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Self-hosted Manifest LLM router with embedded server, SQLite database, and dashboard

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"use strict"; var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) { var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d; if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc); else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r; return c > 3 && r && Object.defineProperty(target, key, r), r; }; var __metadata = (this && this.__metadata) || function (k, v) { if (typeof Reflect === "object" && typeof Reflect.metadata === "function") return Reflect.metadata(k, v); }; Object.defineProperty(exports, "__esModule", { value: true }); exports.LlmCall = void 0; const typeorm_1 = require("typeorm"); const sql_dialect_1 = require("../common/utils/sql-dialect"); let LlmCall = class LlmCall { id; tenant_id; agent_id; turn_id; call_index; gen_ai_system; request_model; response_model; input_tokens; output_tokens; cache_read_tokens; cache_creation_tokens; duration_ms; ttft_ms; temperature; max_output_tokens; timestamp; }; exports.LlmCall = LlmCall; __decorate([ (0, typeorm_1.PrimaryColumn)('varchar'), __metadata("design:type", String) ], LlmCall.prototype, "id", void 0); __decorate([ (0, typeorm_1.Column)('varchar', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "tenant_id", void 0); __decorate([ (0, typeorm_1.Column)('varchar', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "agent_id", void 0); __decorate([ (0, typeorm_1.Column)('varchar', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "turn_id", void 0); __decorate([ (0, typeorm_1.Column)('integer', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "call_index", void 0); __decorate([ (0, typeorm_1.Column)('varchar', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "gen_ai_system", void 0); __decorate([ (0, typeorm_1.Column)('varchar', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "request_model", void 0); __decorate([ (0, typeorm_1.Column)('varchar', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "response_model", void 0); __decorate([ (0, typeorm_1.Column)('integer', { default: 0 }), __metadata("design:type", Number) ], LlmCall.prototype, "input_tokens", void 0); __decorate([ (0, typeorm_1.Column)('integer', { default: 0 }), __metadata("design:type", Number) ], LlmCall.prototype, "output_tokens", void 0); __decorate([ (0, typeorm_1.Column)('integer', { default: 0 }), __metadata("design:type", Number) ], LlmCall.prototype, "cache_read_tokens", void 0); __decorate([ (0, typeorm_1.Column)('integer', { default: 0 }), __metadata("design:type", Number) ], LlmCall.prototype, "cache_creation_tokens", void 0); __decorate([ (0, typeorm_1.Column)('integer', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "duration_ms", void 0); __decorate([ (0, typeorm_1.Column)('integer', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "ttft_ms", void 0); __decorate([ (0, typeorm_1.Column)('decimal', { precision: 3, scale: 2, nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "temperature", void 0); __decorate([ (0, typeorm_1.Column)('integer', { nullable: true }), __metadata("design:type", Object) ], LlmCall.prototype, "max_output_tokens", void 0); __decorate([ (0, typeorm_1.Column)((0, sql_dialect_1.timestampType)()), __metadata("design:type", String) ], LlmCall.prototype, "timestamp", void 0); exports.LlmCall = LlmCall = __decorate([ (0, typeorm_1.Entity)('llm_calls') ], LlmCall); //# sourceMappingURL=llm-call.entity.js.map