Files
HomeAgent/internal/agent/api/provider.go
root c3816dc699 IO 抽象层增强:非文本输入支持 + waiter CLI 重写
PluginSDK:
- 添加 InjectInput / InjectInputSync / InjectInterrupt 泛型接口
- 插件现在可注入 image/audio/file 等任意类型输入

Provider:
- 添加 ContentBlock / ImageURL / AudioURL 类型
- Message 增加 Blocks 字段,Content 在非空 Blocks 时序列化为数组(多模态格式)

Agent:
- handleInput 新增 image/audio 类型分发 → processMediaInput
- processMediaInput 将媒体数据附着到对话上下文,LLM 自主决策处理策略
- 新增内置工具:describe_image / transcribe_audio / ocr_image(pendingMedia 驱动)
- 工具仅当有未处理媒体数据时注册,通过 Provider 直接调用多模态模型

Config:
- 新增 InputProcessingConfig(image/audio 处理配置)
- 含 fallback_provider / describe_prompt / ocr_enabled 等选项

Waiter CLI 重写:
- 配置文件 ~/.config/homeagent/cli.yaml(自动发现 socket)
- 原始终端行编辑 + 命令历史持久化 + 彩色输出
- 内置命令:/help /reconnect /connect /remote /local /prompt
- 断线自动重连
2026-07-04 15:01:35 +08:00

697 lines
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package api
import (
"bufio"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"sync"
"time"
luaVM "gitcode.com/JianFeeeee/HomeAgent/internal/lua"
)
// ContentBlock 定义多模态内容块,用于图片/音频等非文本输入。
type ContentBlock struct {
Type string `json:"type"`
Text string `json:"text,omitempty"`
ImageURL *ImageURL `json:"image_url,omitempty"`
AudioURL *AudioURL `json:"audio_url,omitempty"`
}
type ImageURL struct {
URL string `json:"url"`
Detail string `json:"detail,omitempty"`
}
type AudioURL struct {
URL string `json:"url"`
}
// Message 表示对话消息。当 Blocks 不为空时 content 在 JSON 中序列化为数组(多模态格式)。
type Message struct {
Role string `json:"role"`
Content string `json:"content,omitempty"`
Blocks []ContentBlock `json:"-"`
ReasoningContent string `json:"reasoning_content,omitempty"`
ToolCallID string `json:"tool_call_id,omitempty"`
ToolCalls []ToolCall `json:"-"`
}
func (m Message) MarshalJSON() ([]byte, error) {
raw := map[string]interface{}{
"role": m.Role,
}
if len(m.Blocks) > 0 {
raw["content"] = m.Blocks
} else {
raw["content"] = m.Content
}
if m.ReasoningContent != "" {
raw["reasoning_content"] = m.ReasoningContent
}
if m.ToolCallID != "" {
raw["tool_call_id"] = m.ToolCallID
}
if len(m.ToolCalls) > 0 {
apiTCs := make([]apiToolCall, len(m.ToolCalls))
for i, tc := range m.ToolCalls {
argsBytes, _ := json.Marshal(tc.Arguments)
apiTCs[i] = apiToolCall{
ID: tc.ID,
Type: "function",
Function: apiFunction{
Name: tc.Name,
Arguments: string(argsBytes),
},
}
}
raw["tool_calls"] = apiTCs
}
return json.Marshal(raw)
}
type CompletionRequest struct {
Model string `json:"model,omitempty"`
Messages []Message `json:"messages"`
Temperature float64 `json:"temperature,omitempty"`
MaxTokens int `json:"max_tokens,omitempty"`
Stream bool `json:"stream,omitempty"`
Tools []interface{} `json:"tools,omitempty"`
ToolChoice interface{} `json:"tool_choice,omitempty"`
ExtraBody map[string]interface{} `json:"-"`
}
func (r *CompletionRequest) MarshalJSON() ([]byte, error) {
type Alias CompletionRequest
data, err := json.Marshal((*Alias)(r))
if err != nil {
return nil, err
}
if len(r.ExtraBody) == 0 {
return data, nil
}
var raw map[string]interface{}
if err := json.Unmarshal(data, &raw); err != nil {
return nil, err
}
for k, v := range r.ExtraBody {
raw[k] = v
}
return json.Marshal(raw)
}
type CompletionResponse struct {
Content string `json:"content"`
ReasoningContent string `json:"reasoning_content,omitempty"`
FinishReason string `json:"finish_reason,omitempty"`
TokenUsage TokenUsage `json:"token_usage,omitempty"`
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
}
type TokenUsage struct {
Prompt int `json:"prompt"`
Completion int `json:"completion"`
Total int `json:"total"`
}
type ToolCall struct {
ID string `json:"id"`
Type string `json:"type"`
Name string `json:"name"`
Arguments map[string]interface{} `json:"arguments"`
}
type apiToolCall struct {
ID string `json:"id"`
Type string `json:"type"`
Function apiFunction `json:"function"`
}
type apiFunction struct {
Name string `json:"name"`
Arguments string `json:"arguments"`
}
type StreamChunk struct {
Content string `json:"content"`
Done bool `json:"done"`
ToolCall *ToolCall `json:"tool_call,omitempty"`
}
type Provider interface {
Name() string
Chat(ctx context.Context, req *CompletionRequest) (*CompletionResponse, error)
ChatStream(ctx context.Context, req *CompletionRequest) (<-chan StreamChunk, error)
}
type BaseConfig struct {
Model string `json:"model"`
BaseURL string `json:"base_url"`
APIKey string `json:"api_key"`
Temperature float64 `json:"temperature"`
MaxTokens int `json:"max_tokens"`
}
type OpenAIProvider struct {
cfg BaseConfig
client *http.Client
}
func NewOpenAIProvider(cfg BaseConfig) *OpenAIProvider {
if cfg.BaseURL == "" {
cfg.BaseURL = "https://api.openai.com/v1"
}
if cfg.Temperature == 0 {
cfg.Temperature = 0.7
}
if cfg.MaxTokens == 0 {
cfg.MaxTokens = 4096
}
return &OpenAIProvider{
cfg: cfg,
client: &http.Client{Timeout: 60 * time.Second},
}
}
func (p *OpenAIProvider) Name() string { return "openai" }
func (p *OpenAIProvider) Chat(ctx context.Context, req *CompletionRequest) (*CompletionResponse, error) {
if req.Model == "" {
req.Model = p.cfg.Model
}
body, _ := json.Marshal(req)
httpReq, _ := http.NewRequestWithContext(ctx, "POST", p.cfg.BaseURL+"/chat/completions", strings.NewReader(string(body)))
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Authorization", "Bearer "+p.cfg.APIKey)
resp, err := p.client.Do(httpReq)
if err != nil {
return nil, fmt.Errorf("api call: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
respBody, _ := io.ReadAll(resp.Body)
return nil, fmt.Errorf("api error %d: %s", resp.StatusCode, string(respBody))
}
var rawResult struct {
Choices []struct {
Message struct {
Content *string `json:"content"`
ReasoningContent *string `json:"reasoning_content"`
ToolCalls []rawToolCall `json:"tool_calls"`
Role string `json:"role"`
} `json:"message"`
FinishReason string `json:"finish_reason"`
} `json:"choices"`
Usage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
} `json:"usage"`
}
if err := json.NewDecoder(resp.Body).Decode(&rawResult); err != nil {
return nil, fmt.Errorf("decode: %w", err)
}
if len(rawResult.Choices) == 0 {
return nil, fmt.Errorf("no choices returned")
}
ch := rawResult.Choices[0]
content := ""
if ch.Message.Content != nil {
content = *ch.Message.Content
}
var toolCalls []ToolCall
for _, tc := range ch.Message.ToolCalls {
tc := tc
args := make(map[string]interface{})
if err := json.Unmarshal([]byte(tc.Function.Arguments), &args); err != nil {
args["_raw"] = tc.Function.Arguments
}
toolCalls = append(toolCalls, ToolCall{
ID: tc.ID,
Type: tc.Type,
Name: tc.Function.Name,
Arguments: args,
})
}
return &CompletionResponse{
Content: content,
FinishReason: ch.FinishReason,
TokenUsage: TokenUsage{
Prompt: rawResult.Usage.PromptTokens,
Completion: rawResult.Usage.CompletionTokens,
Total: rawResult.Usage.TotalTokens,
},
ToolCalls: toolCalls,
}, nil
}
func (p *OpenAIProvider) ChatStream(ctx context.Context, req *CompletionRequest) (<-chan StreamChunk, error) {
req.Stream = true
ch := make(chan StreamChunk, 64)
body, _ := json.Marshal(req)
httpReq, _ := http.NewRequestWithContext(ctx, "POST", p.cfg.BaseURL+"/chat/completions", strings.NewReader(string(body)))
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Authorization", "Bearer "+p.cfg.APIKey)
resp, err := p.client.Do(httpReq)
if err != nil {
return nil, fmt.Errorf("stream api: %w", err)
}
go func() {
defer resp.Body.Close()
defer close(ch)
decoder := json.NewDecoder(resp.Body)
for {
var line struct {
Choices []struct {
Delta struct {
Content string `json:"content"`
} `json:"delta"`
FinishReason *string `json:"finish_reason"`
} `json:"choices"`
}
if err := decoder.Decode(&line); err != nil {
return
}
if len(line.Choices) > 0 {
select {
case ch <- StreamChunk{
Content: line.Choices[0].Delta.Content,
Done: line.Choices[0].FinishReason != nil,
}:
case <-ctx.Done():
return
}
}
}
}()
return ch, nil
}
type OllamaProvider struct {
cfg BaseConfig
client *http.Client
}
func NewOllamaProvider(cfg BaseConfig) *OllamaProvider {
if cfg.BaseURL == "" {
cfg.BaseURL = "http://localhost:11434"
}
if cfg.Temperature == 0 {
cfg.Temperature = 0.7
}
if cfg.MaxTokens == 0 {
cfg.MaxTokens = 4096
}
return &OllamaProvider{
cfg: cfg,
client: &http.Client{Timeout: 120 * time.Second},
}
}
func (p *OllamaProvider) Name() string { return "ollama" }
func (p *OllamaProvider) Chat(ctx context.Context, req *CompletionRequest) (*CompletionResponse, error) {
ollamaReq := map[string]interface{}{
"model": req.Model,
"messages": req.Messages,
"stream": false,
"options": map[string]interface{}{
"temperature": req.Temperature,
"num_predict": req.MaxTokens,
},
}
body, _ := json.Marshal(ollamaReq)
httpReq, _ := http.NewRequestWithContext(ctx, "POST", p.cfg.BaseURL+"/api/chat", strings.NewReader(string(body)))
httpReq.Header.Set("Content-Type", "application/json")
resp, err := p.client.Do(httpReq)
if err != nil {
return nil, fmt.Errorf("ollama chat: %w", err)
}
defer resp.Body.Close()
var result struct {
Message struct {
Content string `json:"content"`
} `json:"message"`
DoneReason string `json:"done_reason"`
}
if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
return nil, fmt.Errorf("decode: %w", err)
}
return &CompletionResponse{
Content: result.Message.Content,
FinishReason: result.DoneReason,
}, nil
}
func (p *OllamaProvider) ChatStream(ctx context.Context, req *CompletionRequest) (<-chan StreamChunk, error) {
ch := make(chan StreamChunk, 64)
go func() {
defer close(ch)
ch <- StreamChunk{Done: true}
}()
return ch, nil
}
// LuaAdaptedProvider 使用 Lua 脚本做请求/响应变换,直接发起 HTTP 调用
// 不再包裹其他 Provider协议差异全部在 Lua 层处理
type LuaAdaptedProvider struct {
name string
cfg BaseConfig
vm *luaVM.VM
adapter string
client *http.Client
}
func NewLuaAdaptedProvider(cfg BaseConfig, vm *luaVM.VM, adapter string) *LuaAdaptedProvider {
if cfg.Temperature == 0 {
cfg.Temperature = 0.7
}
if cfg.MaxTokens == 0 {
cfg.MaxTokens = 4096
}
return &LuaAdaptedProvider{
name: fmt.Sprintf("lua_%s", adapter),
cfg: cfg,
vm: vm,
adapter: adapter,
client: &http.Client{Timeout: 120 * time.Second},
}
}
func (p *LuaAdaptedProvider) Name() string { return p.name }
func (p *LuaAdaptedProvider) Chat(ctx context.Context, req *CompletionRequest) (*CompletionResponse, error) {
if req.Model == "" {
req.Model = p.cfg.Model
}
rawReq, _ := json.Marshal(req)
transformedBody, err := p.vm.CallTransformRequest(p.adapter, string(rawReq))
if err != nil {
return nil, fmt.Errorf("lua transform_request: %w", err)
}
endpoint := p.vm.GetAdapterEndpoint(p.adapter)
if endpoint == "" {
endpoint = "/chat/completions"
}
url := strings.TrimRight(p.cfg.BaseURL, "/") + endpoint
httpReq, err := http.NewRequestWithContext(ctx, "POST", url, strings.NewReader(transformedBody))
if err != nil {
return nil, fmt.Errorf("create request: %w", err)
}
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Authorization", "Bearer "+p.cfg.APIKey)
for k, v := range p.vm.GetAdapterHeaders(p.adapter) {
httpReq.Header.Set(k, v)
}
resp, err := p.client.Do(httpReq)
if err != nil {
return nil, fmt.Errorf("api call: %w", err)
}
defer resp.Body.Close()
rawResp, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("read response: %w", err)
}
if resp.StatusCode != 200 {
return nil, fmt.Errorf("api error %d: %s", resp.StatusCode, string(rawResp))
}
unifiedJSON, err := p.vm.CallTransformResponse(p.adapter, string(rawResp))
if err != nil {
return nil, fmt.Errorf("lua transform_response: %w", err)
}
var result CompletionResponse
if err := json.Unmarshal([]byte(unifiedJSON), &result); err != nil {
return nil, fmt.Errorf("unmarshal unified response: %w (body: %s)", err, unifiedJSON)
}
return &result, nil
}
func (p *LuaAdaptedProvider) ChatStream(ctx context.Context, req *CompletionRequest) (<-chan StreamChunk, error) {
if req.Model == "" {
req.Model = p.cfg.Model
}
req.Stream = true
rawReq, _ := json.Marshal(req)
transformedBody, err := p.vm.CallTransformRequest(p.adapter, string(rawReq))
if err != nil {
return nil, fmt.Errorf("lua transform_request (stream): %w", err)
}
endpoint := p.vm.GetAdapterEndpoint(p.adapter)
if endpoint == "" {
endpoint = "/chat/completions"
}
url := strings.TrimRight(p.cfg.BaseURL, "/") + endpoint
httpReq, err := http.NewRequestWithContext(ctx, "POST", url, strings.NewReader(transformedBody))
if err != nil {
return nil, fmt.Errorf("create stream request: %w", err)
}
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Authorization", "Bearer "+p.cfg.APIKey)
for k, v := range p.vm.GetAdapterHeaders(p.adapter) {
httpReq.Header.Set(k, v)
}
resp, err := p.client.Do(httpReq)
if err != nil {
return nil, fmt.Errorf("stream api: %w", err)
}
ch := make(chan StreamChunk, 64)
go func() {
defer resp.Body.Close()
defer close(ch)
scanner := NewSSEScanner(resp.Body)
for scanner.Scan() {
line := scanner.Text()
if line == "" {
continue
}
// 尝试用 Lua 变换流块(如果 adapter 定义了 transform_stream_chunk
unified, err := p.vm.CallTransformStreamChunk(p.adapter, line)
if err != nil || unified == line {
// 无流变换函数或变换透传,尝试标准 SSE 解析
var raw struct {
Choices []struct {
Delta struct {
Content string `json:"content"`
} `json:"delta"`
FinishReason *string `json:"finish_reason"`
} `json:"choices"`
}
if err := json.Unmarshal([]byte(unified), &raw); err != nil {
continue
}
if len(raw.Choices) > 0 {
select {
case ch <- StreamChunk{
Content: raw.Choices[0].Delta.Content,
Done: raw.Choices[0].FinishReason != nil,
}:
case <-ctx.Done():
return
}
}
continue
}
// Lua 返回了变换后的统一格式
var chunk StreamChunk
if err := json.Unmarshal([]byte(unified), &chunk); err == nil {
select {
case ch <- chunk:
case <-ctx.Done():
return
}
}
}
}()
return ch, nil
}
// SSEScanner 读取 SSE 格式的流data: ...
type SSEScanner struct {
reader *bufio.Reader
pending string
}
func NewSSEScanner(r io.Reader) *SSEScanner {
return &SSEScanner{reader: bufio.NewReader(r)}
}
func (s *SSEScanner) Scan() bool {
s.pending = ""
for {
line, err := s.reader.ReadString('\n')
if err != nil {
return false
}
line = strings.TrimRight(line, "\r\n")
if strings.HasPrefix(line, "data: ") {
s.pending = strings.TrimPrefix(line, "data: ")
if s.pending == "[DONE]" {
return false
}
return true
}
}
}
func (s *SSEScanner) Text() string { return s.pending }
type ProviderManager struct {
mu sync.RWMutex
providers map[string]Provider
default_ string
}
func NewProviderManager() *ProviderManager {
return &ProviderManager{
providers: make(map[string]Provider),
}
}
func (m *ProviderManager) Register(name string, p Provider) {
m.mu.Lock()
defer m.mu.Unlock()
m.providers[name] = p
if m.default_ == "" {
m.default_ = name
}
}
func (m *ProviderManager) SetDefault(name string) error {
m.mu.Lock()
defer m.mu.Unlock()
if _, ok := m.providers[name]; !ok {
return fmt.Errorf("provider %s not found", name)
}
m.default_ = name
return nil
}
func (m *ProviderManager) Get(name string) Provider {
m.mu.RLock()
defer m.mu.RUnlock()
if name == "" {
name = m.default_
}
return m.providers[name]
}
func (m *ProviderManager) Default() Provider {
m.mu.RLock()
defer m.mu.RUnlock()
return m.providers[m.default_]
}
// QuickChat 向默认 LLM Provider 发送一条简短消息并返回回复。
// 这是一个"非记忆"调用——直接通过 Provider HTTP 调用,不经过 Agent 的记忆/蒸馏管线。
// 适用于健康检查、系统自检等不需要产生记忆碎片的场景。
func (m *ProviderManager) QuickChat(ctx context.Context, prompt string) (*CompletionResponse, error) {
p := m.Default()
if p == nil {
return nil, fmt.Errorf("no default provider")
}
return p.Chat(ctx, &CompletionRequest{
Messages: []Message{
{Role: "user", Content: prompt},
},
MaxTokens: 128,
})
}
func (m *ProviderManager) List() []string {
m.mu.RLock()
defer m.mu.RUnlock()
var names []string
for n := range m.providers {
names = append(names, n)
}
return names
}
type rawToolCall struct {
ID string `json:"id"`
Type string `json:"type"`
Function struct {
Name string `json:"name"`
Arguments string `json:"arguments"`
} `json:"function"`
}
func messagesToMap(msgs []Message) []interface{} {
result := make([]interface{}, len(msgs))
for i, m := range msgs {
result[i] = map[string]interface{}{
"role": m.Role,
"content": m.Content,
}
}
return result
}
func getString(m map[string]interface{}, key string) string {
if v, ok := m[key]; ok {
if s, ok := v.(string); ok {
return s
}
}
return ""
}
func getFloat(m map[string]interface{}, key string) float64 {
if v, ok := m[key]; ok {
switch n := v.(type) {
case float64:
return n
case int:
return float64(n)
}
}
return 0
}