Files
twenty/packages/twenty-server/src/engine/metadata-modules/agent/agent-execution.service.ts
T

293 lines
9.6 KiB
TypeScript

import { Injectable, Logger } from '@nestjs/common';
import { InjectRepository } from '@nestjs/typeorm';
import {
convertToModelMessages,
LanguageModelUsage,
stepCountIs,
streamText,
ToolSet,
UIDataTypes,
UIMessage,
UITools,
} from 'ai';
import { AppPath } from 'twenty-shared/types';
import { getAppPath } from 'twenty-shared/utils';
import { In, Repository } from 'typeorm';
import { getAllSelectableFields } from 'src/engine/api/utils/get-all-selectable-fields.utils';
import { AIBillingService } from 'src/engine/core-modules/ai/services/ai-billing.service';
import { AiModelRegistryService } from 'src/engine/core-modules/ai/services/ai-model-registry.service';
import { DomainManagerService } from 'src/engine/core-modules/domain-manager/services/domain-manager.service';
import { FileEntity } from 'src/engine/core-modules/file/entities/file.entity';
import { FileService } from 'src/engine/core-modules/file/services/file.service';
import { type Workspace } from 'src/engine/core-modules/workspace/workspace.entity';
import { AgentHandoffToolService } from 'src/engine/metadata-modules/agent/agent-handoff-tool.service';
import { AGENT_CONFIG } from 'src/engine/metadata-modules/agent/constants/agent-config.const';
import { AGENT_SYSTEM_PROMPTS } from 'src/engine/metadata-modules/agent/constants/agent-system-prompts.const';
import { type RecordIdsByObjectMetadataNameSingularType } from 'src/engine/metadata-modules/agent/types/recordIdsByObjectMetadataNameSingular.type';
import { getObjectMetadataMapItemByNameSingular } from 'src/engine/metadata-modules/utils/get-object-metadata-map-item-by-name-singular.util';
import { WorkspacePermissionsCacheService } from 'src/engine/metadata-modules/workspace-permissions-cache/workspace-permissions-cache.service';
import { TwentyORMGlobalManager } from 'src/engine/twenty-orm/twenty-orm-global.manager';
import { AgentToolGeneratorService } from './agent-tool-generator.service';
import { AgentEntity } from './agent.entity';
import { AgentException, AgentExceptionCode } from './agent.exception';
export interface AgentExecutionResult {
result: object;
usage: LanguageModelUsage;
}
@Injectable()
export class AgentExecutionService {
private readonly logger = new Logger(AgentExecutionService.name);
constructor(
private readonly agentHandoffToolService: AgentHandoffToolService,
private readonly fileService: FileService,
private readonly domainManagerService: DomainManagerService,
private readonly twentyORMGlobalManager: TwentyORMGlobalManager,
private readonly workspacePermissionsCacheService: WorkspacePermissionsCacheService,
private readonly aiModelRegistryService: AiModelRegistryService,
private readonly agentToolGeneratorService: AgentToolGeneratorService,
private readonly aiBillingService: AIBillingService,
@InjectRepository(AgentEntity)
private readonly agentRepository: Repository<AgentEntity>,
@InjectRepository(FileEntity)
private readonly fileRepository: Repository<FileEntity>,
) {}
async prepareAIRequestConfig({
messages,
system,
agent,
}: {
system: string;
agent: AgentEntity | null;
messages: UIMessage<unknown, UIDataTypes, UITools>[];
}) {
try {
if (agent) {
this.logger.log(
`Preparing AI request config for agent ${agent.id} with model ${agent.modelId}`,
);
}
const registeredModel =
await this.aiModelRegistryService.resolveModelForAgent(agent);
let tools: ToolSet = {};
if (agent) {
const baseTools =
await this.agentToolGeneratorService.generateToolsForAgent(
agent.id,
agent.workspaceId,
);
const handoffTools =
await this.agentHandoffToolService.generateHandoffTools(
agent.id,
agent.workspaceId,
);
tools = { ...baseTools, ...handoffTools };
}
this.logger.log(`Generated ${Object.keys(tools).length} tools for agent`);
return {
system,
tools,
model: registeredModel.model,
messages: convertToModelMessages(messages),
stopWhen: stepCountIs(AGENT_CONFIG.MAX_STEPS),
...(registeredModel.doesSupportThinking && {
providerOptions: {
anthropic: {
thinking: {
type: 'enabled',
budgetTokens: AGENT_CONFIG.REASONING_BUDGET_TOKENS,
},
},
},
}),
};
} catch (error) {
this.logger.error(
`Failed to prepare AI request config for agent ${agent?.id ?? 'no agent'}`,
error instanceof Error ? error.stack : error,
);
throw error;
}
}
private async getContextForSystemPrompt(
workspace: Workspace,
recordIdsByObjectMetadataNameSingular: RecordIdsByObjectMetadataNameSingularType,
userWorkspaceId: string,
) {
const roleId =
await this.workspacePermissionsCacheService.getRoleIdFromUserWorkspaceId({
workspaceId: workspace.id,
userWorkspaceId,
});
if (!roleId) {
throw new AgentException(
'Failed to retrieve user role.',
AgentExceptionCode.ROLE_NOT_FOUND,
);
}
const workspaceDataSource =
await this.twentyORMGlobalManager.getDataSourceForWorkspace({
workspaceId: workspace.id,
});
const objectMetadataMaps =
workspaceDataSource.internalContext.objectMetadataMaps;
const objectMetadataPermissions = workspaceDataSource.permissionsPerRoleId;
const contextObject = (
await Promise.all(
recordIdsByObjectMetadataNameSingular.map(
async (recordsWithObjectMetadataNameSingular) => {
if (recordsWithObjectMetadataNameSingular.recordIds.length === 0) {
return [];
}
const objectMetadataMapItem =
getObjectMetadataMapItemByNameSingular(
objectMetadataMaps,
recordsWithObjectMetadataNameSingular.objectMetadataNameSingular,
);
if (!objectMetadataMapItem) {
this.logger.warn(
`Object metadata not found for ${recordsWithObjectMetadataNameSingular.objectMetadataNameSingular}`,
);
return [];
}
const repository = workspaceDataSource.getRepository(
recordsWithObjectMetadataNameSingular.objectMetadataNameSingular,
false,
roleId,
);
const restrictedFields =
objectMetadataPermissions?.[roleId]?.[objectMetadataMapItem.id]
?.restrictedFields ?? {};
const hasRestrictedFields = Object.values(restrictedFields).some(
(field) => field.canRead === false,
);
const selectOptions = hasRestrictedFields
? getAllSelectableFields({
restrictedFields,
objectMetadata: { objectMetadataMapItem },
})
: undefined;
return (
await repository.find({
...(selectOptions && { select: selectOptions }),
where: {
id: In(recordsWithObjectMetadataNameSingular.recordIds),
},
})
).map((record) => {
return {
...record,
resourceUrl: this.domainManagerService.buildWorkspaceURL({
workspace,
pathname: getAppPath(AppPath.RecordShowPage, {
objectNameSingular:
recordsWithObjectMetadataNameSingular.objectMetadataNameSingular,
objectRecordId: record.id,
}),
}),
};
});
},
),
)
).flat(2);
return JSON.stringify(contextObject);
}
async streamChatResponse({
workspace,
userWorkspaceId,
agentId,
messages,
recordIdsByObjectMetadataNameSingular,
}: {
workspace: Workspace;
userWorkspaceId: string;
agentId: string;
messages: UIMessage<unknown, UIDataTypes, UITools>[];
recordIdsByObjectMetadataNameSingular: RecordIdsByObjectMetadataNameSingularType;
}) {
try {
const agent = await this.agentRepository.findOneOrFail({
where: { id: agentId },
});
let contextString = '';
if (recordIdsByObjectMetadataNameSingular.length > 0) {
const contextPart = await this.getContextForSystemPrompt(
workspace,
recordIdsByObjectMetadataNameSingular,
userWorkspaceId,
);
contextString = `\n\nCONTEXT:\n${contextPart}`;
}
const aiRequestConfig = await this.prepareAIRequestConfig({
system: `${AGENT_SYSTEM_PROMPTS.AGENT_CHAT}\n\n${agent.prompt}${contextString}`,
agent,
messages,
});
this.logger.log(
`Sending request to AI model with ${messages.length} messages`,
);
const model =
await this.aiModelRegistryService.resolveModelForAgent(agent);
const stream = streamText(aiRequestConfig);
stream.usage
.then((usage) => {
this.aiBillingService.calculateAndBillUsage(
model.modelId,
usage,
workspace.id,
);
})
.catch((usageError) => {
this.logger.error('Failed to get usage information:', usageError);
});
return stream;
} catch (error) {
this.logger.error('Error in streamChatResponse:', error);
throw new AgentException(
error instanceof Error
? error.message
: 'Failed to stream chat response',
AgentExceptionCode.AGENT_EXECUTION_FAILED,
);
}
}
}