- Revised the JSAPI_OUTPUT.md to provide a comprehensive overview of Agent Hook functions and their usage. - Added detailed examples for each hook function, demonstrating real-time messaging and error handling. - Improved the structure and clarity of the documentation, ensuring users can easily understand how to implement and utilize the Context object methods. - Removed deprecated sections and streamlined the content for better readability.
16 KiB
Context Output JS API
The Context object provides Send, SendGroup, and Flush methods for sending messages to clients from JavaScript within Agent Hook functions.
Hook Functions Overview
Agent Hook functions are lifecycle callbacks that allow you to customize the behavior of AI assistants. The Context object passed to these hooks includes output methods for real-time communication with clients.
Available Hooks
Create(ctx, messages)- Called before the assistant processes messagesBefore(ctx, messages, response)- Called before sending LLM responseAfter(ctx, messages, response)- Called after receiving LLM responseDone(ctx, messages, response)- Called after assistant completesError(ctx, messages, error)- Called when an error occurs
Quick Start
Basic Usage in Create Hook
/**
* Create hook - send initial messages to client
*/
function Create(ctx, messages) {
// Send welcome message (string shorthand)
ctx.Send("Welcome! Let me help you with that...");
ctx.Flush();
// Send loading indicator
ctx.Send({
type: "loading",
props: { message: "Analyzing your request..." },
});
ctx.Flush();
// Continue with normal processing
return { messages };
}
Streaming Updates Example
/**
* Create hook - demonstrate streaming updates
*/
function Create(ctx, messages) {
// Send initial message
ctx.Send({
type: "text",
props: { content: "Processing" },
id: "status_msg",
});
ctx.Flush();
time.Sleep(500); // Simulate work
// Append to message (delta update)
ctx.Send({
type: "text",
props: { content: "..." },
id: "status_msg",
delta: true,
delta_path: "content",
delta_action: "append",
});
ctx.Flush();
time.Sleep(500); // More work
// Complete the message
ctx.Send({
type: "text",
props: { content: " Done!" },
id: "status_msg",
delta: true,
delta_path: "content",
delta_action: "append",
});
ctx.Flush();
return { messages };
}
API Reference
ctx.Send(message)
Send a single message to the client.
String Shorthand:
ctx.Send("Hello World");
Object Format:
// Text message
ctx.Send({
type: "text",
props: { content: "Hello from JavaScript" },
});
// Loading indicator
ctx.Send({
type: "loading",
props: { message: "Processing..." },
});
// Error message
ctx.Send({
type: "error",
props: { message: "Something went wrong", code: "ERR_500" },
});
Complete Message Object:
ctx.Send({
type: "text",
props: { content: "Hello" },
id: "msg_123", // Optional: message ID for delta updates
delta: true, // Optional: incremental update flag
done: false, // Optional: completion flag
delta_path: "content", // Optional: update path
delta_action: "append", // Optional: append, replace, merge, set
group_id: "grp_1", // Optional: message group ID
metadata: {
// Optional: custom metadata
timestamp: Date.now(),
sequence: 1,
trace_id: "trace_123",
},
});
ctx.SendGroup(group)
Send a group of related messages together.
ctx.SendGroup({
id: "group_123",
messages: [
{ type: "text", props: { content: "First message" } },
{ type: "text", props: { content: "Second message" } },
],
metadata: { timestamp: Date.now() },
});
ctx.Flush()
Flush the output buffer to ensure messages are sent immediately.
ctx.Send("Processing...");
ctx.Flush(); // Send immediately to client
Complete Hook Examples
1. Create Hook - Welcome Message
/**
* Send welcome message when conversation starts
*/
function Create(ctx, messages) {
// Send welcome message
ctx.Send("Welcome to AI Assistant! How can I help you today?");
ctx.Flush();
// Return messages to continue processing
return { messages };
}
2. Create Hook - Progress Updates
/**
* Show progress indicators during preprocessing
*/
function Create(ctx, messages) {
// Step 1: Analyzing
ctx.Send({
type: "loading",
props: { message: "Analyzing your request..." },
});
ctx.Flush();
// Perform analysis...
const userIntent = analyzeIntent(messages);
// Step 2: Searching
ctx.Send({
type: "loading",
props: { message: "Searching knowledge base..." },
});
ctx.Flush();
// Search knowledge base...
const context = searchKnowledgeBase(userIntent);
// Add context to messages
if (context) {
messages.unshift({
role: "system",
content: `Context: ${context}`,
});
}
return { messages };
}
3. Before Hook - Show Thinking Process
/**
* Display model's reasoning before sending response
*/
function Before(ctx, messages, response) {
// If response includes thinking/reasoning
if (response.thinking) {
ctx.Send({
type: "thinking",
props: { content: response.thinking },
});
ctx.Flush();
}
return { response };
}
4. After Hook - Process Tool Calls
/**
* Handle tool calls and send results
*/
function After(ctx, messages, response) {
// Process tool calls
if (response.tool_calls && response.tool_calls.length > 0) {
response.tool_calls.forEach((toolCall) => {
// Show tool being called
ctx.Send({
type: "tool_call",
props: {
id: toolCall.id,
name: toolCall.function.name,
arguments: toolCall.function.arguments,
},
});
ctx.Flush();
// Execute tool and send result
const result = executeTool(toolCall);
ctx.Send({
type: "text",
props: { content: `Tool result: ${result}` },
});
ctx.Flush();
});
}
return { response };
}
5. Done Hook - Completion Message
/**
* Send completion message and cleanup
*/
function Done(ctx, messages, response) {
// Send completion indicator
ctx.Send({
type: "text",
props: { content: "\n✅ Task completed successfully!" },
});
ctx.Flush();
// Log metrics
console.log("Conversation completed:", {
chat_id: ctx.chat_id,
message_count: messages.length,
tokens_used: response.usage?.total_tokens,
});
return {};
}
6. Error Hook - Handle Errors Gracefully
/**
* Send user-friendly error messages
*/
function Error(ctx, messages, error) {
console.error("Assistant error:", error);
// Send error message to user
ctx.Send({
type: "error",
props: {
message: "I encountered an issue while processing your request.",
code: error.code || "UNKNOWN_ERROR",
details:
process.env.YAO_ENV === "development" ? error.message : undefined,
},
});
ctx.Flush();
// Return error to be logged
return { error };
}
7. Multi-Step Process with Progress
/**
* Complex processing with multiple steps
*/
function Create(ctx, messages) {
const steps = [
{ name: "Validating input", duration: 500 },
{ name: "Loading context", duration: 1000 },
{ name: "Preparing response", duration: 800 },
];
// Create progress message
const progressId = "progress_" + Date.now();
steps.forEach((step, index) => {
// Update progress
ctx.Send({
type: "loading",
props: {
message: `${step.name}... (${index + 1}/${steps.length})`,
},
id: progressId,
delta: index > 0,
});
ctx.Flush();
// Simulate work
time.Sleep(step.duration);
});
// Clear progress indicator
ctx.Send({
type: "loading",
props: { message: "" },
id: progressId,
done: true,
});
ctx.Flush();
return { messages };
}
8. Real-time Streaming Updates
/**
* Send streaming updates as processing progresses
*/
function Create(ctx, messages) {
const messageId = "stream_" + Date.now();
// Start message
ctx.Send({
type: "text",
props: { content: "Processing" },
id: messageId,
});
ctx.Flush();
// Simulate incremental processing
const updates = [".", ".", ".", " analyzing", ".", ".", ".", " complete!"];
updates.forEach((update) => {
time.Sleep(200);
ctx.Send({
type: "text",
props: { content: update },
id: messageId,
delta: true,
delta_path: "content",
delta_action: "append",
});
ctx.Flush();
});
return { messages };
}
9. Message Groups for Related Content
/**
* Send groups of related messages together
*/
function Before(ctx, messages, response) {
// Send a group of context information
ctx.SendGroup({
id: "context_info",
messages: [
{
type: "text",
props: { content: "**Context Information:**" },
},
{
type: "text",
props: { content: `User: ${ctx.authorized?.user_id || "Anonymous"}` },
},
{
type: "text",
props: { content: `Session: ${ctx.chat_id}` },
},
{
type: "text",
props: { content: `Locale: ${ctx.locale}` },
},
],
metadata: {
timestamp: Date.now(),
type: "context",
},
});
ctx.Flush();
return { response };
}
Message Types
Built-in message types supported:
user_input- User input (display only)text- Text content (supports Markdown)thinking- Reasoning/thinking processloading- Loading indicatortool_call- Tool/function callerror- Error messageimage- Image contentaudio- Audio contentvideo- Video contentaction- System action (silent in OpenAI clients)event- Lifecycle event (CUI only)
Message Props by Type
Text Message
{
type: "text",
props: {
content: "Text content (supports Markdown)"
}
}
Thinking Message
{
type: "thinking",
props: {
content: "Reasoning process..."
}
}
Loading Message
{
type: "loading",
props: {
message: "Loading message..."
}
}
Tool Call Message
{
type: "tool_call",
props: {
id: "call_123",
name: "function_name",
arguments: '{"key": "value"}'
}
}
Error Message
{
type: "error",
props: {
message: "Error message",
code: "ERROR_CODE",
details: "Additional details"
}
}
Image Message
{
type: "image",
props: {
url: "https://example.com/image.jpg",
alt: "Image description",
width: 800,
height: 600
}
}
Audio Message
{
type: "audio",
props: {
url: "https://example.com/audio.mp3",
format: "mp3",
duration: 120.5,
transcript: "Audio transcript...",
autoplay: false,
controls: true
}
}
Video Message
{
type: "video",
props: {
url: "https://example.com/video.mp4",
format: "mp4",
thumbnail: "https://example.com/thumb.jpg",
width: 1920,
height: 1080,
autoplay: false,
controls: true
}
}
Delta Updates
Use delta updates for streaming scenarios:
// Initial message
ctx.Send({
type: "text",
props: { content: "Hello" },
id: "msg_1",
delta: false,
});
// Append to content
ctx.Send({
type: "text",
props: { content: " World" },
id: "msg_1",
delta: true,
delta_path: "content",
delta_action: "append",
});
// Mark as complete
ctx.Send({
type: "text",
props: {},
id: "msg_1",
done: true,
});
Delta Actions:
append- Append to string or arrayreplace- Replace valuemerge- Merge objectsset- Set new field
Hook Function Patterns
Pattern 1: Fire-and-Forget Notifications
function Create(ctx, messages) {
ctx.Send("Starting processing...");
ctx.Flush();
// No need to wait, continue processing
return { messages };
}
Pattern 2: Progress Tracking
function Create(ctx, messages) {
const stages = ["validate", "analyze", "prepare"];
stages.forEach((stage) => {
ctx.Send({ type: "loading", props: { message: `${stage}...` } });
ctx.Flush();
performStage(stage);
});
return { messages };
}
Pattern 3: Conditional Messaging
function Before(ctx, messages, response) {
// Only show reasoning for complex queries
if (messages[messages.length - 1].content.length > 100) {
ctx.Send({
type: "thinking",
props: { content: "Analyzing complex query..." },
});
ctx.Flush();
}
return { response };
}
Pattern 4: Error Recovery
function Error(ctx, messages, error) {
if (error.code === "RATE_LIMIT") {
ctx.Send("Service is busy, retrying...");
ctx.Flush();
time.Sleep(1000);
return { retry: true };
}
ctx.Send({
type: "error",
props: { message: "Sorry, something went wrong.", code: error.code },
});
ctx.Flush();
return { error };
}
Important Notes
1. Hook Function Signatures
Each hook receives different parameters:
Create(ctx, messages)- Context and input messagesBefore(ctx, messages, response)- Context, messages, and LLM responseAfter(ctx, messages, response)- Context, messages, and LLM responseDone(ctx, messages, response)- Context, messages, and final responseError(ctx, messages, error)- Context, messages, and error object
2. Always Flush for Real-time Updates
// Good - user sees message immediately
ctx.Send("Processing...");
ctx.Flush();
// Bad - message buffered until hook returns
ctx.Send("Processing...");
// ... hook continues ...
3. Delta Updates Require Unique IDs
// Initial message
ctx.Send({ type: "text", props: { content: "Step 1" }, id: "progress" });
// Update same message
ctx.Send({
type: "text",
props: { content: ", Step 2" },
id: "progress",
delta: true,
delta_path: "content",
delta_action: "append",
});
4. Message Types and Client Support
- OpenAI Client (
ctx.accept === "standard"): Supportstext,thinking,tool_call,image,audio,video - CUI Client (
ctx.accept === "cui-web"etc.): Supports all types includingloading,error,action,event
5. Performance Considerations
- Use
Flush()sparingly - only when immediate delivery is needed - Batch related messages with
SendGroup()when possible - Avoid sending too many small updates (combine them)
6. Context Information Available
The ctx object provides access to:
ctx.chat_id; // Chat session ID
ctx.assistant_id; // Assistant ID
ctx.locale; // User locale (e.g., "en", "zh-cn")
ctx.authorized; // User authorization info
ctx.metadata; // Custom metadata
ctx.client; // Client information (type, user_agent, ip)
Migration Guide
From Old Output API
Before (Deprecated):
function Create(ctx, messages) {
const output = new Output(ctx);
output.Send("Hello");
output.SendGroup({ id: "grp1", messages: [...] });
}
After (Current):
function Create(ctx, messages) {
ctx.Send("Hello");
ctx.SendGroup({ id: "grp1", messages: [...] });
ctx.Flush();
return { messages };
}
Best Practices
-
Use String Shorthand:
ctx.Send("Hello")is simpler thanctx.Send({ type: "text", props: { content: "Hello" } }) -
Flush After Each Step: Ensure users see progress in real-time
-
Handle Errors Gracefully: Always provide user-friendly error messages
-
Show Progress for Long Operations: Use loading indicators for better UX
-
Return Hook Results: Always return required objects from hooks:
Create:{ messages }Before/After:{ response }Done:{}or{ response }Error:{ error }or{ retry: true }
-
Test with Different Clients: Verify behavior with both OpenAI and CUI clients