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https://github.com/memohai/Memoh.git
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33f39c20ff
Allow users to select a different model and reasoning effort level directly from the chat input toolbar, overriding the bot defaults on a per-message basis. The backend accepts optional model_id and reasoning_effort parameters via both WebSocket and HTTP APIs, with request-level values taking priority over bot/session settings. - Backend: extend wsClientMessage and LocalChannelMessageRequest with model_id/reasoning_effort fields; add ReasoningEffort to ChatRequest; update resolver to prioritize request-level reasoning effort - Frontend: add ModelOptions and ReasoningEffortSelect shared components; refactor model-select to reuse ModelOptions; add model/reasoning selectors to chat input toolbar; initialize from bot settings - Regenerate swagger spec and TypeScript SDK
269 lines
8.7 KiB
Go
269 lines
8.7 KiB
Go
// Package conversation defines conversation domain types and rules.
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package conversation
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import (
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"encoding/json"
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"strings"
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"time"
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)
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// Conversation kind constants.
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const (
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KindDirect = "direct"
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KindGroup = "group"
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KindThread = "thread"
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)
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// Participant role constants.
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const (
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RoleOwner = "owner"
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RoleAdmin = "admin"
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RoleMember = "member"
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)
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// Conversation list access mode constants.
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const (
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AccessModeParticipant = "participant"
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AccessModeChannelIdentityObserved = "channel_identity_observed"
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)
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// Conversation is the first-class conversation container.
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type Conversation struct {
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ID string `json:"id"`
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BotID string `json:"bot_id"`
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Kind string `json:"kind"`
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ParentChatID string `json:"parent_chat_id,omitempty"`
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Title string `json:"title,omitempty"`
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CreatedBy string `json:"created_by"`
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Metadata map[string]any `json:"metadata,omitempty"`
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CreatedAt time.Time `json:"created_at"`
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UpdatedAt time.Time `json:"updated_at"`
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}
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// ConversationListItem is a conversation entry with access context for list rendering.
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type ConversationListItem struct {
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ID string `json:"id"`
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BotID string `json:"bot_id"`
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Kind string `json:"kind"`
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ParentChatID string `json:"parent_chat_id,omitempty"`
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Title string `json:"title,omitempty"`
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CreatedBy string `json:"created_by"`
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Metadata map[string]any `json:"metadata,omitempty"`
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CreatedAt time.Time `json:"created_at"`
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UpdatedAt time.Time `json:"updated_at"`
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AccessMode string `json:"access_mode"`
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ParticipantRole string `json:"participant_role,omitempty"`
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LastObservedAt *time.Time `json:"last_observed_at,omitempty"`
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}
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// ConversationReadAccess is the resolved access context for reading conversation content.
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type ConversationReadAccess struct {
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AccessMode string
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ParticipantRole string
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LastObservedAt *time.Time
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}
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// Participant represents a chat member.
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type Participant struct {
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ChatID string `json:"chat_id"`
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UserID string `json:"user_id"`
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Role string `json:"role"`
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JoinedAt time.Time `json:"joined_at"`
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}
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// Settings holds per-chat configuration.
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type Settings struct {
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ChatID string `json:"chat_id"`
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ModelID string `json:"model_id,omitempty"`
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}
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// CreateRequest is the input for creating a bot-scoped conversation container.
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type CreateRequest struct {
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Kind string `json:"kind"`
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Title string `json:"title,omitempty"`
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ParentChatID string `json:"parent_chat_id,omitempty"`
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Metadata map[string]any `json:"metadata,omitempty"`
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}
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// UpdateSettingsRequest is the input for updating chat settings.
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type UpdateSettingsRequest struct {
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ModelID *string `json:"model_id,omitempty"`
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}
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// ModelMessage is the canonical message format exchanged with the agent gateway.
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// Aligned with Vercel AI SDK ModelMessage structure.
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type ModelMessage struct {
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Role string `json:"role"`
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Content json.RawMessage `json:"content,omitempty"`
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Usage json.RawMessage `json:"-"`
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ToolCalls []ToolCall `json:"tool_calls,omitempty"`
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ToolCallID string `json:"tool_call_id,omitempty"`
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Name string `json:"name,omitempty"`
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}
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// TextContent extracts the plain text from the message content.
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// If content is a string, it returns it directly.
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// If content is an array of parts, it joins all text-type parts.
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func (m ModelMessage) TextContent() string {
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if len(m.Content) == 0 {
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return ""
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}
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var s string
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if err := json.Unmarshal(m.Content, &s); err == nil {
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return s
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}
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var parts []ContentPart
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if err := json.Unmarshal(m.Content, &parts); err == nil {
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texts := make([]string, 0, len(parts))
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for _, p := range parts {
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// Ignore Reasoning parts
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if p.Type == "reasoning" {
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continue
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}
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if strings.TrimSpace(p.Text) != "" {
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texts = append(texts, p.Text)
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}
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}
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return strings.Join(texts, "\n")
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}
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return ""
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}
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// ContentParts parses the content as an array of ContentPart.
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// Returns nil if the content is a plain string or not parseable.
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func (m ModelMessage) ContentParts() []ContentPart {
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if len(m.Content) == 0 {
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return nil
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}
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var parts []ContentPart
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if err := json.Unmarshal(m.Content, &parts); err != nil {
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return nil
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}
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return parts
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}
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// HasContent reports whether the message carries non-empty content or tool calls.
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func (m ModelMessage) HasContent() bool {
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if strings.TrimSpace(m.TextContent()) != "" {
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return true
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}
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if len(m.ContentParts()) > 0 {
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return true
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}
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return len(m.ToolCalls) > 0
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}
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// NewTextContent creates a json.RawMessage from a plain string.
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func NewTextContent(text string) json.RawMessage {
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data, err := json.Marshal(text)
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if err != nil {
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return nil
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}
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return data
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}
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// ContentPart represents one element of a multi-part message content.
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type ContentPart struct {
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Type string `json:"type"`
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Text string `json:"text,omitempty"`
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URL string `json:"url,omitempty"`
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Styles []string `json:"styles,omitempty"`
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Language string `json:"language,omitempty"`
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ChannelIdentityID string `json:"channel_identity_id,omitempty"`
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Emoji string `json:"emoji,omitempty"`
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Metadata map[string]any `json:"metadata,omitempty"`
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}
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// HasValue reports whether the content part carries a meaningful value.
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func (p ContentPart) HasValue() bool {
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return strings.TrimSpace(p.Text) != "" ||
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strings.TrimSpace(p.URL) != "" ||
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strings.TrimSpace(p.Emoji) != ""
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}
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// ToolCall represents a function/tool invocation in an assistant message.
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type ToolCall struct {
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ID string `json:"id,omitempty"`
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Type string `json:"type"`
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Function ToolCallFunction `json:"function"`
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}
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// ToolCallFunction holds the name and serialized arguments of a tool call.
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type ToolCallFunction struct {
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Name string `json:"name"`
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Arguments string `json:"arguments"`
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}
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// ChatAttachment is a media attachment carried in a chat request.
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type ChatAttachment struct {
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Type string `json:"type"`
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Base64 string `json:"base64,omitempty"`
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Path string `json:"path,omitempty"`
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URL string `json:"url,omitempty"`
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PlatformKey string `json:"platform_key,omitempty"`
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ContentHash string `json:"content_hash,omitempty"`
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Name string `json:"name,omitempty"`
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Mime string `json:"mime,omitempty"`
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Size int64 `json:"size,omitempty"`
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Metadata map[string]any `json:"metadata,omitempty"`
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}
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// OutboundAssetRef carries an asset reference accumulated during outbound streaming.
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type OutboundAssetRef struct {
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ContentHash string
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Role string
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Ordinal int
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Mime string
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SizeBytes int64
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StorageKey string
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Name string
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Metadata map[string]any
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}
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// ChatRequest is the input for Chat and StreamChat.
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type ChatRequest struct {
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BotID string `json:"-"`
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ChatID string `json:"-"`
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SessionID string `json:"-"`
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Token string `json:"-"`
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UserID string `json:"-"`
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SourceChannelIdentityID string `json:"-"`
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DisplayName string `json:"-"`
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RouteID string `json:"-"`
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ChatToken string `json:"-"`
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ExternalMessageID string `json:"-"`
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ReplyTarget string `json:"-"`
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ConversationType string `json:"-"`
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ConversationName string `json:"-"`
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UserMessagePersisted bool `json:"-"`
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// OutboundAssetCollector returns asset refs accumulated during outbound streaming.
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// Set by the inbound channel processor; called by the resolver at persist time.
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OutboundAssetCollector func() []OutboundAssetRef `json:"-"`
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Query string `json:"query"`
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Model string `json:"model,omitempty"`
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Provider string `json:"provider,omitempty"`
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ReasoningEffort string `json:"reasoning_effort,omitempty"`
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Channels []string `json:"channels,omitempty"`
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CurrentChannel string `json:"current_channel,omitempty"`
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Messages []ModelMessage `json:"messages,omitempty"`
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Attachments []ChatAttachment `json:"attachments,omitempty"`
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}
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// ChatResponse is the output of a non-streaming chat call.
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type ChatResponse struct {
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Messages []ModelMessage `json:"messages"`
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Model string `json:"model,omitempty"`
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Provider string `json:"provider,omitempty"`
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}
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// StreamChunk is a raw JSON chunk from the streaming response.
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type StreamChunk = json.RawMessage
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// AssistantOutput holds extracted assistant content for downstream consumers.
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type AssistantOutput struct {
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Content string
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Parts []ContentPart
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}
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