Private
Public Access
1
0

Large refactor - it compiles!

This refactor splits out all conversation concerns into a new
`conversation` package. There is now a split between `conversation` and
`api`s representation of `Message`, the latter storing the minimum
information required for interaction with LLM providers. There is
necessary conversation between the two when making LLM calls.
This commit is contained in:
2024-10-20 02:38:42 +00:00
parent 2ea8a73eb5
commit 0384c7cb66
33 changed files with 701 additions and 626 deletions

118
pkg/api/api.go Normal file
View File

@@ -0,0 +1,118 @@
package api
import (
"encoding/json"
"fmt"
)
type MessageRole string
const (
MessageRoleSystem MessageRole = "system"
MessageRoleUser MessageRole = "user"
MessageRoleAssistant MessageRole = "assistant"
MessageRoleToolCall MessageRole = "tool_call"
MessageRoleToolResult MessageRole = "tool_result"
)
type Message struct {
Content string // TODO: support multi-part messages
Role MessageRole
ToolCalls []ToolCall
ToolResults []ToolResult
}
type ToolSpec struct {
Name string
Description string
Parameters []ToolParameter
Impl func(*ToolSpec, map[string]interface{}) (string, error)
}
type ToolParameter struct {
Name string `json:"name"`
Type string `json:"type"` // "string", "integer", "boolean"
Required bool `json:"required"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
}
type ToolCall struct {
ID string `json:"id" yaml:"-"`
Name string `json:"name" yaml:"tool"`
Parameters map[string]interface{} `json:"parameters" yaml:"parameters"`
}
type ToolResult struct {
ToolCallID string `json:"toolCallID" yaml:"-"`
ToolName string `json:"toolName,omitempty" yaml:"tool"`
Result string `json:"result,omitempty" yaml:"result"`
}
func NewMessageWithAssistant(content string) *Message {
return &Message{
Role: MessageRoleAssistant,
Content: content,
}
}
func NewMessageWithToolCalls(content string, toolCalls []ToolCall) *Message {
return &Message{
Role: MessageRoleToolCall,
Content: content,
ToolCalls: toolCalls,
}
}
func (m MessageRole) IsAssistant() bool {
switch m {
case MessageRoleAssistant, MessageRoleToolCall:
return true
}
return false
}
func (m MessageRole) IsSystem() bool {
switch m {
case MessageRoleSystem:
return true
}
return false
}
// FriendlyRole returns a human friendly signifier for the message's role.
func (m MessageRole) FriendlyRole() string {
switch m {
case MessageRoleUser:
return "You"
case MessageRoleSystem:
return "System"
case MessageRoleAssistant:
return "Assistant"
case MessageRoleToolCall:
return "Tool Call"
case MessageRoleToolResult:
return "Tool Result"
default:
return string(m)
}
}
// TODO: remove this
type CallResult struct {
Message string `json:"message"`
Result any `json:"result,omitempty"`
}
func (r CallResult) ToJson() (string, error) {
if r.Message == "" {
// When message not supplied, assume success
r.Message = "success"
}
jsonBytes, err := json.Marshal(r)
if err != nil {
return "", fmt.Errorf("Could not marshal CallResult to JSON: %v\n", err)
}
return string(jsonBytes), nil
}

View File

@@ -1,106 +0,0 @@
package api
import (
"database/sql"
"database/sql/driver"
"encoding/json"
"time"
)
type Conversation struct {
ID uint `gorm:"primaryKey"`
ShortName sql.NullString
Title string
SelectedRootID *uint
SelectedRoot *Message `gorm:"foreignKey:SelectedRootID"`
}
type MessageRole string
const (
MessageRoleSystem MessageRole = "system"
MessageRoleUser MessageRole = "user"
MessageRoleAssistant MessageRole = "assistant"
MessageRoleToolCall MessageRole = "tool_call"
MessageRoleToolResult MessageRole = "tool_result"
)
type MessageMeta struct {
GenerationProvider *string `json:"generation_provider,omitempty"`
GenerationModel *string `json:"generation_model,omitempty"`
}
type Message struct {
ID uint `gorm:"primaryKey"`
CreatedAt time.Time
Metadata MessageMeta
ConversationID *uint `gorm:"index"`
Conversation *Conversation `gorm:"foreignKey:ConversationID"`
ParentID *uint
Parent *Message `gorm:"foreignKey:ParentID"`
Replies []Message `gorm:"foreignKey:ParentID"`
SelectedReplyID *uint
SelectedReply *Message `gorm:"foreignKey:SelectedReplyID"`
Role MessageRole
Content string
ToolCalls ToolCalls // a json array of tool calls (from the model)
ToolResults ToolResults // a json array of tool results
}
func (m *MessageMeta) Scan(value interface{}) error {
return json.Unmarshal(value.([]byte), m)
}
func (m MessageMeta) Value() (driver.Value, error) {
return json.Marshal(m)
}
func ApplySystemPrompt(m []Message, system string, force bool) []Message {
if len(m) > 0 && m[0].Role == MessageRoleSystem {
if force {
m[0].Content = system
}
return m
} else {
return append([]Message{{
Role: MessageRoleSystem,
Content: system,
}}, m...)
}
}
func (m MessageRole) IsAssistant() bool {
switch m {
case MessageRoleAssistant, MessageRoleToolCall:
return true
}
return false
}
func (m MessageRole) IsSystem() bool {
switch m {
case MessageRoleSystem:
return true
}
return false
}
// FriendlyRole returns a human friendly signifier for the message's role.
func (m MessageRole) FriendlyRole() string {
switch m {
case MessageRoleUser:
return "You"
case MessageRoleSystem:
return "System"
case MessageRoleAssistant:
return "Assistant"
case MessageRoleToolCall:
return "Tool Call"
case MessageRoleToolResult:
return "Tool Result"
default:
return string(m)
}
}

View File

@@ -1,453 +0,0 @@
package anthropic
import (
"bufio"
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"git.mlow.ca/mlow/lmcli/pkg/api"
"git.mlow.ca/mlow/lmcli/pkg/api/provider"
)
const ANTHROPIC_VERSION = "2023-06-01"
type AnthropicClient struct {
APIKey string
BaseURL string
}
type ChatCompletionMessage struct {
Role string `json:"role"`
Content interface{} `json:"content"`
}
type Tool struct {
Name string `json:"name"`
Description string `json:"description"`
InputSchema InputSchema `json:"input_schema"`
}
type InputSchema struct {
Type string `json:"type"`
Properties map[string]Property `json:"properties"`
Required []string `json:"required"`
}
type Property struct {
Type string `json:"type"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
}
type ChatCompletionRequest struct {
Model string `json:"model"`
Messages []ChatCompletionMessage `json:"messages"`
System string `json:"system,omitempty"`
Tools []Tool `json:"tools,omitempty"`
MaxTokens int `json:"max_tokens"`
Temperature float32 `json:"temperature,omitempty"`
Stream bool `json:"stream"`
}
type ContentBlock struct {
Type string `json:"type"`
Text string `json:"text,omitempty"`
ID string `json:"id,omitempty"`
Name string `json:"name,omitempty"`
Input interface{} `json:"input,omitempty"`
partialJsonAccumulator string
}
type ChatCompletionResponse struct {
ID string `json:"id"`
Type string `json:"type"`
Role string `json:"role"`
Model string `json:"model"`
Content []ContentBlock `json:"content"`
StopReason string `json:"stop_reason"`
Usage Usage `json:"usage"`
}
type Usage struct {
InputTokens int `json:"input_tokens"`
OutputTokens int `json:"output_tokens"`
}
type StreamEvent struct {
Type string `json:"type"`
Message interface{} `json:"message,omitempty"`
Index int `json:"index,omitempty"`
Delta interface{} `json:"delta,omitempty"`
}
func convertTools(tools []api.ToolSpec) []Tool {
anthropicTools := make([]Tool, len(tools))
for i, tool := range tools {
properties := make(map[string]Property)
for _, param := range tool.Parameters {
properties[param.Name] = Property{
Type: param.Type,
Description: param.Description,
Enum: param.Enum,
}
}
var required []string
for _, param := range tool.Parameters {
if param.Required {
required = append(required, param.Name)
}
}
anthropicTools[i] = Tool{
Name: tool.Name,
Description: tool.Description,
InputSchema: InputSchema{
Type: "object",
Properties: properties,
Required: required,
},
}
}
return anthropicTools
}
func createChatCompletionRequest(
params provider.RequestParameters,
messages []api.Message,
) (string, ChatCompletionRequest) {
requestMessages := make([]ChatCompletionMessage, 0, len(messages))
var systemMessage string
for _, m := range messages {
if m.Role == api.MessageRoleSystem {
systemMessage = m.Content
continue
}
var content interface{}
role := string(m.Role)
switch m.Role {
case api.MessageRoleToolCall:
role = "assistant"
contentBlocks := make([]map[string]interface{}, 0)
if m.Content != "" {
contentBlocks = append(contentBlocks, map[string]interface{}{
"type": "text",
"text": m.Content,
})
}
for _, toolCall := range m.ToolCalls {
contentBlocks = append(contentBlocks, map[string]interface{}{
"type": "tool_use",
"id": toolCall.ID,
"name": toolCall.Name,
"input": toolCall.Parameters,
})
}
content = contentBlocks
case api.MessageRoleToolResult:
role = "user"
contentBlocks := make([]map[string]interface{}, 0)
for _, result := range m.ToolResults {
contentBlock := map[string]interface{}{
"type": "tool_result",
"tool_use_id": result.ToolCallID,
"content": result.Result,
}
contentBlocks = append(contentBlocks, contentBlock)
}
content = contentBlocks
default:
content = m.Content
}
requestMessages = append(requestMessages, ChatCompletionMessage{
Role: role,
Content: content,
})
}
request := ChatCompletionRequest{
Model: params.Model,
Messages: requestMessages,
System: systemMessage,
MaxTokens: params.MaxTokens,
Temperature: params.Temperature,
}
if len(params.Toolbox) > 0 {
request.Tools = convertTools(params.Toolbox)
}
var prefill string
if len(messages) > 0 && messages[len(messages)-1].Role == api.MessageRoleAssistant {
// Prompting on an assitant message, use its content as prefill
prefill = messages[len(messages)-1].Content
}
return prefill, request
}
func (c *AnthropicClient) sendRequest(ctx context.Context, r ChatCompletionRequest) (*http.Response, error) {
jsonData, err := json.Marshal(r)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
req, err := http.NewRequestWithContext(ctx, "POST", c.BaseURL+"/v1/messages", bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create HTTP request: %w", err)
}
req.Header.Set("x-api-key", c.APIKey)
req.Header.Set("anthropic-version", ANTHROPIC_VERSION)
req.Header.Set("content-type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
return nil, err
}
if resp.StatusCode != 200 {
bytes, _ := io.ReadAll(resp.Body)
return resp, fmt.Errorf("%v", string(bytes))
}
return resp, err
}
func (c *AnthropicClient) CreateChatCompletion(
ctx context.Context,
params provider.RequestParameters,
messages []api.Message,
) (*api.Message, error) {
if len(messages) == 0 {
return nil, fmt.Errorf("can't create completion from no messages")
}
_, req := createChatCompletionRequest(params, messages)
req.Stream = false
resp, err := c.sendRequest(ctx, req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
var completionResp ChatCompletionResponse
err = json.NewDecoder(resp.Body).Decode(&completionResp)
if err != nil {
return nil, fmt.Errorf("failed to decode response: %w", err)
}
return convertResponseToMessage(completionResp)
}
func (c *AnthropicClient) CreateChatCompletionStream(
ctx context.Context,
params provider.RequestParameters,
messages []api.Message,
output chan<- provider.Chunk,
) (*api.Message, error) {
if len(messages) == 0 {
return nil, fmt.Errorf("can't create completion from no messages")
}
prefill, req := createChatCompletionRequest(params, messages)
req.Stream = true
resp, err := c.sendRequest(ctx, req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
contentBlocks := make(map[int]*ContentBlock)
var finalMessage *ChatCompletionResponse
var firstChunkReceived bool
reader := bufio.NewReader(resp.Body)
for {
select {
case <-ctx.Done():
return nil, ctx.Err()
default:
line, err := reader.ReadBytes('\n')
if err != nil {
if err == io.EOF {
break
}
return nil, fmt.Errorf("error reading stream: %w", err)
}
line = bytes.TrimSpace(line)
if len(line) == 0 || !bytes.HasPrefix(line, []byte("data: ")) {
continue
}
line = bytes.TrimPrefix(line, []byte("data: "))
var streamEvent StreamEvent
err = json.Unmarshal(line, &streamEvent)
if err != nil {
return nil, fmt.Errorf("failed to unmarshal stream event: %w", err)
}
switch streamEvent.Type {
case "message_start":
finalMessage = &ChatCompletionResponse{}
err = json.Unmarshal(line, &struct {
Message *ChatCompletionResponse `json:"message"`
}{Message: finalMessage})
if err != nil {
return nil, fmt.Errorf("failed to unmarshal message_start: %w", err)
}
case "content_block_start":
var contentBlockStart struct {
Index int `json:"index"`
ContentBlock ContentBlock `json:"content_block"`
}
err = json.Unmarshal(line, &contentBlockStart)
if err != nil {
return nil, fmt.Errorf("failed to unmarshal content_block_start: %w", err)
}
contentBlocks[contentBlockStart.Index] = &contentBlockStart.ContentBlock
case "content_block_delta":
if streamEvent.Index >= len(contentBlocks) {
return nil, fmt.Errorf("received delta for non-existent content block index: %d", streamEvent.Index)
}
block := contentBlocks[streamEvent.Index]
delta, ok := streamEvent.Delta.(map[string]interface{})
if !ok {
return nil, fmt.Errorf("unexpected delta type: %T", streamEvent.Delta)
}
deltaType, ok := delta["type"].(string)
if !ok {
return nil, fmt.Errorf("delta missing type field")
}
switch deltaType {
case "text_delta":
if text, ok := delta["text"].(string); ok {
if !firstChunkReceived {
if prefill == "" {
// if there is no prefil, ensure we trim leading whitespace
text = strings.TrimSpace(text)
}
firstChunkReceived = true
}
block.Text += text
output <- provider.Chunk{
Content: text,
// rough, anthropic performs some chunking
TokenCount: uint(len(strings.Split(text, " "))),
}
}
case "input_json_delta":
if block.Type != "tool_use" {
return nil, fmt.Errorf("received input_json_delta for non-tool_use block")
}
if partialJSON, ok := delta["partial_json"].(string); ok {
block.partialJsonAccumulator += partialJSON
}
}
case "content_block_stop":
if streamEvent.Index >= len(contentBlocks) {
return nil, fmt.Errorf("received stop for non-existent content block index: %d", streamEvent.Index)
}
block := contentBlocks[streamEvent.Index]
if block.Type == "tool_use" && block.partialJsonAccumulator != "" {
var inputData map[string]interface{}
err := json.Unmarshal([]byte(block.partialJsonAccumulator), &inputData)
if err != nil {
return nil, fmt.Errorf("failed to unmarshal accumulated JSON for tool use: %w", err)
}
block.Input = inputData
}
case "message_delta":
if finalMessage == nil {
return nil, fmt.Errorf("received message_delta before message_start")
}
delta, ok := streamEvent.Delta.(map[string]interface{})
if !ok {
return nil, fmt.Errorf("unexpected delta type in message_delta: %T", streamEvent.Delta)
}
if stopReason, ok := delta["stop_reason"].(string); ok {
finalMessage.StopReason = stopReason
}
case "message_stop":
// End of the stream
goto END_STREAM
case "error":
return nil, fmt.Errorf("received error event: %v", streamEvent.Message)
default:
// Ignore unknown event types
}
}
}
END_STREAM:
if finalMessage == nil {
return nil, fmt.Errorf("no final message received")
}
finalMessage.Content = make([]ContentBlock, len(contentBlocks))
for _, v := range contentBlocks {
finalMessage.Content = append(finalMessage.Content, *v)
}
return convertResponseToMessage(*finalMessage)
}
func convertResponseToMessage(resp ChatCompletionResponse) (*api.Message, error) {
content := strings.Builder{}
var toolCalls []api.ToolCall
for _, block := range resp.Content {
switch block.Type {
case "text":
content.WriteString(block.Text)
case "tool_use":
parameters, ok := block.Input.(map[string]interface{})
if !ok {
return nil, fmt.Errorf("unexpected type for tool call parameters: %T", block.Input)
}
toolCalls = append(toolCalls, api.ToolCall{
ID: block.ID,
Name: block.Name,
Parameters: parameters,
})
}
}
message := &api.Message{
Role: api.MessageRoleAssistant,
Content: content.String(),
ToolCalls: toolCalls,
}
if len(toolCalls) > 0 {
message.Role = api.MessageRoleToolCall
}
return message, nil
}

View File

@@ -1,451 +0,0 @@
package google
import (
"bufio"
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"git.mlow.ca/mlow/lmcli/pkg/api"
"git.mlow.ca/mlow/lmcli/pkg/api/provider"
)
type Client struct {
APIKey string
BaseURL string
}
type ContentPart struct {
Text string `json:"text,omitempty"`
FunctionCall *FunctionCall `json:"functionCall,omitempty"`
FunctionResp *FunctionResponse `json:"functionResponse,omitempty"`
}
type FunctionCall struct {
Name string `json:"name"`
Args map[string]string `json:"args"`
}
type FunctionResponse struct {
Name string `json:"name"`
Response interface{} `json:"response"`
}
type Content struct {
Role string `json:"role"`
Parts []ContentPart `json:"parts"`
}
type GenerationConfig struct {
MaxOutputTokens *int `json:"maxOutputTokens,omitempty"`
Temperature *float32 `json:"temperature,omitempty"`
TopP *float32 `json:"topP,omitempty"`
TopK *int `json:"topK,omitempty"`
}
type GenerateContentRequest struct {
Contents []Content `json:"contents"`
Tools []Tool `json:"tools,omitempty"`
SystemInstruction *Content `json:"systemInstruction,omitempty"`
GenerationConfig *GenerationConfig `json:"generationConfig,omitempty"`
}
type Candidate struct {
Content Content `json:"content"`
FinishReason string `json:"finishReason"`
Index int `json:"index"`
}
type UsageMetadata struct {
PromptTokenCount int `json:"promptTokenCount"`
CandidatesTokenCount int `json:"candidatesTokenCount"`
TotalTokenCount int `json:"totalTokenCount"`
}
type GenerateContentResponse struct {
Candidates []Candidate `json:"candidates"`
UsageMetadata UsageMetadata `json:"usageMetadata"`
}
type Tool struct {
FunctionDeclarations []FunctionDeclaration `json:"functionDeclarations"`
}
type FunctionDeclaration struct {
Name string `json:"name"`
Description string `json:"description"`
Parameters ToolParameters `json:"parameters"`
}
type ToolParameters struct {
Type string `json:"type"`
Properties map[string]ToolParameter `json:"properties,omitempty"`
Required []string `json:"required,omitempty"`
}
type ToolParameter struct {
Type string `json:"type"`
Description string `json:"description"`
Values []string `json:"values,omitempty"`
}
func convertTools(tools []api.ToolSpec) []Tool {
geminiTools := make([]Tool, len(tools))
for i, tool := range tools {
params := make(map[string]ToolParameter)
var required []string
for _, param := range tool.Parameters {
// TODO: proper enum handing
params[param.Name] = ToolParameter{
Type: param.Type,
Description: param.Description,
Values: param.Enum,
}
if param.Required {
required = append(required, param.Name)
}
}
geminiTools[i] = Tool{
FunctionDeclarations: []FunctionDeclaration{
{
Name: tool.Name,
Description: tool.Description,
Parameters: ToolParameters{
Type: "OBJECT",
Properties: params,
Required: required,
},
},
},
}
}
return geminiTools
}
func convertToolCallToGemini(toolCalls []api.ToolCall) []ContentPart {
converted := make([]ContentPart, len(toolCalls))
for i, call := range toolCalls {
args := make(map[string]string)
for k, v := range call.Parameters {
args[k] = fmt.Sprintf("%v", v)
}
converted[i].FunctionCall = &FunctionCall{
Name: call.Name,
Args: args,
}
}
return converted
}
func convertToolCallToAPI(functionCalls []FunctionCall) []api.ToolCall {
converted := make([]api.ToolCall, len(functionCalls))
for i, call := range functionCalls {
params := make(map[string]interface{})
for k, v := range call.Args {
params[k] = v
}
converted[i].Name = call.Name
converted[i].Parameters = params
}
return converted
}
func convertToolResultsToGemini(toolResults []api.ToolResult) ([]FunctionResponse, error) {
results := make([]FunctionResponse, len(toolResults))
for i, result := range toolResults {
var obj interface{}
err := json.Unmarshal([]byte(result.Result), &obj)
if err != nil {
return nil, fmt.Errorf("Could not unmarshal %s: %v", result.Result, err)
}
results[i] = FunctionResponse{
Name: result.ToolName,
Response: obj,
}
}
return results, nil
}
func createGenerateContentRequest(
params provider.RequestParameters,
messages []api.Message,
) (*GenerateContentRequest, error) {
requestContents := make([]Content, 0, len(messages))
startIdx := 0
var system string
if len(messages) > 0 && messages[0].Role == api.MessageRoleSystem {
system = messages[0].Content
startIdx = 1
}
for _, m := range messages[startIdx:] {
switch m.Role {
case "tool_call":
content := Content{
Role: "model",
Parts: convertToolCallToGemini(m.ToolCalls),
}
requestContents = append(requestContents, content)
case "tool_result":
results, err := convertToolResultsToGemini(m.ToolResults)
if err != nil {
return nil, err
}
// expand tool_result messages' results into multiple gemini messages
for _, result := range results {
content := Content{
Role: "function",
Parts: []ContentPart{
{
FunctionResp: &result,
},
},
}
requestContents = append(requestContents, content)
}
default:
var role string
switch m.Role {
case api.MessageRoleAssistant:
role = "model"
case api.MessageRoleUser:
role = "user"
}
if role == "" {
panic("Unhandled role: " + m.Role)
}
content := Content{
Role: role,
Parts: []ContentPart{
{
Text: m.Content,
},
},
}
requestContents = append(requestContents, content)
}
}
request := &GenerateContentRequest{
Contents: requestContents,
GenerationConfig: &GenerationConfig{
MaxOutputTokens: &params.MaxTokens,
Temperature: &params.Temperature,
TopP: &params.TopP,
},
}
if system != "" {
request.SystemInstruction = &Content{
Parts: []ContentPart{
{
Text: system,
},
},
}
}
if len(params.Toolbox) > 0 {
request.Tools = convertTools(params.Toolbox)
}
return request, nil
}
func (c *Client) sendRequest(req *http.Request) (*http.Response, error) {
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
return nil, err
}
if resp.StatusCode != 200 {
bytes, _ := io.ReadAll(resp.Body)
return resp, fmt.Errorf("%v", string(bytes))
}
return resp, err
}
func (c *Client) CreateChatCompletion(
ctx context.Context,
params provider.RequestParameters,
messages []api.Message,
) (*api.Message, error) {
if len(messages) == 0 {
return nil, fmt.Errorf("Can't create completion from no messages")
}
req, err := createGenerateContentRequest(params, messages)
if err != nil {
return nil, err
}
jsonData, err := json.Marshal(req)
if err != nil {
return nil, err
}
url := fmt.Sprintf(
"%s/v1beta/models/%s:generateContent?key=%s",
c.BaseURL, params.Model, c.APIKey,
)
httpReq, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, err
}
resp, err := c.sendRequest(httpReq)
if err != nil {
return nil, err
}
defer resp.Body.Close()
var completionResp GenerateContentResponse
err = json.NewDecoder(resp.Body).Decode(&completionResp)
if err != nil {
return nil, err
}
choice := completionResp.Candidates[0]
var content string
lastMessage := messages[len(messages)-1]
if lastMessage.Role.IsAssistant() {
content = lastMessage.Content
}
var toolCalls []FunctionCall
for _, part := range choice.Content.Parts {
if part.Text != "" {
content += part.Text
}
if part.FunctionCall != nil {
toolCalls = append(toolCalls, *part.FunctionCall)
}
}
if len(toolCalls) > 0 {
return &api.Message{
Role: api.MessageRoleToolCall,
Content: content,
ToolCalls: convertToolCallToAPI(toolCalls),
}, nil
}
return &api.Message{
Role: api.MessageRoleAssistant,
Content: content,
}, nil
}
func (c *Client) CreateChatCompletionStream(
ctx context.Context,
params provider.RequestParameters,
messages []api.Message,
output chan<- provider.Chunk,
) (*api.Message, error) {
if len(messages) == 0 {
return nil, fmt.Errorf("Can't create completion from no messages")
}
req, err := createGenerateContentRequest(params, messages)
if err != nil {
return nil, err
}
jsonData, err := json.Marshal(req)
if err != nil {
return nil, err
}
url := fmt.Sprintf(
"%s/v1beta/models/%s:streamGenerateContent?key=%s&alt=sse",
c.BaseURL, params.Model, c.APIKey,
)
httpReq, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, err
}
resp, err := c.sendRequest(httpReq)
if err != nil {
return nil, err
}
defer resp.Body.Close()
content := strings.Builder{}
lastMessage := messages[len(messages)-1]
if lastMessage.Role.IsAssistant() {
content.WriteString(lastMessage.Content)
}
var toolCalls []FunctionCall
reader := bufio.NewReader(resp.Body)
lastTokenCount := 0
for {
line, err := reader.ReadBytes('\n')
if err != nil {
if err == io.EOF {
break
}
return nil, err
}
line = bytes.TrimSpace(line)
if len(line) == 0 || !bytes.HasPrefix(line, []byte("data: ")) {
continue
}
line = bytes.TrimPrefix(line, []byte("data: "))
var resp GenerateContentResponse
err = json.Unmarshal(line, &resp)
if err != nil {
return nil, err
}
tokens := resp.UsageMetadata.CandidatesTokenCount - lastTokenCount
lastTokenCount += tokens
choice := resp.Candidates[0]
for _, part := range choice.Content.Parts {
if part.FunctionCall != nil {
toolCalls = append(toolCalls, *part.FunctionCall)
} else if part.Text != "" {
output <- provider.Chunk{
Content: part.Text,
TokenCount: uint(tokens),
}
content.WriteString(part.Text)
}
}
}
// If there are function calls, handle them and recurse
if len(toolCalls) > 0 {
return &api.Message{
Role: api.MessageRoleToolCall,
Content: content.String(),
ToolCalls: convertToolCallToAPI(toolCalls),
}, nil
}
return &api.Message{
Role: api.MessageRoleAssistant,
Content: content.String(),
}, nil
}

View File

@@ -1,189 +0,0 @@
package ollama
import (
"bufio"
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"git.mlow.ca/mlow/lmcli/pkg/api"
"git.mlow.ca/mlow/lmcli/pkg/api/provider"
)
type OllamaClient struct {
BaseURL string
}
type OllamaMessage struct {
Role string `json:"role"`
Content string `json:"content"`
}
type OllamaRequest struct {
Model string `json:"model"`
Messages []OllamaMessage `json:"messages"`
Stream bool `json:"stream"`
}
type OllamaResponse struct {
Model string `json:"model"`
CreatedAt string `json:"created_at"`
Message OllamaMessage `json:"message"`
Done bool `json:"done"`
TotalDuration uint64 `json:"total_duration,omitempty"`
LoadDuration uint64 `json:"load_duration,omitempty"`
PromptEvalCount uint64 `json:"prompt_eval_count,omitempty"`
PromptEvalDuration uint64 `json:"prompt_eval_duration,omitempty"`
EvalCount uint64 `json:"eval_count,omitempty"`
EvalDuration uint64 `json:"eval_duration,omitempty"`
}
func createOllamaRequest(
params provider.RequestParameters,
messages []api.Message,
) OllamaRequest {
requestMessages := make([]OllamaMessage, 0, len(messages))
for _, m := range messages {
message := OllamaMessage{
Role: string(m.Role),
Content: m.Content,
}
requestMessages = append(requestMessages, message)
}
request := OllamaRequest{
Model: params.Model,
Messages: requestMessages,
}
return request
}
func (c *OllamaClient) sendRequest(req *http.Request) (*http.Response, error) {
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
return nil, err
}
if resp.StatusCode != 200 {
bytes, _ := io.ReadAll(resp.Body)
return resp, fmt.Errorf("%v", string(bytes))
}
return resp, nil
}
func (c *OllamaClient) CreateChatCompletion(
ctx context.Context,
params provider.RequestParameters,
messages []api.Message,
) (*api.Message, error) {
if len(messages) == 0 {
return nil, fmt.Errorf("Can't create completion from no messages")
}
req := createOllamaRequest(params, messages)
req.Stream = false
jsonData, err := json.Marshal(req)
if err != nil {
return nil, err
}
httpReq, err := http.NewRequestWithContext(ctx, "POST", c.BaseURL+"/chat", bytes.NewBuffer(jsonData))
if err != nil {
return nil, err
}
resp, err := c.sendRequest(httpReq)
if err != nil {
return nil, err
}
defer resp.Body.Close()
var completionResp OllamaResponse
err = json.NewDecoder(resp.Body).Decode(&completionResp)
if err != nil {
return nil, err
}
return &api.Message{
Role: api.MessageRoleAssistant,
Content: completionResp.Message.Content,
}, nil
}
func (c *OllamaClient) CreateChatCompletionStream(
ctx context.Context,
params provider.RequestParameters,
messages []api.Message,
output chan<- provider.Chunk,
) (*api.Message, error) {
if len(messages) == 0 {
return nil, fmt.Errorf("Can't create completion from no messages")
}
req := createOllamaRequest(params, messages)
req.Stream = true
jsonData, err := json.Marshal(req)
if err != nil {
return nil, err
}
httpReq, err := http.NewRequestWithContext(ctx, "POST", c.BaseURL+"/chat", bytes.NewBuffer(jsonData))
if err != nil {
return nil, err
}
resp, err := c.sendRequest(httpReq)
if err != nil {
return nil, err
}
defer resp.Body.Close()
content := strings.Builder{}
reader := bufio.NewReader(resp.Body)
for {
line, err := reader.ReadBytes('\n')
if err != nil {
if err == io.EOF {
break
}
return nil, err
}
line = bytes.TrimSpace(line)
if len(line) == 0 {
continue
}
var streamResp OllamaResponse
err = json.Unmarshal(line, &streamResp)
if err != nil {
return nil, err
}
if len(streamResp.Message.Content) > 0 {
output <- provider.Chunk{
Content: streamResp.Message.Content,
TokenCount: 1,
}
content.WriteString(streamResp.Message.Content)
}
}
return &api.Message{
Role: api.MessageRoleAssistant,
Content: content.String(),
}, nil
}

View File

@@ -1,357 +0,0 @@
package openai
import (
"bufio"
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"git.mlow.ca/mlow/lmcli/pkg/api"
"git.mlow.ca/mlow/lmcli/pkg/api/provider"
)
type OpenAIClient struct {
APIKey string
BaseURL string
Headers map[string]string
}
type ChatCompletionMessage struct {
Role string `json:"role"`
Content string `json:"content,omitempty"`
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
ToolCallID string `json:"tool_call_id,omitempty"`
}
type ToolCall struct {
Type string `json:"type"`
ID string `json:"id"`
Index *int `json:"index,omitempty"`
Function FunctionDefinition `json:"function"`
}
type FunctionDefinition struct {
Name string `json:"name"`
Description string `json:"description"`
Parameters ToolParameters `json:"parameters"`
Arguments string `json:"arguments,omitempty"`
}
type ToolParameters struct {
Type string `json:"type"`
Properties map[string]ToolParameter `json:"properties,omitempty"`
Required []string `json:"required,omitempty"`
}
type ToolParameter struct {
Type string `json:"type"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
}
type Tool struct {
Type string `json:"type"`
Function FunctionDefinition `json:"function"`
}
type ChatCompletionRequest struct {
Model string `json:"model"`
MaxTokens int `json:"max_tokens,omitempty"`
Temperature float32 `json:"temperature,omitempty"`
Messages []ChatCompletionMessage `json:"messages"`
N int `json:"n"`
Tools []Tool `json:"tools,omitempty"`
ToolChoice string `json:"tool_choice,omitempty"`
Stream bool `json:"stream,omitempty"`
}
type ChatCompletionChoice struct {
Message ChatCompletionMessage `json:"message"`
}
type ChatCompletionResponse struct {
Choices []ChatCompletionChoice `json:"choices"`
}
type ChatCompletionStreamChoice struct {
Delta ChatCompletionMessage `json:"delta"`
}
type ChatCompletionStreamResponse struct {
Choices []ChatCompletionStreamChoice `json:"choices"`
}
func convertTools(tools []api.ToolSpec) []Tool {
openaiTools := make([]Tool, len(tools))
for i, tool := range tools {
openaiTools[i].Type = "function"
params := make(map[string]ToolParameter)
var required []string
for _, param := range tool.Parameters {
params[param.Name] = ToolParameter{
Type: param.Type,
Description: param.Description,
Enum: param.Enum,
}
if param.Required {
required = append(required, param.Name)
}
}
openaiTools[i].Function = FunctionDefinition{
Name: tool.Name,
Description: tool.Description,
Parameters: ToolParameters{
Type: "object",
Properties: params,
Required: required,
},
}
}
return openaiTools
}
func convertToolCallToOpenAI(toolCalls []api.ToolCall) []ToolCall {
converted := make([]ToolCall, len(toolCalls))
for i, call := range toolCalls {
converted[i].Type = "function"
converted[i].ID = call.ID
converted[i].Function.Name = call.Name
json, _ := json.Marshal(call.Parameters)
converted[i].Function.Arguments = string(json)
}
return converted
}
func convertToolCallToAPI(toolCalls []ToolCall) []api.ToolCall {
converted := make([]api.ToolCall, len(toolCalls))
for i, call := range toolCalls {
converted[i].ID = call.ID
converted[i].Name = call.Function.Name
json.Unmarshal([]byte(call.Function.Arguments), &converted[i].Parameters)
}
return converted
}
func createChatCompletionRequest(
params provider.RequestParameters,
messages []api.Message,
) ChatCompletionRequest {
requestMessages := make([]ChatCompletionMessage, 0, len(messages))
for _, m := range messages {
switch m.Role {
case "tool_call":
message := ChatCompletionMessage{}
message.Role = "assistant"
message.Content = m.Content
message.ToolCalls = convertToolCallToOpenAI(m.ToolCalls)
requestMessages = append(requestMessages, message)
case "tool_result":
// expand tool_result messages' results into multiple openAI messages
for _, result := range m.ToolResults {
message := ChatCompletionMessage{}
message.Role = "tool"
message.Content = result.Result
message.ToolCallID = result.ToolCallID
requestMessages = append(requestMessages, message)
}
default:
message := ChatCompletionMessage{}
message.Role = string(m.Role)
message.Content = m.Content
requestMessages = append(requestMessages, message)
}
}
request := ChatCompletionRequest{
Model: params.Model,
MaxTokens: params.MaxTokens,
Temperature: params.Temperature,
Messages: requestMessages,
N: 1, // limit responses to 1 "choice". we use choices[0] to reference it
}
if len(params.Toolbox) > 0 {
request.Tools = convertTools(params.Toolbox)
request.ToolChoice = "auto"
}
return request
}
func (c *OpenAIClient) sendRequest(ctx context.Context, r ChatCompletionRequest) (*http.Response, error) {
jsonData, err := json.Marshal(r)
if err != nil {
return nil, err
}
req, err := http.NewRequestWithContext(ctx, "POST", c.BaseURL+"/v1/chat/completions", bytes.NewBuffer(jsonData))
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer "+c.APIKey)
for header, val := range c.Headers {
req.Header.Set(header, val)
}
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
return nil, err
}
if resp.StatusCode != 200 {
bytes, _ := io.ReadAll(resp.Body)
return resp, fmt.Errorf("%v", string(bytes))
}
return resp, err
}
func (c *OpenAIClient) CreateChatCompletion(
ctx context.Context,
params provider.RequestParameters,
messages []api.Message,
) (*api.Message, error) {
if len(messages) == 0 {
return nil, fmt.Errorf("Can't create completion from no messages")
}
req := createChatCompletionRequest(params, messages)
resp, err := c.sendRequest(ctx, req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
var completionResp ChatCompletionResponse
err = json.NewDecoder(resp.Body).Decode(&completionResp)
if err != nil {
return nil, err
}
choice := completionResp.Choices[0]
var content string
lastMessage := messages[len(messages)-1]
if lastMessage.Role.IsAssistant() {
content = lastMessage.Content + choice.Message.Content
} else {
content = choice.Message.Content
}
toolCalls := choice.Message.ToolCalls
if len(toolCalls) > 0 {
return &api.Message{
Role: api.MessageRoleToolCall,
Content: content,
ToolCalls: convertToolCallToAPI(toolCalls),
}, nil
}
return &api.Message{
Role: api.MessageRoleAssistant,
Content: content,
}, nil
}
func (c *OpenAIClient) CreateChatCompletionStream(
ctx context.Context,
params provider.RequestParameters,
messages []api.Message,
output chan<- provider.Chunk,
) (*api.Message, error) {
if len(messages) == 0 {
return nil, fmt.Errorf("Can't create completion from no messages")
}
req := createChatCompletionRequest(params, messages)
req.Stream = true
resp, err := c.sendRequest(ctx, req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
content := strings.Builder{}
toolCalls := []ToolCall{}
lastMessage := messages[len(messages)-1]
if lastMessage.Role.IsAssistant() {
content.WriteString(lastMessage.Content)
}
reader := bufio.NewReader(resp.Body)
for {
line, err := reader.ReadBytes('\n')
if err != nil {
if err == io.EOF {
break
}
return nil, err
}
line = bytes.TrimSpace(line)
if len(line) == 0 || !bytes.HasPrefix(line, []byte("data: ")) {
continue
}
line = bytes.TrimPrefix(line, []byte("data: "))
if bytes.Equal(line, []byte("[DONE]")) {
break
}
var streamResp ChatCompletionStreamResponse
err = json.Unmarshal(line, &streamResp)
if err != nil {
return nil, err
}
delta := streamResp.Choices[0].Delta
if len(delta.ToolCalls) > 0 {
// Construct streamed tool_call arguments
for _, tc := range delta.ToolCalls {
if tc.Index == nil {
return nil, fmt.Errorf("Unexpected nil index for streamed tool call.")
}
if len(toolCalls) <= *tc.Index {
toolCalls = append(toolCalls, tc)
} else {
toolCalls[*tc.Index].Function.Arguments += tc.Function.Arguments
}
}
}
if len(delta.Content) > 0 {
output <- provider.Chunk{
Content: delta.Content,
TokenCount: 1,
}
content.WriteString(delta.Content)
}
}
if len(toolCalls) > 0 {
return &api.Message{
Role: api.MessageRoleToolCall,
Content: content.String(),
ToolCalls: convertToolCallToAPI(toolCalls),
}, nil
}
return &api.Message{
Role: api.MessageRoleAssistant,
Content: content.String(),
}, nil
}

View File

@@ -1,41 +0,0 @@
package provider
import (
"context"
"git.mlow.ca/mlow/lmcli/pkg/api"
)
type Chunk struct {
Content string
TokenCount uint
}
type RequestParameters struct {
Model string
MaxTokens int
Temperature float32
TopP float32
Toolbox []api.ToolSpec
}
type ChatCompletionProvider interface {
// CreateChatCompletion generates a chat completion response to the
// provided messages.
CreateChatCompletion(
ctx context.Context,
params RequestParameters,
messages []api.Message,
) (*api.Message, error)
// Like CreateChageCompletion, except the response is streamed via
// the output channel.
CreateChatCompletionStream(
ctx context.Context,
params RequestParameters,
messages []api.Message,
chunks chan<- Chunk,
) (*api.Message, error)
}

View File

@@ -1,98 +0,0 @@
package api
import (
"database/sql/driver"
"encoding/json"
"fmt"
)
type ToolSpec struct {
Name string
Description string
Parameters []ToolParameter
Impl func(*ToolSpec, map[string]interface{}) (string, error)
}
type ToolParameter struct {
Name string `json:"name"`
Type string `json:"type"` // "string", "integer", "boolean"
Required bool `json:"required"`
Description string `json:"description"`
Enum []string `json:"enum,omitempty"`
}
type ToolCall struct {
ID string `json:"id" yaml:"-"`
Name string `json:"name" yaml:"tool"`
Parameters map[string]interface{} `json:"parameters" yaml:"parameters"`
}
type ToolResult struct {
ToolCallID string `json:"toolCallID" yaml:"-"`
ToolName string `json:"toolName,omitempty" yaml:"tool"`
Result string `json:"result,omitempty" yaml:"result"`
}
type ToolCalls []ToolCall
func (tc *ToolCalls) Scan(value any) (err error) {
s := value.(string)
if value == nil || s == "" {
*tc = nil
return
}
err = json.Unmarshal([]byte(s), tc)
return
}
func (tc ToolCalls) Value() (driver.Value, error) {
if len(tc) == 0 {
return "", nil
}
jsonBytes, err := json.Marshal(tc)
if err != nil {
return "", fmt.Errorf("Could not marshal ToolCalls to JSON: %v\n", err)
}
return string(jsonBytes), nil
}
type ToolResults []ToolResult
func (tr *ToolResults) Scan(value any) (err error) {
s := value.(string)
if value == nil || s == "" {
*tr = nil
return
}
err = json.Unmarshal([]byte(s), tr)
return
}
func (tr ToolResults) Value() (driver.Value, error) {
if len(tr) == 0 {
return "", nil
}
jsonBytes, err := json.Marshal([]ToolResult(tr))
if err != nil {
return "", fmt.Errorf("Could not marshal ToolResults to JSON: %v\n", err)
}
return string(jsonBytes), nil
}
type CallResult struct {
Message string `json:"message"`
Result any `json:"result,omitempty"`
}
func (r CallResult) ToJson() (string, error) {
if r.Message == "" {
// When message not supplied, assume success
r.Message = "success"
}
jsonBytes, err := json.Marshal(r)
if err != nil {
return "", fmt.Errorf("Could not marshal CallResult to JSON: %v\n", err)
}
return string(jsonBytes), nil
}