Chat

Chat Component - Reference Guide

> Read this before creating chat widgets.

Overview

The chat component provides a full-featured conversational UI with:

• Message rendering with inline markdown
• Streaming responses with token-by-token display
• Stop-generation (cancel in-flight LLM responses)
• Thread management (create, switch, delete)
• Slash command palette (type / to see commands)
• Settings panel (model, temperature, system prompt)
• LLM provider adapters (OpenAI, Anthropic, custom callback)

Quick Start

Via MCP Tool

{
  "name": "create_chat_widget",
  "arguments": {
    "title": "AI Assistant",
    "model": "gpt-4",
    "system_prompt": "You are a helpful assistant.",
    "streaming": true,
    "provider": "openai"
  }
}

Via Python

from pywry import App
from pywry.chat import ChatConfig, ChatWidgetConfig

app = App()
config = ChatWidgetConfig(
    title="AI Chat",
    height=600,
    chat=ChatConfig(
        system_prompt="You are helpful.",
        model="gpt-4",
        streaming=True,
        provider="openai",
    ),
)
# Widget creation handled by MCP or directly via app.show()

---

MCP Tools

createchatwidget

Creates a chat widget. Returns {widget_id, thread_id}.

| Parameter | Type | Default | Description | |----------------|---------|----------|--------------------------------| | title | string | "Chat" | Window title | | height | integer | 600 | Window height | | systemprompt | string | "" | System prompt for LLM | | model | string | "gpt-4" | Model name | | temperature | number | 0.7 | Sampling temperature (0-2) | | maxtokens | integer | 4096 | Max tokens per response | | streaming | boolean | true | Enable streaming | | persist | boolean | false | Persist threads in ChatStore | | provider | string | — | "openai", "anthropic", "callback" | | showsidebar | boolean | true | Show thread sidebar | | slashcommands | array | — | Custom slash commands |

chatsendmessage

Send a user message. Returns {message_id, thread_id, sent}.

chatstopgeneration

Stop an in-flight generation. Idempotent. Returns partial content.

chatmanagethread

Thread CRUD: create, switch, delete, rename, list.

chatregistercommand

Register a slash command at runtime.

chatgethistory

Paginated conversation history with cursor (before_id).

chatupdatesettings

Update model, temperature, system prompt, etc.

chatsettyping

Show/hide the typing indicator.

---

Event Contract

Incoming Events (Python → Frontend)

| Event | Payload | |---------------------------|--------------------------------------------| | chat:assistant-message | {messageId, text, threadId} | | chat:stream-chunk | {chunk, messageId, threadId, done} | | chat:typing-indicator | {typing, threadId} | | chat:switch-thread | {threadId} | | chat:update-thread-list | {threads: [{thread_id, title}]} | | chat:clear | {} | | chat:register-command | {name, description} | | chat:update-settings | {model, temperature, system_prompt} | | chat:state-response | {messages, threads, settings, activeThreadId} | | chat:generation-stopped | {messageId, threadId, partialContent} |

Outgoing Events (Frontend → Python)

| Event | Payload | |--------------------------|---------------------------------------------| | chat:user-message | {text, threadId, timestamp} | | chat:slash-command | {command, args, threadId} | | chat:thread-create | {title} | | chat:thread-switch | {threadId} | | chat:thread-delete | {threadId} | | chat:settings-change | {key, value} | | chat:request-history | {threadId, limit} | | chat:stop-generation | {threadId, messageId} | | chat:request-state | {} |

---

Stop-Generation Mechanics

1. User clicks Stop button → frontend immediately re-enables UI
2. chat:stop-generation sent to backend
3. Backend sets cancel_event on GenerationHandle
4. LLM provider checks cancel_event.is_set() between chunks
5. Provider raises GenerationCancelledError → partial content saved
6. Backend emits chat:generation-stopped with partial content
7. Frontend marks message as "(stopped)"

The UI never waits for backend confirmation — recovery is instant.

---

Default Slash Commands

| Command | Description | |-----------|----------------------------| | /clear | Clear conversation | | /export | Export chat history | | /model | Switch model | | /system | Change system prompt |

Register custom commands via chat_register_command tool or ChatConfig.slash_commands list.

---

LLM Providers

OpenAI

{"provider": "openai"}

Requires openai package and OPENAI_API_KEY environment variable.

Anthropic

{"provider": "anthropic"}

Requires anthropic package and ANTHROPIC_API_KEY environment variable.

Custom Callback

from pywry.chat.providers.callback import CallbackProvider

provider = CallbackProvider(
    prompt_fn=my_prompt,   # (session_id, content_blocks, cancel_event) → AsyncIterator[SessionUpdate]
)

---

Safety Constants

| Constant | Value | Purpose | |--------------------------|----------|----------------------------------| | MAXRENDEREDMESSAGES | 200 | DOM cap for performance | | MAXCONTENTLENGTH | 100,000 | Per-message content limit | | MAXMESSAGESPERTHREAD | 1,000 | Eviction threshold | | STREAMTIMEOUTSECONDS | 30 | Max silence before timeout | | SENDCOOLDOWNMS | 1,000 | Input rate limit | | GENERATIONHANDLE_TTL | 300 | Auto-expire stale handles |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: deeleeramone
• Source: deeleeramone/PyWry
• License: Apache-2.0
• Homepage: https://deeleeramone.github.io/PyWry/

Install and usage instructions live in the source repository linked above.