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Alem Tuzlak
59773505eb
## What Brings `@copilotkit/bot-slack` up to the **current** Slack native streaming API surface (`chat.startStream` / `appendStream` / `stopStream`, GA Oct 2025; structured chunks + AI feedback elements) and removes the type-erasure workarounds. Result of an audit cross-referencing the live `@slack/web-api@7.16.0` / `@slack/types@2.21.1` types and Vercel's `vercel/chat` Slack adapter. ## Changes - **No more `as unknown as Parameters<…>` casts** — every streaming/post/update call uses the SDK's typed args. - **One streamed message per turn** — dropped the per-message continuation splitting (Slack documents only a 12k-per-append limit, no cumulative cap; matches `vercel/chat`), keeping ≤12k per-append chunking. - **Native `task_update` tool-progress chunks** (`task_display_mode: "timeline"`) interleaved into the streamed reply, replacing the separate `🔧` status messages — with automatic degradation back to `🔧` rows where structured chunks aren't supported. - **Opt-in AI feedback buttons** via `slack({ feedback })` — a typed `context_actions` + `feedback_buttons` row attached at `stopStream`; clicks are routed adapter-locally (bypassing the engine's interaction dispatch). No handler ⇒ no buttons. - **Recipient scoping** — `recipient_user_id` / `recipient_team_id` only for channel targets. - **Cadence** — native flush floor lowered to ~600ms (appendStream Tier-4); legacy `chat.update` stays 800ms. ### Engine (`@copilotkit/bot`) One small, backward-compatible addition: optional `RunRenderer.finish?()`, called after `runAgentLoop` resolves, so a turn-scoped renderer can finalize its single stream. No-op for existing adapters. ## Verification - `bot-slack`: type-check (both tsconfigs) clean, **208 tests pass**, oxfmt + oxlint clean. - `bot`: type-check clean, **33 tests pass** (incl. a new `finish()` test). - Reviewed for correctness (stream lifecycle, finish/interrupt interaction, delta tracking, degradation) — no high-confidence bugs; feedback-on-interrupt and missing-ref-logging were tightened. ### Not verifiable without a live workspace (flagged in-code) - That a >12k reply truly streams into one message (the no-cumulative-cap assumption). - `startStream` with no initial content.
CopilotKit Examples
This directory contains 48 consolidated demo repositories showcasing CopilotKit integrations, canvas apps, and showcases.
Each example is a self-contained project. To get started:
GIT_LFS_SKIP_SMUDGE=1 git clone <repo-url>
cd examples/<category>/<name>
# Follow the example's own README for setup instructions
Note: The
v1/andv2/directories at the top level are legacy workspace examples from earlier CopilotKit releases and are not part of the consolidated demo set.
Integrations (17)
Framework integration starters demonstrating CopilotKit with various agent frameworks.
| Example | Description |
|---|---|
| langgraph-python | Starter template for building AI agents using LangGraph (Python) and CopilotKit |
| langgraph-js | Starter template for building AI agents using LangGraph (JS) with Turborepo monorepo |
| langgraph-fastapi | Starter template for building AI agents using LangGraph with FastAPI and Poetry |
| mastra | Starter template for building AI agents using Mastra and CopilotKit |
| crewai-flows | Starter template for building AI agents using CrewAI Flows (uv-based) |
| llamaindex | Starter template with a LlamaIndex investment analyst agent |
| pydantic-ai | Starter template with a PydanticAI investment analyst agent |
| ms-agent-framework-python | CopilotKit with Microsoft Agent Framework (Python/FastAPI, AG-UI protocol) |
| ms-agent-framework-dotnet | CopilotKit with Microsoft Agent Framework (.NET/C#, AG-UI protocol) |
| strands-python | Starter template with a Strands investment analyst agent |
| mcp-apps | Integration of MCP Apps with CopilotKit using Three.js |
| adk | Starter template using Google ADK with an investment analyst agent |
| agent-spec | Starter for Agent Spec with A2UI-powered frontend tool rendering |
| a2a-a2ui | Starter for A2UI + A2A with a restaurant finder agent (Gemini/ADK) |
| agno | Starter template using Agno with an investment analyst agent |
| crewai-crews | Starter template for building AI agents using CrewAI Crews |
| a2a-middleware | Multi-agent starter with A2A Protocol and AG-UI Protocol (LangGraph + ADK) |
Canvas (7)
AI-powered canvas applications with visual card interfaces, real-time state sync, and HITL workflows.
| Example | Description |
|---|---|
| langgraph-python | AG-UI canvas starter with LangGraph — interactive cards with real-time AI sync |
| llamaindex | AG-UI canvas starter with LlamaIndex — visual cards, multi-step planning, HITL |
| llamaindex-composio | Hackathon starter with LlamaIndex, CopilotKit, and Composio (Google Sheets integration) |
| pydantic-ai | AG-UI canvas starter with PydanticAI — visual cards, planning, HITL |
| mastra | AG-UI canvas starter with Mastra — interactive cards with real-time AI sync |
| gemini | Open Gemini Canvas — post generator and stack analyzer agents (Gemini + LangGraph) |
| mastra-pm | AG-UI + Mastra workshop — shared state, multiple clients, generative UI |
Showcases (24)
Full-featured demo applications highlighting CopilotKit capabilities in real-world scenarios.
| Example | Description |
|---|---|
| banking | Banking app demo with authorization, multiple operations, and generative UI |
| presentation | PowerPoint-like web app built with CopilotKit |
| deep-agents | Deep research assistant with planning, memory/files, and generative UI (Tavily) |
| deep-agents-job-search | Job application assistant — resume parsing, skill extraction, DeepAgents orchestration |
| generative-ui | Generative UI for agentic apps — AG-UI protocol showcase |
| generative-ui-playground | Playground for static GenUI, MCP Apps, and A2UI generative UI types |
| mcp-apps | MCP Apps demo — airline booking, hotel booking, investment simulator, kanban board |
| research-canvas | ANA (Agent Native Application) — research canvas with Tavily search and LangGraph |
| mcp-demo | Working Memory — MCP server-client integration for project management (Linear) |
| strands-file-analyzer | AI-powered document analysis with Strands Agents and Amazon Bedrock |
| microsoft-kanban | Kanban board demo with CopilotKit + Microsoft Agent Framework (.NET, AG-UI) |
| multi-page | Multi-page Remix app with CopilotKit |
| orca | Cisco CopilotKit demo — PR and repository analytics dashboard |
| pydantic-ai-todos | AI-powered todo board with PydanticAI (Todo, In-Progress, Done columns) |
| scene-creator | Scene creator with LangGraph + Gemini 3 — AI-generated characters and backgrounds |
| adk-dashboard | Generative canvas with Google ADK — metrics, charts, and real-time data |
| langgraph-js-support-agents | Multi-agent telecom support system with intent, lookup, reply, and escalation agents |
| multi-agent-canvas | Open Multi-Agent Canvas — manage multiple agents (travel, research, MCP) in one chat |
| chatkit-studio | Open ChatKit Studio — explore and build embeddable chat experiences |
| enterprise-brex | Enterprise banking demo with authorization, operations, and generative UI |
| a2a-travel | A2A + AG-UI multi-agent travel demo (LangGraph + Google ADK) |
| spreadsheet | AI-powered Excel-like spreadsheet web app |
| todo | Simple todo app built with CopilotKit |
| strands-crm | Enterprise sales CRM — dashboard, pipeline, products, quotes, reports & agentic canvas (TypeScript Strands + AG-UI) |