Files
open-gsio/packages/server/RequestContext.ts
geoffsee 497eb22ad8 change semantics
Update README deployment steps and add deploy:secrets script to package.json

update local inference script and README

update lockfile

reconfigure package scripts for development

update test execution

pass server tests

Update README with revised Bun commands and workspace details

remove pnpm package manager designator

create bun server
2025-06-04 18:45:08 -04:00

68 lines
2.2 KiB
TypeScript

import { types, Instance, getMembers } from "mobx-state-tree";
import ContactService from "./services/ContactService.ts";
import AssetService from "./services/AssetService.ts";
import MetricsService from "./services/MetricsService.ts";
import ChatService from "./services/ChatService.ts";
import TransactionService from "./services/TransactionService.ts";
import FeedbackService from "./services/FeedbackService.ts";
const RequestContext = types
.model("RequestContext", {
chatService: ChatService,
contactService: types.optional(ContactService, {}),
assetService: types.optional(AssetService, {}),
metricsService: types.optional(MetricsService, {}),
transactionService: types.optional(TransactionService, {}),
feedbackService: types.optional(FeedbackService, {}),
})
.actions((self) => {
const services = Object.keys(getMembers(self).properties);
return {
setEnv(env: Env) {
services.forEach((service) => {
if (typeof self[service]?.setEnv === "function") {
self[service].setEnv(env);
}
});
},
setCtx(ctx: ExecutionContext) {
services.forEach((service) => {
if (typeof self[service]?.setCtx === "function") {
self[service].setCtx(ctx);
}
});
},
};
});
export type IRootStore = Instance<typeof RequestContext>;
const createRequestContext = (env, ctx) => {
const instance = RequestContext.create({
contactService: ContactService.create({}),
assetService: AssetService.create({}),
transactionService: TransactionService.create({}),
feedbackService: FeedbackService.create({}),
metricsService: MetricsService.create({
isCollectingMetrics: true,
}),
chatService: ChatService.create({
openAIApiKey: env.OPENAI_API_KEY,
openAIBaseURL: env.OPENAI_API_ENDPOINT,
activeStreams: undefined,
maxTokens: 16384,
systemPrompt:
"You are an assistant designed to provide accurate, concise, and context-aware responses while demonstrating your advanced reasoning capabilities.",
}),
});
instance.setEnv(env);
instance.setCtx(ctx);
return instance;
};
export { createRequestContext };
export default RequestContext;