dimitar
aee63bf321
Add the AI layer that turns scan results into suggested next actions. Provider model (internal/ai): - Provider interface with Name() and Suggest(ctx, ScanResult) returning []Suggestion (repo_path, action, message, command, priority 0-2) - NewProvider factory resolves the configured provider and enforces that cloud providers have their API key in the configured env var; Ollama needs no key - OpenAIProvider: Chat Completions with response_format json_object - OllamaProvider: local /api/chat with format:json for structured output - AnthropicProvider: Messages API with system prompt and key/version headers; all three fall back to provider-appropriate defaults for base_url and model - Shared client: 60s timeout, 4 MiB response cap, JSON encode/decode, HTTP error surfaces the upstream status and body Prompt design (BuildPrompt): - Renders the full repository status table (name/status/branch/ahead/ behind/changes) plus strict output rules: exact suggestion schema, allowed actions, smallest-safe-step guidance, no invented repositories, return [] when healthy Parsing (parseSuggestions): - Tolerates ```json fences and surrounding prose, clamps priorities to 0-2, caps the result, and rejects replies without a JSON array Suggestion display (presenter.Suggestions): - "AI SUGGESTIONS" table (repository/action/priority/message/command) rendered below the scan table with priority color-coded (red/yellow/ green); empty results say all repositories are healthy Guarded execution (--ai-execute, experimental): - RunConfirmed executes a suggestion's command inside its repository only after explicit per-command y/N confirmation, and only for actions on an allowlist (commit/push/pull/stash/checkout) so LLM output can never run arbitrary shell commands; cancellation aborts remaining suggestions CLI wiring: - scan: AI block after the table when --ai is set and format is not json (JSON streams stay machine-readable); failures degrade to warnings - watch: AI is queried only on the first frame and when something changed since the previous frame, to avoid hammering the provider every interval - New --ai-execute flag and provider validation in config (openai/ollama/ anthropic), included in the config dump Testing: - httptest-based provider tests verifying request shape (model, auth headers, path), response parsing, API error bodies, HTTP failures, and cancellation - Parse tests: plain/fenced/prose replies, empty arrays, garbage, truncated JSON, priority clamping - Execution tests: unsafe actions and empty commands never run, declined confirmations are skipped, confirmed commands execute in the repo dir, failing commands surface errors - Presenter suggestion table and empty-state tests Verified: go build, go vet, go test -race, gofmt clean; end-to-end smoke test against a local fake Ollama server (request shape confirmed, table + suggestions rendered) and the missing-API-key warning path.
83 lines
2.2 KiB
Go
83 lines
2.2 KiB
Go
package ai
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import (
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"context"
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"fmt"
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"gitea.oblak.solutions/dimitar/gitFlow/internal/config"
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"gitea.oblak.solutions/dimitar/gitFlow/pkg/status"
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)
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const (
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defaultAnthropicBaseURL = "https://api.anthropic.com/v1"
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anthropicVersion = "2023-06-01"
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)
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// AnthropicProvider talks to the Anthropic Messages API.
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type AnthropicProvider struct {
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model string
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baseURL string
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apiKey string
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client *client
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}
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// NewAnthropic builds an Anthropic provider. base_url and model fall back
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// to sensible defaults when unset in the configuration.
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func NewAnthropic(cfg config.AIConfig, apiKey string) *AnthropicProvider {
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baseURL := cfg.BaseURL
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if baseURL == "" {
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baseURL = defaultAnthropicBaseURL
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}
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model := cfg.Model
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if model == "" {
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model = "claude-3-5-haiku-latest"
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}
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return &AnthropicProvider{model: model, baseURL: baseURL, apiKey: apiKey, client: newClient()}
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}
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// Name implements Provider.
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func (p *AnthropicProvider) Name() string { return "anthropic" }
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type anthropicRequest struct {
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Model string `json:"model"`
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MaxTokens int `json:"max_tokens"`
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System string `json:"system"`
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Messages []chatMessage `json:"messages"`
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}
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type anthropicResponse struct {
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Content []struct {
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Type string `json:"type"`
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Text string `json:"text"`
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} `json:"content"`
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Error *struct {
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Message string `json:"message"`
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} `json:"error"`
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}
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// Suggest implements Provider.
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func (p *AnthropicProvider) Suggest(ctx context.Context, result status.ScanResult) ([]Suggestion, error) {
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req := anthropicRequest{
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Model: p.model,
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MaxTokens: 1024,
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System: "You are gitflow, a concise Git repository health assistant. You reply with JSON only.",
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Messages: []chatMessage{{Role: "user", Content: BuildPrompt(result)}},
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}
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var resp anthropicResponse
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err := p.client.postJSON(ctx, p.baseURL+"/messages",
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map[string]string{"x-api-key": p.apiKey, "anthropic-version": anthropicVersion}, req, &resp)
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if err != nil {
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return nil, err
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}
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if resp.Error != nil {
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return nil, fmt.Errorf("ai: anthropic: %s", resp.Error.Message)
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}
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for _, c := range resp.Content {
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if c.Type == "text" && c.Text != "" {
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return parseSuggestions(c.Text)
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}
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}
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return nil, fmt.Errorf("ai: anthropic: empty response")
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}
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