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This commit is contained in:
yawan
2026-09-22 16:19:06 +08:00
commit f7fc992f57
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package chat
import (
"context"
"encoding/json"
"fmt"
"strings"
"github.com/Tencent/WeKnora/internal/models/provider"
"github.com/Tencent/WeKnora/internal/models/utils/ollama"
"github.com/Tencent/WeKnora/internal/types"
)
// Tool represents a function/tool definition
type Tool struct {
Type string `json:"type"` // "function"
Function FunctionDef `json:"function"`
}
// FunctionDef represents a function definition
type FunctionDef struct {
Name string `json:"name"`
Description string `json:"description"`
Parameters json.RawMessage `json:"parameters"`
}
// ChatOptions 聊天选项
type ChatOptions struct {
Temperature float64 `json:"temperature"` // 温度参数
TopP float64 `json:"top_p"` // Top P 参数
Seed int `json:"seed"` // 随机种子
MaxTokens int `json:"max_tokens"` // 最大 token 数
MaxCompletionTokens int `json:"max_completion_tokens"` // 最大完成 token 数
FrequencyPenalty float64 `json:"frequency_penalty"` // 频率惩罚
PresencePenalty float64 `json:"presence_penalty"` // 存在惩罚
Thinking *bool `json:"thinking"` // 是否启用思考
Tools []Tool `json:"tools,omitempty"` // 可用工具列表
ToolChoice string `json:"tool_choice,omitempty"` // "auto", "required", "none", or specific tool
ParallelToolCalls *bool `json:"parallel_tool_calls,omitempty"` // 是否允许并行工具调用(默认 nil 表示由模型决定)
Format json.RawMessage `json:"format,omitempty"` // 响应格式定义
// PromptCacheKey is the provider routing key (OpenAI prompt_cache_key).
// Empty falls back to the session ID on the call context.
PromptCacheKey string `json:"-"`
// CacheRetention controls provider prompt-cache TTL. none disables cache
// markers; empty/short is the default 5-minute cache; long requests 1h/24h
// where the provider accepts it.
CacheRetention CacheRetention `json:"-"`
}
// MessageContentPart represents a part of multi-content message
type MessageContentPart struct {
Type string `json:"type"` // "text" or "image_url"
Text string `json:"text,omitempty"` // For type="text"
ImageURL *ImageURL `json:"image_url,omitempty"` // For type="image_url"
}
// ImageURL represents the image URL structure
type ImageURL struct {
URL string `json:"url"` // URL or base64 data URI
Detail string `json:"detail,omitempty"` // "auto", "low", "high"
}
// MessageKind marks messages the engine synthesized rather than received from
// the user or the model. Compaction needs to tell its own summary apart from a
// real user turn: a summary that looks like ordinary history gets fed back into
// the next summarization pass and degrades into a summary of a summary.
type MessageKind string
// MessageKindCompactionSummary marks the message that replaces compacted
// history. It carries the `user` role because that is where providers expect
// conversation history, so the role alone cannot identify it.
const MessageKindCompactionSummary MessageKind = "compaction_summary"
// Message 表示聊天消息
type Message struct {
Role string `json:"role"` // 角色:system, user, assistant, tool
Content string `json:"content"` // 消息内容
MultiContent []MessageContentPart `json:"multi_content,omitempty"` // 多内容消息(文本+图片)
Name string `json:"name,omitempty"` // Function/tool name (for tool role)
ToolCallID string `json:"tool_call_id,omitempty"` // Tool call ID (for tool role)
ToolCalls []ToolCall `json:"tool_calls,omitempty"` // Tool calls (for assistant role)
Images []string `json:"images,omitempty"` // Image URLs for multimodal (only for current user message)
// ReasoningContent 是 assistant 推理类模型(DeepSeek thinking、小米 MiMo、vLLM reasoning 等)
// 上一轮输出的思考内容。部分供应商(MiMo、DeepSeek V3.2/V4 thinking 模式)要求多轮对话中
// 把 assistant 的 reasoning_content 原样回传,否则会以 400 拒绝请求;其他不要求的供应商
// 会忽略未知字段,无副作用。
ReasoningContent string `json:"reasoning_content,omitempty"`
// Kind is engine-internal bookkeeping. `json:"-"` keeps it off the wire:
// providers reject unknown message fields on some endpoints, and this one
// means nothing to them anyway.
Kind MessageKind `json:"-"`
}
// ToolCall represents a tool call in a message
type ToolCall struct {
ID string `json:"id"`
Type string `json:"type"` // "function"
Function FunctionCall `json:"function"`
ProviderMetadata types.ToolCallMetadata `json:"provider_metadata,omitempty"`
}
// FunctionCall represents a function call
type FunctionCall struct {
Name string `json:"name"`
Arguments string `json:"arguments"` // JSON string
}
// Chat 定义了聊天接口
type Chat interface {
// Chat 进行非流式聊天
Chat(ctx context.Context, messages []Message, opts *ChatOptions) (*types.ChatResponse, error)
// ChatStream 进行流式聊天
ChatStream(ctx context.Context, messages []Message, opts *ChatOptions) (<-chan types.StreamResponse, error)
// GetModelName 获取模型名称
GetModelName() string
// GetModelID 获取模型ID
GetModelID() string
}
type ChatConfig struct {
Source types.ModelSource
BaseURL string
ModelName string
APIKey string
ModelID string
Provider string
// MaxConcurrency caps concurrent background calls to this model; 0 falls
// back to the process-wide default (see limiter.GateN).
MaxConcurrency int
ExtraConfig map[string]string
// CustomHeaders 允许在调用远程 OpenAI 兼容 API 时附加自定义 HTTP 请求头(类似 OpenAI Python SDK 的 extra_headers)。
CustomHeaders map[string]string
AppID string
AppSecret string // 加密值,由工厂函数调用方传入,在 NewWeKnoraCloudChat 中使用前已解密
}
// ConfigFromModel 根据 types.Model 构造 ChatConfig。
// 保证生产路径(service 层根据 DB 中的模型配置拉起实例)和测试路径
// (handler 层根据前端表单临时拉起实例)走完全相同的字段映射,避免重复样板。
// appID / appSecret 是已经解密/解析好的 WeKnoraCloud 凭证,调用方负责传入。
func ConfigFromModel(m *types.Model, appID, appSecret string) *ChatConfig {
if m == nil {
return nil
}
return &ChatConfig{
ModelID: m.ID,
APIKey: m.Parameters.APIKey,
BaseURL: m.Parameters.BaseURL,
ModelName: m.Name,
Source: m.Source,
Provider: m.Parameters.Provider,
MaxConcurrency: m.Parameters.MaxConcurrency,
ExtraConfig: m.Parameters.ExtraConfig,
CustomHeaders: m.Parameters.CustomHeaders,
AppID: appID,
AppSecret: appSecret,
}
}
// NewChat 创建聊天实例
func NewChat(config *ChatConfig, ollamaService *ollama.OllamaService) (Chat, error) {
var c Chat
var err error
switch strings.ToLower(string(config.Source)) {
case string(types.ModelSourceLocal):
c, err = NewOllamaChat(config, ollamaService)
case string(types.ModelSourceRemote):
c, err = NewRemoteChat(config)
default:
return nil, fmt.Errorf("unsupported chat model source: %s", config.Source)
}
c, err = wrapChatRequestBudget(c, err)
c, err = wrapChatDebug(c, err)
c, err = wrapChatLangfuse(c, err)
// Outermost: hold the per-model concurrency slot only around the real
// provider round-trip, so the wait is excluded from debug/langfuse timing.
return wrapChatConcurrency(c, config.MaxConcurrency, err)
}
// NewRemoteChat 根据 provider 创建远程聊天实例。
// Anthropic 走独立的 Messages 协议实现;其余 OpenAI 兼容供应商统一由
// RemoteAPIChat 处理,provider 特定行为在构造时通过 providerAdapter 解析。
func NewRemoteChat(config *ChatConfig) (Chat, error) {
providerName := provider.ProviderName(config.Provider)
if providerName == "" {
providerName = provider.DetectProvider(config.BaseURL)
}
if providerName == provider.ProviderAnthropic {
return NewAnthropicChat(config)
}
return NewRemoteAPIChat(config)
}