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https://github.com/microsoft/agent-framework.git
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.NET: Add DevUI package for .NET (#1603)
* Implement DevUI * Review feedback * Fix build
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@@ -45,6 +45,7 @@ import type {
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ExtendedResponseStreamEvent,
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} from "@/types";
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import { useDevUIStore } from "@/stores";
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import { loadStreamingState } from "@/services/streaming-state";
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type DebugEventHandler = (event: ExtendedResponseStreamEvent | "clear") => void;
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@@ -229,7 +230,6 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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const scrollAreaRef = useRef<HTMLDivElement>(null);
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const messagesEndRef = useRef<HTMLDivElement>(null);
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const accumulatedText = useRef<string>("");
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const textareaRef = useRef<HTMLTextAreaElement>(null);
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const currentMessageUsage = useRef<{
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total_tokens: number;
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@@ -237,6 +237,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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output_tokens: number;
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} | null>(null);
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const userJustSentMessage = useRef<boolean>(false);
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const accumulatedTextRef = useRef<string>("");
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// Auto-scroll to bottom when new items arrive
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useEffect(() => {
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@@ -281,33 +282,270 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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// Load conversations when agent changes
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useEffect(() => {
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// Resume streaming after page refresh
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const resumeStreaming = async (
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assistantMessage: import("@/types/openai").ConversationMessage,
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conversation: Conversation,
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agent: AgentInfo
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) => {
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// Load the stored state to get the response ID
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const storedState = loadStreamingState(conversation.id);
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if (!storedState || !storedState.responseId) {
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setIsStreaming(false);
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return;
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}
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try {
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// Use the stored responseId to resume the stream via GET /v1/responses/{responseId}
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const openAIRequest: import("@/types/agent-framework").AgentFrameworkRequest = {
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model: agent.id,
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input: [], // Not needed for resume (using GET)
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stream: true,
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conversation: conversation.id,
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};
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// Pass the response ID explicitly to trigger GET request
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const streamGenerator = apiClient.streamAgentExecutionOpenAIDirect(
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agent.id,
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openAIRequest,
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conversation.id,
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storedState.responseId // Pass response ID for resume
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);
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for await (const openAIEvent of streamGenerator) {
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// Pass all events to debug panel
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onDebugEvent(openAIEvent);
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// Handle response.completed event
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if (openAIEvent.type === "response.completed") {
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const completedEvent = openAIEvent as import("@/types/openai").ResponseCompletedEvent;
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const usage = completedEvent.response?.usage;
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if (usage) {
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currentMessageUsage.current = {
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input_tokens: usage.input_tokens,
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output_tokens: usage.output_tokens,
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total_tokens: usage.total_tokens,
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};
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}
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continue;
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}
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// Handle response.failed event
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if (openAIEvent.type === "response.failed") {
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const failedEvent = openAIEvent as import("@/types/openai").ResponseFailedEvent;
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const error = failedEvent.response?.error;
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const errorMessage = error
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? typeof error === "object" && "message" in error
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? (error as any).message
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: JSON.stringify(error)
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: "Request failed";
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const currentItems = useDevUIStore.getState().chatItems;
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setChatItems(currentItems.map((item) =>
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item.id === assistantMessage.id && item.type === "message"
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? {
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...item,
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content: [
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{
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type: "text",
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text: accumulatedTextRef.current || errorMessage,
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} as import("@/types/openai").MessageTextContent,
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],
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status: "incomplete" as const,
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}
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: item
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));
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setIsStreaming(false);
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return;
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}
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// Handle function approval request events
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if (openAIEvent.type === "response.function_approval.requested") {
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const approvalEvent = openAIEvent as import("@/types/openai").ResponseFunctionApprovalRequestedEvent;
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setPendingApprovals([
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...useDevUIStore.getState().pendingApprovals,
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{
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request_id: approvalEvent.request_id,
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function_call: approvalEvent.function_call,
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},
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]);
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continue;
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}
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// Handle function approval response events
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if (openAIEvent.type === "response.function_approval.responded") {
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const responseEvent = openAIEvent as import("@/types/openai").ResponseFunctionApprovalRespondedEvent;
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setPendingApprovals(
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useDevUIStore.getState().pendingApprovals.filter((a) => a.request_id !== responseEvent.request_id)
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);
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continue;
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}
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// Handle error events
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if (openAIEvent.type === "error") {
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const errorEvent = openAIEvent as ExtendedResponseStreamEvent & { message?: string };
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const errorMessage = errorEvent.message || "An error occurred";
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const currentItems = useDevUIStore.getState().chatItems;
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setChatItems(currentItems.map((item) =>
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item.id === assistantMessage.id && item.type === "message"
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? {
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...item,
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content: [
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{
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type: "text",
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text: accumulatedTextRef.current || errorMessage,
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} as import("@/types/openai").MessageTextContent,
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],
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status: "incomplete" as const,
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}
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: item
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));
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setIsStreaming(false);
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return;
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}
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// Handle text delta events
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if (
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openAIEvent.type === "response.output_text.delta" &&
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"delta" in openAIEvent &&
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openAIEvent.delta
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) {
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accumulatedTextRef.current += openAIEvent.delta;
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const currentItems = useDevUIStore.getState().chatItems;
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setChatItems(currentItems.map((item) =>
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item.id === assistantMessage.id && item.type === "message"
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? {
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...item,
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content: [
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{
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type: "text",
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text: accumulatedTextRef.current,
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} as import("@/types/openai").MessageTextContent,
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],
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status: "in_progress" as const,
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}
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: item
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));
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}
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}
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// Stream ended - mark as complete
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const finalUsage = currentMessageUsage.current;
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const currentItems = useDevUIStore.getState().chatItems;
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setChatItems(currentItems.map((item) =>
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item.id === assistantMessage.id && item.type === "message"
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? {
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...item,
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status: "completed" as const,
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usage: finalUsage || undefined,
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}
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: item
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));
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setIsStreaming(false);
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if (finalUsage) {
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updateConversationUsage(finalUsage.total_tokens);
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}
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currentMessageUsage.current = null;
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} catch (error) {
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const currentItems = useDevUIStore.getState().chatItems;
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setChatItems(currentItems.map((item) =>
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item.id === assistantMessage.id && item.type === "message"
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? {
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...item,
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content: [
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{
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type: "text",
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text: `Error resuming stream: ${
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error instanceof Error ? error.message : "Unknown error"
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}`,
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} as import("@/types/openai").MessageTextContent,
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],
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status: "incomplete" as const,
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}
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: item
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));
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setIsStreaming(false);
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}
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};
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const loadConversations = async () => {
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if (!selectedAgent) return;
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setLoadingConversations(true);
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try {
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// Step 1: Try to list conversations from backend (DevUI extension)
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// This works with DevUI backend but fails with OpenAI/Azure (they don't have list endpoint)
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// Step 1: Always try to list conversations from backend first
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// This ensures we get the latest data from the server
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try {
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const { data: conversations } = await apiClient.listConversations(
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selectedAgent.id
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);
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// Backend successfully returned conversations list
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setAvailableConversations(conversations);
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if (conversations.length > 0) {
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// Found conversations on backend - use most recent
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const mostRecent = conversations[0];
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setAvailableConversations(conversations);
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setCurrentConversation(mostRecent);
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// Load conversation items from backend
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try {
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const { data: items } = await apiClient.listConversationItems(
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mostRecent.id
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);
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// Load all conversation items with pagination
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let allItems: unknown[] = [];
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let hasMore = true;
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let after: string | undefined = undefined;
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while (hasMore) {
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const result = await apiClient.listConversationItems(
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mostRecent.id,
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{ order: "asc", after } // Load in chronological order (oldest first)
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);
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allItems = allItems.concat(result.data);
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hasMore = result.has_more;
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// Get the last item's ID for pagination
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if (hasMore && result.data.length > 0) {
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const lastItem = result.data[result.data.length - 1] as { id?: string };
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after = lastItem.id;
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}
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}
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// Use OpenAI ConversationItems directly (no conversion!)
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setChatItems(items as import("@/types/openai").ConversationItem[]);
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setChatItems(allItems as import("@/types/openai").ConversationItem[]);
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setIsStreaming(false);
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// Check for incomplete stream and resume if needed
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const state = loadStreamingState(mostRecent.id);
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if (state && !state.completed) {
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accumulatedTextRef.current = state.accumulatedText || "";
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// Add assistant message with resumed text
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const assistantMsg: import("@/types/openai").ConversationMessage = {
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id: state.lastMessageId || `assistant-${Date.now()}`,
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type: "message",
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role: "assistant",
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content: state.accumulatedText ? [{ type: "text", text: state.accumulatedText }] : [],
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status: "in_progress",
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};
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setChatItems([...allItems as import("@/types/openai").ConversationItem[], assistantMsg]);
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setIsStreaming(true);
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// Resume streaming from where we left off
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setTimeout(() => {
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resumeStreaming(assistantMsg, mostRecent, selectedAgent);
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}, 100);
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}
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// Scroll to bottom after loading conversation
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setTimeout(() => {
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messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
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}, 100);
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} catch {
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// 404 means conversation exists but has no items yet (newly created)
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// This is normal - just start with empty chat
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@@ -316,11 +554,6 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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setIsStreaming(false);
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}
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// Cache to localStorage for faster future loads
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localStorage.setItem(
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`devui_convs_${selectedAgent.id}`,
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JSON.stringify(conversations)
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);
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return;
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}
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} catch {
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@@ -371,9 +604,6 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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setAvailableConversations([newConversation]);
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setChatItems([]);
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setIsStreaming(false);
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// Save to localStorage
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localStorage.setItem(cachedKey, JSON.stringify([newConversation]));
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} catch {
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setAvailableConversations([]);
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setChatItems([]);
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@@ -387,10 +617,12 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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setChatItems([]);
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setIsStreaming(false);
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setCurrentConversation(undefined);
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accumulatedText.current = "";
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accumulatedTextRef.current = "";
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loadConversations();
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}, [selectedAgent, setLoadingConversations, setAvailableConversations, setCurrentConversation, setChatItems, setIsStreaming]);
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// currentConversation is intentionally excluded - this effect should only run when agent changes
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// eslint-disable-next-line react-hooks/exhaustive-deps
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}, [selectedAgent, onDebugEvent, setChatItems, setIsStreaming, setLoadingConversations, setAvailableConversations, setCurrentConversation, setPendingApprovals, updateConversationUsage]);
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// Handle file uploads
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const handleFilesSelected = async (files: File[]) => {
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@@ -626,16 +858,11 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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setIsStreaming(false);
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// Reset conversation usage by setting it to initial state
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useDevUIStore.setState({ conversationUsage: { total_tokens: 0, message_count: 0 } });
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accumulatedText.current = "";
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// Update localStorage cache with new conversation
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const cachedKey = `devui_convs_${selectedAgent.id}`;
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const updated = [newConversation, ...availableConversations];
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localStorage.setItem(cachedKey, JSON.stringify(updated));
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accumulatedTextRef.current = "";
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} catch {
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// Failed to create conversation
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}
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}, [selectedAgent, availableConversations, setCurrentConversation, setAvailableConversations, setChatItems, setIsStreaming]);
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}, [selectedAgent, setCurrentConversation, setAvailableConversations, setChatItems, setIsStreaming]);
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// Handle conversation deletion
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const handleDeleteConversation = useCallback(
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@@ -660,15 +887,6 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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);
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setAvailableConversations(updatedConversations);
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// Update localStorage cache
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if (selectedAgent) {
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const cachedKey = `devui_convs_${selectedAgent.id}`;
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localStorage.setItem(
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cachedKey,
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JSON.stringify(updatedConversations)
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);
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}
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// If deleted conversation was selected, switch to another conversation or clear chat
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if (currentConversation?.id === conversationId) {
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if (updatedConversations.length > 0) {
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@@ -683,7 +901,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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setChatItems([]);
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setIsStreaming(false);
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useDevUIStore.setState({ conversationUsage: { total_tokens: 0, message_count: 0 } });
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accumulatedText.current = "";
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accumulatedTextRef.current = "";
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}
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}
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@@ -694,7 +912,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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alert("Failed to delete conversation. Please try again.");
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}
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},
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[availableConversations, currentConversation, selectedAgent, onDebugEvent, setAvailableConversations, setCurrentConversation, setChatItems, setIsStreaming]
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[availableConversations, currentConversation, onDebugEvent, setAvailableConversations, setCurrentConversation, setChatItems, setIsStreaming]
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);
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// Handle conversation selection
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@@ -711,11 +929,28 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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onDebugEvent("clear");
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try {
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// Load conversation history from backend
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const result = await apiClient.listConversationItems(conversationId);
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// Load conversation history from backend with pagination
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let allItems: unknown[] = [];
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let hasMore = true;
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let after: string | undefined = undefined;
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while (hasMore) {
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const result = await apiClient.listConversationItems(conversationId, {
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order: "asc", // Load in chronological order (oldest first)
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after,
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});
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allItems = allItems.concat(result.data);
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hasMore = result.has_more;
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// Get the last item's ID for pagination
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if (hasMore && result.data.length > 0) {
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const lastItem = result.data[result.data.length - 1] as { id?: string };
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after = lastItem.id;
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}
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}
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// Use OpenAI ConversationItems directly (no conversion!)
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const items = result.data as import("@/types/openai").ConversationItem[];
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const items = allItems as import("@/types/openai").ConversationItem[];
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setChatItems(items);
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setIsStreaming(false);
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@@ -727,6 +962,27 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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message_count: items.length,
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}
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});
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// Check for incomplete stream and restore accumulated text
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const state = loadStreamingState(conversationId);
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if (state?.accumulatedText) {
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accumulatedTextRef.current = state.accumulatedText;
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// Add assistant message with resumed text - streaming will continue automatically
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const assistantMsg: import("@/types/openai").ConversationMessage = {
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id: `assistant-${Date.now()}`,
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type: "message",
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role: "assistant",
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content: [{ type: "output_text", text: state.accumulatedText }],
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status: "in_progress",
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};
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setChatItems([...items, assistantMsg]);
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setIsStreaming(true);
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}
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// Scroll to bottom after loading conversation
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setTimeout(() => {
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messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
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}, 100);
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} catch {
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// 404 means conversation doesn't exist or has no items yet
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// This can happen if server restarted (in-memory store cleared)
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@@ -736,7 +992,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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useDevUIStore.setState({ conversationUsage: { total_tokens: 0, message_count: 0 } });
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}
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accumulatedText.current = "";
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accumulatedTextRef.current = "";
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},
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[availableConversations, onDebugEvent, setCurrentConversation, setChatItems, setIsStreaming]
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);
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@@ -851,13 +1107,18 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
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}
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}
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// Clear any previous streaming state for this conversation before starting new message
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if (conversationToUse?.id) {
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apiClient.clearStreamingState(conversationToUse.id);
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}
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const apiRequest = {
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input: request.input,
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conversation_id: conversationToUse?.id,
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};
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// Clear text accumulator for new response
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accumulatedText.current = "";
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accumulatedTextRef.current = "";
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|
||||
// Use OpenAI-compatible API streaming - direct event handling
|
||||
const streamGenerator = apiClient.streamAgentExecutionOpenAI(
|
||||
@@ -884,6 +1145,35 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
|
||||
continue; // Continue processing other events
|
||||
}
|
||||
|
||||
// Handle response.failed event
|
||||
if (openAIEvent.type === "response.failed") {
|
||||
const failedEvent = openAIEvent as import("@/types/openai").ResponseFailedEvent;
|
||||
const error = failedEvent.response?.error;
|
||||
const errorMessage = error
|
||||
? typeof error === "object" && "message" in error
|
||||
? (error as any).message
|
||||
: JSON.stringify(error)
|
||||
: "Request failed";
|
||||
|
||||
const currentItems = useDevUIStore.getState().chatItems;
|
||||
setChatItems(currentItems.map((item) =>
|
||||
item.id === assistantMessage.id && item.type === "message"
|
||||
? {
|
||||
...item,
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: accumulatedTextRef.current || errorMessage,
|
||||
} as import("@/types/openai").MessageTextContent,
|
||||
],
|
||||
status: "incomplete" as const,
|
||||
}
|
||||
: item
|
||||
));
|
||||
setIsStreaming(false);
|
||||
return;
|
||||
}
|
||||
|
||||
// Handle function approval request events
|
||||
if (openAIEvent.type === "response.function_approval.requested") {
|
||||
const approvalEvent = openAIEvent as import("@/types/openai").ResponseFunctionApprovalRequestedEvent;
|
||||
@@ -943,7 +1233,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
|
||||
"delta" in openAIEvent &&
|
||||
openAIEvent.delta
|
||||
) {
|
||||
accumulatedText.current += openAIEvent.delta;
|
||||
accumulatedTextRef.current += openAIEvent.delta;
|
||||
|
||||
// Update assistant message with accumulated content
|
||||
const currentItems = useDevUIStore.getState().chatItems;
|
||||
@@ -954,7 +1244,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: accumulatedText.current,
|
||||
text: accumulatedTextRef.current,
|
||||
} as import("@/types/openai").MessageTextContent,
|
||||
],
|
||||
status: "in_progress" as const,
|
||||
|
||||
+3
-1
@@ -23,7 +23,7 @@ interface ContentRendererProps {
|
||||
|
||||
// Text content renderer
|
||||
function TextContentRenderer({ content, className, isStreaming }: ContentRendererProps) {
|
||||
if (content.type !== "text") return null;
|
||||
if (content.type !== "text" && content.type !== "input_text" && content.type !== "output_text") return null;
|
||||
|
||||
const text = content.text;
|
||||
|
||||
@@ -160,6 +160,8 @@ function FileContentRenderer({ content, className }: ContentRendererProps) {
|
||||
export function OpenAIContentRenderer({ content, className, isStreaming }: ContentRendererProps) {
|
||||
switch (content.type) {
|
||||
case "text":
|
||||
case "input_text":
|
||||
case "output_text":
|
||||
return <TextContentRenderer content={content} className={className} isStreaming={isStreaming} />;
|
||||
case "input_image":
|
||||
return <ImageContentRenderer content={content} className={className} />;
|
||||
|
||||
@@ -554,6 +554,10 @@ export function WorkflowView({
|
||||
try {
|
||||
const request = { input_data: inputData };
|
||||
|
||||
// Clear any previous streaming state before starting new workflow execution
|
||||
// Note: Workflows don't use conversation IDs, so we use workflow ID as the key
|
||||
apiClient.clearStreamingState(selectedWorkflow.id);
|
||||
|
||||
// Use OpenAI-compatible API streaming - direct event handling
|
||||
const streamGenerator = apiClient.streamWorkflowExecutionOpenAI(
|
||||
selectedWorkflow.id,
|
||||
|
||||
Reference in New Issue
Block a user