add progress bar completion

Add an asymptotic progress bar that appears after 10 seconds of waiting,
showing visual feedback for long-running tasks. The progress bar uses a
half-life formula where it reaches ~50% at 30s, ~75% at 60s, ~87.5% at 90s,
and so on - creating the classic "game loading bar" effect that slows down
but never reaches 100%.

autogpt_platform/backend/backend/blocks/linear/_api.py

@@ -162,8 +162,16 @@ class LinearClient:
                 "searchTerm": team_name,
             }
 
-            team_id = await self.query(query, variables)
-            return team_id["teams"]["nodes"][0]["id"]
+            result = await self.query(query, variables)
+            nodes = result["teams"]["nodes"]
+
+            if not nodes:
+                raise LinearAPIException(
+                    f"Team '{team_name}' not found. Check the team name or key and try again.",
+                    status_code=404,
+                )
+
+            return nodes[0]["id"]
         except LinearAPIException as e:
             raise e
 
@@ -240,17 +248,44 @@ class LinearClient:
         except LinearAPIException as e:
             raise e
 
-    async def try_search_issues(self, term: str) -> list[Issue]:
+    async def try_search_issues(
+        self,
+        term: str,
+        max_results: int = 10,
+        team_id: str | None = None,
+    ) -> list[Issue]:
         try:
             query = """
-                query SearchIssues($term: String!, $includeComments: Boolean!) {
-                    searchIssues(term: $term, includeComments: $includeComments) {
+                query SearchIssues(
+                    $term: String!,
+                    $first: Int,
+                    $teamId: String
+                ) {
+                    searchIssues(
+                        term: $term,
+                        first: $first,
+                        teamId: $teamId
+                    ) {
                         nodes {
                             id
                             identifier
                             title
                             description
                             priority
+                            createdAt
+                            state {
+                                id
+                                name
+                                type
+                            }
+                            project {
+                                id
+                                name
+                            }
+                            assignee {
+                                id
+                                name
+                            }
                         }
                     }
                 }
@@ -258,7 +293,8 @@ class LinearClient:
 
             variables: dict[str, Any] = {
                 "term": term,
-                "includeComments": True,
+                "first": max_results,
+                "teamId": team_id,
             }
 
             issues = await self.query(query, variables)

autogpt_platform/backend/backend/blocks/linear/issues.py

@@ -17,7 +17,7 @@ from ._config import (
     LinearScope,
     linear,
 )
-from .models import CreateIssueResponse, Issue
+from .models import CreateIssueResponse, Issue, State
 
 
 class LinearCreateIssueBlock(Block):
@@ -135,9 +135,20 @@ class LinearSearchIssuesBlock(Block):
             description="Linear credentials with read permissions",
             required_scopes={LinearScope.READ},
         )
+        max_results: int = SchemaField(
+            description="Maximum number of results to return",
+            default=10,
+            ge=1,
+            le=100,
+        )
+        team_name: str | None = SchemaField(
+            description="Optional team name to filter results (e.g., 'Internal', 'Open Source')",
+            default=None,
+        )
 
     class Output(BlockSchemaOutput):
         issues: list[Issue] = SchemaField(description="List of issues")
+        error: str = SchemaField(description="Error message if the search failed")
 
     def __init__(self):
         super().__init__(
@@ -145,8 +156,11 @@ class LinearSearchIssuesBlock(Block):
             description="Searches for issues on Linear",
             input_schema=self.Input,
             output_schema=self.Output,
+            categories={BlockCategory.PRODUCTIVITY, BlockCategory.ISSUE_TRACKING},
             test_input={
                 "term": "Test issue",
+                "max_results": 10,
+                "team_name": None,
                 "credentials": TEST_CREDENTIALS_INPUT_OAUTH,
             },
             test_credentials=TEST_CREDENTIALS_OAUTH,
@@ -156,10 +170,14 @@ class LinearSearchIssuesBlock(Block):
                     [
                         Issue(
                             id="abc123",
-                            identifier="abc123",
+                            identifier="TST-123",
                             title="Test issue",
                             description="Test description",
                             priority=1,
+                            state=State(
+                                id="state1", name="In Progress", type="started"
+                            ),
+                            createdAt="2026-01-15T10:00:00.000Z",
                         )
                     ],
                 )
@@ -168,10 +186,12 @@ class LinearSearchIssuesBlock(Block):
                 "search_issues": lambda *args, **kwargs: [
                     Issue(
                         id="abc123",
-                        identifier="abc123",
+                        identifier="TST-123",
                         title="Test issue",
                         description="Test description",
                         priority=1,
+                        state=State(id="state1", name="In Progress", type="started"),
+                        createdAt="2026-01-15T10:00:00.000Z",
                     )
                 ]
             },
@@ -181,10 +201,22 @@ class LinearSearchIssuesBlock(Block):
     async def search_issues(
         credentials: OAuth2Credentials | APIKeyCredentials,
         term: str,
+        max_results: int = 10,
+        team_name: str | None = None,
     ) -> list[Issue]:
         client = LinearClient(credentials=credentials)
-        response: list[Issue] = await client.try_search_issues(term=term)
-        return response
+
+        # Resolve team name to ID if provided
+        # Raises LinearAPIException with descriptive message if team not found
+        team_id: str | None = None
+        if team_name:
+            team_id = await client.try_get_team_by_name(team_name=team_name)
+
+        return await client.try_search_issues(
+            term=term,
+            max_results=max_results,
+            team_id=team_id,
+        )
 
     async def run(
         self,
@@ -196,7 +228,10 @@ class LinearSearchIssuesBlock(Block):
         """Execute the issue search"""
         try:
             issues = await self.search_issues(
-                credentials=credentials, term=input_data.term
+                credentials=credentials,
+                term=input_data.term,
+                max_results=input_data.max_results,
+                team_name=input_data.team_name,
             )
             yield "issues", issues
         except LinearAPIException as e:

autogpt_platform/backend/backend/blocks/linear/models.py

@@ -36,12 +36,21 @@ class Project(BaseModel):
     content: str | None = None
 
 
+class State(BaseModel):
+    id: str
+    name: str
+    type: str | None = (
+        None  # Workflow state type (e.g., "triage", "backlog", "started", "completed", "canceled")
+    )
+
+
 class Issue(BaseModel):
     id: str
     identifier: str
     title: str
     description: str | None
     priority: int
+    state: State | None = None
     project: Project | None = None
     createdAt: str | None = None
     comments: list[Comment] | None = None

autogpt_platform/frontend/src/components/contextual/Chat/components/MessageList/MessageList.tsx

@@ -1,6 +1,7 @@
 "use client";
 
 import { cn } from "@/lib/utils";
+import { useEffect, useState } from "react";
 import type { ChatMessageData } from "../ChatMessage/useChatMessage";
 import { StreamingMessage } from "../StreamingMessage/StreamingMessage";
 import { ThinkingMessage } from "../ThinkingMessage/ThinkingMessage";
@@ -31,6 +32,29 @@ export function MessageList({
     isStreaming,
   });
 
+  const [showThinkingMessage, setShowThinkingMessage] = useState(false);
+  const [thinkingComplete, setThinkingComplete] = useState(false);
+
+  // Manage thinking message visibility and completion state
+  useEffect(() => {
+    if (isStreaming && streamingChunks.length === 0) {
+      // Start showing thinking message
+      setShowThinkingMessage(true);
+      setThinkingComplete(false);
+    } else if (streamingChunks.length > 0 && showThinkingMessage) {
+      // Chunks arrived - trigger completion animation
+      setThinkingComplete(true);
+    } else if (!isStreaming) {
+      // Streaming ended completely - reset state
+      setShowThinkingMessage(false);
+      setThinkingComplete(false);
+    }
+  }, [isStreaming, streamingChunks.length, showThinkingMessage]);
+
+  function handleThinkingAnimationComplete() {
+    setShowThinkingMessage(false);
+  }
+
   return (
     <div className="relative flex min-h-0 flex-1 flex-col">
       {/* Top fade shadow */}
@@ -92,10 +116,15 @@ export function MessageList({
           })()}
 
           {/* Render thinking message when streaming but no chunks yet */}
-          {isStreaming && streamingChunks.length === 0 && <ThinkingMessage />}
+          {showThinkingMessage && (
+            <ThinkingMessage
+              isComplete={thinkingComplete}
+              onAnimationComplete={handleThinkingAnimationComplete}
+            />
+          )}
 
-          {/* Render streaming message if active */}
-          {isStreaming && streamingChunks.length > 0 && (
+          {/* Render streaming message if active (wait for thinking animation to complete) */}
+          {isStreaming && streamingChunks.length > 0 && !showThinkingMessage && (
             <StreamingMessage
               chunks={streamingChunks}
               onComplete={onStreamComplete}

autogpt_platform/frontend/src/components/contextual/Chat/components/ThinkingMessage/ThinkingMessage.tsx

@@ -1,28 +1,41 @@
+import { Progress } from "@/components/atoms/Progress/Progress";
 import { cn } from "@/lib/utils";
 import { useEffect, useRef, useState } from "react";
 import { AIChatBubble } from "../AIChatBubble/AIChatBubble";
+import { useAsymptoticProgress } from "../ToolCallMessage/useAsymptoticProgress";
 
 export interface ThinkingMessageProps {
   className?: string;
+  isComplete?: boolean;
+  onAnimationComplete?: () => void;
 }
 
-export function ThinkingMessage({ className }: ThinkingMessageProps) {
+export function ThinkingMessage({
+  className,
+  isComplete = false,
+  onAnimationComplete,
+}: ThinkingMessageProps) {
   const [showSlowLoader, setShowSlowLoader] = useState(false);
   const [showCoffeeMessage, setShowCoffeeMessage] = useState(false);
   const timerRef = useRef<NodeJS.Timeout | null>(null);
   const coffeeTimerRef = useRef<NodeJS.Timeout | null>(null);
+  const delayTimerRef = useRef<NodeJS.Timeout | null>(null);
+  const { progress, isAnimationDone } = useAsymptoticProgress(
+    showCoffeeMessage,
+    isComplete,
+  );
 
   useEffect(() => {
     if (timerRef.current === null) {
       timerRef.current = setTimeout(() => {
         setShowSlowLoader(true);
-      }, 8000);
+      }, 3000);
     }
 
     if (coffeeTimerRef.current === null) {
       coffeeTimerRef.current = setTimeout(() => {
         setShowCoffeeMessage(true);
-      }, 10000);
+      }, 8000);
     }
 
     return () => {
@@ -37,6 +50,22 @@ export function ThinkingMessage({ className }: ThinkingMessageProps) {
     };
   }, []);
 
+  // Handle completion animation delay before unmounting
+  useEffect(() => {
+    if (isAnimationDone && onAnimationComplete) {
+      delayTimerRef.current = setTimeout(() => {
+        onAnimationComplete();
+      }, 200); // 200ms delay after animation completes
+    }
+
+    return () => {
+      if (delayTimerRef.current) {
+        clearTimeout(delayTimerRef.current);
+        delayTimerRef.current = null;
+      }
+    };
+  }, [isAnimationDone, onAnimationComplete]);
+
   return (
     <div
       className={cn(
@@ -49,9 +78,18 @@ export function ThinkingMessage({ className }: ThinkingMessageProps) {
           <AIChatBubble>
             <div className="transition-all duration-500 ease-in-out">
               {showCoffeeMessage ? (
-                <span className="inline-block animate-shimmer bg-gradient-to-r from-neutral-400 via-neutral-600 to-neutral-400 bg-[length:200%_100%] bg-clip-text text-transparent">
-                  This could take a few minutes, grab a coffee ☕️
-                </span>
+                <div className="flex flex-col items-center gap-3">
+                  <div className="flex w-full max-w-[280px] flex-col gap-1.5">
+                    <div className="flex items-center justify-between text-xs text-neutral-500">
+                      <span>Working on it...</span>
+                      <span>{Math.round(progress)}%</span>
+                    </div>
+                    <Progress value={progress} className="h-2 w-full" />
+                  </div>
+                  <span className="inline-block animate-shimmer bg-gradient-to-r from-neutral-400 via-neutral-600 to-neutral-400 bg-[length:200%_100%] bg-clip-text text-transparent">
+                    This could take a few minutes, grab a coffee ☕️
+                  </span>
+                </div>
               ) : showSlowLoader ? (
                 <span className="inline-block animate-shimmer bg-gradient-to-r from-neutral-400 via-neutral-600 to-neutral-400 bg-[length:200%_100%] bg-clip-text text-transparent">
                   Taking a bit more time...

autogpt_platform/frontend/src/components/contextual/Chat/components/ToolCallMessage/useAsymptoticProgress.ts

@@ -0,0 +1,117 @@
+import { useEffect, useRef, useState } from "react";
+
+/**
+ * Cubic Ease Out easing function: 1 - (1 - t)^3
+ * Starts fast and decelerates smoothly to a stop.
+ */
+function cubicEaseOut(t: number): number {
+  return 1 - Math.pow(1 - t, 3);
+}
+
+export interface AsymptoticProgressResult {
+  progress: number;
+  isAnimationDone: boolean;
+}
+
+/**
+ * Hook that returns a progress value that starts fast and slows down,
+ * asymptotically approaching but never reaching the max value.
+ *
+ * Uses a half-life formula: progress = max * (1 - 0.5^(time/halfLife))
+ * This creates the "game loading bar" effect where:
+ * - 50% is reached at halfLifeSeconds
+ * - 75% is reached at 2 * halfLifeSeconds
+ * - 87.5% is reached at 3 * halfLifeSeconds
+ * - and so on...
+ *
+ * When isComplete is set to true, animates from current progress to 100%
+ * using Cubic Ease Out over 300ms.
+ *
+ * @param isActive - Whether the progress should be animating
+ * @param isComplete - Whether to animate to 100% (completion animation)
+ * @param halfLifeSeconds - Time in seconds to reach 50% progress (default: 30)
+ * @param maxProgress - Maximum progress value to approach (default: 100)
+ * @param intervalMs - Update interval in milliseconds (default: 100)
+ * @returns Object with current progress value and whether completion animation is done
+ */
+export function useAsymptoticProgress(
+  isActive: boolean,
+  isComplete = false,
+  halfLifeSeconds = 30,
+  maxProgress = 100,
+  intervalMs = 100,
+): AsymptoticProgressResult {
+  const [progress, setProgress] = useState(0);
+  const [isAnimationDone, setIsAnimationDone] = useState(false);
+  const elapsedTimeRef = useRef(0);
+  const completionStartProgressRef = useRef<number | null>(null);
+  const animationFrameRef = useRef<number | null>(null);
+
+  // Handle asymptotic progress when active but not complete
+  useEffect(() => {
+    if (!isActive || isComplete) {
+      if (!isComplete) {
+        setProgress(0);
+        elapsedTimeRef.current = 0;
+        setIsAnimationDone(false);
+        completionStartProgressRef.current = null;
+      }
+      return;
+    }
+
+    const interval = setInterval(() => {
+      elapsedTimeRef.current += intervalMs / 1000;
+      // Half-life approach: progress = max * (1 - 0.5^(time/halfLife))
+      // At t=halfLife: 50%, at t=2*halfLife: 75%, at t=3*halfLife: 87.5%, etc.
+      const newProgress =
+        maxProgress *
+        (1 - Math.pow(0.5, elapsedTimeRef.current / halfLifeSeconds));
+      setProgress(newProgress);
+    }, intervalMs);
+
+    return () => clearInterval(interval);
+  }, [isActive, isComplete, halfLifeSeconds, maxProgress, intervalMs]);
+
+  // Handle completion animation
+  useEffect(() => {
+    if (!isComplete) {
+      return;
+    }
+
+    // Capture the starting progress when completion begins
+    if (completionStartProgressRef.current === null) {
+      completionStartProgressRef.current = progress;
+    }
+
+    const startProgress = completionStartProgressRef.current;
+    const animationDuration = 300; // 300ms
+    const startTime = performance.now();
+
+    function animate(currentTime: number) {
+      const elapsed = currentTime - startTime;
+      const t = Math.min(elapsed / animationDuration, 1);
+
+      // Cubic Ease Out from current progress to maxProgress
+      const easedProgress =
+        startProgress + (maxProgress - startProgress) * cubicEaseOut(t);
+      setProgress(easedProgress);
+
+      if (t < 1) {
+        animationFrameRef.current = requestAnimationFrame(animate);
+      } else {
+        setProgress(maxProgress);
+        setIsAnimationDone(true);
+      }
+    }
+
+    animationFrameRef.current = requestAnimationFrame(animate);
+
+    return () => {
+      if (animationFrameRef.current !== null) {
+        cancelAnimationFrame(animationFrameRef.current);
+      }
+    };
+  }, [isComplete, maxProgress]);
+
+  return { progress, isAnimationDone };
+}

docs/integrations/README.md

@@ -62,7 +62,6 @@ Below is a comprehensive list of all available blocks, categorized by their prim
 | [Get Store Agent Details](block-integrations/system/store_operations.md#get-store-agent-details) | Get detailed information about an agent from the store |
 | [Get Weather Information](block-integrations/basic.md#get-weather-information) | Retrieves weather information for a specified location using OpenWeatherMap API |
 | [Human In The Loop](block-integrations/basic.md#human-in-the-loop) | Pause execution and wait for human approval or modification of data |
-| [Linear Search Issues](block-integrations/linear/issues.md#linear-search-issues) | Searches for issues on Linear |
 | [List Is Empty](block-integrations/basic.md#list-is-empty) | Checks if a list is empty |
 | [List Library Agents](block-integrations/system/library_operations.md#list-library-agents) | List all agents in your personal library |
 | [Note](block-integrations/basic.md#note) | A visual annotation block that displays a sticky note in the workflow editor for documentation and organization purposes |
@@ -571,6 +570,7 @@ Below is a comprehensive list of all available blocks, categorized by their prim
 | [Linear Create Comment](block-integrations/linear/comment.md#linear-create-comment) | Creates a new comment on a Linear issue |
 | [Linear Create Issue](block-integrations/linear/issues.md#linear-create-issue) | Creates a new issue on Linear |
 | [Linear Get Project Issues](block-integrations/linear/issues.md#linear-get-project-issues) | Gets issues from a Linear project filtered by status and assignee |
+| [Linear Search Issues](block-integrations/linear/issues.md#linear-search-issues) | Searches for issues on Linear |
 | [Linear Search Projects](block-integrations/linear/projects.md#linear-search-projects) | Searches for projects on Linear |
 
 ## Hardware

docs/integrations/block-integrations/linear/issues.md

@@ -90,9 +90,9 @@ Searches for issues on Linear
 
 ### How it works
 <!-- MANUAL: how_it_works -->
-This block searches for issues in Linear using a text query. It searches across issue titles, descriptions, and other fields to find matching issues.
+This block searches for issues in Linear using a text query. It searches across issue titles, descriptions, and other fields to find matching issues. You can limit the number of results returned using the `max_results` parameter (default: 10, max: 100) to control token consumption and response size.
 
-Returns a list of issues matching the search term.
+Optionally filter results by team name to narrow searches to specific workspaces. If a team name is provided, the block resolves it to a team ID before searching. Returns matching issues with their state, creation date, project, and assignee information. If the search or team resolution fails, an error message is returned.
 <!-- END MANUAL -->
 
 ### Inputs
@@ -100,12 +100,14 @@ Returns a list of issues matching the search term.
 | Input | Description | Type | Required |
 |-------|-------------|------|----------|
 | term | Term to search for issues | str | Yes |
+| max_results | Maximum number of results to return | int | No |
+| team_name | Optional team name to filter results (e.g., 'Internal', 'Open Source') | str | No |
 
 ### Outputs
 
 | Output | Description | Type |
 |--------|-------------|------|
-| error | Error message if the operation failed | str |
+| error | Error message if the search failed | str |
 | issues | List of issues | List[Issue] |
 
 ### Possible use case