chore: return more results to the LLM of the action that was done

Signed-off-by: mudler <mudler@localai.io>

README.md

@@ -49,10 +49,10 @@ cd LocalAGI
 docker compose up
 
 # NVIDIA GPU setup
-docker compose --profile nvidia up
+docker compose -f docker-compose.nvidia.yaml up
 
 # Intel GPU setup (for Intel Arc and integrated GPUs)
-docker compose --profile intel up
+docker compose -f docker-compose.intel.yaml up
 
 # Start with a specific model (see available models in models.localai.io, or localai.io to use any model in huggingface)
 MODEL_NAME=gemma-3-12b-it docker compose up
@@ -61,11 +61,40 @@ MODEL_NAME=gemma-3-12b-it docker compose up
 MODEL_NAME=gemma-3-12b-it \
 MULTIMODAL_MODEL=minicpm-v-2_6 \
 IMAGE_MODEL=flux.1-dev \
-docker compose --profile nvidia up
+docker compose -f docker-compose.nvidia.yaml up
 ```
 
 Now you can access and manage your agents at [http://localhost:8080](http://localhost:8080)
 
+## 📚🆕 Local Stack Family
+
+🆕 LocalAI is now part of a comprehensive suite of AI tools designed to work together:
+
+<table>
+  <tr>
+    <td width="50%" valign="top">
+      <a href="https://github.com/mudler/LocalAI">
+        <img src="https://raw.githubusercontent.com/mudler/LocalAI/refs/heads/rebranding/core/http/static/logo_horizontal.png" width="300" alt="LocalAI Logo">
+      </a>
+    </td>
+    <td width="50%" valign="top">
+      <h3><a href="https://github.com/mudler/LocalRecall">LocalAI</a></h3>
+      <p>LocalAI is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that's compatible with OpenAI API specifications for local AI inferencing. Does not require GPU.</p>
+    </td>
+  </tr>
+  <tr>
+    <td width="50%" valign="top">
+      <a href="https://github.com/mudler/LocalRecall">
+        <img src="https://raw.githubusercontent.com/mudler/LocalRecall/refs/heads/main/static/localrecall_horizontal.png" width="300" alt="LocalRecall Logo">
+      </a>
+    </td>
+    <td width="50%" valign="top">
+      <h3><a href="https://github.com/mudler/LocalRecall">LocalRecall</a></h3>
+      <p>A REST-ful API and knowledge base management system that provides persistent memory and storage capabilities for AI agents.</p>
+    </td>
+  </tr>
+</table>
+
 ## 🖥️ Hardware Configurations
 
 LocalAGI supports multiple hardware configurations through Docker Compose profiles:
@@ -81,7 +110,7 @@ LocalAGI supports multiple hardware configurations through Docker Compose profil
 - Uses CUDA for acceleration
 - Best for high-performance inference
 - Supports text, multimodal, and image generation models
-- Run with: `docker compose --profile nvidia up`
+- Run with: `docker compose -f docker-compose.nvidia.yaml up`
 - Default models:
   - Text: `arcee-agent`
   - Multimodal: `minicpm-v-2_6`
@@ -97,7 +126,7 @@ LocalAGI supports multiple hardware configurations through Docker Compose profil
 - Uses SYCL for acceleration
 - Best for Intel-based systems
 - Supports text, multimodal, and image generation models
-- Run with: `docker compose --profile intel up`
+- Run with: `docker compose -f docker-compose.intel.yaml up`
 - Default models:
   - Text: `arcee-agent`
   - Multimodal: `minicpm-v-2_6`
@@ -120,13 +149,13 @@ MODEL_NAME=gemma-3-12b-it docker compose up
 MODEL_NAME=gemma-3-12b-it \
 MULTIMODAL_MODEL=minicpm-v-2_6 \
 IMAGE_MODEL=flux.1-dev \
-docker compose --profile nvidia up
+docker compose -f docker-compose.nvidia.yaml up
 
 # Intel GPU with custom models
 MODEL_NAME=gemma-3-12b-it \
 MULTIMODAL_MODEL=minicpm-v-2_6 \
 IMAGE_MODEL=sd-1.5-ggml \
-docker compose --profile intel up
+docker compose -f docker-compose.intel.yaml up
 ```
 
 If no models are specified, it will use the defaults:

core/agent/agent_test.go

@@ -238,7 +238,7 @@ var _ = Describe("Agent test", func() {
 			defer agent.Stop()
 
 			result := agent.Ask(
-				types.WithText("plan a trip to San Francisco from Venice, Italy"),
+				types.WithText("Thoroughly plan a trip to San Francisco from Venice, Italy; check flight times, visa requirements and whether electrical items are allowed in cabin luggage."),
 			)
 			Expect(len(result.State)).To(BeNumerically(">", 1))
 
@@ -260,6 +260,7 @@ var _ = Describe("Agent test", func() {
 				WithLLMAPIURL(apiURL),
 				WithModel(testModel),
 				WithLLMAPIKey(apiKeyURL),
+				WithTimeout("10m"),
 				WithNewConversationSubscriber(func(m openai.ChatCompletionMessage) {
 					mu.Lock()
 					message = m
@@ -274,7 +275,7 @@ var _ = Describe("Agent test", func() {
 				EnableStandaloneJob,
 				EnableHUD,
 				WithPeriodicRuns("1s"),
-				WithPermanentGoal("use the new_conversation tool"),
+				WithPermanentGoal("use the new_conversation tool to initiate a conversation with the user"),
 				//	EnableStandaloneJob,
 				//	WithRandomIdentity(),
 			)

docker-compose.intel.yaml

@@ -0,0 +1,33 @@
+services:
+  localai:
+    extends:
+      file: docker-compose.yaml
+      service: localai
+    environment:
+      - LOCALAI_SINGLE_ACTIVE_BACKEND=true
+      - DEBUG=true
+    image: localai/localai:master-sycl-f32-ffmpeg-core
+    devices:
+      # On a system with integrated GPU and an Arc 770, this is the Arc 770
+      - /dev/dri/card1
+      - /dev/dri/renderD129
+    command: 
+    - ${MODEL_NAME:-arcee-agent}
+    - ${MULTIMODAL_MODEL:-minicpm-v-2_6}
+    - ${IMAGE_MODEL:-sd-1.5-ggml}
+    - granite-embedding-107m-multilingual
+
+  localrecall:
+    extends:
+      file: docker-compose.yaml
+      service: localrecall
+
+  localrecall-healthcheck:
+    extends:
+      file: docker-compose.yaml
+      service: localrecall-healthcheck
+
+  localagi:
+    extends:
+      file: docker-compose.yaml
+      service: localagi

docker-compose.nvidia.yaml

@@ -0,0 +1,31 @@
+services:
+  localai:
+    extends:
+      file: docker-compose.yaml
+      service: localai
+    environment:
+      - LOCALAI_SINGLE_ACTIVE_BACKEND=true
+      - DEBUG=true
+    image: localai/localai:master-sycl-f32-ffmpeg-core
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+
+  localrecall:
+    extends:
+      file: docker-compose.yaml
+      service: localrecall
+
+  localrecall-healthcheck:
+    extends:
+      file: docker-compose.yaml
+      service: localrecall-healthcheck
+
+  localagi:
+    extends:
+      file: docker-compose.yaml
+      service: localagi

docker-compose.yaml

@@ -7,8 +7,9 @@ services:
     # Image list (dockerhub): https://hub.docker.com/r/localai/localai
     image: localai/localai:master-ffmpeg-core
     command: 
-    # - gemma-3-12b-it
     - ${MODEL_NAME:-arcee-agent}
+    - ${MULTIMODAL_MODEL:-minicpm-v-2_6}
+    - ${IMAGE_MODEL:-flux.1-dev}
     - granite-embedding-107m-multilingual
     healthcheck:
       test: ["CMD", "curl", "-f", "http://localhost:8080/readyz"]
@@ -24,44 +25,6 @@ services:
       - ./volumes/models:/build/models:cached
       - ./volumes/images:/tmp/generated/images
 
-  localai-nvidia:
-    profiles: ["nvidia"]
-    extends:
-      service: localai
-    environment:
-      - LOCALAI_SINGLE_ACTIVE_BACKEND=true
-      - DEBUG=true
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
-    command: 
-    - ${MODEL_NAME:-arcee-agent}
-    - ${MULTIMODAL_MODEL:-minicpm-v-2_6}
-    - ${IMAGE_MODEL:-flux.1-dev}
-    - granite-embedding-107m-multilingual
-
-  localai-intel:
-    profiles: ["intel"]
-    environment:
-      - LOCALAI_SINGLE_ACTIVE_BACKEND=true
-      - DEBUG=true
-    extends:
-      service: localai
-    image: localai/localai:master-sycl-f32-ffmpeg-core
-    devices:
-      # On a system with integrated GPU and an Arc 770, this is the Arc 770
-      - /dev/dri/card1
-      - /dev/dri/renderD129
-    command: 
-    - ${MODEL_NAME:-arcee-agent}
-    - ${MULTIMODAL_MODEL:-minicpm-v-2_6}
-    - ${IMAGE_MODEL:-sd-1.5-ggml}
-    - granite-embedding-107m-multilingual
-
   localrecall:
     image: quay.io/mudler/localrecall:main
     ports:
@@ -97,6 +60,8 @@ services:
     #image: quay.io/mudler/localagi:master
     environment:
       - LOCALAGI_MODEL=${MODEL_NAME:-arcee-agent}
+      - LOCALAGI_MULTIMODAL_MODEL=${MULTIMODAL_MODEL:-minicpm-v-2_6}
+      - LOCALAGI_IMAGE_MODEL=${IMAGE_MODEL:-sd-1.5-ggml}
       - LOCALAGI_LLM_API_URL=http://localai:8080
       #- LOCALAGI_LLM_API_KEY=sk-1234567890
       - LOCALAGI_LOCALRAG_URL=http://localrecall:8080
@@ -106,32 +71,4 @@ services:
     extra_hosts:
       - "host.docker.internal:host-gateway"
     volumes:
-      - ./volumes/localagi/:/pool
-
-  localagi-nvidia:
-    profiles: ["nvidia"]
-    extends:
-      service: localagi
-    environment:
-      - LOCALAGI_MODEL=${MODEL_NAME:-arcee-agent}
-      - LOCALAGI_MULTIMODAL_MODEL=${MULTIMODAL_MODEL:-minicpm-v-2_6}
-      - LOCALAGI_IMAGE_MODEL=${IMAGE_MODEL:-flux.1-dev}
-      - LOCALAGI_LLM_API_URL=http://localai:8080
-      - LOCALAGI_LOCALRAG_URL=http://localrecall:8080
-      - LOCALAGI_STATE_DIR=/pool
-      - LOCALAGI_TIMEOUT=5m
-      - LOCALAGI_ENABLE_CONVERSATIONS_LOGGING=false
-
-  localagi-intel:
-    profiles: ["intel"]
-    extends:
-      service: localagi
-    environment:
-      - LOCALAGI_MODEL=${MODEL_NAME:-arcee-agent}
-      - LOCALAGI_MULTIMODAL_MODEL=${MULTIMODAL_MODEL:-minicpm-v-2_6}
-      - LOCALAGI_IMAGE_MODEL=${IMAGE_MODEL:-sd-1.5-ggml}
-      - LOCALAGI_LLM_API_URL=http://localai:8080
-      - LOCALAGI_LOCALRAG_URL=http://localrecall:8080
-      - LOCALAGI_STATE_DIR=/pool
-      - LOCALAGI_TIMEOUT=5m
-      - LOCALAGI_ENABLE_CONVERSATIONS_LOGGING=false
+      - ./volumes/localagi/:/pool

services/actions/githubprreviewer.go

@@ -128,11 +128,13 @@ func (g *GithubPRReviewer) Run(ctx context.Context, params types.ActionParams) (
 	}
 
 	actionResult := fmt.Sprintf(
-		"Pull request https://github.com/%s/%s/pull/%d reviewed successfully with status: %s",
+		"Pull request https://github.com/%s/%s/pull/%d reviewed successfully with status: %s, comments: %v, message: %s",
 		result.Owner,
 		result.Repository,
 		result.PRNumber,
 		strings.ToLower(result.ReviewAction),
+		result.Comments,
+		result.ReviewComment,
 	)
 
 	return types.ActionResult{Result: actionResult}, nil

webui/react-ui/src/pages/AgentStatus.jsx

@@ -1,13 +1,12 @@
 import { useState, useEffect } from 'react';
-import { useParams, Link, useNavigate } from 'react-router-dom';
+import { useParams, Link } from 'react-router-dom';
 
 function AgentStatus() {
   const { name } = useParams();
-  const navigate = useNavigate();
   const [statusData, setStatusData] = useState(null);
   const [loading, setLoading] = useState(true);
   const [error, setError] = useState(null);
-  const [eventSource, setEventSource] = useState(null);
+  const [_eventSource, setEventSource] = useState(null);
   const [liveUpdates, setLiveUpdates] = useState([]);
 
   // Update document title
@@ -49,7 +48,7 @@ function AgentStatus() {
         const data = JSON.parse(event.data);
         setLiveUpdates(prev => [data, ...prev.slice(0, 19)]); // Keep last 20 updates
       } catch (err) {
-        console.error('Error parsing SSE data:', err);
+        setLiveUpdates(prev => [event.data, ...prev.slice(0, 19)]);
       }
     });
 
@@ -129,23 +128,9 @@ function AgentStatus() {
                   <h2 className="text-sm font-semibold mb-2">Agent Action:</h2>
                   <div className="status-details">
                     <div className="status-row">
-                      <span className="status-label">Result:</span>
-                      <span className="status-value">{formatValue(item.Result)}</span>
+                      <span className="status-label">{index}</span>
+                      <span className="status-value">{formatValue(item)}</span>
                     </div>
-                    <div className="status-row">
-                      <span className="status-label">Action:</span>
-                      <span className="status-value">{formatValue(item.Action)}</span>
-                    </div>
-                    <div className="status-row">
-                      <span className="status-label">Parameters:</span>
-                      <span className="status-value pre-wrap">{formatValue(item.Params)}</span>
-                    </div>
-                    {item.Reasoning && (
-                      <div className="status-row">
-                        <span className="status-label">Reasoning:</span>
-                        <span className="status-value reasoning">{formatValue(item.Reasoning)}</span>
-                      </div>
-                    )}
                   </div>
                 </div>
               </div>

webui/react-ui/vite.config.js

@@ -30,6 +30,7 @@ export default defineConfig(({ mode }) => {
         '/status': backendUrl,
         '/action': backendUrl,
         '/actions': backendUrl,
+        '/avatars': backendUrl
       }
     }
   }

webui/routes.go

@@ -4,6 +4,7 @@ import (
 	"crypto/subtle"
 	"embed"
 	"errors"
+	"fmt"
 	"math/rand"
 	"net/http"
 	"path/filepath"
@@ -238,9 +239,20 @@ func (app *App) registerRoutes(pool *state.AgentPool, webapp *fiber.App) {
 			history = &state.Status{ActionResults: []types.ActionState{}}
 		}
 
+		entries := []string{}
+		for _, h := range Reverse(history.Results()) {
+			entries = append(entries, fmt.Sprintf(
+				"Result: %v Action: %v Params: %v Reasoning: %v", 
+				h.Result,
+				h.Action.Definition().Name, 
+				h.Params, 
+				h.Reasoning,
+			))
+		}
+
 		return c.JSON(fiber.Map{
 			"Name":    c.Params("name"),
-			"History": Reverse(history.Results()),
+			"History": entries,
 		})
 	})