Gemini WIP
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75bf9f6125
commit
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406
pkg/lmcli/provider/google/google.go
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406
pkg/lmcli/provider/google/google.go
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@ -0,0 +1,406 @@
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package google
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import (
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"bufio"
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"strings"
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"git.mlow.ca/mlow/lmcli/pkg/lmcli/model"
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"git.mlow.ca/mlow/lmcli/pkg/lmcli/provider"
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"git.mlow.ca/mlow/lmcli/pkg/lmcli/tools"
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)
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type Client struct {
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APIKey string
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BaseURL string
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}
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type ContentPart struct {
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Text string `json:"text,omitempty"`
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FunctionCall *FunctionCall `json:"functionCall,omitempty"`
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FunctionResp *FunctionResponse `json:"functionResponse,omitempty"`
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}
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type FunctionCall struct {
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Name string `json:"name"`
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Args map[string]string `json:"args"`
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}
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type FunctionResponse struct {
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Name string `json:"name"`
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Response interface{} `json:"response"`
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}
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type Content struct {
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Role string `json:"role"`
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Parts []ContentPart `json:"parts"`
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}
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type GenerateContentRequest struct {
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Contents []Content `json:"contents"`
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Tools []Tool `json:"tools,omitempty"`
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}
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type Candidate struct {
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Content Content `json:"content"`
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FinishReason string `json:"finishReason"`
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Index int `json:"index"`
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}
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type GenerateContentResponse struct {
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Candidates []Candidate `json:"candidates"`
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}
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type Tool struct {
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FunctionDeclarations []FunctionDeclaration `json:"functionDeclarations"`
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}
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type FunctionDeclaration struct {
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Name string `json:"name"`
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Description string `json:"description"`
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Parameters ToolParameters `json:"parameters"`
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}
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type ToolParameters struct {
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Type string `json:"type"`
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Properties map[string]ToolParameter `json:"properties,omitempty"`
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Required []string `json:"required,omitempty"`
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}
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type ToolParameter struct {
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Type string `json:"type"`
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Description string `json:"description"`
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Enum []string `json:"enum,omitempty"`
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}
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func convertTools(tools []model.Tool) []Tool {
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geminiTools := make([]Tool, 0, len(tools))
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for _, tool := range tools {
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params := make(map[string]ToolParameter)
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var required []string
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for _, param := range tool.Parameters {
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params[param.Name] = ToolParameter{
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Type: param.Type,
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Description: param.Description,
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Enum: param.Enum,
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}
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if param.Required {
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required = append(required, param.Name)
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}
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}
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geminiTools = append(geminiTools, Tool{
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FunctionDeclarations: []FunctionDeclaration{
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{
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Name: tool.Name,
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Description: tool.Description,
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Parameters: ToolParameters{
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Type: "OBJECT",
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Properties: params,
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Required: required,
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},
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},
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},
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})
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}
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return geminiTools
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}
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func convertToolCallToGemini(toolCalls []model.ToolCall) []ContentPart {
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converted := make([]ContentPart, len(toolCalls))
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for i, call := range toolCalls {
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args := make(map[string]string)
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for k, v := range call.Parameters {
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args[k] = fmt.Sprintf("%v", v)
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}
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converted[i].FunctionCall = &FunctionCall{
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Name: call.Name,
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Args: args,
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}
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}
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return converted
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}
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func convertToolCallToAPI(parts []ContentPart) []model.ToolCall {
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converted := make([]model.ToolCall, len(parts))
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for i, part := range parts {
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if part.FunctionCall != nil {
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params := make(map[string]interface{})
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for k, v := range part.FunctionCall.Args {
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params[k] = v
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}
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converted[i].Name = part.FunctionCall.Name
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converted[i].Parameters = params
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}
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}
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return converted
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}
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func createGenerateContentRequest(
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params model.RequestParameters,
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messages []model.Message,
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) GenerateContentRequest {
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requestContents := make([]Content, 0, len(messages))
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for _, m := range messages {
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switch m.Role {
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case "tool_call":
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content := Content{
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Role: "model",
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Parts: convertToolCallToGemini(m.ToolCalls),
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}
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requestContents = append(requestContents, content)
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case "tool_result":
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// expand tool_result messages' results into multiple gemini messages
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for _, result := range m.ToolResults {
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content := Content{
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Role: "function",
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Parts: []ContentPart{
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{
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FunctionResp: &FunctionResponse{
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Name: result.ToolCallID,
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Response: result.Result,
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},
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},
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},
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}
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requestContents = append(requestContents, content)
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}
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default:
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content := Content{
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Role: string(m.Role),
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Parts: []ContentPart{
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{
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Text: m.Content,
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},
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},
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}
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requestContents = append(requestContents, content)
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}
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}
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request := GenerateContentRequest{
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Contents: requestContents,
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}
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if len(params.ToolBag) > 0 {
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request.Tools = convertTools(params.ToolBag)
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}
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return request
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}
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func handleToolCalls(
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params model.RequestParameters,
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content string,
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toolCalls []model.ToolCall,
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callback provider.ReplyCallback,
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messages []model.Message,
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) ([]model.Message, error) {
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lastMessage := messages[len(messages)-1]
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continuation := false
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if lastMessage.Role.IsAssistant() {
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continuation = true
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}
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toolCall := model.Message{
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Role: model.MessageRoleToolCall,
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Content: content,
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ToolCalls: toolCalls,
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}
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toolResults, err := tools.ExecuteToolCalls(toolCall.ToolCalls, params.ToolBag)
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if err != nil {
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return nil, err
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}
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toolResult := model.Message{
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Role: model.MessageRoleToolResult,
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ToolResults: toolResults,
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}
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if callback != nil {
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callback(toolCall)
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callback(toolResult)
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}
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if continuation {
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messages[len(messages)-1] = toolCall
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} else {
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messages = append(messages, toolCall)
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}
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messages = append(messages, toolResult)
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return messages, nil
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}
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func (c *Client) sendRequest(ctx context.Context, req *http.Request) (*http.Response, error) {
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Authorization", "Bearer "+c.APIKey)
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client := &http.Client{}
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resp, err := client.Do(req.WithContext(ctx))
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if resp.StatusCode != 200 {
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bytes, _ := io.ReadAll(resp.Body)
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return resp, fmt.Errorf("%v", string(bytes))
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}
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return resp, err
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}
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func (c *Client) CreateChatCompletion(
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ctx context.Context,
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params model.RequestParameters,
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messages []model.Message,
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callback provider.ReplyCallback,
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) (string, error) {
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if len(messages) == 0 {
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return "", fmt.Errorf("Can't create completion from no messages")
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}
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req := createGenerateContentRequest(params, messages)
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jsonData, err := json.Marshal(req)
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if err != nil {
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return "", err
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}
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httpReq, err := http.NewRequest("POST", fmt.Sprintf("%s/v1beta/models/%s:generateContent", c.BaseURL, params.Model), bytes.NewBuffer(jsonData))
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if err != nil {
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return "", err
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}
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resp, err := c.sendRequest(ctx, httpReq)
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if err != nil {
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return "", err
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}
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defer resp.Body.Close()
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var completionResp GenerateContentResponse
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err = json.NewDecoder(resp.Body).Decode(&completionResp)
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if err != nil {
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return "", err
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}
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choice := completionResp.Candidates[0]
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var content string
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lastMessage := messages[len(messages)-1]
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if lastMessage.Role.IsAssistant() {
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content = lastMessage.Content
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}
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for _, part := range choice.Content.Parts {
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if part.Text != "" {
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content += part.Text
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}
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}
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toolCalls := convertToolCallToAPI(choice.Content.Parts)
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if len(toolCalls) > 0 {
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messages, err := handleToolCalls(params, content, toolCalls, callback, messages)
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if err != nil {
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return content, err
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}
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return c.CreateChatCompletion(ctx, params, messages, callback)
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}
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if callback != nil {
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callback(model.Message{
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Role: model.MessageRoleAssistant,
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Content: content,
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})
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}
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// Return the user-facing message.
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return content, nil
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}
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func (c *Client) CreateChatCompletionStream(
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ctx context.Context,
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params model.RequestParameters,
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messages []model.Message,
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callback provider.ReplyCallback,
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output chan<- string,
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) (string, error) {
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if len(params.ToolBag) > 0 {
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return "", fmt.Errorf("Tool calling is not supported in streaming mode.")
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}
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if len(messages) == 0 {
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return "", fmt.Errorf("Can't create completion from no messages")
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}
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req := createGenerateContentRequest(params, messages)
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jsonData, err := json.Marshal(req)
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if err != nil {
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return "", err
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}
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httpReq, err := http.NewRequest("POST", fmt.Sprintf("%s/v1beta/models/%s:streamGenerateContent?alt=sse", c.BaseURL, params.Model), bytes.NewBuffer(jsonData))
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if err != nil {
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return "", err
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}
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resp, err := c.sendRequest(ctx, httpReq)
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if err != nil {
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return "", err
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}
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defer resp.Body.Close()
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content := strings.Builder{}
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lastMessage := messages[len(messages)-1]
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if lastMessage.Role.IsAssistant() {
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content.WriteString(lastMessage.Content)
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}
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reader := bufio.NewReader(resp.Body)
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for {
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line, err := reader.ReadBytes('\n')
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if err != nil {
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if err == io.EOF {
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break
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}
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return "", err
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}
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line = bytes.TrimSpace(line)
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if len(line) == 0 || !bytes.HasPrefix(line, []byte("data: ")) {
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continue
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}
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line = bytes.TrimPrefix(line, []byte("data: "))
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var streamResp GenerateContentResponse
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err = json.Unmarshal(line, &streamResp)
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if err != nil {
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return "", err
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}
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for _, candidate := range streamResp.Candidates {
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for _, part := range candidate.Content.Parts {
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if part.Text != "" {
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output <- part.Text
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content.WriteString(part.Text)
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}
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}
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}
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}
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if callback != nil {
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callback(model.Message{
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Role: model.MessageRoleAssistant,
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Content: content.String(),
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})
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}
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return content.String(), nil
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}
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