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rafavallsclaudetlgimenes
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feat(agent-connections): improve agent detail UX, prompt template, and interactive prompt improvement (#2792)
* feat(agent-connections): show resource counts in connection footer Display resource counts (N tools, N prompts, N resources) or "All" in the connection footer instead of just a number. This shows which resources each connection has on the same line as the config icon. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com> * feat(agent-connections): adjust footer layout and instance selector size Move resource counts to the left side of the footer and make the instance selector smaller with a more compact design, matching the Registry selection style. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com> * feat(agent-connections): add instructions template and improve dialog UX Added "[+ Prompt template]" button to auto-populate instruction guidance when the field is empty. Extracted agent capabilities and connection dialogs into separate components for better maintainability. Fixed instance selector height to use proper sizing. Added decopilot endpoint for AI-powered prompt improvement. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com> * fix(agent-connections): remove unused exports to fix knip CI check Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(agent-connections): replace improve-prompt endpoint with decopilot chat Send /writing-prompts message via createThreadAndSend instead of calling a dedicated backend endpoint, making prompt improvement interactive. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(automations): add improve prompt button to automation instructions Same pattern as agent detail — sends /writing-prompts via decopilot chat with the current instructions extracted from the tiptap editor. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(automations): use ghost variant for improve prompt button Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(automations): revert improve button to outline variant Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(automations): update improve prompt message format Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(automations): set plan mode on improve prompt and extract normalizeMessages Pass toolApprovalLevel: "plan" in createThreadAndSend for the improve prompt button on both automation and agent detail pages. Extract shared message normalization logic into normalize-messages.ts. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Haiku 4.5 <noreply@anthropic.com> Co-authored-by: gimenes <tlgimenes@gmail.com>
1 parent b486b0a commit 862f3a7

9 files changed

Lines changed: 1926 additions & 858 deletions

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‎apps/mesh/src/tools/automations/create.ts‎

Lines changed: 2 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -11,6 +11,7 @@ import {
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requireAuth,
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requireOrganization,
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} from "../../core/mesh-context";
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import { normalizeMessages } from "./normalize-messages";
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export const AUTOMATION_CREATE = defineTool({
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name: "AUTOMATION_CREATE",
@@ -94,16 +95,7 @@ export const AUTOMATION_CREATE = defineTool({
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throw new Error("Unable to determine user identity");
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}
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// Normalize string messages to array format
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const normalizedMessages =
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typeof input.messages === "string"
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? [
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{
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role: "user" as const,
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parts: [{ type: "text", text: input.messages }],
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},
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]
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: input.messages;
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const normalizedMessages = normalizeMessages(input.messages);
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// Auto-resolve models from credentials when not provided
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let models = input.models;

‎apps/mesh/src/tools/automations/normalize-messages.ts‎

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@@ -0,0 +1,102 @@
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/**
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* Shared message normalization for automation create/update tools.
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*
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* Handles two concerns:
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* 1. LLMs sometimes pass the messages array as a JSON-stringified string —
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* detect and parse it to avoid double-serialization.
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* 2. Messages may lack `metadata.tiptapDoc` — generate it from the first
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* text part so the UI editor can render the content.
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*/
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type MessagePart = Record<string, unknown>;
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type Message = {
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id?: string;
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role: "user" | "assistant" | "system";
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parts: MessagePart[];
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metadata?: unknown;
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[key: string]: unknown;
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};
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function buildTiptapDoc(text: string) {
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return {
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type: "doc",
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content: [
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{
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type: "paragraph",
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content: [
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{
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type: "text",
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text,
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},
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],
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},
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],
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};
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}
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function ensureTiptapDoc(messages: Message[]): Message[] {
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return messages.map((msg) => {
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const meta = msg.metadata as Record<string, unknown> | undefined;
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if (meta?.tiptapDoc) {
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return msg;
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}
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const firstTextPart = msg.parts.find(
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(p) => p.type === "text" && typeof p.text === "string",
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);
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if (!firstTextPart?.text || typeof firstTextPart.text !== "string") {
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return msg;
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}
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return {
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...msg,
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metadata: {
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...meta,
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tiptapDoc: buildTiptapDoc(firstTextPart.text),
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},
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};
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});
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}
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/**
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* Normalize messages input from LLM tool calls:
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* - If string is a JSON-serialized message array, parse it
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* - If string is plain text, wrap in a user message
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* - Ensure all messages have `metadata.tiptapDoc`
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*/
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export function normalizeMessages(messages: string | Message[]): Message[] {
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let normalized: Message[];
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if (typeof messages === "string") {
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try {
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const parsed = JSON.parse(messages);
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if (
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Array.isArray(parsed) &&
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parsed.length > 0 &&
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parsed[0]?.role &&
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Array.isArray(parsed[0]?.parts)
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) {
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normalized = parsed;
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} else {
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normalized = [
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{
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role: "user" as const,
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parts: [{ type: "text", text: messages }],
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},
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];
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}
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} catch {
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normalized = [
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{
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role: "user" as const,
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parts: [{ type: "text", text: messages }],
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},
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];
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}
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} else {
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normalized = messages;
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}
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return ensureTiptapDoc(normalized);
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}

‎apps/mesh/src/tools/automations/update.ts‎

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Original file line numberDiff line numberDiff line change
@@ -9,6 +9,7 @@ import { z } from "zod";
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import { defineTool } from "../../core/define-tool";
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import { requireAuth, requireOrganization } from "../../core/mesh-context";
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import { configureTriggerOnMcp } from "./configure-trigger";
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import { normalizeMessages } from "./normalize-messages";
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export const AUTOMATION_UPDATE = defineTool({
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name: "AUTOMATION_UPDATE",
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if (input.agent !== undefined)
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updateData.agent = JSON.stringify(input.agent);
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if (input.messages !== undefined) {
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const normalizedMessages =
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typeof input.messages === "string"
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? [
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{
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role: "user" as const,
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parts: [{ type: "text", text: input.messages }],
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},
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]
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: input.messages;
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const normalizedMessages = normalizeMessages(input.messages);
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updateData.messages = JSON.stringify(normalizedMessages);
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}
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if (input.models !== undefined)

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