Prompt: Architecture
Please document the architecture of the following source code embedded in ``` with the file name in the first comment line, by providing a plantuml sequence diagram and detailed description of the request, response data flow and an overall explanation of how they work.
Source Code
# /console.md
---
title: Console
summary: Server-Sent Events (SSE) allow you to stream intermediate results to the client in real-time while the serverless function is processing.
layout: base_layout.njk
date: Last Modified
show_last_updated: true
console: true
---
[How it works](/dev/server-side-events/)
<div class="container-fluid">
<div class="row">
<div class="col-3 mb-3 form-floating">
<select id="function-select" class="form-select">
<option value="simple">simple</option>
<option value="xata">xata</option>
<option value="retrievalAugmentedGeneration">retrievalAugmentedGeneration</option>
</select>
<label for="function-select">Serverless Function</label>
<textarea id="parameters" class="form-control shadow p-3 mb-5 bg-body-tertiary rounded" aria-label="Parameters" aria-describedby="parameters"></textarea>
<div class="form-check">
<input class="form-check-input" type="checkbox" value="" id="chkstreamEventsToClient">
<label class="form-check-label" for="chkstreamEventsToClient">Stream Events</label>
</div>
<button id="btnSubmit" type="submit" class="btn btn-primary">Send</button>
</div>
<div class="col">
<div id="streamed-data-results" class="col mx-auto text-success shadow p-3 mb-5 bg-body-tertiary rounded"></div>
</div>
<div class="col">
<div id="streamed-data-events" class="col mx-auto console shadow p-3 mb-5 rounded d-none"></div>
</div>
</div>
</div>
<!-- Hidden JSON element -->
<div id="hidden-json" style="display: none;">
{
"simple": {
"parameters": { "topic": "cats" },
"expecting": "cats"
},
"xata": {
"parameters": { "orgId": "toip" },
"expecting": "messages_toip"
},
"retrievalAugmentedGeneration": {
"parameters": { "orgId": "toip", "query": "Who lead the effort on the Issuer Requirements Guide according to the GSWG 2024-01-11 transcripts?" },
"expecting": "Scott Perry"
}
}
</div>
// consoleClient.js
const btnSubmit = document.getElementById("btnSubmit");
const dataDivEvents = document.getElementById("streamed-data-events");
const dataDivResults = document.getElementById("streamed-data-results");
const functionSelect = document.getElementById("function-select");
const parametersTextarea = document.getElementById("parameters");
const hiddenJson = document.getElementById("hidden-json").textContent;
const jsonData = JSON.parse(hiddenJson);
const chkstreamEventsToClient = document.getElementById("chkstreamEventsToClient");
functionSelect.addEventListener("change", function () {
const testFunc = functionSelect.value;
const testParms = jsonData[testFunc].parameters;
parametersTextarea.value = JSON.stringify(testParms, null, 2);
adjustTextareaHeight();
});
// Trigger change event on page load to populate textarea with initial value
functionSelect.dispatchEvent(new Event("change"));
// Adjust the height of the textarea to fit the content
function adjustTextareaHeight() {
parametersTextarea.style.height = "auto"; // Reset the height
parametersTextarea.style.height =
Math.max(parametersTextarea.scrollHeight, 100) + "px"; // Set the new height with a minimum of 38px (or any other value you prefer)
}
// Adjust the height initially and on input events
adjustTextareaHeight();
parametersTextarea.addEventListener("input", adjustTextareaHeight);
// Checkbox to Stream Events
chkstreamEventsToClient.addEventListener("change", () => {
if (chkstreamEventsToClient.checked) {
// Remove class 'd-none' to show the div for events
dataDivEvents.classList.remove("d-none");
} else {
// Toggle visibility of the div for events
dataDivEvents.classList.add("d-none");
}
});
// Handle the form submission
async function handlEdgeFunction() {
const testFunc = functionSelect.value;
const testParms = JSON.parse(parametersTextarea.value);
const streamEventsToClient = chkstreamEventsToClient.checked;
const selectedTest = { testFunc, testParms, streamEventsToClient };
const url = `${window.location.origin}/simple`;
try {
dataDivEvents.innerText = ""; // Clear the div before streaming new data
dataDivResults.innerText = ""; // Clear the div before streaming new data
const response = await fetch(url, {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify(selectedTest),
});
console.log(`consoleClient url ${url} response.status: ${response.status}`);
if (!response.ok) {
throw new Error("Failed to get response from server");
}
const reader = response.body.getReader();
const decoder = new TextDecoder("utf-8");
let content = "";
try {
while (true) {
const { done, value } = await reader.read();
if (done) break;
content += decoder.decode(value, { stream: true });
// Split the content by the SSE message separator
const messages = content.split("\n\n");
const isSSE = content.includes("data: ");
for (const message of messages.slice(0, -1)) {
// Process all messages except the last (incomplete) one
// Server-sent events
if (isSSE) {
const data = message.replace("data: ", ""); // Remove the "data: " prefix
try {
const parsedData = JSON.parse(data);
// Update the div for events
if (parsedData.type === "events-llm") {
dataDivEvents.innerText += JSON.stringify(
parsedData.llm,
null,
2
);
} else if (parsedData.type === "events-prompts") {
dataDivEvents.innerText += JSON.stringify(
parsedData.prompts,
null,
2
);
} else if (parsedData.type === "events-output") {
dataDivEvents.innerText += JSON.stringify(
parsedData.output,
null,
2
);
} else if (parsedData.type === "events-err") {
dataDivEvents.innerText += JSON.stringify(
parsedData.err,
null,
2
);
// Update the div for results
} else if (parsedData.type === "results") {
dataDivResults.innerText += parsedData.chunk;
} else {
console.error("Unknown message type:", parsedData.type);
}
} catch (error) {
console.error("Error parsing JSON:", error);
}
} else {
// Regular response
// Update the div for results
dataDivResults.innerText += message;
} // isSSE
} // for message
content = messages[messages.length - 1]; // Keep the last (incomplete) message for the next iteration
// } catch (error) {
// console.error("Error reading stream:", error);
// // Handle stream reading error...
// } finally {
// reader.cancel(); // Close the reader
}
} catch (error) {
console.error("Error reading stream:", error);
// Handle stream reading error...
} finally {
reader.cancel(); // Close the reader
}
} catch (error) {
console.error("Error:", error);
}
}
btnSubmit.addEventListener("click", async function (event) {
event.preventDefault();
handlEdgeFunction();
});
// /edge/simple_Edge_test.js
export default async (request, context) => {
const funcName = "simple_Edge_test";
let protocol, body, testFunc, testParms;
try {
if (request.method == "GET") {
// Create a URL object from the request URL
const url = new URL(request.url);
// Use the searchParams property to get specific query parameters
testFunc = url.searchParams.get("testFunc");
testParms = url.searchParams.get("testParms");
} else if (request.method == "POST") {
body = await request.json();
testFunc = body.testFunc;
testParms = body.testParms;
} else {
return new Response(`${funcName} Invalid Method`, { status: 405 });
}
if (!testFunc || !testParms) {
return new Response(`${funcName} Missing testFunc or testParms`, {
status: 400,
});
}
// Servderless function URL
const host = request.headers.get("host");
if (host.includes("localhost")) {
protocol = "http";
} else {
protocol = "https";
}
const serverlessFunctionUrl = `${protocol}:${host}/.netlify/functions/${testFunc}_Serverless_test`;
console.log(`Testing ${testFunc} ${JSON.stringify(testParms, null, 2)}`);
// Call the serverless function
const response = await fetch(serverlessFunctionUrl, {
method: "POST",
body: JSON.stringify(body),
headers: {
"Content-Type": "application/json",
},
});
console.log(`${testFunc} response.statusCode: ${response.status}`);
// Handle the response
// Simply forwards the serverless function's response
return new Response(response.body, {
status: response.statusCode,
headers: response.headers,
});
} catch (error) {
console.error("Error:", error);
return new Response(`${funcName} Internal Server Error`, { status: 500 });
}
};
export const config = {
path: "/simple",
};
// /serverless/simple_Serverless_test.js
import { stream } from "@netlify/functions";
import { StringOutputParser } from "@langchain/core/output_parsers";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { createChatOpenAIModel } from "../utils/helpers.js";
import {
createResponseStream,
writeToStream,
closeStream,
} from "../utils/eventsModule";
export const handler = stream(async (event) => {
const funcName = "simple_Serverless_test";
let testFunc,
testParms,
streamEventsToClient = false;
verbose = true;
console.log(`Testing ${funcName} `);
try {
if (event.httpMethod == "POST") {
const body = JSON.parse(event.body);
console.log(`Testing ${funcName} body: ${JSON.stringify(body, null, 2)}`);
testFunc = body.testFunc;
testParms = body.testParms;
streamEventsToClient = body.streamEventsToClient;
} else if (event.httpMethod === "GET") {
testFunc = event.queryStringParameters.testFunc;
testParms = event.queryStringParameters.testParms;
streamEventsToClient = event.queryStringParameters.streamEventsToClient;
} else {
return new Response(`${funcName} Invalid Method`, { statusCode: 405 });
}
if (!testFunc || !testParms) {
return new Response(`${funcName} Missing testFunc or testParms`, {
statusCode: 400,
});
}
// Echo the testFunc, testParms & streamEventsToClient
console.log(
`${funcName} testFunc: ${testFunc} streamEventsToClient: ${streamEventsToClient} testParms: ${JSON.stringify(
testParms,
null,
2
)}`
);
// Unique parms to test
const topic = testParms?.topic;
if (!topic) {
return new Response(`${funcName} Missing testParms: topic`, {
statusCode: 400,
});
}
console.log(`${funcName} testFunc: ${testFunc} topic: ${topic}`);
// ReadaableStream instance
//const responseStream = createResponseStream();
let chunks = "";
const responseBody = new ReadableStream({
async start(controller) {
// Create the OpenAI model
const options = {
model: process.env.OPENAI_DEFAULT_MODEL,
subscribeToEvents: true,
streamEventsToClient,
onEvent: (event) => {
controller.enqueue(`data: ${JSON.stringify(event)}\n\n`);
},
};
const model = await createChatOpenAIModel(options);
const prompt = ChatPromptTemplate.fromTemplate(
"Write a short poem about {topic}"
);
const parser = new StringOutputParser();
const chain = prompt.pipe(model).pipe(parser);
const response = await chain.stream({ topic });
for await (const chunk of response) {
controller.enqueue(
`data: ${JSON.stringify({ type: "results", chunk })}\n\n`
);
chunks += chunk;
}
controller.close();
},
});
// SSE
// let chunks = "",
// responseBody;
// const useSSE = false; // is the only way it streams data in real time
// if (useSSE) {
// for await (const chunk of response) {
// writeToStream(responseStream, { type: "results", chunk }, verbose);
// chunks += chunk;
// }
// // Remove all listeners from the stream before returning it
// closeStream(responseStream, verbose);
// } else {
// responseBody = new ReadableStream({
// async start(controller) {
// for await (const chunk of response) {
// controller.enqueue(
// `data: ${JSON.stringify({ type: "results", chunk })}\n\n`
// );
// chunks += chunk;
// }
// controller.close();
// },
// });
// }
console.log(`simple_Serverless_test chunks: ${chunks}`);
return {
headers: {
"Content-Type": "text/event-stream",
"Cache-Control": "no-cache",
// Connection: "keep-alive",
},
statusCode: 200,
body: responseBody, // useSSE ? responseStream : responseBody,
};
} catch (error) {
console.error("error", error);
return {
statusCode: 500,
body: JSON.stringify({
error: `${funcName} Error calling ${testFunc} with parms ${testParms}`,
}),
};
}
});
// helpers.js function
/**
* @name createChatOpenAIModel
* @description Create Chat OpenAI Model
* @param {object} options
* @param {string} options.modelName
* @param {string} options.openAIApiKey
* @param {string} options.temperature
* @param {string} options.streaming
* @param {object} options.signal
* @param {number} [options.timeout] - 1000 * 60 * 1; // 1 minutes ms * seconds * minutes
* @param {number} [options.maxRetries] - 10; // Dealing with API Errors
* @param {number} [options.maxConcurrency] - 5; // Deal with API Rate Limits
* @param {boolean} [options.subscribeToEvents] - false // Subscribe to events
* @param {object} [options.streamEventsToClient] // if true stream for events
* @param {object} [options.onEvent] // function to eenqueue events
* @param {boolean} [options.intermediateSteps] - false // Intermediate steps
* @param {boolean} [options.verbose] - env "VERBOSE"
* @return {Promise
Response
Here's a detailed description and a PlantUML sequence diagram of the request and response data flow for the provided source code:
Overall Description:
This architecture demonstrates a Server-Sent Events (SSE) implementation for streaming intermediate results and events from a serverless function to a client-side application in real-time. The client-side application allows users to select a serverless function, provide parameters, and optionally enable event streaming. The serverless function processes the request and streams back results and events as they occur.
Sequence Diagram:
plantuml
@startuml participant "Client (Browser)" as Client participant "Edge Function" as Edge participant "Serverless Function" as Serverless participant "OpenAI Model" as OpenAI
Client -> Edge : POST /simple\n{testFunc, testParms, streamEventsToClient} Edge -> Serverless : POST /{testFunc}_Serverless_test\n{testParms, streamEventsToClient} Serverless -> OpenAI : createChatOpenAIModel(options) OpenAI -> Serverless : Stream events (if streamEventsToClient is true) Serverless -> Edge : Stream events (SSE) Edge -> Client : Stream events (SSE) OpenAI -> Serverless : Process results Serverless -> Edge : Stream results (SSE) Edge -> Client : Stream results (SSE) @enduml
Data Flow Description:
-
Client (Browser):
- The user selects a serverless function and provides parameters through the UI.
- Optionally, the user can enable event streaming by checking the "Stream Events" checkbox.
- The user clicks the "Send" button, triggering a POST request to the Edge Function with the selected function, parameters, and the event streaming option.
-
Edge Function (
simple_Edge_test.js):- Receives the POST request from the client.
- Extracts the serverless function name (
testFunc), parameters (testParms), and event streaming option (streamEventsToClient). - Constructs the URL for the corresponding serverless function and forwards the request to it.
-
Serverless Function (
simple_Serverless_test.js):- Receives the request from the Edge Function.
- Creates an instance of the OpenAI model using
createChatOpenAIModel, passing in the options including the event streaming option. - If event streaming is enabled, the OpenAI model streams intermediate events back to the serverless function, which then streams them to the Edge Function, and finally to the client.
- Processes the request and streams the results back to the Edge Function, which then streams them to the client.
-
OpenAI Model (
createChatOpenAIModelinhelpers.js):- Created by the serverless function with options including callbacks for handling events if event streaming is enabled.
- Streams intermediate events (e.g.,
events-llm,events-prompts,events-output,events-err) back to the serverless function as they occur. - Processes the request and returns the results to the serverless function.
Client-Side Streaming:
- The client-side JavaScript (
consoleClient.js) uses theReadableStreamAPI to read the streamed events and results from the server. - It updates the respective div elements (
streamed-data-eventsandstreamed-data-results) with the streamed data in real-time.
This architecture allows for real-time streaming of intermediate events and final results from a serverless function to a client-side application, providing a dynamic and interactive user experience.
Prompt: Timeouts?
Since Edge Functions do not timeout provided they receive a response within a certain amount of time and Serverless functions will timeout after 26 seconds, can you explain with a plantuml sequence diagram how this architecture mitigates the timeout risk?
Response
The architecture mitigates the timeout risk by utilizing Server-Sent Events (SSE) to stream data from the serverless function to the client through the edge function. This continuous streaming of data keeps the connection alive, reducing the risk of timeouts. Here's a PlantUML sequence diagram illustrating how this works:
plantuml
@startuml participant "Client (Browser)" as Client participant "Edge Function" as Edge participant "Serverless Function" as Serverless
Client -> Edge : POST /simple\n{testFunc, testParms, streamEventsToClient} Edge -> Serverless : POST /{testFunc}_Serverless_test\n{testParms, streamEventsToClient} Serverless -> Edge : SSE Connection Established loop Every few seconds Serverless -> Edge : Stream Heartbeat or Data Edge -> Client : Forward Heartbeat or Data end Serverless -> Edge : Stream Final Results Edge -> Client : Forward Final Results Serverless -> Edge : Close SSE Connection Edge -> Client : Close SSE Connection @enduml
Description:
-
Client (Browser): Initiates a POST request to the edge function with the selected serverless function, parameters, and the event streaming option.
-
Edge Function: Receives the request and forwards it to the corresponding serverless function.
-
Serverless Function: Establishes an SSE connection back to the edge function. To keep the connection alive and prevent timeouts, the serverless function sends periodic heartbeat messages or data chunks to the edge function. These heartbeats/data are then forwarded to the client by the edge function.
-
Continuous Streaming: As long as the serverless function continues to stream data (or heartbeats) within the timeout window (e.g., every few seconds), the connection remains active, and the risk of timeouts is reduced.
-
Final Results: Once the processing is complete, the serverless function streams the final results to the edge function, which forwards them to the client.
-
Connection Closure: After the final results are sent, the serverless function closes the SSE connection. The edge function then closes the connection to the client.
By continuously streaming data or heartbeats, this architecture keeps the connection active, preventing the serverless function from timing out due to inactivity. This approach is particularly useful for long-running processes that might exceed the typical timeout limit of serverless functions.
Prompt: response.ok = true
Does the serverless function respond with 'response.ok = true" after being 'fetch'ed as acknowledgement and therefore satisfies the Edge Function timeout limitations?
Response
Yes, the serverless function responds with response.ok = true after being fetched, which indicates that the response was successful (i.e., the status code is in the range 200–299). This response is then forwarded by the Edge Function to the client. As long as the Edge Function receives this response within its timeout window, it won't timeout, even if the serverless function continues to stream data after sending the initial response.
Here's a PlantUML sequence diagram illustrating how this architecture mitigates the timeout risk:
plantuml
@startuml participant "Client (Browser)" as Client participant "Edge Function" as Edge participant "Serverless Function" as Serverless
Client -> Edge : POST /simple\n{testFunc, testParms, streamEventsToClient} Edge -> Serverless : POST /{testFunc}_Serverless_test\n{testParms, streamEventsToClient} Serverless --> Edge : HTTP 200 OK note right of Serverless: Initial response to prevent timeout Serverless -> Edge : Stream events (SSE) Serverless -> Edge : Stream results (SSE) Edge -> Client : Stream events (SSE) Edge -> Client : Stream results (SSE) @enduml
mermaid
sequenceDiagram
participant Client as "Client (Browser)"
participant Edge as "Edge Function"
participant Serverless as "Serverless Function"
Client->>Edge: POST /simple
{testFunc, testParms, streamEventsToClient}
Edge->>Serverless: POST /{testFunc}_Serverless_test
{testParms, streamEventsToClient}
Serverless-->>Edge: HTTP 200 OK
Note right of Serverless: Initial response to prevent timeout
Serverless->>Edge: Stream events (SSE)
Serverless->>Edge: Stream results (SSE)
Edge->>Client: Stream events (SSE)
Edge->>Client: Stream results (SSE)
Explanation:
- The Client (Browser) sends a POST request to the Edge Function with the selected function, parameters, and the event streaming option.
- The Edge Function forwards the request to the corresponding Serverless Function.
- The Serverless Function quickly sends an initial HTTP 200 OK response back to the Edge Function. This initial response is crucial because it acknowledges the request and prevents the Edge Function from timing out while waiting for a response.
- After sending the initial response, the Serverless Function continues to process the request. If event streaming is enabled, it streams intermediate events back to the Edge Function using Server-Sent Events (SSE).
- The Serverless Function then streams the final results back to the Edge Function.
- The Edge Function forwards the streamed events and results to the Client (Browser) in real-time.
By sending an initial response from the Serverless Function to the Edge Function, this architecture ensures that the Edge Function does not timeout while waiting for the complete processing of the request. The subsequent streaming of events and results is handled independently of this initial response, allowing for real-time updates without the risk of timeout.