rony-llm-agent/pkg/llm/providers/openai/client.go

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package openai
import (
"bufio"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"iter"
"strings"
"github.com/VictorVargas/rony-llm-agent/pkg/llm"
)
// Config holds the settings needed to create an OpenAI client.
type Config struct {
APIKey string
Model string
BaseURL string // defaults to https://api.openai.com/v1
}
// Client implements llm.LLMClient for OpenAI.
type Client struct {
apiKey string
baseURL string
http *http.Client
}
// New returns a new OpenAI client.
func New(cfg Config) (*Client, error) {
if cfg.APIKey == "" {
return nil, fmt.Errorf("openai: API key is required")
}
baseURL := cfg.BaseURL
if baseURL == "" {
baseURL = "https://api.openai.com/v1"
}
return &Client{
apiKey: cfg.APIKey,
baseURL: baseURL,
http: http.DefaultClient,
}, nil
}
func (c *Client) Generate(ctx context.Context, req llm.CompletionRequest) (llm.CompletionResponse, error) {
endpoint := c.baseURL + "/chat/completions"
payload, err := c.buildRequest(req)
if err != nil {
return llm.CompletionResponse{}, fmt.Errorf("building request: %w", err)
}
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, payload)
if err != nil {
return llm.CompletionResponse{}, fmt.Errorf("creating request: %w", err)
}
httpReq.Header.Set("Authorization", "Bearer "+c.apiKey)
httpReq.Header.Set("Content-Type", "application/json")
resp, err := c.http.Do(httpReq)
if err != nil {
return llm.CompletionResponse{}, fmt.Errorf("request failed: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
body, _ := io.ReadAll(resp.Body)
return llm.CompletionResponse{}, fmt.Errorf("API error %d: %s", resp.StatusCode, string(body))
}
var apiResp openaiChatResponse
if err := json.NewDecoder(resp.Body).Decode(&apiResp); err != nil {
return llm.CompletionResponse{}, fmt.Errorf("decoding response: %w", err)
}
return c.toResponse(apiResp), nil
}
func (c *Client) Stream(ctx context.Context, req llm.CompletionRequest) iter.Seq2[llm.StreamChunk, error] {
return func(yield func(llm.StreamChunk, error) bool) {
endpoint := c.baseURL + "/chat/completions"
payload, err := c.buildRequest(req)
if err != nil {
yield(llm.StreamChunk{}, fmt.Errorf("building request: %w", err))
return
}
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, payload)
if err != nil {
yield(llm.StreamChunk{}, fmt.Errorf("creating request: %w", err))
return
}
httpReq.Header.Set("Authorization", "Bearer "+c.apiKey)
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Accept", "text/event-stream")
resp, err := c.http.Do(httpReq)
if err != nil {
yield(llm.StreamChunk{}, fmt.Errorf("request failed: %w", err))
return
}
defer resp.Body.Close()
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
body, _ := io.ReadAll(resp.Body)
yield(llm.StreamChunk{}, fmt.Errorf("API error %d: %s", resp.StatusCode, string(body)))
return
}
scanner := bufio.NewScanner(resp.Body)
for scanner.Scan() {
line := scanner.Text()
if !strings.HasPrefix(line, "data: ") {
continue
}
data := strings.TrimPrefix(line, "data: ")
if data == "[DONE]" {
return
}
var event openaiStreamEvent
if err := json.Unmarshal([]byte(data), &event); err != nil {
yield(llm.StreamChunk{}, fmt.Errorf("decoding event: %w", err))
return
}
for _, choice := range event.Choices {
chunk := llm.StreamChunk{
Delta: choice.Delta.Content,
}
if choice.FinishReason != "" {
chunk.FinishReason = choice.FinishReason
}
if !yield(chunk, nil) {
return
}
}
}
if err := scanner.Err(); err != nil {
yield(llm.StreamChunk{}, fmt.Errorf("stream error: %w", err))
}
}
}
func (c *Client) Name() string {
return "openai"
}
func (c *Client) Capabilities() llm.ProviderCapabilities {
return llm.ProviderCapabilities{
SupportsTools: true,
SupportsVision: true,
SupportsJSON: true,
MaxContextWindow: 128000,
}
}
// buildRequest converts an llm.CompletionRequest to the OpenAI API format.
func (c *Client) buildRequest(req llm.CompletionRequest) (io.Reader, error) {
// Convert messages to OpenAI format
messages := make([]openaiMessage, len(req.Messages))
for i, m := range req.Messages {
messages[i] = openaiMessage{
Role: string(m.Role),
Content: m.Content,
}
}
tools := make([]openaiTool, len(req.Tools))
for i, t := range req.Tools {
var tool openaiTool
if err := json.Unmarshal(t, &tool); err != nil {
return nil, fmt.Errorf("parsing tool %d: %w", i, err)
}
tools[i] = tool
}
openaiReq := openaiChatRequest{
Model: req.Model,
Messages: messages,
Stream: false,
}
if len(tools) > 0 {
openaiReq.Tools = tools
}
if req.ToolChoice != nil {
openaiReq.ToolChoice = req.ToolChoice
}
if req.Temperature != nil {
tmp := *req.Temperature
openaiReq.Temperature = &tmp
}
if req.MaxTokens != nil {
max := *req.MaxTokens
openaiReq.MaxTokens = &max
}
if len(req.Stop) > 0 {
openaiReq.Stop = req.Stop
}
data, err := json.Marshal(openaiReq)
if err != nil {
return nil, fmt.Errorf("marshaling request: %w", err)
}
return strings.NewReader(string(data)), nil
}
// toResponse converts an OpenAI API response to our CompletionResponse.
func (c *Client) toResponse(resp openaiChatResponse) llm.CompletionResponse {
choice := resp.Choices[0]
result := llm.CompletionResponse{
ID: resp.ID,
Model: resp.Model,
Content: choice.Message.Content,
StopReason: choice.FinishReason,
}
for _, tc := range choice.Message.ToolCalls {
result.ToolCalls = append(result.ToolCalls, llm.ToolCall{
ID: tc.ID,
Name: tc.Function.Name,
Arguments: json.RawMessage(tc.Function.Arguments),
})
}
result.Usage = llm.TokenUsage{
InputTokens: resp.Usage.PromptTokens,
OutputTokens: resp.Usage.CompletionTokens,
TotalTokens: resp.Usage.TotalTokens,
}
return result
}
// OpenAI API types
type openaiChatRequest struct {
Model string `json:"model"`
Messages []openaiMessage `json:"messages"`
Tools []openaiTool `json:"tools,omitempty"`
ToolChoice interface{} `json:"tool_choice,omitempty"`
Temperature *float32 `json:"temperature,omitempty"`
MaxTokens *int `json:"max_tokens,omitempty"`
Stop []string `json:"stop,omitempty"`
Stream bool `json:"stream"`
}
type openaiMessage struct {
Role string `json:"role"`
Content string `json:"content"`
}
type openaiTool struct {
Type string `json:"type"`
Function json.RawMessage `json:"function"`
}
type openaiChatResponse struct {
ID string `json:"id"`
Model string `json:"model"`
Choices []openaiChoice `json:"choices"`
Usage openaiUsage `json:"usage"`
}
type openaiChoice struct {
Index int `json:"index"`
Message openaiMessageResult `json:"message"`
FinishReason string `json:"finish_reason"`
}
type openaiMessageResult struct {
Role string `json:"role"`
Content string `json:"content"`
ToolCalls []openaiToolCall `json:"tool_calls"`
}
type openaiToolCall struct {
ID string `json:"id"`
Type string `json:"type"`
Function openaiFunction `json:"function"`
}
type openaiFunction struct {
Name string `json:"name"`
Arguments string `json:"arguments"`
}
type openaiUsage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
}
// Stream event types
type openaiStreamEvent struct {
ID string `json:"id"`
Choices []openaiStreamChoice `json:"choices"`
}
type openaiStreamChoice struct {
Index int `json:"index"`
Delta openaiStreamDelta `json:"delta"`
FinishReason string `json:"finish_reason"`
}
type openaiStreamDelta struct {
Content string `json:"content"`
Role string `json:"role"`
ToolCalls []openaiStreamToolCall `json:"tool_calls"`
}
type openaiStreamToolCall struct {
Index int `json:"index"`
ID string `json:"id"`
Type string `json:"type"`
Function openaiStreamFunction `json:"function"`
}
type openaiStreamFunction struct {
Name string `json:"name"`
Arguments string `json:"arguments"`
}