refactor: restructure project layout — main.go to root, llm+config to pkg/

- Move cmd/agentu/main.go → main.go (project root)
- Move internal/llm/ → pkg/llm/ (leaf package, no internal deps)
- Move internal/config/ → pkg/config/ (leaf package, no internal deps)
- Update all import paths: agentu/internal/llm → agentu/pkg/llm (14 files)
- Update all import paths: agentu/internal/config → agentu/pkg/config (3 files)
- Update README: build/run commands, CLI flags section
- agent/session/tools/tui stay in internal/ (app-specific business logic)

Build: go build . | Test: go test ./... | Vet: go vet ./...
This commit is contained in:
loveuer
2026-06-24 07:06:26 -07:00
parent 950c63adaa
commit f235b8ce90
22 changed files with 21 additions and 21 deletions
+202
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package llm
import (
"bufio"
"bytes"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"strings"
"time"
)
const maxChatAttempts = 3
const retryDelay = 100 * time.Millisecond
type OpenAICompatibleClient struct {
baseURL string
apiKey string
httpClient *http.Client
}
func NewOpenAICompatibleClient(baseURL, apiKey string, httpClient *http.Client) *OpenAICompatibleClient {
if httpClient == nil {
httpClient = http.DefaultClient
}
return &OpenAICompatibleClient{
baseURL: strings.TrimRight(baseURL, "/"),
apiKey: apiKey,
httpClient: httpClient,
}
}
func (c *OpenAICompatibleClient) ChatStream(ctx context.Context, req ChatRequest, emit func(StreamEvent) error) error {
req.Stream = true
extra := make(map[string]any, len(req.Extra)+1)
for key, value := range req.Extra {
extra[key] = value
}
if _, exists := extra["stream_options"]; !exists {
extra["stream_options"] = map[string]any{"include_usage": true}
}
req.Extra = extra
body, err := json.Marshal(req)
if err != nil {
return fmt.Errorf("marshal chat request: %w", err)
}
var lastErr error
for attempt := 1; attempt <= maxChatAttempts; attempt++ {
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, c.baseURL+"/v1/chat/completions", bytes.NewReader(body))
if err != nil {
return fmt.Errorf("create chat request: %w", err)
}
httpReq.Header.Set("Content-Type", "application/json")
httpReq.Header.Set("Accept", "text/event-stream")
if c.apiKey != "" {
httpReq.Header.Set("Authorization", "Bearer "+c.apiKey)
}
resp, err := c.httpClient.Do(httpReq)
if err != nil {
lastErr = fmt.Errorf("send chat request: %w", err)
if !shouldRetryRequest(ctx, attempt, 0) {
return lastErr
}
if waitErr := waitBeforeRetry(ctx); waitErr != nil {
return waitErr
}
continue
}
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
limit := io.LimitReader(resp.Body, 4096)
data, _ := io.ReadAll(limit)
_ = resp.Body.Close()
lastErr = fmt.Errorf("chat request failed: status=%d body=%s", resp.StatusCode, strings.TrimSpace(string(data)))
if !shouldRetryRequest(ctx, attempt, resp.StatusCode) {
return lastErr
}
if waitErr := waitBeforeRetry(ctx); waitErr != nil {
return waitErr
}
continue
}
defer resp.Body.Close()
return readSSE(resp.Body, emit)
}
return lastErr
}
func shouldRetryRequest(ctx context.Context, attempt int, status int) bool {
if ctx.Err() != nil || attempt >= maxChatAttempts {
return false
}
if status == 0 {
return true
}
return status == http.StatusRequestTimeout || status == http.StatusTooManyRequests || status >= 500
}
func waitBeforeRetry(ctx context.Context) error {
timer := time.NewTimer(retryDelay)
defer timer.Stop()
select {
case <-ctx.Done():
return ctx.Err()
case <-timer.C:
return nil
}
}
func readSSE(r io.Reader, emit func(StreamEvent) error) error {
reader := bufio.NewReader(r)
for {
line, err := reader.ReadString('\n')
if err != nil && !errors.Is(err, io.EOF) {
return fmt.Errorf("read stream: %w", err)
}
line = strings.TrimSpace(line)
if strings.HasPrefix(line, "data:") {
payload := strings.TrimSpace(strings.TrimPrefix(line, "data:"))
if payload == "[DONE]" {
return nil
}
event, parseErr := parseStreamPayload(payload)
if parseErr != nil {
return parseErr
}
if event.Content != "" || len(event.ToolCalls) > 0 || event.FinishReason != "" || event.Usage != nil {
if emitErr := emit(event); emitErr != nil {
return emitErr
}
}
}
if errors.Is(err, io.EOF) {
return nil
}
}
}
type streamPayload struct {
Choices []struct {
Delta struct {
Content string `json:"content"`
ToolCalls []toolCallDeltaJSON `json:"tool_calls"`
} `json:"delta"`
FinishReason string `json:"finish_reason"`
} `json:"choices"`
Usage *Usage `json:"usage,omitempty"`
Error *struct {
Message string `json:"message"`
Type string `json:"type"`
} `json:"error,omitempty"`
}
type toolCallDeltaJSON struct {
Index int `json:"index"`
ID string `json:"id"`
Type string `json:"type"`
Function struct {
Name string `json:"name"`
Arguments string `json:"arguments"`
} `json:"function"`
}
func parseStreamPayload(payload string) (StreamEvent, error) {
var decoded streamPayload
if err := json.Unmarshal([]byte(payload), &decoded); err != nil {
return StreamEvent{}, fmt.Errorf("parse stream payload: %w", err)
}
if decoded.Error != nil {
if decoded.Error.Type != "" {
return StreamEvent{}, fmt.Errorf("provider error: %s: %s", decoded.Error.Type, decoded.Error.Message)
}
return StreamEvent{}, fmt.Errorf("provider error: %s", decoded.Error.Message)
}
event := StreamEvent{Usage: decoded.Usage}
if len(decoded.Choices) == 0 {
return event, nil
}
choice := decoded.Choices[0]
event.Content = choice.Delta.Content
event.FinishReason = choice.FinishReason
for _, tc := range choice.Delta.ToolCalls {
event.ToolCalls = append(event.ToolCalls, ToolCallDelta{
Index: tc.Index,
ID: tc.ID,
Type: tc.Type,
Name: tc.Function.Name,
Arguments: tc.Function.Arguments,
})
}
return event, nil
}
+164
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package llm
import (
"context"
"encoding/json"
"io"
"net/http"
"net/http/httptest"
"strings"
"testing"
)
func TestOpenAICompatibleClientStreamsContentAndToolCalls(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/v1/chat/completions" {
t.Fatalf("path = %s", r.URL.Path)
}
if got := r.Header.Get("Authorization"); got != "Bearer sk-test" {
t.Fatalf("authorization = %q", got)
}
body := mustReadBody(t, r)
var raw map[string]any
if err := json.NewDecoder(strings.NewReader(body)).Decode(&raw); err != nil {
t.Fatal(err)
}
var req ChatRequest
if err := json.NewDecoder(strings.NewReader(body)).Decode(&req); err != nil {
t.Fatal(err)
}
if raw["thinking"] != "high" {
t.Fatalf("thinking = %#v", raw["thinking"])
}
streamOptions, ok := raw["stream_options"].(map[string]any)
if !ok || streamOptions["include_usage"] != true {
t.Fatalf("stream_options = %#v", raw["stream_options"])
}
if !req.Stream {
t.Fatal("request did not enable stream")
}
if req.ToolChoice != "auto" && len(req.Tools) > 0 {
t.Fatalf("tool_choice = %q", req.ToolChoice)
}
w.Header().Set("Content-Type", "text/event-stream")
_, _ = w.Write([]byte(`data: {"choices":[{"delta":{"content":"hi "},"finish_reason":""}]}` + "\n\n"))
_, _ = w.Write([]byte(`data: {"choices":[{"delta":{"tool_calls":[{"index":0,"id":"call_1","type":"function","function":{"name":"file_read","arguments":"{\"path\""}}]},"finish_reason":""}]}` + "\n\n"))
_, _ = w.Write([]byte(`data: {"choices":[{"delta":{"tool_calls":[{"index":0,"function":{"arguments":":\"README.md\"}"}}]},"finish_reason":"tool_calls"}]}` + "\n\n"))
_, _ = w.Write([]byte("data: [DONE]\n\n"))
}))
defer server.Close()
client := NewOpenAICompatibleClient(server.URL, "sk-test", server.Client())
var content strings.Builder
var calls []ToolCallDelta
err := client.ChatStream(context.Background(), ChatRequest{Model: "test", Extra: map[string]any{"thinking": "high"}}, func(event StreamEvent) error {
content.WriteString(event.Content)
calls = append(calls, event.ToolCalls...)
return nil
})
if err != nil {
t.Fatal(err)
}
if content.String() != "hi " {
t.Fatalf("content = %q", content.String())
}
if len(calls) != 2 {
t.Fatalf("calls = %#v", calls)
}
if calls[0].Name != "file_read" || calls[1].Arguments != ":\"README.md\"}" {
t.Fatalf("unexpected calls: %#v", calls)
}
}
func TestChatStreamCapturesUsage(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
body := mustReadBody(t, r)
var raw map[string]any
if err := json.NewDecoder(strings.NewReader(body)).Decode(&raw); err != nil {
t.Fatal(err)
}
streamOptions, ok := raw["stream_options"].(map[string]any)
if !ok || streamOptions["include_usage"] != true {
t.Fatalf("stream_options = %#v", raw["stream_options"])
}
w.Header().Set("Content-Type", "text/event-stream")
_, _ = w.Write([]byte(`data: {"choices":[{"delta":{"content":"ok"},"finish_reason":""}]}` + "\n\n"))
_, _ = w.Write([]byte(`data: {"choices":[],"usage":{"prompt_tokens":12,"completion_tokens":3,"total_tokens":15}}` + "\n\n"))
_, _ = w.Write([]byte("data: [DONE]\n\n"))
}))
defer server.Close()
client := NewOpenAICompatibleClient(server.URL, "sk-test", server.Client())
var usage *Usage
err := client.ChatStream(context.Background(), ChatRequest{Model: "test"}, func(event StreamEvent) error {
if event.Usage != nil {
usage = event.Usage
}
return nil
})
if err != nil {
t.Fatal(err)
}
if usage == nil {
t.Fatal("usage was not emitted")
}
if usage.PromptTokens != 12 || usage.CompletionTokens != 3 || usage.TotalTokens != 15 {
t.Fatalf("usage = %#v", usage)
}
}
func TestOpenAICompatibleClientRetriesTransientHTTPError(t *testing.T) {
attempts := 0
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
attempts++
if attempts == 1 {
http.Error(w, "temporary", http.StatusBadGateway)
return
}
w.Header().Set("Content-Type", "text/event-stream")
_, _ = w.Write([]byte(`data: {"choices":[{"delta":{"content":"ok"},"finish_reason":""}]}` + "\n\n"))
_, _ = w.Write([]byte("data: [DONE]\n\n"))
}))
defer server.Close()
client := NewOpenAICompatibleClient(server.URL, "sk-test", server.Client())
var content strings.Builder
err := client.ChatStream(context.Background(), ChatRequest{Model: "test"}, func(event StreamEvent) error {
content.WriteString(event.Content)
return nil
})
if err != nil {
t.Fatal(err)
}
if attempts != 2 {
t.Fatalf("attempts = %d, want 2", attempts)
}
if content.String() != "ok" {
t.Fatalf("content = %q", content.String())
}
}
func mustReadBody(t *testing.T, r *http.Request) string {
t.Helper()
data, err := io.ReadAll(r.Body)
if err != nil {
t.Fatal(err)
}
return string(data)
}
func TestOpenAICompatibleClientHTTPError(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
http.Error(w, "bad key", http.StatusUnauthorized)
}))
defer server.Close()
client := NewOpenAICompatibleClient(server.URL, "sk-test", server.Client())
err := client.ChatStream(context.Background(), ChatRequest{Model: "test"}, func(StreamEvent) error {
return nil
})
if err == nil || !strings.Contains(err.Error(), "status=401") {
t.Fatalf("err = %v", err)
}
}
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package llm
import "encoding/json"
const tokenEstimateCharRatio = 4
// EstimateTokens estimates the token cost of messages and tool definitions in a
// chat completion request. It intentionally uses a simple JSON-size heuristic:
// roughly four UTF-8 bytes per token plus a small per-message framing overhead.
func EstimateTokens(messages []Message, tools []Tool) int {
if len(messages) == 0 && len(tools) == 0 {
return 0
}
payload := struct {
Messages []Message `json:"messages,omitempty"`
Tools []Tool `json:"tools,omitempty"`
}{
Messages: messages,
Tools: tools,
}
data, err := json.Marshal(payload)
if err != nil {
return 0
}
return estimateBytesAsTokens(len(data)) + len(messages)*4
}
func estimateMessageTokens(msg Message) int {
data, err := json.Marshal(msg)
if err != nil {
return 0
}
return estimateBytesAsTokens(len(data)) + 4
}
func estimateBytesAsTokens(n int) int {
if n <= 0 {
return 0
}
return (n + tokenEstimateCharRatio - 1) / tokenEstimateCharRatio
}
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package llm
import "testing"
func TestEstimateTokensEmpty(t *testing.T) {
if got := EstimateTokens(nil, nil); got != 0 {
t.Fatalf("EstimateTokens(nil, nil) = %d, want 0", got)
}
}
func TestEstimateTokens(t *testing.T) {
shortMessages := []Message{{Role: RoleUser, Content: "hello"}}
short := EstimateTokens(shortMessages, nil)
if short <= 4 {
t.Fatalf("short estimate = %d, want message framing plus content", short)
}
if short > 50 {
t.Fatalf("short estimate = %d, looks too high for one short message", short)
}
longMessages := []Message{
{Role: RoleUser, Content: "hello"},
{Role: RoleAssistant, Content: "This is a longer response with enough content to exceed the short estimate."},
}
long := EstimateTokens(longMessages, nil)
if long <= short {
t.Fatalf("long estimate = %d, want > short estimate %d", long, short)
}
withTools := EstimateTokens(shortMessages, []Tool{{
Type: "function",
Function: ToolFunction{
Name: "file_read",
Description: "Read a file",
Parameters: []byte(`{"type":"object"}`),
},
}})
if withTools <= short {
t.Fatalf("withTools estimate = %d, want > short estimate %d", withTools, short)
}
if msgTokens := estimateMessageTokens(shortMessages[0]); msgTokens <= 4 {
t.Fatalf("estimateMessageTokens = %d, want message framing plus content", msgTokens)
}
}
+97
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package llm
import (
"context"
"encoding/json"
)
const (
RoleSystem = "system"
RoleUser = "user"
RoleAssistant = "assistant"
RoleTool = "tool"
)
type Provider interface {
ChatStream(ctx context.Context, req ChatRequest, emit func(StreamEvent) error) error
}
type ChatRequest struct {
Model string `json:"model"`
Messages []Message `json:"messages"`
Tools []Tool `json:"tools,omitempty"`
ToolChoice string `json:"tool_choice,omitempty"`
Stream bool `json:"stream"`
Extra map[string]any `json:"-"`
}
func (r ChatRequest) MarshalJSON() ([]byte, error) {
payload := map[string]any{
"model": r.Model,
"messages": r.Messages,
"stream": r.Stream,
}
if len(r.Tools) > 0 {
payload["tools"] = r.Tools
}
if r.ToolChoice != "" {
payload["tool_choice"] = r.ToolChoice
}
for key, value := range r.Extra {
if _, exists := payload[key]; exists {
continue
}
payload[key] = value
}
return json.Marshal(payload)
}
type Message 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 {
ID string `json:"id,omitempty"`
Type string `json:"type,omitempty"`
Function FunctionCall `json:"function,omitempty"`
}
type FunctionCall struct {
Name string `json:"name,omitempty"`
Arguments string `json:"arguments,omitempty"`
}
type Tool struct {
Type string `json:"type"`
Function ToolFunction `json:"function"`
}
type ToolFunction struct {
Name string `json:"name"`
Description string `json:"description"`
Parameters json.RawMessage `json:"parameters"`
}
type StreamEvent struct {
Content string
ToolCalls []ToolCallDelta
FinishReason string
Usage *Usage
}
type Usage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
}
type ToolCallDelta struct {
Index int
ID string
Type string
Name string
Arguments string
}