mirror of
https://github.com/prosolis/gogobee.git
synced 2026-09-14 10:51:09 +00:00
llm: route every LLM caller through a shared backend client
Replaces the per-plugin Ollama HTTP calls with internal/llm, which picks a backend from the environment (vLLM or Ollama) behind one Chat interface, plus internal/plugin/llm_client.go as the plugin-facing wrapper. Startup now logs llm_backend/llm_endpoint/llm_model instead of the two OLLAMA_* vars, which no longer describe where inference actually goes. These files were already running in prod from the vLLM migration but had never been committed; this is that live state, byte-for-byte.
This commit is contained in:
@@ -0,0 +1,161 @@
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// Package llm wraps the local inference endpoint behind a backend-agnostic
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// interface. Two concrete backends — Ollama (native /api/generate) and vLLM
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// (OpenAI-compatible /v1/chat/completions) — implement Client; plugin code
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// calls the interface only and never knows which one is active.
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//
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// Deliberately not routed through internal/safehttp: that client blocks
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// RFC1918 and loopback destinations to defend against SSRF from feed-supplied
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// URLs, and the inference endpoint is precisely such a destination. The URL
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// here comes from our own config, never from user input.
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package llm
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import (
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"context"
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"os"
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"strings"
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"time"
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)
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// Request is the backend-neutral generation request. Zero-valued fields fall
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// back to backend defaults.
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type Request struct {
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// Prompt is a single raw instruction. The vLLM backend wraps it as one
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// user message so the model's chat template still applies; sending it to
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// /v1/completions instead would bypass the template and degrade an
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// instruction-tuned model badly.
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Prompt string
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// System is an optional system message. Empty means none, which keeps the
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// single-message shape the majority of callers use.
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System string
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// NumCtx is the per-request context window. Ollama honours it directly;
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// vLLM fixes the window server-side at launch (--max-model-len), so this
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// is ignored there rather than silently misapplied.
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NumCtx int
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// MaxTokens caps the completion length. 0 means the backend default.
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MaxTokens int
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// Temperature is passed through when non-zero.
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Temperature float64
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// Timeout overrides the client's default per-request budget.
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Timeout time.Duration
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}
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// Client is the single surface plugin code depends on.
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type Client interface {
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// Generate returns the full completion in one shot. Reasoning blocks are
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// stripped before returning (see StripThink) — every caller in this repo
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// wants the visible answer, not the chain of thought.
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Generate(ctx context.Context, req Request) (string, error)
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// Model reports the configured model id, for logging and /botinfo.
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Model() string
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// Ping reports the model ids the backend is currently serving. Used by
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// /botinfo for a liveness line; the two backends expose this on different
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// paths (/api/tags vs /v1/models), which is exactly the sort of difference
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// this interface exists to hide.
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Ping(ctx context.Context) ([]string, error)
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// Backend reports "ollama" or "vllm", for logging and /botinfo.
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Backend() string
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}
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// Config selects and configures a backend.
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type Config struct {
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Backend string // "ollama" | "vllm"
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Endpoint string
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Model string
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Timeout time.Duration
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}
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// DefaultTimeout matches the budget the pre-refactor callOllama used.
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const DefaultTimeout = 120 * time.Second
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// ConfigFromEnv reads backend settings, preferring the new LLM_* names and
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// falling back to the legacy OLLAMA_* pair so an existing deployment keeps
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// working untouched after this refactor.
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func ConfigFromEnv() Config {
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backend := strings.ToLower(strings.TrimSpace(os.Getenv("LLM_BACKEND")))
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if backend == "" {
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backend = "ollama"
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}
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endpoint := firstNonEmpty(os.Getenv("LLM_ENDPOINT"), os.Getenv("OLLAMA_HOST"))
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model := firstNonEmpty(os.Getenv("LLM_MODEL"), os.Getenv("OLLAMA_MODEL"))
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timeout := DefaultTimeout
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if d, err := time.ParseDuration(os.Getenv("LLM_TIMEOUT")); err == nil && d > 0 {
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timeout = d
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}
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return Config{Backend: backend, Endpoint: endpoint, Model: model, Timeout: timeout}
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}
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// Configured reports whether enough config is present to talk to a backend.
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// Plugins check this to stay dormant rather than erroring on every invocation,
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// which is what the old `if ollamaHost == "" || ollamaModel == ""` guards did.
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func (c Config) Configured() bool {
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return c.Endpoint != "" && c.Model != ""
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}
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// New builds the client for cfg.Backend. An unrecognised backend falls back to
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// Ollama, which is what every existing deployment runs.
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func New(cfg Config) Client {
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if cfg.Timeout <= 0 {
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cfg.Timeout = DefaultTimeout
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}
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base := backend{
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endpoint: strings.TrimRight(cfg.Endpoint, "/"),
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model: cfg.Model,
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timeout: cfg.Timeout,
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}
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switch cfg.Backend {
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case "vllm":
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return &VLLMClient{base}
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default:
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return &OllamaClient{base}
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}
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}
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// backend holds the fields shared by both concrete clients.
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type backend struct {
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endpoint string
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model string
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timeout time.Duration
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}
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func (b backend) Model() string { return b.model }
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// timeoutFor lets a single call widen or narrow the client default. The two
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// dispatch-voice callers rely on this: a dispatch is authored on a game
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// chokepoint and must not stall it, while a run summary rides a background
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// ticker and can afford a bigger model.
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func (b backend) timeoutFor(req Request) time.Duration {
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if req.Timeout > 0 {
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return req.Timeout
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}
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return b.timeout
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}
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// StripThink removes a leading <think>...</think> reasoning block, which Qwen
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// models emit even when thinking is disabled by some backends. Callers that
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// parse JSON out of the completion depend on this running first.
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func StripThink(s string) string {
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for {
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i := strings.Index(s, "<think>")
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if i < 0 {
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break
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}
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j := strings.Index(s, "</think>")
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if j < 0 || j < i {
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break
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}
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s = s[:i] + s[j+len("</think>"):]
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}
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return strings.TrimSpace(s)
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}
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func firstNonEmpty(vals ...string) string {
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for _, v := range vals {
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if v = strings.TrimSpace(v); v != "" {
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return v
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}
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}
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return ""
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}
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@@ -0,0 +1,103 @@
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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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"io"
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"net/http"
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)
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// OllamaClient talks to Ollama's native /api/generate endpoint.
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type OllamaClient struct {
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backend
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}
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func (c *OllamaClient) Backend() string { return "ollama" }
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type ollamaOptions struct {
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NumCtx int `json:"num_ctx,omitempty"`
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NumPredict int `json:"num_predict,omitempty"`
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Temperature float64 `json:"temperature,omitempty"`
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}
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type ollamaRequest struct {
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Model string `json:"model"`
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Prompt string `json:"prompt"`
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System string `json:"system,omitempty"`
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Stream bool `json:"stream"`
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Think bool `json:"think"`
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Options ollamaOptions `json:"options,omitempty"`
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}
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// Generate posts a single non-streaming generation and returns the completion.
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func (c *OllamaClient) Generate(ctx context.Context, req Request) (string, error) {
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ctx, cancel := context.WithTimeout(ctx, c.timeoutFor(req))
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defer cancel()
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body, err := json.Marshal(ollamaRequest{
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Model: c.model,
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Prompt: req.Prompt,
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System: req.System,
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Stream: false,
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Think: false,
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Options: ollamaOptions{
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NumCtx: req.NumCtx,
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NumPredict: req.MaxTokens,
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Temperature: req.Temperature,
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},
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})
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if err != nil {
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return "", fmt.Errorf("ollama: marshal payload: %w", err)
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}
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost,
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c.endpoint+"/api/generate", bytes.NewReader(body))
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if err != nil {
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return "", fmt.Errorf("ollama: build request: %w", err)
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}
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httpReq.Header.Set("Content-Type", "application/json")
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resp, err := http.DefaultClient.Do(httpReq)
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if err != nil {
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return "", fmt.Errorf("ollama request: %w", err)
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}
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defer resp.Body.Close()
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respBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return "", fmt.Errorf("ollama: read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return "", fmt.Errorf("ollama HTTP %d: %s", resp.StatusCode, string(respBody))
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}
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var result struct {
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Response string `json:"response"`
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}
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if err := json.Unmarshal(respBody, &result); err != nil {
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return "", fmt.Errorf("ollama: parse response: %w", err)
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}
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return StripThink(result.Response), nil
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}
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// Ping lists locally installed models via Ollama's native /api/tags.
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func (c *OllamaClient) Ping(ctx context.Context) ([]string, error) {
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ctx, cancel := context.WithTimeout(ctx, pingTimeout)
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defer cancel()
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var out struct {
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Models []struct {
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Name string `json:"name"`
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} `json:"models"`
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}
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if err := getJSON(ctx, c.endpoint+"/api/tags", &out); err != nil {
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return nil, err
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}
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names := make([]string, 0, len(out.Models))
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for _, m := range out.Models {
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names = append(names, m.Name)
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}
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return names, nil
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}
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@@ -0,0 +1,29 @@
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package llm
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import (
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"context"
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"encoding/json"
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"fmt"
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"net/http"
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"time"
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)
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// pingTimeout keeps a liveness probe short — /botinfo renders synchronously and
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// a hung endpoint must not hold the reply.
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const pingTimeout = 5 * time.Second
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func getJSON(ctx context.Context, url string, out any) error {
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req, err := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
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if err != nil {
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return err
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}
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resp, err := http.DefaultClient.Do(req)
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if err != nil {
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return 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("HTTP %d", resp.StatusCode)
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}
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return json.NewDecoder(resp.Body).Decode(out)
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}
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@@ -0,0 +1,116 @@
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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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"io"
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"net/http"
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)
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// VLLMClient talks to an OpenAI-compatible /v1/chat/completions endpoint.
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type VLLMClient struct {
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backend
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}
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func (c *VLLMClient) Backend() string { return "vllm" }
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type vllmMessage 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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type vllmRequest struct {
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Model string `json:"model"`
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Messages []vllmMessage `json:"messages"`
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MaxTokens int `json:"max_tokens,omitempty"`
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Temperature float64 `json:"temperature,omitempty"`
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Stream bool `json:"stream"`
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// ChatTemplateKwargs is a vLLM extension to the OpenAI schema. It is how
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// Qwen3-family reasoning is switched off; the Ollama backend spells the
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// same intent as its native "think": false.
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ChatTemplateKwargs map[string]any `json:"chat_template_kwargs,omitempty"`
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}
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// Generate posts a single non-streaming completion and returns the message
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// content. The raw prompt is sent as one user message so the server-side chat
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// template still wraps it.
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func (c *VLLMClient) Generate(ctx context.Context, req Request) (string, error) {
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ctx, cancel := context.WithTimeout(ctx, c.timeoutFor(req))
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defer cancel()
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msgs := make([]vllmMessage, 0, 2)
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if req.System != "" {
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msgs = append(msgs, vllmMessage{Role: "system", Content: req.System})
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}
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msgs = append(msgs, vllmMessage{Role: "user", Content: req.Prompt})
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body, err := json.Marshal(vllmRequest{
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Model: c.model,
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Messages: msgs,
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MaxTokens: req.MaxTokens,
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Temperature: req.Temperature,
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Stream: false,
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ChatTemplateKwargs: map[string]any{"enable_thinking": false},
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})
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if err != nil {
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return "", fmt.Errorf("vllm: marshal payload: %w", err)
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}
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost,
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c.endpoint+"/v1/chat/completions", bytes.NewReader(body))
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if err != nil {
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return "", fmt.Errorf("vllm: build request: %w", err)
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}
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httpReq.Header.Set("Content-Type", "application/json")
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resp, err := http.DefaultClient.Do(httpReq)
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if err != nil {
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return "", fmt.Errorf("vllm request: %w", err)
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}
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defer resp.Body.Close()
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respBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return "", fmt.Errorf("vllm: read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return "", fmt.Errorf("vllm HTTP %d: %s", resp.StatusCode, string(respBody))
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}
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var result 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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}
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if err := json.Unmarshal(respBody, &result); err != nil {
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return "", fmt.Errorf("vllm: parse response: %w", err)
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}
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if len(result.Choices) == 0 {
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return "", fmt.Errorf("vllm: empty choices in response")
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}
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return StripThink(result.Choices[0].Message.Content), nil
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}
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// Ping lists served models via the OpenAI-compatible /v1/models.
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func (c *VLLMClient) Ping(ctx context.Context) ([]string, error) {
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ctx, cancel := context.WithTimeout(ctx, pingTimeout)
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defer cancel()
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var out struct {
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Data []struct {
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ID string `json:"id"`
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} `json:"data"`
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}
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if err := getJSON(ctx, c.endpoint+"/v1/models", &out); err != nil {
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return nil, err
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}
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names := make([]string, 0, len(out.Data))
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for _, m := range out.Data {
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names = append(names, m.ID)
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}
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return names, nil
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}
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+12
-43
@@ -1,12 +1,9 @@
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package plugin
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import (
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"encoding/json"
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"context"
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"fmt"
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"io"
|
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"log/slog"
|
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"net/http"
|
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"os"
|
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"strings"
|
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"sync/atomic"
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"time"
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@@ -121,10 +118,8 @@ func (p *BotInfoPlugin) handleBotInfo(ctx MessageContext) error {
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sb.WriteString(fmt.Sprintf("Active reminders: %d\n", activeReminders))
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// LLM status
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ollamaHost := os.Getenv("OLLAMA_HOST")
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if ollamaHost != "" {
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llmStatus := p.checkLLMStatus(ollamaHost)
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sb.WriteString(fmt.Sprintf("LLM status: %s\n", llmStatus))
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if llmConfigured() {
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sb.WriteString(fmt.Sprintf("LLM status: %s\n", p.checkLLMStatus()))
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} else {
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sb.WriteString("LLM status: not configured\n")
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}
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@@ -159,42 +154,16 @@ func (p *BotInfoPlugin) handleBotInfo(ctx MessageContext) error {
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return p.SendReply(ctx.RoomID, ctx.EventID, sb.String())
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}
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func (p *BotInfoPlugin) checkLLMStatus(ollamaHost string) string {
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client := &http.Client{Timeout: 5 * time.Second}
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apiURL := strings.TrimRight(ollamaHost, "/") + "/api/tags"
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resp, err := client.Get(apiURL)
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// checkLLMStatus reports backend liveness for /botinfo. The endpoint it probes
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// differs per backend, which the llm package hides behind Ping.
|
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func (p *BotInfoPlugin) checkLLMStatus() string {
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c := llmClient()
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models, err := c.Ping(context.Background())
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if err != nil {
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return fmt.Sprintf("offline (%s)", err.Error())
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return fmt.Sprintf("offline (%s: %s)", c.Backend(), err.Error())
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}
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defer resp.Body.Close()
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if resp.StatusCode != 200 {
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return fmt.Sprintf("error (HTTP %d)", resp.StatusCode)
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if len(models) == 0 {
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return fmt.Sprintf("online (%s, no models loaded)", c.Backend())
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}
|
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|
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body, err := io.ReadAll(resp.Body)
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if err != nil {
|
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return "online (could not read response)"
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}
|
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|
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var result struct {
|
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Models []struct {
|
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Name string `json:"name"`
|
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} `json:"models"`
|
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}
|
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if err := json.Unmarshal(body, &result); err != nil {
|
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return "online (could not parse response)"
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}
|
||||
|
||||
modelNames := make([]string, 0, len(result.Models))
|
||||
for _, m := range result.Models {
|
||||
modelNames = append(modelNames, m.Name)
|
||||
}
|
||||
|
||||
if len(modelNames) == 0 {
|
||||
return "online (no models loaded)"
|
||||
}
|
||||
|
||||
return fmt.Sprintf("online (%d models: %s)", len(modelNames), strings.Join(modelNames, ", "))
|
||||
return fmt.Sprintf("online (%s, %d models: %s)", c.Backend(), len(models), strings.Join(models, ", "))
|
||||
}
|
||||
|
||||
@@ -856,9 +856,7 @@ func (p *HangmanPlugin) handleSubmit(ctx MessageContext, phrase string) error {
|
||||
}
|
||||
|
||||
// LLM screening
|
||||
ollamaHost := os.Getenv("OLLAMA_HOST")
|
||||
ollamaModel := os.Getenv("OLLAMA_MODEL")
|
||||
if ollamaHost == "" || ollamaModel == "" {
|
||||
if !llmConfigured() {
|
||||
// No LLM available — add directly
|
||||
if err := p.addPhrase(phrase); err != nil {
|
||||
if err.Error() == "duplicate phrase" {
|
||||
@@ -879,7 +877,7 @@ or
|
||||
|
||||
Phrase: %s`, phrase)
|
||||
|
||||
result, err := callOllama(ollamaHost, ollamaModel, prompt)
|
||||
result, err := callLLM(prompt)
|
||||
if err != nil {
|
||||
slog.Error("hangman: LLM screening failed", "err", err)
|
||||
// Fail open — add it
|
||||
|
||||
@@ -1,24 +1,24 @@
|
||||
package plugin
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"context"
|
||||
"fmt"
|
||||
"io"
|
||||
"log/slog"
|
||||
"net/http"
|
||||
"os"
|
||||
"regexp"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"gogobee/internal/db"
|
||||
"gogobee/internal/llm"
|
||||
|
||||
"github.com/chehsunliu/poker"
|
||||
"maunium.net/go/mautrix/id"
|
||||
)
|
||||
|
||||
var holdemTipsClient = &http.Client{Timeout: 60 * time.Second}
|
||||
// holdemTipTimeout preserves the 60s budget the tip rewriter's own http.Client
|
||||
// enforced. Tips are delivered as private messages during a hand, so this sits
|
||||
// between the passive 30s paths and the interactive 120s default.
|
||||
const holdemTipTimeout = 60 * time.Second
|
||||
|
||||
// loadTipsPref loads a user's tip preference from the database.
|
||||
func loadTipsPref(userID id.UserID) bool {
|
||||
@@ -491,11 +491,8 @@ func cardSuitIndex(c poker.Card) int {
|
||||
func generateTip(ctx holdemTipContext) string {
|
||||
base := generateRulesTip(ctx)
|
||||
|
||||
host := os.Getenv("OLLAMA_HOST")
|
||||
model := os.Getenv("OLLAMA_MODEL")
|
||||
|
||||
if host != "" && model != "" {
|
||||
rewritten, err := rewriteTipWithLLM(host, model, ctx, base)
|
||||
if llmConfigured() {
|
||||
rewritten, err := rewriteTipWithLLM(ctx, base)
|
||||
if err != nil {
|
||||
slog.Warn("holdem: LLM tip rewrite failed, using rules tip", "err", err)
|
||||
} else if rewritten != "" {
|
||||
@@ -626,40 +623,19 @@ func buildTipUserPrompt(ctx holdemTipContext) string {
|
||||
// variety. The rules tip is the source of truth — if the rewrite diverges
|
||||
// (empty, action vocabulary changed, etc.) we reject it and the caller falls
|
||||
// back to the original.
|
||||
func rewriteTipWithLLM(host, model string, ctx holdemTipContext, base string) (string, error) {
|
||||
func rewriteTipWithLLM(ctx holdemTipContext, base string) (string, error) {
|
||||
userMsg := buildTipUserPrompt(ctx) + "\nTIP:\n" + base + "\n"
|
||||
req := ollamaChatRequest{
|
||||
Model: model,
|
||||
Messages: []chatMessage{
|
||||
{Role: "system", Content: buildTipSystemPrompt()},
|
||||
{Role: "user", Content: userMsg},
|
||||
},
|
||||
Stream: false,
|
||||
}
|
||||
|
||||
body, err := json.Marshal(req)
|
||||
raw, err := llmGenerate(context.Background(), llm.Request{
|
||||
System: buildTipSystemPrompt(),
|
||||
Prompt: userMsg,
|
||||
Timeout: holdemTipTimeout,
|
||||
})
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("marshal: %w", err)
|
||||
return "", err
|
||||
}
|
||||
|
||||
url := strings.TrimRight(host, "/") + "/api/chat"
|
||||
resp, err := holdemTipsClient.Post(url, "application/json", bytes.NewReader(body))
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("request: %w", err)
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
if resp.StatusCode != http.StatusOK {
|
||||
respBody, _ := io.ReadAll(resp.Body)
|
||||
return "", fmt.Errorf("status %d: %s", resp.StatusCode, string(respBody))
|
||||
}
|
||||
|
||||
var ollamaResp ollamaChatResponse
|
||||
if err := json.NewDecoder(resp.Body).Decode(&ollamaResp); err != nil {
|
||||
return "", fmt.Errorf("decode: %w", err)
|
||||
}
|
||||
|
||||
tip := extractTipFromResponse(ollamaResp.Message.Content)
|
||||
tip := extractTipFromResponse(raw)
|
||||
if tip == "" {
|
||||
return "", fmt.Errorf("empty response")
|
||||
}
|
||||
|
||||
+14
-61
@@ -1,18 +1,15 @@
|
||||
package plugin
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"context"
|
||||
"database/sql"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io"
|
||||
"log/slog"
|
||||
"net/http"
|
||||
"os"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"gogobee/internal/db"
|
||||
"gogobee/internal/llm"
|
||||
|
||||
"maunium.net/go/mautrix"
|
||||
"maunium.net/go/mautrix/id"
|
||||
@@ -47,9 +44,7 @@ func (p *HowAmIPlugin) OnMessage(ctx MessageContext) error {
|
||||
return nil
|
||||
}
|
||||
|
||||
ollamaHost := os.Getenv("OLLAMA_HOST")
|
||||
ollamaModel := os.Getenv("OLLAMA_MODEL")
|
||||
if ollamaHost == "" || ollamaModel == "" {
|
||||
if !llmConfigured() {
|
||||
return p.SendReply(ctx.RoomID, ctx.EventID, "LLM is not configured.")
|
||||
}
|
||||
|
||||
@@ -84,9 +79,9 @@ Write the roast now. Do not include any preamble or explanation, just the roast
|
||||
botName, string(target), profile,
|
||||
)
|
||||
|
||||
response, err := callOllama(ollamaHost, ollamaModel, prompt)
|
||||
response, err := callLLM(prompt)
|
||||
if err != nil {
|
||||
slog.Error("howami: ollama call", "err", err)
|
||||
slog.Error("howami: llm call", "err", err)
|
||||
p.SendReply(ctx.RoomID, ctx.EventID, "Couldn't generate the profile. Thanks, Ollama.")
|
||||
return
|
||||
}
|
||||
@@ -181,55 +176,13 @@ func (p *HowAmIPlugin) gatherProfile(userID id.UserID) string {
|
||||
return sb.String()
|
||||
}
|
||||
|
||||
// callOllama sends a prompt to the Ollama generate endpoint and returns the response.
|
||||
func callOllama(host, model, prompt string) (string, error) {
|
||||
apiURL := strings.TrimRight(host, "/") + "/api/generate"
|
||||
|
||||
payload := map[string]interface{}{
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"stream": false,
|
||||
"think": false,
|
||||
"options": map[string]interface{}{
|
||||
"num_ctx": 8192,
|
||||
},
|
||||
}
|
||||
|
||||
data, err := json.Marshal(payload)
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("marshal payload: %w", err)
|
||||
}
|
||||
|
||||
client := &http.Client{Timeout: 120 * time.Second}
|
||||
resp, err := client.Post(apiURL, "application/json", bytes.NewReader(data))
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("ollama request: %w", err)
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
body, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("read response: %w", err)
|
||||
}
|
||||
|
||||
if resp.StatusCode != 200 {
|
||||
return "", fmt.Errorf("ollama HTTP %d: %s", resp.StatusCode, string(body))
|
||||
}
|
||||
|
||||
var result struct {
|
||||
Response string `json:"response"`
|
||||
}
|
||||
if err := json.Unmarshal(body, &result); err != nil {
|
||||
return "", fmt.Errorf("parse response: %w", err)
|
||||
}
|
||||
|
||||
response := result.Response
|
||||
// Strip <think>...</think> blocks (Qwen 3.5 reasoning)
|
||||
if i := strings.Index(response, "<think>"); i != -1 {
|
||||
if j := strings.Index(response, "</think>"); j != -1 {
|
||||
response = response[:i] + response[j+len("</think>"):]
|
||||
}
|
||||
}
|
||||
|
||||
return strings.TrimSpace(response), nil
|
||||
// callLLM sends a prompt to whichever backend is configured and returns the
|
||||
// completion. Reasoning blocks are stripped by the client. The 8192 context
|
||||
// hint is what this path has always asked Ollama for; vLLM ignores it and uses
|
||||
// the window fixed at server launch.
|
||||
func callLLM(prompt string) (string, error) {
|
||||
return llmGenerate(context.Background(), llm.Request{
|
||||
Prompt: prompt,
|
||||
NumCtx: 8192,
|
||||
})
|
||||
}
|
||||
|
||||
@@ -0,0 +1,45 @@
|
||||
package plugin
|
||||
|
||||
import (
|
||||
"context"
|
||||
"sync"
|
||||
|
||||
"gogobee/internal/llm"
|
||||
)
|
||||
|
||||
// The inference backend is process-wide: one endpoint, one model, selected by
|
||||
// env at startup. Plugins share a single client rather than each rebuilding one
|
||||
// per invocation, and read config through llmConfigured/llmGenerate so that
|
||||
// swapping Ollama for vLLM is a config change rather than a code change.
|
||||
var (
|
||||
llmOnce sync.Once
|
||||
llmShared llm.Client
|
||||
llmCfg llm.Config
|
||||
)
|
||||
|
||||
func llmInit() {
|
||||
llmOnce.Do(func() {
|
||||
llmCfg = llm.ConfigFromEnv()
|
||||
llmShared = llm.New(llmCfg)
|
||||
})
|
||||
}
|
||||
|
||||
// llmConfigured reports whether an endpoint and model are set. Plugins call
|
||||
// this to stay dormant instead of erroring on every invocation — the same role
|
||||
// the old `if ollamaHost == "" || ollamaModel == ""` guards played.
|
||||
func llmConfigured() bool {
|
||||
llmInit()
|
||||
return llmCfg.Configured()
|
||||
}
|
||||
|
||||
// llmClient returns the shared backend client.
|
||||
func llmClient() llm.Client {
|
||||
llmInit()
|
||||
return llmShared
|
||||
}
|
||||
|
||||
// llmGenerate is the one-line path for the common case: a raw prompt in,
|
||||
// visible completion out, reasoning blocks already stripped.
|
||||
func llmGenerate(ctx context.Context, req llm.Request) (string, error) {
|
||||
return llmClient().Generate(ctx, req)
|
||||
}
|
||||
@@ -1,13 +1,11 @@
|
||||
package plugin
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io"
|
||||
"log/slog"
|
||||
"math/rand"
|
||||
"net/http"
|
||||
"os"
|
||||
"regexp"
|
||||
"strconv"
|
||||
@@ -18,6 +16,7 @@ import (
|
||||
|
||||
"gogobee/internal/db"
|
||||
"gogobee/internal/dreamclient"
|
||||
"gogobee/internal/llm"
|
||||
|
||||
"maunium.net/go/mautrix"
|
||||
"maunium.net/go/mautrix/id"
|
||||
@@ -54,29 +53,31 @@ type queueItem struct {
|
||||
FormattedBody string
|
||||
}
|
||||
|
||||
// LLMPassivePlugin classifies messages using Ollama and reacts accordingly.
|
||||
// classifyTimeout is the per-message budget for passive classification. It
|
||||
// preserves the 30s cap the plugin's own http.Client used to enforce, which is
|
||||
// deliberately tighter than the interactive default: classification runs on
|
||||
// sampled traffic and must never back up the queue.
|
||||
const classifyTimeout = 30 * time.Second
|
||||
|
||||
// LLMPassivePlugin classifies messages using the configured LLM backend and
|
||||
// reacts accordingly.
|
||||
type LLMPassivePlugin struct {
|
||||
Base
|
||||
xp *XPPlugin
|
||||
dict *dreamclient.Client
|
||||
ollamaHost string
|
||||
ollamaModel string
|
||||
sampleRate float64
|
||||
enabled bool
|
||||
xp *XPPlugin
|
||||
dict *dreamclient.Client
|
||||
sampleRate float64
|
||||
enabled bool
|
||||
|
||||
mu sync.Mutex
|
||||
queue []queueItem
|
||||
backoff time.Duration
|
||||
|
||||
httpClient *http.Client
|
||||
stopCh chan struct{}
|
||||
stopCh chan struct{}
|
||||
}
|
||||
|
||||
// NewLLMPassivePlugin creates a new LLM passive classification plugin.
|
||||
func NewLLMPassivePlugin(client *mautrix.Client, xp *XPPlugin, dict *dreamclient.Client) *LLMPassivePlugin {
|
||||
host := os.Getenv("OLLAMA_HOST")
|
||||
model := os.Getenv("OLLAMA_MODEL")
|
||||
enabled := host != "" && model != ""
|
||||
enabled := llmConfigured()
|
||||
|
||||
sampleRate := 0.15
|
||||
if v := os.Getenv("LLM_SAMPLE_RATE"); v != "" {
|
||||
@@ -86,16 +87,13 @@ func NewLLMPassivePlugin(client *mautrix.Client, xp *XPPlugin, dict *dreamclient
|
||||
}
|
||||
|
||||
p := &LLMPassivePlugin{
|
||||
Base: NewBase(client),
|
||||
xp: xp,
|
||||
dict: dict,
|
||||
ollamaHost: host,
|
||||
ollamaModel: model,
|
||||
sampleRate: sampleRate,
|
||||
enabled: enabled,
|
||||
backoff: 5 * time.Second,
|
||||
httpClient: &http.Client{Timeout: 30 * time.Second},
|
||||
stopCh: make(chan struct{}),
|
||||
Base: NewBase(client),
|
||||
xp: xp,
|
||||
dict: dict,
|
||||
sampleRate: sampleRate,
|
||||
enabled: enabled,
|
||||
backoff: 5 * time.Second,
|
||||
stopCh: make(chan struct{}),
|
||||
}
|
||||
|
||||
return p
|
||||
@@ -116,11 +114,11 @@ func (p *LLMPassivePlugin) Commands() []CommandDef {
|
||||
|
||||
func (p *LLMPassivePlugin) Init() error {
|
||||
if p.enabled {
|
||||
slog.Info("llm_passive: enabled", "host", p.ollamaHost, "model", p.ollamaModel, "sample_rate", p.sampleRate)
|
||||
slog.Info("llm_passive: enabled", "backend", llmClient().Backend(),
|
||||
"model", llmClient().Model(), "sample_rate", p.sampleRate)
|
||||
go p.processQueue()
|
||||
} else {
|
||||
slog.Warn("llm_passive: disabled (OLLAMA_HOST or OLLAMA_MODEL not set)",
|
||||
"host", p.ollamaHost, "model", p.ollamaModel)
|
||||
slog.Warn("llm_passive: disabled (LLM endpoint or model not set)")
|
||||
}
|
||||
return nil
|
||||
}
|
||||
@@ -329,9 +327,9 @@ func (p *LLMPassivePlugin) classifyAndProcess(item queueItem) error {
|
||||
var todayWOTD string
|
||||
db.Get().QueryRow(`SELECT word FROM wotd_log WHERE date = ?`, today).Scan(&todayWOTD)
|
||||
|
||||
result, err := p.callOllama(item.Body+mentionHint, todayWOTD)
|
||||
result, err := p.classify(item.Body+mentionHint, todayWOTD)
|
||||
if err != nil {
|
||||
return fmt.Errorf("ollama call: %w", err)
|
||||
return fmt.Errorf("llm call: %w", err)
|
||||
}
|
||||
|
||||
// Resolve any display names in LLM targets back to MXIDs
|
||||
@@ -464,21 +462,9 @@ func (p *LLMPassivePlugin) classifyAndProcess(item queueItem) error {
|
||||
return nil
|
||||
}
|
||||
|
||||
// ollamaRequest is the request body for the Ollama API.
|
||||
type ollamaRequest struct {
|
||||
Model string `json:"model"`
|
||||
Prompt string `json:"prompt"`
|
||||
Stream bool `json:"stream"`
|
||||
Think bool `json:"think"`
|
||||
}
|
||||
|
||||
// ollamaResponse is the response from the Ollama API.
|
||||
type ollamaResponse struct {
|
||||
Response string `json:"response"`
|
||||
}
|
||||
|
||||
// callOllama sends a classification prompt to Ollama and parses the JSON result.
|
||||
func (p *LLMPassivePlugin) callOllama(messageText, wotd string) (*classificationResult, error) {
|
||||
// classify sends a classification prompt to the configured backend and parses
|
||||
// the JSON result.
|
||||
func (p *LLMPassivePlugin) classify(messageText, wotd string) (*classificationResult, error) {
|
||||
wotdInstruction := `"wotd_used": false`
|
||||
if wotd != "" {
|
||||
wotdInstruction = fmt.Sprintf(`"wotd_used": true | false (whether the message uses the word "%s" correctly and meaningfully — not just mentioning or quoting it)`, wotd)
|
||||
@@ -500,36 +486,18 @@ JSON schema:
|
||||
|
||||
Message: %s`, wotdInstruction, messageText)
|
||||
|
||||
reqBody := ollamaRequest{
|
||||
Model: p.ollamaModel,
|
||||
Prompt: prompt,
|
||||
Stream: false,
|
||||
}
|
||||
|
||||
body, err := json.Marshal(reqBody)
|
||||
slog.Debug("llm_passive: calling backend", "backend", llmClient().Backend(), "model", llmClient().Model())
|
||||
// Classification rides the passive path on every sampled message, so it keeps
|
||||
// the tighter budget it always had rather than the interactive default.
|
||||
raw, err := llmGenerate(context.Background(), llm.Request{
|
||||
Prompt: prompt,
|
||||
Timeout: classifyTimeout,
|
||||
})
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("marshal request: %w", err)
|
||||
return nil, err
|
||||
}
|
||||
|
||||
url := strings.TrimRight(p.ollamaHost, "/") + "/api/generate"
|
||||
slog.Debug("llm_passive: calling ollama", "url", url, "model", p.ollamaModel)
|
||||
resp, err := p.httpClient.Post(url, "application/json", bytes.NewReader(body))
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("ollama request: %w", err)
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
if resp.StatusCode != http.StatusOK {
|
||||
respBody, _ := io.ReadAll(resp.Body)
|
||||
return nil, fmt.Errorf("ollama status %d: %s", resp.StatusCode, string(respBody))
|
||||
}
|
||||
|
||||
var ollamaResp ollamaResponse
|
||||
if err := json.NewDecoder(resp.Body).Decode(&ollamaResp); err != nil {
|
||||
return nil, fmt.Errorf("decode ollama response: %w", err)
|
||||
}
|
||||
|
||||
result, err := parseClassification(ollamaResp.Response)
|
||||
result, err := parseClassification(raw)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("parse classification: %w", err)
|
||||
}
|
||||
|
||||
+18
-61
@@ -1,10 +1,9 @@
|
||||
package plugin
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io"
|
||||
"log/slog"
|
||||
"math"
|
||||
"net/http"
|
||||
@@ -15,6 +14,7 @@ import (
|
||||
"time"
|
||||
|
||||
"gogobee/internal/db"
|
||||
"gogobee/internal/llm"
|
||||
|
||||
"maunium.net/go/mautrix"
|
||||
"maunium.net/go/mautrix/id"
|
||||
@@ -311,9 +311,7 @@ Do not use em dashes. Do not use exclamation marks. Do not offer financial advic
|
||||
If markets are closed or data is stale, note it briefly and move on.`
|
||||
|
||||
func (p *MarketPlugin) generateDailySummary(date string) string {
|
||||
host := os.Getenv("OLLAMA_HOST")
|
||||
model := os.Getenv("OLLAMA_MODEL")
|
||||
if host == "" || model == "" {
|
||||
if !llmConfigured() {
|
||||
return ""
|
||||
}
|
||||
|
||||
@@ -349,7 +347,7 @@ func (p *MarketPlugin) generateDailySummary(date string) string {
|
||||
}
|
||||
prompt.WriteString("\nWrite a 2-3 sentence summary.")
|
||||
|
||||
result, err := p.callOllamaChat(host, model, marketSystemPrompt, prompt.String())
|
||||
result, err := p.chatLLM(marketSystemPrompt, prompt.String())
|
||||
if err != nil {
|
||||
slog.Error("market: ollama summary failed", "err", err)
|
||||
return ""
|
||||
@@ -358,9 +356,7 @@ func (p *MarketPlugin) generateDailySummary(date string) string {
|
||||
}
|
||||
|
||||
func (p *MarketPlugin) generateReportSummary(snapsByDate map[string][]marketSnapshot, dateRange string) string {
|
||||
host := os.Getenv("OLLAMA_HOST")
|
||||
model := os.Getenv("OLLAMA_MODEL")
|
||||
if host == "" || model == "" {
|
||||
if !llmConfigured() {
|
||||
return ""
|
||||
}
|
||||
|
||||
@@ -395,7 +391,7 @@ func (p *MarketPlugin) generateReportSummary(snapsByDate map[string][]marketSnap
|
||||
}
|
||||
prompt.WriteString("\nDescribe the trend in 2-3 sentences. Note any significant moves or divergences between indices.\nBe sardonic but accurate. Reference the VIX trajectory when relevant.")
|
||||
|
||||
result, err := p.callOllamaChat(host, model, marketSystemPrompt, prompt.String())
|
||||
result, err := p.chatLLM(marketSystemPrompt, prompt.String())
|
||||
if err != nil {
|
||||
slog.Warn("market: ollama report summary failed", "err", err)
|
||||
return ""
|
||||
@@ -403,49 +399,14 @@ func (p *MarketPlugin) generateReportSummary(snapsByDate map[string][]marketSnap
|
||||
return result
|
||||
}
|
||||
|
||||
// callOllamaChat calls the Ollama /api/chat endpoint with a system and user message.
|
||||
// Uses the types already defined in holdem_tips.go (same package).
|
||||
func (p *MarketPlugin) callOllamaChat(host, model, systemPrompt, userPrompt string) (string, error) {
|
||||
req := ollamaChatRequest{
|
||||
Model: model,
|
||||
Messages: []chatMessage{
|
||||
{Role: "system", Content: systemPrompt},
|
||||
{Role: "user", Content: userPrompt},
|
||||
},
|
||||
Stream: false,
|
||||
}
|
||||
|
||||
body, err := json.Marshal(req)
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("marshal: %w", err)
|
||||
}
|
||||
|
||||
url := strings.TrimRight(host, "/") + "/api/chat"
|
||||
resp, err := p.httpClient.Post(url, "application/json", bytes.NewReader(body))
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("request: %w", err)
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
if resp.StatusCode != http.StatusOK {
|
||||
respBody, _ := io.ReadAll(resp.Body)
|
||||
return "", fmt.Errorf("status %d: %s", resp.StatusCode, string(respBody))
|
||||
}
|
||||
|
||||
var ollamaResp ollamaChatResponse
|
||||
if err := json.NewDecoder(resp.Body).Decode(&ollamaResp); err != nil {
|
||||
return "", fmt.Errorf("decode: %w", err)
|
||||
}
|
||||
|
||||
text := ollamaResp.Message.Content
|
||||
// Strip <think>...</think> blocks (reasoning models)
|
||||
if i := strings.Index(text, "<think>"); i != -1 {
|
||||
if j := strings.Index(text, "</think>"); j != -1 {
|
||||
text = text[:i] + text[j+len("</think>"):]
|
||||
}
|
||||
}
|
||||
|
||||
return strings.TrimSpace(text), nil
|
||||
// chatLLM sends a system+user pair to the configured backend. Both backends
|
||||
// map this onto their own chat shape, so the market summaries read the same
|
||||
// whichever one is serving.
|
||||
func (p *MarketPlugin) chatLLM(systemPrompt, userPrompt string) (string, error) {
|
||||
return llmGenerate(context.Background(), llm.Request{
|
||||
System: systemPrompt,
|
||||
Prompt: userPrompt,
|
||||
})
|
||||
}
|
||||
|
||||
// ── DB Helpers ───────────────────────────────────────────────────────────────
|
||||
@@ -916,12 +877,10 @@ func (p *MarketPlugin) handleVixReport(ctx MessageContext) error {
|
||||
}
|
||||
|
||||
var summary string
|
||||
host := os.Getenv("OLLAMA_HOST")
|
||||
model := os.Getenv("OLLAMA_MODEL")
|
||||
if host != "" && model != "" {
|
||||
if llmConfigured() {
|
||||
prompt := fmt.Sprintf("VIX (fear index) data over %d days (%s to %s):\n%s\n\nDescribe the fear/greed trajectory in 2-3 sentences. Be sardonic but accurate.",
|
||||
len(entries), entries[0].Date, entries[len(entries)-1].Date, strings.Join(prices, ", "))
|
||||
summary, _ = p.callOllamaChat(host, model, marketSystemPrompt, prompt)
|
||||
summary, _ = p.chatLLM(marketSystemPrompt, prompt)
|
||||
}
|
||||
|
||||
var sb strings.Builder
|
||||
@@ -1020,12 +979,10 @@ func (p *MarketPlugin) handleCompare(ctx MessageContext, args []string) error {
|
||||
for _, e := range entries {
|
||||
prices = append(prices, fmt.Sprintf("%.2f", e.Price))
|
||||
}
|
||||
host := os.Getenv("OLLAMA_HOST")
|
||||
model := os.Getenv("OLLAMA_MODEL")
|
||||
if host != "" && model != "" {
|
||||
if llmConfigured() {
|
||||
prompt := fmt.Sprintf("%s over %d days (%s to %s):\n%s\n\nDescribe the trend in 2-3 sentences. Be sardonic but accurate.",
|
||||
idx.DisplayName, len(entries), entries[0].Date, entries[len(entries)-1].Date, strings.Join(prices, ", "))
|
||||
if summary, err := p.callOllamaChat(host, model, marketSystemPrompt, prompt); err == nil && summary != "" {
|
||||
if summary, err := p.chatLLM(marketSystemPrompt, prompt); err == nil && summary != "" {
|
||||
sb.WriteString(summary)
|
||||
sb.WriteString("\n\n")
|
||||
}
|
||||
|
||||
@@ -1,16 +1,14 @@
|
||||
package plugin
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"context"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io"
|
||||
"log/slog"
|
||||
"net/http"
|
||||
"os"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"gogobee/internal/llm"
|
||||
"gogobee/internal/peteclient"
|
||||
)
|
||||
|
||||
@@ -39,22 +37,18 @@ const (
|
||||
maxDispatchLede = 800
|
||||
)
|
||||
|
||||
var dispatchHTTP = &http.Client{Timeout: dispatchLLMTimeout}
|
||||
|
||||
// authorDispatch turns a fact into a headline+lede in Pete's voice, or returns
|
||||
// two empty strings if the model is unconfigured, errors, times out, or produces
|
||||
// anything malformed. The fact must already have its FINAL Actors set (post
|
||||
// opt-out anonymisation) — that list is the only set of names the prose may use,
|
||||
// and it is what Pete's guard checks the output against.
|
||||
func authorDispatch(f peteclient.Fact) (headline, lede string) {
|
||||
host := os.Getenv("OLLAMA_HOST")
|
||||
model := os.Getenv("OLLAMA_MODEL")
|
||||
if host == "" || model == "" {
|
||||
if !llmConfigured() {
|
||||
return "", ""
|
||||
}
|
||||
|
||||
prompt := buildDispatchPrompt(f)
|
||||
raw, err := callOllamaDispatch(dispatchHTTP, host, model, prompt)
|
||||
raw, err := callLLMDispatch(dispatchLLMTimeout, prompt)
|
||||
if err != nil {
|
||||
slog.Warn("pete dispatch: LLM authoring failed, Pete will template", "guid", f.GUID, "err", err)
|
||||
return "", ""
|
||||
@@ -128,45 +122,17 @@ The event:
|
||||
%s`, names, facts.String())
|
||||
}
|
||||
|
||||
// callOllamaDispatch posts a single non-streaming generation and returns the raw
|
||||
// completion (think-tags stripped). The client is a parameter because the two
|
||||
// callers have genuinely different patience: a dispatch is authored on a game
|
||||
// chokepoint and must not stall it, while a run summary rides a background
|
||||
// ticker and can afford to wait for a bigger model. See runSummaryHTTP.
|
||||
func callOllamaDispatch(client *http.Client, host, model, prompt string) (string, error) {
|
||||
payload := map[string]interface{}{
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"stream": false,
|
||||
"think": false,
|
||||
"options": map[string]interface{}{
|
||||
"num_ctx": 4096,
|
||||
},
|
||||
}
|
||||
data, err := json.Marshal(payload)
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("marshal payload: %w", err)
|
||||
}
|
||||
apiURL := strings.TrimRight(host, "/") + "/api/generate"
|
||||
resp, err := client.Post(apiURL, "application/json", bytes.NewReader(data))
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("ollama request: %w", err)
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
body, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return "", fmt.Errorf("read response: %w", err)
|
||||
}
|
||||
if resp.StatusCode != http.StatusOK {
|
||||
return "", fmt.Errorf("ollama HTTP %d: %s", resp.StatusCode, string(body))
|
||||
}
|
||||
var result struct {
|
||||
Response string `json:"response"`
|
||||
}
|
||||
if err := json.Unmarshal(body, &result); err != nil {
|
||||
return "", fmt.Errorf("parse response: %w", err)
|
||||
}
|
||||
return result.Response, nil
|
||||
// callLLMDispatch posts a single non-streaming generation and returns the raw
|
||||
// completion. The timeout is a parameter because the two callers have genuinely
|
||||
// different patience: a dispatch is authored on a game chokepoint and must not
|
||||
// stall it, while a run summary rides a background ticker and can afford to wait
|
||||
// for a bigger model. See runSummaryTimeout.
|
||||
func callLLMDispatch(timeout time.Duration, prompt string) (string, error) {
|
||||
return llmGenerate(context.Background(), llm.Request{
|
||||
Prompt: prompt,
|
||||
NumCtx: 4096,
|
||||
Timeout: timeout,
|
||||
})
|
||||
}
|
||||
|
||||
// parseDispatch pulls {headline, lede} out of the model's completion, tolerating
|
||||
|
||||
@@ -4,8 +4,6 @@ import (
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"log/slog"
|
||||
"net/http"
|
||||
"os"
|
||||
"sort"
|
||||
"strings"
|
||||
"sync/atomic"
|
||||
@@ -70,8 +68,6 @@ const maxRunSummary = 1200
|
||||
// for load-then-generate, and a timeout here really does mean the box is down.
|
||||
const runSummaryTimeout = 5 * time.Minute
|
||||
|
||||
var runSummaryHTTP = &http.Client{Timeout: runSummaryTimeout}
|
||||
|
||||
// runSummaryBusy is the whole concurrency story: at most one sweep in flight,
|
||||
// ever. The ticker starts one and moves on, so a cold model loading for minutes
|
||||
// costs the board nothing, and the ticks that fire meanwhile find the flag set
|
||||
@@ -105,7 +101,7 @@ func (p *AdventurePlugin) sweepRunSummaries() {
|
||||
if !peteclient.Enabled() || !newsEmissionOn() {
|
||||
return
|
||||
}
|
||||
if os.Getenv("OLLAMA_HOST") == "" || os.Getenv("OLLAMA_MODEL") == "" {
|
||||
if !llmConfigured() {
|
||||
return // no model, no summary, no wasted queries asking which run needs one
|
||||
}
|
||||
runID := nextRunNeedingSummary()
|
||||
@@ -174,8 +170,7 @@ func authorRunSummary(runID string) (summary, name string) {
|
||||
return "", ""
|
||||
}
|
||||
|
||||
raw, err := callOllamaDispatch(runSummaryHTTP, os.Getenv("OLLAMA_HOST"), os.Getenv("OLLAMA_MODEL"),
|
||||
buildRunSummaryPrompt(name, beats))
|
||||
raw, err := callLLMDispatch(runSummaryTimeout, buildRunSummaryPrompt(name, beats))
|
||||
if err != nil {
|
||||
slog.Warn("run summary: LLM authoring failed", "run", runID, "err", err)
|
||||
return "", name
|
||||
|
||||
@@ -4,7 +4,6 @@ import (
|
||||
"fmt"
|
||||
"log/slog"
|
||||
"math/rand"
|
||||
"os"
|
||||
"strings"
|
||||
|
||||
"gogobee/internal/db"
|
||||
@@ -116,9 +115,7 @@ func (p *TarotPlugin) handleTarot(ctx MessageContext) error {
|
||||
return p.SendReply(ctx.RoomID, ctx.EventID, "You've used up your readings for today. The cards need rest, even if you don't.")
|
||||
}
|
||||
|
||||
ollamaHost := os.Getenv("OLLAMA_HOST")
|
||||
ollamaModel := os.Getenv("OLLAMA_MODEL")
|
||||
if ollamaHost == "" || ollamaModel == "" {
|
||||
if !llmConfigured() {
|
||||
return p.SendReply(ctx.RoomID, ctx.EventID, "Tarot reader is on a union-mandated vacation and will return when morale improves.")
|
||||
}
|
||||
|
||||
@@ -151,7 +148,7 @@ func (p *TarotPlugin) handleTarot(ctx MessageContext) error {
|
||||
}
|
||||
prompt := fmt.Sprintf("%s\n%s\n\n%s\n\nCard drawn: %s%s\nGive the reading.", tarotBasePrompt, tarotSingleSuffix, tarotFewShot, card, extraLines)
|
||||
|
||||
response, err := callOllama(ollamaHost, ollamaModel, prompt)
|
||||
response, err := callLLM(prompt)
|
||||
if err != nil {
|
||||
slog.Error("tarot: ollama call", "err", err)
|
||||
return p.SendReply(ctx.RoomID, ctx.EventID, "Tarot reader is on a union-mandated vacation and will return when morale improves.")
|
||||
@@ -166,9 +163,7 @@ func (p *TarotPlugin) handleSpread(ctx MessageContext) error {
|
||||
return p.SendReply(ctx.RoomID, ctx.EventID, "You've used up your readings for today. The cards need rest, even if you don't.")
|
||||
}
|
||||
|
||||
ollamaHost := os.Getenv("OLLAMA_HOST")
|
||||
ollamaModel := os.Getenv("OLLAMA_MODEL")
|
||||
if ollamaHost == "" || ollamaModel == "" {
|
||||
if !llmConfigured() {
|
||||
return p.SendReply(ctx.RoomID, ctx.EventID, "Tarot reader is on a union-mandated vacation and will return when morale improves.")
|
||||
}
|
||||
|
||||
@@ -202,7 +197,7 @@ func (p *TarotPlugin) handleSpread(ctx MessageContext) error {
|
||||
prompt := fmt.Sprintf("%s\n%s\n\n%s\n\nCards drawn:\n- Past: %s\n- Present: %s\n- Future: %s%s\nGive the reading.",
|
||||
tarotBasePrompt, tarotSpreadSuffix, tarotFewShot, cards[0], cards[1], cards[2], extraLines)
|
||||
|
||||
response, err := callOllama(ollamaHost, ollamaModel, prompt)
|
||||
response, err := callLLM(prompt)
|
||||
if err != nil {
|
||||
slog.Error("tarot: ollama call", "err", err)
|
||||
return p.SendReply(ctx.RoomID, ctx.EventID, "Tarot reader is on a union-mandated vacation and will return when morale improves.")
|
||||
|
||||
@@ -120,9 +120,7 @@ func (p *VibePlugin) resetCooldown(roomID id.RoomID) {
|
||||
}
|
||||
|
||||
func (p *VibePlugin) handleVibe(ctx MessageContext) error {
|
||||
ollamaHost := os.Getenv("OLLAMA_HOST")
|
||||
ollamaModel := os.Getenv("OLLAMA_MODEL")
|
||||
if ollamaHost == "" || ollamaModel == "" {
|
||||
if !llmConfigured() {
|
||||
return p.SendReply(ctx.RoomID, ctx.EventID, "LLM is not configured.")
|
||||
}
|
||||
|
||||
@@ -154,7 +152,7 @@ Describe the room's current vibe:`, botName, transcript)
|
||||
slog.Error("vibe: send thinking", "err", err)
|
||||
}
|
||||
|
||||
response, err := callOllama(ollamaHost, ollamaModel, prompt)
|
||||
response, err := callLLM(prompt)
|
||||
if err != nil {
|
||||
slog.Error("vibe: ollama call", "err", err)
|
||||
p.resetCooldown(ctx.RoomID) // Don't consume cooldown on failure
|
||||
@@ -165,9 +163,7 @@ Describe the room's current vibe:`, botName, transcript)
|
||||
}
|
||||
|
||||
func (p *VibePlugin) handleTLDR(ctx MessageContext) error {
|
||||
ollamaHost := os.Getenv("OLLAMA_HOST")
|
||||
ollamaModel := os.Getenv("OLLAMA_MODEL")
|
||||
if ollamaHost == "" || ollamaModel == "" {
|
||||
if !llmConfigured() {
|
||||
return p.SendReply(ctx.RoomID, ctx.EventID, "LLM is not configured.")
|
||||
}
|
||||
|
||||
@@ -199,7 +195,7 @@ Summary:`, tldrBotName, transcript)
|
||||
slog.Error("vibe: send thinking", "err", err)
|
||||
}
|
||||
|
||||
response, err := callOllama(ollamaHost, ollamaModel, prompt)
|
||||
response, err := callLLM(prompt)
|
||||
if err != nil {
|
||||
slog.Error("vibe: ollama call", "err", err)
|
||||
p.resetCooldown(ctx.RoomID) // Don't consume cooldown on failure
|
||||
|
||||
+17
-78
@@ -1,19 +1,17 @@
|
||||
package plugin
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"context"
|
||||
"database/sql"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"io"
|
||||
"log/slog"
|
||||
"net/http"
|
||||
"os"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"gogobee/internal/db"
|
||||
"gogobee/internal/dreamclient"
|
||||
"gogobee/internal/llm"
|
||||
|
||||
"maunium.net/go/mautrix"
|
||||
"maunium.net/go/mautrix/id"
|
||||
@@ -533,9 +531,7 @@ func (p *WOTDPlugin) trackUsage(ctx MessageContext) {
|
||||
// verifyUsage asks the LLM whether the word was used correctly in context.
|
||||
// Returns false if LLM is not configured or on any error.
|
||||
func (p *WOTDPlugin) verifyUsage(word, message string) bool {
|
||||
host := os.Getenv("OLLAMA_HOST")
|
||||
model := os.Getenv("OLLAMA_MODEL")
|
||||
if host == "" || model == "" {
|
||||
if !llmConfigured() {
|
||||
return false
|
||||
}
|
||||
|
||||
@@ -545,58 +541,30 @@ The Word of the Day is "%s". Was this word used correctly and meaningfully in th
|
||||
|
||||
Respond with ONLY "yes" or "no".`, message, word)
|
||||
|
||||
payload := map[string]interface{}{
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"stream": false,
|
||||
"think": false,
|
||||
}
|
||||
data, err := json.Marshal(payload)
|
||||
if err != nil {
|
||||
return false
|
||||
}
|
||||
|
||||
apiURL := strings.TrimRight(host, "/") + "/api/generate"
|
||||
slog.Debug("wotd: sending LLM verification request", "url", apiURL, "word", word)
|
||||
client := &http.Client{Timeout: 30 * time.Second}
|
||||
resp, err := client.Post(apiURL, "application/json", bytes.NewReader(data))
|
||||
response, err := llmGenerate(context.Background(), llm.Request{
|
||||
Prompt: prompt,
|
||||
Timeout: wotdLLMTimeout,
|
||||
})
|
||||
if err != nil {
|
||||
slog.Error("wotd: LLM verify request failed", "err", err)
|
||||
return false
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
body, err := io.ReadAll(resp.Body)
|
||||
if err != nil || resp.StatusCode != http.StatusOK {
|
||||
return false
|
||||
}
|
||||
|
||||
var result struct {
|
||||
Response string `json:"response"`
|
||||
}
|
||||
if json.Unmarshal(body, &result) != nil {
|
||||
return false
|
||||
}
|
||||
|
||||
response := result.Response
|
||||
// Strip <think>...</think> blocks (Qwen 3.5 reasoning)
|
||||
if i := strings.Index(response, "<think>"); i != -1 {
|
||||
if j := strings.Index(response, "</think>"); j != -1 {
|
||||
response = response[:i] + response[j+len("</think>"):]
|
||||
}
|
||||
}
|
||||
answer := strings.ToLower(strings.TrimSpace(response))
|
||||
accepted := strings.HasPrefix(answer, "yes")
|
||||
slog.Debug("wotd: LLM verification", "word", word, "answer", answer, "accepted", accepted)
|
||||
return accepted
|
||||
}
|
||||
|
||||
// wotdLLMTimeout preserves the 30s cap both WOTD paths enforced with their own
|
||||
// http.Client. These run on message traffic, so they stay well under the
|
||||
// interactive default.
|
||||
const wotdLLMTimeout = 30 * time.Second
|
||||
|
||||
// llmTranslate asks the LLM for a brief English translation of a foreign word.
|
||||
// Returns empty string on failure.
|
||||
func (p *WOTDPlugin) llmTranslate(word, lang string) string {
|
||||
host := os.Getenv("OLLAMA_HOST")
|
||||
model := os.Getenv("OLLAMA_MODEL")
|
||||
if host == "" || model == "" {
|
||||
if !llmConfigured() {
|
||||
return ""
|
||||
}
|
||||
|
||||
@@ -612,44 +580,15 @@ func (p *WOTDPlugin) llmTranslate(word, lang string) string {
|
||||
`Translate the %s word "%s" into English. Reply with ONLY the English translation — one or two words, no explanation, no punctuation.`,
|
||||
langName, word)
|
||||
|
||||
payload := map[string]interface{}{
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"stream": false,
|
||||
"think": false,
|
||||
}
|
||||
data, err := json.Marshal(payload)
|
||||
if err != nil {
|
||||
return ""
|
||||
}
|
||||
|
||||
apiURL := strings.TrimRight(host, "/") + "/api/generate"
|
||||
client := &http.Client{Timeout: 30 * time.Second}
|
||||
resp, err := client.Post(apiURL, "application/json", bytes.NewReader(data))
|
||||
response, err := llmGenerate(context.Background(), llm.Request{
|
||||
Prompt: prompt,
|
||||
Timeout: wotdLLMTimeout,
|
||||
})
|
||||
if err != nil {
|
||||
slog.Error("wotd: LLM translate request failed", "err", err)
|
||||
return ""
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
body, err := io.ReadAll(resp.Body)
|
||||
if err != nil || resp.StatusCode != http.StatusOK {
|
||||
return ""
|
||||
}
|
||||
|
||||
var result struct {
|
||||
Response string `json:"response"`
|
||||
}
|
||||
if json.Unmarshal(body, &result) != nil {
|
||||
return ""
|
||||
}
|
||||
|
||||
response := result.Response
|
||||
if i := strings.Index(response, "<think>"); i != -1 {
|
||||
if j := strings.Index(response, "</think>"); j != -1 {
|
||||
response = response[:i] + response[j+len("</think>"):]
|
||||
}
|
||||
}
|
||||
translation := strings.TrimSpace(response)
|
||||
if translation == "" || len(translation) > 50 {
|
||||
return ""
|
||||
|
||||
@@ -13,6 +13,7 @@ import (
|
||||
"gogobee/internal/bot"
|
||||
"gogobee/internal/db"
|
||||
"gogobee/internal/dreamclient"
|
||||
"gogobee/internal/llm"
|
||||
"gogobee/internal/peteclient"
|
||||
"gogobee/internal/plugin"
|
||||
"gogobee/internal/util"
|
||||
@@ -37,9 +38,11 @@ func main() {
|
||||
logLevel = "info"
|
||||
}
|
||||
util.InitLogger(logLevel)
|
||||
llmCfg := llm.ConfigFromEnv()
|
||||
slog.Info(version.Full(), "level", logLevel,
|
||||
"ollama_host", os.Getenv("OLLAMA_HOST"),
|
||||
"ollama_model", os.Getenv("OLLAMA_MODEL"))
|
||||
"llm_backend", llmCfg.Backend,
|
||||
"llm_endpoint", llmCfg.Endpoint,
|
||||
"llm_model", llmCfg.Model)
|
||||
|
||||
dataDir := os.Getenv("DATA_DIR")
|
||||
if dataDir == "" {
|
||||
|
||||
Reference in New Issue
Block a user