agent-98 面板批次:
- 会话管理面板改接 history.ListSessions(主web+次级) + 新建次级会话按钮
- 记忆面板手动添加入口 POST /admin/memories(owner)
- 知识库真正实现 IndexDocument(分块+落projectindex) + POST /admin/rag 导入端点
- 三面板空态诚实表述(去除'后端M10+提供')
- RAG嵌入降级到keyword/line(无直属embedder,不伪造语义,符合红线)
agent-99 design/16 §4.6:
- model.Message.SenderName + 迁移0006 sender_name 列
- 第三方身份边界: session.ResolveActor判定(非LLM猜) + [第三方·昵称]前缀(不改源content)
- 群聊/陌生人落独立sess-xxx(persistIsolated),不写主会话,不广播
- 黑/白名单(allowGroups/denyGroups/allowUsers/denyUsers)最前拦截,不进LLM
- 多账号 CHANNELS_JSON 配置 + 每平台多实例
- 管理只读 GET /admin/channels/{platform}/messages(该平台非主人消息流)
实机验证(JWT): 会话管理返回主会话web / 记忆添加成功 / RAG导入documents非空+Cyrene命中; 后端build/vet/test全绿 + 前端build绿
165 lines
6.2 KiB
Go
165 lines
6.2 KiB
Go
// Package model provides a vendor-agnostic LLM adapter layer for Cyrene v2.
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//
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// It defines a normalized Message/Request/Response vocabulary, a single
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// Adapter interface implemented by OpenAIChatAdapter (which speaks the
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// OpenAI-compatible /chat/completions protocol used by OpenAI, DashScope/百炼,
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// local gateways and proxies), a per-role Router, an automatic fallback Chain,
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// multimodal (vision) detection, and per-call CallRecord accounting.
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//
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// The full tool loop (schema registration, argument binding, result re-feed) is
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// deferred to M2; this package only carries interface-level placeholders
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// (ToolSpec) so the wire contract is ready without executing any loop.
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package model
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import "time"
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// Role identifies who authored a message. The values are vendor-agnostic and
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// translated to each provider's own role vocabulary by the adapter.
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type Role string
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const (
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// RoleSystem is a system/instruction message.
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RoleSystem Role = "system"
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// RoleUser is an end-user message.
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RoleUser Role = "user"
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// RoleAssistant is an assistant (model) message.
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RoleAssistant Role = "assistant"
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// RoleTool is a tool-result message (reserved for the M2 tool loop).
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RoleTool Role = "tool"
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)
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// ContentType describes the kind of payload inside a Content part.
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type ContentType string
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const (
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// ContentTypeText is a plain-text content part.
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ContentTypeText ContentType = "text"
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// ContentTypeImage is an image content part.
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ContentTypeImage ContentType = "image_url"
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)
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// Content is a single, possibly multimodal, part of a message.
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type Content struct {
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// Type distinguishes a text part from an image part.
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Type ContentType
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// Text is the text payload when Type == ContentTypeText.
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Text string
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// ImageURL is the image source when Type == ContentTypeImage. It may be a
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// data: URI or an http(s):// URL.
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ImageURL string
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}
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// Message is a single conversation turn, normalized across providers.
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type Message struct {
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Role Role
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// Content carries one or more parts. A text-only message uses a single
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// ContentTypeText part.
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Content []Content
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// SenderName is the human-readable display name of the message's sender
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// (design/16 §4.6). It is transport metadata used by the context-assembly
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// layer to label third-party messages for the model (e.g. "[第三方 · 昵称]"),
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// never a substitute for the strongly typed sender identity carried on the
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// channel layer. Empty means the sender is unlabeled (the owner, or an
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// unknown/unresolved sender), and callers may leave it unset.
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SenderName string
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// ToolCallID and ToolCallName are reserved as interface-level placeholders
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// for the M2 tool loop; they are ignored by current adapters.
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ToolCallID string
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ToolCallName string
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}
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// TextMessage builds a text-only message.
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func TextMessage(role Role, text string) Message {
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return Message{Role: role, Content: []Content{{Type: ContentTypeText, Text: text}}}
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}
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// ImageMessage builds a message carrying optional text plus an image. imageURL
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// may be a data: URI or an http(s):// URL. An empty text omits the text part.
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func ImageMessage(role Role, text, imageURL string) Message {
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parts := make([]Content, 0, 2)
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if text != "" {
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parts = append(parts, Content{Type: ContentTypeText, Text: text})
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}
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parts = append(parts, Content{Type: ContentTypeImage, ImageURL: imageURL})
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return Message{Role: role, Content: parts}
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}
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// ToolSpec is an interface-level placeholder for a tool/function schema. The
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// full tool loop (registration, argument binding, result re-feed) is M2; here
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// it only lets a request advertise tools to the provider in the wire contract.
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type ToolSpec struct {
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Name string
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Description string
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// Parameters is the JSON Schema for the tool arguments. Populated from M2.
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Parameters any
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}
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// ToolCall is a single assistant-originated tool invocation parsed from a
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// provider's tool_use content block. Args is the structured argument object
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// (never a serialized JSON string), so a tool loop can bind it directly without
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// re-parsing.
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type ToolCall struct {
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// Name is the tool being invoked.
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Name string
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// Args are the tool arguments, decoded from the provider's structured
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// tool_use.input object. It is never a JSON-encoded string.
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Args map[string]any
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}
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// Request is a completion request, normalized across providers.
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type Request struct {
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// Model overrides the adapter's configured default model. Empty means the
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// adapter default (or the chain step model) applies.
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Model string
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Messages []Message
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// Temperature is the sampling temperature. nil means the provider default.
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Temperature *float64
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// MaxTokens caps the generated tokens. Zero means the provider default.
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MaxTokens int
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// Purpose labels the call for CallRecord accounting (e.g. "chat").
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Purpose string
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// Tools is the interface-level placeholder for M2 function calling.
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Tools []ToolSpec
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// ToolChoice optionally directs how the provider selects a tool. It is an
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// opaque provider-agnostic directive (e.g. {"type":"auto"} or {"type":"tool",
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// "name":"x"}); empty means the provider default. Passed through verbatim to
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// protocols that support it (Anthropic's tool_choice).
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ToolChoice any
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}
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// Response is a normalized completion result.
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type Response struct {
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// Model is the model that produced the response.
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Model string
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Content string
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// Message is the normalized assistant message.
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Message Message
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// ToolCalls carries any tool_use blocks the assistant emitted. Empty when the
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// response is pure text.
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ToolCalls []ToolCall
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// PromptTokens, CompletionTokens and TotalTokens report provider usage when
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// available; zero when the provider does not return it.
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PromptTokens int
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CompletionTokens int
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TotalTokens int
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}
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// CallRecord describes a single successfully completed LLM call, for the M9
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// monitor/frontend. A failed attempt emits no record.
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type CallRecord struct {
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// Model is the model that served the request.
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Model string
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// Purpose labels what the call was for.
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Purpose string
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// Tokens is the total token consumption reported by the provider.
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Tokens int
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// TookMs is the end-to-end call latency in milliseconds.
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TookMs int64
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}
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// Options carries per-call knobs layered on top of the Request.
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type Options struct {
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// Timeout bounds a single HTTP call. Zero uses the adapter client timeout.
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Timeout time.Duration
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}
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