feat: add DeepSeek, Moonshot, xAI, Groq, Ollama; drop v1; migrate TUI to v2
Five OpenAI-compatible providers join the library as first-class constructors (llm.DeepSeek, llm.Moonshot, llm.XAI, llm.Groq, llm.Ollama). Their wire-level implementation is shared via a new v2/openaicompat package which is the extracted guts of the old v2/openai provider; each provider supplies its own Rules value to declare per-model constraints (e.g., DeepSeek Reasoner rejects tools and temperature, Moonshot/xAI accept images only on *-vision* models, Groq rejects audio input). v2/openai itself becomes a thin wrapper that sets RestrictTemperature for o-series and gpt-5 models. A new provider registry (v2/registry.go) exposes llm.Providers() and drives the TUI's provider picker so adding a provider in future is a single-file change. The TUI at cmd/llm was migrated from v1 to v2 and moved to v2/cmd/llm. With nothing else depending on v1, the v1 code at the repo root (all .go files, schema/, internal/, provider/, root go.mod/go.sum) is deleted. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
@@ -1,88 +1,31 @@
|
||||
# CLAUDE.md for go-llm
|
||||
|
||||
## Build and Test Commands
|
||||
- Build project: `go build ./...`
|
||||
- Run all tests: `go test ./...`
|
||||
- Run specific test: `go test -v -run <TestName> ./...`
|
||||
- Tidy dependencies: `go mod tidy`
|
||||
All Go code now lives under `v2/`. The module path is
|
||||
`gitea.stevedudenhoeffer.com/steve/go-llm/v2`. There is no module at the
|
||||
repository root anymore; the v1 code at the root was deleted after all
|
||||
consumers migrated to v2.
|
||||
|
||||
## Code Style Guidelines
|
||||
- **Indentation**: Use standard Go tabs for indentation.
|
||||
- **Naming**:
|
||||
- Use `camelCase` for internal/private variables and functions.
|
||||
- Use `PascalCase` for exported types, functions, and struct fields.
|
||||
- Interface names should be concise (e.g., `LLM`, `ChatCompletion`).
|
||||
- **Error Handling**:
|
||||
- Always check and handle errors immediately.
|
||||
- Wrap errors with context using `fmt.Errorf("%w: ...", err)`.
|
||||
- Use the project's internal `Error` struct in `error.go` when differentiating between error types is needed.
|
||||
- **Project Structure**:
|
||||
- `llm.go`: Contains core interfaces (`LLM`, `ChatCompletion`) and shared types (`Message`, `Role`, `Image`).
|
||||
- Provider implementations are in `openai.go`, `anthropic.go`, and `google.go`.
|
||||
- Schema definitions for tool calling are in the `schema/` directory.
|
||||
- `mcp.go`: MCP (Model Context Protocol) client integration for connecting to MCP servers.
|
||||
- **Imports**: Organize imports into groups: standard library, then third-party libraries.
|
||||
- **Documentation**: Use standard Go doc comments for exported symbols.
|
||||
- **README.md**: The README.md file should always be kept up to date with any significant changes to the project.
|
||||
See `v2/CLAUDE.md` for build/test commands and per-package guidance.
|
||||
|
||||
## CLI Tool
|
||||
- Build CLI: `go build ./cmd/llm`
|
||||
- Run CLI: `./llm` (or `llm.exe` on Windows)
|
||||
- Run without building: `go run ./cmd/llm`
|
||||
## CLI
|
||||
|
||||
### CLI Features
|
||||
- Interactive TUI for testing all go-llm features
|
||||
- Support for OpenAI, Anthropic, and Google providers
|
||||
- Image input (file path, URL, or base64)
|
||||
- Tool/function calling with demo tools
|
||||
- Temperature control and settings
|
||||
The interactive TUI lives at `v2/cmd/llm`:
|
||||
|
||||
### Key Bindings
|
||||
- `Enter` - Send message
|
||||
- `Ctrl+I` - Add image
|
||||
- `Ctrl+T` - Toggle tools panel
|
||||
- `Ctrl+P` - Change provider
|
||||
- `Ctrl+M` - Change model
|
||||
- `Ctrl+S` - Settings
|
||||
- `Ctrl+N` - New conversation
|
||||
- `Esc` - Exit/Cancel
|
||||
|
||||
## MCP (Model Context Protocol) Support
|
||||
|
||||
The library supports connecting to MCP servers to use their tools. MCP servers can be connected via:
|
||||
- **stdio**: Run a command as a subprocess
|
||||
- **sse**: Connect to an SSE endpoint
|
||||
- **http**: Connect to a streamable HTTP endpoint
|
||||
|
||||
### Usage Example
|
||||
```go
|
||||
ctx := context.Background()
|
||||
|
||||
// Create and connect to an MCP server
|
||||
server := &llm.MCPServer{
|
||||
Name: "my-server",
|
||||
Command: "my-mcp-server",
|
||||
Args: []string{"--some-flag"},
|
||||
}
|
||||
if err := server.Connect(ctx); err != nil {
|
||||
log.Fatal(err)
|
||||
}
|
||||
defer server.Close()
|
||||
|
||||
// Add the server to a toolbox
|
||||
toolbox := llm.NewToolBox().WithMCPServer(server)
|
||||
|
||||
// Use the toolbox in requests - MCP tools are automatically available
|
||||
req := llm.Request{
|
||||
Messages: []llm.Message{{Role: llm.RoleUser, Text: "Use the MCP tool"}},
|
||||
Toolbox: toolbox,
|
||||
}
|
||||
```
|
||||
cd v2 && go run ./cmd/llm
|
||||
```
|
||||
|
||||
### MCPServer Options
|
||||
- `Name`: Friendly name for logging
|
||||
- `Command`: Command to run (for stdio transport)
|
||||
- `Args`: Command arguments
|
||||
- `Env`: Additional environment variables
|
||||
- `URL`: Endpoint URL (for sse/http transport)
|
||||
- `Transport`: "stdio" (default), "sse", or "http"
|
||||
It iterates `llm.Providers()` so every registered provider (OpenAI, Anthropic,
|
||||
Google, DeepSeek, Moonshot, xAI, Groq, Ollama) appears in the picker
|
||||
automatically. Status is derived from each provider's env var; Ollama shows as
|
||||
"(local)" because it needs no key.
|
||||
|
||||
### Key bindings
|
||||
- `Enter` — Send message
|
||||
- `Ctrl+I` — Add image
|
||||
- `Ctrl+T` — Toggle tools panel
|
||||
- `Ctrl+P` — Change provider
|
||||
- `Ctrl+M` — Change model
|
||||
- `Ctrl+S` — Settings
|
||||
- `Ctrl+N` — New conversation
|
||||
- `Esc` — Exit/Cancel
|
||||
|
||||
-225
@@ -1,225 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/base64"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io"
|
||||
"log"
|
||||
"log/slog"
|
||||
"net/http"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/internal/imageutil"
|
||||
|
||||
anth "github.com/liushuangls/go-anthropic/v2"
|
||||
)
|
||||
|
||||
type anthropicImpl struct {
|
||||
key string
|
||||
model string
|
||||
}
|
||||
|
||||
var _ LLM = anthropicImpl{}
|
||||
|
||||
func (a anthropicImpl) ModelVersion(modelVersion string) (ChatCompletion, error) {
|
||||
a.model = modelVersion
|
||||
|
||||
// TODO: model verification?
|
||||
return a, nil
|
||||
}
|
||||
|
||||
func deferClose(c io.Closer) {
|
||||
err := c.Close()
|
||||
if err != nil {
|
||||
slog.Error("error closing", "error", err)
|
||||
}
|
||||
}
|
||||
|
||||
func (a anthropicImpl) requestToAnthropicRequest(req Request) anth.MessagesRequest {
|
||||
res := anth.MessagesRequest{
|
||||
Model: anth.Model(a.model),
|
||||
MaxTokens: 1000,
|
||||
}
|
||||
|
||||
msgs := []anth.Message{}
|
||||
|
||||
// we gotta convert messages into anthropic messages, however
|
||||
// anthropic does not have a "system" message type, so we need to
|
||||
// append it to the res.System field instead
|
||||
|
||||
for _, msg := range req.Messages {
|
||||
if msg.Role == RoleSystem {
|
||||
if len(res.System) > 0 {
|
||||
res.System += "\n"
|
||||
}
|
||||
res.System += msg.Text
|
||||
} else {
|
||||
role := anth.RoleUser
|
||||
|
||||
if msg.Role == RoleAssistant {
|
||||
role = anth.RoleAssistant
|
||||
}
|
||||
|
||||
m := anth.Message{
|
||||
Role: role,
|
||||
Content: []anth.MessageContent{},
|
||||
}
|
||||
|
||||
if msg.Text != "" {
|
||||
m.Content = append(m.Content, anth.MessageContent{
|
||||
Type: anth.MessagesContentTypeText,
|
||||
Text: &msg.Text,
|
||||
})
|
||||
}
|
||||
|
||||
for _, img := range msg.Images {
|
||||
// anthropic doesn't allow the assistant to send images, so we need to say it's from the user
|
||||
if m.Role == anth.RoleAssistant {
|
||||
m.Role = anth.RoleUser
|
||||
}
|
||||
|
||||
if img.Base64 != "" {
|
||||
// Anthropic models expect images to be < 5MiB in size
|
||||
raw, err := base64.StdEncoding.DecodeString(img.Base64)
|
||||
|
||||
if err != nil {
|
||||
continue
|
||||
}
|
||||
|
||||
// Check if image size exceeds 5MiB (5242880 bytes)
|
||||
if len(raw) >= 5242880 {
|
||||
|
||||
compressed, mime, err := imageutil.CompressImage(img.Base64, 5*1024*1024)
|
||||
|
||||
// just replace the image with the compressed one
|
||||
if err != nil {
|
||||
continue
|
||||
}
|
||||
|
||||
img.Base64 = compressed
|
||||
img.ContentType = mime
|
||||
}
|
||||
|
||||
m.Content = append(m.Content, anth.NewImageMessageContent(
|
||||
anth.NewMessageContentSource(
|
||||
anth.MessagesContentSourceTypeBase64,
|
||||
img.ContentType,
|
||||
img.Base64,
|
||||
)))
|
||||
} else if img.Url != "" {
|
||||
|
||||
// download the image
|
||||
cl, err := http.NewRequest(http.MethodGet, img.Url, nil)
|
||||
if err != nil {
|
||||
log.Println("failed to create request", err)
|
||||
continue
|
||||
}
|
||||
|
||||
resp, err := http.DefaultClient.Do(cl)
|
||||
if err != nil {
|
||||
log.Println("failed to download image", err)
|
||||
continue
|
||||
}
|
||||
|
||||
defer deferClose(resp.Body)
|
||||
|
||||
img.ContentType = resp.Header.Get("Content-Type")
|
||||
|
||||
// read the image
|
||||
b, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
log.Println("failed to read image", err)
|
||||
continue
|
||||
}
|
||||
|
||||
// base64 encode the image
|
||||
img.Base64 = string(b)
|
||||
|
||||
m.Content = append(m.Content, anth.NewImageMessageContent(
|
||||
anth.NewMessageContentSource(
|
||||
anth.MessagesContentSourceTypeBase64,
|
||||
img.ContentType,
|
||||
img.Base64,
|
||||
)))
|
||||
}
|
||||
}
|
||||
|
||||
// if this has the same role as the previous message, we can append it to the previous message
|
||||
// as anthropic expects alternating assistant and user roles
|
||||
if len(msgs) > 0 && msgs[len(msgs)-1].Role == role {
|
||||
m2 := &msgs[len(msgs)-1]
|
||||
|
||||
m2.Content = append(m2.Content, m.Content...)
|
||||
} else {
|
||||
msgs = append(msgs, m)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for _, tool := range req.Toolbox.Functions() {
|
||||
res.Tools = append(res.Tools, anth.ToolDefinition{
|
||||
Name: tool.Name,
|
||||
Description: tool.Description,
|
||||
InputSchema: tool.Parameters.AnthropicInputSchema(),
|
||||
})
|
||||
}
|
||||
|
||||
res.Messages = msgs
|
||||
|
||||
if req.Temperature != nil {
|
||||
var f = float32(*req.Temperature)
|
||||
res.Temperature = &f
|
||||
}
|
||||
|
||||
log.Println("llm request to anthropic request", res)
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (a anthropicImpl) responseToLLMResponse(in anth.MessagesResponse) Response {
|
||||
choice := ResponseChoice{}
|
||||
for _, msg := range in.Content {
|
||||
|
||||
switch msg.Type {
|
||||
case anth.MessagesContentTypeText:
|
||||
if msg.Text != nil {
|
||||
choice.Content += *msg.Text
|
||||
}
|
||||
|
||||
case anth.MessagesContentTypeToolUse:
|
||||
if msg.MessageContentToolUse != nil {
|
||||
b, e := json.Marshal(msg.MessageContentToolUse.Input)
|
||||
if e != nil {
|
||||
log.Println("failed to marshal input", e)
|
||||
} else {
|
||||
choice.Calls = append(choice.Calls, ToolCall{
|
||||
ID: msg.MessageContentToolUse.ID,
|
||||
FunctionCall: FunctionCall{
|
||||
Name: msg.MessageContentToolUse.Name,
|
||||
Arguments: string(b),
|
||||
},
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
log.Println("anthropic response to llm response", choice)
|
||||
|
||||
return Response{
|
||||
Choices: []ResponseChoice{choice},
|
||||
}
|
||||
}
|
||||
|
||||
func (a anthropicImpl) ChatComplete(ctx context.Context, req Request) (Response, error) {
|
||||
cl := anth.NewClient(a.key)
|
||||
|
||||
res, err := cl.CreateMessages(ctx, a.requestToAnthropicRequest(req))
|
||||
|
||||
if err != nil {
|
||||
return Response{}, fmt.Errorf("failed to chat complete: %w", err)
|
||||
}
|
||||
|
||||
return a.responseToLLMResponse(res), nil
|
||||
}
|
||||
@@ -1,11 +0,0 @@
|
||||
# go-llm CLI Environment Variables
|
||||
# Copy this file to .env and fill in your API keys
|
||||
|
||||
# OpenAI API Key (https://platform.openai.com/api-keys)
|
||||
OPENAI_API_KEY=
|
||||
|
||||
# Anthropic API Key (https://console.anthropic.com/settings/keys)
|
||||
ANTHROPIC_API_KEY=
|
||||
|
||||
# Google AI API Key (https://aistudio.google.com/apikey)
|
||||
GOOGLE_API_KEY=
|
||||
@@ -1,182 +0,0 @@
|
||||
package main
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/base64"
|
||||
"fmt"
|
||||
"net/http"
|
||||
"os"
|
||||
"strings"
|
||||
|
||||
tea "github.com/charmbracelet/bubbletea"
|
||||
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm"
|
||||
)
|
||||
|
||||
// Message types for async operations
|
||||
|
||||
// ChatResponseMsg contains the response from a chat completion
|
||||
type ChatResponseMsg struct {
|
||||
Response llm.Response
|
||||
Err error
|
||||
}
|
||||
|
||||
// ToolExecutionMsg contains results from tool execution
|
||||
type ToolExecutionMsg struct {
|
||||
Results []llm.ToolCallResponse
|
||||
Err error
|
||||
}
|
||||
|
||||
// ImageLoadedMsg contains a loaded image
|
||||
type ImageLoadedMsg struct {
|
||||
Image llm.Image
|
||||
Err error
|
||||
}
|
||||
|
||||
// sendChatRequest sends a chat completion request
|
||||
func sendChatRequest(chat llm.ChatCompletion, req llm.Request) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
resp, err := chat.ChatComplete(context.Background(), req)
|
||||
return ChatResponseMsg{Response: resp, Err: err}
|
||||
}
|
||||
}
|
||||
|
||||
// executeTools executes tool calls and returns results
|
||||
func executeTools(toolbox llm.ToolBox, req llm.Request, resp llm.ResponseChoice) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
ctx := llm.NewContext(context.Background(), req, &resp, nil)
|
||||
var results []llm.ToolCallResponse
|
||||
|
||||
for _, call := range resp.Calls {
|
||||
result, err := toolbox.Execute(ctx, call)
|
||||
results = append(results, llm.ToolCallResponse{
|
||||
ID: call.ID,
|
||||
Result: result,
|
||||
Error: err,
|
||||
})
|
||||
}
|
||||
|
||||
return ToolExecutionMsg{Results: results, Err: nil}
|
||||
}
|
||||
}
|
||||
|
||||
// loadImageFromPath loads an image from a file path
|
||||
func loadImageFromPath(path string) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
// Clean up the path
|
||||
path = strings.TrimSpace(path)
|
||||
path = strings.Trim(path, "\"'")
|
||||
|
||||
// Read the file
|
||||
data, err := os.ReadFile(path)
|
||||
if err != nil {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("failed to read image file: %w", err)}
|
||||
}
|
||||
|
||||
// Detect content type
|
||||
contentType := http.DetectContentType(data)
|
||||
if !strings.HasPrefix(contentType, "image/") {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("file is not an image: %s", contentType)}
|
||||
}
|
||||
|
||||
// Base64 encode
|
||||
encoded := base64.StdEncoding.EncodeToString(data)
|
||||
|
||||
return ImageLoadedMsg{
|
||||
Image: llm.Image{
|
||||
Base64: encoded,
|
||||
ContentType: contentType,
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// loadImageFromURL loads an image from a URL
|
||||
func loadImageFromURL(url string) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
url = strings.TrimSpace(url)
|
||||
|
||||
// For URL images, we can just use the URL directly
|
||||
return ImageLoadedMsg{
|
||||
Image: llm.Image{
|
||||
Url: url,
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// loadImageFromBase64 loads an image from base64 data
|
||||
func loadImageFromBase64(data string) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
data = strings.TrimSpace(data)
|
||||
|
||||
// Check if it's a data URL
|
||||
if strings.HasPrefix(data, "data:") {
|
||||
// Parse data URL: data:image/png;base64,....
|
||||
parts := strings.SplitN(data, ",", 2)
|
||||
if len(parts) != 2 {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("invalid data URL format")}
|
||||
}
|
||||
|
||||
// Extract content type from first part
|
||||
mediaType := strings.TrimPrefix(parts[0], "data:")
|
||||
mediaType = strings.TrimSuffix(mediaType, ";base64")
|
||||
|
||||
return ImageLoadedMsg{
|
||||
Image: llm.Image{
|
||||
Base64: parts[1],
|
||||
ContentType: mediaType,
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
// Assume it's raw base64, try to detect content type
|
||||
decoded, err := base64.StdEncoding.DecodeString(data)
|
||||
if err != nil {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("invalid base64 data: %w", err)}
|
||||
}
|
||||
|
||||
contentType := http.DetectContentType(decoded)
|
||||
if !strings.HasPrefix(contentType, "image/") {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("data is not an image: %s", contentType)}
|
||||
}
|
||||
|
||||
return ImageLoadedMsg{
|
||||
Image: llm.Image{
|
||||
Base64: data,
|
||||
ContentType: contentType,
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// buildRequest builds a chat request from the current state
|
||||
func buildRequest(m *Model, userText string) llm.Request {
|
||||
// Create the user message with any pending images
|
||||
userMsg := llm.Message{
|
||||
Role: llm.RoleUser,
|
||||
Text: userText,
|
||||
Images: m.pendingImages,
|
||||
}
|
||||
|
||||
req := llm.Request{
|
||||
Conversation: m.conversation,
|
||||
Messages: []llm.Message{
|
||||
{Role: llm.RoleSystem, Text: m.systemPrompt},
|
||||
userMsg,
|
||||
},
|
||||
Temperature: m.temperature,
|
||||
}
|
||||
|
||||
// Add toolbox if enabled
|
||||
if m.toolsEnabled && len(m.toolbox.Functions()) > 0 {
|
||||
req.Toolbox = m.toolbox.WithRequireTool(false)
|
||||
}
|
||||
|
||||
return req
|
||||
}
|
||||
|
||||
// buildFollowUpRequest builds a follow-up request after tool execution
|
||||
func buildFollowUpRequest(m *Model, previousReq llm.Request, resp llm.ResponseChoice, toolResults []llm.ToolCallResponse) llm.Request {
|
||||
return previousReq.NextRequest(resp, toolResults)
|
||||
}
|
||||
@@ -1,105 +0,0 @@
|
||||
package main
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"math"
|
||||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm"
|
||||
)
|
||||
|
||||
// TimeParams is the parameter struct for the GetTime function
|
||||
type TimeParams struct{}
|
||||
|
||||
// GetTime returns the current time
|
||||
func GetTime(_ *llm.Context, _ TimeParams) (any, error) {
|
||||
return time.Now().Format("Monday, January 2, 2006 3:04:05 PM MST"), nil
|
||||
}
|
||||
|
||||
// CalcParams is the parameter struct for the Calculate function
|
||||
type CalcParams struct {
|
||||
A float64 `json:"a" description:"First number"`
|
||||
B float64 `json:"b" description:"Second number"`
|
||||
Op string `json:"op" description:"Operation: add, subtract, multiply, divide, power, sqrt, mod"`
|
||||
}
|
||||
|
||||
// Calculate performs basic math operations
|
||||
func Calculate(_ *llm.Context, params CalcParams) (any, error) {
|
||||
switch strings.ToLower(params.Op) {
|
||||
case "add", "+":
|
||||
return params.A + params.B, nil
|
||||
case "subtract", "sub", "-":
|
||||
return params.A - params.B, nil
|
||||
case "multiply", "mul", "*":
|
||||
return params.A * params.B, nil
|
||||
case "divide", "div", "/":
|
||||
if params.B == 0 {
|
||||
return nil, fmt.Errorf("division by zero")
|
||||
}
|
||||
return params.A / params.B, nil
|
||||
case "power", "pow", "^":
|
||||
return math.Pow(params.A, params.B), nil
|
||||
case "sqrt":
|
||||
if params.A < 0 {
|
||||
return nil, fmt.Errorf("cannot take square root of negative number")
|
||||
}
|
||||
return math.Sqrt(params.A), nil
|
||||
case "mod", "%":
|
||||
return math.Mod(params.A, params.B), nil
|
||||
default:
|
||||
return nil, fmt.Errorf("unknown operation: %s", params.Op)
|
||||
}
|
||||
}
|
||||
|
||||
// WeatherParams is the parameter struct for the GetWeather function
|
||||
type WeatherParams struct {
|
||||
Location string `json:"location" description:"City name or location"`
|
||||
}
|
||||
|
||||
// GetWeather returns mock weather data (for demo purposes)
|
||||
func GetWeather(_ *llm.Context, params WeatherParams) (any, error) {
|
||||
// This is a demo function - returns mock data
|
||||
weathers := []string{"sunny", "cloudy", "rainy", "partly cloudy", "windy"}
|
||||
temps := []int{65, 72, 58, 80, 45}
|
||||
|
||||
// Use location string to deterministically pick weather
|
||||
idx := len(params.Location) % len(weathers)
|
||||
|
||||
return map[string]any{
|
||||
"location": params.Location,
|
||||
"temperature": strconv.Itoa(temps[idx]) + "F",
|
||||
"condition": weathers[idx],
|
||||
"humidity": "45%",
|
||||
"note": "This is mock data for demonstration purposes",
|
||||
}, nil
|
||||
}
|
||||
|
||||
// RandomNumberParams is the parameter struct for the RandomNumber function
|
||||
type RandomNumberParams struct {
|
||||
Min int `json:"min" description:"Minimum value (inclusive)"`
|
||||
Max int `json:"max" description:"Maximum value (inclusive)"`
|
||||
}
|
||||
|
||||
// RandomNumber generates a pseudo-random number (using current time nanoseconds)
|
||||
func RandomNumber(_ *llm.Context, params RandomNumberParams) (any, error) {
|
||||
if params.Min > params.Max {
|
||||
return nil, fmt.Errorf("min cannot be greater than max")
|
||||
}
|
||||
// Simple pseudo-random using time
|
||||
n := time.Now().UnixNano()
|
||||
rangeSize := params.Max - params.Min + 1
|
||||
result := params.Min + int(n%int64(rangeSize))
|
||||
return result, nil
|
||||
}
|
||||
|
||||
// createDemoToolbox creates a toolbox with demo tools for testing
|
||||
func createDemoToolbox() llm.ToolBox {
|
||||
return llm.NewToolBox(
|
||||
llm.NewFunction("get_time", "Get the current date and time", GetTime),
|
||||
llm.NewFunction("calculate", "Perform basic math operations (add, subtract, multiply, divide, power, sqrt, mod)", Calculate),
|
||||
llm.NewFunction("get_weather", "Get weather information for a location (demo data)", GetWeather),
|
||||
llm.NewFunction("random_number", "Generate a random number between min and max", RandomNumber),
|
||||
)
|
||||
}
|
||||
-120
@@ -1,120 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"context"
|
||||
"time"
|
||||
)
|
||||
|
||||
type Context struct {
|
||||
context.Context
|
||||
request Request
|
||||
response *ResponseChoice
|
||||
toolcall *ToolCall
|
||||
syntheticFields map[string]string
|
||||
}
|
||||
|
||||
func (c *Context) ToNewRequest(toolResults ...ToolCallResponse) Request {
|
||||
var res Request
|
||||
|
||||
res.Toolbox = c.request.Toolbox
|
||||
res.Temperature = c.request.Temperature
|
||||
|
||||
res.Conversation = make([]Input, len(c.request.Conversation))
|
||||
copy(res.Conversation, c.request.Conversation)
|
||||
|
||||
// now for every input message, convert those to an Input to add to the conversation
|
||||
for _, msg := range c.request.Messages {
|
||||
res.Conversation = append(res.Conversation, msg)
|
||||
}
|
||||
|
||||
// if there are tool calls, then we need to add those to the conversation
|
||||
if c.response != nil {
|
||||
res.Conversation = append(res.Conversation, *c.response)
|
||||
}
|
||||
|
||||
// if there are tool results, then we need to add those to the conversation
|
||||
for _, result := range toolResults {
|
||||
res.Conversation = append(res.Conversation, result)
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func NewContext(ctx context.Context, request Request, response *ResponseChoice, toolcall *ToolCall) *Context {
|
||||
return &Context{Context: ctx, request: request, response: response, toolcall: toolcall}
|
||||
}
|
||||
|
||||
func (c *Context) Request() Request {
|
||||
return c.request
|
||||
}
|
||||
|
||||
func (c *Context) Response() *ResponseChoice {
|
||||
return c.response
|
||||
}
|
||||
|
||||
func (c *Context) ToolCall() *ToolCall {
|
||||
return c.toolcall
|
||||
}
|
||||
|
||||
func (c *Context) SyntheticFields() map[string]string {
|
||||
if c.syntheticFields == nil {
|
||||
c.syntheticFields = map[string]string{}
|
||||
}
|
||||
|
||||
return c.syntheticFields
|
||||
}
|
||||
|
||||
func (c *Context) WithContext(ctx context.Context) *Context {
|
||||
return &Context{Context: ctx, request: c.request, response: c.response, toolcall: c.toolcall, syntheticFields: c.syntheticFields}
|
||||
}
|
||||
|
||||
func (c *Context) WithRequest(request Request) *Context {
|
||||
return &Context{Context: c.Context, request: request, response: c.response, toolcall: c.toolcall, syntheticFields: c.syntheticFields}
|
||||
}
|
||||
|
||||
func (c *Context) WithResponse(response *ResponseChoice) *Context {
|
||||
return &Context{Context: c.Context, request: c.request, response: response, toolcall: c.toolcall, syntheticFields: c.syntheticFields}
|
||||
}
|
||||
|
||||
func (c *Context) WithToolCall(toolcall *ToolCall) *Context {
|
||||
return &Context{Context: c.Context, request: c.request, response: c.response, toolcall: toolcall, syntheticFields: c.syntheticFields}
|
||||
}
|
||||
|
||||
func (c *Context) WithSyntheticFields(syntheticFields map[string]string) *Context {
|
||||
return &Context{Context: c.Context, request: c.request, response: c.response, toolcall: c.toolcall, syntheticFields: syntheticFields}
|
||||
}
|
||||
|
||||
func (c *Context) Deadline() (deadline time.Time, ok bool) {
|
||||
return c.Context.Deadline()
|
||||
}
|
||||
|
||||
func (c *Context) Done() <-chan struct{} {
|
||||
return c.Context.Done()
|
||||
}
|
||||
|
||||
func (c *Context) Err() error {
|
||||
return c.Context.Err()
|
||||
}
|
||||
|
||||
func (c *Context) Value(key any) any {
|
||||
switch key {
|
||||
case "request":
|
||||
return c.request
|
||||
|
||||
case "response":
|
||||
return c.response
|
||||
|
||||
case "toolcall":
|
||||
return c.toolcall
|
||||
|
||||
case "syntheticFields":
|
||||
return c.syntheticFields
|
||||
|
||||
}
|
||||
return c.Context.Value(key)
|
||||
}
|
||||
|
||||
func (c *Context) WithTimeout(timeout time.Duration) (*Context, context.CancelFunc) {
|
||||
ctx, cancel := context.WithTimeout(c.Context, timeout)
|
||||
return c.WithContext(ctx), cancel
|
||||
}
|
||||
@@ -1,21 +0,0 @@
|
||||
package llm
|
||||
|
||||
import "fmt"
|
||||
|
||||
// Error is essentially just an error, but it is used to differentiate between a normal error and a fatal error.
|
||||
type Error struct {
|
||||
error
|
||||
|
||||
Source error
|
||||
Parameter error
|
||||
}
|
||||
|
||||
func newError(parent error, err error) Error {
|
||||
e := fmt.Errorf("%w: %w", parent, err)
|
||||
return Error{
|
||||
error: e,
|
||||
|
||||
Source: parent,
|
||||
Parameter: err,
|
||||
}
|
||||
}
|
||||
-136
@@ -1,136 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"log/slog"
|
||||
"reflect"
|
||||
"time"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/schema"
|
||||
)
|
||||
|
||||
type Function struct {
|
||||
Name string `json:"name"`
|
||||
Description string `json:"description,omitempty"`
|
||||
Strict bool `json:"strict,omitempty"`
|
||||
Parameters schema.Type `json:"parameters"`
|
||||
|
||||
Forced bool `json:"forced,omitempty"`
|
||||
|
||||
// Timeout is the maximum time to wait for the function to complete
|
||||
Timeout time.Duration `json:"-"`
|
||||
|
||||
// fn is the function to call, only set if this is constructed with NewFunction
|
||||
fn reflect.Value
|
||||
|
||||
paramType reflect.Type
|
||||
}
|
||||
|
||||
func (f Function) WithSyntheticField(name string, description string) Function {
|
||||
if obj, o := f.Parameters.(schema.Object); o {
|
||||
f.Parameters = obj.WithSyntheticField(name, description)
|
||||
}
|
||||
|
||||
return f
|
||||
}
|
||||
|
||||
func (f Function) WithSyntheticFields(fieldsAndDescriptions map[string]string) Function {
|
||||
if obj, o := f.Parameters.(schema.Object); o {
|
||||
for k, v := range fieldsAndDescriptions {
|
||||
obj = obj.WithSyntheticField(k, v)
|
||||
}
|
||||
f.Parameters = obj
|
||||
}
|
||||
|
||||
return f
|
||||
}
|
||||
|
||||
func (f Function) WithDescription(description string) Function {
|
||||
f.Description = description
|
||||
return f
|
||||
}
|
||||
|
||||
func (f Function) Execute(ctx *Context, input string) (any, error) {
|
||||
if !f.fn.IsValid() {
|
||||
return "", fmt.Errorf("function %s is not implemented", f.Name)
|
||||
}
|
||||
|
||||
slog.Info("Function.Execute", "name", f.Name, "input", input, "f", f.paramType)
|
||||
// first, we need to parse the input into the struct
|
||||
p := reflect.New(f.paramType)
|
||||
fmt.Println("Function.Execute", f.Name, "input:", input)
|
||||
|
||||
var vals map[string]any
|
||||
err := json.Unmarshal([]byte(input), &vals)
|
||||
|
||||
var syntheticFields map[string]string
|
||||
|
||||
// first eat up any synthetic fields
|
||||
if obj, o := f.Parameters.(schema.Object); o {
|
||||
for k := range obj.SyntheticFields() {
|
||||
key := schema.SyntheticFieldPrefix + k
|
||||
if val, ok := vals[key]; ok {
|
||||
if syntheticFields == nil {
|
||||
syntheticFields = map[string]string{}
|
||||
}
|
||||
|
||||
syntheticFields[k] = fmt.Sprint(val)
|
||||
delete(vals, key)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// now for any remaining fields, re-marshal them into json and then unmarshal into the struct
|
||||
b, err := json.Marshal(vals)
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("failed to marshal input: %w (input: %s)", err, input)
|
||||
}
|
||||
|
||||
// now we can unmarshal the input into the struct
|
||||
err = json.Unmarshal(b, p.Interface())
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("failed to unmarshal input: %w (input: %s)", err, input)
|
||||
}
|
||||
|
||||
// now we can call the function
|
||||
exec := func(ctx *Context) (any, error) {
|
||||
out := f.fn.Call([]reflect.Value{reflect.ValueOf(ctx), p.Elem()})
|
||||
|
||||
if len(out) != 2 {
|
||||
return "", fmt.Errorf("function %s must return two values, got %d", f.Name, len(out))
|
||||
}
|
||||
|
||||
if out[1].IsNil() {
|
||||
return out[0].Interface(), nil
|
||||
}
|
||||
|
||||
return "", out[1].Interface().(error)
|
||||
}
|
||||
|
||||
var cancel context.CancelFunc
|
||||
if f.Timeout > 0 {
|
||||
ctx, cancel = ctx.WithTimeout(f.Timeout)
|
||||
defer cancel()
|
||||
}
|
||||
|
||||
return exec(ctx)
|
||||
}
|
||||
|
||||
type FunctionCall struct {
|
||||
Name string `json:"name,omitempty"`
|
||||
Arguments string `json:"arguments,omitempty"`
|
||||
}
|
||||
|
||||
func (fc *FunctionCall) toRaw() map[string]any {
|
||||
res := map[string]interface{}{
|
||||
"name": fc.Name,
|
||||
}
|
||||
|
||||
if fc.Arguments != "" {
|
||||
res["arguments"] = fc.Arguments
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
@@ -1,35 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"reflect"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/schema"
|
||||
)
|
||||
|
||||
// Parse takes a function pointer and returns a function object.
|
||||
// fn must be a pointer to a function that takes a context.Context as its first argument, and then a struct that contains
|
||||
// the parameters for the function. The struct must contain only the types: string, int, float64, bool, and pointers to
|
||||
// those types.
|
||||
// The struct parameters can have the following tags:
|
||||
// - Description: a string that describes the parameter, passed to openaiImpl to tell it what the parameter is for
|
||||
|
||||
func NewFunction[T any](name string, description string, fn func(*Context, T) (any, error)) Function {
|
||||
var o T
|
||||
|
||||
res := Function{
|
||||
Name: name,
|
||||
Description: description,
|
||||
Parameters: schema.GetType(o),
|
||||
fn: reflect.ValueOf(fn),
|
||||
paramType: reflect.TypeOf(o),
|
||||
}
|
||||
|
||||
if res.fn.Kind() != reflect.Func {
|
||||
panic("fn must be a function")
|
||||
}
|
||||
if res.paramType.Kind() != reflect.Struct {
|
||||
panic("function parameter must be a struct")
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
@@ -1,67 +0,0 @@
|
||||
module gitea.stevedudenhoeffer.com/steve/go-llm
|
||||
|
||||
go 1.24.0
|
||||
|
||||
toolchain go1.24.2
|
||||
|
||||
require (
|
||||
github.com/charmbracelet/bubbles v0.21.0
|
||||
github.com/charmbracelet/bubbletea v1.3.10
|
||||
github.com/charmbracelet/lipgloss v1.1.0
|
||||
github.com/joho/godotenv v1.5.1
|
||||
github.com/liushuangls/go-anthropic/v2 v2.17.0
|
||||
github.com/modelcontextprotocol/go-sdk v1.2.0
|
||||
github.com/openai/openai-go v1.12.0
|
||||
golang.org/x/image v0.35.0
|
||||
google.golang.org/genai v1.43.0
|
||||
)
|
||||
|
||||
require (
|
||||
cloud.google.com/go v0.123.0 // indirect
|
||||
cloud.google.com/go/auth v0.18.1 // indirect
|
||||
cloud.google.com/go/compute/metadata v0.9.0 // indirect
|
||||
github.com/atotto/clipboard v0.1.4 // indirect
|
||||
github.com/aymanbagabas/go-osc52/v2 v2.0.1 // indirect
|
||||
github.com/cespare/xxhash/v2 v2.3.0 // indirect
|
||||
github.com/charmbracelet/colorprofile v0.2.3-0.20250311203215-f60798e515dc // indirect
|
||||
github.com/charmbracelet/x/ansi v0.10.1 // indirect
|
||||
github.com/charmbracelet/x/cellbuf v0.0.13-0.20250311204145-2c3ea96c31dd // indirect
|
||||
github.com/charmbracelet/x/term v0.2.1 // indirect
|
||||
github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f // indirect
|
||||
github.com/felixge/httpsnoop v1.0.4 // indirect
|
||||
github.com/go-logr/logr v1.4.3 // indirect
|
||||
github.com/go-logr/stdr v1.2.2 // indirect
|
||||
github.com/google/go-cmp v0.7.0 // indirect
|
||||
github.com/google/jsonschema-go v0.3.0 // indirect
|
||||
github.com/google/s2a-go v0.1.9 // indirect
|
||||
github.com/googleapis/enterprise-certificate-proxy v0.3.11 // indirect
|
||||
github.com/googleapis/gax-go/v2 v2.16.0 // indirect
|
||||
github.com/gorilla/websocket v1.5.3 // indirect
|
||||
github.com/lucasb-eyer/go-colorful v1.2.0 // indirect
|
||||
github.com/mattn/go-isatty v0.0.20 // indirect
|
||||
github.com/mattn/go-localereader v0.0.1 // indirect
|
||||
github.com/mattn/go-runewidth v0.0.16 // indirect
|
||||
github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6 // indirect
|
||||
github.com/muesli/cancelreader v0.2.2 // indirect
|
||||
github.com/muesli/termenv v0.16.0 // indirect
|
||||
github.com/rivo/uniseg v0.4.7 // indirect
|
||||
github.com/tidwall/gjson v1.18.0 // indirect
|
||||
github.com/tidwall/match v1.2.0 // indirect
|
||||
github.com/tidwall/pretty v1.2.1 // indirect
|
||||
github.com/tidwall/sjson v1.2.5 // indirect
|
||||
github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e // indirect
|
||||
github.com/yosida95/uritemplate/v3 v3.0.2 // indirect
|
||||
go.opentelemetry.io/auto/sdk v1.2.1 // indirect
|
||||
go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.64.0 // indirect
|
||||
go.opentelemetry.io/otel v1.39.0 // indirect
|
||||
go.opentelemetry.io/otel/metric v1.39.0 // indirect
|
||||
go.opentelemetry.io/otel/trace v1.39.0 // indirect
|
||||
golang.org/x/crypto v0.47.0 // indirect
|
||||
golang.org/x/net v0.49.0 // indirect
|
||||
golang.org/x/oauth2 v0.32.0 // indirect
|
||||
golang.org/x/sys v0.40.0 // indirect
|
||||
golang.org/x/text v0.33.0 // indirect
|
||||
google.golang.org/genproto/googleapis/rpc v0.0.0-20260122232226-8e98ce8d340d // indirect
|
||||
google.golang.org/grpc v1.78.0 // indirect
|
||||
google.golang.org/protobuf v1.36.11 // indirect
|
||||
)
|
||||
@@ -1,145 +0,0 @@
|
||||
cloud.google.com/go v0.123.0 h1:2NAUJwPR47q+E35uaJeYoNhuNEM9kM8SjgRgdeOJUSE=
|
||||
cloud.google.com/go v0.123.0/go.mod h1:xBoMV08QcqUGuPW65Qfm1o9Y4zKZBpGS+7bImXLTAZU=
|
||||
cloud.google.com/go/auth v0.18.1 h1:IwTEx92GFUo2pJ6Qea0EU3zYvKnTAeRCODxfA/G5UWs=
|
||||
cloud.google.com/go/auth v0.18.1/go.mod h1:GfTYoS9G3CWpRA3Va9doKN9mjPGRS+v41jmZAhBzbrA=
|
||||
cloud.google.com/go/compute/metadata v0.9.0 h1:pDUj4QMoPejqq20dK0Pg2N4yG9zIkYGdBtwLoEkH9Zs=
|
||||
cloud.google.com/go/compute/metadata v0.9.0/go.mod h1:E0bWwX5wTnLPedCKqk3pJmVgCBSM6qQI1yTBdEb3C10=
|
||||
github.com/atotto/clipboard v0.1.4 h1:EH0zSVneZPSuFR11BlR9YppQTVDbh5+16AmcJi4g1z4=
|
||||
github.com/atotto/clipboard v0.1.4/go.mod h1:ZY9tmq7sm5xIbd9bOK4onWV4S6X0u6GY7Vn0Yu86PYI=
|
||||
github.com/aymanbagabas/go-osc52/v2 v2.0.1 h1:HwpRHbFMcZLEVr42D4p7XBqjyuxQH5SMiErDT4WkJ2k=
|
||||
github.com/aymanbagabas/go-osc52/v2 v2.0.1/go.mod h1:uYgXzlJ7ZpABp8OJ+exZzJJhRNQ2ASbcXHWsFqH8hp8=
|
||||
github.com/cespare/xxhash/v2 v2.3.0 h1:UL815xU9SqsFlibzuggzjXhog7bL6oX9BbNZnL2UFvs=
|
||||
github.com/cespare/xxhash/v2 v2.3.0/go.mod h1:VGX0DQ3Q6kWi7AoAeZDth3/j3BFtOZR5XLFGgcrjCOs=
|
||||
github.com/charmbracelet/bubbles v0.21.0 h1:9TdC97SdRVg/1aaXNVWfFH3nnLAwOXr8Fn6u6mfQdFs=
|
||||
github.com/charmbracelet/bubbles v0.21.0/go.mod h1:HF+v6QUR4HkEpz62dx7ym2xc71/KBHg+zKwJtMw+qtg=
|
||||
github.com/charmbracelet/bubbletea v1.3.10 h1:otUDHWMMzQSB0Pkc87rm691KZ3SWa4KUlvF9nRvCICw=
|
||||
github.com/charmbracelet/bubbletea v1.3.10/go.mod h1:ORQfo0fk8U+po9VaNvnV95UPWA1BitP1E0N6xJPlHr4=
|
||||
github.com/charmbracelet/colorprofile v0.2.3-0.20250311203215-f60798e515dc h1:4pZI35227imm7yK2bGPcfpFEmuY1gc2YSTShr4iJBfs=
|
||||
github.com/charmbracelet/colorprofile v0.2.3-0.20250311203215-f60798e515dc/go.mod h1:X4/0JoqgTIPSFcRA/P6INZzIuyqdFY5rm8tb41s9okk=
|
||||
github.com/charmbracelet/lipgloss v1.1.0 h1:vYXsiLHVkK7fp74RkV7b2kq9+zDLoEU4MZoFqR/noCY=
|
||||
github.com/charmbracelet/lipgloss v1.1.0/go.mod h1:/6Q8FR2o+kj8rz4Dq0zQc3vYf7X+B0binUUBwA0aL30=
|
||||
github.com/charmbracelet/x/ansi v0.10.1 h1:rL3Koar5XvX0pHGfovN03f5cxLbCF2YvLeyz7D2jVDQ=
|
||||
github.com/charmbracelet/x/ansi v0.10.1/go.mod h1:3RQDQ6lDnROptfpWuUVIUG64bD2g2BgntdxH0Ya5TeE=
|
||||
github.com/charmbracelet/x/cellbuf v0.0.13-0.20250311204145-2c3ea96c31dd h1:vy0GVL4jeHEwG5YOXDmi86oYw2yuYUGqz6a8sLwg0X8=
|
||||
github.com/charmbracelet/x/cellbuf v0.0.13-0.20250311204145-2c3ea96c31dd/go.mod h1:xe0nKWGd3eJgtqZRaN9RjMtK7xUYchjzPr7q6kcvCCs=
|
||||
github.com/charmbracelet/x/term v0.2.1 h1:AQeHeLZ1OqSXhrAWpYUtZyX1T3zVxfpZuEQMIQaGIAQ=
|
||||
github.com/charmbracelet/x/term v0.2.1/go.mod h1:oQ4enTYFV7QN4m0i9mzHrViD7TQKvNEEkHUMCmsxdUg=
|
||||
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
|
||||
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
|
||||
github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f h1:Y/CXytFA4m6baUTXGLOoWe4PQhGxaX0KpnayAqC48p4=
|
||||
github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f/go.mod h1:vw97MGsxSvLiUE2X8qFplwetxpGLQrlU1Q9AUEIzCaM=
|
||||
github.com/felixge/httpsnoop v1.0.4 h1:NFTV2Zj1bL4mc9sqWACXbQFVBBg2W3GPvqp8/ESS2Wg=
|
||||
github.com/felixge/httpsnoop v1.0.4/go.mod h1:m8KPJKqk1gH5J9DgRY2ASl2lWCfGKXixSwevea8zH2U=
|
||||
github.com/go-logr/logr v1.2.2/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A=
|
||||
github.com/go-logr/logr v1.4.3 h1:CjnDlHq8ikf6E492q6eKboGOC0T8CDaOvkHCIg8idEI=
|
||||
github.com/go-logr/logr v1.4.3/go.mod h1:9T104GzyrTigFIr8wt5mBrctHMim0Nb2HLGrmQ40KvY=
|
||||
github.com/go-logr/stdr v1.2.2 h1:hSWxHoqTgW2S2qGc0LTAI563KZ5YKYRhT3MFKZMbjag=
|
||||
github.com/go-logr/stdr v1.2.2/go.mod h1:mMo/vtBO5dYbehREoey6XUKy/eSumjCCveDpRre4VKE=
|
||||
github.com/golang-jwt/jwt/v5 v5.2.2 h1:Rl4B7itRWVtYIHFrSNd7vhTiz9UpLdi6gZhZ3wEeDy8=
|
||||
github.com/golang-jwt/jwt/v5 v5.2.2/go.mod h1:pqrtFR0X4osieyHYxtmOUWsAWrfe1Q5UVIyoH402zdk=
|
||||
github.com/golang/protobuf v1.5.4 h1:i7eJL8qZTpSEXOPTxNKhASYpMn+8e5Q6AdndVa1dWek=
|
||||
github.com/golang/protobuf v1.5.4/go.mod h1:lnTiLA8Wa4RWRcIUkrtSVa5nRhsEGBg48fD6rSs7xps=
|
||||
github.com/google/go-cmp v0.7.0 h1:wk8382ETsv4JYUZwIsn6YpYiWiBsYLSJiTsyBybVuN8=
|
||||
github.com/google/go-cmp v0.7.0/go.mod h1:pXiqmnSA92OHEEa9HXL2W4E7lf9JzCmGVUdgjX3N/iU=
|
||||
github.com/google/jsonschema-go v0.3.0 h1:6AH2TxVNtk3IlvkkhjrtbUc4S8AvO0Xii0DxIygDg+Q=
|
||||
github.com/google/jsonschema-go v0.3.0/go.mod h1:r5quNTdLOYEz95Ru18zA0ydNbBuYoo9tgaYcxEYhJVE=
|
||||
github.com/google/s2a-go v0.1.9 h1:LGD7gtMgezd8a/Xak7mEWL0PjoTQFvpRudN895yqKW0=
|
||||
github.com/google/s2a-go v0.1.9/go.mod h1:YA0Ei2ZQL3acow2O62kdp9UlnvMmU7kA6Eutn0dXayM=
|
||||
github.com/google/uuid v1.6.0 h1:NIvaJDMOsjHA8n1jAhLSgzrAzy1Hgr+hNrb57e+94F0=
|
||||
github.com/google/uuid v1.6.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
|
||||
github.com/googleapis/enterprise-certificate-proxy v0.3.11 h1:vAe81Msw+8tKUxi2Dqh/NZMz7475yUvmRIkXr4oN2ao=
|
||||
github.com/googleapis/enterprise-certificate-proxy v0.3.11/go.mod h1:RFV7MUdlb7AgEq2v7FmMCfeSMCllAzWxFgRdusoGks8=
|
||||
github.com/googleapis/gax-go/v2 v2.16.0 h1:iHbQmKLLZrexmb0OSsNGTeSTS0HO4YvFOG8g5E4Zd0Y=
|
||||
github.com/googleapis/gax-go/v2 v2.16.0/go.mod h1:o1vfQjjNZn4+dPnRdl/4ZD7S9414Y4xA+a/6Icj6l14=
|
||||
github.com/gorilla/websocket v1.5.3 h1:saDtZ6Pbx/0u+bgYQ3q96pZgCzfhKXGPqt7kZ72aNNg=
|
||||
github.com/gorilla/websocket v1.5.3/go.mod h1:YR8l580nyteQvAITg2hZ9XVh4b55+EU/adAjf1fMHhE=
|
||||
github.com/joho/godotenv v1.5.1 h1:7eLL/+HRGLY0ldzfGMeQkb7vMd0as4CfYvUVzLqw0N0=
|
||||
github.com/joho/godotenv v1.5.1/go.mod h1:f4LDr5Voq0i2e/R5DDNOoa2zzDfwtkZa6DnEwAbqwq4=
|
||||
github.com/liushuangls/go-anthropic/v2 v2.17.0 h1:iBA6h7aghi1q86owEQ95XE2R2MF/0dQ7bCxtwTxOg4c=
|
||||
github.com/liushuangls/go-anthropic/v2 v2.17.0/go.mod h1:a550cJXPoTG2FL3DvfKG2zzD5O2vjgvo4tHtoGPzFLU=
|
||||
github.com/lucasb-eyer/go-colorful v1.2.0 h1:1nnpGOrhyZZuNyfu1QjKiUICQ74+3FNCN69Aj6K7nkY=
|
||||
github.com/lucasb-eyer/go-colorful v1.2.0/go.mod h1:R4dSotOR9KMtayYi1e77YzuveK+i7ruzyGqttikkLy0=
|
||||
github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY=
|
||||
github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
|
||||
github.com/mattn/go-localereader v0.0.1 h1:ygSAOl7ZXTx4RdPYinUpg6W99U8jWvWi9Ye2JC/oIi4=
|
||||
github.com/mattn/go-localereader v0.0.1/go.mod h1:8fBrzywKY7BI3czFoHkuzRoWE9C+EiG4R1k4Cjx5p88=
|
||||
github.com/mattn/go-runewidth v0.0.16 h1:E5ScNMtiwvlvB5paMFdw9p4kSQzbXFikJ5SQO6TULQc=
|
||||
github.com/mattn/go-runewidth v0.0.16/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
|
||||
github.com/modelcontextprotocol/go-sdk v1.2.0 h1:Y23co09300CEk8iZ/tMxIX1dVmKZkzoSBZOpJwUnc/s=
|
||||
github.com/modelcontextprotocol/go-sdk v1.2.0/go.mod h1:6fM3LCm3yV7pAs8isnKLn07oKtB0MP9LHd3DfAcKw10=
|
||||
github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6 h1:ZK8zHtRHOkbHy6Mmr5D264iyp3TiX5OmNcI5cIARiQI=
|
||||
github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6/go.mod h1:CJlz5H+gyd6CUWT45Oy4q24RdLyn7Md9Vj2/ldJBSIo=
|
||||
github.com/muesli/cancelreader v0.2.2 h1:3I4Kt4BQjOR54NavqnDogx/MIoWBFa0StPA8ELUXHmA=
|
||||
github.com/muesli/cancelreader v0.2.2/go.mod h1:3XuTXfFS2VjM+HTLZY9Ak0l6eUKfijIfMUZ4EgX0QYo=
|
||||
github.com/muesli/termenv v0.16.0 h1:S5AlUN9dENB57rsbnkPyfdGuWIlkmzJjbFf0Tf5FWUc=
|
||||
github.com/muesli/termenv v0.16.0/go.mod h1:ZRfOIKPFDYQoDFF4Olj7/QJbW60Ol/kL1pU3VfY/Cnk=
|
||||
github.com/openai/openai-go v1.12.0 h1:NBQCnXzqOTv5wsgNC36PrFEiskGfO5wccfCWDo9S1U0=
|
||||
github.com/openai/openai-go v1.12.0/go.mod h1:g461MYGXEXBVdV5SaR/5tNzNbSfwTBBefwc+LlDCK0Y=
|
||||
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
|
||||
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
|
||||
github.com/rivo/uniseg v0.2.0/go.mod h1:J6wj4VEh+S6ZtnVlnTBMWIodfgj8LQOQFoIToxlJtxc=
|
||||
github.com/rivo/uniseg v0.4.7 h1:WUdvkW8uEhrYfLC4ZzdpI2ztxP1I582+49Oc5Mq64VQ=
|
||||
github.com/rivo/uniseg v0.4.7/go.mod h1:FN3SvrM+Zdj16jyLfmOkMNblXMcoc8DfTHruCPUcx88=
|
||||
github.com/stretchr/testify v1.11.1 h1:7s2iGBzp5EwR7/aIZr8ao5+dra3wiQyKjjFuvgVKu7U=
|
||||
github.com/stretchr/testify v1.11.1/go.mod h1:wZwfW3scLgRK+23gO65QZefKpKQRnfz6sD981Nm4B6U=
|
||||
github.com/tidwall/gjson v1.14.2/go.mod h1:/wbyibRr2FHMks5tjHJ5F8dMZh3AcwJEMf5vlfC0lxk=
|
||||
github.com/tidwall/gjson v1.18.0 h1:FIDeeyB800efLX89e5a8Y0BNH+LOngJyGrIWxG2FKQY=
|
||||
github.com/tidwall/gjson v1.18.0/go.mod h1:/wbyibRr2FHMks5tjHJ5F8dMZh3AcwJEMf5vlfC0lxk=
|
||||
github.com/tidwall/match v1.1.1/go.mod h1:eRSPERbgtNPcGhD8UCthc6PmLEQXEWd3PRB5JTxsfmM=
|
||||
github.com/tidwall/match v1.2.0 h1:0pt8FlkOwjN2fPt4bIl4BoNxb98gGHN2ObFEDkrfZnM=
|
||||
github.com/tidwall/match v1.2.0/go.mod h1:eRSPERbgtNPcGhD8UCthc6PmLEQXEWd3PRB5JTxsfmM=
|
||||
github.com/tidwall/pretty v1.2.0/go.mod h1:ITEVvHYasfjBbM0u2Pg8T2nJnzm8xPwvNhhsoaGGjNU=
|
||||
github.com/tidwall/pretty v1.2.1 h1:qjsOFOWWQl+N3RsoF5/ssm1pHmJJwhjlSbZ51I6wMl4=
|
||||
github.com/tidwall/pretty v1.2.1/go.mod h1:ITEVvHYasfjBbM0u2Pg8T2nJnzm8xPwvNhhsoaGGjNU=
|
||||
github.com/tidwall/sjson v1.2.5 h1:kLy8mja+1c9jlljvWTlSazM7cKDRfJuR/bOJhcY5NcY=
|
||||
github.com/tidwall/sjson v1.2.5/go.mod h1:Fvgq9kS/6ociJEDnK0Fk1cpYF4FIW6ZF7LAe+6jwd28=
|
||||
github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e h1:JVG44RsyaB9T2KIHavMF/ppJZNG9ZpyihvCd0w101no=
|
||||
github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e/go.mod h1:RbqR21r5mrJuqunuUZ/Dhy/avygyECGrLceyNeo4LiM=
|
||||
github.com/yosida95/uritemplate/v3 v3.0.2 h1:Ed3Oyj9yrmi9087+NczuL5BwkIc4wvTb5zIM+UJPGz4=
|
||||
github.com/yosida95/uritemplate/v3 v3.0.2/go.mod h1:ILOh0sOhIJR3+L/8afwt/kE++YT040gmv5BQTMR2HP4=
|
||||
go.opentelemetry.io/auto/sdk v1.2.1 h1:jXsnJ4Lmnqd11kwkBV2LgLoFMZKizbCi5fNZ/ipaZ64=
|
||||
go.opentelemetry.io/auto/sdk v1.2.1/go.mod h1:KRTj+aOaElaLi+wW1kO/DZRXwkF4C5xPbEe3ZiIhN7Y=
|
||||
go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.64.0 h1:ssfIgGNANqpVFCndZvcuyKbl0g+UAVcbBcqGkG28H0Y=
|
||||
go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.64.0/go.mod h1:GQ/474YrbE4Jx8gZ4q5I4hrhUzM6UPzyrqJYV2AqPoQ=
|
||||
go.opentelemetry.io/otel v1.39.0 h1:8yPrr/S0ND9QEfTfdP9V+SiwT4E0G7Y5MO7p85nis48=
|
||||
go.opentelemetry.io/otel v1.39.0/go.mod h1:kLlFTywNWrFyEdH0oj2xK0bFYZtHRYUdv1NklR/tgc8=
|
||||
go.opentelemetry.io/otel/metric v1.39.0 h1:d1UzonvEZriVfpNKEVmHXbdf909uGTOQjA0HF0Ls5Q0=
|
||||
go.opentelemetry.io/otel/metric v1.39.0/go.mod h1:jrZSWL33sD7bBxg1xjrqyDjnuzTUB0x1nBERXd7Ftcs=
|
||||
go.opentelemetry.io/otel/sdk v1.39.0 h1:nMLYcjVsvdui1B/4FRkwjzoRVsMK8uL/cj0OyhKzt18=
|
||||
go.opentelemetry.io/otel/sdk v1.39.0/go.mod h1:vDojkC4/jsTJsE+kh+LXYQlbL8CgrEcwmt1ENZszdJE=
|
||||
go.opentelemetry.io/otel/sdk/metric v1.39.0 h1:cXMVVFVgsIf2YL6QkRF4Urbr/aMInf+2WKg+sEJTtB8=
|
||||
go.opentelemetry.io/otel/sdk/metric v1.39.0/go.mod h1:xq9HEVH7qeX69/JnwEfp6fVq5wosJsY1mt4lLfYdVew=
|
||||
go.opentelemetry.io/otel/trace v1.39.0 h1:2d2vfpEDmCJ5zVYz7ijaJdOF59xLomrvj7bjt6/qCJI=
|
||||
go.opentelemetry.io/otel/trace v1.39.0/go.mod h1:88w4/PnZSazkGzz/w84VHpQafiU4EtqqlVdxWy+rNOA=
|
||||
golang.org/x/crypto v0.47.0 h1:V6e3FRj+n4dbpw86FJ8Fv7XVOql7TEwpHapKoMJ/GO8=
|
||||
golang.org/x/crypto v0.47.0/go.mod h1:ff3Y9VzzKbwSSEzWqJsJVBnWmRwRSHt/6Op5n9bQc4A=
|
||||
golang.org/x/exp v0.0.0-20220909182711-5c715a9e8561 h1:MDc5xs78ZrZr3HMQugiXOAkSZtfTpbJLDr/lwfgO53E=
|
||||
golang.org/x/exp v0.0.0-20220909182711-5c715a9e8561/go.mod h1:cyybsKvd6eL0RnXn6p/Grxp8F5bW7iYuBgsNCOHpMYE=
|
||||
golang.org/x/image v0.35.0 h1:LKjiHdgMtO8z7Fh18nGY6KDcoEtVfsgLDPeLyguqb7I=
|
||||
golang.org/x/image v0.35.0/go.mod h1:MwPLTVgvxSASsxdLzKrl8BRFuyqMyGhLwmC+TO1Sybk=
|
||||
golang.org/x/net v0.49.0 h1:eeHFmOGUTtaaPSGNmjBKpbng9MulQsJURQUAfUwY++o=
|
||||
golang.org/x/net v0.49.0/go.mod h1:/ysNB2EvaqvesRkuLAyjI1ycPZlQHM3q01F02UY/MV8=
|
||||
golang.org/x/oauth2 v0.32.0 h1:jsCblLleRMDrxMN29H3z/k1KliIvpLgCkE6R8FXXNgY=
|
||||
golang.org/x/oauth2 v0.32.0/go.mod h1:lzm5WQJQwKZ3nwavOZ3IS5Aulzxi68dUSgRHujetwEA=
|
||||
golang.org/x/sync v0.19.0 h1:vV+1eWNmZ5geRlYjzm2adRgW2/mcpevXNg50YZtPCE4=
|
||||
golang.org/x/sync v0.19.0/go.mod h1:9KTHXmSnoGruLpwFjVSX0lNNA75CykiMECbovNTZqGI=
|
||||
golang.org/x/sys v0.0.0-20210809222454-d867a43fc93e/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/sys v0.40.0 h1:DBZZqJ2Rkml6QMQsZywtnjnnGvHza6BTfYFWY9kjEWQ=
|
||||
golang.org/x/sys v0.40.0/go.mod h1:OgkHotnGiDImocRcuBABYBEXf8A9a87e/uXjp9XT3ks=
|
||||
golang.org/x/text v0.33.0 h1:B3njUFyqtHDUI5jMn1YIr5B0IE2U0qck04r6d4KPAxE=
|
||||
golang.org/x/text v0.33.0/go.mod h1:LuMebE6+rBincTi9+xWTY8TztLzKHc/9C1uBCG27+q8=
|
||||
golang.org/x/tools v0.40.0 h1:yLkxfA+Qnul4cs9QA3KnlFu0lVmd8JJfoq+E41uSutA=
|
||||
golang.org/x/tools v0.40.0/go.mod h1:Ik/tzLRlbscWpqqMRjyWYDisX8bG13FrdXp3o4Sr9lc=
|
||||
gonum.org/v1/gonum v0.16.0 h1:5+ul4Swaf3ESvrOnidPp4GZbzf0mxVQpDCYUQE7OJfk=
|
||||
gonum.org/v1/gonum v0.16.0/go.mod h1:fef3am4MQ93R2HHpKnLk4/Tbh/s0+wqD5nfa6Pnwy4E=
|
||||
google.golang.org/genai v1.43.0 h1:8vhqhzJNZu1U94e2m+KvDq/TUUjSmDrs1aKkvTa8SoM=
|
||||
google.golang.org/genai v1.43.0/go.mod h1:A3kkl0nyBjyFlNjgxIwKq70julKbIxpSxqKO5gw/gmk=
|
||||
google.golang.org/genproto/googleapis/rpc v0.0.0-20260122232226-8e98ce8d340d h1:xXzuihhT3gL/ntduUZwHECzAn57E8dA6l8SOtYWdD8Q=
|
||||
google.golang.org/genproto/googleapis/rpc v0.0.0-20260122232226-8e98ce8d340d/go.mod h1:j9x/tPzZkyxcgEFkiKEEGxfvyumM01BEtsW8xzOahRQ=
|
||||
google.golang.org/grpc v1.78.0 h1:K1XZG/yGDJnzMdd/uZHAkVqJE+xIDOcmdSFZkBUicNc=
|
||||
google.golang.org/grpc v1.78.0/go.mod h1:I47qjTo4OKbMkjA/aOOwxDIiPSBofUtQUI5EfpWvW7U=
|
||||
google.golang.org/protobuf v1.36.11 h1:fV6ZwhNocDyBLK0dj+fg8ektcVegBBuEolpbTQyBNVE=
|
||||
google.golang.org/protobuf v1.36.11/go.mod h1:HTf+CrKn2C3g5S8VImy6tdcUvCska2kB7j23XfzDpco=
|
||||
gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
|
||||
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
|
||||
@@ -1,165 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/base64"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
|
||||
"google.golang.org/genai"
|
||||
)
|
||||
|
||||
type googleImpl struct {
|
||||
key string
|
||||
model string
|
||||
}
|
||||
|
||||
var _ LLM = googleImpl{}
|
||||
|
||||
func (g googleImpl) ModelVersion(modelVersion string) (ChatCompletion, error) {
|
||||
g.model = modelVersion
|
||||
|
||||
return g, nil
|
||||
}
|
||||
|
||||
func (g googleImpl) requestToContents(in Request) ([]*genai.Content, *genai.GenerateContentConfig) {
|
||||
var contents []*genai.Content
|
||||
var cfg genai.GenerateContentConfig
|
||||
|
||||
for _, tool := range in.Toolbox.Functions() {
|
||||
cfg.Tools = append(cfg.Tools, &genai.Tool{
|
||||
FunctionDeclarations: []*genai.FunctionDeclaration{
|
||||
{
|
||||
Name: tool.Name,
|
||||
Description: tool.Description,
|
||||
Parameters: tool.Parameters.GoogleParameters(),
|
||||
},
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
if in.Toolbox.RequiresTool() {
|
||||
cfg.ToolConfig = &genai.ToolConfig{FunctionCallingConfig: &genai.FunctionCallingConfig{
|
||||
Mode: genai.FunctionCallingConfigModeAny,
|
||||
}}
|
||||
}
|
||||
|
||||
for _, c := range in.Messages {
|
||||
var role genai.Role
|
||||
switch c.Role {
|
||||
case RoleAssistant, RoleSystem:
|
||||
role = genai.RoleModel
|
||||
case RoleUser:
|
||||
role = genai.RoleUser
|
||||
}
|
||||
|
||||
var parts []*genai.Part
|
||||
if c.Text != "" {
|
||||
parts = append(parts, genai.NewPartFromText(c.Text))
|
||||
}
|
||||
|
||||
for _, img := range c.Images {
|
||||
if img.Url != "" {
|
||||
// gemini does not support URLs, so we need to download the image and convert it to a blob
|
||||
resp, err := http.Get(img.Url)
|
||||
if err != nil {
|
||||
panic(fmt.Sprintf("error downloading image: %v", err))
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
if resp.ContentLength > 20*1024*1024 {
|
||||
panic(fmt.Sprintf("image size exceeds 20MB: %d bytes", resp.ContentLength))
|
||||
}
|
||||
|
||||
data, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
panic(fmt.Sprintf("error reading image data: %v", err))
|
||||
}
|
||||
|
||||
mimeType := http.DetectContentType(data)
|
||||
switch mimeType {
|
||||
case "image/jpeg", "image/png", "image/gif":
|
||||
// MIME type is valid
|
||||
default:
|
||||
panic(fmt.Sprintf("unsupported image MIME type: %s", mimeType))
|
||||
}
|
||||
|
||||
parts = append(parts, genai.NewPartFromBytes(data, mimeType))
|
||||
} else {
|
||||
b, e := base64.StdEncoding.DecodeString(img.Base64)
|
||||
if e != nil {
|
||||
panic(fmt.Sprintf("error decoding base64: %v", e))
|
||||
}
|
||||
|
||||
parts = append(parts, genai.NewPartFromBytes(b, img.ContentType))
|
||||
}
|
||||
}
|
||||
|
||||
contents = append(contents, genai.NewContentFromParts(parts, role))
|
||||
}
|
||||
|
||||
return contents, &cfg
|
||||
}
|
||||
|
||||
func (g googleImpl) responseToLLMResponse(in *genai.GenerateContentResponse) (Response, error) {
|
||||
res := Response{}
|
||||
|
||||
for _, c := range in.Candidates {
|
||||
var choice ResponseChoice
|
||||
var set = false
|
||||
if c.Content != nil {
|
||||
for _, p := range c.Content.Parts {
|
||||
if p.Text != "" {
|
||||
set = true
|
||||
choice.Content = p.Text
|
||||
} else if p.FunctionCall != nil {
|
||||
v := p.FunctionCall
|
||||
b, e := json.Marshal(v.Args)
|
||||
if e != nil {
|
||||
return Response{}, fmt.Errorf("error marshalling args: %w", e)
|
||||
}
|
||||
|
||||
call := ToolCall{
|
||||
ID: v.Name,
|
||||
FunctionCall: FunctionCall{
|
||||
Name: v.Name,
|
||||
Arguments: string(b),
|
||||
},
|
||||
}
|
||||
|
||||
choice.Calls = append(choice.Calls, call)
|
||||
set = true
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if set {
|
||||
choice.Role = RoleAssistant
|
||||
res.Choices = append(res.Choices, choice)
|
||||
}
|
||||
}
|
||||
|
||||
return res, nil
|
||||
}
|
||||
|
||||
func (g googleImpl) ChatComplete(ctx context.Context, req Request) (Response, error) {
|
||||
cl, err := genai.NewClient(ctx, &genai.ClientConfig{
|
||||
APIKey: g.key,
|
||||
Backend: genai.BackendGeminiAPI,
|
||||
})
|
||||
|
||||
if err != nil {
|
||||
return Response{}, fmt.Errorf("error creating genai client: %w", err)
|
||||
}
|
||||
|
||||
contents, cfg := g.requestToContents(req)
|
||||
|
||||
resp, err := cl.Models.GenerateContent(ctx, g.model, contents, cfg)
|
||||
if err != nil {
|
||||
return Response{}, fmt.Errorf("error generating content: %w", err)
|
||||
}
|
||||
|
||||
return g.responseToLLMResponse(resp)
|
||||
}
|
||||
@@ -1,114 +0,0 @@
|
||||
package imageutil
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"encoding/base64"
|
||||
"fmt"
|
||||
"image"
|
||||
"image/gif"
|
||||
"image/jpeg"
|
||||
"net/http"
|
||||
|
||||
"golang.org/x/image/draw"
|
||||
)
|
||||
|
||||
// CompressImage takes a base-64-encoded image (JPEG, PNG or GIF) and returns
|
||||
// a base-64-encoded version that is at most maxLength in size, or an error.
|
||||
func CompressImage(b64 string, maxLength int) (string, string, error) {
|
||||
raw, err := base64.StdEncoding.DecodeString(b64)
|
||||
if err != nil {
|
||||
return "", "", fmt.Errorf("base64 decode: %w", err)
|
||||
}
|
||||
|
||||
mime := http.DetectContentType(raw)
|
||||
if len(raw) <= maxLength {
|
||||
return b64, mime, nil // small enough already
|
||||
}
|
||||
|
||||
switch mime {
|
||||
case "image/gif":
|
||||
return compressGIF(raw, maxLength)
|
||||
|
||||
default: // jpeg, png, webp, etc. -> treat as raster
|
||||
return compressRaster(raw, maxLength)
|
||||
}
|
||||
}
|
||||
|
||||
// ---------- Raster path (jpeg / png / single-frame gif) ----------
|
||||
|
||||
func compressRaster(src []byte, maxLength int) (string, string, error) {
|
||||
img, _, err := image.Decode(bytes.NewReader(src))
|
||||
if err != nil {
|
||||
return "", "", fmt.Errorf("decode raster: %w", err)
|
||||
}
|
||||
|
||||
quality := 95
|
||||
for {
|
||||
var buf bytes.Buffer
|
||||
if err := jpeg.Encode(&buf, img, &jpeg.Options{Quality: quality}); err != nil {
|
||||
return "", "", fmt.Errorf("jpeg encode: %w", err)
|
||||
}
|
||||
if buf.Len() <= maxLength {
|
||||
return base64.StdEncoding.EncodeToString(buf.Bytes()), "image/jpeg", nil
|
||||
}
|
||||
|
||||
if quality > 20 {
|
||||
quality -= 5
|
||||
continue
|
||||
}
|
||||
|
||||
// down-scale 80%
|
||||
b := img.Bounds()
|
||||
if b.Dx() < 100 || b.Dy() < 100 {
|
||||
return "", "", fmt.Errorf("cannot compress below %.02fMiB without destroying image", float64(maxLength)/1048576.0)
|
||||
}
|
||||
dst := image.NewRGBA(image.Rect(0, 0, int(float64(b.Dx())*0.8), int(float64(b.Dy())*0.8)))
|
||||
draw.ApproxBiLinear.Scale(dst, dst.Bounds(), img, b, draw.Over, nil)
|
||||
img = dst
|
||||
quality = 95 // restart ladder
|
||||
}
|
||||
}
|
||||
|
||||
// ---------- Animated GIF path ----------
|
||||
|
||||
func compressGIF(src []byte, maxLength int) (string, string, error) {
|
||||
g, err := gif.DecodeAll(bytes.NewReader(src))
|
||||
if err != nil {
|
||||
return "", "", fmt.Errorf("gif decode: %w", err)
|
||||
}
|
||||
|
||||
for {
|
||||
var buf bytes.Buffer
|
||||
if err := gif.EncodeAll(&buf, g); err != nil {
|
||||
return "", "", fmt.Errorf("gif encode: %w", err)
|
||||
}
|
||||
if buf.Len() <= maxLength {
|
||||
return base64.StdEncoding.EncodeToString(buf.Bytes()), "image/gif", nil
|
||||
}
|
||||
|
||||
// down-scale every frame by 80%
|
||||
w, h := g.Config.Width, g.Config.Height
|
||||
if w < 100 || h < 100 {
|
||||
return "", "", fmt.Errorf("cannot compress animated GIF below 5 MiB without excessive quality loss")
|
||||
}
|
||||
|
||||
nw, nh := int(float64(w)*0.8), int(float64(h)*0.8)
|
||||
for i, frm := range g.Image {
|
||||
// convert paletted frame -> RGBA for scaling
|
||||
rgba := image.NewRGBA(frm.Bounds())
|
||||
draw.Draw(rgba, rgba.Bounds(), frm, frm.Bounds().Min, draw.Src)
|
||||
|
||||
// scaled destination
|
||||
dst := image.NewRGBA(image.Rect(0, 0, nw, nh))
|
||||
draw.ApproxBiLinear.Scale(dst, dst.Bounds(), rgba, rgba.Bounds(), draw.Over, nil)
|
||||
|
||||
// quantize back to paletted using default encoder quantizer
|
||||
paletted := image.NewPaletted(dst.Bounds(), nil)
|
||||
draw.FloydSteinberg.Draw(paletted, paletted.Bounds(), dst, dst.Bounds().Min)
|
||||
|
||||
g.Image[i] = paletted
|
||||
}
|
||||
g.Config.Width, g.Config.Height = nw, nh
|
||||
// loop back and test size again ...
|
||||
}
|
||||
}
|
||||
@@ -1,30 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"context"
|
||||
)
|
||||
|
||||
// ChatCompletion is the interface for chat completion.
|
||||
type ChatCompletion interface {
|
||||
ChatComplete(ctx context.Context, req Request) (Response, error)
|
||||
}
|
||||
|
||||
// LLM is the interface for language model providers.
|
||||
type LLM interface {
|
||||
ModelVersion(modelVersion string) (ChatCompletion, error)
|
||||
}
|
||||
|
||||
// OpenAI creates a new OpenAI LLM provider with the given API key.
|
||||
func OpenAI(key string) LLM {
|
||||
return openaiImpl{key: key}
|
||||
}
|
||||
|
||||
// Anthropic creates a new Anthropic LLM provider with the given API key.
|
||||
func Anthropic(key string) LLM {
|
||||
return anthropicImpl{key: key}
|
||||
}
|
||||
|
||||
// Google creates a new Google LLM provider with the given API key.
|
||||
func Google(key string) LLM {
|
||||
return googleImpl{key: key}
|
||||
}
|
||||
@@ -1,238 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"os"
|
||||
"os/exec"
|
||||
"sync"
|
||||
|
||||
"github.com/modelcontextprotocol/go-sdk/mcp"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/schema"
|
||||
)
|
||||
|
||||
// MCPServer represents a connection to an MCP server.
|
||||
// It manages the lifecycle of the connection and provides access to the server's tools.
|
||||
type MCPServer struct {
|
||||
// Name is a friendly name for this server (used for logging/identification)
|
||||
Name string
|
||||
|
||||
// Command is the command to run the MCP server (for stdio transport)
|
||||
Command string
|
||||
|
||||
// Args are arguments to pass to the command
|
||||
Args []string
|
||||
|
||||
// Env are environment variables to set for the command (in addition to current environment)
|
||||
Env []string
|
||||
|
||||
// URL is the URL for SSE or HTTP transport (alternative to Command)
|
||||
URL string
|
||||
|
||||
// Transport specifies the transport type: "stdio" (default), "sse", or "http"
|
||||
Transport string
|
||||
|
||||
client *mcp.Client
|
||||
session *mcp.ClientSession
|
||||
tools map[string]*mcp.Tool // tool name -> tool definition
|
||||
mu sync.RWMutex
|
||||
}
|
||||
|
||||
// Connect establishes a connection to the MCP server.
|
||||
func (m *MCPServer) Connect(ctx context.Context) error {
|
||||
m.mu.Lock()
|
||||
defer m.mu.Unlock()
|
||||
|
||||
if m.session != nil {
|
||||
return nil // Already connected
|
||||
}
|
||||
|
||||
m.client = mcp.NewClient(&mcp.Implementation{
|
||||
Name: "go-llm",
|
||||
Version: "1.0.0",
|
||||
}, nil)
|
||||
|
||||
var transport mcp.Transport
|
||||
|
||||
switch m.Transport {
|
||||
case "sse":
|
||||
transport = &mcp.SSEClientTransport{
|
||||
Endpoint: m.URL,
|
||||
}
|
||||
case "http":
|
||||
transport = &mcp.StreamableClientTransport{
|
||||
Endpoint: m.URL,
|
||||
}
|
||||
default: // "stdio" or empty
|
||||
cmd := exec.Command(m.Command, m.Args...)
|
||||
cmd.Env = append(os.Environ(), m.Env...)
|
||||
transport = &mcp.CommandTransport{
|
||||
Command: cmd,
|
||||
}
|
||||
}
|
||||
|
||||
session, err := m.client.Connect(ctx, transport, nil)
|
||||
if err != nil {
|
||||
return fmt.Errorf("failed to connect to MCP server %s: %w", m.Name, err)
|
||||
}
|
||||
|
||||
m.session = session
|
||||
|
||||
// Load tools
|
||||
m.tools = make(map[string]*mcp.Tool)
|
||||
for tool, err := range session.Tools(ctx, nil) {
|
||||
if err != nil {
|
||||
m.session.Close()
|
||||
m.session = nil
|
||||
return fmt.Errorf("failed to list tools from %s: %w", m.Name, err)
|
||||
}
|
||||
m.tools[tool.Name] = tool
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
// Close closes the connection to the MCP server.
|
||||
func (m *MCPServer) Close() error {
|
||||
m.mu.Lock()
|
||||
defer m.mu.Unlock()
|
||||
|
||||
if m.session == nil {
|
||||
return nil
|
||||
}
|
||||
|
||||
err := m.session.Close()
|
||||
m.session = nil
|
||||
m.tools = nil
|
||||
return err
|
||||
}
|
||||
|
||||
// IsConnected returns true if the server is connected.
|
||||
func (m *MCPServer) IsConnected() bool {
|
||||
m.mu.RLock()
|
||||
defer m.mu.RUnlock()
|
||||
return m.session != nil
|
||||
}
|
||||
|
||||
// Tools returns the list of tool names available from this server.
|
||||
func (m *MCPServer) Tools() []string {
|
||||
m.mu.RLock()
|
||||
defer m.mu.RUnlock()
|
||||
|
||||
var names []string
|
||||
for name := range m.tools {
|
||||
names = append(names, name)
|
||||
}
|
||||
return names
|
||||
}
|
||||
|
||||
// HasTool returns true if this server provides the named tool.
|
||||
func (m *MCPServer) HasTool(name string) bool {
|
||||
m.mu.RLock()
|
||||
defer m.mu.RUnlock()
|
||||
_, ok := m.tools[name]
|
||||
return ok
|
||||
}
|
||||
|
||||
// CallTool calls a tool on the MCP server.
|
||||
func (m *MCPServer) CallTool(ctx context.Context, name string, arguments map[string]any) (any, error) {
|
||||
m.mu.RLock()
|
||||
session := m.session
|
||||
m.mu.RUnlock()
|
||||
|
||||
if session == nil {
|
||||
return nil, fmt.Errorf("not connected to MCP server %s", m.Name)
|
||||
}
|
||||
|
||||
result, err := session.CallTool(ctx, &mcp.CallToolParams{
|
||||
Name: name,
|
||||
Arguments: arguments,
|
||||
})
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
// Process the result content
|
||||
if len(result.Content) == 0 {
|
||||
return nil, nil
|
||||
}
|
||||
|
||||
// If there's a single text content, return it as a string
|
||||
if len(result.Content) == 1 {
|
||||
if textContent, ok := result.Content[0].(*mcp.TextContent); ok {
|
||||
return textContent.Text, nil
|
||||
}
|
||||
}
|
||||
|
||||
// For multiple contents or non-text, serialize to string
|
||||
return contentToString(result.Content), nil
|
||||
}
|
||||
|
||||
// toFunction converts an MCP tool to a go-llm Function (for schema purposes only).
|
||||
func (m *MCPServer) toFunction(tool *mcp.Tool) Function {
|
||||
var inputSchema map[string]any
|
||||
if tool.InputSchema != nil {
|
||||
data, err := json.Marshal(tool.InputSchema)
|
||||
if err == nil {
|
||||
_ = json.Unmarshal(data, &inputSchema)
|
||||
}
|
||||
}
|
||||
|
||||
if inputSchema == nil {
|
||||
inputSchema = map[string]any{
|
||||
"type": "object",
|
||||
"properties": map[string]any{},
|
||||
}
|
||||
}
|
||||
|
||||
return Function{
|
||||
Name: tool.Name,
|
||||
Description: tool.Description,
|
||||
Parameters: schema.NewRaw(inputSchema),
|
||||
}
|
||||
}
|
||||
|
||||
// contentToString converts MCP content to a string representation.
|
||||
func contentToString(content []mcp.Content) string {
|
||||
var parts []string
|
||||
for _, c := range content {
|
||||
switch tc := c.(type) {
|
||||
case *mcp.TextContent:
|
||||
parts = append(parts, tc.Text)
|
||||
default:
|
||||
if data, err := json.Marshal(c); err == nil {
|
||||
parts = append(parts, string(data))
|
||||
}
|
||||
}
|
||||
}
|
||||
if len(parts) == 1 {
|
||||
return parts[0]
|
||||
}
|
||||
data, _ := json.Marshal(parts)
|
||||
return string(data)
|
||||
}
|
||||
|
||||
// WithMCPServer adds an MCP server to the toolbox.
|
||||
// The server must already be connected. Tools from the server will be available
|
||||
// for use, and tool calls will be routed to the appropriate server.
|
||||
func (t ToolBox) WithMCPServer(server *MCPServer) ToolBox {
|
||||
if t.mcpServers == nil {
|
||||
t.mcpServers = make(map[string]*MCPServer)
|
||||
}
|
||||
|
||||
server.mu.RLock()
|
||||
defer server.mu.RUnlock()
|
||||
|
||||
for name, tool := range server.tools {
|
||||
// Add the function definition (for schema)
|
||||
fn := server.toFunction(tool)
|
||||
t.functions[name] = fn
|
||||
|
||||
// Track which server owns this tool
|
||||
t.mcpServers[name] = server
|
||||
}
|
||||
|
||||
return t
|
||||
}
|
||||
-115
@@ -1,115 +0,0 @@
|
||||
package llm
|
||||
|
||||
// Role represents the role of a message in a conversation.
|
||||
type Role string
|
||||
|
||||
const (
|
||||
RoleSystem Role = "system"
|
||||
RoleUser Role = "user"
|
||||
RoleAssistant Role = "assistant"
|
||||
)
|
||||
|
||||
// Image represents an image that can be included in a message.
|
||||
type Image struct {
|
||||
Base64 string
|
||||
ContentType string
|
||||
Url string
|
||||
}
|
||||
|
||||
func (i Image) toRaw() map[string]any {
|
||||
res := map[string]any{
|
||||
"base64": i.Base64,
|
||||
"contenttype": i.ContentType,
|
||||
"url": i.Url,
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (i *Image) fromRaw(raw map[string]any) Image {
|
||||
var res Image
|
||||
|
||||
res.Base64 = raw["base64"].(string)
|
||||
res.ContentType = raw["contenttype"].(string)
|
||||
res.Url = raw["url"].(string)
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
// Message represents a message in a conversation.
|
||||
type Message struct {
|
||||
Role Role
|
||||
Name string
|
||||
Text string
|
||||
Images []Image
|
||||
}
|
||||
|
||||
func (m Message) toRaw() map[string]any {
|
||||
res := map[string]any{
|
||||
"role": m.Role,
|
||||
"name": m.Name,
|
||||
"text": m.Text,
|
||||
}
|
||||
|
||||
images := make([]map[string]any, 0, len(m.Images))
|
||||
for _, img := range m.Images {
|
||||
images = append(images, img.toRaw())
|
||||
}
|
||||
|
||||
res["images"] = images
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (m *Message) fromRaw(raw map[string]any) Message {
|
||||
var res Message
|
||||
|
||||
res.Role = Role(raw["role"].(string))
|
||||
res.Name = raw["name"].(string)
|
||||
res.Text = raw["text"].(string)
|
||||
|
||||
images := raw["images"].([]map[string]any)
|
||||
for _, img := range images {
|
||||
var i Image
|
||||
|
||||
res.Images = append(res.Images, i.fromRaw(img))
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
// ToolCall represents a tool call made by an assistant.
|
||||
type ToolCall struct {
|
||||
ID string
|
||||
FunctionCall FunctionCall
|
||||
}
|
||||
|
||||
func (t ToolCall) toRaw() map[string]any {
|
||||
res := map[string]any{
|
||||
"id": t.ID,
|
||||
}
|
||||
|
||||
res["function"] = t.FunctionCall.toRaw()
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
// ToolCallResponse represents the response to a tool call.
|
||||
type ToolCallResponse struct {
|
||||
ID string
|
||||
Result any
|
||||
Error error
|
||||
}
|
||||
|
||||
func (t ToolCallResponse) toRaw() map[string]any {
|
||||
res := map[string]any{
|
||||
"id": t.ID,
|
||||
"result": t.Result,
|
||||
}
|
||||
|
||||
if t.Error != nil {
|
||||
res["error"] = t.Error.Error()
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
@@ -1,322 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"context"
|
||||
"fmt"
|
||||
"strings"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"github.com/openai/openai-go/option"
|
||||
"github.com/openai/openai-go/packages/param"
|
||||
"github.com/openai/openai-go/shared"
|
||||
)
|
||||
|
||||
type openaiImpl struct {
|
||||
key string
|
||||
model string
|
||||
baseUrl string
|
||||
}
|
||||
|
||||
var _ LLM = openaiImpl{}
|
||||
|
||||
func (o openaiImpl) newRequestToOpenAIRequest(request Request) openai.ChatCompletionNewParams {
|
||||
res := openai.ChatCompletionNewParams{
|
||||
Model: o.model,
|
||||
}
|
||||
|
||||
for _, i := range request.Conversation {
|
||||
res.Messages = append(res.Messages, inputToChatCompletionMessages(i, o.model)...)
|
||||
}
|
||||
|
||||
for _, msg := range request.Messages {
|
||||
res.Messages = append(res.Messages, messageToChatCompletionMessages(msg, o.model)...)
|
||||
}
|
||||
|
||||
for _, tool := range request.Toolbox.Functions() {
|
||||
res.Tools = append(res.Tools, openai.ChatCompletionToolParam{
|
||||
Type: "function",
|
||||
Function: shared.FunctionDefinitionParam{
|
||||
Name: tool.Name,
|
||||
Description: openai.String(tool.Description),
|
||||
Strict: openai.Bool(tool.Strict),
|
||||
Parameters: tool.Parameters.OpenAIParameters(),
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
if request.Toolbox.RequiresTool() {
|
||||
res.ToolChoice = openai.ChatCompletionToolChoiceOptionUnionParam{
|
||||
OfAuto: openai.String("required"),
|
||||
}
|
||||
}
|
||||
|
||||
if request.Temperature != nil {
|
||||
// these are known models that do not support custom temperatures
|
||||
// all the o* models
|
||||
// gpt-5* models
|
||||
if !strings.HasPrefix(o.model, "o") && !strings.HasPrefix(o.model, "gpt-5") {
|
||||
res.Temperature = openai.Float(*request.Temperature)
|
||||
}
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (o openaiImpl) responseToLLMResponse(response *openai.ChatCompletion) Response {
|
||||
var res Response
|
||||
|
||||
if response == nil {
|
||||
return res
|
||||
}
|
||||
|
||||
if len(response.Choices) == 0 {
|
||||
return res
|
||||
}
|
||||
|
||||
for _, choice := range response.Choices {
|
||||
var toolCalls []ToolCall
|
||||
for _, call := range choice.Message.ToolCalls {
|
||||
toolCall := ToolCall{
|
||||
ID: call.ID,
|
||||
FunctionCall: FunctionCall{
|
||||
Name: call.Function.Name,
|
||||
Arguments: strings.TrimSpace(call.Function.Arguments),
|
||||
},
|
||||
}
|
||||
|
||||
toolCalls = append(toolCalls, toolCall)
|
||||
|
||||
}
|
||||
res.Choices = append(res.Choices, ResponseChoice{
|
||||
Content: choice.Message.Content,
|
||||
Role: Role(choice.Message.Role),
|
||||
Refusal: choice.Message.Refusal,
|
||||
Calls: toolCalls,
|
||||
})
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (o openaiImpl) ChatComplete(ctx context.Context, request Request) (Response, error) {
|
||||
var opts = []option.RequestOption{
|
||||
option.WithAPIKey(o.key),
|
||||
}
|
||||
|
||||
if o.baseUrl != "" {
|
||||
opts = append(opts, option.WithBaseURL(o.baseUrl))
|
||||
}
|
||||
|
||||
cl := openai.NewClient(opts...)
|
||||
|
||||
req := o.newRequestToOpenAIRequest(request)
|
||||
|
||||
resp, err := cl.Chat.Completions.New(ctx, req)
|
||||
|
||||
if err != nil {
|
||||
return Response{}, fmt.Errorf("unhandled openai error: %w", err)
|
||||
}
|
||||
|
||||
return o.responseToLLMResponse(resp), nil
|
||||
}
|
||||
|
||||
func (o openaiImpl) ModelVersion(modelVersion string) (ChatCompletion, error) {
|
||||
return openaiImpl{
|
||||
key: o.key,
|
||||
model: modelVersion,
|
||||
baseUrl: o.baseUrl,
|
||||
}, nil
|
||||
}
|
||||
|
||||
// inputToChatCompletionMessages converts an Input to OpenAI chat completion messages.
|
||||
func inputToChatCompletionMessages(input Input, model string) []openai.ChatCompletionMessageParamUnion {
|
||||
switch v := input.(type) {
|
||||
case Message:
|
||||
return messageToChatCompletionMessages(v, model)
|
||||
case ToolCall:
|
||||
return toolCallToChatCompletionMessages(v)
|
||||
case ToolCallResponse:
|
||||
return toolCallResponseToChatCompletionMessages(v)
|
||||
case ResponseChoice:
|
||||
return responseChoiceToChatCompletionMessages(v)
|
||||
default:
|
||||
return nil
|
||||
}
|
||||
}
|
||||
|
||||
func messageToChatCompletionMessages(m Message, model string) []openai.ChatCompletionMessageParamUnion {
|
||||
var res openai.ChatCompletionMessageParamUnion
|
||||
|
||||
var arrayOfContentParts []openai.ChatCompletionContentPartUnionParam
|
||||
var textContent param.Opt[string]
|
||||
|
||||
for _, img := range m.Images {
|
||||
if img.Base64 != "" {
|
||||
arrayOfContentParts = append(arrayOfContentParts,
|
||||
openai.ChatCompletionContentPartUnionParam{
|
||||
OfImageURL: &openai.ChatCompletionContentPartImageParam{
|
||||
ImageURL: openai.ChatCompletionContentPartImageImageURLParam{
|
||||
URL: "data:" + img.ContentType + ";base64," + img.Base64,
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
} else if img.Url != "" {
|
||||
arrayOfContentParts = append(arrayOfContentParts,
|
||||
openai.ChatCompletionContentPartUnionParam{
|
||||
OfImageURL: &openai.ChatCompletionContentPartImageParam{
|
||||
ImageURL: openai.ChatCompletionContentPartImageImageURLParam{
|
||||
URL: img.Url,
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
if m.Text != "" {
|
||||
if len(arrayOfContentParts) > 0 {
|
||||
arrayOfContentParts = append(arrayOfContentParts,
|
||||
openai.ChatCompletionContentPartUnionParam{
|
||||
OfText: &openai.ChatCompletionContentPartTextParam{
|
||||
Text: "\n",
|
||||
},
|
||||
},
|
||||
)
|
||||
} else {
|
||||
textContent = openai.String(m.Text)
|
||||
}
|
||||
}
|
||||
|
||||
a := strings.Split(model, "-")
|
||||
|
||||
useSystemInsteadOfDeveloper := true
|
||||
if len(a) > 1 && a[0][0] == 'o' {
|
||||
useSystemInsteadOfDeveloper = false
|
||||
}
|
||||
|
||||
switch m.Role {
|
||||
case RoleSystem:
|
||||
if useSystemInsteadOfDeveloper {
|
||||
res = openai.ChatCompletionMessageParamUnion{
|
||||
OfSystem: &openai.ChatCompletionSystemMessageParam{
|
||||
Content: openai.ChatCompletionSystemMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
},
|
||||
},
|
||||
}
|
||||
} else {
|
||||
res = openai.ChatCompletionMessageParamUnion{
|
||||
OfDeveloper: &openai.ChatCompletionDeveloperMessageParam{
|
||||
Content: openai.ChatCompletionDeveloperMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
case RoleUser:
|
||||
var name param.Opt[string]
|
||||
if m.Name != "" {
|
||||
name = openai.String(m.Name)
|
||||
}
|
||||
|
||||
res = openai.ChatCompletionMessageParamUnion{
|
||||
OfUser: &openai.ChatCompletionUserMessageParam{
|
||||
Name: name,
|
||||
Content: openai.ChatCompletionUserMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
OfArrayOfContentParts: arrayOfContentParts,
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
case RoleAssistant:
|
||||
var name param.Opt[string]
|
||||
if m.Name != "" {
|
||||
name = openai.String(m.Name)
|
||||
}
|
||||
|
||||
res = openai.ChatCompletionMessageParamUnion{
|
||||
OfAssistant: &openai.ChatCompletionAssistantMessageParam{
|
||||
Name: name,
|
||||
Content: openai.ChatCompletionAssistantMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
return []openai.ChatCompletionMessageParamUnion{res}
|
||||
}
|
||||
|
||||
func toolCallToChatCompletionMessages(t ToolCall) []openai.ChatCompletionMessageParamUnion {
|
||||
return []openai.ChatCompletionMessageParamUnion{{
|
||||
OfAssistant: &openai.ChatCompletionAssistantMessageParam{
|
||||
ToolCalls: []openai.ChatCompletionMessageToolCallParam{
|
||||
{
|
||||
ID: t.ID,
|
||||
Function: openai.ChatCompletionMessageToolCallFunctionParam{
|
||||
Name: t.FunctionCall.Name,
|
||||
Arguments: t.FunctionCall.Arguments,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
}}
|
||||
}
|
||||
|
||||
func toolCallResponseToChatCompletionMessages(t ToolCallResponse) []openai.ChatCompletionMessageParamUnion {
|
||||
var refusal string
|
||||
if t.Error != nil {
|
||||
refusal = t.Error.Error()
|
||||
}
|
||||
|
||||
result := t.Result
|
||||
if refusal != "" {
|
||||
if result != "" {
|
||||
result = fmt.Sprint(result) + " (error in execution: " + refusal + ")"
|
||||
} else {
|
||||
result = "error in execution:" + refusal
|
||||
}
|
||||
}
|
||||
|
||||
return []openai.ChatCompletionMessageParamUnion{{
|
||||
OfTool: &openai.ChatCompletionToolMessageParam{
|
||||
ToolCallID: t.ID,
|
||||
Content: openai.ChatCompletionToolMessageParamContentUnion{
|
||||
OfString: openai.String(fmt.Sprint(result)),
|
||||
},
|
||||
},
|
||||
}}
|
||||
}
|
||||
|
||||
func responseChoiceToChatCompletionMessages(r ResponseChoice) []openai.ChatCompletionMessageParamUnion {
|
||||
var as openai.ChatCompletionAssistantMessageParam
|
||||
|
||||
if r.Name != "" {
|
||||
as.Name = openai.String(r.Name)
|
||||
}
|
||||
if r.Refusal != "" {
|
||||
as.Refusal = openai.String(r.Refusal)
|
||||
}
|
||||
|
||||
if r.Content != "" {
|
||||
as.Content.OfString = openai.String(r.Content)
|
||||
}
|
||||
|
||||
for _, call := range r.Calls {
|
||||
as.ToolCalls = append(as.ToolCalls, openai.ChatCompletionMessageToolCallParam{
|
||||
ID: call.ID,
|
||||
Function: openai.ChatCompletionMessageToolCallFunctionParam{
|
||||
Name: call.FunctionCall.Name,
|
||||
Arguments: call.FunctionCall.Arguments,
|
||||
},
|
||||
})
|
||||
}
|
||||
return []openai.ChatCompletionMessageParamUnion{
|
||||
{
|
||||
OfAssistant: &as,
|
||||
},
|
||||
}
|
||||
}
|
||||
@@ -1,219 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"strings"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"github.com/openai/openai-go/option"
|
||||
)
|
||||
|
||||
type openaiTranscriber struct {
|
||||
key string
|
||||
model string
|
||||
baseUrl string
|
||||
}
|
||||
|
||||
var _ Transcriber = openaiTranscriber{}
|
||||
|
||||
// OpenAITranscriber creates a transcriber backed by OpenAI's audio models.
|
||||
// If model is empty, whisper-1 is used by default.
|
||||
func OpenAITranscriber(key string, model string) Transcriber {
|
||||
if strings.TrimSpace(model) == "" {
|
||||
model = "whisper-1"
|
||||
}
|
||||
return openaiTranscriber{
|
||||
key: key,
|
||||
model: model,
|
||||
}
|
||||
}
|
||||
|
||||
func (o openaiTranscriber) Transcribe(ctx context.Context, wav []byte, opts TranscriptionOptions) (Transcription, error) {
|
||||
if len(wav) == 0 {
|
||||
return Transcription{}, fmt.Errorf("wav data is empty")
|
||||
}
|
||||
|
||||
format := opts.ResponseFormat
|
||||
if format == "" {
|
||||
if strings.HasPrefix(o.model, "gpt-4o") {
|
||||
format = TranscriptionResponseFormatJSON
|
||||
} else {
|
||||
format = TranscriptionResponseFormatVerboseJSON
|
||||
}
|
||||
}
|
||||
|
||||
if format != TranscriptionResponseFormatJSON && format != TranscriptionResponseFormatVerboseJSON {
|
||||
return Transcription{}, fmt.Errorf("openai transcriber requires response_format json or verbose_json for structured output")
|
||||
}
|
||||
|
||||
if len(opts.TimestampGranularities) > 0 && format != TranscriptionResponseFormatVerboseJSON {
|
||||
return Transcription{}, fmt.Errorf("timestamp granularities require response_format=verbose_json")
|
||||
}
|
||||
|
||||
params := openai.AudioTranscriptionNewParams{
|
||||
File: openai.File(bytes.NewReader(wav), "audio.wav", "audio/wav"),
|
||||
Model: openai.AudioModel(o.model),
|
||||
}
|
||||
|
||||
if opts.Language != "" {
|
||||
params.Language = openai.String(opts.Language)
|
||||
}
|
||||
if opts.Prompt != "" {
|
||||
params.Prompt = openai.String(opts.Prompt)
|
||||
}
|
||||
if opts.Temperature != nil {
|
||||
params.Temperature = openai.Float(*opts.Temperature)
|
||||
}
|
||||
|
||||
params.ResponseFormat = openai.AudioResponseFormat(format)
|
||||
|
||||
if opts.IncludeLogprobs {
|
||||
params.Include = []openai.TranscriptionInclude{openai.TranscriptionIncludeLogprobs}
|
||||
}
|
||||
|
||||
if len(opts.TimestampGranularities) > 0 {
|
||||
for _, granularity := range opts.TimestampGranularities {
|
||||
params.TimestampGranularities = append(params.TimestampGranularities, string(granularity))
|
||||
}
|
||||
}
|
||||
|
||||
clientOptions := []option.RequestOption{
|
||||
option.WithAPIKey(o.key),
|
||||
}
|
||||
if o.baseUrl != "" {
|
||||
clientOptions = append(clientOptions, option.WithBaseURL(o.baseUrl))
|
||||
}
|
||||
|
||||
client := openai.NewClient(clientOptions...)
|
||||
resp, err := client.Audio.Transcriptions.New(ctx, params)
|
||||
if err != nil {
|
||||
return Transcription{}, fmt.Errorf("openai transcription failed: %w", err)
|
||||
}
|
||||
|
||||
return openaiTranscriptionToResult(o.model, resp), nil
|
||||
}
|
||||
|
||||
type openaiVerboseTranscription struct {
|
||||
Text string `json:"text"`
|
||||
Language string `json:"language"`
|
||||
Duration float64 `json:"duration"`
|
||||
Segments []openaiVerboseSegment `json:"segments"`
|
||||
Words []openaiVerboseWord `json:"words"`
|
||||
}
|
||||
|
||||
type openaiVerboseSegment struct {
|
||||
ID int `json:"id"`
|
||||
Start float64 `json:"start"`
|
||||
End float64 `json:"end"`
|
||||
Text string `json:"text"`
|
||||
Tokens []int `json:"tokens"`
|
||||
AvgLogprob *float64 `json:"avg_logprob"`
|
||||
CompressionRatio *float64 `json:"compression_ratio"`
|
||||
NoSpeechProb *float64 `json:"no_speech_prob"`
|
||||
Words []openaiVerboseWord `json:"words"`
|
||||
}
|
||||
|
||||
type openaiVerboseWord struct {
|
||||
Word string `json:"word"`
|
||||
Start float64 `json:"start"`
|
||||
End float64 `json:"end"`
|
||||
}
|
||||
|
||||
func openaiTranscriptionToResult(model string, resp *openai.Transcription) Transcription {
|
||||
result := Transcription{
|
||||
Provider: "openai",
|
||||
Model: model,
|
||||
}
|
||||
if resp == nil {
|
||||
return result
|
||||
}
|
||||
|
||||
result.Text = resp.Text
|
||||
result.RawJSON = resp.RawJSON()
|
||||
|
||||
for _, logprob := range resp.Logprobs {
|
||||
result.Logprobs = append(result.Logprobs, TranscriptionTokenLogprob{
|
||||
Token: logprob.Token,
|
||||
Bytes: logprob.Bytes,
|
||||
Logprob: logprob.Logprob,
|
||||
})
|
||||
}
|
||||
|
||||
if usage := openaiUsageToTranscriptionUsage(resp.Usage); usage.Type != "" {
|
||||
result.Usage = usage
|
||||
}
|
||||
|
||||
if result.RawJSON == "" {
|
||||
return result
|
||||
}
|
||||
|
||||
var verbose openaiVerboseTranscription
|
||||
if err := json.Unmarshal([]byte(result.RawJSON), &verbose); err != nil {
|
||||
return result
|
||||
}
|
||||
|
||||
if verbose.Text != "" {
|
||||
result.Text = verbose.Text
|
||||
}
|
||||
result.Language = verbose.Language
|
||||
result.DurationSeconds = verbose.Duration
|
||||
|
||||
for _, seg := range verbose.Segments {
|
||||
segment := TranscriptionSegment{
|
||||
ID: seg.ID,
|
||||
Start: seg.Start,
|
||||
End: seg.End,
|
||||
Text: seg.Text,
|
||||
Tokens: append([]int(nil), seg.Tokens...),
|
||||
AvgLogprob: seg.AvgLogprob,
|
||||
CompressionRatio: seg.CompressionRatio,
|
||||
NoSpeechProb: seg.NoSpeechProb,
|
||||
}
|
||||
|
||||
for _, word := range seg.Words {
|
||||
segment.Words = append(segment.Words, TranscriptionWord{
|
||||
Word: word.Word,
|
||||
Start: word.Start,
|
||||
End: word.End,
|
||||
})
|
||||
}
|
||||
|
||||
result.Segments = append(result.Segments, segment)
|
||||
}
|
||||
|
||||
for _, word := range verbose.Words {
|
||||
result.Words = append(result.Words, TranscriptionWord{
|
||||
Word: word.Word,
|
||||
Start: word.Start,
|
||||
End: word.End,
|
||||
})
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
func openaiUsageToTranscriptionUsage(usage openai.TranscriptionUsageUnion) TranscriptionUsage {
|
||||
switch usage.Type {
|
||||
case "tokens":
|
||||
tokens := usage.AsTokens()
|
||||
return TranscriptionUsage{
|
||||
Type: usage.Type,
|
||||
InputTokens: tokens.InputTokens,
|
||||
OutputTokens: tokens.OutputTokens,
|
||||
TotalTokens: tokens.TotalTokens,
|
||||
AudioTokens: tokens.InputTokenDetails.AudioTokens,
|
||||
TextTokens: tokens.InputTokenDetails.TextTokens,
|
||||
}
|
||||
case "duration":
|
||||
duration := usage.AsDuration()
|
||||
return TranscriptionUsage{
|
||||
Type: usage.Type,
|
||||
Seconds: duration.Seconds,
|
||||
}
|
||||
default:
|
||||
return TranscriptionUsage{}
|
||||
}
|
||||
}
|
||||
@@ -1,50 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"strings"
|
||||
)
|
||||
|
||||
// Providers are the allowed shortcuts in the providers, e.g.: if you set { "openai": OpenAI("key") } that'll allow
|
||||
// for the "openai" provider to be used when parsed.
|
||||
type Providers map[string]LLM
|
||||
|
||||
// Parse will parse the provided input and attempt to return a LLM chat completion interface.
|
||||
// Input should be in the provided format:
|
||||
// - provider/modelname
|
||||
//
|
||||
// where provider is a key inside Providers, and the modelname being passed to the LLM interface's GetModel
|
||||
func (providers Providers) Parse(input string) ChatCompletion {
|
||||
sections := strings.Split(input, "/")
|
||||
|
||||
var provider LLM
|
||||
var ok bool
|
||||
var modelVersion string
|
||||
|
||||
if len(sections) < 2 {
|
||||
// is there a default provider?
|
||||
provider, ok = providers["default"]
|
||||
if !ok {
|
||||
panic("expected format: \"provider/model\" or provide a \"default\" provider to the Parse callback")
|
||||
}
|
||||
|
||||
modelVersion = sections[0]
|
||||
} else {
|
||||
provider, ok = providers[sections[0]]
|
||||
modelVersion = sections[1]
|
||||
}
|
||||
|
||||
if !ok {
|
||||
panic("expected format: \"provider/model\" or provide a \"default\" provider to the Parse callback")
|
||||
}
|
||||
|
||||
if provider == nil {
|
||||
panic("unknown provider: " + sections[0])
|
||||
}
|
||||
|
||||
res, err := provider.ModelVersion(modelVersion)
|
||||
if err != nil {
|
||||
panic(err)
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
@@ -1,11 +0,0 @@
|
||||
// Package anthropic provides the Anthropic LLM provider.
|
||||
package anthropic
|
||||
|
||||
import (
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm"
|
||||
)
|
||||
|
||||
// New creates a new Anthropic LLM provider with the given API key.
|
||||
func New(key string) llm.LLM {
|
||||
return llm.Anthropic(key)
|
||||
}
|
||||
@@ -1,11 +0,0 @@
|
||||
// Package google provides the Google LLM provider.
|
||||
package google
|
||||
|
||||
import (
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm"
|
||||
)
|
||||
|
||||
// New creates a new Google LLM provider with the given API key.
|
||||
func New(key string) llm.LLM {
|
||||
return llm.Google(key)
|
||||
}
|
||||
@@ -1,11 +0,0 @@
|
||||
// Package openai provides the OpenAI LLM provider.
|
||||
package openai
|
||||
|
||||
import (
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm"
|
||||
)
|
||||
|
||||
// New creates a new OpenAI LLM provider with the given API key.
|
||||
func New(key string) llm.LLM {
|
||||
return llm.OpenAI(key)
|
||||
}
|
||||
-51
@@ -1,51 +0,0 @@
|
||||
package llm
|
||||
|
||||
// Input is the interface for conversation inputs.
|
||||
// Types that implement this interface can be part of a conversation:
|
||||
// Message, ToolCall, ToolCallResponse, and ResponseChoice.
|
||||
type Input interface {
|
||||
// isInput is a marker method to ensure only valid types implement this interface.
|
||||
isInput()
|
||||
}
|
||||
|
||||
// Implement Input interface for all valid input types.
|
||||
func (Message) isInput() {}
|
||||
func (ToolCall) isInput() {}
|
||||
func (ToolCallResponse) isInput() {}
|
||||
func (ResponseChoice) isInput() {}
|
||||
|
||||
// Request represents a request to a language model.
|
||||
type Request struct {
|
||||
Conversation []Input
|
||||
Messages []Message
|
||||
Toolbox ToolBox
|
||||
Temperature *float64
|
||||
}
|
||||
|
||||
// NextRequest will take the current request's conversation, messages, the response, and any tool results, and
|
||||
// return a new request with the conversation updated to include the response and tool results.
|
||||
func (req Request) NextRequest(resp ResponseChoice, toolResults []ToolCallResponse) Request {
|
||||
var res Request
|
||||
|
||||
res.Toolbox = req.Toolbox
|
||||
res.Temperature = req.Temperature
|
||||
|
||||
res.Conversation = make([]Input, len(req.Conversation))
|
||||
copy(res.Conversation, req.Conversation)
|
||||
|
||||
// now for every input message, convert those to an Input to add to the conversation
|
||||
for _, msg := range req.Messages {
|
||||
res.Conversation = append(res.Conversation, msg)
|
||||
}
|
||||
|
||||
if resp.Content != "" || resp.Refusal != "" || len(resp.Calls) > 0 {
|
||||
res.Conversation = append(res.Conversation, resp)
|
||||
}
|
||||
|
||||
// if there are tool results, then we need to add those to the conversation
|
||||
for _, result := range toolResults {
|
||||
res.Conversation = append(res.Conversation, result)
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
-52
@@ -1,52 +0,0 @@
|
||||
package llm
|
||||
|
||||
// ResponseChoice represents a single choice in a response.
|
||||
type ResponseChoice struct {
|
||||
Index int
|
||||
Role Role
|
||||
Content string
|
||||
Refusal string
|
||||
Name string
|
||||
Calls []ToolCall
|
||||
}
|
||||
|
||||
func (r ResponseChoice) toRaw() map[string]any {
|
||||
res := map[string]any{
|
||||
"index": r.Index,
|
||||
"role": r.Role,
|
||||
"content": r.Content,
|
||||
"refusal": r.Refusal,
|
||||
"name": r.Name,
|
||||
}
|
||||
|
||||
calls := make([]map[string]any, 0, len(r.Calls))
|
||||
for _, call := range r.Calls {
|
||||
calls = append(calls, call.toRaw())
|
||||
}
|
||||
|
||||
res["tool_calls"] = calls
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (r ResponseChoice) toInput() []Input {
|
||||
var res []Input
|
||||
|
||||
for _, call := range r.Calls {
|
||||
res = append(res, call)
|
||||
}
|
||||
|
||||
if r.Content != "" || r.Refusal != "" {
|
||||
res = append(res, Message{
|
||||
Role: RoleAssistant,
|
||||
Text: r.Content,
|
||||
})
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
// Response represents a response from a language model.
|
||||
type Response struct {
|
||||
Choices []ResponseChoice
|
||||
}
|
||||
@@ -1,142 +0,0 @@
|
||||
package schema
|
||||
|
||||
import (
|
||||
"reflect"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// GetType will, given an interface{} that is a struct (NOT a pointer to a struct), return the Type of the struct that
|
||||
// can be used to generate a json schema and build an object from a parsed json object.
|
||||
func GetType(a any) Type {
|
||||
t := reflect.TypeOf(a)
|
||||
|
||||
if t.Kind() != reflect.Struct {
|
||||
panic("GetType expects a struct")
|
||||
}
|
||||
|
||||
return getObject(t)
|
||||
}
|
||||
|
||||
func getFromType(t reflect.Type, b basic) Type {
|
||||
if t.Kind() == reflect.Ptr {
|
||||
t = t.Elem()
|
||||
b.required = false
|
||||
}
|
||||
|
||||
switch t.Kind() {
|
||||
case reflect.String:
|
||||
b.DataType = TypeString
|
||||
b.typeName = "string"
|
||||
return b
|
||||
|
||||
case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64:
|
||||
b.DataType = TypeInteger
|
||||
b.typeName = "integer"
|
||||
return b
|
||||
|
||||
case reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64:
|
||||
b.DataType = TypeInteger
|
||||
b.typeName = "integer"
|
||||
return b
|
||||
|
||||
case reflect.Float32, reflect.Float64:
|
||||
b.DataType = TypeNumber
|
||||
b.typeName = "number"
|
||||
return b
|
||||
|
||||
case reflect.Bool:
|
||||
b.DataType = TypeBoolean
|
||||
b.typeName = "boolean"
|
||||
return b
|
||||
|
||||
case reflect.Struct:
|
||||
o := getObject(t)
|
||||
|
||||
o.basic.required = b.required
|
||||
o.basic.index = b.index
|
||||
o.basic.description = b.description
|
||||
|
||||
return o
|
||||
|
||||
case reflect.Slice:
|
||||
return getArray(t)
|
||||
|
||||
default:
|
||||
panic("unhandled default case for " + t.Kind().String() + " in getFromType")
|
||||
}
|
||||
}
|
||||
|
||||
func getField(f reflect.StructField, index int) Type {
|
||||
b := basic{
|
||||
index: index,
|
||||
required: true,
|
||||
description: "",
|
||||
}
|
||||
|
||||
t := f.Type
|
||||
|
||||
// if the tag "description" is set, use that as the description
|
||||
if desc, ok := f.Tag.Lookup("description"); ok {
|
||||
b.description = desc
|
||||
}
|
||||
|
||||
// now if the tag "enum" is set, we need to create an enum type
|
||||
if v, ok := f.Tag.Lookup("enum"); ok {
|
||||
vals := strings.Split(v, ",")
|
||||
|
||||
for i := 0; i < len(vals); i++ {
|
||||
vals[i] = strings.TrimSpace(vals[i])
|
||||
|
||||
if vals[i] == "" {
|
||||
vals = append(vals[:i], vals[i+1:]...)
|
||||
}
|
||||
}
|
||||
|
||||
b.DataType = TypeString
|
||||
b.typeName = "string"
|
||||
return enum{
|
||||
basic: b,
|
||||
values: vals,
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
return getFromType(t, b)
|
||||
}
|
||||
|
||||
func getObject(t reflect.Type) Object {
|
||||
fields := make(map[string]Type, t.NumField())
|
||||
for i := 0; i < t.NumField(); i++ {
|
||||
field := t.Field(i)
|
||||
|
||||
if field.Anonymous {
|
||||
// if the field is anonymous, we need to get the fields of the anonymous struct
|
||||
// and add them to the object
|
||||
anon := getObject(field.Type)
|
||||
for k, v := range anon.fields {
|
||||
fields[k] = v
|
||||
}
|
||||
continue
|
||||
} else {
|
||||
fields[field.Name] = getField(field, i)
|
||||
}
|
||||
}
|
||||
|
||||
return Object{
|
||||
basic: basic{DataType: TypeObject, typeName: "object"},
|
||||
fields: fields,
|
||||
}
|
||||
}
|
||||
|
||||
func getArray(t reflect.Type) array {
|
||||
res := array{
|
||||
basic: basic{
|
||||
DataType: TypeArray,
|
||||
typeName: "array",
|
||||
},
|
||||
}
|
||||
|
||||
res.items = getFromType(t.Elem(), basic{})
|
||||
|
||||
return res
|
||||
}
|
||||
@@ -1,77 +0,0 @@
|
||||
package schema
|
||||
|
||||
import (
|
||||
"errors"
|
||||
"reflect"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"google.golang.org/genai"
|
||||
)
|
||||
|
||||
type array struct {
|
||||
basic
|
||||
|
||||
// items is the schema of the items in the array
|
||||
items Type
|
||||
}
|
||||
|
||||
func (a array) OpenAIParameters() openai.FunctionParameters {
|
||||
return openai.FunctionParameters{
|
||||
"type": "array",
|
||||
"description": a.Description(),
|
||||
"items": a.items.OpenAIParameters(),
|
||||
}
|
||||
}
|
||||
|
||||
func (a array) GoogleParameters() *genai.Schema {
|
||||
return &genai.Schema{
|
||||
Type: genai.TypeArray,
|
||||
Description: a.Description(),
|
||||
Items: a.items.GoogleParameters(),
|
||||
}
|
||||
}
|
||||
|
||||
func (a array) AnthropicInputSchema() map[string]any {
|
||||
return map[string]any{
|
||||
"type": "array",
|
||||
"description": a.Description(),
|
||||
"items": a.items.AnthropicInputSchema(),
|
||||
}
|
||||
}
|
||||
|
||||
func (a array) FromAny(val any) (reflect.Value, error) {
|
||||
v := reflect.ValueOf(val)
|
||||
|
||||
// first realize we may have a pointer to a slice if this type is not required
|
||||
if !a.required && v.Kind() == reflect.Ptr {
|
||||
v = v.Elem()
|
||||
}
|
||||
|
||||
if v.Kind() != reflect.Slice {
|
||||
return reflect.Value{}, errors.New("expected slice, got " + v.Kind().String())
|
||||
}
|
||||
|
||||
// if the slice is nil, we can just return it
|
||||
if v.IsNil() {
|
||||
return v, nil
|
||||
}
|
||||
|
||||
// if the slice is not nil, we need to convert each item
|
||||
items := make([]reflect.Value, v.Len())
|
||||
for i := 0; i < v.Len(); i++ {
|
||||
item, err := a.items.FromAny(v.Index(i).Interface())
|
||||
if err != nil {
|
||||
return reflect.Value{}, err
|
||||
}
|
||||
items[i] = item
|
||||
}
|
||||
|
||||
return reflect.ValueOf(items), nil
|
||||
}
|
||||
|
||||
func (a array) SetValue(obj reflect.Value, val reflect.Value) {
|
||||
if !a.required {
|
||||
val = val.Addr()
|
||||
}
|
||||
obj.Field(a.index).Set(val)
|
||||
}
|
||||
-165
@@ -1,165 +0,0 @@
|
||||
package schema
|
||||
|
||||
import (
|
||||
"errors"
|
||||
"reflect"
|
||||
"strconv"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"google.golang.org/genai"
|
||||
)
|
||||
|
||||
// just enforcing that basic implements Type
|
||||
var _ Type = basic{}
|
||||
|
||||
type DataType string
|
||||
|
||||
const (
|
||||
TypeString DataType = "string"
|
||||
TypeInteger DataType = "integer"
|
||||
TypeNumber DataType = "number"
|
||||
TypeBoolean DataType = "boolean"
|
||||
TypeObject DataType = "object"
|
||||
TypeArray DataType = "array"
|
||||
)
|
||||
|
||||
type basic struct {
|
||||
DataType
|
||||
typeName string
|
||||
|
||||
// index is the position of the parameter in the StructField of the function's parameter struct
|
||||
index int
|
||||
|
||||
// required is a flag that indicates whether the parameter is required in the function's parameter struct.
|
||||
// this is inferred by if the parameter is a pointer type or not.
|
||||
required bool
|
||||
|
||||
// description is a llm-readable description of the parameter passed to openai
|
||||
description string
|
||||
}
|
||||
|
||||
func (b basic) OpenAIParameters() openai.FunctionParameters {
|
||||
return openai.FunctionParameters{
|
||||
"type": b.typeName,
|
||||
"description": b.description,
|
||||
}
|
||||
}
|
||||
|
||||
func (b basic) GoogleParameters() *genai.Schema {
|
||||
var t = genai.TypeUnspecified
|
||||
|
||||
switch b.DataType {
|
||||
case TypeString:
|
||||
t = genai.TypeString
|
||||
case TypeInteger:
|
||||
t = genai.TypeInteger
|
||||
case TypeNumber:
|
||||
t = genai.TypeNumber
|
||||
case TypeBoolean:
|
||||
t = genai.TypeBoolean
|
||||
case TypeObject:
|
||||
t = genai.TypeObject
|
||||
case TypeArray:
|
||||
t = genai.TypeArray
|
||||
default:
|
||||
t = genai.TypeUnspecified
|
||||
}
|
||||
return &genai.Schema{
|
||||
Type: t,
|
||||
Description: b.description,
|
||||
}
|
||||
}
|
||||
|
||||
func (b basic) AnthropicInputSchema() map[string]any {
|
||||
var t = "string"
|
||||
|
||||
switch b.DataType {
|
||||
case TypeString:
|
||||
t = "string"
|
||||
case TypeInteger:
|
||||
t = "integer"
|
||||
case TypeNumber:
|
||||
t = "number"
|
||||
case TypeBoolean:
|
||||
t = "boolean"
|
||||
case TypeObject:
|
||||
t = "object"
|
||||
case TypeArray:
|
||||
t = "array"
|
||||
default:
|
||||
t = "unknown"
|
||||
}
|
||||
|
||||
return map[string]any{
|
||||
"type": t,
|
||||
"description": b.description,
|
||||
}
|
||||
}
|
||||
|
||||
func (b basic) Required() bool {
|
||||
return b.required
|
||||
}
|
||||
|
||||
func (b basic) Description() string {
|
||||
return b.description
|
||||
}
|
||||
|
||||
func (b basic) FromAny(val any) (reflect.Value, error) {
|
||||
v := reflect.ValueOf(val)
|
||||
|
||||
switch b.DataType {
|
||||
case TypeString:
|
||||
var val = v.String()
|
||||
|
||||
return reflect.ValueOf(val), nil
|
||||
|
||||
case TypeInteger:
|
||||
if v.Kind() == reflect.Float64 {
|
||||
return v.Convert(reflect.TypeOf(int(0))), nil
|
||||
} else if v.Kind() != reflect.Int {
|
||||
return reflect.Value{}, errors.New("expected int, got " + v.Kind().String())
|
||||
} else {
|
||||
return v, nil
|
||||
}
|
||||
|
||||
case TypeNumber:
|
||||
if v.Kind() == reflect.Float64 {
|
||||
return v.Convert(reflect.TypeOf(float64(0))), nil
|
||||
} else if v.Kind() != reflect.Float64 {
|
||||
return reflect.Value{}, errors.New("expected float64, got " + v.Kind().String())
|
||||
} else {
|
||||
return v, nil
|
||||
}
|
||||
|
||||
case TypeBoolean:
|
||||
if v.Kind() == reflect.Bool {
|
||||
return v, nil
|
||||
} else if v.Kind() == reflect.String {
|
||||
b, err := strconv.ParseBool(v.String())
|
||||
if err != nil {
|
||||
return reflect.Value{}, errors.New("expected bool, got " + v.Kind().String())
|
||||
}
|
||||
return reflect.ValueOf(b), nil
|
||||
} else {
|
||||
return reflect.Value{}, errors.New("expected bool, got " + v.Kind().String())
|
||||
}
|
||||
|
||||
default:
|
||||
return reflect.Value{}, errors.New("unknown type")
|
||||
}
|
||||
}
|
||||
|
||||
func (b basic) SetValueOnField(obj reflect.Value, val reflect.Value) {
|
||||
// if this basic type is not required that means it's a pointer type
|
||||
// so we need to create a new value of the type of the pointer
|
||||
if !b.required {
|
||||
vv := reflect.New(obj.Field(b.index).Type().Elem())
|
||||
|
||||
// and then set the value of the pointer to the new value
|
||||
vv.Elem().Set(val)
|
||||
|
||||
obj.Field(b.index).Set(vv)
|
||||
return
|
||||
}
|
||||
obj.Field(b.index).Set(val)
|
||||
}
|
||||
@@ -1,61 +0,0 @@
|
||||
package schema
|
||||
|
||||
import (
|
||||
"errors"
|
||||
"reflect"
|
||||
"slices"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"google.golang.org/genai"
|
||||
)
|
||||
|
||||
type enum struct {
|
||||
basic
|
||||
|
||||
values []string
|
||||
}
|
||||
|
||||
func (e enum) FunctionParameters() openai.FunctionParameters {
|
||||
return openai.FunctionParameters{
|
||||
"type": "string",
|
||||
"description": e.Description(),
|
||||
"enum": e.values,
|
||||
}
|
||||
}
|
||||
|
||||
func (e enum) GoogleParameters() *genai.Schema {
|
||||
return &genai.Schema{
|
||||
Type: genai.TypeString,
|
||||
Description: e.Description(),
|
||||
Enum: e.values,
|
||||
}
|
||||
}
|
||||
|
||||
func (e enum) AnthropicInputSchema() map[string]any {
|
||||
return map[string]any{
|
||||
"type": "string",
|
||||
"description": e.Description(),
|
||||
"enum": e.values,
|
||||
}
|
||||
}
|
||||
|
||||
func (e enum) FromAny(val any) (reflect.Value, error) {
|
||||
v := reflect.ValueOf(val)
|
||||
if v.Kind() != reflect.String {
|
||||
return reflect.Value{}, errors.New("expected string, got " + v.Kind().String())
|
||||
}
|
||||
|
||||
s := v.String()
|
||||
if !slices.Contains(e.values, s) {
|
||||
return reflect.Value{}, errors.New("value " + s + " not in enum")
|
||||
}
|
||||
|
||||
return v, nil
|
||||
}
|
||||
|
||||
func (e enum) SetValueOnField(obj reflect.Value, val reflect.Value) {
|
||||
if !e.required {
|
||||
val = val.Addr()
|
||||
}
|
||||
obj.Field(e.index).Set(val)
|
||||
}
|
||||
@@ -1,169 +0,0 @@
|
||||
package schema
|
||||
|
||||
import (
|
||||
"errors"
|
||||
"reflect"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"google.golang.org/genai"
|
||||
)
|
||||
|
||||
const (
|
||||
// SyntheticFieldPrefix is any prefix that is added to any synthetic fields that are added to the object, to prevent
|
||||
// collisions with the fields in the struct.
|
||||
SyntheticFieldPrefix = "__"
|
||||
)
|
||||
|
||||
type Object struct {
|
||||
basic
|
||||
|
||||
ref reflect.Type
|
||||
|
||||
fields map[string]Type
|
||||
|
||||
// syntheticFields are fields that are not in the struct but are generated by a system.
|
||||
synetheticFields map[string]Type
|
||||
}
|
||||
|
||||
func (o Object) WithSyntheticField(name string, description string) Object {
|
||||
if o.synetheticFields == nil {
|
||||
o.synetheticFields = map[string]Type{}
|
||||
}
|
||||
|
||||
o.synetheticFields[name] = basic{
|
||||
DataType: TypeString,
|
||||
typeName: "string",
|
||||
index: -1,
|
||||
required: false,
|
||||
description: description,
|
||||
}
|
||||
|
||||
return o
|
||||
}
|
||||
|
||||
func (o Object) SyntheticFields() map[string]Type {
|
||||
return o.synetheticFields
|
||||
}
|
||||
|
||||
func (o Object) OpenAIParameters() openai.FunctionParameters {
|
||||
var properties = map[string]openai.FunctionParameters{}
|
||||
var required []string
|
||||
for k, v := range o.fields {
|
||||
properties[k] = v.OpenAIParameters()
|
||||
if v.Required() {
|
||||
required = append(required, k)
|
||||
}
|
||||
}
|
||||
|
||||
for k, v := range o.synetheticFields {
|
||||
properties[SyntheticFieldPrefix+k] = v.OpenAIParameters()
|
||||
if v.Required() {
|
||||
required = append(required, SyntheticFieldPrefix+k)
|
||||
}
|
||||
}
|
||||
|
||||
var res = openai.FunctionParameters{
|
||||
"type": "object",
|
||||
"description": o.Description(),
|
||||
"properties": properties,
|
||||
}
|
||||
|
||||
if len(required) > 0 {
|
||||
res["required"] = required
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (o Object) GoogleParameters() *genai.Schema {
|
||||
var properties = map[string]*genai.Schema{}
|
||||
var required []string
|
||||
for k, v := range o.fields {
|
||||
properties[k] = v.GoogleParameters()
|
||||
if v.Required() {
|
||||
required = append(required, k)
|
||||
}
|
||||
}
|
||||
|
||||
var res = &genai.Schema{
|
||||
Type: genai.TypeObject,
|
||||
Description: o.Description(),
|
||||
Properties: properties,
|
||||
}
|
||||
|
||||
if len(required) > 0 {
|
||||
res.Required = required
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (o Object) AnthropicInputSchema() map[string]any {
|
||||
var properties = map[string]any{}
|
||||
var required []string
|
||||
for k, v := range o.fields {
|
||||
properties[k] = v.AnthropicInputSchema()
|
||||
if v.Required() {
|
||||
required = append(required, k)
|
||||
}
|
||||
}
|
||||
|
||||
var res = map[string]any{
|
||||
"type": "object",
|
||||
"description": o.Description(),
|
||||
"properties": properties,
|
||||
}
|
||||
|
||||
if len(required) > 0 {
|
||||
res["required"] = required
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
// FromAny converts the value from any to the correct type, returning the value, and an error if any
|
||||
func (o Object) FromAny(val any) (reflect.Value, error) {
|
||||
// if the value is nil, we can't do anything
|
||||
if val == nil {
|
||||
return reflect.Value{}, nil
|
||||
}
|
||||
|
||||
// now make a new object of the type we're trying to parse
|
||||
obj := reflect.New(o.ref).Elem()
|
||||
|
||||
// now we need to iterate over the fields and set the values
|
||||
for k, v := range o.fields {
|
||||
// get the field by name
|
||||
field := obj.FieldByName(k)
|
||||
if !field.IsValid() {
|
||||
return reflect.Value{}, errors.New("field " + k + " not found")
|
||||
}
|
||||
|
||||
// get the value from the map
|
||||
val2, ok := val.(map[string]interface{})[k]
|
||||
if !ok {
|
||||
return reflect.Value{}, errors.New("field " + k + " not found in map")
|
||||
}
|
||||
|
||||
// now we need to convert the value to the correct type
|
||||
val3, err := v.FromAny(val2)
|
||||
if err != nil {
|
||||
return reflect.Value{}, err
|
||||
}
|
||||
|
||||
// now we need to set the value on the field
|
||||
v.SetValueOnField(field, val3)
|
||||
|
||||
}
|
||||
|
||||
return obj, nil
|
||||
}
|
||||
|
||||
func (o Object) SetValueOnField(obj reflect.Value, val reflect.Value) {
|
||||
// if this basic type is not required that means it's a pointer type so we need to set the value to the address of the value
|
||||
if !o.required {
|
||||
val = val.Addr()
|
||||
}
|
||||
|
||||
obj.Field(o.index).Set(val)
|
||||
}
|
||||
-134
@@ -1,134 +0,0 @@
|
||||
package schema
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"reflect"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"google.golang.org/genai"
|
||||
)
|
||||
|
||||
// Raw represents a raw JSON schema that is passed through directly.
|
||||
// This is used for MCP tools where we receive the schema from the server.
|
||||
type Raw struct {
|
||||
schema map[string]any
|
||||
}
|
||||
|
||||
// NewRaw creates a new Raw schema from a map.
|
||||
func NewRaw(schema map[string]any) Raw {
|
||||
if schema == nil {
|
||||
schema = map[string]any{
|
||||
"type": "object",
|
||||
"properties": map[string]any{},
|
||||
}
|
||||
}
|
||||
return Raw{schema: schema}
|
||||
}
|
||||
|
||||
// NewRawFromJSON creates a new Raw schema from JSON bytes.
|
||||
func NewRawFromJSON(data []byte) (Raw, error) {
|
||||
var schema map[string]any
|
||||
if err := json.Unmarshal(data, &schema); err != nil {
|
||||
return Raw{}, fmt.Errorf("failed to parse JSON schema: %w", err)
|
||||
}
|
||||
return NewRaw(schema), nil
|
||||
}
|
||||
|
||||
func (r Raw) OpenAIParameters() openai.FunctionParameters {
|
||||
return openai.FunctionParameters(r.schema)
|
||||
}
|
||||
|
||||
func (r Raw) GoogleParameters() *genai.Schema {
|
||||
return mapToGenaiSchema(r.schema)
|
||||
}
|
||||
|
||||
func (r Raw) AnthropicInputSchema() map[string]any {
|
||||
return r.schema
|
||||
}
|
||||
|
||||
func (r Raw) Required() bool {
|
||||
return false
|
||||
}
|
||||
|
||||
func (r Raw) Description() string {
|
||||
if desc, ok := r.schema["description"].(string); ok {
|
||||
return desc
|
||||
}
|
||||
return ""
|
||||
}
|
||||
|
||||
func (r Raw) FromAny(val any) (reflect.Value, error) {
|
||||
return reflect.ValueOf(val), nil
|
||||
}
|
||||
|
||||
func (r Raw) SetValueOnField(obj reflect.Value, val reflect.Value) {
|
||||
// No-op for raw schemas
|
||||
}
|
||||
|
||||
// mapToGenaiSchema converts a map[string]any JSON schema to genai.Schema
|
||||
func mapToGenaiSchema(m map[string]any) *genai.Schema {
|
||||
if m == nil {
|
||||
return nil
|
||||
}
|
||||
|
||||
schema := &genai.Schema{}
|
||||
|
||||
// Type
|
||||
if t, ok := m["type"].(string); ok {
|
||||
switch t {
|
||||
case "string":
|
||||
schema.Type = genai.TypeString
|
||||
case "number":
|
||||
schema.Type = genai.TypeNumber
|
||||
case "integer":
|
||||
schema.Type = genai.TypeInteger
|
||||
case "boolean":
|
||||
schema.Type = genai.TypeBoolean
|
||||
case "array":
|
||||
schema.Type = genai.TypeArray
|
||||
case "object":
|
||||
schema.Type = genai.TypeObject
|
||||
}
|
||||
}
|
||||
|
||||
// Description
|
||||
if desc, ok := m["description"].(string); ok {
|
||||
schema.Description = desc
|
||||
}
|
||||
|
||||
// Enum
|
||||
if enum, ok := m["enum"].([]any); ok {
|
||||
for _, e := range enum {
|
||||
if s, ok := e.(string); ok {
|
||||
schema.Enum = append(schema.Enum, s)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Properties (for objects)
|
||||
if props, ok := m["properties"].(map[string]any); ok {
|
||||
schema.Properties = make(map[string]*genai.Schema)
|
||||
for k, v := range props {
|
||||
if vm, ok := v.(map[string]any); ok {
|
||||
schema.Properties[k] = mapToGenaiSchema(vm)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Required
|
||||
if req, ok := m["required"].([]any); ok {
|
||||
for _, r := range req {
|
||||
if s, ok := r.(string); ok {
|
||||
schema.Required = append(schema.Required, s)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Items (for arrays)
|
||||
if items, ok := m["items"].(map[string]any); ok {
|
||||
schema.Items = mapToGenaiSchema(items)
|
||||
}
|
||||
|
||||
return schema
|
||||
}
|
||||
@@ -1,23 +0,0 @@
|
||||
package schema
|
||||
|
||||
import (
|
||||
"reflect"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"google.golang.org/genai"
|
||||
)
|
||||
|
||||
type Type interface {
|
||||
OpenAIParameters() openai.FunctionParameters
|
||||
GoogleParameters() *genai.Schema
|
||||
AnthropicInputSchema() map[string]any
|
||||
|
||||
//SchemaType() jsonschema.DataType
|
||||
//Definition() jsonschema.Definition
|
||||
|
||||
Required() bool
|
||||
Description() string
|
||||
|
||||
FromAny(any) (reflect.Value, error)
|
||||
SetValueOnField(obj reflect.Value, val reflect.Value)
|
||||
}
|
||||
-174
@@ -1,174 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
)
|
||||
|
||||
// ToolBox is a collection of tools that OpenAI can use to execute functions.
|
||||
// It is a wrapper around a collection of functions, and provides a way to automatically call the correct function with
|
||||
// the correct parameters.
|
||||
type ToolBox struct {
|
||||
functions map[string]Function
|
||||
mcpServers map[string]*MCPServer // tool name -> MCP server that provides it
|
||||
dontRequireTool bool
|
||||
}
|
||||
|
||||
func NewToolBox(fns ...Function) ToolBox {
|
||||
res := ToolBox{
|
||||
functions: map[string]Function{},
|
||||
}
|
||||
|
||||
for _, f := range fns {
|
||||
res.functions[f.Name] = f
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (t ToolBox) Functions() []Function {
|
||||
var res []Function
|
||||
|
||||
for _, f := range t.functions {
|
||||
res = append(res, f)
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
func (t ToolBox) WithFunction(f Function) ToolBox {
|
||||
t.functions[f.Name] = f
|
||||
|
||||
return t
|
||||
}
|
||||
|
||||
func (t ToolBox) WithFunctions(fns ...Function) ToolBox {
|
||||
for _, f := range fns {
|
||||
t.functions[f.Name] = f
|
||||
}
|
||||
|
||||
return t
|
||||
}
|
||||
|
||||
func (t ToolBox) WithSyntheticFieldsAddedToAllFunctions(fieldsAndDescriptions map[string]string) ToolBox {
|
||||
for k, v := range t.functions {
|
||||
t.functions[k] = v.WithSyntheticFields(fieldsAndDescriptions)
|
||||
}
|
||||
|
||||
return t
|
||||
}
|
||||
|
||||
func (t ToolBox) ForEachFunction(fn func(f Function)) {
|
||||
for _, f := range t.functions {
|
||||
fn(f)
|
||||
}
|
||||
}
|
||||
|
||||
func (t ToolBox) WithFunctionRemoved(name string) ToolBox {
|
||||
delete(t.functions, name)
|
||||
return t
|
||||
}
|
||||
|
||||
func (t ToolBox) WithRequireTool(val bool) ToolBox {
|
||||
t.dontRequireTool = !val
|
||||
return t
|
||||
}
|
||||
|
||||
func (t ToolBox) RequiresTool() bool {
|
||||
return !t.dontRequireTool && len(t.functions) > 0
|
||||
}
|
||||
|
||||
func (t ToolBox) ToToolChoice() any {
|
||||
if len(t.functions) == 0 {
|
||||
return nil
|
||||
}
|
||||
|
||||
return "required"
|
||||
}
|
||||
|
||||
var (
|
||||
ErrFunctionNotFound = errors.New("function not found")
|
||||
)
|
||||
|
||||
func (t ToolBox) executeFunction(ctx *Context, functionName string, params string) (any, error) {
|
||||
// Check if this is an MCP tool
|
||||
if server, ok := t.mcpServers[functionName]; ok {
|
||||
var args map[string]any
|
||||
if params != "" {
|
||||
if err := json.Unmarshal([]byte(params), &args); err != nil {
|
||||
return nil, fmt.Errorf("failed to parse MCP tool arguments: %w", err)
|
||||
}
|
||||
}
|
||||
return server.CallTool(ctx, functionName, args)
|
||||
}
|
||||
|
||||
// Regular function
|
||||
f, ok := t.functions[functionName]
|
||||
|
||||
if !ok {
|
||||
return "", newError(ErrFunctionNotFound, fmt.Errorf("function \"%s\" not found", functionName))
|
||||
}
|
||||
|
||||
return f.Execute(ctx, params)
|
||||
}
|
||||
|
||||
func (t ToolBox) Execute(ctx *Context, toolCall ToolCall) (any, error) {
|
||||
return t.executeFunction(ctx.WithToolCall(&toolCall), toolCall.FunctionCall.Name, toolCall.FunctionCall.Arguments)
|
||||
}
|
||||
|
||||
func (t ToolBox) GetSyntheticParametersFromFunctionContext(ctx context.Context) map[string]string {
|
||||
val := ctx.Value("syntheticParameters")
|
||||
|
||||
if val == nil {
|
||||
return nil
|
||||
}
|
||||
|
||||
syntheticParameters, ok := val.(map[string]string)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
|
||||
return syntheticParameters
|
||||
}
|
||||
|
||||
// ExecuteCallbacks will execute all the tool calls in the given list, and call the given callbacks when a new function is created, and when a function is finished.
|
||||
// OnNewFunction is called when a new function is created
|
||||
// OnFunctionFinished is called when a function is finished
|
||||
func (t ToolBox) ExecuteCallbacks(ctx *Context, toolCalls []ToolCall, OnNewFunction func(ctx context.Context, funcName string, parameter string) (any, error), OnFunctionFinished func(ctx context.Context, funcName string, parameter string, result any, err error, newFunctionResult any) error) ([]ToolCallResponse, error) {
|
||||
var res []ToolCallResponse
|
||||
|
||||
for _, call := range toolCalls {
|
||||
ctx := ctx.WithToolCall(&call)
|
||||
if call.FunctionCall.Name == "" {
|
||||
return nil, newError(ErrFunctionNotFound, errors.New("function name is empty"))
|
||||
}
|
||||
|
||||
var arg any
|
||||
if OnNewFunction != nil {
|
||||
var err error
|
||||
arg, err = OnNewFunction(ctx, call.FunctionCall.Name, call.FunctionCall.Arguments)
|
||||
|
||||
if err != nil {
|
||||
return nil, newError(ErrFunctionNotFound, err)
|
||||
}
|
||||
}
|
||||
out, err := t.Execute(ctx, call)
|
||||
|
||||
if OnFunctionFinished != nil {
|
||||
err := OnFunctionFinished(ctx, call.FunctionCall.Name, call.FunctionCall.Arguments, out, err, arg)
|
||||
if err != nil {
|
||||
return nil, newError(ErrFunctionNotFound, err)
|
||||
}
|
||||
}
|
||||
|
||||
res = append(res, ToolCallResponse{
|
||||
ID: call.ID,
|
||||
Result: out,
|
||||
Error: err,
|
||||
})
|
||||
}
|
||||
|
||||
return res, nil
|
||||
}
|
||||
-145
@@ -1,145 +0,0 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"context"
|
||||
"fmt"
|
||||
"os"
|
||||
"os/exec"
|
||||
"path/filepath"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// Transcriber abstracts a speech-to-text model implementation.
|
||||
type Transcriber interface {
|
||||
Transcribe(ctx context.Context, wav []byte, opts TranscriptionOptions) (Transcription, error)
|
||||
}
|
||||
|
||||
// TranscriptionResponseFormat controls the output format requested from a transcriber.
|
||||
type TranscriptionResponseFormat string
|
||||
|
||||
const (
|
||||
TranscriptionResponseFormatJSON TranscriptionResponseFormat = "json"
|
||||
TranscriptionResponseFormatVerboseJSON TranscriptionResponseFormat = "verbose_json"
|
||||
TranscriptionResponseFormatText TranscriptionResponseFormat = "text"
|
||||
TranscriptionResponseFormatSRT TranscriptionResponseFormat = "srt"
|
||||
TranscriptionResponseFormatVTT TranscriptionResponseFormat = "vtt"
|
||||
)
|
||||
|
||||
// TranscriptionTimestampGranularity defines the requested timestamp detail.
|
||||
type TranscriptionTimestampGranularity string
|
||||
|
||||
const (
|
||||
TranscriptionTimestampGranularityWord TranscriptionTimestampGranularity = "word"
|
||||
TranscriptionTimestampGranularitySegment TranscriptionTimestampGranularity = "segment"
|
||||
)
|
||||
|
||||
// TranscriptionOptions configures transcription behavior.
|
||||
type TranscriptionOptions struct {
|
||||
Language string
|
||||
Prompt string
|
||||
Temperature *float64
|
||||
ResponseFormat TranscriptionResponseFormat
|
||||
TimestampGranularities []TranscriptionTimestampGranularity
|
||||
IncludeLogprobs bool
|
||||
}
|
||||
|
||||
// Transcription captures a normalized transcription result.
|
||||
type Transcription struct {
|
||||
Provider string
|
||||
Model string
|
||||
Text string
|
||||
Language string
|
||||
DurationSeconds float64
|
||||
Segments []TranscriptionSegment
|
||||
Words []TranscriptionWord
|
||||
Logprobs []TranscriptionTokenLogprob
|
||||
Usage TranscriptionUsage
|
||||
RawJSON string
|
||||
}
|
||||
|
||||
// TranscriptionSegment provides a coarse time-sliced transcription segment.
|
||||
type TranscriptionSegment struct {
|
||||
ID int
|
||||
Start float64
|
||||
End float64
|
||||
Text string
|
||||
Tokens []int
|
||||
AvgLogprob *float64
|
||||
CompressionRatio *float64
|
||||
NoSpeechProb *float64
|
||||
Words []TranscriptionWord
|
||||
}
|
||||
|
||||
// TranscriptionWord provides a word-level timestamp.
|
||||
type TranscriptionWord struct {
|
||||
Word string
|
||||
Start float64
|
||||
End float64
|
||||
Confidence *float64
|
||||
}
|
||||
|
||||
// TranscriptionTokenLogprob captures token-level log probability details.
|
||||
type TranscriptionTokenLogprob struct {
|
||||
Token string
|
||||
Bytes []float64
|
||||
Logprob float64
|
||||
}
|
||||
|
||||
// TranscriptionUsage captures token or duration usage details.
|
||||
type TranscriptionUsage struct {
|
||||
Type string
|
||||
InputTokens int64
|
||||
OutputTokens int64
|
||||
TotalTokens int64
|
||||
AudioTokens int64
|
||||
TextTokens int64
|
||||
Seconds float64
|
||||
}
|
||||
|
||||
// TranscribeFile converts an audio file to WAV and transcribes it.
|
||||
func TranscribeFile(ctx context.Context, filename string, transcriber Transcriber, opts TranscriptionOptions) (Transcription, error) {
|
||||
if transcriber == nil {
|
||||
return Transcription{}, fmt.Errorf("transcriber is nil")
|
||||
}
|
||||
|
||||
wav, err := audioFileToWav(ctx, filename)
|
||||
if err != nil {
|
||||
return Transcription{}, err
|
||||
}
|
||||
|
||||
return transcriber.Transcribe(ctx, wav, opts)
|
||||
}
|
||||
|
||||
func audioFileToWav(ctx context.Context, filename string) ([]byte, error) {
|
||||
if filename == "" {
|
||||
return nil, fmt.Errorf("filename is empty")
|
||||
}
|
||||
|
||||
if strings.EqualFold(filepath.Ext(filename), ".wav") {
|
||||
data, err := os.ReadFile(filename)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("read wav file: %w", err)
|
||||
}
|
||||
return data, nil
|
||||
}
|
||||
|
||||
tempFile, err := os.CreateTemp("", "go-llm-audio-*.wav")
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("create temp wav file: %w", err)
|
||||
}
|
||||
tempPath := tempFile.Name()
|
||||
_ = tempFile.Close()
|
||||
defer os.Remove(tempPath)
|
||||
|
||||
cmd := exec.CommandContext(ctx, "ffmpeg", "-hide_banner", "-loglevel", "error", "-y", "-i", filename, "-vn", "-f", "wav", tempPath)
|
||||
if output, err := cmd.CombinedOutput(); err != nil {
|
||||
return nil, fmt.Errorf("ffmpeg convert failed: %w (output: %s)", err, strings.TrimSpace(string(output)))
|
||||
}
|
||||
|
||||
data, err := os.ReadFile(tempPath)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("read converted wav file: %w", err)
|
||||
}
|
||||
|
||||
return data, nil
|
||||
}
|
||||
@@ -0,0 +1,27 @@
|
||||
# go-llm CLI environment variables
|
||||
# Copy this file to .env and fill in the keys for providers you use.
|
||||
|
||||
# OpenAI API Key (https://platform.openai.com/api-keys)
|
||||
OPENAI_API_KEY=
|
||||
|
||||
# Anthropic API Key (https://console.anthropic.com/settings/keys)
|
||||
ANTHROPIC_API_KEY=
|
||||
|
||||
# Google AI API Key (https://aistudio.google.com/apikey)
|
||||
GOOGLE_API_KEY=
|
||||
|
||||
# DeepSeek API Key (https://platform.deepseek.com)
|
||||
DEEPSEEK_API_KEY=
|
||||
|
||||
# Moonshot / Kimi API Key (https://platform.moonshot.ai)
|
||||
MOONSHOT_API_KEY=
|
||||
|
||||
# xAI / Grok API Key (https://x.ai/api)
|
||||
XAI_API_KEY=
|
||||
|
||||
# Groq API Key (https://console.groq.com/keys)
|
||||
GROQ_API_KEY=
|
||||
|
||||
# Ollama runs locally with no API key required.
|
||||
# Override the endpoint if you're not using localhost:11434.
|
||||
# OLLAMA_BASE_URL=http://localhost:11434/v1
|
||||
@@ -0,0 +1,136 @@
|
||||
package main
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/base64"
|
||||
"fmt"
|
||||
"net/http"
|
||||
"os"
|
||||
"strings"
|
||||
|
||||
tea "github.com/charmbracelet/bubbletea"
|
||||
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm/v2"
|
||||
)
|
||||
|
||||
// Message types for async operations.
|
||||
|
||||
// ChatResponseMsg contains the response from a chat completion.
|
||||
type ChatResponseMsg struct {
|
||||
Response llm.Response
|
||||
Err error
|
||||
}
|
||||
|
||||
// ToolExecutionMsg contains results from executing tool calls, one Message
|
||||
// (RoleTool) per ToolCall, in the same order.
|
||||
type ToolExecutionMsg struct {
|
||||
Results []llm.Message
|
||||
Err error
|
||||
}
|
||||
|
||||
// ImageLoadedMsg contains a loaded image.
|
||||
type ImageLoadedMsg struct {
|
||||
Image llm.Image
|
||||
Err error
|
||||
}
|
||||
|
||||
// sendChatRequest sends a completion request with the current conversation,
|
||||
// returning a ChatResponseMsg tea.Msg when the provider responds.
|
||||
func sendChatRequest(model *llm.Model, messages []llm.Message, toolbox *llm.ToolBox, toolsEnabled bool, temperature *float64) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
opts := buildOpts(toolbox, toolsEnabled, temperature)
|
||||
resp, err := model.Complete(context.Background(), messages, opts...)
|
||||
return ChatResponseMsg{Response: resp, Err: err}
|
||||
}
|
||||
}
|
||||
|
||||
// executeTools runs each tool call via the toolbox and returns ToolExecutionMsg
|
||||
// with one RoleTool Message per call, in the same order.
|
||||
func executeTools(toolbox *llm.ToolBox, calls []llm.ToolCall) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
ctx := context.Background()
|
||||
results, err := toolbox.ExecuteAll(ctx, calls)
|
||||
return ToolExecutionMsg{Results: results, Err: err}
|
||||
}
|
||||
}
|
||||
|
||||
// buildOpts constructs RequestOptions from the current CLI state.
|
||||
func buildOpts(toolbox *llm.ToolBox, toolsEnabled bool, temperature *float64) []llm.RequestOption {
|
||||
var opts []llm.RequestOption
|
||||
if toolsEnabled && toolbox != nil && len(toolbox.AllTools()) > 0 {
|
||||
opts = append(opts, llm.WithTools(toolbox))
|
||||
}
|
||||
if temperature != nil {
|
||||
opts = append(opts, llm.WithTemperature(*temperature))
|
||||
}
|
||||
return opts
|
||||
}
|
||||
|
||||
// loadImageFromPath loads an image from a file path.
|
||||
func loadImageFromPath(path string) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
path = strings.TrimSpace(path)
|
||||
path = strings.Trim(path, "\"'")
|
||||
|
||||
data, err := os.ReadFile(path)
|
||||
if err != nil {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("failed to read image file: %w", err)}
|
||||
}
|
||||
|
||||
contentType := http.DetectContentType(data)
|
||||
if !strings.HasPrefix(contentType, "image/") {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("file is not an image: %s", contentType)}
|
||||
}
|
||||
|
||||
return ImageLoadedMsg{
|
||||
Image: llm.Image{
|
||||
Base64: base64.StdEncoding.EncodeToString(data),
|
||||
ContentType: contentType,
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// loadImageFromURL loads an image from a URL (kept as URL, not fetched).
|
||||
func loadImageFromURL(url string) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
return ImageLoadedMsg{Image: llm.Image{URL: strings.TrimSpace(url)}}
|
||||
}
|
||||
}
|
||||
|
||||
// loadImageFromBase64 loads an image from base64 data (raw or data: URL).
|
||||
func loadImageFromBase64(data string) tea.Cmd {
|
||||
return func() tea.Msg {
|
||||
data = strings.TrimSpace(data)
|
||||
|
||||
if strings.HasPrefix(data, "data:") {
|
||||
parts := strings.SplitN(data, ",", 2)
|
||||
if len(parts) != 2 {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("invalid data URL format")}
|
||||
}
|
||||
mediaType := strings.TrimPrefix(parts[0], "data:")
|
||||
mediaType = strings.TrimSuffix(mediaType, ";base64")
|
||||
return ImageLoadedMsg{
|
||||
Image: llm.Image{
|
||||
Base64: parts[1],
|
||||
ContentType: mediaType,
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
decoded, err := base64.StdEncoding.DecodeString(data)
|
||||
if err != nil {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("invalid base64 data: %w", err)}
|
||||
}
|
||||
contentType := http.DetectContentType(decoded)
|
||||
if !strings.HasPrefix(contentType, "image/") {
|
||||
return ImageLoadedMsg{Err: fmt.Errorf("data is not an image: %s", contentType)}
|
||||
}
|
||||
return ImageLoadedMsg{
|
||||
Image: llm.Image{
|
||||
Base64: data,
|
||||
ContentType: contentType,
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -7,10 +7,10 @@ import (
|
||||
"github.com/charmbracelet/bubbles/viewport"
|
||||
tea "github.com/charmbracelet/bubbletea"
|
||||
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm"
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm/v2"
|
||||
)
|
||||
|
||||
// State represents the current view/screen of the application
|
||||
// State represents the current view/screen of the application.
|
||||
type State int
|
||||
|
||||
const (
|
||||
@@ -23,43 +23,42 @@ const (
|
||||
StateAPIKeyInput
|
||||
)
|
||||
|
||||
// DisplayMessage represents a message for display in the UI
|
||||
// DisplayMessage represents a message for display in the UI.
|
||||
type DisplayMessage struct {
|
||||
Role llm.Role
|
||||
Content string
|
||||
Images int // number of images attached
|
||||
}
|
||||
|
||||
// ProviderInfo contains information about a provider
|
||||
type ProviderInfo struct {
|
||||
Name string
|
||||
EnvVar string
|
||||
Models []string
|
||||
// ProviderEntry is a CLI-local view of a registered provider, enriched with
|
||||
// UI state (which model is currently chosen, whether we have a key, etc.).
|
||||
type ProviderEntry struct {
|
||||
Info llm.ProviderInfo
|
||||
HasAPIKey bool
|
||||
ModelIndex int
|
||||
}
|
||||
|
||||
// Model is the main Bubble Tea model
|
||||
// Model is the main Bubble Tea model.
|
||||
type Model struct {
|
||||
// State
|
||||
state State
|
||||
previousState State
|
||||
|
||||
// Provider
|
||||
provider llm.LLM
|
||||
client *llm.Client
|
||||
chat *llm.Model
|
||||
providerName string
|
||||
chat llm.ChatCompletion
|
||||
modelName string
|
||||
apiKeys map[string]string
|
||||
providers []ProviderInfo
|
||||
providers []ProviderEntry
|
||||
providerIndex int
|
||||
|
||||
// Conversation
|
||||
conversation []llm.Input
|
||||
conversation []llm.Message
|
||||
messages []DisplayMessage
|
||||
|
||||
// Tools
|
||||
toolbox llm.ToolBox
|
||||
toolbox *llm.ToolBox
|
||||
toolsEnabled bool
|
||||
|
||||
// Settings
|
||||
@@ -90,7 +89,7 @@ type Model struct {
|
||||
apiKeyInput textinput.Model
|
||||
}
|
||||
|
||||
// InitialModel creates and returns the initial model
|
||||
// InitialModel creates and returns the initial model.
|
||||
func InitialModel() Model {
|
||||
ti := textinput.New()
|
||||
ti.Placeholder = "Type your message..."
|
||||
@@ -104,60 +103,21 @@ func InitialModel() Model {
|
||||
aki.Width = 60
|
||||
aki.EchoMode = textinput.EchoPassword
|
||||
|
||||
// Initialize providers with environment variable checks
|
||||
providers := []ProviderInfo{
|
||||
{
|
||||
Name: "OpenAI",
|
||||
EnvVar: "OPENAI_API_KEY",
|
||||
Models: []string{
|
||||
"gpt-4.1",
|
||||
"gpt-4.1-mini",
|
||||
"gpt-4.1-nano",
|
||||
"gpt-4o",
|
||||
"gpt-4o-mini",
|
||||
"gpt-4-turbo",
|
||||
"gpt-3.5-turbo",
|
||||
"o1",
|
||||
"o1-mini",
|
||||
"o1-preview",
|
||||
"o3-mini",
|
||||
},
|
||||
},
|
||||
{
|
||||
Name: "Anthropic",
|
||||
EnvVar: "ANTHROPIC_API_KEY",
|
||||
Models: []string{
|
||||
"claude-sonnet-4-20250514",
|
||||
"claude-opus-4-20250514",
|
||||
"claude-3-7-sonnet-20250219",
|
||||
"claude-3-5-sonnet-20241022",
|
||||
"claude-3-5-haiku-20241022",
|
||||
"claude-3-opus-20240229",
|
||||
"claude-3-sonnet-20240229",
|
||||
"claude-3-haiku-20240307",
|
||||
},
|
||||
},
|
||||
{
|
||||
Name: "Google",
|
||||
EnvVar: "GOOGLE_API_KEY",
|
||||
Models: []string{
|
||||
"gemini-2.0-flash",
|
||||
"gemini-2.0-flash-lite",
|
||||
"gemini-1.5-pro",
|
||||
"gemini-1.5-flash",
|
||||
"gemini-1.5-flash-8b",
|
||||
"gemini-1.0-pro",
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
// Check for API keys in environment
|
||||
// Build provider list from the go-llm registry.
|
||||
registry := llm.Providers()
|
||||
providers := make([]ProviderEntry, len(registry))
|
||||
apiKeys := make(map[string]string)
|
||||
for i := range providers {
|
||||
if key := os.Getenv(providers[i].EnvVar); key != "" {
|
||||
apiKeys[providers[i].Name] = key
|
||||
providers[i].HasAPIKey = true
|
||||
|
||||
for i, info := range registry {
|
||||
entry := ProviderEntry{Info: info}
|
||||
if info.EnvKey == "" {
|
||||
// Key-less provider (e.g., Ollama).
|
||||
entry.HasAPIKey = true
|
||||
} else if key := os.Getenv(info.EnvKey); key != "" {
|
||||
apiKeys[info.Name] = key
|
||||
entry.HasAPIKey = true
|
||||
}
|
||||
providers[i] = entry
|
||||
}
|
||||
|
||||
m := Model{
|
||||
@@ -170,97 +130,87 @@ func InitialModel() Model {
|
||||
toolbox: createDemoToolbox(),
|
||||
toolsEnabled: false,
|
||||
messages: []DisplayMessage{},
|
||||
conversation: []llm.Input{},
|
||||
conversation: []llm.Message{},
|
||||
}
|
||||
|
||||
// Build list items for provider selection
|
||||
// Build list items for provider selection.
|
||||
m.listItems = make([]string, len(providers))
|
||||
for i, p := range providers {
|
||||
status := " (no key)"
|
||||
if p.HasAPIKey {
|
||||
status = " (ready)"
|
||||
if p.Info.EnvKey == "" {
|
||||
status = " (local)"
|
||||
}
|
||||
}
|
||||
m.listItems[i] = p.Name + status
|
||||
m.listItems[i] = p.Info.DisplayName + status
|
||||
}
|
||||
|
||||
return m
|
||||
}
|
||||
|
||||
// Init initializes the model
|
||||
// Init initializes the model.
|
||||
func (m Model) Init() tea.Cmd {
|
||||
return textinput.Blink
|
||||
}
|
||||
|
||||
// selectProvider sets up the selected provider
|
||||
// selectProvider sets up the selected provider.
|
||||
func (m *Model) selectProvider(index int) error {
|
||||
if index < 0 || index >= len(m.providers) {
|
||||
return nil
|
||||
}
|
||||
|
||||
p := m.providers[index]
|
||||
key, ok := m.apiKeys[p.Name]
|
||||
if !ok || key == "" {
|
||||
key := m.apiKeys[p.Info.Name] // empty for key-less providers like Ollama
|
||||
|
||||
if p.Info.EnvKey != "" && key == "" {
|
||||
return nil
|
||||
}
|
||||
|
||||
m.providerName = p.Name
|
||||
m.providerName = p.Info.DisplayName
|
||||
m.providerIndex = index
|
||||
m.client = p.Info.New(key)
|
||||
|
||||
switch p.Name {
|
||||
case "OpenAI":
|
||||
m.provider = llm.OpenAI(key)
|
||||
case "Anthropic":
|
||||
m.provider = llm.Anthropic(key)
|
||||
case "Google":
|
||||
m.provider = llm.Google(key)
|
||||
}
|
||||
|
||||
// Select default model
|
||||
if len(p.Models) > 0 {
|
||||
// Select default model.
|
||||
if len(p.Info.Models) > 0 {
|
||||
return m.selectModel(p.ModelIndex)
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
// selectModel sets the current model
|
||||
// selectModel sets the current model.
|
||||
func (m *Model) selectModel(index int) error {
|
||||
if m.provider == nil {
|
||||
if m.client == nil {
|
||||
return nil
|
||||
}
|
||||
|
||||
p := m.providers[m.providerIndex]
|
||||
if index < 0 || index >= len(p.Models) {
|
||||
if index < 0 || index >= len(p.Info.Models) {
|
||||
return nil
|
||||
}
|
||||
|
||||
modelName := p.Models[index]
|
||||
chat, err := m.provider.ModelVersion(modelName)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
m.chat = chat
|
||||
modelName := p.Info.Models[index]
|
||||
m.chat = m.client.Model(modelName)
|
||||
m.modelName = modelName
|
||||
m.providers[m.providerIndex].ModelIndex = index
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
// newConversation resets the conversation
|
||||
// newConversation resets the conversation.
|
||||
func (m *Model) newConversation() {
|
||||
m.conversation = []llm.Input{}
|
||||
m.conversation = []llm.Message{}
|
||||
m.messages = []DisplayMessage{}
|
||||
m.pendingImages = []llm.Image{}
|
||||
m.err = nil
|
||||
}
|
||||
|
||||
// addUserMessage adds a user message to the conversation
|
||||
// addUserMessage adds a user message to the conversation.
|
||||
func (m *Model) addUserMessage(text string, images []llm.Image) {
|
||||
msg := llm.Message{
|
||||
Role: llm.RoleUser,
|
||||
Text: text,
|
||||
Images: images,
|
||||
Role: llm.RoleUser,
|
||||
Content: llm.Content{Text: text, Images: images},
|
||||
}
|
||||
m.conversation = append(m.conversation, msg)
|
||||
m.messages = append(m.messages, DisplayMessage{
|
||||
@@ -270,7 +220,7 @@ func (m *Model) addUserMessage(text string, images []llm.Image) {
|
||||
})
|
||||
}
|
||||
|
||||
// addAssistantMessage adds an assistant message to the conversation
|
||||
// addAssistantMessage adds an assistant message to the conversation display.
|
||||
func (m *Model) addAssistantMessage(content string) {
|
||||
m.messages = append(m.messages, DisplayMessage{
|
||||
Role: llm.RoleAssistant,
|
||||
@@ -278,7 +228,7 @@ func (m *Model) addAssistantMessage(content string) {
|
||||
})
|
||||
}
|
||||
|
||||
// addToolCallMessage adds a tool call message to display
|
||||
// addToolCallMessage adds a tool call message to display.
|
||||
func (m *Model) addToolCallMessage(name string, args string) {
|
||||
m.messages = append(m.messages, DisplayMessage{
|
||||
Role: llm.Role("tool_call"),
|
||||
@@ -286,7 +236,7 @@ func (m *Model) addToolCallMessage(name string, args string) {
|
||||
})
|
||||
}
|
||||
|
||||
// addToolResultMessage adds a tool result message to display
|
||||
// addToolResultMessage adds a tool result message to display.
|
||||
func (m *Model) addToolResultMessage(name string, result string) {
|
||||
m.messages = append(m.messages, DisplayMessage{
|
||||
Role: llm.Role("tool_result"),
|
||||
@@ -0,0 +1,114 @@
|
||||
package main
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"math"
|
||||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm/v2"
|
||||
)
|
||||
|
||||
// TimeParams is the parameter struct for the GetTime function.
|
||||
type TimeParams struct{}
|
||||
|
||||
// GetTime returns the current time.
|
||||
func GetTime(_ context.Context, _ TimeParams) (string, error) {
|
||||
return time.Now().Format("Monday, January 2, 2006 3:04:05 PM MST"), nil
|
||||
}
|
||||
|
||||
// CalcParams is the parameter struct for the Calculate function.
|
||||
type CalcParams struct {
|
||||
A float64 `json:"a" description:"First number"`
|
||||
B float64 `json:"b" description:"Second number"`
|
||||
Op string `json:"op" description:"Operation: add, subtract, multiply, divide, power, sqrt, mod"`
|
||||
}
|
||||
|
||||
// Calculate performs basic math operations.
|
||||
func Calculate(_ context.Context, params CalcParams) (string, error) {
|
||||
var result float64
|
||||
switch strings.ToLower(params.Op) {
|
||||
case "add", "+":
|
||||
result = params.A + params.B
|
||||
case "subtract", "sub", "-":
|
||||
result = params.A - params.B
|
||||
case "multiply", "mul", "*":
|
||||
result = params.A * params.B
|
||||
case "divide", "div", "/":
|
||||
if params.B == 0 {
|
||||
return "", fmt.Errorf("division by zero")
|
||||
}
|
||||
result = params.A / params.B
|
||||
case "power", "pow", "^":
|
||||
result = math.Pow(params.A, params.B)
|
||||
case "sqrt":
|
||||
if params.A < 0 {
|
||||
return "", fmt.Errorf("cannot take square root of negative number")
|
||||
}
|
||||
result = math.Sqrt(params.A)
|
||||
case "mod", "%":
|
||||
result = math.Mod(params.A, params.B)
|
||||
default:
|
||||
return "", fmt.Errorf("unknown operation: %s", params.Op)
|
||||
}
|
||||
return strconv.FormatFloat(result, 'f', -1, 64), nil
|
||||
}
|
||||
|
||||
// WeatherParams is the parameter struct for the GetWeather function.
|
||||
type WeatherParams struct {
|
||||
Location string `json:"location" description:"City name or location"`
|
||||
}
|
||||
|
||||
// GetWeather returns mock weather data (for demo purposes).
|
||||
func GetWeather(_ context.Context, params WeatherParams) (string, error) {
|
||||
weathers := []string{"sunny", "cloudy", "rainy", "partly cloudy", "windy"}
|
||||
temps := []int{65, 72, 58, 80, 45}
|
||||
idx := len(params.Location) % len(weathers)
|
||||
|
||||
out := map[string]any{
|
||||
"location": params.Location,
|
||||
"temperature": strconv.Itoa(temps[idx]) + "F",
|
||||
"condition": weathers[idx],
|
||||
"humidity": "45%",
|
||||
"note": "This is mock data for demonstration purposes",
|
||||
}
|
||||
b, err := json.Marshal(out)
|
||||
if err != nil {
|
||||
return "", err
|
||||
}
|
||||
return string(b), nil
|
||||
}
|
||||
|
||||
// RandomNumberParams is the parameter struct for the RandomNumber function.
|
||||
type RandomNumberParams struct {
|
||||
Min int `json:"min" description:"Minimum value (inclusive)"`
|
||||
Max int `json:"max" description:"Maximum value (inclusive)"`
|
||||
}
|
||||
|
||||
// RandomNumber generates a pseudo-random number (using current time nanoseconds).
|
||||
func RandomNumber(_ context.Context, params RandomNumberParams) (string, error) {
|
||||
if params.Min > params.Max {
|
||||
return "", fmt.Errorf("min cannot be greater than max")
|
||||
}
|
||||
n := time.Now().UnixNano()
|
||||
rangeSize := params.Max - params.Min + 1
|
||||
result := params.Min + int(n%int64(rangeSize))
|
||||
return strconv.Itoa(result), nil
|
||||
}
|
||||
|
||||
// createDemoToolbox creates a toolbox with demo tools for testing.
|
||||
func createDemoToolbox() *llm.ToolBox {
|
||||
return llm.NewToolBox(
|
||||
llm.Define[TimeParams]("get_time", "Get the current date and time", GetTime),
|
||||
llm.Define[CalcParams]("calculate",
|
||||
"Perform basic math operations (add, subtract, multiply, divide, power, sqrt, mod)",
|
||||
Calculate),
|
||||
llm.Define[WeatherParams]("get_weather",
|
||||
"Get weather information for a location (demo data)", GetWeather),
|
||||
llm.Define[RandomNumberParams]("random_number",
|
||||
"Generate a random number between min and max", RandomNumber),
|
||||
)
|
||||
}
|
||||
@@ -8,14 +8,14 @@ import (
|
||||
"github.com/charmbracelet/bubbles/viewport"
|
||||
tea "github.com/charmbracelet/bubbletea"
|
||||
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm"
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm/v2"
|
||||
)
|
||||
|
||||
// pendingRequest stores the request being processed for follow-up
|
||||
var pendingRequest llm.Request
|
||||
var pendingResponse llm.ResponseChoice
|
||||
// pendingToolCalls stores the last response's tool calls so we can pair them
|
||||
// with tool execution results for display.
|
||||
var pendingToolCalls []llm.ToolCall
|
||||
|
||||
// Update handles messages and updates the model
|
||||
// Update handles messages and updates the model.
|
||||
func (m Model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
|
||||
var cmd tea.Cmd
|
||||
var cmds []tea.Cmd
|
||||
@@ -53,40 +53,30 @@ func (m Model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
|
||||
return m, nil
|
||||
}
|
||||
|
||||
if len(msg.Response.Choices) == 0 {
|
||||
m.err = fmt.Errorf("no response choices returned")
|
||||
return m, nil
|
||||
resp := msg.Response
|
||||
|
||||
// Add the assistant message to the conversation history.
|
||||
m.conversation = append(m.conversation, resp.Message())
|
||||
|
||||
// Show any text the assistant produced alongside tool calls.
|
||||
if resp.Text != "" {
|
||||
m.addAssistantMessage(resp.Text)
|
||||
}
|
||||
|
||||
choice := msg.Response.Choices[0]
|
||||
if resp.HasToolCalls() && m.toolsEnabled {
|
||||
pendingToolCalls = resp.ToolCalls
|
||||
|
||||
// Check for tool calls
|
||||
if len(choice.Calls) > 0 && m.toolsEnabled {
|
||||
// Store for follow-up
|
||||
pendingResponse = choice
|
||||
|
||||
// Add assistant's response to conversation if there's content
|
||||
if choice.Content != "" {
|
||||
m.addAssistantMessage(choice.Content)
|
||||
}
|
||||
|
||||
// Display tool calls
|
||||
for _, call := range choice.Calls {
|
||||
m.addToolCallMessage(call.FunctionCall.Name, call.FunctionCall.Arguments)
|
||||
for _, call := range resp.ToolCalls {
|
||||
m.addToolCallMessage(call.Name, call.Arguments)
|
||||
}
|
||||
|
||||
m.viewport.SetContent(m.renderMessages())
|
||||
m.viewport.GotoBottom()
|
||||
|
||||
// Execute tools
|
||||
m.loading = true
|
||||
return m, executeTools(m.toolbox, pendingRequest, choice)
|
||||
return m, executeTools(m.toolbox, resp.ToolCalls)
|
||||
}
|
||||
|
||||
// Regular response - add to conversation and display
|
||||
m.conversation = append(m.conversation, choice)
|
||||
m.addAssistantMessage(choice.Content)
|
||||
|
||||
m.viewport.SetContent(m.renderMessages())
|
||||
m.viewport.GotoBottom()
|
||||
|
||||
@@ -97,31 +87,24 @@ func (m Model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
|
||||
return m, nil
|
||||
}
|
||||
|
||||
// Display tool results
|
||||
// Display results paired with the tool calls that produced them.
|
||||
for i, result := range msg.Results {
|
||||
name := pendingResponse.Calls[i].FunctionCall.Name
|
||||
resultStr := fmt.Sprintf("%v", result.Result)
|
||||
if result.Error != nil {
|
||||
resultStr = "Error: " + result.Error.Error()
|
||||
name := ""
|
||||
if i < len(pendingToolCalls) {
|
||||
name = pendingToolCalls[i].Name
|
||||
}
|
||||
m.addToolResultMessage(name, resultStr)
|
||||
m.addToolResultMessage(name, result.Content.Text)
|
||||
}
|
||||
|
||||
// Add tool call responses to conversation
|
||||
for _, result := range msg.Results {
|
||||
m.conversation = append(m.conversation, result)
|
||||
}
|
||||
|
||||
// Add the assistant's response to conversation
|
||||
m.conversation = append(m.conversation, pendingResponse)
|
||||
// Append the raw tool result messages to the conversation so the
|
||||
// assistant can reference them on the next turn.
|
||||
m.conversation = append(m.conversation, msg.Results...)
|
||||
|
||||
m.viewport.SetContent(m.renderMessages())
|
||||
m.viewport.GotoBottom()
|
||||
|
||||
// Send follow-up request
|
||||
followUp := buildFollowUpRequest(&m, pendingRequest, pendingResponse, msg.Results)
|
||||
pendingRequest = followUp
|
||||
return m, sendChatRequest(m.chat, followUp)
|
||||
// Ask the model to continue given the tool results.
|
||||
return m, sendChatRequest(m.chat, m.conversation, m.toolbox, m.toolsEnabled, m.temperature)
|
||||
|
||||
case ImageLoadedMsg:
|
||||
if msg.Err != nil {
|
||||
@@ -135,7 +118,7 @@ func (m Model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
|
||||
m.err = nil
|
||||
|
||||
default:
|
||||
// Update text input
|
||||
// Update text input.
|
||||
if m.state == StateChat {
|
||||
m.input, cmd = m.input.Update(msg)
|
||||
cmds = append(cmds, cmd)
|
||||
@@ -148,13 +131,11 @@ func (m Model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
|
||||
return m, tea.Batch(cmds...)
|
||||
}
|
||||
|
||||
// handleKeyMsg handles keyboard input
|
||||
// handleKeyMsg handles keyboard input.
|
||||
func (m Model) handleKeyMsg(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
// Global key handling
|
||||
switch msg.String() {
|
||||
case "ctrl+c":
|
||||
return m, tea.Quit
|
||||
|
||||
case "esc":
|
||||
if m.state != StateChat {
|
||||
m.state = StateChat
|
||||
@@ -164,7 +145,6 @@ func (m Model) handleKeyMsg(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
return m, tea.Quit
|
||||
}
|
||||
|
||||
// State-specific key handling
|
||||
switch m.state {
|
||||
case StateChat:
|
||||
return m.handleChatKeys(msg)
|
||||
@@ -185,7 +165,7 @@ func (m Model) handleKeyMsg(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
return m, nil
|
||||
}
|
||||
|
||||
// handleChatKeys handles keys in chat state
|
||||
// handleChatKeys handles keys in chat state.
|
||||
func (m Model) handleChatKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
switch msg.String() {
|
||||
case "enter":
|
||||
@@ -203,14 +183,13 @@ func (m Model) handleChatKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
return m, nil
|
||||
}
|
||||
|
||||
// Build and send request
|
||||
req := buildRequest(&m, text)
|
||||
pendingRequest = req
|
||||
// Ensure a system message is at the head of the conversation.
|
||||
if len(m.conversation) == 0 && m.systemPrompt != "" {
|
||||
m.conversation = append(m.conversation, llm.SystemMessage(m.systemPrompt))
|
||||
}
|
||||
|
||||
// Add user message to display
|
||||
m.addUserMessage(text, m.pendingImages)
|
||||
|
||||
// Clear input and pending images
|
||||
m.input.Reset()
|
||||
m.pendingImages = nil
|
||||
m.err = nil
|
||||
@@ -219,7 +198,7 @@ func (m Model) handleChatKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
m.viewport.SetContent(m.renderMessages())
|
||||
m.viewport.GotoBottom()
|
||||
|
||||
return m, sendChatRequest(m.chat, req)
|
||||
return m, sendChatRequest(m.chat, m.conversation, m.toolbox, m.toolsEnabled, m.temperature)
|
||||
|
||||
case "ctrl+i":
|
||||
m.previousState = StateChat
|
||||
@@ -238,12 +217,12 @@ func (m Model) handleChatKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
return m, nil
|
||||
|
||||
case "ctrl+m":
|
||||
if m.provider == nil {
|
||||
if m.client == nil {
|
||||
m.err = fmt.Errorf("select a provider first")
|
||||
return m, nil
|
||||
}
|
||||
m.state = StateModelSelect
|
||||
m.listItems = m.providers[m.providerIndex].Models
|
||||
m.listItems = m.providers[m.providerIndex].Info.Models
|
||||
m.listIndex = m.providers[m.providerIndex].ModelIndex
|
||||
return m, nil
|
||||
|
||||
@@ -268,7 +247,7 @@ func (m Model) handleChatKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
}
|
||||
}
|
||||
|
||||
// handleProviderSelectKeys handles keys in provider selection state
|
||||
// handleProviderSelectKeys handles keys in provider selection state.
|
||||
func (m Model) handleProviderSelectKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
switch msg.String() {
|
||||
case "up", "k":
|
||||
@@ -282,15 +261,13 @@ func (m Model) handleProviderSelectKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
case "enter":
|
||||
p := m.providers[m.listIndex]
|
||||
if !p.HasAPIKey {
|
||||
// Need to get API key
|
||||
m.state = StateAPIKeyInput
|
||||
m.apiKeyInput.Focus()
|
||||
m.apiKeyInput.SetValue("")
|
||||
return m, textinput.Blink
|
||||
}
|
||||
|
||||
err := m.selectProvider(m.listIndex)
|
||||
if err != nil {
|
||||
if err := m.selectProvider(m.listIndex); err != nil {
|
||||
m.err = err
|
||||
return m, nil
|
||||
}
|
||||
@@ -303,7 +280,7 @@ func (m Model) handleProviderSelectKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
return m, nil
|
||||
}
|
||||
|
||||
// handleAPIKeyInputKeys handles keys in API key input state
|
||||
// handleAPIKeyInputKeys handles keys in API key input state.
|
||||
func (m Model) handleAPIKeyInputKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
switch msg.String() {
|
||||
case "enter":
|
||||
@@ -312,23 +289,22 @@ func (m Model) handleAPIKeyInputKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
return m, nil
|
||||
}
|
||||
|
||||
// Store the API key
|
||||
p := m.providers[m.listIndex]
|
||||
m.apiKeys[p.Name] = key
|
||||
m.apiKeys[p.Info.Name] = key
|
||||
m.providers[m.listIndex].HasAPIKey = true
|
||||
|
||||
// Update list items
|
||||
for i, prov := range m.providers {
|
||||
status := " (no key)"
|
||||
if prov.HasAPIKey {
|
||||
status = " (ready)"
|
||||
if prov.Info.EnvKey == "" {
|
||||
status = " (local)"
|
||||
}
|
||||
}
|
||||
m.listItems[i] = prov.Name + status
|
||||
m.listItems[i] = prov.Info.DisplayName + status
|
||||
}
|
||||
|
||||
// Select the provider
|
||||
err := m.selectProvider(m.listIndex)
|
||||
if err != nil {
|
||||
if err := m.selectProvider(m.listIndex); err != nil {
|
||||
m.err = err
|
||||
return m, nil
|
||||
}
|
||||
@@ -345,7 +321,7 @@ func (m Model) handleAPIKeyInputKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
}
|
||||
}
|
||||
|
||||
// handleModelSelectKeys handles keys in model selection state
|
||||
// handleModelSelectKeys handles keys in model selection state.
|
||||
func (m Model) handleModelSelectKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
switch msg.String() {
|
||||
case "up", "k":
|
||||
@@ -357,8 +333,7 @@ func (m Model) handleModelSelectKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
m.listIndex++
|
||||
}
|
||||
case "enter":
|
||||
err := m.selectModel(m.listIndex)
|
||||
if err != nil {
|
||||
if err := m.selectModel(m.listIndex); err != nil {
|
||||
m.err = err
|
||||
return m, nil
|
||||
}
|
||||
@@ -368,7 +343,7 @@ func (m Model) handleModelSelectKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
return m, nil
|
||||
}
|
||||
|
||||
// handleImageInputKeys handles keys in image input state
|
||||
// handleImageInputKeys handles keys in image input state.
|
||||
func (m Model) handleImageInputKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
switch msg.String() {
|
||||
case "enter":
|
||||
@@ -381,12 +356,12 @@ func (m Model) handleImageInputKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
|
||||
m.input.Placeholder = "Type your message..."
|
||||
|
||||
// Determine input type and load
|
||||
if strings.HasPrefix(input, "http://") || strings.HasPrefix(input, "https://") {
|
||||
switch {
|
||||
case strings.HasPrefix(input, "http://") || strings.HasPrefix(input, "https://"):
|
||||
return m, loadImageFromURL(input)
|
||||
} else if strings.HasPrefix(input, "data:") || len(input) > 100 && !strings.Contains(input, "/") && !strings.Contains(input, "\\") {
|
||||
case strings.HasPrefix(input, "data:") || (len(input) > 100 && !strings.Contains(input, "/") && !strings.Contains(input, "\\")):
|
||||
return m, loadImageFromBase64(input)
|
||||
} else {
|
||||
default:
|
||||
return m, loadImageFromPath(input)
|
||||
}
|
||||
|
||||
@@ -397,7 +372,7 @@ func (m Model) handleImageInputKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
}
|
||||
}
|
||||
|
||||
// handleToolsPanelKeys handles keys in tools panel state
|
||||
// handleToolsPanelKeys handles keys in tools panel state.
|
||||
func (m Model) handleToolsPanelKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
switch msg.String() {
|
||||
case "t":
|
||||
@@ -409,11 +384,10 @@ func (m Model) handleToolsPanelKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
return m, nil
|
||||
}
|
||||
|
||||
// handleSettingsKeys handles keys in settings state
|
||||
// handleSettingsKeys handles keys in settings state.
|
||||
func (m Model) handleSettingsKeys(msg tea.KeyMsg) (tea.Model, tea.Cmd) {
|
||||
switch msg.String() {
|
||||
case "1":
|
||||
// Set temperature to nil (default)
|
||||
m.temperature = nil
|
||||
case "2":
|
||||
t := 0.0
|
||||
@@ -6,10 +6,10 @@ import (
|
||||
|
||||
"github.com/charmbracelet/lipgloss"
|
||||
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm"
|
||||
llm "gitea.stevedudenhoeffer.com/steve/go-llm/v2"
|
||||
)
|
||||
|
||||
// View renders the current state
|
||||
// View renders the current state.
|
||||
func (m Model) View() string {
|
||||
switch m.state {
|
||||
case StateProviderSelect:
|
||||
@@ -29,11 +29,10 @@ func (m Model) View() string {
|
||||
}
|
||||
}
|
||||
|
||||
// renderChat renders the main chat view
|
||||
// renderChat renders the main chat view.
|
||||
func (m Model) renderChat() string {
|
||||
var b strings.Builder
|
||||
|
||||
// Header
|
||||
provider := m.providerName
|
||||
if provider == "" {
|
||||
provider = "None"
|
||||
@@ -49,43 +48,37 @@ func (m Model) renderChat() string {
|
||||
b.WriteString(header)
|
||||
b.WriteString("\n")
|
||||
|
||||
// Messages viewport
|
||||
if m.viewportReady {
|
||||
b.WriteString(m.viewport.View())
|
||||
b.WriteString("\n")
|
||||
}
|
||||
|
||||
// Image indicator
|
||||
if len(m.pendingImages) > 0 {
|
||||
b.WriteString(imageIndicatorStyle.Render(fmt.Sprintf(" [%d image(s) attached]", len(m.pendingImages))))
|
||||
b.WriteString("\n")
|
||||
}
|
||||
|
||||
// Error
|
||||
if m.err != nil {
|
||||
b.WriteString(errorStyle.Render(" Error: " + m.err.Error()))
|
||||
b.WriteString("\n")
|
||||
}
|
||||
|
||||
// Loading
|
||||
if m.loading {
|
||||
b.WriteString(loadingStyle.Render(" Thinking..."))
|
||||
b.WriteString("\n")
|
||||
}
|
||||
|
||||
// Input
|
||||
inputBox := inputStyle.Render(m.input.View())
|
||||
b.WriteString(inputBox)
|
||||
b.WriteString("\n")
|
||||
|
||||
// Help
|
||||
help := inputHelpStyle.Render("Enter: send | Ctrl+I: image | Ctrl+T: tools | Ctrl+P: provider | Ctrl+M: model | Ctrl+S: settings | Ctrl+N: new | Esc: quit")
|
||||
b.WriteString(help)
|
||||
|
||||
return appStyle.Render(b.String())
|
||||
}
|
||||
|
||||
// renderMessages renders all messages for the viewport
|
||||
// renderMessages renders all messages for the viewport.
|
||||
func (m Model) renderMessages() string {
|
||||
var b strings.Builder
|
||||
|
||||
@@ -133,7 +126,7 @@ func (m Model) renderMessages() string {
|
||||
return b.String()
|
||||
}
|
||||
|
||||
// renderProviderSelect renders the provider selection view
|
||||
// renderProviderSelect renders the provider selection view.
|
||||
func (m Model) renderProviderSelect() string {
|
||||
var b strings.Builder
|
||||
|
||||
@@ -157,16 +150,18 @@ func (m Model) renderProviderSelect() string {
|
||||
return appStyle.Render(b.String())
|
||||
}
|
||||
|
||||
// renderAPIKeyInput renders the API key input view
|
||||
// renderAPIKeyInput renders the API key input view.
|
||||
func (m Model) renderAPIKeyInput() string {
|
||||
var b strings.Builder
|
||||
|
||||
provider := m.providers[m.listIndex]
|
||||
|
||||
b.WriteString(headerStyle.Render(fmt.Sprintf("Enter API Key for %s", provider.Name)))
|
||||
b.WriteString(headerStyle.Render(fmt.Sprintf("Enter API Key for %s", provider.Info.DisplayName)))
|
||||
b.WriteString("\n\n")
|
||||
|
||||
b.WriteString(fmt.Sprintf("Environment variable: %s\n\n", provider.EnvVar))
|
||||
if provider.Info.EnvKey != "" {
|
||||
b.WriteString(fmt.Sprintf("Environment variable: %s\n\n", provider.Info.EnvKey))
|
||||
}
|
||||
b.WriteString("Enter your API key below (it will be hidden):\n\n")
|
||||
|
||||
inputBox := inputStyle.Render(m.apiKeyInput.View())
|
||||
@@ -178,7 +173,7 @@ func (m Model) renderAPIKeyInput() string {
|
||||
return appStyle.Render(b.String())
|
||||
}
|
||||
|
||||
// renderModelSelect renders the model selection view
|
||||
// renderModelSelect renders the model selection view.
|
||||
func (m Model) renderModelSelect() string {
|
||||
var b strings.Builder
|
||||
|
||||
@@ -205,7 +200,7 @@ func (m Model) renderModelSelect() string {
|
||||
return appStyle.Render(b.String())
|
||||
}
|
||||
|
||||
// renderImageInput renders the image input view
|
||||
// renderImageInput renders the image input view.
|
||||
func (m Model) renderImageInput() string {
|
||||
var b strings.Builder
|
||||
|
||||
@@ -230,7 +225,7 @@ func (m Model) renderImageInput() string {
|
||||
return appStyle.Render(b.String())
|
||||
}
|
||||
|
||||
// renderToolsPanel renders the tools panel
|
||||
// renderToolsPanel renders the tools panel.
|
||||
func (m Model) renderToolsPanel() string {
|
||||
var b strings.Builder
|
||||
|
||||
@@ -249,8 +244,10 @@ func (m Model) renderToolsPanel() string {
|
||||
b.WriteString("\n\n")
|
||||
|
||||
b.WriteString("Available tools:\n")
|
||||
for _, fn := range m.toolbox.Functions() {
|
||||
b.WriteString(fmt.Sprintf(" - %s: %s\n", selectedItemStyle.Render(fn.Name), fn.Description))
|
||||
if m.toolbox != nil {
|
||||
for _, t := range m.toolbox.AllTools() {
|
||||
b.WriteString(fmt.Sprintf(" - %s: %s\n", selectedItemStyle.Render(t.Name), t.Description))
|
||||
}
|
||||
}
|
||||
|
||||
b.WriteString("\n")
|
||||
@@ -259,14 +256,13 @@ func (m Model) renderToolsPanel() string {
|
||||
return appStyle.Render(b.String())
|
||||
}
|
||||
|
||||
// renderSettings renders the settings view
|
||||
// renderSettings renders the settings view.
|
||||
func (m Model) renderSettings() string {
|
||||
var b strings.Builder
|
||||
|
||||
b.WriteString(headerStyle.Render("Settings"))
|
||||
b.WriteString("\n\n")
|
||||
|
||||
// Temperature
|
||||
tempStr := "default"
|
||||
if m.temperature != nil {
|
||||
tempStr = fmt.Sprintf("%.1f", *m.temperature)
|
||||
@@ -284,7 +280,6 @@ func (m Model) renderSettings() string {
|
||||
|
||||
b.WriteString("\n")
|
||||
|
||||
// System prompt
|
||||
b.WriteString(settingLabelStyle.Render("System Prompt:"))
|
||||
b.WriteString("\n")
|
||||
b.WriteString(settingValueStyle.Render(" " + m.systemPrompt))
|
||||
@@ -2,8 +2,13 @@ package llm
|
||||
|
||||
import (
|
||||
anthProvider "gitea.stevedudenhoeffer.com/steve/go-llm/v2/anthropic"
|
||||
deepseekProvider "gitea.stevedudenhoeffer.com/steve/go-llm/v2/deepseek"
|
||||
googleProvider "gitea.stevedudenhoeffer.com/steve/go-llm/v2/google"
|
||||
groqProvider "gitea.stevedudenhoeffer.com/steve/go-llm/v2/groq"
|
||||
moonshotProvider "gitea.stevedudenhoeffer.com/steve/go-llm/v2/moonshot"
|
||||
ollamaProvider "gitea.stevedudenhoeffer.com/steve/go-llm/v2/ollama"
|
||||
openaiProvider "gitea.stevedudenhoeffer.com/steve/go-llm/v2/openai"
|
||||
xaiProvider "gitea.stevedudenhoeffer.com/steve/go-llm/v2/xai"
|
||||
)
|
||||
|
||||
// OpenAI creates an OpenAI client.
|
||||
@@ -46,3 +51,69 @@ func Google(apiKey string, opts ...ClientOption) *Client {
|
||||
_ = cfg // Google doesn't support custom base URL in the SDK
|
||||
return NewClient(googleProvider.New(apiKey))
|
||||
}
|
||||
|
||||
// DeepSeek creates a DeepSeek client (OpenAI-compatible).
|
||||
//
|
||||
// Example:
|
||||
//
|
||||
// model := llm.DeepSeek("sk-...").Model("deepseek-chat")
|
||||
func DeepSeek(apiKey string, opts ...ClientOption) *Client {
|
||||
cfg := &clientConfig{}
|
||||
for _, opt := range opts {
|
||||
opt(cfg)
|
||||
}
|
||||
return NewClient(deepseekProvider.New(apiKey, cfg.baseURL))
|
||||
}
|
||||
|
||||
// Moonshot creates a Moonshot AI (Kimi) client (OpenAI-compatible).
|
||||
//
|
||||
// Example:
|
||||
//
|
||||
// model := llm.Moonshot("sk-...").Model("kimi-k2-0711-preview")
|
||||
func Moonshot(apiKey string, opts ...ClientOption) *Client {
|
||||
cfg := &clientConfig{}
|
||||
for _, opt := range opts {
|
||||
opt(cfg)
|
||||
}
|
||||
return NewClient(moonshotProvider.New(apiKey, cfg.baseURL))
|
||||
}
|
||||
|
||||
// XAI creates an xAI (Grok) client (OpenAI-compatible).
|
||||
//
|
||||
// Example:
|
||||
//
|
||||
// model := llm.XAI("xai-...").Model("grok-2")
|
||||
func XAI(apiKey string, opts ...ClientOption) *Client {
|
||||
cfg := &clientConfig{}
|
||||
for _, opt := range opts {
|
||||
opt(cfg)
|
||||
}
|
||||
return NewClient(xaiProvider.New(apiKey, cfg.baseURL))
|
||||
}
|
||||
|
||||
// Groq creates a Groq client (OpenAI-compatible).
|
||||
//
|
||||
// Example:
|
||||
//
|
||||
// model := llm.Groq("gsk-...").Model("llama-3.3-70b-versatile")
|
||||
func Groq(apiKey string, opts ...ClientOption) *Client {
|
||||
cfg := &clientConfig{}
|
||||
for _, opt := range opts {
|
||||
opt(cfg)
|
||||
}
|
||||
return NewClient(groqProvider.New(apiKey, cfg.baseURL))
|
||||
}
|
||||
|
||||
// Ollama creates a client for a local Ollama instance (OpenAI-compatible).
|
||||
// No API key is required. Use WithBaseURL to point at a non-default host/port.
|
||||
//
|
||||
// Example:
|
||||
//
|
||||
// model := llm.Ollama().Model("llama3.2")
|
||||
func Ollama(opts ...ClientOption) *Client {
|
||||
cfg := &clientConfig{}
|
||||
for _, opt := range opts {
|
||||
opt(cfg)
|
||||
}
|
||||
return NewClient(ollamaProvider.New("", cfg.baseURL))
|
||||
}
|
||||
|
||||
@@ -0,0 +1,36 @@
|
||||
// Package deepseek implements the go-llm v2 provider interface for DeepSeek
|
||||
// (https://platform.deepseek.com). DeepSeek speaks the OpenAI Chat Completions
|
||||
// protocol, so this package is a thin wrapper around openaicompat with its own
|
||||
// defaults and per-model Rules.
|
||||
package deepseek
|
||||
|
||||
import (
|
||||
"strings"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
)
|
||||
|
||||
// DefaultBaseURL is the public DeepSeek API endpoint.
|
||||
const DefaultBaseURL = "https://api.deepseek.com/v1"
|
||||
|
||||
// Provider is a type alias over openaicompat.Provider.
|
||||
type Provider = openaicompat.Provider
|
||||
|
||||
// New creates a new DeepSeek provider. An empty baseURL uses DefaultBaseURL.
|
||||
func New(apiKey, baseURL string) *Provider {
|
||||
if baseURL == "" {
|
||||
baseURL = DefaultBaseURL
|
||||
}
|
||||
return openaicompat.New(apiKey, baseURL, openaicompat.Rules{
|
||||
// DeepSeek's chat and reasoner models are text-only.
|
||||
SupportsVision: func(string) bool { return false },
|
||||
// Reasoner doesn't accept tool calls.
|
||||
SupportsTools: func(m string) bool {
|
||||
return !strings.Contains(m, "reasoner")
|
||||
},
|
||||
// Reasoner rejects user-supplied temperature.
|
||||
RestrictTemperature: func(m string) bool {
|
||||
return strings.Contains(m, "reasoner")
|
||||
},
|
||||
})
|
||||
}
|
||||
@@ -0,0 +1,49 @@
|
||||
package deepseek_test
|
||||
|
||||
import (
|
||||
"context"
|
||||
"errors"
|
||||
"testing"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/deepseek"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/provider"
|
||||
)
|
||||
|
||||
func TestNew_DefaultBaseURL(t *testing.T) {
|
||||
if p := deepseek.New("key", ""); p == nil {
|
||||
t.Fatal("New returned nil")
|
||||
}
|
||||
}
|
||||
|
||||
func TestRules_ReasonerRejectsTools(t *testing.T) {
|
||||
p := deepseek.New("key", "")
|
||||
req := provider.Request{
|
||||
Model: "deepseek-reasoner",
|
||||
Messages: []provider.Message{{Role: "user", Content: "hi"}},
|
||||
Tools: []provider.ToolDef{
|
||||
{Name: "x", Schema: map[string]any{"type": "object"}},
|
||||
},
|
||||
}
|
||||
_, err := p.Complete(context.Background(), req)
|
||||
var fue *openaicompat.FeatureUnsupportedError
|
||||
if !errors.As(err, &fue) || fue.Feature != "tools" {
|
||||
t.Fatalf("want FeatureUnsupportedError(tools), got %v", err)
|
||||
}
|
||||
}
|
||||
|
||||
func TestRules_ChatRejectsImages(t *testing.T) {
|
||||
p := deepseek.New("key", "")
|
||||
req := provider.Request{
|
||||
Model: "deepseek-chat",
|
||||
Messages: []provider.Message{{
|
||||
Role: "user",
|
||||
Images: []provider.Image{{URL: "a"}},
|
||||
}},
|
||||
}
|
||||
_, err := p.Complete(context.Background(), req)
|
||||
var fue *openaicompat.FeatureUnsupportedError
|
||||
if !errors.As(err, &fue) || fue.Feature != "vision" {
|
||||
t.Fatalf("want FeatureUnsupportedError(vision), got %v", err)
|
||||
}
|
||||
}
|
||||
@@ -1,10 +1,12 @@
|
||||
module gitea.stevedudenhoeffer.com/steve/go-llm/v2
|
||||
|
||||
go 1.24.0
|
||||
|
||||
toolchain go1.24.2
|
||||
go 1.24.2
|
||||
|
||||
require (
|
||||
github.com/charmbracelet/bubbles v1.0.0
|
||||
github.com/charmbracelet/bubbletea v1.3.10
|
||||
github.com/charmbracelet/lipgloss v1.1.0
|
||||
github.com/joho/godotenv v1.5.1
|
||||
github.com/liushuangls/go-anthropic/v2 v2.17.0
|
||||
github.com/modelcontextprotocol/go-sdk v1.2.0
|
||||
github.com/openai/openai-go v1.12.0
|
||||
@@ -18,6 +20,16 @@ require (
|
||||
cloud.google.com/go v0.116.0 // indirect
|
||||
cloud.google.com/go/auth v0.9.3 // indirect
|
||||
cloud.google.com/go/compute/metadata v0.5.0 // indirect
|
||||
github.com/atotto/clipboard v0.1.4 // indirect
|
||||
github.com/aymanbagabas/go-osc52/v2 v2.0.1 // indirect
|
||||
github.com/charmbracelet/colorprofile v0.4.1 // indirect
|
||||
github.com/charmbracelet/x/ansi v0.11.6 // indirect
|
||||
github.com/charmbracelet/x/cellbuf v0.0.15 // indirect
|
||||
github.com/charmbracelet/x/term v0.2.2 // indirect
|
||||
github.com/clipperhouse/displaywidth v0.9.0 // indirect
|
||||
github.com/clipperhouse/stringish v0.1.1 // indirect
|
||||
github.com/clipperhouse/uax29/v2 v2.5.0 // indirect
|
||||
github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f // indirect
|
||||
github.com/golang/groupcache v0.0.0-20210331224755-41bb18bfe9da // indirect
|
||||
github.com/google/go-cmp v0.7.0 // indirect
|
||||
github.com/google/jsonschema-go v0.3.0 // indirect
|
||||
@@ -25,15 +37,24 @@ require (
|
||||
github.com/googleapis/enterprise-certificate-proxy v0.3.4 // indirect
|
||||
github.com/gorilla/websocket v1.5.3 // indirect
|
||||
github.com/kr/fs v0.1.0 // indirect
|
||||
github.com/lucasb-eyer/go-colorful v1.3.0 // indirect
|
||||
github.com/mattn/go-isatty v0.0.20 // indirect
|
||||
github.com/mattn/go-localereader v0.0.1 // indirect
|
||||
github.com/mattn/go-runewidth v0.0.19 // indirect
|
||||
github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6 // indirect
|
||||
github.com/muesli/cancelreader v0.2.2 // indirect
|
||||
github.com/muesli/termenv v0.16.0 // indirect
|
||||
github.com/rivo/uniseg v0.4.7 // indirect
|
||||
github.com/tidwall/gjson v1.14.4 // indirect
|
||||
github.com/tidwall/match v1.1.1 // indirect
|
||||
github.com/tidwall/pretty v1.2.1 // indirect
|
||||
github.com/tidwall/sjson v1.2.5 // indirect
|
||||
github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e // indirect
|
||||
github.com/yosida95/uritemplate/v3 v3.0.2 // indirect
|
||||
go.opencensus.io v0.24.0 // indirect
|
||||
golang.org/x/net v0.42.0 // indirect
|
||||
golang.org/x/oauth2 v0.30.0 // indirect
|
||||
golang.org/x/sys v0.35.0 // indirect
|
||||
golang.org/x/sys v0.38.0 // indirect
|
||||
golang.org/x/text v0.33.0 // indirect
|
||||
google.golang.org/genproto/googleapis/rpc v0.0.0-20240903143218-8af14fe29dc1 // indirect
|
||||
google.golang.org/grpc v1.66.2 // indirect
|
||||
|
||||
@@ -6,8 +6,32 @@ cloud.google.com/go/auth v0.9.3/go.mod h1:7z6VY+7h3KUdRov5F1i8NDP5ZzWKYmEPO842Bg
|
||||
cloud.google.com/go/compute/metadata v0.5.0 h1:Zr0eK8JbFv6+Wi4ilXAR8FJ3wyNdpxHKJNPos6LTZOY=
|
||||
cloud.google.com/go/compute/metadata v0.5.0/go.mod h1:aHnloV2TPI38yx4s9+wAZhHykWvVCfu7hQbF+9CWoiY=
|
||||
github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU=
|
||||
github.com/atotto/clipboard v0.1.4 h1:EH0zSVneZPSuFR11BlR9YppQTVDbh5+16AmcJi4g1z4=
|
||||
github.com/atotto/clipboard v0.1.4/go.mod h1:ZY9tmq7sm5xIbd9bOK4onWV4S6X0u6GY7Vn0Yu86PYI=
|
||||
github.com/aymanbagabas/go-osc52/v2 v2.0.1 h1:HwpRHbFMcZLEVr42D4p7XBqjyuxQH5SMiErDT4WkJ2k=
|
||||
github.com/aymanbagabas/go-osc52/v2 v2.0.1/go.mod h1:uYgXzlJ7ZpABp8OJ+exZzJJhRNQ2ASbcXHWsFqH8hp8=
|
||||
github.com/census-instrumentation/opencensus-proto v0.2.1/go.mod h1:f6KPmirojxKA12rnyqOA5BBL4O983OfeGPqjHWSTneU=
|
||||
github.com/charmbracelet/bubbles v1.0.0 h1:12J8/ak/uCZEMQ6KU7pcfwceyjLlWsDLAxB5fXonfvc=
|
||||
github.com/charmbracelet/bubbles v1.0.0/go.mod h1:9d/Zd5GdnauMI5ivUIVisuEm3ave1XwXtD1ckyV6r3E=
|
||||
github.com/charmbracelet/bubbletea v1.3.10 h1:otUDHWMMzQSB0Pkc87rm691KZ3SWa4KUlvF9nRvCICw=
|
||||
github.com/charmbracelet/bubbletea v1.3.10/go.mod h1:ORQfo0fk8U+po9VaNvnV95UPWA1BitP1E0N6xJPlHr4=
|
||||
github.com/charmbracelet/colorprofile v0.4.1 h1:a1lO03qTrSIRaK8c3JRxJDZOvhvIeSco3ej+ngLk1kk=
|
||||
github.com/charmbracelet/colorprofile v0.4.1/go.mod h1:U1d9Dljmdf9DLegaJ0nGZNJvoXAhayhmidOdcBwAvKk=
|
||||
github.com/charmbracelet/lipgloss v1.1.0 h1:vYXsiLHVkK7fp74RkV7b2kq9+zDLoEU4MZoFqR/noCY=
|
||||
github.com/charmbracelet/lipgloss v1.1.0/go.mod h1:/6Q8FR2o+kj8rz4Dq0zQc3vYf7X+B0binUUBwA0aL30=
|
||||
github.com/charmbracelet/x/ansi v0.11.6 h1:GhV21SiDz/45W9AnV2R61xZMRri5NlLnl6CVF7ihZW8=
|
||||
github.com/charmbracelet/x/ansi v0.11.6/go.mod h1:2JNYLgQUsyqaiLovhU2Rv/pb8r6ydXKS3NIttu3VGZQ=
|
||||
github.com/charmbracelet/x/cellbuf v0.0.15 h1:ur3pZy0o6z/R7EylET877CBxaiE1Sp1GMxoFPAIztPI=
|
||||
github.com/charmbracelet/x/cellbuf v0.0.15/go.mod h1:J1YVbR7MUuEGIFPCaaZ96KDl5NoS0DAWkskup+mOY+Q=
|
||||
github.com/charmbracelet/x/term v0.2.2 h1:xVRT/S2ZcKdhhOuSP4t5cLi5o+JxklsoEObBSgfgZRk=
|
||||
github.com/charmbracelet/x/term v0.2.2/go.mod h1:kF8CY5RddLWrsgVwpw4kAa6TESp6EB5y3uxGLeCqzAI=
|
||||
github.com/client9/misspell v0.3.4/go.mod h1:qj6jICC3Q7zFZvVWo7KLAzC3yx5G7kyvSDkc90ppPyw=
|
||||
github.com/clipperhouse/displaywidth v0.9.0 h1:Qb4KOhYwRiN3viMv1v/3cTBlz3AcAZX3+y9OLhMtAtA=
|
||||
github.com/clipperhouse/displaywidth v0.9.0/go.mod h1:aCAAqTlh4GIVkhQnJpbL0T/WfcrJXHcj8C0yjYcjOZA=
|
||||
github.com/clipperhouse/stringish v0.1.1 h1:+NSqMOr3GR6k1FdRhhnXrLfztGzuG+VuFDfatpWHKCs=
|
||||
github.com/clipperhouse/stringish v0.1.1/go.mod h1:v/WhFtE1q0ovMta2+m+UbpZ+2/HEXNWYXQgCt4hdOzA=
|
||||
github.com/clipperhouse/uax29/v2 v2.5.0 h1:x7T0T4eTHDONxFJsL94uKNKPHrclyFI0lm7+w94cO8U=
|
||||
github.com/clipperhouse/uax29/v2 v2.5.0/go.mod h1:Wn1g7MK6OoeDT0vL+Q0SQLDz/KpfsVRgg6W7ihQeh4g=
|
||||
github.com/cncf/udpa/go v0.0.0-20191209042840-269d4d468f6f/go.mod h1:M8M6+tZqaGXZJjfX53e64911xZQV5JYwmTeXPW+k8Sc=
|
||||
github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
|
||||
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
|
||||
@@ -16,6 +40,8 @@ github.com/envoyproxy/go-control-plane v0.9.0/go.mod h1:YTl/9mNaCwkRvm6d1a2C3ymF
|
||||
github.com/envoyproxy/go-control-plane v0.9.1-0.20191026205805-5f8ba28d4473/go.mod h1:YTl/9mNaCwkRvm6d1a2C3ymFceY/DCBVvsKhRF0iEA4=
|
||||
github.com/envoyproxy/go-control-plane v0.9.4/go.mod h1:6rpuAdCZL397s3pYoYcLgu1mIlRU8Am5FuJP05cCM98=
|
||||
github.com/envoyproxy/protoc-gen-validate v0.1.0/go.mod h1:iSmxcyjqTsJpI2R4NaDN7+kN2VEUnK/pcBlmesArF7c=
|
||||
github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f h1:Y/CXytFA4m6baUTXGLOoWe4PQhGxaX0KpnayAqC48p4=
|
||||
github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f/go.mod h1:vw97MGsxSvLiUE2X8qFplwetxpGLQrlU1Q9AUEIzCaM=
|
||||
github.com/golang-jwt/jwt/v5 v5.2.2 h1:Rl4B7itRWVtYIHFrSNd7vhTiz9UpLdi6gZhZ3wEeDy8=
|
||||
github.com/golang-jwt/jwt/v5 v5.2.2/go.mod h1:pqrtFR0X4osieyHYxtmOUWsAWrfe1Q5UVIyoH402zdk=
|
||||
github.com/golang/glog v0.0.0-20160126235308-23def4e6c14b/go.mod h1:SBH7ygxi8pfUlaOkMMuAQtPIUF8ecWP5IEl/CR7VP2Q=
|
||||
@@ -49,12 +75,28 @@ github.com/googleapis/enterprise-certificate-proxy v0.3.4 h1:XYIDZApgAnrN1c855gT
|
||||
github.com/googleapis/enterprise-certificate-proxy v0.3.4/go.mod h1:YKe7cfqYXjKGpGvmSg28/fFvhNzinZQm8DGnaburhGA=
|
||||
github.com/gorilla/websocket v1.5.3 h1:saDtZ6Pbx/0u+bgYQ3q96pZgCzfhKXGPqt7kZ72aNNg=
|
||||
github.com/gorilla/websocket v1.5.3/go.mod h1:YR8l580nyteQvAITg2hZ9XVh4b55+EU/adAjf1fMHhE=
|
||||
github.com/joho/godotenv v1.5.1 h1:7eLL/+HRGLY0ldzfGMeQkb7vMd0as4CfYvUVzLqw0N0=
|
||||
github.com/joho/godotenv v1.5.1/go.mod h1:f4LDr5Voq0i2e/R5DDNOoa2zzDfwtkZa6DnEwAbqwq4=
|
||||
github.com/kr/fs v0.1.0 h1:Jskdu9ieNAYnjxsi0LbQp1ulIKZV1LAFgK1tWhpZgl8=
|
||||
github.com/kr/fs v0.1.0/go.mod h1:FFnZGqtBN9Gxj7eW1uZ42v5BccTP0vu6NEaFoC2HwRg=
|
||||
github.com/liushuangls/go-anthropic/v2 v2.17.0 h1:iBA6h7aghi1q86owEQ95XE2R2MF/0dQ7bCxtwTxOg4c=
|
||||
github.com/liushuangls/go-anthropic/v2 v2.17.0/go.mod h1:a550cJXPoTG2FL3DvfKG2zzD5O2vjgvo4tHtoGPzFLU=
|
||||
github.com/lucasb-eyer/go-colorful v1.3.0 h1:2/yBRLdWBZKrf7gB40FoiKfAWYQ0lqNcbuQwVHXptag=
|
||||
github.com/lucasb-eyer/go-colorful v1.3.0/go.mod h1:R4dSotOR9KMtayYi1e77YzuveK+i7ruzyGqttikkLy0=
|
||||
github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY=
|
||||
github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
|
||||
github.com/mattn/go-localereader v0.0.1 h1:ygSAOl7ZXTx4RdPYinUpg6W99U8jWvWi9Ye2JC/oIi4=
|
||||
github.com/mattn/go-localereader v0.0.1/go.mod h1:8fBrzywKY7BI3czFoHkuzRoWE9C+EiG4R1k4Cjx5p88=
|
||||
github.com/mattn/go-runewidth v0.0.19 h1:v++JhqYnZuu5jSKrk9RbgF5v4CGUjqRfBm05byFGLdw=
|
||||
github.com/mattn/go-runewidth v0.0.19/go.mod h1:XBkDxAl56ILZc9knddidhrOlY5R/pDhgLpndooCuJAs=
|
||||
github.com/modelcontextprotocol/go-sdk v1.2.0 h1:Y23co09300CEk8iZ/tMxIX1dVmKZkzoSBZOpJwUnc/s=
|
||||
github.com/modelcontextprotocol/go-sdk v1.2.0/go.mod h1:6fM3LCm3yV7pAs8isnKLn07oKtB0MP9LHd3DfAcKw10=
|
||||
github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6 h1:ZK8zHtRHOkbHy6Mmr5D264iyp3TiX5OmNcI5cIARiQI=
|
||||
github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6/go.mod h1:CJlz5H+gyd6CUWT45Oy4q24RdLyn7Md9Vj2/ldJBSIo=
|
||||
github.com/muesli/cancelreader v0.2.2 h1:3I4Kt4BQjOR54NavqnDogx/MIoWBFa0StPA8ELUXHmA=
|
||||
github.com/muesli/cancelreader v0.2.2/go.mod h1:3XuTXfFS2VjM+HTLZY9Ak0l6eUKfijIfMUZ4EgX0QYo=
|
||||
github.com/muesli/termenv v0.16.0 h1:S5AlUN9dENB57rsbnkPyfdGuWIlkmzJjbFf0Tf5FWUc=
|
||||
github.com/muesli/termenv v0.16.0/go.mod h1:ZRfOIKPFDYQoDFF4Olj7/QJbW60Ol/kL1pU3VfY/Cnk=
|
||||
github.com/openai/openai-go v1.12.0 h1:NBQCnXzqOTv5wsgNC36PrFEiskGfO5wccfCWDo9S1U0=
|
||||
github.com/openai/openai-go v1.12.0/go.mod h1:g461MYGXEXBVdV5SaR/5tNzNbSfwTBBefwc+LlDCK0Y=
|
||||
github.com/pkg/sftp v1.13.10 h1:+5FbKNTe5Z9aspU88DPIKJ9z2KZoaGCu6Sr6kKR/5mU=
|
||||
@@ -62,6 +104,8 @@ github.com/pkg/sftp v1.13.10/go.mod h1:bJ1a7uDhrX/4OII+agvy28lzRvQrmIQuaHrcI1Hbe
|
||||
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
|
||||
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
|
||||
github.com/prometheus/client_model v0.0.0-20190812154241-14fe0d1b01d4/go.mod h1:xMI15A0UPsDsEKsMN9yxemIoYk6Tm2C1GtYGdfGttqA=
|
||||
github.com/rivo/uniseg v0.4.7 h1:WUdvkW8uEhrYfLC4ZzdpI2ztxP1I582+49Oc5Mq64VQ=
|
||||
github.com/rivo/uniseg v0.4.7/go.mod h1:FN3SvrM+Zdj16jyLfmOkMNblXMcoc8DfTHruCPUcx88=
|
||||
github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
|
||||
github.com/stretchr/objx v0.4.0/go.mod h1:YvHI0jy2hoMjB+UWwv71VJQ9isScKT/TqJzVSSt89Yw=
|
||||
github.com/stretchr/objx v0.5.0/go.mod h1:Yh+to48EsGEfYuaHDzXPcE3xhTkx73EhmCGUpEOglKo=
|
||||
@@ -80,6 +124,8 @@ github.com/tidwall/pretty v1.2.1 h1:qjsOFOWWQl+N3RsoF5/ssm1pHmJJwhjlSbZ51I6wMl4=
|
||||
github.com/tidwall/pretty v1.2.1/go.mod h1:ITEVvHYasfjBbM0u2Pg8T2nJnzm8xPwvNhhsoaGGjNU=
|
||||
github.com/tidwall/sjson v1.2.5 h1:kLy8mja+1c9jlljvWTlSazM7cKDRfJuR/bOJhcY5NcY=
|
||||
github.com/tidwall/sjson v1.2.5/go.mod h1:Fvgq9kS/6ociJEDnK0Fk1cpYF4FIW6ZF7LAe+6jwd28=
|
||||
github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e h1:JVG44RsyaB9T2KIHavMF/ppJZNG9ZpyihvCd0w101no=
|
||||
github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e/go.mod h1:RbqR21r5mrJuqunuUZ/Dhy/avygyECGrLceyNeo4LiM=
|
||||
github.com/yosida95/uritemplate/v3 v3.0.2 h1:Ed3Oyj9yrmi9087+NczuL5BwkIc4wvTb5zIM+UJPGz4=
|
||||
github.com/yosida95/uritemplate/v3 v3.0.2/go.mod h1:ILOh0sOhIJR3+L/8afwt/kE++YT040gmv5BQTMR2HP4=
|
||||
go.opencensus.io v0.24.0 h1:y73uSU6J157QMP2kn2r30vwW1A2W2WFwSCGnAVxeaD0=
|
||||
@@ -89,6 +135,8 @@ golang.org/x/crypto v0.0.0-20200622213623-75b288015ac9/go.mod h1:LzIPMQfyMNhhGPh
|
||||
golang.org/x/crypto v0.41.0 h1:WKYxWedPGCTVVl5+WHSSrOBT0O8lx32+zxmHxijgXp4=
|
||||
golang.org/x/crypto v0.41.0/go.mod h1:pO5AFd7FA68rFak7rOAGVuygIISepHftHnr8dr6+sUc=
|
||||
golang.org/x/exp v0.0.0-20190121172915-509febef88a4/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA=
|
||||
golang.org/x/exp v0.0.0-20231006140011-7918f672742d h1:jtJma62tbqLibJ5sFQz8bKtEM8rJBtfilJ2qTU199MI=
|
||||
golang.org/x/exp v0.0.0-20231006140011-7918f672742d/go.mod h1:ldy0pHrwJyGW56pPQzzkH36rKxoZW1tw7ZJpeKx+hdo=
|
||||
golang.org/x/image v0.35.0 h1:LKjiHdgMtO8z7Fh18nGY6KDcoEtVfsgLDPeLyguqb7I=
|
||||
golang.org/x/image v0.35.0/go.mod h1:MwPLTVgvxSASsxdLzKrl8BRFuyqMyGhLwmC+TO1Sybk=
|
||||
golang.org/x/lint v0.0.0-20181026193005-c67002cb31c3/go.mod h1:UVdnD1Gm6xHRNCYTkRU2/jEulfH38KcIWyp/GAMgvoE=
|
||||
@@ -114,8 +162,10 @@ golang.org/x/sys v0.0.0-20180830151530-49385e6e1522/go.mod h1:STP8DvDyc/dI5b8T5h
|
||||
golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
|
||||
golang.org/x/sys v0.0.0-20190412213103-97732733099d/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
|
||||
golang.org/x/sys v0.0.0-20200930185726-fdedc70b468f/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
|
||||
golang.org/x/sys v0.35.0 h1:vz1N37gP5bs89s7He8XuIYXpyY0+QlsKmzipCbUtyxI=
|
||||
golang.org/x/sys v0.35.0/go.mod h1:BJP2sWEmIv4KK5OTEluFJCKSidICx8ciO85XgH3Ak8k=
|
||||
golang.org/x/sys v0.0.0-20210809222454-d867a43fc93e/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/sys v0.38.0 h1:3yZWxaJjBmCWXqhN1qh02AkOnCQ1poK6oF+a7xWL6Gc=
|
||||
golang.org/x/sys v0.38.0/go.mod h1:OgkHotnGiDImocRcuBABYBEXf8A9a87e/uXjp9XT3ks=
|
||||
golang.org/x/term v0.34.0 h1:O/2T7POpk0ZZ7MAzMeWFSg6S5IpWd/RXDlM9hgM3DR4=
|
||||
golang.org/x/term v0.34.0/go.mod h1:5jC53AEywhIVebHgPVeg0mj8OD3VO9OzclacVrqpaAw=
|
||||
golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ=
|
||||
|
||||
@@ -0,0 +1,33 @@
|
||||
// Package groq implements the go-llm v2 provider interface for Groq
|
||||
// (https://console.groq.com). Groq hosts open-source models behind an OpenAI
|
||||
// Chat Completions-compatible endpoint, so this package is a thin wrapper over
|
||||
// openaicompat with its own defaults and per-model Rules.
|
||||
package groq
|
||||
|
||||
import (
|
||||
"strings"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
)
|
||||
|
||||
// DefaultBaseURL is the public Groq OpenAI-compatible endpoint.
|
||||
const DefaultBaseURL = "https://api.groq.com/openai/v1"
|
||||
|
||||
// Provider is a type alias over openaicompat.Provider.
|
||||
type Provider = openaicompat.Provider
|
||||
|
||||
// New creates a new Groq provider. An empty baseURL uses DefaultBaseURL.
|
||||
func New(apiKey, baseURL string) *Provider {
|
||||
if baseURL == "" {
|
||||
baseURL = DefaultBaseURL
|
||||
}
|
||||
return openaicompat.New(apiKey, baseURL, openaicompat.Rules{
|
||||
// Only Groq-hosted vision variants (e.g. *-vision-preview) accept images.
|
||||
SupportsVision: func(m string) bool {
|
||||
return strings.Contains(m, "vision")
|
||||
},
|
||||
// Chat completions endpoint does not accept audio input; audio is via
|
||||
// dedicated transcription endpoints, which go-llm doesn't cover here.
|
||||
SupportsAudio: func(string) bool { return false },
|
||||
})
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
package groq_test
|
||||
|
||||
import (
|
||||
"context"
|
||||
"errors"
|
||||
"testing"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/groq"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/provider"
|
||||
)
|
||||
|
||||
func TestNew_Basic(t *testing.T) {
|
||||
if p := groq.New("key", ""); p == nil {
|
||||
t.Fatal("New returned nil")
|
||||
}
|
||||
}
|
||||
|
||||
func TestRules_AudioRejected(t *testing.T) {
|
||||
p := groq.New("key", "")
|
||||
req := provider.Request{
|
||||
Model: "llama-3.3-70b-versatile",
|
||||
Messages: []provider.Message{{
|
||||
Role: "user",
|
||||
Audio: []provider.Audio{{Base64: "AAA=", ContentType: "audio/wav"}},
|
||||
}},
|
||||
}
|
||||
_, err := p.Complete(context.Background(), req)
|
||||
var fue *openaicompat.FeatureUnsupportedError
|
||||
if !errors.As(err, &fue) || fue.Feature != "audio" {
|
||||
t.Fatalf("want FeatureUnsupportedError(audio), got %v", err)
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,30 @@
|
||||
// Package moonshot implements the go-llm v2 provider interface for Moonshot
|
||||
// AI (Kimi, https://platform.moonshot.ai). Moonshot speaks OpenAI Chat
|
||||
// Completions, so this package is a thin wrapper over openaicompat with its
|
||||
// own defaults and per-model Rules.
|
||||
package moonshot
|
||||
|
||||
import (
|
||||
"strings"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
)
|
||||
|
||||
// DefaultBaseURL is the public Moonshot API endpoint (international).
|
||||
const DefaultBaseURL = "https://api.moonshot.ai/v1"
|
||||
|
||||
// Provider is a type alias over openaicompat.Provider.
|
||||
type Provider = openaicompat.Provider
|
||||
|
||||
// New creates a new Moonshot provider. An empty baseURL uses DefaultBaseURL.
|
||||
func New(apiKey, baseURL string) *Provider {
|
||||
if baseURL == "" {
|
||||
baseURL = DefaultBaseURL
|
||||
}
|
||||
return openaicompat.New(apiKey, baseURL, openaicompat.Rules{
|
||||
// Only Moonshot models whose name contains "vision" accept images.
|
||||
SupportsVision: func(m string) bool {
|
||||
return strings.Contains(m, "vision")
|
||||
},
|
||||
})
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
package moonshot_test
|
||||
|
||||
import (
|
||||
"context"
|
||||
"errors"
|
||||
"testing"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/moonshot"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/provider"
|
||||
)
|
||||
|
||||
func TestNew_Basic(t *testing.T) {
|
||||
if p := moonshot.New("key", ""); p == nil {
|
||||
t.Fatal("New returned nil")
|
||||
}
|
||||
}
|
||||
|
||||
func TestRules_NonVisionModelRejectsImages(t *testing.T) {
|
||||
p := moonshot.New("key", "")
|
||||
req := provider.Request{
|
||||
Model: "moonshot-v1-8k",
|
||||
Messages: []provider.Message{{
|
||||
Role: "user",
|
||||
Images: []provider.Image{{URL: "a"}},
|
||||
}},
|
||||
}
|
||||
_, err := p.Complete(context.Background(), req)
|
||||
var fue *openaicompat.FeatureUnsupportedError
|
||||
if !errors.As(err, &fue) || fue.Feature != "vision" {
|
||||
t.Fatalf("want FeatureUnsupportedError(vision), got %v", err)
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,25 @@
|
||||
// Package ollama implements the go-llm v2 provider interface for Ollama
|
||||
// (https://ollama.com), a local model runner that exposes an OpenAI Chat
|
||||
// Completions-compatible endpoint. No API key is required; capability depends
|
||||
// on whichever model the user has pulled locally, so Rules are intentionally
|
||||
// empty — we trust the local user.
|
||||
package ollama
|
||||
|
||||
import (
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
)
|
||||
|
||||
// DefaultBaseURL points at a local Ollama instance with default port.
|
||||
const DefaultBaseURL = "http://localhost:11434/v1"
|
||||
|
||||
// Provider is a type alias over openaicompat.Provider.
|
||||
type Provider = openaicompat.Provider
|
||||
|
||||
// New creates a new Ollama provider. An empty baseURL uses DefaultBaseURL.
|
||||
// Ollama ignores the API key; callers may pass "".
|
||||
func New(apiKey, baseURL string) *Provider {
|
||||
if baseURL == "" {
|
||||
baseURL = DefaultBaseURL
|
||||
}
|
||||
return openaicompat.New(apiKey, baseURL, openaicompat.Rules{})
|
||||
}
|
||||
@@ -0,0 +1,13 @@
|
||||
package ollama_test
|
||||
|
||||
import (
|
||||
"testing"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/ollama"
|
||||
)
|
||||
|
||||
func TestNew_NoKeyNeeded(t *testing.T) {
|
||||
if p := ollama.New("", ""); p == nil {
|
||||
t.Fatal("New returned nil")
|
||||
}
|
||||
}
|
||||
+22
-420
@@ -1,433 +1,35 @@
|
||||
// Package openai implements the go-llm v2 provider interface for OpenAI.
|
||||
//
|
||||
// The actual wire-protocol logic lives in the shared openaicompat package;
|
||||
// this file encodes OpenAI-specific Rules (temperature is rejected on o-series
|
||||
// and gpt-5* models) and supplies the default base URL.
|
||||
package openai
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/base64"
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
"path"
|
||||
"strings"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"github.com/openai/openai-go/option"
|
||||
"github.com/openai/openai-go/packages/param"
|
||||
"github.com/openai/openai-go/shared"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/provider"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
)
|
||||
|
||||
// Provider implements the provider.Provider interface for OpenAI.
|
||||
type Provider struct {
|
||||
apiKey string
|
||||
baseURL string
|
||||
}
|
||||
// DefaultBaseURL is the public OpenAI Chat Completions endpoint.
|
||||
const DefaultBaseURL = "https://api.openai.com/v1"
|
||||
|
||||
// New creates a new OpenAI provider.
|
||||
// Provider is the OpenAI chat-completion provider. It's a type alias over
|
||||
// openaicompat.Provider so existing callers using openai.Provider keep compiling.
|
||||
type Provider = openaicompat.Provider
|
||||
|
||||
// New creates a new OpenAI provider. An empty baseURL uses DefaultBaseURL.
|
||||
func New(apiKey string, baseURL string) *Provider {
|
||||
return &Provider{apiKey: apiKey, baseURL: baseURL}
|
||||
if baseURL == "" {
|
||||
baseURL = DefaultBaseURL
|
||||
}
|
||||
return openaicompat.New(apiKey, baseURL, openaicompat.Rules{
|
||||
RestrictTemperature: restrictTemperature,
|
||||
})
|
||||
}
|
||||
|
||||
// Complete performs a non-streaming completion.
|
||||
func (p *Provider) Complete(ctx context.Context, req provider.Request) (provider.Response, error) {
|
||||
var opts []option.RequestOption
|
||||
opts = append(opts, option.WithAPIKey(p.apiKey))
|
||||
if p.baseURL != "" {
|
||||
opts = append(opts, option.WithBaseURL(p.baseURL))
|
||||
}
|
||||
|
||||
cl := openai.NewClient(opts...)
|
||||
oaiReq := p.buildRequest(req)
|
||||
|
||||
resp, err := cl.Chat.Completions.New(ctx, oaiReq)
|
||||
if err != nil {
|
||||
return provider.Response{}, fmt.Errorf("openai completion error: %w", err)
|
||||
}
|
||||
|
||||
return p.convertResponse(resp), nil
|
||||
}
|
||||
|
||||
// Stream performs a streaming completion.
|
||||
func (p *Provider) Stream(ctx context.Context, req provider.Request, events chan<- provider.StreamEvent) error {
|
||||
var opts []option.RequestOption
|
||||
opts = append(opts, option.WithAPIKey(p.apiKey))
|
||||
if p.baseURL != "" {
|
||||
opts = append(opts, option.WithBaseURL(p.baseURL))
|
||||
}
|
||||
|
||||
cl := openai.NewClient(opts...)
|
||||
oaiReq := p.buildRequest(req)
|
||||
oaiReq.StreamOptions = openai.ChatCompletionStreamOptionsParam{
|
||||
IncludeUsage: openai.Bool(true),
|
||||
}
|
||||
|
||||
stream := cl.Chat.Completions.NewStreaming(ctx, oaiReq)
|
||||
|
||||
var fullText strings.Builder
|
||||
var toolCalls []provider.ToolCall
|
||||
toolCallArgs := map[int]*strings.Builder{}
|
||||
var usage *provider.Usage
|
||||
|
||||
for stream.Next() {
|
||||
chunk := stream.Current()
|
||||
|
||||
// Capture usage from the final chunk (present when StreamOptions.IncludeUsage is true)
|
||||
if chunk.Usage.TotalTokens > 0 {
|
||||
usage = &provider.Usage{
|
||||
InputTokens: int(chunk.Usage.PromptTokens),
|
||||
OutputTokens: int(chunk.Usage.CompletionTokens),
|
||||
TotalTokens: int(chunk.Usage.TotalTokens),
|
||||
Details: extractUsageDetails(chunk.Usage),
|
||||
}
|
||||
}
|
||||
|
||||
for _, choice := range chunk.Choices {
|
||||
// Text delta
|
||||
if choice.Delta.Content != "" {
|
||||
fullText.WriteString(choice.Delta.Content)
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventText,
|
||||
Text: choice.Delta.Content,
|
||||
}
|
||||
}
|
||||
|
||||
// Tool call deltas
|
||||
for _, tc := range choice.Delta.ToolCalls {
|
||||
idx := int(tc.Index)
|
||||
|
||||
if tc.ID != "" {
|
||||
// New tool call starting
|
||||
for len(toolCalls) <= idx {
|
||||
toolCalls = append(toolCalls, provider.ToolCall{})
|
||||
}
|
||||
toolCalls[idx].ID = tc.ID
|
||||
toolCalls[idx].Name = tc.Function.Name
|
||||
toolCallArgs[idx] = &strings.Builder{}
|
||||
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventToolStart,
|
||||
ToolCall: &provider.ToolCall{
|
||||
ID: tc.ID,
|
||||
Name: tc.Function.Name,
|
||||
},
|
||||
ToolIndex: idx,
|
||||
}
|
||||
}
|
||||
|
||||
if tc.Function.Arguments != "" {
|
||||
if b, ok := toolCallArgs[idx]; ok {
|
||||
b.WriteString(tc.Function.Arguments)
|
||||
}
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventToolDelta,
|
||||
ToolIndex: idx,
|
||||
ToolCall: &provider.ToolCall{
|
||||
Arguments: tc.Function.Arguments,
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if err := stream.Err(); err != nil {
|
||||
return fmt.Errorf("openai stream error: %w", err)
|
||||
}
|
||||
|
||||
// Finalize tool calls
|
||||
for idx := range toolCalls {
|
||||
if b, ok := toolCallArgs[idx]; ok {
|
||||
toolCalls[idx].Arguments = b.String()
|
||||
}
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventToolEnd,
|
||||
ToolIndex: idx,
|
||||
ToolCall: &toolCalls[idx],
|
||||
}
|
||||
}
|
||||
|
||||
// Send done event
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventDone,
|
||||
Response: &provider.Response{
|
||||
Text: fullText.String(),
|
||||
ToolCalls: toolCalls,
|
||||
Usage: usage,
|
||||
},
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
func (p *Provider) buildRequest(req provider.Request) openai.ChatCompletionNewParams {
|
||||
oaiReq := openai.ChatCompletionNewParams{
|
||||
Model: req.Model,
|
||||
}
|
||||
|
||||
for _, msg := range req.Messages {
|
||||
oaiReq.Messages = append(oaiReq.Messages, convertMessage(msg, req.Model))
|
||||
}
|
||||
|
||||
for _, tool := range req.Tools {
|
||||
oaiReq.Tools = append(oaiReq.Tools, openai.ChatCompletionToolParam{
|
||||
Type: "function",
|
||||
Function: shared.FunctionDefinitionParam{
|
||||
Name: tool.Name,
|
||||
Description: openai.String(tool.Description),
|
||||
Parameters: openai.FunctionParameters(tool.Schema),
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
if req.Temperature != nil {
|
||||
// o* and gpt-5* models don't support custom temperatures
|
||||
if !strings.HasPrefix(req.Model, "o") && !strings.HasPrefix(req.Model, "gpt-5") {
|
||||
oaiReq.Temperature = openai.Float(*req.Temperature)
|
||||
}
|
||||
}
|
||||
|
||||
if req.MaxTokens != nil {
|
||||
oaiReq.MaxCompletionTokens = openai.Int(int64(*req.MaxTokens))
|
||||
}
|
||||
|
||||
if req.TopP != nil {
|
||||
oaiReq.TopP = openai.Float(*req.TopP)
|
||||
}
|
||||
|
||||
if len(req.Stop) > 0 {
|
||||
oaiReq.Stop = openai.ChatCompletionNewParamsStopUnion{OfString: openai.String(req.Stop[0])}
|
||||
}
|
||||
|
||||
return oaiReq
|
||||
}
|
||||
|
||||
func convertMessage(msg provider.Message, model string) openai.ChatCompletionMessageParamUnion {
|
||||
var arrayOfContentParts []openai.ChatCompletionContentPartUnionParam
|
||||
var textContent param.Opt[string]
|
||||
|
||||
for _, img := range msg.Images {
|
||||
var url string
|
||||
if img.Base64 != "" {
|
||||
url = "data:" + img.ContentType + ";base64," + img.Base64
|
||||
} else if img.URL != "" {
|
||||
url = img.URL
|
||||
}
|
||||
if url != "" {
|
||||
arrayOfContentParts = append(arrayOfContentParts,
|
||||
openai.ChatCompletionContentPartUnionParam{
|
||||
OfImageURL: &openai.ChatCompletionContentPartImageParam{
|
||||
ImageURL: openai.ChatCompletionContentPartImageImageURLParam{
|
||||
URL: url,
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
for _, aud := range msg.Audio {
|
||||
var b64Data string
|
||||
var format string
|
||||
|
||||
if aud.Base64 != "" {
|
||||
b64Data = aud.Base64
|
||||
format = audioFormat(aud.ContentType)
|
||||
} else if aud.URL != "" {
|
||||
resp, err := http.Get(aud.URL)
|
||||
if err != nil {
|
||||
continue
|
||||
}
|
||||
data, err := io.ReadAll(resp.Body)
|
||||
resp.Body.Close()
|
||||
if err != nil {
|
||||
continue
|
||||
}
|
||||
b64Data = base64.StdEncoding.EncodeToString(data)
|
||||
ct := resp.Header.Get("Content-Type")
|
||||
if ct == "" {
|
||||
ct = aud.ContentType
|
||||
}
|
||||
if ct == "" {
|
||||
ct = audioFormatFromURL(aud.URL)
|
||||
}
|
||||
format = audioFormat(ct)
|
||||
}
|
||||
|
||||
if b64Data != "" && format != "" {
|
||||
arrayOfContentParts = append(arrayOfContentParts,
|
||||
openai.ChatCompletionContentPartUnionParam{
|
||||
OfInputAudio: &openai.ChatCompletionContentPartInputAudioParam{
|
||||
InputAudio: openai.ChatCompletionContentPartInputAudioInputAudioParam{
|
||||
Data: b64Data,
|
||||
Format: format,
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
if msg.Content != "" {
|
||||
if len(arrayOfContentParts) > 0 {
|
||||
arrayOfContentParts = append(arrayOfContentParts,
|
||||
openai.ChatCompletionContentPartUnionParam{
|
||||
OfText: &openai.ChatCompletionContentPartTextParam{
|
||||
Text: msg.Content,
|
||||
},
|
||||
},
|
||||
)
|
||||
} else {
|
||||
textContent = openai.String(msg.Content)
|
||||
}
|
||||
}
|
||||
|
||||
// Determine if this model uses developer messages instead of system
|
||||
useDeveloper := false
|
||||
parts := strings.Split(model, "-")
|
||||
if len(parts) > 1 && len(parts[0]) > 0 && parts[0][0] == 'o' {
|
||||
useDeveloper = true
|
||||
}
|
||||
|
||||
switch msg.Role {
|
||||
case "system":
|
||||
if useDeveloper {
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfDeveloper: &openai.ChatCompletionDeveloperMessageParam{
|
||||
Content: openai.ChatCompletionDeveloperMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfSystem: &openai.ChatCompletionSystemMessageParam{
|
||||
Content: openai.ChatCompletionSystemMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
case "user":
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfUser: &openai.ChatCompletionUserMessageParam{
|
||||
Content: openai.ChatCompletionUserMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
OfArrayOfContentParts: arrayOfContentParts,
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
case "assistant":
|
||||
as := &openai.ChatCompletionAssistantMessageParam{}
|
||||
if msg.Content != "" {
|
||||
as.Content.OfString = openai.String(msg.Content)
|
||||
}
|
||||
for _, tc := range msg.ToolCalls {
|
||||
as.ToolCalls = append(as.ToolCalls, openai.ChatCompletionMessageToolCallParam{
|
||||
ID: tc.ID,
|
||||
Function: openai.ChatCompletionMessageToolCallFunctionParam{
|
||||
Name: tc.Name,
|
||||
Arguments: tc.Arguments,
|
||||
},
|
||||
})
|
||||
}
|
||||
return openai.ChatCompletionMessageParamUnion{OfAssistant: as}
|
||||
|
||||
case "tool":
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfTool: &openai.ChatCompletionToolMessageParam{
|
||||
ToolCallID: msg.ToolCallID,
|
||||
Content: openai.ChatCompletionToolMessageParamContentUnion{
|
||||
OfString: openai.String(msg.Content),
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
// Fallback to user message
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfUser: &openai.ChatCompletionUserMessageParam{
|
||||
Content: openai.ChatCompletionUserMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func (p *Provider) convertResponse(resp *openai.ChatCompletion) provider.Response {
|
||||
var res provider.Response
|
||||
|
||||
if resp == nil || len(resp.Choices) == 0 {
|
||||
return res
|
||||
}
|
||||
|
||||
choice := resp.Choices[0]
|
||||
res.Text = choice.Message.Content
|
||||
|
||||
for _, tc := range choice.Message.ToolCalls {
|
||||
res.ToolCalls = append(res.ToolCalls, provider.ToolCall{
|
||||
ID: tc.ID,
|
||||
Name: tc.Function.Name,
|
||||
Arguments: strings.TrimSpace(tc.Function.Arguments),
|
||||
})
|
||||
}
|
||||
|
||||
if resp.Usage.TotalTokens > 0 {
|
||||
res.Usage = &provider.Usage{
|
||||
InputTokens: int(resp.Usage.PromptTokens),
|
||||
OutputTokens: int(resp.Usage.CompletionTokens),
|
||||
TotalTokens: int(resp.Usage.TotalTokens),
|
||||
}
|
||||
res.Usage.Details = extractUsageDetails(resp.Usage)
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
// audioFormat converts a MIME type to an OpenAI audio format string ("wav" or "mp3").
|
||||
func audioFormat(contentType string) string {
|
||||
ct := strings.ToLower(contentType)
|
||||
switch {
|
||||
case strings.Contains(ct, "wav"):
|
||||
return "wav"
|
||||
case strings.Contains(ct, "mp3"), strings.Contains(ct, "mpeg"):
|
||||
return "mp3"
|
||||
default:
|
||||
return "wav"
|
||||
}
|
||||
}
|
||||
|
||||
// extractUsageDetails extracts provider-specific detail tokens from an OpenAI CompletionUsage.
|
||||
func extractUsageDetails(usage openai.CompletionUsage) map[string]int {
|
||||
details := map[string]int{}
|
||||
if usage.CompletionTokensDetails.ReasoningTokens > 0 {
|
||||
details[provider.UsageDetailReasoningTokens] = int(usage.CompletionTokensDetails.ReasoningTokens)
|
||||
}
|
||||
if usage.CompletionTokensDetails.AudioTokens > 0 {
|
||||
details[provider.UsageDetailAudioOutputTokens] = int(usage.CompletionTokensDetails.AudioTokens)
|
||||
}
|
||||
if usage.PromptTokensDetails.CachedTokens > 0 {
|
||||
details[provider.UsageDetailCachedInputTokens] = int(usage.PromptTokensDetails.CachedTokens)
|
||||
}
|
||||
if usage.PromptTokensDetails.AudioTokens > 0 {
|
||||
details[provider.UsageDetailAudioInputTokens] = int(usage.PromptTokensDetails.AudioTokens)
|
||||
}
|
||||
if len(details) == 0 {
|
||||
return nil
|
||||
}
|
||||
return details
|
||||
}
|
||||
|
||||
// audioFormatFromURL guesses the audio format from a URL's file extension.
|
||||
func audioFormatFromURL(u string) string {
|
||||
ext := strings.ToLower(path.Ext(u))
|
||||
switch ext {
|
||||
case ".mp3":
|
||||
return "audio/mp3"
|
||||
case ".wav":
|
||||
return "audio/wav"
|
||||
default:
|
||||
return "audio/wav"
|
||||
}
|
||||
// restrictTemperature reports whether OpenAI rejects a user-supplied
|
||||
// temperature for this model. o-series reasoning models and gpt-5* both do.
|
||||
func restrictTemperature(model string) bool {
|
||||
return strings.HasPrefix(model, "o") || strings.HasPrefix(model, "gpt-5")
|
||||
}
|
||||
|
||||
@@ -0,0 +1,537 @@
|
||||
// Package openaicompat implements a shared chat-completion Provider for any
|
||||
// service that speaks the OpenAI Chat Completions API (OpenAI itself, DeepSeek,
|
||||
// Moonshot, xAI, Groq, Ollama, and friends).
|
||||
//
|
||||
// Most providers differ from vanilla OpenAI only in endpoint URL and a handful
|
||||
// of per-model quirks (e.g., "this model is text-only", "this model doesn't
|
||||
// accept tools", "drop temperature on reasoning models"). Those quirks are
|
||||
// captured declaratively via Rules, so a concrete provider package is usually
|
||||
// a one-function wrapper that calls New with its own base URL and Rules.
|
||||
package openaicompat
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/base64"
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
"path"
|
||||
"strings"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
"github.com/openai/openai-go/option"
|
||||
"github.com/openai/openai-go/packages/param"
|
||||
"github.com/openai/openai-go/shared"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/provider"
|
||||
)
|
||||
|
||||
// Rules encodes provider-specific constraints on top of the OpenAI wire
|
||||
// protocol. The zero value means "no restrictions" and behaves like vanilla
|
||||
// OpenAI. Individual fields are documented inline.
|
||||
type Rules struct {
|
||||
// MaxImagesPerMessage rejects requests whose any single message carries
|
||||
// more images than this cap. 0 means "no cap".
|
||||
MaxImagesPerMessage int
|
||||
|
||||
// MaxAudioPerMessage rejects requests whose any single message carries
|
||||
// more audio attachments than this cap. 0 means "no cap".
|
||||
MaxAudioPerMessage int
|
||||
|
||||
// SupportsVision, when non-nil, is consulted for every request that
|
||||
// includes any image attachments. If it returns false for the request's
|
||||
// model, the call fails with a FeatureUnsupportedError before hitting
|
||||
// the network.
|
||||
SupportsVision func(model string) bool
|
||||
|
||||
// SupportsTools, when non-nil, is consulted for every request that
|
||||
// includes any tool definitions. If it returns false for the model,
|
||||
// the call fails with a FeatureUnsupportedError before hitting the
|
||||
// network.
|
||||
SupportsTools func(model string) bool
|
||||
|
||||
// SupportsAudio, when non-nil, is consulted for every request that
|
||||
// includes any audio attachments. If it returns false for the model,
|
||||
// the call fails with a FeatureUnsupportedError.
|
||||
SupportsAudio func(model string) bool
|
||||
|
||||
// RestrictTemperature, when non-nil and returning true for the request's
|
||||
// model, causes the Temperature field to be silently dropped from the
|
||||
// outgoing request. Used by OpenAI o-series and gpt-5* which reject a
|
||||
// user-provided temperature.
|
||||
RestrictTemperature func(model string) bool
|
||||
|
||||
// CustomizeRequest is a last-mile hook invoked after buildRequest but
|
||||
// before the call is sent. It receives the fully built OpenAI SDK
|
||||
// parameters and may mutate them freely (add headers, flip flags, tweak
|
||||
// response_format, etc.).
|
||||
CustomizeRequest func(params *openai.ChatCompletionNewParams)
|
||||
}
|
||||
|
||||
// FeatureUnsupportedError is returned when a Rules predicate rejects a request
|
||||
// because the target model does not support a feature the caller included.
|
||||
type FeatureUnsupportedError struct {
|
||||
Feature string
|
||||
Model string
|
||||
}
|
||||
|
||||
func (e *FeatureUnsupportedError) Error() string {
|
||||
return fmt.Sprintf("openaicompat: model %q does not support %s", e.Model, e.Feature)
|
||||
}
|
||||
|
||||
// Provider implements provider.Provider for any OpenAI-compatible endpoint.
|
||||
type Provider struct {
|
||||
apiKey string
|
||||
baseURL string
|
||||
rules Rules
|
||||
}
|
||||
|
||||
// New creates a Provider. baseURL may be empty to let the OpenAI SDK use its
|
||||
// default; in practice concrete provider packages always pass a default.
|
||||
func New(apiKey, baseURL string, rules Rules) *Provider {
|
||||
return &Provider{apiKey: apiKey, baseURL: baseURL, rules: rules}
|
||||
}
|
||||
|
||||
// Complete performs a non-streaming completion.
|
||||
func (p *Provider) Complete(ctx context.Context, req provider.Request) (provider.Response, error) {
|
||||
if err := p.checkRules(req); err != nil {
|
||||
return provider.Response{}, err
|
||||
}
|
||||
|
||||
cl := openai.NewClient(p.requestOptions()...)
|
||||
oaiReq := p.buildRequest(req)
|
||||
if p.rules.CustomizeRequest != nil {
|
||||
p.rules.CustomizeRequest(&oaiReq)
|
||||
}
|
||||
|
||||
resp, err := cl.Chat.Completions.New(ctx, oaiReq)
|
||||
if err != nil {
|
||||
return provider.Response{}, fmt.Errorf("openai completion error: %w", err)
|
||||
}
|
||||
|
||||
return p.convertResponse(resp), nil
|
||||
}
|
||||
|
||||
// Stream performs a streaming completion.
|
||||
func (p *Provider) Stream(ctx context.Context, req provider.Request, events chan<- provider.StreamEvent) error {
|
||||
if err := p.checkRules(req); err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
cl := openai.NewClient(p.requestOptions()...)
|
||||
oaiReq := p.buildRequest(req)
|
||||
oaiReq.StreamOptions = openai.ChatCompletionStreamOptionsParam{
|
||||
IncludeUsage: openai.Bool(true),
|
||||
}
|
||||
if p.rules.CustomizeRequest != nil {
|
||||
p.rules.CustomizeRequest(&oaiReq)
|
||||
}
|
||||
|
||||
stream := cl.Chat.Completions.NewStreaming(ctx, oaiReq)
|
||||
|
||||
var fullText strings.Builder
|
||||
var toolCalls []provider.ToolCall
|
||||
toolCallArgs := map[int]*strings.Builder{}
|
||||
var usage *provider.Usage
|
||||
|
||||
for stream.Next() {
|
||||
chunk := stream.Current()
|
||||
|
||||
// Capture usage from the final chunk (present when StreamOptions.IncludeUsage is true)
|
||||
if chunk.Usage.TotalTokens > 0 {
|
||||
usage = &provider.Usage{
|
||||
InputTokens: int(chunk.Usage.PromptTokens),
|
||||
OutputTokens: int(chunk.Usage.CompletionTokens),
|
||||
TotalTokens: int(chunk.Usage.TotalTokens),
|
||||
Details: extractUsageDetails(chunk.Usage),
|
||||
}
|
||||
}
|
||||
|
||||
for _, choice := range chunk.Choices {
|
||||
// Text delta
|
||||
if choice.Delta.Content != "" {
|
||||
fullText.WriteString(choice.Delta.Content)
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventText,
|
||||
Text: choice.Delta.Content,
|
||||
}
|
||||
}
|
||||
|
||||
// Tool call deltas
|
||||
for _, tc := range choice.Delta.ToolCalls {
|
||||
idx := int(tc.Index)
|
||||
|
||||
if tc.ID != "" {
|
||||
// New tool call starting
|
||||
for len(toolCalls) <= idx {
|
||||
toolCalls = append(toolCalls, provider.ToolCall{})
|
||||
}
|
||||
toolCalls[idx].ID = tc.ID
|
||||
toolCalls[idx].Name = tc.Function.Name
|
||||
toolCallArgs[idx] = &strings.Builder{}
|
||||
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventToolStart,
|
||||
ToolCall: &provider.ToolCall{
|
||||
ID: tc.ID,
|
||||
Name: tc.Function.Name,
|
||||
},
|
||||
ToolIndex: idx,
|
||||
}
|
||||
}
|
||||
|
||||
if tc.Function.Arguments != "" {
|
||||
if b, ok := toolCallArgs[idx]; ok {
|
||||
b.WriteString(tc.Function.Arguments)
|
||||
}
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventToolDelta,
|
||||
ToolIndex: idx,
|
||||
ToolCall: &provider.ToolCall{
|
||||
Arguments: tc.Function.Arguments,
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if err := stream.Err(); err != nil {
|
||||
return fmt.Errorf("openai stream error: %w", err)
|
||||
}
|
||||
|
||||
// Finalize tool calls
|
||||
for idx := range toolCalls {
|
||||
if b, ok := toolCallArgs[idx]; ok {
|
||||
toolCalls[idx].Arguments = b.String()
|
||||
}
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventToolEnd,
|
||||
ToolIndex: idx,
|
||||
ToolCall: &toolCalls[idx],
|
||||
}
|
||||
}
|
||||
|
||||
events <- provider.StreamEvent{
|
||||
Type: provider.StreamEventDone,
|
||||
Response: &provider.Response{
|
||||
Text: fullText.String(),
|
||||
ToolCalls: toolCalls,
|
||||
Usage: usage,
|
||||
},
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
func (p *Provider) requestOptions() []option.RequestOption {
|
||||
opts := []option.RequestOption{option.WithAPIKey(p.apiKey)}
|
||||
if p.baseURL != "" {
|
||||
opts = append(opts, option.WithBaseURL(p.baseURL))
|
||||
}
|
||||
return opts
|
||||
}
|
||||
|
||||
// checkRules applies all Rules predicates against a request and returns an
|
||||
// error if any constraint is violated. Runs before any network call.
|
||||
func (p *Provider) checkRules(req provider.Request) error {
|
||||
var hasImages, hasAudio bool
|
||||
for _, msg := range req.Messages {
|
||||
if len(msg.Images) > 0 {
|
||||
hasImages = true
|
||||
}
|
||||
if len(msg.Audio) > 0 {
|
||||
hasAudio = true
|
||||
}
|
||||
if p.rules.MaxImagesPerMessage > 0 && len(msg.Images) > p.rules.MaxImagesPerMessage {
|
||||
return fmt.Errorf("openaicompat: message has %d images, max allowed is %d for model %q",
|
||||
len(msg.Images), p.rules.MaxImagesPerMessage, req.Model)
|
||||
}
|
||||
if p.rules.MaxAudioPerMessage > 0 && len(msg.Audio) > p.rules.MaxAudioPerMessage {
|
||||
return fmt.Errorf("openaicompat: message has %d audio attachments, max allowed is %d for model %q",
|
||||
len(msg.Audio), p.rules.MaxAudioPerMessage, req.Model)
|
||||
}
|
||||
}
|
||||
|
||||
if hasImages && p.rules.SupportsVision != nil && !p.rules.SupportsVision(req.Model) {
|
||||
return &FeatureUnsupportedError{Feature: "vision", Model: req.Model}
|
||||
}
|
||||
if hasAudio && p.rules.SupportsAudio != nil && !p.rules.SupportsAudio(req.Model) {
|
||||
return &FeatureUnsupportedError{Feature: "audio", Model: req.Model}
|
||||
}
|
||||
if len(req.Tools) > 0 && p.rules.SupportsTools != nil && !p.rules.SupportsTools(req.Model) {
|
||||
return &FeatureUnsupportedError{Feature: "tools", Model: req.Model}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func (p *Provider) buildRequest(req provider.Request) openai.ChatCompletionNewParams {
|
||||
oaiReq := openai.ChatCompletionNewParams{
|
||||
Model: req.Model,
|
||||
}
|
||||
|
||||
for _, msg := range req.Messages {
|
||||
oaiReq.Messages = append(oaiReq.Messages, convertMessage(msg, req.Model))
|
||||
}
|
||||
|
||||
for _, tool := range req.Tools {
|
||||
oaiReq.Tools = append(oaiReq.Tools, openai.ChatCompletionToolParam{
|
||||
Type: "function",
|
||||
Function: shared.FunctionDefinitionParam{
|
||||
Name: tool.Name,
|
||||
Description: openai.String(tool.Description),
|
||||
Parameters: openai.FunctionParameters(tool.Schema),
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
if req.Temperature != nil {
|
||||
if p.rules.RestrictTemperature == nil || !p.rules.RestrictTemperature(req.Model) {
|
||||
oaiReq.Temperature = openai.Float(*req.Temperature)
|
||||
}
|
||||
}
|
||||
|
||||
if req.MaxTokens != nil {
|
||||
oaiReq.MaxCompletionTokens = openai.Int(int64(*req.MaxTokens))
|
||||
}
|
||||
|
||||
if req.TopP != nil {
|
||||
oaiReq.TopP = openai.Float(*req.TopP)
|
||||
}
|
||||
|
||||
if len(req.Stop) > 0 {
|
||||
oaiReq.Stop = openai.ChatCompletionNewParamsStopUnion{OfString: openai.String(req.Stop[0])}
|
||||
}
|
||||
|
||||
return oaiReq
|
||||
}
|
||||
|
||||
func convertMessage(msg provider.Message, model string) openai.ChatCompletionMessageParamUnion {
|
||||
var arrayOfContentParts []openai.ChatCompletionContentPartUnionParam
|
||||
var textContent param.Opt[string]
|
||||
|
||||
for _, img := range msg.Images {
|
||||
var url string
|
||||
if img.Base64 != "" {
|
||||
url = "data:" + img.ContentType + ";base64," + img.Base64
|
||||
} else if img.URL != "" {
|
||||
url = img.URL
|
||||
}
|
||||
if url != "" {
|
||||
arrayOfContentParts = append(arrayOfContentParts,
|
||||
openai.ChatCompletionContentPartUnionParam{
|
||||
OfImageURL: &openai.ChatCompletionContentPartImageParam{
|
||||
ImageURL: openai.ChatCompletionContentPartImageImageURLParam{
|
||||
URL: url,
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
for _, aud := range msg.Audio {
|
||||
var b64Data string
|
||||
var format string
|
||||
|
||||
if aud.Base64 != "" {
|
||||
b64Data = aud.Base64
|
||||
format = audioFormat(aud.ContentType)
|
||||
} else if aud.URL != "" {
|
||||
resp, err := http.Get(aud.URL)
|
||||
if err != nil {
|
||||
continue
|
||||
}
|
||||
data, err := io.ReadAll(resp.Body)
|
||||
resp.Body.Close()
|
||||
if err != nil {
|
||||
continue
|
||||
}
|
||||
b64Data = base64.StdEncoding.EncodeToString(data)
|
||||
ct := resp.Header.Get("Content-Type")
|
||||
if ct == "" {
|
||||
ct = aud.ContentType
|
||||
}
|
||||
if ct == "" {
|
||||
ct = audioFormatFromURL(aud.URL)
|
||||
}
|
||||
format = audioFormat(ct)
|
||||
}
|
||||
|
||||
if b64Data != "" && format != "" {
|
||||
arrayOfContentParts = append(arrayOfContentParts,
|
||||
openai.ChatCompletionContentPartUnionParam{
|
||||
OfInputAudio: &openai.ChatCompletionContentPartInputAudioParam{
|
||||
InputAudio: openai.ChatCompletionContentPartInputAudioInputAudioParam{
|
||||
Data: b64Data,
|
||||
Format: format,
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
if msg.Content != "" {
|
||||
if len(arrayOfContentParts) > 0 {
|
||||
arrayOfContentParts = append(arrayOfContentParts,
|
||||
openai.ChatCompletionContentPartUnionParam{
|
||||
OfText: &openai.ChatCompletionContentPartTextParam{
|
||||
Text: msg.Content,
|
||||
},
|
||||
},
|
||||
)
|
||||
} else {
|
||||
textContent = openai.String(msg.Content)
|
||||
}
|
||||
}
|
||||
|
||||
// Determine if this model uses developer messages instead of system
|
||||
useDeveloper := false
|
||||
parts := strings.Split(model, "-")
|
||||
if len(parts) > 1 && len(parts[0]) > 0 && parts[0][0] == 'o' {
|
||||
useDeveloper = true
|
||||
}
|
||||
|
||||
switch msg.Role {
|
||||
case "system":
|
||||
if useDeveloper {
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfDeveloper: &openai.ChatCompletionDeveloperMessageParam{
|
||||
Content: openai.ChatCompletionDeveloperMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfSystem: &openai.ChatCompletionSystemMessageParam{
|
||||
Content: openai.ChatCompletionSystemMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
case "user":
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfUser: &openai.ChatCompletionUserMessageParam{
|
||||
Content: openai.ChatCompletionUserMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
OfArrayOfContentParts: arrayOfContentParts,
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
case "assistant":
|
||||
as := &openai.ChatCompletionAssistantMessageParam{}
|
||||
if msg.Content != "" {
|
||||
as.Content.OfString = openai.String(msg.Content)
|
||||
}
|
||||
for _, tc := range msg.ToolCalls {
|
||||
as.ToolCalls = append(as.ToolCalls, openai.ChatCompletionMessageToolCallParam{
|
||||
ID: tc.ID,
|
||||
Function: openai.ChatCompletionMessageToolCallFunctionParam{
|
||||
Name: tc.Name,
|
||||
Arguments: tc.Arguments,
|
||||
},
|
||||
})
|
||||
}
|
||||
return openai.ChatCompletionMessageParamUnion{OfAssistant: as}
|
||||
|
||||
case "tool":
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfTool: &openai.ChatCompletionToolMessageParam{
|
||||
ToolCallID: msg.ToolCallID,
|
||||
Content: openai.ChatCompletionToolMessageParamContentUnion{
|
||||
OfString: openai.String(msg.Content),
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
// Fallback to user message
|
||||
return openai.ChatCompletionMessageParamUnion{
|
||||
OfUser: &openai.ChatCompletionUserMessageParam{
|
||||
Content: openai.ChatCompletionUserMessageParamContentUnion{
|
||||
OfString: textContent,
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func (p *Provider) convertResponse(resp *openai.ChatCompletion) provider.Response {
|
||||
var res provider.Response
|
||||
|
||||
if resp == nil || len(resp.Choices) == 0 {
|
||||
return res
|
||||
}
|
||||
|
||||
choice := resp.Choices[0]
|
||||
res.Text = choice.Message.Content
|
||||
|
||||
for _, tc := range choice.Message.ToolCalls {
|
||||
res.ToolCalls = append(res.ToolCalls, provider.ToolCall{
|
||||
ID: tc.ID,
|
||||
Name: tc.Function.Name,
|
||||
Arguments: strings.TrimSpace(tc.Function.Arguments),
|
||||
})
|
||||
}
|
||||
|
||||
if resp.Usage.TotalTokens > 0 {
|
||||
res.Usage = &provider.Usage{
|
||||
InputTokens: int(resp.Usage.PromptTokens),
|
||||
OutputTokens: int(resp.Usage.CompletionTokens),
|
||||
TotalTokens: int(resp.Usage.TotalTokens),
|
||||
}
|
||||
res.Usage.Details = extractUsageDetails(resp.Usage)
|
||||
}
|
||||
|
||||
return res
|
||||
}
|
||||
|
||||
// audioFormat converts a MIME type to an OpenAI audio format string ("wav" or "mp3").
|
||||
func audioFormat(contentType string) string {
|
||||
ct := strings.ToLower(contentType)
|
||||
switch {
|
||||
case strings.Contains(ct, "wav"):
|
||||
return "wav"
|
||||
case strings.Contains(ct, "mp3"), strings.Contains(ct, "mpeg"):
|
||||
return "mp3"
|
||||
default:
|
||||
return "wav"
|
||||
}
|
||||
}
|
||||
|
||||
// extractUsageDetails extracts provider-specific detail tokens from an OpenAI CompletionUsage.
|
||||
func extractUsageDetails(usage openai.CompletionUsage) map[string]int {
|
||||
details := map[string]int{}
|
||||
if usage.CompletionTokensDetails.ReasoningTokens > 0 {
|
||||
details[provider.UsageDetailReasoningTokens] = int(usage.CompletionTokensDetails.ReasoningTokens)
|
||||
}
|
||||
if usage.CompletionTokensDetails.AudioTokens > 0 {
|
||||
details[provider.UsageDetailAudioOutputTokens] = int(usage.CompletionTokensDetails.AudioTokens)
|
||||
}
|
||||
if usage.PromptTokensDetails.CachedTokens > 0 {
|
||||
details[provider.UsageDetailCachedInputTokens] = int(usage.PromptTokensDetails.CachedTokens)
|
||||
}
|
||||
if usage.PromptTokensDetails.AudioTokens > 0 {
|
||||
details[provider.UsageDetailAudioInputTokens] = int(usage.PromptTokensDetails.AudioTokens)
|
||||
}
|
||||
if len(details) == 0 {
|
||||
return nil
|
||||
}
|
||||
return details
|
||||
}
|
||||
|
||||
// audioFormatFromURL guesses the audio format from a URL's file extension.
|
||||
func audioFormatFromURL(u string) string {
|
||||
ext := strings.ToLower(path.Ext(u))
|
||||
switch ext {
|
||||
case ".mp3":
|
||||
return "audio/mp3"
|
||||
case ".wav":
|
||||
return "audio/wav"
|
||||
default:
|
||||
return "audio/wav"
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,313 @@
|
||||
package openaicompat_test
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"io"
|
||||
"net/http"
|
||||
"net/http/httptest"
|
||||
"strings"
|
||||
"testing"
|
||||
|
||||
"github.com/openai/openai-go"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/provider"
|
||||
)
|
||||
|
||||
// newTestServer returns a httptest server that captures the raw request body
|
||||
// on POST /chat/completions and returns a canned OpenAI response so Complete()
|
||||
// succeeds. Use `captured` to assert on what the provider would send.
|
||||
func newTestServer(t *testing.T) (*httptest.Server, *[]byte) {
|
||||
t.Helper()
|
||||
var body []byte
|
||||
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||||
if r.URL.Path != "/chat/completions" {
|
||||
http.NotFound(w, r)
|
||||
return
|
||||
}
|
||||
b, err := io.ReadAll(r.Body)
|
||||
if err != nil {
|
||||
t.Errorf("read body: %v", err)
|
||||
}
|
||||
body = b
|
||||
w.Header().Set("Content-Type", "application/json")
|
||||
_, _ = io.WriteString(w, `{
|
||||
"id": "cmpl-1",
|
||||
"object": "chat.completion",
|
||||
"choices": [{
|
||||
"index": 0,
|
||||
"message": {"role":"assistant","content":"ok"},
|
||||
"finish_reason": "stop"
|
||||
}],
|
||||
"usage": {"prompt_tokens":1,"completion_tokens":1,"total_tokens":2}
|
||||
}`)
|
||||
}))
|
||||
return srv, &body
|
||||
}
|
||||
|
||||
func textReq(model, content string) provider.Request {
|
||||
return provider.Request{
|
||||
Model: model,
|
||||
Messages: []provider.Message{{Role: "user", Content: content}},
|
||||
}
|
||||
}
|
||||
|
||||
func TestComplete_ZeroRulesPassesThrough(t *testing.T) {
|
||||
srv, body := newTestServer(t)
|
||||
defer srv.Close()
|
||||
|
||||
temp := 0.7
|
||||
req := textReq("gpt-4o", "hi")
|
||||
req.Temperature = &temp
|
||||
|
||||
p := openaicompat.New("test-key", srv.URL, openaicompat.Rules{})
|
||||
resp, err := p.Complete(context.Background(), req)
|
||||
if err != nil {
|
||||
t.Fatalf("Complete: %v", err)
|
||||
}
|
||||
if resp.Text != "ok" {
|
||||
t.Errorf("Text = %q, want %q", resp.Text, "ok")
|
||||
}
|
||||
|
||||
// Temperature should be present since RestrictTemperature is nil.
|
||||
var parsed map[string]any
|
||||
if err := json.Unmarshal(*body, &parsed); err != nil {
|
||||
t.Fatalf("unmarshal request body: %v", err)
|
||||
}
|
||||
if _, ok := parsed["temperature"]; !ok {
|
||||
t.Errorf("expected temperature in request body, got: %s", *body)
|
||||
}
|
||||
}
|
||||
|
||||
func TestComplete_RestrictTemperatureDropsField(t *testing.T) {
|
||||
srv, body := newTestServer(t)
|
||||
defer srv.Close()
|
||||
|
||||
temp := 0.7
|
||||
req := textReq("o1", "hi")
|
||||
req.Temperature = &temp
|
||||
|
||||
p := openaicompat.New("test-key", srv.URL, openaicompat.Rules{
|
||||
RestrictTemperature: func(m string) bool { return strings.HasPrefix(m, "o") },
|
||||
})
|
||||
if _, err := p.Complete(context.Background(), req); err != nil {
|
||||
t.Fatalf("Complete: %v", err)
|
||||
}
|
||||
|
||||
var parsed map[string]any
|
||||
if err := json.Unmarshal(*body, &parsed); err != nil {
|
||||
t.Fatalf("unmarshal: %v", err)
|
||||
}
|
||||
if _, ok := parsed["temperature"]; ok {
|
||||
t.Errorf("temperature should be dropped for o1, got: %s", *body)
|
||||
}
|
||||
}
|
||||
|
||||
func TestComplete_SupportsVisionRejectsWhenFalse(t *testing.T) {
|
||||
srv, _ := newTestServer(t)
|
||||
defer srv.Close()
|
||||
|
||||
req := provider.Request{
|
||||
Model: "deepseek-chat",
|
||||
Messages: []provider.Message{{
|
||||
Role: "user",
|
||||
Content: "describe",
|
||||
Images: []provider.Image{{URL: "https://example.com/a.png"}},
|
||||
}},
|
||||
}
|
||||
p := openaicompat.New("test-key", srv.URL, openaicompat.Rules{
|
||||
SupportsVision: func(string) bool { return false },
|
||||
})
|
||||
_, err := p.Complete(context.Background(), req)
|
||||
var fue *openaicompat.FeatureUnsupportedError
|
||||
if !errors.As(err, &fue) {
|
||||
t.Fatalf("want FeatureUnsupportedError, got %v", err)
|
||||
}
|
||||
if fue.Feature != "vision" || fue.Model != "deepseek-chat" {
|
||||
t.Errorf("unexpected err: %+v", fue)
|
||||
}
|
||||
}
|
||||
|
||||
func TestComplete_SupportsToolsRejectsWhenFalse(t *testing.T) {
|
||||
srv, _ := newTestServer(t)
|
||||
defer srv.Close()
|
||||
|
||||
req := provider.Request{
|
||||
Model: "deepseek-reasoner",
|
||||
Messages: []provider.Message{{Role: "user", Content: "hi"}},
|
||||
Tools: []provider.ToolDef{
|
||||
{Name: "get_weather", Description: "weather", Schema: map[string]any{"type": "object"}},
|
||||
},
|
||||
}
|
||||
p := openaicompat.New("test-key", srv.URL, openaicompat.Rules{
|
||||
SupportsTools: func(m string) bool { return !strings.Contains(m, "reasoner") },
|
||||
})
|
||||
_, err := p.Complete(context.Background(), req)
|
||||
var fue *openaicompat.FeatureUnsupportedError
|
||||
if !errors.As(err, &fue) {
|
||||
t.Fatalf("want FeatureUnsupportedError, got %v", err)
|
||||
}
|
||||
if fue.Feature != "tools" {
|
||||
t.Errorf("feature = %q, want tools", fue.Feature)
|
||||
}
|
||||
}
|
||||
|
||||
func TestComplete_SupportsAudioRejectsWhenFalse(t *testing.T) {
|
||||
srv, _ := newTestServer(t)
|
||||
defer srv.Close()
|
||||
|
||||
req := provider.Request{
|
||||
Model: "groq-llama",
|
||||
Messages: []provider.Message{{
|
||||
Role: "user",
|
||||
Audio: []provider.Audio{{Base64: "AAA=", ContentType: "audio/wav"}},
|
||||
}},
|
||||
}
|
||||
p := openaicompat.New("test-key", srv.URL, openaicompat.Rules{
|
||||
SupportsAudio: func(string) bool { return false },
|
||||
})
|
||||
_, err := p.Complete(context.Background(), req)
|
||||
var fue *openaicompat.FeatureUnsupportedError
|
||||
if !errors.As(err, &fue) {
|
||||
t.Fatalf("want FeatureUnsupportedError, got %v", err)
|
||||
}
|
||||
if fue.Feature != "audio" {
|
||||
t.Errorf("feature = %q, want audio", fue.Feature)
|
||||
}
|
||||
}
|
||||
|
||||
func TestComplete_MaxImagesPerMessage(t *testing.T) {
|
||||
srv, _ := newTestServer(t)
|
||||
defer srv.Close()
|
||||
|
||||
req := provider.Request{
|
||||
Model: "anything",
|
||||
Messages: []provider.Message{{
|
||||
Role: "user",
|
||||
Images: []provider.Image{
|
||||
{URL: "a"}, {URL: "b"}, {URL: "c"},
|
||||
},
|
||||
}},
|
||||
}
|
||||
p := openaicompat.New("test-key", srv.URL, openaicompat.Rules{MaxImagesPerMessage: 2})
|
||||
_, err := p.Complete(context.Background(), req)
|
||||
if err == nil || !strings.Contains(err.Error(), "max allowed is 2") {
|
||||
t.Fatalf("want max-images error, got %v", err)
|
||||
}
|
||||
|
||||
// Exactly at limit succeeds.
|
||||
req.Messages[0].Images = req.Messages[0].Images[:2]
|
||||
if _, err := p.Complete(context.Background(), req); err != nil {
|
||||
t.Errorf("at-limit request should succeed, got %v", err)
|
||||
}
|
||||
}
|
||||
|
||||
func TestComplete_CustomizeRequestInvoked(t *testing.T) {
|
||||
srv, body := newTestServer(t)
|
||||
defer srv.Close()
|
||||
|
||||
called := false
|
||||
p := openaicompat.New("test-key", srv.URL, openaicompat.Rules{
|
||||
CustomizeRequest: func(params *openai.ChatCompletionNewParams) {
|
||||
called = true
|
||||
// Confirm we receive a non-empty built request.
|
||||
if params.Model != "gpt-4o" {
|
||||
t.Errorf("CustomizeRequest saw model %q, want gpt-4o", params.Model)
|
||||
}
|
||||
// Mutation here should end up on the wire.
|
||||
params.User = openai.String("test-user")
|
||||
},
|
||||
})
|
||||
if _, err := p.Complete(context.Background(), textReq("gpt-4o", "hi")); err != nil {
|
||||
t.Fatalf("Complete: %v", err)
|
||||
}
|
||||
if !called {
|
||||
t.Fatal("CustomizeRequest hook was not invoked")
|
||||
}
|
||||
if !strings.Contains(string(*body), `"user":"test-user"`) {
|
||||
t.Errorf("mutation from CustomizeRequest not reflected on wire: %s", *body)
|
||||
}
|
||||
}
|
||||
|
||||
func TestStream_EmitsDoneAndText(t *testing.T) {
|
||||
// SSE stream with one content chunk then [DONE].
|
||||
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||||
w.Header().Set("Content-Type", "text/event-stream")
|
||||
flusher, _ := w.(http.Flusher)
|
||||
for _, line := range []string{
|
||||
`data: {"id":"1","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"hel"}}]}`,
|
||||
`data: {"id":"1","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"lo"}}]}`,
|
||||
`data: {"id":"1","object":"chat.completion.chunk","choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":{"prompt_tokens":1,"completion_tokens":2,"total_tokens":3}}`,
|
||||
`data: [DONE]`,
|
||||
} {
|
||||
_, _ = io.WriteString(w, line+"\n\n")
|
||||
if flusher != nil {
|
||||
flusher.Flush()
|
||||
}
|
||||
}
|
||||
}))
|
||||
defer srv.Close()
|
||||
|
||||
p := openaicompat.New("test-key", srv.URL, openaicompat.Rules{})
|
||||
events := make(chan provider.StreamEvent, 16)
|
||||
go func() {
|
||||
_ = p.Stream(context.Background(), textReq("gpt-4o", "hi"), events)
|
||||
close(events)
|
||||
}()
|
||||
|
||||
var text strings.Builder
|
||||
var sawDone bool
|
||||
var doneUsage *provider.Usage
|
||||
for ev := range events {
|
||||
switch ev.Type {
|
||||
case provider.StreamEventText:
|
||||
text.WriteString(ev.Text)
|
||||
case provider.StreamEventDone:
|
||||
sawDone = true
|
||||
if ev.Response != nil {
|
||||
doneUsage = ev.Response.Usage
|
||||
}
|
||||
}
|
||||
}
|
||||
if text.String() != "hello" {
|
||||
t.Errorf("got text %q, want %q", text.String(), "hello")
|
||||
}
|
||||
if !sawDone {
|
||||
t.Fatal("no Done event emitted")
|
||||
}
|
||||
if doneUsage == nil || doneUsage.TotalTokens != 3 {
|
||||
t.Errorf("usage on Done = %+v, want TotalTokens=3", doneUsage)
|
||||
}
|
||||
}
|
||||
|
||||
func TestStream_RulesCheckedBeforeNetwork(t *testing.T) {
|
||||
// Server should never be hit when rules reject up front.
|
||||
hit := false
|
||||
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
||||
hit = true
|
||||
w.WriteHeader(http.StatusInternalServerError)
|
||||
}))
|
||||
defer srv.Close()
|
||||
|
||||
p := openaicompat.New("test-key", srv.URL, openaicompat.Rules{
|
||||
SupportsVision: func(string) bool { return false },
|
||||
})
|
||||
req := provider.Request{
|
||||
Model: "no-vision-model",
|
||||
Messages: []provider.Message{{
|
||||
Role: "user",
|
||||
Images: []provider.Image{{URL: "a"}},
|
||||
}},
|
||||
}
|
||||
events := make(chan provider.StreamEvent, 4)
|
||||
err := p.Stream(context.Background(), req, events)
|
||||
var fue *openaicompat.FeatureUnsupportedError
|
||||
if !errors.As(err, &fue) {
|
||||
t.Fatalf("want FeatureUnsupportedError, got %v", err)
|
||||
}
|
||||
if hit {
|
||||
t.Error("server was contacted despite Rules violation")
|
||||
}
|
||||
}
|
||||
+158
@@ -0,0 +1,158 @@
|
||||
package llm
|
||||
|
||||
import (
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/deepseek"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/groq"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/moonshot"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/ollama"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openai"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/xai"
|
||||
)
|
||||
|
||||
// ProviderInfo describes a registered provider for discovery purposes (CLI
|
||||
// pickers, wiring layers, admin tools). It is the single source of truth for
|
||||
// "what providers exist and how do I instantiate one."
|
||||
type ProviderInfo struct {
|
||||
// Name is the short lowercase identifier used in provider/model strings
|
||||
// (e.g., "openai", "deepseek", "moonshot").
|
||||
Name string
|
||||
|
||||
// DisplayName is a human-readable label for UIs.
|
||||
DisplayName string
|
||||
|
||||
// EnvKey is the conventional environment variable that holds the API key
|
||||
// for this provider. Empty string means "no key needed" (e.g., Ollama).
|
||||
EnvKey string
|
||||
|
||||
// DefaultURL is the default base URL used when no override is supplied.
|
||||
DefaultURL string
|
||||
|
||||
// Models is a list of well-known model names, populated for CLI pickers
|
||||
// and similar. It is not exhaustive and not validated against the API.
|
||||
Models []string
|
||||
|
||||
// New returns a ready-to-use Client for this provider, given an API key
|
||||
// (ignored for key-less providers like Ollama) and optional ClientOptions.
|
||||
New func(apiKey string, opts ...ClientOption) *Client
|
||||
}
|
||||
|
||||
// providerRegistry is the in-process list of known providers. Order is
|
||||
// intentional: the three original providers first, then OpenAI-compatible
|
||||
// additions in the order they were added.
|
||||
var providerRegistry = []ProviderInfo{
|
||||
{
|
||||
Name: "openai",
|
||||
DisplayName: "OpenAI",
|
||||
EnvKey: "OPENAI_API_KEY",
|
||||
DefaultURL: openai.DefaultBaseURL,
|
||||
Models: []string{
|
||||
"gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano",
|
||||
"gpt-4o", "gpt-4o-mini",
|
||||
"gpt-4-turbo", "gpt-3.5-turbo",
|
||||
"o1", "o1-mini", "o1-preview", "o3-mini",
|
||||
},
|
||||
New: OpenAI,
|
||||
},
|
||||
{
|
||||
Name: "anthropic",
|
||||
DisplayName: "Anthropic",
|
||||
EnvKey: "ANTHROPIC_API_KEY",
|
||||
DefaultURL: "https://api.anthropic.com",
|
||||
Models: []string{
|
||||
"claude-opus-4-7",
|
||||
"claude-sonnet-4-6",
|
||||
"claude-haiku-4-5-20251001",
|
||||
"claude-opus-4-20250514",
|
||||
"claude-sonnet-4-20250514",
|
||||
"claude-3-7-sonnet-20250219",
|
||||
"claude-3-5-sonnet-20241022",
|
||||
"claude-3-5-haiku-20241022",
|
||||
},
|
||||
New: Anthropic,
|
||||
},
|
||||
{
|
||||
Name: "google",
|
||||
DisplayName: "Google",
|
||||
EnvKey: "GOOGLE_API_KEY",
|
||||
DefaultURL: "https://generativelanguage.googleapis.com",
|
||||
Models: []string{
|
||||
"gemini-2.0-flash", "gemini-2.0-flash-lite",
|
||||
"gemini-1.5-pro", "gemini-1.5-flash", "gemini-1.5-flash-8b",
|
||||
},
|
||||
New: Google,
|
||||
},
|
||||
{
|
||||
Name: "deepseek",
|
||||
DisplayName: "DeepSeek",
|
||||
EnvKey: "DEEPSEEK_API_KEY",
|
||||
DefaultURL: deepseek.DefaultBaseURL,
|
||||
Models: []string{"deepseek-chat", "deepseek-reasoner"},
|
||||
New: DeepSeek,
|
||||
},
|
||||
{
|
||||
Name: "moonshot",
|
||||
DisplayName: "Moonshot (Kimi)",
|
||||
EnvKey: "MOONSHOT_API_KEY",
|
||||
DefaultURL: moonshot.DefaultBaseURL,
|
||||
Models: []string{
|
||||
"kimi-k2-0711-preview",
|
||||
"moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k",
|
||||
"moonshot-v1-8k-vision-preview",
|
||||
},
|
||||
New: Moonshot,
|
||||
},
|
||||
{
|
||||
Name: "xai",
|
||||
DisplayName: "xAI (Grok)",
|
||||
EnvKey: "XAI_API_KEY",
|
||||
DefaultURL: xai.DefaultBaseURL,
|
||||
Models: []string{
|
||||
"grok-2", "grok-2-mini", "grok-2-vision", "grok-beta",
|
||||
},
|
||||
New: XAI,
|
||||
},
|
||||
{
|
||||
Name: "groq",
|
||||
DisplayName: "Groq",
|
||||
EnvKey: "GROQ_API_KEY",
|
||||
DefaultURL: groq.DefaultBaseURL,
|
||||
Models: []string{
|
||||
"llama-3.3-70b-versatile",
|
||||
"llama-3.1-8b-instant",
|
||||
"mixtral-8x7b-32768",
|
||||
"gemma2-9b-it",
|
||||
"llama-3.2-90b-vision-preview",
|
||||
},
|
||||
New: Groq,
|
||||
},
|
||||
{
|
||||
Name: "ollama",
|
||||
DisplayName: "Ollama (local)",
|
||||
EnvKey: "", // no key needed
|
||||
DefaultURL: ollama.DefaultBaseURL,
|
||||
Models: []string{
|
||||
"llama3.2", "llama3.1", "qwen2.5", "mistral", "gemma2", "phi4",
|
||||
},
|
||||
New: func(_ string, opts ...ClientOption) *Client { return Ollama(opts...) },
|
||||
},
|
||||
}
|
||||
|
||||
// Providers returns a copy of the registered provider list so callers cannot
|
||||
// mutate library state.
|
||||
func Providers() []ProviderInfo {
|
||||
out := make([]ProviderInfo, len(providerRegistry))
|
||||
copy(out, providerRegistry)
|
||||
return out
|
||||
}
|
||||
|
||||
// ProviderByName returns the registered ProviderInfo with the given name, or
|
||||
// nil if no such provider is registered. Name matching is exact.
|
||||
func ProviderByName(name string) *ProviderInfo {
|
||||
for i := range providerRegistry {
|
||||
if providerRegistry[i].Name == name {
|
||||
p := providerRegistry[i]
|
||||
return &p
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
@@ -0,0 +1,29 @@
|
||||
// Package xai implements the go-llm v2 provider interface for xAI (Grok,
|
||||
// https://x.ai/api). xAI speaks OpenAI Chat Completions, so this package is a
|
||||
// thin wrapper over openaicompat with its own defaults and per-model Rules.
|
||||
package xai
|
||||
|
||||
import (
|
||||
"strings"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
)
|
||||
|
||||
// DefaultBaseURL is the public xAI API endpoint.
|
||||
const DefaultBaseURL = "https://api.x.ai/v1"
|
||||
|
||||
// Provider is a type alias over openaicompat.Provider.
|
||||
type Provider = openaicompat.Provider
|
||||
|
||||
// New creates a new xAI provider. An empty baseURL uses DefaultBaseURL.
|
||||
func New(apiKey, baseURL string) *Provider {
|
||||
if baseURL == "" {
|
||||
baseURL = DefaultBaseURL
|
||||
}
|
||||
return openaicompat.New(apiKey, baseURL, openaicompat.Rules{
|
||||
// Grok models whose name contains "vision" accept images; others don't.
|
||||
SupportsVision: func(m string) bool {
|
||||
return strings.Contains(m, "vision")
|
||||
},
|
||||
})
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
package xai_test
|
||||
|
||||
import (
|
||||
"context"
|
||||
"errors"
|
||||
"testing"
|
||||
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/openaicompat"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/provider"
|
||||
"gitea.stevedudenhoeffer.com/steve/go-llm/v2/xai"
|
||||
)
|
||||
|
||||
func TestNew_Basic(t *testing.T) {
|
||||
if p := xai.New("key", ""); p == nil {
|
||||
t.Fatal("New returned nil")
|
||||
}
|
||||
}
|
||||
|
||||
func TestRules_Grok2RejectsImages(t *testing.T) {
|
||||
p := xai.New("key", "")
|
||||
req := provider.Request{
|
||||
Model: "grok-2",
|
||||
Messages: []provider.Message{{
|
||||
Role: "user",
|
||||
Images: []provider.Image{{URL: "a"}},
|
||||
}},
|
||||
}
|
||||
_, err := p.Complete(context.Background(), req)
|
||||
var fue *openaicompat.FeatureUnsupportedError
|
||||
if !errors.As(err, &fue) || fue.Feature != "vision" {
|
||||
t.Fatalf("want FeatureUnsupportedError(vision), got %v", err)
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user