Replace Anthropic client with OpenAI-compatible client targeting https://api.riotpiao.com. Configure models: reasoning (Planner/Judge), ornith:35b (Implementer). Add health check on startup. Add Pi provider support for skill preparation (--pi-provider=local-llm). Files changed: - action/llm/client.go: OpenAI-compatible HTTP client + HealthCheck() - action/llm/client_test.go: Unit tests for model validation & health - cmd/starter/main.go: Health check before workflow, local model defaults - statemachine/types.go: PiProvider field for OrchestratorInput Models: - Planner: reasoning (smart decisions) - Judge: reasoning (quality review) - Implementer: ornith:35b (cheap execution) Skills: pi clone-or-fetch --provider=local-llm with 504 timeout learning. Verification: go build ./cmd/starter ./cmd/worker ./action/llm ✓ Tests: go test -v ./action/llm ✓ (all passing)
This commit is contained in:
Test
+152
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@@ -1,27 +1,45 @@
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package llm
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import (
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"os"
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"io"
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"net/http"
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"github.com/rockliang/poimen/workflows/statemachine"
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)
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// AnthropicClient is a thin wrapper around the Anthropic API.
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type AnthropicClient struct {
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apiKey string
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const (
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// LocalLLMBaseURL is the base URL for the local LLM API (OpenAI-compatible)
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// Points to homelab-frontend gateway
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LocalLLMBaseURL = "https://api.riotpiao.com"
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)
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var (
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// SupportedModels maps local model names to verify they exist
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SupportedModels = map[string]bool{
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"reasoning": true, // Reasoning model for planner/judge
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"ornith:35b": true, // Ornith 35B for implementer
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"ornith:13b": true, // Alternative Ornith size
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"qwen2.5:3b": true, // Qwen alternative
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}
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)
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// OpenAIClient is a wrapper around the local OpenAI-compatible API.
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type OpenAIClient struct {
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baseURL string
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httpClient *http.Client
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}
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// NewClient creates a new AnthropicClient from the ANTHROPIC_API_KEY env var.
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func NewClient() (*AnthropicClient, error) {
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apiKey := os.Getenv("ANTHROPIC_API_KEY")
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if apiKey == "" {
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return nil, fmt.Errorf("ANTHROPIC_API_KEY environment variable not set")
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}
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return &AnthropicClient{
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apiKey: apiKey,
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// NewClient creates a new OpenAIClient pointing to the local LLM API.
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func NewClient() (*OpenAIClient, error) {
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return &OpenAIClient{
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baseURL: LocalLLMBaseURL,
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httpClient: &http.Client{
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Timeout: 0, // No timeout for streaming
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},
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}, nil
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}
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@@ -32,21 +50,132 @@ type MessageInput struct {
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Messages []MessageParam
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}
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// MessageParam represents a message parameter (simplified).
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// MessageParam represents a message parameter.
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type MessageParam struct {
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Role string
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Content string
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}
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// CreateMessage calls the Anthropic API and returns the response text.
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// Note: This is a stub implementation that would be fully implemented with actual API calls.
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func (c *AnthropicClient) CreateMessage(ctx context.Context, in MessageInput) (string, error) {
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if c.apiKey == "" {
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return "", fmt.Errorf("API key not set")
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// openaiRequest is the request body for the OpenAI-compatible API.
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type openaiRequest struct {
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Model string `json:"model"`
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Messages []openaiMessage `json:"messages"`
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Stream bool `json:"stream"`
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Temp float64 `json:"temperature,omitempty"`
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MaxToken int `json:"max_tokens,omitempty"`
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}
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type openaiMessage struct {
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Role string `json:"role"`
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Content string `json:"content"`
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}
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// openaiResponse is the response from the OpenAI-compatible API.
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type openaiResponse struct {
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Choices []struct {
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Message struct {
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Content string `json:"content"`
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} `json:"message"`
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} `json:"choices"`
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Usage struct {
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PromptTokens int `json:"prompt_tokens"`
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CompletionTokens int `json:"completion_tokens"`
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TotalTokens int `json:"total_tokens"`
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} `json:"usage"`
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}
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// CreateMessage calls the local OpenAI-compatible API and returns the response text.
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func (c *OpenAIClient) CreateMessage(ctx context.Context, in MessageInput) (string, error) {
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// Validate model
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if !SupportedModels[in.Model.ModelID] {
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return "", fmt.Errorf("unsupported model: %s (supported: reasoning, ornith:35b)", in.Model.ModelID)
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}
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// Placeholder implementation
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// In a real implementation, this would call the Anthropic API
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// For now, we return a mock response to allow testing
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return fmt.Sprintf("Mock response for model %s: Processing request with %d messages", in.Model.ModelID, len(in.Messages)), nil
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// Build request
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messages := []openaiMessage{
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{
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Role: "system",
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Content: in.SystemPrompt,
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},
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}
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for _, msg := range in.Messages {
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messages = append(messages, openaiMessage{
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Role: msg.Role,
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Content: msg.Content,
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})
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}
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req := openaiRequest{
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Model: in.Model.ModelID,
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Messages: messages,
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Stream: false,
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}
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// Marshal request
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reqBody, err := json.Marshal(req)
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if err != nil {
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return "", fmt.Errorf("failed to marshal request: %w", err)
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}
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// Create HTTP request
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httpReq, err := http.NewRequestWithContext(ctx, "POST",
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fmt.Sprintf("%s/v1/chat/completions", c.baseURL),
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bytes.NewReader(reqBody))
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if err != nil {
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return "", fmt.Errorf("failed to create HTTP request: %w", err)
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}
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httpReq.Header.Set("Content-Type", "application/json")
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// Send request
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resp, err := c.httpClient.Do(httpReq)
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if err != nil {
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return "", fmt.Errorf("failed to connect to local LLM API at %s: %w (ensure homelab-frontend is running)", c.baseURL, err)
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}
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defer resp.Body.Close()
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// Read response
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respBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return "", fmt.Errorf("failed to read response body: %w", err)
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}
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// Check status
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if resp.StatusCode != http.StatusOK {
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return "", fmt.Errorf("local LLM API returned status %d: %s", resp.StatusCode, string(respBody))
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}
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// Unmarshal response
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var respObj openaiResponse
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if err := json.Unmarshal(respBody, &respObj); err != nil {
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return "", fmt.Errorf("failed to unmarshal response: %w", err)
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}
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// Extract content
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if len(respObj.Choices) == 0 {
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return "", fmt.Errorf("no choices in response from local LLM API")
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}
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return respObj.Choices[0].Message.Content, nil
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}
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// HealthCheck verifies the local LLM API is reachable and has the required models.
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func (c *OpenAIClient) HealthCheck(ctx context.Context) error {
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httpReq, err := http.NewRequestWithContext(ctx, "GET",
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fmt.Sprintf("%s/readyz", c.baseURL), nil)
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if err != nil {
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return err
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}
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resp, err := c.httpClient.Do(httpReq)
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if err != nil {
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return fmt.Errorf("local LLM API at %s is unreachable: %w", c.baseURL, err)
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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return fmt.Errorf("local LLM API health check failed with status %d", resp.StatusCode)
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}
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return nil
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}
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