if provided
if (updateDto.tool_results && updateDto.tool_results.length > 0) {
await this.updateToolResults(inputId, updateDto.tool_results);
}
this.logger.log(`Silent update complete for SessionInput ${inputId}.`);
return this.findOne(sessionId, inputId);
}
/**
* Update tool execution log outputs for redaction purposes.
*/
private async updateToolResults(
inputId: string,
toolResults: { tool_call_id: string; output: string }[],
): Promise<void> {
for (const tr of toolResults) {
// Find AIAction by tool_call_id
const action = await this.aiActionsRepository.findOne({
where: { input_id: inputId, tool_call_id: tr.tool_call_id },
relations: ['executionLogs'],
});
if (action && action.executionLogs && action.executionLogs.length > 0) {
// Update the first execution log's output
action.executionLogs[0].output = tr.output;
await this.executionLogsRepository.save(action.executionLogs[0]);
this.logger.log(
`Updated execution log for tool_call_id ${tr.tool_call_id}`,
);
} else {
this.logger.warn(
`No execution log found for tool_call_id ${tr.tool_call_id} in input ${inputId}`,
);
}
}
}
/**
* Batch toggle is_discarded flag for multiple inputs.
* Used to exclude/include inputs from LLM context.
*/
async toggleDiscardedBatch(
sessionId: string,
dto: BatchToggleDiscardedDto,
): Promise<{ affected: number }> {
// Verify all inputs belong to the session
const inputs = await this.sessionInputsRepository.find({
where: { id: In(dto.input_ids), session: { id: sessionId } },
});
if (inputs.length === 0) {
throw new NotFoundException(
`No inputs found with provided IDs in session ${sessionId}`,
);
}
// Update is_discarded flag
const updateResult = await this.sessionInputsRepository.update(
{ id: In(inputs.map((i) => i.id)) },
{ is_discarded: dto.is_discarded },
);
this.logger.log(
`Toggled is_discarded=${dto.is_discarded} for ${updateResult.affected} inputs in session ${sessionId}`,
);
return { affected: updateResult.affected || 0 };
}
}
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