feat: add multimodal image support for vision-capable LLMs

Enable channels (e.g. Telegram) to pass user-attached images through
to vision-capable LLMs. Previously, downloaded images were stored locally
but never forwarded to the provider — the media pipeline was broken at
the agent layer.

Changes:
- Add ImageURL type and ContentParts field to protocoltypes.Message
- New providers/media.go: LoadMediaAsContentParts converts local files
  to base64 data URLs (supports jpg/png/gif/webp, ≤5MB per image)
- Agent loop resolves media:// refs to local paths and passes them
  through processOptions to BuildMessages
- BuildMessages attaches ContentParts (text + image_url blocks) when
  media is present, preserving pure-text behavior when absent
- OpenAI compat: Content field becomes `any` (string or []contentPart)
  following the OpenAI Vision API spec
- Anthropic: ContentParts mapped to NewImageBlockBase64 via parseDataURL

Backward compatible — no existing behavior changes when no media is
attached. The Content (string) field is always preserved as fallback.

pkg/agent/context.go

@@ -466,10 +466,24 @@ func (cb *ContextBuilder) BuildMessages(
 
 	// Add current user message
 	if strings.TrimSpace(currentMessage) != "" {
-		messages = append(messages, providers.Message{
+		userMsg := providers.Message{
 			Role:    "user",
 			Content: currentMessage,
-		})
+		}
+
+		// Attach image content parts for multimodal messages
+		if len(media) > 0 {
+			imageParts := providers.LoadMediaAsContentParts(media)
+			if len(imageParts) > 0 {
+				// Build ContentParts: text block first, then image blocks
+				userMsg.ContentParts = append(
+					[]providers.ContentBlock{{Type: "text", Text: currentMessage}},
+					imageParts...,
+				)
+			}
+		}
+
+		messages = append(messages, userMsg)
 	}
 
 	return messages

pkg/agent/loop.go

@@ -47,14 +47,15 @@ type AgentLoop struct {
 
 // processOptions configures how a message is processed
 type processOptions struct {
-	SessionKey      string // Session identifier for history/context
-	Channel         string // Target channel for tool execution
-	ChatID          string // Target chat ID for tool execution
-	UserMessage     string // User message content (may include prefix)
-	DefaultResponse string // Response when LLM returns empty
-	EnableSummary   bool   // Whether to trigger summarization
-	SendResponse    bool   // Whether to send response via bus
-	NoHistory       bool   // If true, don't load session history (for heartbeat)
+	SessionKey      string   // Session identifier for history/context
+	Channel         string   // Target channel for tool execution
+	ChatID          string   // Target chat ID for tool execution
+	UserMessage     string   // User message content (may include prefix)
+	Media           []string // Local file paths for attached images
+	DefaultResponse string   // Response when LLM returns empty
+	EnableSummary   bool     // Whether to trigger summarization
+	SendResponse    bool     // Whether to send response via bus
+	NoHistory       bool     // If true, don't load session history (for heartbeat)
 }
 
 const defaultResponse = "I've completed processing but have no response to give. Increase `max_tool_iterations` in config.json."
@@ -492,11 +493,27 @@ func (al *AgentLoop) processMessage(ctx context.Context, msg bus.InboundMessage)
 			"matched_by":  route.MatchedBy,
 		})
 
+	// Resolve media refs to local file paths for multimodal support
+	var mediaPaths []string
+	if len(msg.Media) > 0 && al.mediaStore != nil {
+		for _, ref := range msg.Media {
+			if localPath, err := al.mediaStore.Resolve(ref); err == nil {
+				mediaPaths = append(mediaPaths, localPath)
+			} else {
+				logger.WarnCF("agent", "Failed to resolve media ref", map[string]any{
+					"ref":   ref,
+					"error": err.Error(),
+				})
+			}
+		}
+	}
+
 	return al.runAgentLoop(ctx, agent, processOptions{
 		SessionKey:      sessionKey,
 		Channel:         msg.Channel,
 		ChatID:          msg.ChatID,
 		UserMessage:     msg.Content,
+		Media:           mediaPaths,
 		DefaultResponse: defaultResponse,
 		EnableSummary:   true,
 		SendResponse:    false,
@@ -603,7 +620,7 @@ func (al *AgentLoop) runAgentLoop(
 		history,
 		summary,
 		opts.UserMessage,
-		nil,
+		opts.Media,
 		opts.Channel,
 		opts.ChatID,
 	)

pkg/providers/anthropic/provider.go

@@ -132,6 +132,24 @@ func buildParams(
 				anthropicMessages = append(anthropicMessages,
 					anthropic.NewUserMessage(anthropic.NewToolResultBlock(msg.ToolCallID, msg.Content, false)),
 				)
+			} else if len(msg.ContentParts) > 0 {
+				// Multimodal message with text + images
+				var blocks []anthropic.ContentBlockParamUnion
+				for _, part := range msg.ContentParts {
+					switch part.Type {
+					case "text":
+						blocks = append(blocks, anthropic.NewTextBlock(part.Text))
+					case "image_url":
+						if part.ImageURL != nil {
+							if mediaType, b64Data, ok := parseDataURL(part.ImageURL.URL); ok {
+								blocks = append(blocks, anthropic.NewImageBlockBase64(mediaType, b64Data))
+							}
+						}
+					}
+				}
+				if len(blocks) > 0 {
+					anthropicMessages = append(anthropicMessages, anthropic.NewUserMessage(blocks...))
+				}
 			} else {
 				anthropicMessages = append(anthropicMessages,
 					anthropic.NewUserMessage(anthropic.NewTextBlock(msg.Content)),
@@ -273,3 +291,24 @@ func normalizeBaseURL(apiBase string) string {
 
 	return base
 }
+
+// parseDataURL extracts the media type and base64 data from a data URL.
+// Expected format: "data:<mediaType>;base64,<data>"
+// Returns (mediaType, base64Data, ok).
+func parseDataURL(url string) (string, string, bool) {
+	if !strings.HasPrefix(url, "data:") {
+		return "", "", false
+	}
+	// Strip "data:" prefix
+	rest := url[5:]
+	semicolon := strings.Index(rest, ";base64,")
+	if semicolon < 0 {
+		return "", "", false
+	}
+	mediaType := rest[:semicolon]
+	b64Data := rest[semicolon+8:] // len(";base64,") == 8
+	if mediaType == "" || b64Data == "" {
+		return "", "", false
+	}
+	return mediaType, b64Data, true
+}

pkg/providers/media.go

@@ -0,0 +1,87 @@
+package providers
+
+import (
+	"encoding/base64"
+	"fmt"
+	"os"
+	"path/filepath"
+	"strings"
+
+	"github.com/sipeed/picoclaw/pkg/logger"
+	"github.com/sipeed/picoclaw/pkg/providers/protocoltypes"
+)
+
+// maxImageFileSize is the maximum raw file size for inline base64 images (5 MB).
+const maxImageFileSize = 5 * 1024 * 1024
+
+// supportedImageExts maps lowercase file extensions to MIME types.
+var supportedImageExts = map[string]string{
+	".jpg":  "image/jpeg",
+	".jpeg": "image/jpeg",
+	".png":  "image/png",
+	".gif":  "image/gif",
+	".webp": "image/webp",
+}
+
+// LoadMediaAsContentParts converts a list of local file paths (or URLs)
+// into ContentBlock slices suitable for multimodal LLM requests.
+//
+// - Local files are read, base64-encoded, and wrapped in a data URL.
+// - http(s) URLs are passed through as image_url blocks directly.
+// - Non-image files and files exceeding maxImageFileSize are skipped.
+func LoadMediaAsContentParts(paths []string) []protocoltypes.ContentBlock {
+	var parts []protocoltypes.ContentBlock
+
+	for _, p := range paths {
+		// HTTP(S) URL — pass through
+		if strings.HasPrefix(p, "http://") || strings.HasPrefix(p, "https://") {
+			parts = append(parts, protocoltypes.ContentBlock{
+				Type:     "image_url",
+				ImageURL: &protocoltypes.ImageURL{URL: p},
+			})
+			continue
+		}
+
+		// Local file
+		ext := strings.ToLower(filepath.Ext(p))
+		mimeType, ok := supportedImageExts[ext]
+		if !ok {
+			logger.DebugCF("media", "Skipping non-image file", map[string]any{"path": p, "ext": ext})
+			continue
+		}
+
+		info, err := os.Stat(p)
+		if err != nil {
+			logger.WarnCF("media", "Cannot stat media file", map[string]any{"path": p, "error": err.Error()})
+			continue
+		}
+		if info.Size() > maxImageFileSize {
+			logger.WarnCF("media", "Skipping oversized image", map[string]any{
+				"path":      p,
+				"size":      info.Size(),
+				"max_bytes": maxImageFileSize,
+			})
+			continue
+		}
+
+		data, err := os.ReadFile(p)
+		if err != nil {
+			logger.WarnCF("media", "Cannot read media file", map[string]any{"path": p, "error": err.Error()})
+			continue
+		}
+
+		dataURL := fmt.Sprintf("data:%s;base64,%s", mimeType, base64.StdEncoding.EncodeToString(data))
+		parts = append(parts, protocoltypes.ContentBlock{
+			Type:     "image_url",
+			ImageURL: &protocoltypes.ImageURL{URL: dataURL},
+		})
+
+		logger.DebugCF("media", "Loaded image", map[string]any{
+			"path":      p,
+			"mime_type": mimeType,
+			"size":      info.Size(),
+		})
+	}
+
+	return parts
+}

pkg/providers/openai_compat/provider.go

@@ -285,12 +285,21 @@ func parseResponse(body []byte) (*LLMResponse, error) {
 	}, nil
 }
 
+// openaiContentPart represents a content part in the OpenAI Vision API format.
+type openaiContentPart struct {
+	Type     string                  `json:"type"`               // "text" or "image_url"
+	Text     string                  `json:"text,omitempty"`
+	ImageURL *protocoltypes.ImageURL `json:"image_url,omitempty"`
+}
+
 // openaiMessage is the wire-format message for OpenAI-compatible APIs.
-// It mirrors protocoltypes.Message but omits SystemParts, which is an
-// internal field that would be unknown to third-party endpoints.
+// It mirrors protocoltypes.Message but omits SystemParts/ContentParts,
+// which are internal fields that would be unknown to third-party endpoints.
+// Content is `any` to support both string (text-only) and []openaiContentPart
+// (multimodal) as required by the OpenAI Vision API.
 type openaiMessage struct {
 	Role             string     `json:"role"`
-	Content          string     `json:"content"`
+	Content          any        `json:"content"`
 	ReasoningContent string     `json:"reasoning_content,omitempty"`
 	ToolCalls        []ToolCall `json:"tool_calls,omitempty"`
 	ToolCallID       string     `json:"tool_call_id,omitempty"`
@@ -299,12 +308,30 @@ type openaiMessage struct {
 // stripSystemParts converts []Message to []openaiMessage, dropping the
 // SystemParts field so it doesn't leak into the JSON payload sent to
 // OpenAI-compatible APIs (some strict endpoints reject unknown fields).
+// When ContentParts is present, Content is serialized as an array of
+// content parts (OpenAI Vision API format).
 func stripSystemParts(messages []Message) []openaiMessage {
 	out := make([]openaiMessage, len(messages))
 	for i, m := range messages {
+		var content any = m.Content
+
+		// Convert multimodal ContentParts to OpenAI Vision format
+		if len(m.ContentParts) > 0 {
+			parts := make([]openaiContentPart, 0, len(m.ContentParts))
+			for _, p := range m.ContentParts {
+				switch p.Type {
+				case "text":
+					parts = append(parts, openaiContentPart{Type: "text", Text: p.Text})
+				case "image_url":
+					parts = append(parts, openaiContentPart{Type: "image_url", ImageURL: p.ImageURL})
+				}
+			}
+			content = parts
+		}
+
 		out[i] = openaiMessage{
 			Role:             m.Role,
-			Content:          m.Content,
+			Content:          content,
 			ReasoningContent: m.ReasoningContent,
 			ToolCalls:        m.ToolCalls,
 			ToolCallID:       m.ToolCallID,

pkg/providers/protocoltypes/types.go

@@ -53,18 +53,26 @@ type CacheControl struct {
 	Type string `json:"type"` // "ephemeral"
 }
 
-// ContentBlock represents a structured segment of a system message.
+// ImageURL holds a URL for an image content block.
+// The URL can be an http(s) link or a base64 data URL (e.g. "data:image/jpeg;base64,...").
+type ImageURL struct {
+	URL string `json:"url"`
+}
+
+// ContentBlock represents a structured segment of a message.
 // Adapters that understand SystemParts can use these blocks to set
 // per-block cache control (e.g. Anthropic's cache_control: ephemeral).
 type ContentBlock struct {
-	Type         string        `json:"type"` // "text"
-	Text         string        `json:"text"`
+	Type         string        `json:"type"` // "text" or "image_url"
+	Text         string        `json:"text,omitempty"`
+	ImageURL     *ImageURL     `json:"image_url,omitempty"`
 	CacheControl *CacheControl `json:"cache_control,omitempty"`
 }
 
 type Message struct {
 	Role             string         `json:"role"`
 	Content          string         `json:"content"`
+	ContentParts     []ContentBlock `json:"content_parts,omitempty"` // multimodal content (text + images)
 	ReasoningContent string         `json:"reasoning_content,omitempty"`
 	SystemParts      []ContentBlock `json:"system_parts,omitempty"` // structured system blocks for cache-aware adapters
 	ToolCalls        []ToolCall     `json:"tool_calls,omitempty"`