diff --git a/.env.example b/.env.example
index 0b229f0..ba71d1a 100644
--- a/.env.example
+++ b/.env.example
@@ -46,11 +46,18 @@ CLOUDFLARE_ACCOUNT_ID=abcdef1234567890abcdef1234567890
 
 CLOUDFLARE_ACCOUNT_TOKEN=v1.0-abcdef1234567890abcdef1234567890abcdef1234567890abcdef1234567890
 
+# OpenAI API: Specify an OpenAI account token for use with the OpenAI API.
+OPENAI_ACCOUNT_TOKEN=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+
 # The following variables specify instruction sets and configuration for the various models in SpongeChat.
 ## The value of the variable should correspond to the key of its' responding configuration in modelConstants.js.
 MODEL_LLM_PRESET=default
+## Callsystems are used to call functions during passive activation.
+## Integrations is the newer, flexible function system. They are easily extendable, but require the use of the OpenAI API to determine function calls.
+## Legacy is the older function system and only supports image generation. Use this if you can't use the OpenAI API.
+MODEL_LLM_CALLSYSTEM=integrations
 
-# !! Wastebin 
+# !! Wastebin
 # Used to display logs of memories for users
 ## In a docker-compose setup, you'll need to set up some sort of proxy (caddy, cloudflare tunnel) to make the "wastebin" container publicly accessible, and put the publicly accessible URL here.
 
diff --git a/bun.lockb b/bun.lockb
index 82d18f1..8da124c 100644
Binary files a/bun.lockb and b/bun.lockb differ
diff --git a/package.json b/package.json
index 8a4f398..6734e02 100644
--- a/package.json
+++ b/package.json
@@ -1,45 +1,48 @@
 {
-    "$schema": "https://json.schemastore.org/package.json",
-    "name": "spongechat",
-    "version": "2.0.1",
-    "private": true,
-    "type": "module",
-    "scripts": {
-        "lint": "prettier --check . && eslint --ext .js,.mjs,.cjs --format=pretty src",
-        "format": "prettier --write . && eslint --ext .js,.mjs,.cjs --fix --format=pretty src",
-        "start": "node --require dotenv/config src/index.js",
-        "cmd:undeploy": "node --require dotenv/config src/util/deploy/cli.js undeploy",
-        "cmd:deploy": "node --require dotenv/config src/util/deploy/cli.js deploy",
-        "ci:release": "dotenv -e .env -- release-it --config .release-it.cjs"
-    },
-    "_moduleAliases": {
-        "@": "./src",
-        "@util": "./src/util",
-        "@events": "./src/events",
-        "@commands": "./src/commands"
-    },
-    "dependencies": {
-        "@discordjs/core": "^1.1.0",
-        "@redis/json": "^1.0.6",
-        "chalk": "4",
-        "discord.js": "^14.15.2",
-        "dotenv": "^16.3.1",
-        "luxon": "^3.4.4",
-        "module-alias": "^2.2.3",
-        "redis": "^4.6.13",
-        "temporal-polyfill": "^0.2.4",
-        "undici": "^6.16.1",
-        "uuid": "^9.0.1"
-    },
-    "devDependencies": {
-        "@release-it/conventional-changelog": "^8.0.1",
-        "all-contributors-cli": "^6.26.1",
-        "dotenv-cli": "^7.4.2",
-        "eslint": "^8.53.0",
-        "eslint-config-neon": "^0.1.57",
-        "eslint-formatter-pretty": "^5.0.0",
-        "execa": "^9.1.0",
-        "prettier": "^3.0.3",
-        "release-it": "^17"
-    }
+  "$schema": "https://json.schemastore.org/package.json",
+  "name": "spongechat",
+  "version": "2.0.1",
+  "private": true,
+  "type": "module",
+  "scripts": {
+    "lint": "prettier --check . && eslint --ext .js,.mjs,.cjs --format=pretty src",
+    "format": "prettier --write . && eslint --ext .js,.mjs,.cjs --fix --format=pretty src",
+    "start": "node --require dotenv/config src/index.js",
+    "cmd:undeploy": "node --require dotenv/config src/util/deploy/cli.js undeploy",
+    "cmd:deploy": "node --require dotenv/config src/util/deploy/cli.js deploy",
+    "ci:release": "dotenv -e .env -- release-it --config .release-it.cjs"
+  },
+  "_moduleAliases": {
+    "@": "./src",
+    "@util": "./src/util",
+    "@events": "./src/events",
+    "@commands": "./src/commands"
+  },
+  "dependencies": {
+    "@ai-sdk/openai": "^0.0.13",
+    "@discordjs/core": "^1.1.0",
+    "@redis/json": "^1.0.6",
+    "ai": "^3.1.12",
+    "chalk": "4",
+    "discord.js": "^14.15.2",
+    "dotenv": "^16.3.1",
+    "luxon": "^3.4.4",
+    "module-alias": "^2.2.3",
+    "redis": "^4.6.13",
+    "temporal-polyfill": "^0.2.4",
+    "undici": "^6.16.1",
+    "uuid": "^9.0.1",
+    "zod": "^3.23.8"
+  },
+  "devDependencies": {
+    "@release-it/conventional-changelog": "^8.0.1",
+    "all-contributors-cli": "^6.26.1",
+    "dotenv-cli": "^7.4.2",
+    "eslint": "^8.53.0",
+    "eslint-config-neon": "^0.1.57",
+    "eslint-formatter-pretty": "^5.0.0",
+    "execa": "^9.1.0",
+    "prettier": "^3.0.3",
+    "release-it": "^17"
+  }
 }
diff --git a/src/commands/instructionSet.js b/src/commands/instructionSet.js
index 7a926a6..8a050d7 100644
--- a/src/commands/instructionSet.js
+++ b/src/commands/instructionSet.js
@@ -11,7 +11,7 @@ export default {
 			o
 				.setName("preset")
 				.setDescription("Preset; map to => client.tempStore#instructionSet")
-				.setChoices(Object.keys(instructionSets).map((s) => ({ name: s, value: s })))
+				.setChoices(Object.keys(instructionSets).map((s) => ({ name: instructionSets[s]?.name || s, value: s })))
 				.setRequired(true),
 		)
 		.toJSON(),
@@ -35,7 +35,7 @@ export default {
 		});
 
 		console.log(
-			`${chalk.bold.green("AI")} Instruction set preset changed to ${chalk.bold(toOption)} (${Temporal.Now.instant().toLocaleString("en-GB", { timeZone: "Etc/UTC", timeZoneName: "short" })})`,
+			`${chalk.bold.green("AI")} Instruction set preset changed to ${chalk.bold(instructionSets[toOption]?.name || toOption)} (${Temporal.Now.instant().toLocaleString("en-GB", { timeZone: "Etc/UTC", timeZoneName: "short" })})`,
 		);
 
 		if (sync) {
diff --git a/src/events/messageCreate.js b/src/events/messageCreate.js
index af098be..06355b6 100644
--- a/src/events/messageCreate.js
+++ b/src/events/messageCreate.js
@@ -9,7 +9,9 @@ const callTextChannel = async ({ client, message }) => {
 		baseHistory: [],
 		accountId: process.env.CLOUDFLARE_ACCOUNT_ID,
 		token: process.env.CLOUDFLARE_ACCOUNT_TOKEN,
+		openaiToken: process.env.OPENAI_ACCOUNT_TOKEN,
 		model: "@cf/meta/llama-3-8b-instruct",
+		callsystem: process.env.MODEL_LLM_CALLSYSTEM || "legacy",
 	});
 
 	const preliminaryConditions = modelInteractions.messageEvent.checkPreliminaryConditions();
@@ -40,20 +42,45 @@ const callTextChannel = async ({ client, message }) => {
 		})
 		.catch(console.error);
 
-	const { textResponse, genData, callResponse } = await modelInteractions.messageEvent.handleTextModelCall({ history });
+	const { legacy, runners, response } = await modelInteractions.messageEvent.preSend({ history });
 
-	if (callResponse.length === 0 || callResponse === "") return await message.react("⚠️").catch(() => false);
+	if (legacy?.active) {
+		const { textResponse, genData, callResponse } = legacy;
+		if (callResponse.length === 0 || callResponse === "") return await message.react("⚠️").catch(() => false);
 
-	const { responseMsg, events } = await modelInteractions.messageEvent.createResponse({
-		textResponse,
-		conditions: {
-			amnesia: !validityCheck?.valid && validityCheck?.handled?.isRequired && validityCheck?.handled?.executed,
-			imagine: callResponse.includes("!gen"),
-		},
-	});
+		const { responseMsg, events } = await modelInteractions.messageEvent.createLegacyResponse({
+			textResponse,
+			conditions: {
+				amnesia: !validityCheck?.valid && validityCheck?.handled?.isRequired && validityCheck?.handled?.executed,
+				imagine: callResponse.includes("!gen"),
+			},
+		});
+
+		if (responseMsg && callResponse.includes("!gen"))
+			return await modelInteractions.messageEvent.handleLegacyImageModelCall({
+				genData,
+				textResponse,
+				responseMsg,
+				events,
+			});
+
+		return;
+	}
+
+	if (response?.length === 0 || response === "") return await message.react("⚠️").catch(() => false);
 
-	if (responseMsg && callResponse.includes("!gen"))
-		return await modelInteractions.messageEvent.handleImageModelCall({ genData, textResponse, responseMsg, events });
+	const replyContent = modelInteractions.response.format(response);
+	const reply = await message
+		.reply({ content: replyContent.content, files: replyContent.files, failIfNotExists: true })
+		.catch(() => false);
+
+	if (runners.length > 0) {
+		const postRunners = await modelInteractions.messageEvent.postSend({ runners, message: reply });
+		const mergedFiles = [...replyContent.files, ...postRunners.results];
+		return await reply
+			.edit({ content: replyContent.content, files: mergedFiles, failIfNotExists: true })
+			.catch(() => false);
+	}
 };
 
 /** @type {import('./index.js').Event<Events.MessageCreate>} */
diff --git a/src/events/ready.js b/src/events/ready.js
index 2ca292a..dd7227e 100644
--- a/src/events/ready.js
+++ b/src/events/ready.js
@@ -1,6 +1,7 @@
 import { Events } from "discord.js";
 import { Environment } from "../util/helpers.js";
 import { createClient } from "redis";
+import { instructionSets } from "../util/models/constants.js";
 import chalk from "chalk";
 
 const env = new Environment();
@@ -42,7 +43,9 @@ export default {
 		client.tempStore.set("instructionSet", instructionSet);
 
 		console.log(`${chalk.bold.green("AI")} Silent mode is ${chalk.bold(silentSaved ? "enabled" : "disabled")}`);
-		console.log(`${chalk.bold.green("AI")} Instruction set is ${chalk.bold(instructionSet)}`);
+		console.log(
+			`${chalk.bold.green("AI")} Instruction set is ${chalk.bold(instructionSets[instructionSet]?.name || instructionSet)}`,
+		);
 
 		console.log(
 			`${chalk.bold.green("Core")} acting as ${chalk.bold(client.user.tag)} (${Temporal.Now.instant().toLocaleString("en-GB", { timeZone: "Etc/UTC", timeZoneName: "short" })})`,
diff --git a/src/index.js b/src/index.js
index 869af27..5ad03cb 100644
--- a/src/index.js
+++ b/src/index.js
@@ -12,7 +12,10 @@ import "temporal-polyfill/global";
 
 (() => {
 	console.log(`${chalk.bold.green("Core")} running with environment context: ${chalk.bold(process.env.NODE_ENV)}`);
-	console.log(`${chalk.bold.magenta("AI")} running with LLM preset: ${chalk.bold(process.env.MODEL_LLM_PRESET)}`);
+	if (process.env.MODEL_LLM_CALLSYSTEM !== "integrations")
+		console.log(
+			`${chalk.bold.magenta("AI")} ${chalk.yellow("Warning")} The legacy call system is enabled. Integration calls are not available in this mode.`,
+		);
 })();
 
 // Initialize the client
diff --git a/src/util/integrations/index.js b/src/util/integrations/index.js
new file mode 100644
index 0000000..a9eefb6
--- /dev/null
+++ b/src/util/integrations/index.js
@@ -0,0 +1,82 @@
+import { tool } from "ai";
+import { z } from "zod";
+
+export class Integration {
+	constructor({ name, description, parameters, stage }) {
+		this.tool = tool({
+			description,
+			parameters,
+		});
+
+		this.executionLevel = stage;
+	}
+
+	get stage() {
+		return this.executionLevel;
+	}
+
+	// pre-runner integrations run before the model call and can ONLY return a conversation-based output; () => Promise<Object>
+	// post-runner integrations run after the model call and can only return file-based outputs; () => Promise<Buffer>
+	async call() {
+		return {};
+	}
+}
+
+export class ImagineIntegration extends Integration {
+	constructor({ workersAI }) {
+		super({
+			name: "imagine",
+			description: "Generate an image with the given prompt",
+			parameters: z.object({
+				prompt: z.string().describe("The prompt to use for generating the image"),
+			}),
+			stage: "post",
+		});
+
+		this.workersAI = workersAI;
+	}
+
+	async call({ prompt }, ctx) {
+		const callToModel = await this.workersAI
+			.callModel(
+				{
+					model: "@cf/lykon/dreamshaper-8-lcm",
+					input: {
+						prompt,
+					},
+				},
+				true,
+			)
+			.then((r) => r.arrayBuffer())
+			.catch(() => (e) => {
+				console.error(e);
+				return null;
+			});
+
+		if (callToModel === null) return null;
+
+		const buffer = Buffer.from(callToModel);
+
+		return buffer;
+	}
+}
+
+export class QoTDIntegration extends Integration {
+	constructor() {
+		super({
+			name: "qotd",
+			description: "Get the quote of the day",
+			parameters: z.object({
+				luckyWord: z.string().describe("The lucky word to randomise the quote with"),
+			}),
+			stage: "pre",
+		});
+	}
+
+	async call({ prompt }, ctx) {
+		return {
+			role: "system",
+			content: "[Function call to QOTD]: The quote of the day is skeebeedee guyatt toilet.",
+		};
+	}
+}
diff --git a/src/util/models/constants.js b/src/util/models/constants.js
index 312d766..d0bc7ee 100644
--- a/src/util/models/constants.js
+++ b/src/util/models/constants.js
@@ -1,3 +1,6 @@
+import { tool } from "ai";
+import { z } from "zod";
+
 export const instructionSets = {
 	default: {
 		name: "Default",
diff --git a/src/util/models/index.js b/src/util/models/index.js
index f1dd258..b3242d4 100644
--- a/src/util/models/index.js
+++ b/src/util/models/index.js
@@ -1,5 +1,10 @@
 import { fetch } from "undici";
-import { InteractionResponse, InteractionHistory, InteractionMessageEvent } from "./interactions.js";
+import {
+	InteractionResponse,
+	InteractionHistory,
+	InteractionMessageEvent,
+	InteractionIntegrations,
+} from "./interactions.js";
 
 export class WorkersAI {
 	constructor(
@@ -55,14 +60,17 @@ export class ModelInteractions {
 		this.disabledModules = disabledModules;
 		this.history = disabledModules?.includes("history") ? null : new InteractionHistory(opts);
 		this.response = disabledModules?.includes("response") ? null : new InteractionResponse(opts);
+		this.integrations = disabledModules?.includes("integrations") ? null : new InteractionIntegrations(opts);
 		this.messageEvent = disabledModules?.includes("messageEvent")
 			? null
 			: new InteractionMessageEvent({
 					...opts,
 					interactionResponse: this.response,
 					interactionHistory: this.history,
+					interactionIntegrations: this.integrations,
 				});
 
 		this.model = opts?.model;
+		this.callsystem = opts?.callsystem;
 	}
 }
diff --git a/src/util/models/interactions.js b/src/util/models/interactions.js
index e736c08..8e4fb3e 100644
--- a/src/util/models/interactions.js
+++ b/src/util/models/interactions.js
@@ -1,6 +1,10 @@
 import { fetch } from "undici";
 import { events, instructionSets } from "./constants.js";
 import { WorkersAI } from "./index.js";
+import { createOpenAI } from "@ai-sdk/openai";
+import { generateText } from "ai";
+
+import { ImagineIntegration, QoTDIntegration } from "../integrations/index.js";
 
 export class InteractionHistory {
 	constructor(
@@ -14,31 +18,39 @@ export class InteractionHistory {
 	) {
 		this.kv = kv;
 		this.contextWindow = contextWindow || 10;
-		this.instructionSet = instructionSets[instructionSet || "default"];
+		this.instructionSet = {
+			id: instructionSet,
+			...instructionSets[instructionSet || "default"],
+		};
 		this.baseHistory = [
+			...(this.instructionSet?.instructions || [
+					{
+						role: "system",
+						content: this?.instructionSet,
+					},
+				] ||
+				[]),
 			...baseHistory,
-			{
-				role: "system",
-				content: this.instructionSet,
-			},
 		];
 		this.model = model;
 	}
 
-	async get({ key }, all = false) {
+	async get({ key, instructionSet = this.instructionSet?.id, window = this.contextWindow }, all = false) {
+		const baseHistory = instructionSets[instructionSet]?.instructions || this.baseHistory;
 		const fetchedMessages = (await this.kv.lRange(key, 0, -1))
+			.sort((a, b) => new Date(b.timestamp) - new Date(a.timestamp))
 			.reverse()
 			.map((m) => JSON.parse(m))
 			// only return the last [contextWindow] messages
 			// if all is true, return all messages
-			.slice(0, all ? -1 : this.contextWindow)
+			.slice(0, all ? -1 : window || this.contextWindow)
 			.reduce((acc, item, index) => {
 				// this reducer is very.. redundant, but i'm adding it for later
 				acc.push(item);
 				return acc;
 			}, []);
 
-		return [...this.baseHistory, ...fetchedMessages];
+		return [...baseHistory, ...fetchedMessages];
 	}
 
 	async add(
@@ -75,7 +87,9 @@ export class InteractionHistory {
 				.lRange(key, 0, -1)
 				.then((r) => r.map((m) => JSON.parse(m)))
 				.catch(() => [])
-		).reverse();
+		)
+			.sort((a, b) => new Date(b.timestamp) - new Date(a.timestamp))
+			.reverse();
 		const interactions = current?.filter(typeof filter === "function" ? filter : (f) => f);
 
 		const formatted = interactions
@@ -188,7 +202,7 @@ export class InteractionResponse {
 	}
 
 	formatAssistantMessage(content) {
-		return content.trim();
+		return content?.trim();
 	}
 
 	/**
@@ -207,12 +221,12 @@ export class InteractionResponse {
 	 * @param {string} event.status The status of the event
 	 * @returns {string} The formatted message
 	 * @example
-	 * const message = await this.formatOutputMessage(content, event);
+	 * const message = await this.formatLegacyOutput(content, event);
 	 * console.log(message);
 	 * // Outputs the formatted message
 	 */
 
-	formatOutputMessage(content, allEvents = []) {
+	formatLegacyOutput(content, allEvents = []) {
 		const bannerArr = allEvents
 			.map((event) => {
 				const eventData = events[event?.type];
@@ -227,18 +241,103 @@ export class InteractionResponse {
 		return banner + "\n" + content.trim();
 	}
 
+	format(input) {
+		if (!input)
+			return {
+				content: "",
+				files: [],
+			};
+
+		const content = input?.length >= 2000 ? "" : input;
+		const files = input?.length >= 2000 ? [{ attachment: Buffer.from(text, "utf-8"), name: "response.md" }] : [];
+
+		return {
+			content,
+			files,
+		};
+	}
+
 	currentTemporalISO() {
 		return Temporal.Now.plainDateTimeISO(this?.tz || "Etc/UTC").toString();
 	}
 }
 
+export class InteractionIntegrations {
+	constructor(
+		{ message, kv, model, accountId, token, openaiToken, callsystem } = {
+			kv: null,
+			instructionSet: process.env.MODEL_LLM_PRESET || "default",
+			baseHistory: [],
+			model: "@cf/meta/llama-3-8b-instruct",
+			contextWindow: 10,
+			callsystem: process.env.MODEL_LLM_CALLSYSTEM || "legacy",
+		},
+	) {
+		this.message = message;
+		this.kv = kv;
+		this.workersAI = new WorkersAI({ accountId, token, model });
+		this.openai = createOpenAI({
+			apiKey: openaiToken,
+		});
+		this.model = model;
+		this.callsystem = callsystem;
+
+		this.integrations = {
+			imagine: new ImagineIntegration({ workersAI: this.workersAI }),
+			quoteoftheday: new QoTDIntegration(),
+		};
+	}
+
+	get integrationSchemas() {
+		return Object.keys(this.integrations).reduce((acc, cv) => {
+			return {
+				...acc,
+				[cv]: this.integrations[cv].tool,
+			};
+		}, {});
+	}
+
+	async integrationCaller({ history }) {
+		if (this.callsystem === "legacy") return [];
+		const model = this.openai.chat("gpt-3.5-turbo", {
+			user: this.message?.author?.id,
+		});
+
+		const call = await generateText({
+			model,
+			system:
+				"You are a bot that can call functions. If no functions are required, respond with []. The previous user messages are only for context, you have already answered them.",
+			messages: history,
+			tools: this.integrationSchemas,
+		})
+			.then((r) => r.toolCalls)
+			.catch(() => []);
+
+		return call;
+	}
+
+	async execute({ calls, ctx }) {
+		if (calls.length === 0 || this.callsystem === "legacy") return [];
+		// for each integration, call the integration
+		return Promise.all(
+			calls.map(async (call) => {
+				const integration = this.integrations[call.toolName];
+				if (typeof integration?.call !== "function") return;
+				return await integration.call(call.args, ctx);
+			}),
+		);
+	}
+}
+
 export class InteractionMessageEvent {
-	constructor({ message, interactionResponse, interactionHistory, model }) {
+	constructor({ message, interactionResponse, interactionHistory, interactionIntegrations, callsystem, model }) {
 		this.message = message;
 		this.client = message?.client;
 		this.author = message?.author;
 		this.response = interactionResponse;
 		this.history = interactionHistory;
+		this.integrations = interactionIntegrations;
+		this.callsystem = callsystem;
 		this.model = model;
 	}
 
@@ -261,7 +360,7 @@ export class InteractionMessageEvent {
 	}
 
 	async validateHistory() {
-		const initialHistory = (await this.history.get({ key: this.message?.channel?.id })).filter(
+		const initialHistory = (await this.history.get({ key: this.message?.channel?.id }, true)).filter(
 			(e) => e.role === "assistant",
 		);
 
@@ -321,47 +420,8 @@ export class InteractionMessageEvent {
 		};
 	}
 
-	async handleTextModelCall({ history }) {
-		await this.message?.channel?.sendTyping();
-		const modelCall = await this.response.workersAI
-			.callModel({
-				input: {
-					messages: history.map((e) => ({
-						role: e.role,
-						content: e.content,
-					})),
-				},
-				maxTokens: 512,
-			})
-			.catch(() => ({
-				result: { response: "" },
-			}));
-
-		const callResponse = modelCall?.result?.response?.trim();
-		const textResponse = callResponse?.split("!gen")?.[0];
-		const genData = callResponse?.split("!gen")?.[1]?.replace("[", "").replace("]", "");
-
-		await this.history
-			.add(
-				{
-					key: this.message?.channel?.id,
-					role: "assistant",
-					content: this.response.formatAssistantMessage(textResponse?.length === 0 ? "[no response]" : textResponse),
-					respondingTo: this.message?.id,
-				},
-				true,
-			)
-			.catch(console.error);
-
-		return {
-			textResponse,
-			genData,
-			callResponse,
-		};
-	}
-
-	async handleImageModelCall({ genData, textResponse, responseMsg, events }) {
-		const final = this.response.formatOutputMessage(
+	async handleLegacyImageModelCall({ genData, textResponse, responseMsg, events }) {
+		const final = this.response.formatLegacyOutput(
 			textResponse,
 			events.filter((e) => e.type !== "imagine"),
 		);
@@ -408,7 +468,7 @@ export class InteractionMessageEvent {
 			.catch(() => null);
 	}
 
-	async createResponse(
+	async createLegacyResponse(
 		{ textResponse, conditions } = {
 			conditions: {
 				amnesia: false,
@@ -426,7 +486,7 @@ export class InteractionMessageEvent {
 				};
 			});
 
-		const text = this.response.formatOutputMessage(textResponse, events);
+		const text = this.response.formatLegacyOutput(textResponse, events);
 		const content = textResponse.length >= 2000 ? "" : text;
 		const files = textResponse.length >= 2000 ? [{ attachment: Buffer.from(text, "utf-8"), name: "response.md" }] : [];
 
@@ -443,4 +503,83 @@ export class InteractionMessageEvent {
 			events,
 		};
 	}
+
+	async preSend({ history }) {
+		const callContext = await this.history.get({ key: this.message?.channel?.id }, true).catch(() => []);
+		const calls = await this.integrations
+			.integrationCaller({
+				history: callContext
+					.map((e) => ({
+						role: e.role,
+						content: e.content,
+					}))
+					.filter((e) => e.role === "user")
+					.slice(-2),
+			})
+			.then((r) =>
+				r.map((c) => ({
+					...c,
+					stage: this.integrations.integrations?.[c.toolName]?.stage,
+					execute: async () => {
+						return await this.integrations.integrationSchemas?.[c.toolName]?.call(c.args);
+					},
+				})),
+			);
+		const preRunners = calls.filter((c) => c.stage === "pre");
+		const postRunners = calls.filter((c) => c.stage === "post");
+		const preRunnerResults = await this.integrations.execute({ calls: preRunners }).catch(() => []);
+		const allMessages = [...history.slice(0, -1), ...preRunnerResults, ...history.slice(-1)];
+
+		await this.message?.channel?.sendTyping();
+		const modelCall = await this.response.workersAI
+			.callModel({
+				input: {
+					messages: allMessages.map((e) => ({
+						role: e.role,
+						content: e.content,
+					})),
+				},
+				maxTokens: 512,
+			})
+			.catch(() => ({
+				result: { response: "" },
+			}));
+
+		const response = modelCall?.result?.response?.trim();
+
+		await this.history
+			.add(
+				{
+					key: this.message?.channel?.id,
+					role: "assistant",
+					content: this.response.formatAssistantMessage(response?.length === 0 ? "[no response]" : response),
+					respondingTo: this.message?.id,
+					context: {
+						integrations: calls.map((c) => ({ id: c.toolName, stage: c.stage, args: c.args })),
+					},
+				},
+				true,
+			)
+			.catch(console.error);
+
+		return {
+			legacy: {
+				active: this.callsystem === "legacy",
+				textResponse: response,
+				genData: response?.split("!gen")?.[0],
+				callResponse: response?.split("!gen")?.[1]?.replace("[", "").replace("]", ""),
+			},
+			runners: postRunners,
+			response,
+		};
+	}
+
+	async postSend({ runners, message }) {
+		await this?.message?.react;
+		const runnerResults = await this.integrations.execute({ calls: runners, ctx: { message } }).catch(() => []);
+
+		return {
+			results: runnerResults.filter((r) => r !== null),
+		};
+	}
 }