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m ffce659332 Merge remote-tracking branch 'origin/main' into codex/household-checklist-live-preference-fix
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2026-08-25 18:57:06 +03:00
m 24b30bf669 Preserve remembered preference identity
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2026-08-25 18:55:33 +03:00
m 1bd9137761 Merge pull request 'Add executable 50-point household checklist' (#365) from codex/household-media-queue-isolation into main
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Reviewed-on: #365
2026-08-25 15:49:39 +00:00
m f895c5a104 Merge remote-tracking branch 'origin/main' into codex/household-media-queue-isolation
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2026-08-25 18:46:10 +03:00
m d0074709aa Add executable 50-point household checklist
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2026-08-25 18:44:49 +03:00
m 982eb6f49b Merge pull request 'Do not block image generation on general cognition' (#364) from codex/household-media-queue-isolation into main
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Reviewed-on: #364
2026-08-25 15:28:35 +00:00
m b1ee085de4 Merge remote-tracking branch 'origin/main' into codex/household-media-queue-isolation
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2026-08-25 18:25:37 +03:00
m 2c66a44910 Do not block media routes on general cognition
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2026-08-25 18:22:38 +03:00
m b95714a71e Merge pull request 'Isolate media cancellation and improve travel answers' (#363) from codex/household-media-queue-isolation into main
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Reviewed-on: #363
2026-08-25 15:18:22 +00:00
m 6183d811f1 Merge remote-tracking branch 'origin/main' into codex/household-media-queue-isolation
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2026-08-25 18:14:52 +03:00
m 6a2ed287ba Keep flight formatting within task scope
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2026-08-25 18:12:39 +03:00
m d342728b46 Improve nearest flight research answers
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2026-08-25 18:12:13 +03:00
m f121445f24 Preserve media failures and enrich nearest flight searches
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2026-08-25 18:08:48 +03:00
m 124871da76 Cancel only the owned ComfyUI prompt
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2026-08-25 18:02:59 +03:00
m 2062094228 Merge pull request 'Route creative image requests to media generation' (#362) from codex/household-scenario-audit into main
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Reviewed-on: #362
2026-08-25 14:42:39 +00:00
m 515c9713e9 Merge remote-tracking branch 'origin/main' into codex/household-scenario-audit
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2026-08-25 17:36:53 +03:00
m 14c5d9e412 Route creative image requests to media generation
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2026-08-25 17:34:05 +03:00
m 8e9429e5d0 Merge pull request 'Bind ComfyUI image provider in production' (#361) from codex/household-scenario-audit into main
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Reviewed-on: #361
2026-08-25 14:24:00 +00:00
m 6cb125001f Bind ComfyUI image provider in production
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2026-08-25 17:14:44 +03:00
m 1e7cf68317 Merge pull request 'Add ComfyUI image generation adapter' (#360) from codex/household-scenario-audit into main
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Reviewed-on: #360
2026-08-25 14:08:23 +00:00
m 2f6f6fb026 Add ComfyUI image generation adapter
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2026-08-25 17:01:55 +03:00
m 4618a392e2 Merge pull request 'Add replaceable image and video media routes' (#359) from codex/household-scenario-audit into main
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Reviewed-on: #359
2026-08-25 13:37:28 +00:00
m cdcbd50fe7 Test degraded media capability routing
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2026-08-25 16:14:28 +03:00
m 8260e69dfe Add replaceable image and video media routes
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2026-08-25 16:12:33 +03:00
m cd8ba740de Merge pull request 'Add replaceable image and video capability contracts' (#358) from codex/household-scenario-audit into main
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Merge PR #358
2026-08-25 13:05:36 +00:00
m 8173b8f9d6 Define replaceable image and video capabilities
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2026-08-25 16:01:22 +03:00
m 7d5b91fbe9 Merge pull request 'Route creative requests through cognition' (#357) from codex/household-scenario-audit into main
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Merge PR #357
2026-08-25 12:47:09 +00:00
m f9e50eba70 Remove canned creative fallback content
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2026-08-25 15:43:23 +03:00
m 29e17f1ac8 Remove canned creative object replies
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2026-08-25 15:40:29 +03:00
m ae8bf68d73 Merge pull request 'Add local horse creative fallback' (#356) from codex/household-scenario-audit into main
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Merge PR #356
2026-08-25 12:33:13 +00:00
m af146c507e Add local horse drawing fallback
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2026-08-25 15:29:25 +03:00
m 7ad7a2c8ba Merge pull request 'Add household route boundary matrix' (#355) from codex/household-scenario-audit into main
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Merge PR #355
2026-08-25 12:27:16 +00:00
m 8885a66883 Add household route boundary matrix
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2026-08-25 15:24:05 +03:00
m 2b40471e08 Merge pull request 'Add local bird creative fallback' (#354) from codex/household-scenario-audit into main
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Merge PR #354
2026-08-25 12:22:05 +00:00
m 22253caf2d Add local bird drawing fallback
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2026-08-25 15:19:03 +03:00
m f8387180eb Merge pull request 'Isolate non-travel household requests' (#353) from codex/household-scenario-audit into main
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Merge PR #353
2026-08-25 12:16:45 +00:00
m 288643f0da Cover cross-context household requests
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2026-08-25 15:13:03 +03:00
m 0662dbbb01 Merge pull request 'Expand semantic decomposition checks' (#352) from codex/household-scenario-audit into main
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Merge PR #352
2026-08-25 12:08:40 +00:00
m 1a8934f88b Keep creative requests out of travel continuation
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2026-08-25 15:04:39 +03:00
m 4cac361762 Use matched alias for task target
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2026-08-25 15:01:18 +03:00
m 515cabb5cf Expand semantic memory decomposition checks 2026-08-25 15:01:17 +03:00
m 5efa6176bb Merge pull request 'Route marketplace search and bear drawing' (#351) from codex/household-scenario-audit into main
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Merge PR #351
2026-08-25 11:55:30 +00:00
m 3515a483ca Fix generic creative target extraction
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2026-08-25 14:49:01 +03:00
m ca45df3c62 Load task aliases from semantic memory
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2026-08-25 14:48:32 +03:00
m c94a96c47e Decompose household tasks into typed atoms
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2026-08-25 14:46:43 +03:00
m 745d8b0c4d Route marketplace search and bear drawing 2026-08-25 14:46:43 +03:00
m ddc4d3bc90 Merge pull request 'Reject identity boilerplate over creative fallback' (#350) from codex/household-scenario-audit into main
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Merge PR #350
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m 906d71b35f Reject identity boilerplate over creative fallback
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2026-08-25 14:02:42 +03:00
m beddb78469 Merge pull request 'Preserve creative fallback over conversational reflex' (#349) from codex/household-scenario-audit into main
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Merge PR #349
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m fb968502ba Preserve creative fallback over conversational reflex
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2026-08-25 13:54:14 +03:00
m 643ce34cff Merge pull request 'Keep useful creative fallback replies' (#348) from codex/household-scenario-audit into main
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Merge PR #348
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m cc08fb3d08 Keep useful creative fallback replies
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2026-08-25 13:45:01 +03:00
m f3bab3177d Merge pull request 'Humanize web research replies' (#347) from codex/household-scenario-audit into main
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Merge PR #347
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m e79302c915 Humanize web research replies
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m d2f55bf0be Merge pull request 'Preserve assistant name in cognitive context' (#346) from codex/household-scenario-audit into main
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Merge PR #346
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m c0208de111 Preserve assistant name in cognitive context
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m 56cd297ca3 Merge pull request 'Handle reasoning-only vision responses' (#345) from codex/household-scenario-audit into main
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Merge PR #345
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m 5594525893 Handle reasoning-only vision responses
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m f91613b5d2 Merge pull request 'Add local speech, vision and OCR chat skills' (#344) from codex/household-scenario-audit into main
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m 78e7e3fedc Add local speech and vision chat skills
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2026-08-25 12:26:41 +03:00
m df017a349a Merge pull request 'Improve degraded household replies and route tests' (#343) from codex/household-scenario-audit into main
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m 8124fcbcc3 Improve degraded household replies
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m 8658db537d Merge pull request 'Add household scenario audit plan' (#342) from codex/household-scenario-audit into main
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m bd382243a0 Add household scenario audit plan
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m d0057f1873 Merge pull request 'Use local creative fallback when cognition is unavailable' (#341) from codex/creative-chat-routing into main
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Use local creative fallback when cognition is unavailable
2026-08-25 08:49:57 +00:00
34 changed files with 2209 additions and 66 deletions
+509
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package multimodal
import (
"bytes"
"context"
"encoding/base64"
"encoding/json"
"errors"
"fmt"
"io"
"log"
"mime/multipart"
"net/http"
"net/textproto"
"net/url"
"strings"
"time"
)
var ErrEmptyResult = errors.New("multimodal provider returned an empty result")
type SpeechClient struct {
BaseURL string
Client *http.Client
}
type VisionClient struct {
BaseURL string
Client *http.Client
}
type ImageGenerationClient struct {
BaseURL string
Client *http.Client
}
type VideoUnderstandingClient struct {
BaseURL string
Client *http.Client
}
type GeneratedImage struct {
DataBase64 string
SourceURL string
ContentType string
}
type ImageGenerator interface {
Generate(ctx context.Context, model, prompt, size string) (GeneratedImage, error)
}
// ComfyImageGenerationClient is the replaceable transport for a ComfyUI
// image-generation skill. The workflow is deliberately kept in this adapter:
// the core only selects a capability and supplies the user's prompt.
type ComfyImageGenerationClient struct {
BaseURL string
Client *http.Client
PollInterval time.Duration
PollTimeout time.Duration
}
func (c SpeechClient) Transcribe(ctx context.Context, filename, contentType string, data []byte) (string, error) {
if len(data) == 0 {
return "", errors.New("audio payload is empty")
}
body := &bytes.Buffer{}
writer := multipart.NewWriter(body)
header := make(textproto.MIMEHeader)
header.Set("Content-Disposition", fmt.Sprintf(`form-data; name="file"; filename="%s"`, strings.ReplaceAll(filename, `"`, "")))
header.Set("Content-Type", contentType)
part, err := writer.CreatePart(header)
if err != nil {
return "", err
}
if _, err := part.Write(data); err != nil {
return "", err
}
if err := writer.WriteField("response_format", "json"); err != nil {
return "", err
}
if err := writer.Close(); err != nil {
return "", err
}
request, err := http.NewRequestWithContext(ctx, http.MethodPost, strings.TrimRight(c.BaseURL, "/")+"/inference", body)
if err != nil {
return "", err
}
request.Header.Set("Content-Type", writer.FormDataContentType())
response, err := c.client().Do(request)
if err != nil {
return "", err
}
defer response.Body.Close()
if response.StatusCode != http.StatusOK {
return "", fmt.Errorf("speech provider status %d", response.StatusCode)
}
var result struct {
Text string `json:"text"`
}
if err := json.NewDecoder(io.LimitReader(response.Body, 1<<20)).Decode(&result); err != nil {
return "", err
}
if strings.TrimSpace(result.Text) == "" {
return "", ErrEmptyResult
}
return strings.TrimSpace(result.Text), nil
}
func (c VisionClient) Describe(ctx context.Context, model, contentType string, data []byte, instruction string) (string, error) {
if len(data) == 0 {
return "", errors.New("image payload is empty")
}
payload := struct {
Model string `json:"model"`
Messages []struct {
Role string `json:"role"`
Content []struct {
Type string `json:"type"`
Text string `json:"text,omitempty"`
ImageURL *struct {
URL string `json:"url"`
} `json:"image_url,omitempty"`
} `json:"content"`
} `json:"messages"`
MaxTokens int `json:"max_tokens"`
}{}
payload.Model = model
payload.MaxTokens = 1024
payload.Messages = append(payload.Messages, struct {
Role string `json:"role"`
Content []struct {
Type string `json:"type"`
Text string `json:"text,omitempty"`
ImageURL *struct {
URL string `json:"url"`
} `json:"image_url,omitempty"`
} `json:"content"`
}{Role: "user", Content: []struct {
Type string `json:"type"`
Text string `json:"text,omitempty"`
ImageURL *struct {
URL string `json:"url"`
} `json:"image_url,omitempty"`
}{
{Type: "text", Text: instruction},
{Type: "image_url", ImageURL: &struct {
URL string `json:"url"`
}{URL: "data:" + contentType + ";base64," + encodeBase64(data)},
}}})
encoded, err := json.Marshal(payload)
if err != nil {
return "", err
}
request, err := http.NewRequestWithContext(ctx, http.MethodPost, strings.TrimRight(c.BaseURL, "/")+"/chat/completions", bytes.NewReader(encoded))
if err != nil {
return "", err
}
request.Header.Set("Content-Type", "application/json")
response, err := c.client().Do(request)
if err != nil {
return "", err
}
defer response.Body.Close()
if response.StatusCode != http.StatusOK {
return "", fmt.Errorf("vision provider status %d", response.StatusCode)
}
var result struct {
Choices []struct {
Message struct {
Content string `json:"content"`
ReasoningContent string `json:"reasoning_content"`
} `json:"message"`
} `json:"choices"`
}
if err := json.NewDecoder(io.LimitReader(response.Body, 2<<20)).Decode(&result); err != nil {
return "", err
}
if len(result.Choices) == 0 {
return "", ErrEmptyResult
}
text := strings.TrimSpace(result.Choices[0].Message.Content)
if text == "" {
text = strings.TrimSpace(result.Choices[0].Message.ReasoningContent)
}
if text == "" {
return "", ErrEmptyResult
}
return text, nil
}
// Generate uses an OpenAI-compatible image-generation skill. The provider is
// selected outside the core by the capability binding; this adapter contains
// transport only and never decides what the user meant.
func (c ImageGenerationClient) Generate(ctx context.Context, model, prompt, size string) (GeneratedImage, error) {
if strings.TrimSpace(prompt) == "" {
return GeneratedImage{}, errors.New("image prompt is empty")
}
payload := struct {
Model string `json:"model"`
Prompt string `json:"prompt"`
Size string `json:"size,omitempty"`
ResponseFormat string `json:"response_format,omitempty"`
}{Model: model, Prompt: prompt, Size: size, ResponseFormat: "b64_json"}
encoded, err := json.Marshal(payload)
if err != nil {
return GeneratedImage{}, err
}
request, err := http.NewRequestWithContext(ctx, http.MethodPost, strings.TrimRight(c.BaseURL, "/")+"/images/generations", bytes.NewReader(encoded))
if err != nil {
return GeneratedImage{}, err
}
request.Header.Set("Content-Type", "application/json")
response, err := c.client().Do(request)
if err != nil {
return GeneratedImage{}, err
}
defer response.Body.Close()
if response.StatusCode < 200 || response.StatusCode > 299 {
return GeneratedImage{}, fmt.Errorf("image provider status %d", response.StatusCode)
}
var result struct {
Data []struct {
Base64 string `json:"b64_json"`
URL string `json:"url"`
} `json:"data"`
}
if err := json.NewDecoder(io.LimitReader(response.Body, 32<<20)).Decode(&result); err != nil {
return GeneratedImage{}, err
}
if len(result.Data) == 0 || (strings.TrimSpace(result.Data[0].Base64) == "" && strings.TrimSpace(result.Data[0].URL) == "") {
return GeneratedImage{}, ErrEmptyResult
}
return GeneratedImage{DataBase64: result.Data[0].Base64, SourceURL: result.Data[0].URL, ContentType: "image/png"}, nil
}
func (c ComfyImageGenerationClient) Generate(ctx context.Context, model, prompt, size string) (GeneratedImage, error) {
if strings.TrimSpace(prompt) == "" {
return GeneratedImage{}, errors.New("image prompt is empty")
}
width, height := imageSize(size)
workflow := map[string]any{
"3": map[string]any{"inputs": map[string]any{"seed": time.Now().UnixNano(), "steps": 8, "cfg": 1.0, "sampler_name": "euler", "scheduler": "simple", "denoise": 1.0, "model": []any{"16", 0}, "positive": []any{"6", 0}, "negative": []any{"7", 0}, "latent_image": []any{"13", 0}}, "class_type": "KSampler"},
"6": map[string]any{"inputs": map[string]any{"text": prompt, "clip": []any{"18", 0}}, "class_type": "CLIPTextEncode"},
"7": map[string]any{"inputs": map[string]any{"text": "blurry, ugly, distorted", "clip": []any{"18", 0}}, "class_type": "CLIPTextEncode"},
"8": map[string]any{"inputs": map[string]any{"samples": []any{"3", 0}, "vae": []any{"17", 0}}, "class_type": "VAEDecode"},
"9": map[string]any{"inputs": map[string]any{"filename_prefix": "domovoy", "images": []any{"8", 0}}, "class_type": "SaveImage"},
"13": map[string]any{"inputs": map[string]any{"width": width, "height": height, "batch_size": 1}, "class_type": "EmptySD3LatentImage"},
"16": map[string]any{"inputs": map[string]any{"unet_name": "z_image_turbo_bf16.safetensors", "weight_dtype": "default"}, "class_type": "UNETLoader"},
"17": map[string]any{"inputs": map[string]any{"vae_name": "ae.safetensors"}, "class_type": "VAELoader"},
"18": map[string]any{"inputs": map[string]any{"clip_name": "qwen_3_4b.safetensors", "type": "lumina2", "device": "default"}, "class_type": "CLIPLoader"},
}
payload := map[string]any{"prompt": workflow, "client_id": fmt.Sprintf("domovoy-%d", time.Now().UnixNano())}
encoded, err := json.Marshal(payload)
if err != nil {
return GeneratedImage{}, err
}
request, err := http.NewRequestWithContext(ctx, http.MethodPost, strings.TrimRight(c.BaseURL, "/")+"/prompt", bytes.NewReader(encoded))
if err != nil {
return GeneratedImage{}, err
}
request.Header.Set("Content-Type", "application/json")
response, err := c.client().Do(request)
if err != nil {
return GeneratedImage{}, err
}
defer response.Body.Close()
if response.StatusCode < 200 || response.StatusCode > 299 {
return GeneratedImage{}, fmt.Errorf("comfy provider status %d", response.StatusCode)
}
var accepted struct {
PromptID string `json:"prompt_id"`
}
if err := json.NewDecoder(io.LimitReader(response.Body, 1<<20)).Decode(&accepted); err != nil {
return GeneratedImage{}, err
}
if accepted.PromptID == "" {
return GeneratedImage{}, ErrEmptyResult
}
// A caller timeout must remove only this prompt. ComfyUI's global
// /interrupt endpoint can otherwise stop unrelated users' work and leave
// queued requests in an ambiguous state.
defer func() {
if ctx.Err() != nil {
cancelCtx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()
if err := c.cancelPrompt(cancelCtx, accepted.PromptID); err != nil {
// The original context error is more useful to the caller; the
// provider cleanup failure remains observable in the server log.
log.Printf("comfy prompt cleanup failed for %s: %v", accepted.PromptID, err)
}
}
}()
interval := c.PollInterval
if interval <= 0 {
interval = time.Second
}
timeout := c.PollTimeout
if timeout <= 0 {
timeout = 10 * time.Minute
}
deadline := time.NewTimer(timeout)
defer deadline.Stop()
ticker := time.NewTicker(interval)
defer ticker.Stop()
for {
image, done, err := c.historyImage(ctx, accepted.PromptID)
if err != nil {
return GeneratedImage{}, err
}
if done {
return image, nil
}
select {
case <-ctx.Done():
return GeneratedImage{}, ctx.Err()
case <-deadline.C:
return GeneratedImage{}, context.DeadlineExceeded
case <-ticker.C:
}
}
}
func (c ComfyImageGenerationClient) cancelPrompt(ctx context.Context, promptID string) error {
if strings.TrimSpace(promptID) == "" {
return errors.New("comfy prompt id is empty")
}
payload, err := json.Marshal(map[string][]string{"delete": {promptID}})
if err != nil {
return err
}
request, err := http.NewRequestWithContext(ctx, http.MethodPost, strings.TrimRight(c.BaseURL, "/")+"/queue", bytes.NewReader(payload))
if err != nil {
return err
}
request.Header.Set("Content-Type", "application/json")
response, err := c.client().Do(request)
if err != nil {
return err
}
defer response.Body.Close()
if response.StatusCode < 200 || response.StatusCode > 299 {
return fmt.Errorf("comfy prompt cleanup status %d", response.StatusCode)
}
return nil
}
func (c ComfyImageGenerationClient) historyImage(ctx context.Context, promptID string) (GeneratedImage, bool, error) {
request, err := http.NewRequestWithContext(ctx, http.MethodGet, strings.TrimRight(c.BaseURL, "/")+"/history/"+url.PathEscape(promptID), nil)
if err != nil {
return GeneratedImage{}, false, err
}
response, err := c.client().Do(request)
if err != nil {
return GeneratedImage{}, false, err
}
defer response.Body.Close()
if response.StatusCode == http.StatusNotFound {
return GeneratedImage{}, false, nil
}
if response.StatusCode < 200 || response.StatusCode > 299 {
return GeneratedImage{}, false, fmt.Errorf("comfy history status %d", response.StatusCode)
}
var history map[string]struct {
Outputs map[string]struct {
Images []struct {
Filename string `json:"filename"`
Subfolder string `json:"subfolder"`
Type string `json:"type"`
} `json:"images"`
} `json:"outputs"`
}
if err := json.NewDecoder(io.LimitReader(response.Body, 4<<20)).Decode(&history); err != nil {
return GeneratedImage{}, false, err
}
record, ok := history[promptID]
if !ok {
return GeneratedImage{}, false, nil
}
for _, output := range record.Outputs {
for _, image := range output.Images {
if image.Filename == "" {
continue
}
query := url.Values{"filename": {image.Filename}, "subfolder": {image.Subfolder}, "type": {image.Type}}
imageRequest, err := http.NewRequestWithContext(ctx, http.MethodGet, strings.TrimRight(c.BaseURL, "/")+"/view?"+query.Encode(), nil)
if err != nil {
return GeneratedImage{}, false, err
}
imageResponse, err := c.client().Do(imageRequest)
if err != nil {
return GeneratedImage{}, false, err
}
data, readErr := io.ReadAll(io.LimitReader(imageResponse.Body, 32<<20))
imageResponse.Body.Close()
if readErr != nil {
return GeneratedImage{}, false, readErr
}
if imageResponse.StatusCode < 200 || imageResponse.StatusCode > 299 || len(data) == 0 {
return GeneratedImage{}, false, ErrEmptyResult
}
contentType := imageResponse.Header.Get("Content-Type")
if contentType == "" {
contentType = "image/png"
}
return GeneratedImage{DataBase64: encodeBase64(data), ContentType: contentType}, true, nil
}
}
return GeneratedImage{}, true, ErrEmptyResult
}
func imageSize(size string) (int, int) {
parts := strings.Split(strings.TrimSpace(size), "x")
if len(parts) == 2 {
var width, height int
if _, err := fmt.Sscanf(size, "%dx%d", &width, &height); err == nil && width >= 256 && height >= 256 && width <= 2048 && height <= 2048 {
return width, height
}
}
return 512, 512
}
// Describe accepts a video skill endpoint that performs its own bounded frame
// sampling. Frame extraction is provider-owned so the core does not acquire a
// media-processing dependency or hide a policy in orchestration code.
func (c VideoUnderstandingClient) Describe(ctx context.Context, model, filename, contentType string, data []byte, instruction string) (string, error) {
if len(data) == 0 {
return "", errors.New("video payload is empty")
}
body := &bytes.Buffer{}
writer := multipart.NewWriter(body)
header := make(textproto.MIMEHeader)
header.Set("Content-Disposition", fmt.Sprintf(`form-data; name="file"; filename="%s"`, strings.ReplaceAll(filename, `"`, "")))
header.Set("Content-Type", contentType)
part, err := writer.CreatePart(header)
if err != nil {
return "", err
}
if _, err := part.Write(data); err != nil {
return "", err
}
_ = writer.WriteField("model", model)
_ = writer.WriteField("instruction", instruction)
if err := writer.Close(); err != nil {
return "", err
}
request, err := http.NewRequestWithContext(ctx, http.MethodPost, strings.TrimRight(c.BaseURL, "/")+"/understand", body)
if err != nil {
return "", err
}
request.Header.Set("Content-Type", writer.FormDataContentType())
response, err := c.client().Do(request)
if err != nil {
return "", err
}
defer response.Body.Close()
if response.StatusCode < 200 || response.StatusCode > 299 {
return "", fmt.Errorf("video provider status %d", response.StatusCode)
}
var result struct {
Text string `json:"text"`
}
if err := json.NewDecoder(io.LimitReader(response.Body, 2<<20)).Decode(&result); err != nil {
return "", err
}
if strings.TrimSpace(result.Text) == "" {
return "", ErrEmptyResult
}
return strings.TrimSpace(result.Text), nil
}
func (c SpeechClient) client() *http.Client {
if c.Client != nil {
return c.Client
}
return http.DefaultClient
}
func (c VisionClient) client() *http.Client {
if c.Client != nil {
return c.Client
}
return http.DefaultClient
}
func (c ImageGenerationClient) client() *http.Client {
if c.Client != nil {
return c.Client
}
return http.DefaultClient
}
func (c ComfyImageGenerationClient) client() *http.Client {
if c.Client != nil {
return c.Client
}
return http.DefaultClient
}
func (c VideoUnderstandingClient) client() *http.Client {
if c.Client != nil {
return c.Client
}
return http.DefaultClient
}
func encodeBase64(data []byte) string {
return base64.StdEncoding.EncodeToString(data)
}
+209
View File
@@ -0,0 +1,209 @@
package multimodal
import (
"context"
"encoding/json"
"errors"
"io"
"net/http"
"net/http/httptest"
"strings"
"testing"
"time"
)
func TestSpeechClientSendsMultipartAndReturnsTranscript(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/inference" || r.Method != http.MethodPost {
t.Fatalf("unexpected speech request: %s %s", r.Method, r.URL.Path)
}
if err := r.ParseMultipartForm(1 << 20); err != nil {
t.Fatal(err)
}
file, _, err := r.FormFile("file")
if err != nil {
t.Fatal(err)
}
defer file.Close()
data, _ := io.ReadAll(file)
if string(data) != "audio" {
t.Fatalf("audio payload = %q", data)
}
_ = json.NewEncoder(w).Encode(map[string]string{"text": "распознанная фраза"})
}))
defer server.Close()
text, err := (SpeechClient{BaseURL: server.URL, Client: server.Client()}).Transcribe(context.Background(), "voice.wav", "audio/wav", []byte("audio"))
if err != nil || text != "распознанная фраза" {
t.Fatalf("transcript=%q err=%v", text, err)
}
}
func TestVisionClientSendsImageDataAndInstruction(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
var payload struct {
Messages []struct {
Content []struct {
Type string `json:"type"`
Text string `json:"text"`
ImageURL *struct {
URL string `json:"url"`
} `json:"image_url"`
} `json:"content"`
} `json:"messages"`
}
if err := json.NewDecoder(r.Body).Decode(&payload); err != nil {
t.Fatal(err)
}
if len(payload.Messages) != 1 || len(payload.Messages[0].Content) != 2 || !strings.Contains(payload.Messages[0].Content[0].Text, "Опиши") || payload.Messages[0].Content[1].ImageURL == nil || !strings.HasPrefix(payload.Messages[0].Content[1].ImageURL.URL, "data:image/png;base64,") {
t.Fatalf("unexpected vision payload: %+v", payload)
}
_ = json.NewEncoder(w).Encode(map[string]any{"choices": []any{map[string]any{"message": map[string]string{"content": "на изображении круг"}}}})
}))
defer server.Close()
text, err := (VisionClient{BaseURL: server.URL + "/v1", Client: server.Client()}).Describe(context.Background(), "vision-model", "image/png", []byte{0, 1, 2}, "Опиши изображение")
if err != nil || text != "на изображении круг" {
t.Fatalf("description=%q err=%v", text, err)
}
}
func TestVisionClientUsesReasoningContentWhenProviderOmitsContent(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
_ = json.NewEncoder(w).Encode(map[string]any{"choices": []any{map[string]any{
"message": map[string]string{"content": "", "reasoning_content": "чёрный квадрат"},
}}})
}))
defer server.Close()
text, err := (VisionClient{BaseURL: server.URL, Client: server.Client()}).Describe(context.Background(), "vision-model", "image/png", []byte("image"), "Опиши изображение")
if err != nil || text != "чёрный квадрат" {
t.Fatalf("description=%q err=%v", text, err)
}
}
func TestImageGenerationClientSendsPromptAndReturnsBase64(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/images/generations" || r.Method != http.MethodPost {
t.Fatalf("unexpected image request: %s %s", r.Method, r.URL.Path)
}
var payload struct {
Model string `json:"model"`
Prompt string `json:"prompt"`
Size string `json:"size"`
}
if err := json.NewDecoder(r.Body).Decode(&payload); err != nil {
t.Fatal(err)
}
if payload.Model != "image-model" || payload.Prompt != "green bird" || payload.Size != "1024x1024" {
t.Fatalf("unexpected image payload: %+v", payload)
}
_ = json.NewEncoder(w).Encode(map[string]any{"data": []any{map[string]string{"b64_json": "aW1hZ2U="}}})
}))
defer server.Close()
image, err := (ImageGenerationClient{BaseURL: server.URL, Client: server.Client()}).Generate(context.Background(), "image-model", "green bird", "1024x1024")
if err != nil || image.DataBase64 != "aW1hZ2U=" || image.ContentType != "image/png" {
t.Fatalf("image=%+v err=%v", image, err)
}
}
func TestVideoUnderstandingClientSendsMultipartAndReturnsDescription(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/understand" || r.Method != http.MethodPost {
t.Fatalf("unexpected video request: %s %s", r.Method, r.URL.Path)
}
if err := r.ParseMultipartForm(1 << 20); err != nil {
t.Fatal(err)
}
if r.FormValue("model") != "video-model" || r.FormValue("instruction") != "describe movement" {
t.Fatalf("unexpected video fields: model=%q instruction=%q", r.FormValue("model"), r.FormValue("instruction"))
}
file, _, err := r.FormFile("file")
if err != nil {
t.Fatal(err)
}
defer file.Close()
data, _ := io.ReadAll(file)
if string(data) != "video" {
t.Fatalf("video payload=%q", data)
}
_ = json.NewEncoder(w).Encode(map[string]string{"text": "человек идёт"})
}))
defer server.Close()
text, err := (VideoUnderstandingClient{BaseURL: server.URL, Client: server.Client()}).Describe(context.Background(), "video-model", "clip.mp4", "video/mp4", []byte("video"), "describe movement")
if err != nil || text != "человек идёт" {
t.Fatalf("description=%q err=%v", text, err)
}
}
func TestComfyImageGenerationClientRunsWorkflowAndReturnsImage(t *testing.T) {
polls := 0
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
switch r.URL.Path {
case "/prompt":
var payload struct {
Prompt map[string]any `json:"prompt"`
}
if err := json.NewDecoder(r.Body).Decode(&payload); err != nil {
t.Fatal(err)
}
if payload.Prompt["6"].(map[string]any)["inputs"].(map[string]any)["text"] != "red bird" {
t.Fatalf("prompt was not forwarded: %+v", payload.Prompt["6"])
}
_ = json.NewEncoder(w).Encode(map[string]string{"prompt_id": "test-prompt"})
case "/history/test-prompt":
polls++
if polls == 1 {
_, _ = w.Write([]byte(`{}`))
return
}
_ = json.NewEncoder(w).Encode(map[string]any{"test-prompt": map[string]any{"outputs": map[string]any{"9": map[string]any{"images": []any{map[string]string{"filename": "out.png", "subfolder": "", "type": "output"}}}}}})
case "/view":
w.Header().Set("Content-Type", "image/png")
_, _ = w.Write([]byte("png"))
default:
http.NotFound(w, r)
}
}))
defer server.Close()
image, err := (ComfyImageGenerationClient{BaseURL: server.URL, Client: server.Client(), PollInterval: time.Millisecond, PollTimeout: time.Second}).Generate(context.Background(), "", "red bird", "256x256")
if err != nil || image.DataBase64 != "cG5n" || image.ContentType != "image/png" {
t.Fatalf("image=%+v err=%v", image, err)
}
}
func TestComfyImageGenerationClientDeletesOnlyCancelledPrompt(t *testing.T) {
var deleted []string
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
switch r.URL.Path {
case "/prompt":
_ = json.NewEncoder(w).Encode(map[string]string{"prompt_id": "cancel-me"})
case "/history/cancel-me":
<-r.Context().Done()
case "/queue":
var payload struct {
Delete []string `json:"delete"`
}
if err := json.NewDecoder(r.Body).Decode(&payload); err != nil {
t.Fatal(err)
}
deleted = append(deleted, payload.Delete...)
w.WriteHeader(http.StatusNoContent)
default:
http.NotFound(w, r)
}
}))
defer server.Close()
ctx, cancel := context.WithCancel(context.Background())
done := make(chan error, 1)
go func() {
_, err := (ComfyImageGenerationClient{BaseURL: server.URL, Client: server.Client(), PollInterval: time.Millisecond, PollTimeout: time.Minute}).Generate(ctx, "", "red bird", "256x256")
done <- err
}()
time.Sleep(10 * time.Millisecond)
cancel()
if err := <-done; !errors.Is(err, context.Canceled) {
t.Fatalf("err=%v", err)
}
if len(deleted) != 1 || deleted[0] != "cancel-me" {
t.Fatalf("deleted=%v", deleted)
}
}
+21
View File
@@ -7,6 +7,7 @@ import (
"errors"
"fmt"
"git.cin.su/m/Assistant/adapters/models"
"git.cin.su/m/Assistant/adapters/multimodal"
"git.cin.su/m/Assistant/contracts/capability"
"git.cin.su/m/Assistant/contracts/cognitive"
"git.cin.su/m/Assistant/contracts/identity"
@@ -170,6 +171,26 @@ func main() {
mux.HandleFunc("POST /v1/advisories", gateway.advisoryHandler)
mux.HandleFunc("POST /v1/interpretations", gateway.interpretationHandler)
mux.HandleFunc("POST /v1/task-evaluations/execute", gateway.taskEvaluationHandler)
imageGenerator := multimodal.ImageGenerator(multimodal.ImageGenerationClient{BaseURL: os.Getenv("LOCAL_IMAGE_PROVIDER_URL"), Client: &http.Client{Timeout: 300 * time.Second}})
if strings.EqualFold(strings.TrimSpace(os.Getenv("LOCAL_IMAGE_PROVIDER_KIND")), "comfyui") {
imageGenerator = multimodal.ComfyImageGenerationClient{BaseURL: os.Getenv("LOCAL_IMAGE_PROVIDER_URL"), Client: &http.Client{Timeout: 300 * time.Second}, PollTimeout: 15 * time.Minute}
}
multimodalGateway := multimodalGateway{
speech: multimodal.SpeechClient{BaseURL: envOr("LOCAL_SPEECH_PROVIDER_URL", "http://llm-local-speech:8080"), Client: &http.Client{Timeout: 120 * time.Second}},
vision: multimodal.VisionClient{BaseURL: envOr("LOCAL_VISION_PROVIDER_URL", "http://llm-local-vision:8080/v1"), Client: &http.Client{Timeout: 180 * time.Second}},
imageGenerator: imageGenerator,
imageProviderURL: os.Getenv("LOCAL_IMAGE_PROVIDER_URL"),
video: multimodal.VideoUnderstandingClient{BaseURL: os.Getenv("LOCAL_VIDEO_PROVIDER_URL"), Client: &http.Client{Timeout: 300 * time.Second}},
model: envOr("LOCAL_VISION_MODEL", "/models/gemma-4-26B-A4B-it-UD-Q4_K_M.gguf"),
imageModel: os.Getenv("LOCAL_IMAGE_MODEL"),
videoModel: os.Getenv("LOCAL_VIDEO_MODEL"),
now: time.Now,
}
mux.HandleFunc("POST /v1/multimodal/transcribe", multimodalGateway.handler(capability.MultimodalTranscribe))
mux.HandleFunc("POST /v1/multimodal/understand", multimodalGateway.handler(capability.MultimodalUnderstand))
mux.HandleFunc("POST /v1/multimodal/ocr", multimodalGateway.handler(capability.MultimodalRecognizeOCR))
mux.HandleFunc("POST /v1/multimodal/video-understand", multimodalGateway.handler(capability.MultimodalUnderstandVideo))
mux.HandleFunc("POST /v1/multimodal/generate-image", multimodalGateway.handler(capability.MultimodalGenerateImage))
discovery := discoveryService{resolver: resolver, providers: discoveries, owner: identity.PrincipalID(envOr("COGNITIVE_OWNER_PRINCIPAL_ID", "domovoy-creator-principal")), now: time.Now}
mux.HandleFunc("POST /v1/provider-discovery/{provider}", discovery.handler)
mux.Handle("POST /v1/provider-discovery/{provider}/qualify", modelQualificationHandler(discoveries, string(envOr("COGNITIVE_OWNER_PRINCIPAL_ID", "domovoy-creator-principal")), httpQualificationObserver{resolver: resolver}))
+102
View File
@@ -0,0 +1,102 @@
package main
import (
"encoding/json"
"io"
"log"
"net/http"
"strings"
"time"
"git.cin.su/m/Assistant/adapters/multimodal"
"git.cin.su/m/Assistant/contracts/capability"
)
const maxMultimodalUploadBytes = 12 << 20
type multimodalGateway struct {
speech multimodal.SpeechClient
vision multimodal.VisionClient
imageGenerator multimodal.ImageGenerator
imageProviderURL string
video multimodal.VideoUnderstandingClient
model string
imageModel string
videoModel string
now func() time.Time
}
func (g multimodalGateway) handler(operation capability.MultimodalOperation) http.HandlerFunc {
return func(w http.ResponseWriter, r *http.Request) {
r.Body = http.MaxBytesReader(w, r.Body, maxMultimodalUploadBytes)
if err := r.ParseMultipartForm(maxMultimodalUploadBytes); err != nil {
http.Error(w, "media upload is too large or invalid", http.StatusRequestEntityTooLarge)
return
}
if operation == capability.MultimodalGenerateImage {
if strings.TrimSpace(g.imageProviderURL) == "" {
http.Error(w, "local image generation capability unavailable", http.StatusBadGateway)
return
}
image, err := g.imageGenerator.Generate(r.Context(), g.imageModel, r.FormValue("prompt"), r.FormValue("size"))
if err != nil || strings.TrimSpace(image.DataBase64) == "" {
logMultimodalFailure(operation, err)
http.Error(w, "local image generation capability unavailable", http.StatusBadGateway)
return
}
result := capability.MultimodalResponse{Operation: operation, Provider: "local-image-generator", ObservedAt: g.now().UnixMilli(), ContentType: image.ContentType, DataBase64: image.DataBase64}
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(result)
return
}
file, header, err := r.FormFile("file")
if err != nil {
http.Error(w, "media file is required", http.StatusBadRequest)
return
}
defer file.Close()
data, err := io.ReadAll(io.LimitReader(file, maxMultimodalUploadBytes+1))
if err != nil || len(data) == 0 || len(data) > maxMultimodalUploadBytes {
http.Error(w, "media file is invalid", http.StatusBadRequest)
return
}
contentType := header.Header.Get("Content-Type")
if contentType == "" {
contentType = "application/octet-stream"
}
var text string
if operation == capability.MultimodalTranscribe {
text, err = g.speech.Transcribe(r.Context(), header.Filename, contentType, data)
} else if operation == capability.MultimodalUnderstandVideo {
if strings.TrimSpace(g.video.BaseURL) == "" {
http.Error(w, "local video understanding capability unavailable", http.StatusBadGateway)
return
}
text, err = g.video.Describe(r.Context(), g.videoModel, header.Filename, contentType, data, r.FormValue("instruction"))
} else {
instruction := "Опиши, что изображено на фотографии, коротко и по существу. Не выдумывай нечитаемые детали."
if operation == capability.MultimodalRecognizeOCR {
instruction = "Точно распознай весь читаемый текст на изображении. Сохрани строки и символы; нечитаемые места обозначь как [неразборчиво]. Не добавляй пояснений."
}
text, err = g.vision.Describe(r.Context(), g.model, contentType, data, instruction)
}
if err != nil {
logMultimodalFailure(operation, err)
http.Error(w, "local media capability unavailable", http.StatusBadGateway)
return
}
result := capability.MultimodalResponse{Operation: operation, Text: strings.TrimSpace(text), ObservedAt: g.now().UnixMilli(), ConfidenceNote: "Результат получен локальным специализированным сервисом; нечитаемые или неоднозначные фрагменты требуют проверки."}
if operation == capability.MultimodalTranscribe {
result.Provider = "local-whisper"
} else {
result.Provider = "local-vision"
}
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(result)
}
}
func logMultimodalFailure(operation capability.MultimodalOperation, err error) {
// Keep provider details in server diagnostics; never return them to chat.
log.Printf("multimodal operation %s failed: %v", operation, err)
}
+75
View File
@@ -0,0 +1,75 @@
package main
import (
"bytes"
"context"
"encoding/json"
"mime/multipart"
"net/http"
"net/http/httptest"
"testing"
"time"
"git.cin.su/m/Assistant/adapters/multimodal"
"git.cin.su/m/Assistant/contracts/capability"
)
func TestMultimodalTranscriptionHandlerReturnsLocalResult(t *testing.T) {
upstream := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/inference" || r.Method != http.MethodPost {
t.Fatalf("unexpected upstream request: %s %s", r.Method, r.URL.Path)
}
_ = json.NewEncoder(w).Encode(map[string]string{"text": "добрый день"})
}))
defer upstream.Close()
server := multimodalGateway{speech: multimodal.SpeechClient{BaseURL: upstream.URL, Client: upstream.Client()}, now: time.Now}
request := multipartRequest(t, "/v1/multimodal/transcribe", "voice.wav", []byte("audio"))
response := httptest.NewRecorder()
server.handler(capability.MultimodalTranscribe)(response, request)
if response.Code != http.StatusOK || !bytes.Contains(response.Body.Bytes(), []byte("добрый день")) {
t.Fatalf("status=%d body=%s", response.Code, response.Body.String())
}
}
func TestMultimodalImageGenerationFailsClosedWhenSkillIsUnbound(t *testing.T) {
server := multimodalGateway{now: time.Now}
body := &bytes.Buffer{}
writer := multipart.NewWriter(body)
if err := writer.WriteField("prompt", "green bird"); err != nil || writer.Close() != nil {
t.Fatal("failed to build generation request")
}
request := httptest.NewRequest(http.MethodPost, "/v1/multimodal/generate-image", body)
request.Header.Set("Content-Type", writer.FormDataContentType())
response := httptest.NewRecorder()
server.handler(capability.MultimodalGenerateImage)(response, request)
if response.Code != http.StatusBadGateway || !bytes.Contains(response.Body.Bytes(), []byte("unavailable")) {
t.Fatalf("status=%d body=%s", response.Code, response.Body.String())
}
}
func TestMultimodalVideoUnderstandingFailsClosedWhenSkillIsUnbound(t *testing.T) {
server := multimodalGateway{now: time.Now}
request := multipartRequest(t, "/v1/multimodal/video-understand", "clip.mp4", []byte("video"))
response := httptest.NewRecorder()
server.handler(capability.MultimodalUnderstandVideo)(response, request)
if response.Code != http.StatusBadGateway || !bytes.Contains(response.Body.Bytes(), []byte("unavailable")) {
t.Fatalf("status=%d body=%s", response.Code, response.Body.String())
}
}
func multipartRequest(t *testing.T, path, filename string, data []byte) *http.Request {
t.Helper()
body := &bytes.Buffer{}
writer := multipart.NewWriter(body)
part, err := writer.CreateFormFile("file", filename)
if err != nil {
t.Fatal(err)
}
if _, err := part.Write(data); err != nil || writer.Close() != nil {
t.Fatal("failed to build multipart request")
}
request := httptest.NewRequest(http.MethodPost, path, body)
request = request.WithContext(context.Background())
request.Header.Set("Content-Type", writer.FormDataContentType())
return request
}
+3
View File
@@ -12,6 +12,7 @@ type chatRouteKind string
const (
chatRouteResearch chatRouteKind = "RESEARCH"
chatRouteConversation chatRouteKind = "CONVERSATION"
chatRouteMedia chatRouteKind = "MEDIA"
chatRouteAction chatRouteKind = "ACTION"
chatRouteAgent chatRouteKind = "AGENT"
)
@@ -42,6 +43,8 @@ func buildChatRoutePlan(result interactiondomain.SemanticResult) []chatRoute {
switch capability.CapabilityKind(hint) {
case capability.CapabilityKindWebResearch:
add(chatRouteResearch, capability.CapabilityKindWebResearch, "truth-research-v1", 10)
case capability.CapabilityKindImageGeneration:
add(chatRouteMedia, capability.CapabilityKindImageGeneration, "local-image-generation-v1", 5)
case capability.CapabilityKindCognitiveReasoning, capability.CapabilityKindVerifyFact:
add(chatRouteConversation, capability.CapabilityKind(hint), "local-reasoning-v1", 20)
case capability.CapabilityKindScheduleReminder:
+47 -1
View File
@@ -6,6 +6,8 @@ import (
"encoding/json"
"fmt"
"hash/fnv"
"io"
"mime/multipart"
"net/http"
"net/url"
"strings"
@@ -23,6 +25,7 @@ import (
type cognitiveInterpretationClient struct {
baseURL *url.URL
client *http.Client
media *http.Client
}
// ReviewResponse asks the cognitive gateway to turn a locally assembled draft
@@ -83,7 +86,7 @@ func newCognitiveInterpretationClient(rawURL string, client *http.Client) (cogni
if client == nil {
client = http.DefaultClient
}
return cognitiveInterpretationClient{baseURL: base, client: client}, nil
return cognitiveInterpretationClient{baseURL: base, client: client, media: &http.Client{Timeout: 15 * time.Minute}}, nil
}
func (c cognitiveInterpretationClient) Interpret(ctx context.Context, request cognitive.GatewayInterpretationRequest) (cognitive.GatewayInterpretationResponse, error) {
@@ -113,6 +116,49 @@ func (c cognitiveInterpretationClient) Interpret(ctx context.Context, request co
return result, nil
}
func (c cognitiveInterpretationClient) GenerateImage(ctx context.Context, prompt, size string) (capability.MultimodalResponse, error) {
var body bytes.Buffer
writer := multipart.NewWriter(&body)
if err := writer.WriteField("prompt", prompt); err != nil {
return capability.MultimodalResponse{}, err
}
if strings.TrimSpace(size) != "" {
if err := writer.WriteField("size", size); err != nil {
return capability.MultimodalResponse{}, err
}
}
if err := writer.Close(); err != nil {
return capability.MultimodalResponse{}, err
}
target := *c.baseURL
target.Path = "/v1/multimodal/generate-image"
request, err := http.NewRequestWithContext(ctx, http.MethodPost, target.String(), &body)
if err != nil {
return capability.MultimodalResponse{}, err
}
request.Header.Set("Content-Type", writer.FormDataContentType())
client := c.media
if client == nil {
client = c.client
}
response, err := client.Do(request)
if err != nil {
return capability.MultimodalResponse{}, err
}
defer response.Body.Close()
if response.StatusCode != http.StatusOK {
return capability.MultimodalResponse{}, fmt.Errorf("image generation status %d", response.StatusCode)
}
var result capability.MultimodalResponse
if err := json.NewDecoder(io.LimitReader(response.Body, 32<<20)).Decode(&result); err != nil {
return capability.MultimodalResponse{}, err
}
if strings.TrimSpace(result.DataBase64) == "" {
return capability.MultimodalResponse{}, fmt.Errorf("image generation returned empty payload")
}
return result, nil
}
func shouldRequestBroaderInterpretation(result interactiondomain.SemanticResult) bool {
return shouldRequestSemanticInterpretation(result)
}
@@ -5,9 +5,11 @@ import (
"encoding/json"
"net/http"
"net/http/httptest"
"strings"
"testing"
"time"
"git.cin.su/m/Assistant/contracts/capability"
"git.cin.su/m/Assistant/contracts/cognitive"
"git.cin.su/m/Assistant/contracts/identity"
"git.cin.su/m/Assistant/contracts/interaction"
@@ -40,6 +42,30 @@ func TestReviewResponseUsesCognitiveGatewayAndReturnsOnlyDraftAnswer(t *testing.
}
}
func TestGenerateImageUsesDedicatedCognitiveMediaRoute(t *testing.T) {
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.Method != http.MethodPost || r.URL.Path != "/v1/multimodal/generate-image" {
t.Fatalf("unexpected image route: %s %s", r.Method, r.URL.Path)
}
if err := r.ParseMultipartForm(1 << 20); err != nil {
t.Fatalf("parse image request: %v", err)
}
if !strings.Contains(r.FormValue("prompt"), "собаку") {
t.Fatalf("prompt was not preserved: %q", r.FormValue("prompt"))
}
_ = json.NewEncoder(w).Encode(capability.MultimodalResponse{Operation: capability.MultimodalGenerateImage, ContentType: "image/png", DataBase64: "cG5n"})
}))
defer server.Close()
client, err := newCognitiveInterpretationClient(server.URL, server.Client())
if err != nil {
t.Fatal(err)
}
image, err := client.GenerateImage(context.Background(), "нарисуй собаку", "")
if err != nil || image.DataBase64 != "cG5n" || image.ContentType != "image/png" {
t.Fatalf("image=%+v err=%v", image, err)
}
}
func TestReviewPreservesResearchEvidence(t *testing.T) {
draft := "Нашёл вариант. Источник: Aviasales (https://www.aviasales.ru/search)"
if reviewPreservesResearchEvidence("Нашёл вариант на Авиасейлс.", draft) {
+123
View File
@@ -0,0 +1,123 @@
package main
import (
"testing"
"time"
"git.cin.su/m/Assistant/contracts/capability"
interactiondomain "git.cin.su/m/Assistant/modules/interaction/domain"
)
func TestHouseholdResearchAndActionRoutesRemainIndependent(t *testing.T) {
candidate := interactiondomain.BuildDeterministicCandidate("проверь погоду в Казани, найди кафе рядом и напомни вечером позвонить", "", time.Unix(10, 0).UnixMilli())
planned := buildChatRoutePlan(interactiondomain.SemanticResult{NeedsCognition: candidate.NeedsCognition, CapabilityHints: candidate.CapabilityHints})
want := map[chatRouteKind]bool{chatRouteResearch: false, chatRouteConversation: false, chatRouteAction: false}
for _, route := range planned {
if _, ok := want[route.Kind]; ok {
want[route.Kind] = true
}
}
for kind, present := range want {
if !present {
t.Fatalf("route %s missing for mixed household request: candidate=%+v routes=%+v", kind, candidate, planned)
}
}
}
func TestHouseholdCreativeRouteDoesNotUseResearch(t *testing.T) {
candidate := interactiondomain.BuildDeterministicCandidate("расскажи сказку о Колобке", "", time.Unix(10, 0).UnixMilli())
for _, hint := range candidate.CapabilityHints {
if capability.CapabilityKind(hint) == capability.CapabilityKindWebResearch {
t.Fatalf("creative request selected web research: %+v", candidate)
}
}
if !interactiondomain.IsCreativeRequest("расскажи сказку о Колобке") {
t.Fatal("creative request was not recognized")
}
}
func TestHouseholdMarketplaceBrandSearchUsesResearchRoute(t *testing.T) {
candidate := interactiondomain.BuildDeterministicCandidate("найди на WB бренд marka-wear", "", time.Unix(10, 0).UnixMilli())
decomposition := interactiondomain.DecomposeTaskWithLexicon("найди на WB бренд marka-wear", interactiondomain.TaskLexicon{ObjectAliases: []interactiondomain.TaskLexiconEntry{{Alias: "бренд", Value: "BRAND"}}, SourceAliases: []interactiondomain.TaskLexiconEntry{{Alias: "wb", Value: "WILDBERRIES"}}})
if decomposition.Intent != interactiondomain.TaskIntentSearch || decomposition.Object != "BRAND" || decomposition.Source != "WILDBERRIES" || decomposition.Target != "marka-wear" || len(decomposition.Missing) != 0 {
t.Fatalf("marketplace request was not split into executable atoms: %+v", decomposition)
}
routes := buildChatRoutePlan(interactiondomain.SemanticResult{NeedsCognition: candidate.NeedsCognition, CapabilityHints: candidate.CapabilityHints})
if !hasChatRoute(routes, chatRouteResearch) {
t.Fatalf("marketplace brand request did not select research route: candidate=%+v routes=%+v", candidate, routes)
}
}
func TestHouseholdSemanticMemoryControlsMarketplaceAlias(t *testing.T) {
withoutMemory := interactiondomain.DecomposeTask("найди на WB бренд marka-wear")
if withoutMemory.Source != "" || withoutMemory.Object != "" {
t.Fatalf("core invented marketplace meaning without memory: %+v", withoutMemory)
}
withMemory := interactiondomain.DecomposeTaskWithLexicon("поищи марку marka-wear в Wildberries", interactiondomain.TaskLexicon{
ObjectAliases: []interactiondomain.TaskLexiconEntry{{Alias: "марку", Value: "BRAND"}},
SourceAliases: []interactiondomain.TaskLexiconEntry{{Alias: "wildberries", Value: "WILDBERRIES"}},
})
if withMemory.Intent != interactiondomain.TaskIntentSearch || withMemory.Object != "BRAND" || withMemory.Source != "WILDBERRIES" || withMemory.Target != "marka-wear" || !withMemory.NeedsResearch {
t.Fatalf("semantic memory did not control marketplace decomposition: %+v", withMemory)
}
}
func TestHouseholdBearDrawingUsesCreativeLocalRoute(t *testing.T) {
candidate := interactiondomain.BuildDeterministicCandidate("нарисуй бурого медведя", "", time.Unix(10, 0).UnixMilli())
decomposition := interactiondomain.DecomposeTaskWithLexicon("нарисуй бурого медведя", interactiondomain.TaskLexicon{ObjectAliases: []interactiondomain.TaskLexiconEntry{{Alias: "медвед", Value: "IMAGE"}}})
if decomposition.Intent != interactiondomain.TaskIntentCreate || decomposition.Object != "IMAGE" || decomposition.Target != "бурого медведя" || decomposition.NeedsResearch {
t.Fatalf("creative request was not split into local execution atoms: %+v", decomposition)
}
routes := buildChatRoutePlan(interactiondomain.SemanticResult{NeedsCognition: candidate.NeedsCognition, CapabilityHints: candidate.CapabilityHints})
if !hasChatRoute(routes, chatRouteMedia) {
t.Fatalf("creative image request did not select media route: candidate=%+v routes=%+v", candidate, routes)
}
for _, hint := range candidate.CapabilityHints {
if capability.CapabilityKind(hint) == capability.CapabilityKindWebResearch {
t.Fatalf("bear drawing selected web research: %+v", candidate)
}
}
for _, message := range []string{"нарисуй бурого медведя", "нарисуй птицу", "нарисуй зеленую птицу", "нарисуй птицу в HD", "нарисуй коня"} {
if got := interactiondomain.CreativeDeterministicReply(message); got != "" {
t.Fatalf("creative request %q received a canned reply=%q", message, got)
}
}
}
func TestHouseholdRouteMatrixKeepsMeaningBoundaries(t *testing.T) {
tests := []struct {
message string
wantResearch bool
wantCreative bool
wantHint string
}{
{message: "найди на WB бренд marka-wear", wantResearch: true},
{message: "какая погода в Казани?", wantResearch: true},
{message: "найди билеты до Сочи", wantResearch: true},
{message: "нарисуй птицу", wantCreative: true},
{message: "расскажи сказку о Колобке", wantCreative: true},
{message: "что такое гравитация?", wantHint: "COGNITIVE_REASONING"},
}
for _, test := range tests {
candidate := interactiondomain.BuildDeterministicCandidate(test.message, "", time.Unix(10, 0).UnixMilli())
if interactiondomain.IsCreativeRequest(test.message) != test.wantCreative {
t.Fatalf("message=%q creative=%v want=%v candidate=%+v", test.message, interactiondomain.IsCreativeRequest(test.message), test.wantCreative, candidate)
}
gotResearch := false
gotHint := false
for _, hint := range candidate.CapabilityHints {
if hint == "WEB_RESEARCH" {
gotResearch = true
}
if hint == test.wantHint {
gotHint = true
}
}
if gotResearch != test.wantResearch {
t.Fatalf("message=%q research=%v want=%v candidate=%+v", test.message, gotResearch, test.wantResearch, candidate)
}
if test.wantHint != "" && !gotHint {
t.Fatalf("message=%q missing hint=%q candidate=%+v", test.message, test.wantHint, candidate)
}
}
}
+110 -29
View File
@@ -510,6 +510,7 @@ func main() {
return
}
var effectiveTaskMessage = interactiondomain.StripAssistantVocative(utterance.Content)
creativeUserRequest := interactiondomain.IsCreativeRequest(utterance.Content)
continuationMessage := ""
travelContinuation := false
var previousTask *interaction.HumanUtterance
@@ -531,13 +532,15 @@ func main() {
log.Printf("interaction principal history loaded: %d utterances", len(recentUserHistory))
}
conversationHistory = append(conversationHistory, recentUserHistory...)
if continuation := interactiondomain.ContinueLocalSearch(effectiveTaskMessage, conversationHistory); continuation != "" {
continuationMessage = continuation
effectiveTaskMessage = continuation
} else if continuation := interactiondomain.ContinueTravelOrigin(effectiveTaskMessage, conversationHistory); continuation != "" {
continuationMessage = continuation
travelContinuation = true
effectiveTaskMessage = continuation
if !creativeUserRequest {
if continuation := interactiondomain.ContinueLocalSearch(effectiveTaskMessage, conversationHistory); continuation != "" {
continuationMessage = continuation
effectiveTaskMessage = continuation
} else if continuation := interactiondomain.ContinueTravelOrigin(effectiveTaskMessage, conversationHistory); continuation != "" {
continuationMessage = continuation
travelContinuation = true
effectiveTaskMessage = continuation
}
}
if request.ConversationID != "" && interactiondomain.IsRetryRequest(utterance.Content) {
if len(conversationHistory) > 0 {
@@ -567,12 +570,12 @@ func main() {
semantic = continuedSemantic
}
}
if travelContinuation && interactiondomain.TravelSearchClarification(effectiveTaskMessage, conversationHistory) == "" {
if !creativeUserRequest && travelContinuation && interactiondomain.TravelSearchClarification(effectiveTaskMessage, conversationHistory) == "" {
semantic.CapabilityHints = append(semantic.CapabilityHints, string(capability.CapabilityKindWebResearch))
semantic.NeedsCognition = false
semantic.Interpretation.NeedsCognition = false
}
creativeRequest := interactiondomain.IsCreativeRequest(utterance.Content) || interactiondomain.IsCreativeRequest(effectiveTaskMessage)
creativeRequest := creativeUserRequest || interactiondomain.IsCreativeRequest(effectiveTaskMessage)
creativeReply := interactiondomain.CreativeDeterministicReply(utterance.Content)
if creativeReply == "" {
creativeReply = interactiondomain.CreativeDeterministicReply(effectiveTaskMessage)
@@ -591,6 +594,9 @@ func main() {
semantic.NeedsCognition = true
semantic.Interpretation.NeedsCognition = true
semantic.CapabilityHints = append(semantic.CapabilityHints, string(capability.CapabilityKindCognitiveReasoning))
if creativeFallbackReply != "" {
semantic.Reply = creativeFallbackReply
}
}
}
locationReply := interactiondomain.LocationContextReply(utterance.Content)
@@ -626,6 +632,13 @@ func main() {
cognitiveAvailable := true
semanticInterpretationRequested := shouldRequestSemanticInterpretation(semantic)
semanticReflexAudit := shouldAuditDeterministicReflex(semantic, string(utterance.ID), now)
// A selected specialized media route already has an executable semantic
// outcome. Do not block it on the general cognitive channel: image
// generation must reach its own adapter even when cognition is degraded.
if hasChatRoute(routePlan, chatRouteMedia) {
semanticInterpretationRequested = false
semanticReflexAudit = false
}
if identityReply != "" {
semanticReflexAudit = false
}
@@ -649,13 +662,15 @@ func main() {
cognitiveAvailable = false
}
}
if travelReply := interactiondomain.TravelSearchClarification(effectiveTaskMessage, conversationHistory); travelReply != "" {
semantic.Interpretation.Clarification = interaction.ClarificationRequired
semantic.Interpretation.Applicability = interaction.SemanticCandidateClarify
semantic.Reply = travelReply
deterministicReply = travelReply
semantic.NeedsCognition = false
semantic.Interpretation.NeedsCognition = false
if !creativeRequest {
if travelReply := interactiondomain.TravelSearchClarification(effectiveTaskMessage, conversationHistory); travelReply != "" {
semantic.Interpretation.Clarification = interaction.ClarificationRequired
semantic.Interpretation.Applicability = interaction.SemanticCandidateClarify
semantic.Reply = travelReply
deterministicReply = travelReply
semantic.NeedsCognition = false
semantic.Interpretation.NeedsCognition = false
}
}
if err := interactionRepository.AppendUtterance(r.Context(), conversation, utterance, intent, relations); err != nil {
http.Error(w, "save chat message", http.StatusInternalServerError)
@@ -763,10 +778,11 @@ func main() {
replies = append(replies, "По запросу «"+part+"»: "+clarification)
continue
}
searchQuery := interactiondomain.TravelSearchQuery(part, now)
researchCtx, cancelResearch := context.WithTimeout(r.Context(), 8*time.Second)
result, researchErr := researchClient.SearchWeb(researchCtx, epistemics.WebSearchRequest{
Plan: epistemics.ResearchPlan{ID: epistemics.ResearchPlanID(fmt.Sprintf("plan:%s:%d", planID, index)), Question: part, SourceClasses: []string{"web-search"}, FreshnessPolicy: "current"},
PropositionKey: fmt.Sprintf("question:%s:%d", utterance.ID, index), Query: part,
Plan: epistemics.ResearchPlan{ID: epistemics.ResearchPlanID(fmt.Sprintf("plan:%s:%d", planID, index)), Question: searchQuery, SourceClasses: []string{"web-search"}, FreshnessPolicy: "current"},
PropositionKey: fmt.Sprintf("question:%s:%d", utterance.ID, index), Query: searchQuery,
})
cancelResearch()
reply, backed := renderResearchReply(part, result, researchErr)
@@ -791,9 +807,11 @@ func main() {
planningReply = helpPath.Reply
needsCognition = false
}
if travelReply := interactiondomain.TravelSearchClarification(effectiveTaskMessage, conversationHistory); travelReply != "" {
planningReply = travelReply
needsCognition = false
if !creativeRequest {
if travelReply := interactiondomain.TravelSearchClarification(effectiveTaskMessage, conversationHistory); travelReply != "" {
planningReply = travelReply
needsCognition = false
}
}
if planningReply == "" && needsCognition && cognitiveAttempted && !cognitiveAvailable {
planningReply = humanCognitiveDegradedReply(utterance.Content)
@@ -809,6 +827,25 @@ func main() {
var delegationID work.DelegationID
var delegationState work.DelegationState
var reminder *continuity.ProspectiveItem
var generatedImage capability.MultimodalResponse
mediaHandled := false
mediaAttempted := false
if hasChatRoute(routePlan, chatRouteMedia) && semantic.Interpretation.Clarification != interaction.ClarificationRequired {
mediaAttempted = true
imageCtx, cancelImage := context.WithTimeout(r.Context(), 15*time.Minute)
generatedImage, err = cognitiveClient.GenerateImage(imageCtx, effectiveTaskMessage, "")
cancelImage()
if err == nil && strings.TrimSpace(generatedImage.DataBase64) != "" {
planningReply = "Готово."
semantic.Reply = planningReply
needsCognition = false
mediaHandled = true
} else {
planningReply = "Сейчас не удалось создать изображение."
semantic.Reply = planningReply
needsCognition = false
}
}
if helpPath.Kind == work.HelpPathDirectCapability && len(helpPath.SuggestedCapabilityKinds) > 0 {
capabilityKind = helpPath.SuggestedCapabilityKinds[0]
started := time.Now()
@@ -893,7 +930,7 @@ func main() {
ConfidenceMillis: semantic.Interpretation.ConfidenceMillis,
})
cancelReview()
stableSemanticReply := identityReply != "" || creativeReply != "" || (creativeFallbackReply != "" && !cognitiveAvailable) || semantic.InformationRequestKind != "" || locationReply != "" || deterministicSpeechAct == interaction.SpeechActConversational || deterministicSpeechAct == interaction.SpeechActConfirmation || deterministicSpeechAct == interaction.SpeechActRejection
stableSemanticReply := mediaAttempted || identityReply != "" || creativeReply != "" || (creativeFallbackReply != "" && !cognitiveAvailable) || semantic.InformationRequestKind != "" || locationReply != "" || deterministicSpeechAct == interaction.SpeechActConversational || deterministicSpeechAct == interaction.SpeechActConfirmation || deterministicSpeechAct == interaction.SpeechActRejection
if reviewErr != nil {
log.Printf("cognitive response review unavailable: %v", reviewErr)
} else if !stableSemanticReply && (!researchBacked || reviewPreservesResearchEvidence(reviewedReply, planningReply)) {
@@ -902,9 +939,12 @@ func main() {
log.Printf("cognitive response review proposed stable semantic rewrite; preserving semantic reply")
}
}
if identityReply == "" {
if !mediaAttempted && !mediaHandled && identityReply == "" && creativeReply == "" && creativeFallbackReply == "" {
stableAct := interactiondomain.ClassifySpeechAct(utterance.Content, utterance.CorrectsUtteranceID)
travelClarification := interactiondomain.TravelSearchClarification(effectiveTaskMessage, conversationHistory)
travelClarification := ""
if !creativeRequest {
travelClarification = interactiondomain.TravelSearchClarification(effectiveTaskMessage, conversationHistory)
}
if stableReply, stable := interactiondomain.StableConversationalReply(utterance.Content, stableAct); stable && travelClarification == "" {
planningReply = stableReply
needsCognition = false
@@ -937,6 +977,7 @@ func main() {
InterpretationState: utterance.InterpretationState,
NeedsCognition: needsCognition,
FallbackText: semantic.Reply,
AssistantName: assistantName,
ActiveProjectName: activeFocusName,
ProjectProvenance: activeFocusProvenance,
Clarification: semantic.Interpretation.Clarification,
@@ -953,6 +994,8 @@ func main() {
DelegationID: string(delegationID),
DelegationState: string(delegationState),
Reminder: reminder,
GeneratedImageContentType: generatedImage.ContentType,
GeneratedImageBase64: generatedImage.DataBase64,
}
w.Header().Set("Content-Type", "application/json")
w.Header().Set("Cache-Control", "no-store")
@@ -1670,7 +1713,7 @@ func renderResearchReply(query string, result epistemics.ResearchResult, researc
if finding.State != epistemics.FindingSupported || strings.TrimSpace(finding.Excerpt.Text) == "" || strings.TrimSpace(finding.Source.Locator) == "" {
continue
}
excerpt := strings.TrimSpace(finding.Excerpt.Text)
excerpt := humanResearchExcerpt(query, finding.Excerpt.Text)
limit := 180
if index > 0 {
limit = 100
@@ -1686,7 +1729,10 @@ func renderResearchReply(query string, result epistemics.ResearchResult, researc
if len(lines) == 0 {
return "Проверяемых данных пока не найдено. Могу повторить поиск или уточнить, что именно проверить.", false
}
reply := strings.Join(lines, "\n")
if nearestFlightQuery(query) && !containsFlightTimeEvidence(strings.Join(lines, " ")) {
return "Нашёл расписание по маршруту, но точное время ближайшего вылета в доступных фрагментах не указано. Откройте источник и выберите ближайший рейс:\n\n" + strings.Join(lines, "\n\n"), true
}
reply := "Нашёл проверяемые данные:\n\n" + strings.Join(lines, "\n\n")
lowerQuery := strings.ToLower(query)
if (strings.Contains(lowerQuery, "цен") || strings.Contains(lowerQuery, "стоим")) && !containsPriceEvidence(reply) {
reply = "Актуальная цена в найденных фрагментах не указана, поэтому не буду придумывать сумму. Вот страницы, где её можно проверить:\n" + reply
@@ -1694,6 +1740,35 @@ func renderResearchReply(query string, result epistemics.ResearchResult, researc
return reply, true
}
func nearestFlightQuery(query string) bool {
lower := strings.ToLower(query)
return strings.Contains(lower, "ближ") && (strings.Contains(lower, "рейс") || strings.Contains(lower, "самолет") || strings.Contains(lower, "самолёт") || strings.Contains(lower, "вылет"))
}
func containsFlightTimeEvidence(value string) bool {
return regexp.MustCompile(`(?m)\b(?:[01]?\d|2[0-3]):[0-5]\d\b`).MatchString(value)
}
func humanResearchExcerpt(query, raw string) string {
text := strings.Join(strings.Fields(strings.TrimSpace(raw)), " ")
if text == "" {
return text
}
parts := strings.Split(text, " — ")
if len(parts) < 2 {
return text
}
lowerQuery := strings.ToLower(query)
for index := len(parts) - 1; index >= 0; index-- {
candidate := strings.TrimSpace(parts[index])
lower := strings.ToLower(candidate)
if len([]rune(candidate)) >= 24 && (strings.Contains(lower, "сейчас") || strings.Contains(lower, "температур") || strings.Contains(lower, "цена") || strings.Contains(lower, "стоим") || strings.Contains(lower, "рейс") || strings.Contains(lower, "вылет") || strings.Contains(lowerQuery, "найди")) {
return candidate
}
}
return text
}
func containsPriceEvidence(value string) bool {
pricePattern := regexp.MustCompile(`(?i)(\d[\d\s.,]{2,})(?:\s*(?:₽|руб\.?|р\.?|usd|\$|€))`)
return pricePattern.MatchString(value)
@@ -1721,7 +1796,13 @@ func humanMemoryInventory(history []interaction.HumanUtterance, assistantName st
lower := strings.ToLower(message)
if (strings.Contains(lower, "нравится") || strings.Contains(lower, "люблю")) && utterance.ReceivedAtUnixMillis >= latestPreferenceAt {
latestPreferenceAt = utterance.ReceivedAtUnixMillis
latestPreference = message
latestPreference = strings.TrimSpace(message)
for _, prefix := range []string{"запомни:", "запомни", "помни:"} {
if strings.HasPrefix(strings.ToLower(latestPreference), prefix) {
latestPreference = strings.TrimSpace(latestPreference[len(prefix):])
break
}
}
}
}
if latestPreference != "" {
@@ -1924,9 +2005,9 @@ func humanCognitiveChannelReply(kind interaction.InformationRequestKind, act int
func humanCognitiveDegradedReply(message string) string {
if strings.TrimSpace(message) == "" {
return "Сейчас когнитивный канал недоступен; Домовой остаётся на связи."
return "Сейчас не удалось обработать запрос."
}
return "Сейчас когнитивный канал недоступен. Повторю запрос через доступный маршрут, когда он восстановится."
return "Не удалось получить проверяемые данные. Ответ не выдумываю."
}
func humanCapabilityList(kinds []capability.CapabilityKind) string {
+20 -1
View File
@@ -15,6 +15,25 @@ import (
interactiondomain "git.cin.su/m/Assistant/modules/interaction/domain"
)
func TestHumanResearchExcerptRemovesSearchResultHeading(t *testing.T) {
got := humanResearchExcerpt("погода в Санкт-Петербурге", "Погода в Санкт-Петербурге — Прогноз погоды — Сейчас пасмурно, температура +14°")
if got != "Сейчас пасмурно, температура +14°" || strings.Contains(got, "Прогноз погоды") {
t.Fatalf("human research excerpt = %q", got)
}
}
func TestNearestFlightEvidenceDoesNotClaimMissingDepartureTime(t *testing.T) {
if !nearestFlightQuery("ближайший рейс Москва Казань сегодня") {
t.Fatal("nearest flight query was not recognized")
}
if containsFlightTimeEvidence("Казань составляет 1 ч 25 мин. График вылетов доступен онлайн") {
t.Fatal("duration was mistaken for a departure time")
}
if !containsFlightTimeEvidence("Ближайший вылет в 18:40") {
t.Fatal("departure time was not recognized")
}
}
func TestBearerTokenRequiresBearerScheme(t *testing.T) {
request := httptest.NewRequest("GET", "/", nil)
request.Header.Set("Authorization", "Basic value")
@@ -73,7 +92,7 @@ func TestCognitiveConfigurationRequestDoesNotPretendToMutate(t *testing.T) {
func TestCognitiveDegradedReplyKeepsDomovoyAlive(t *testing.T) {
reply := humanCognitiveDegradedReply("Помоги настроить локальную модель")
if !strings.Contains(reply, "когнитивный канал") || !strings.Contains(reply, "Повторю") {
if strings.Contains(reply, "когнитивный канал") || strings.Contains(reply, "Повторю") || !strings.Contains(reply, "не выдумываю") {
t.Fatalf("unexpected degraded reply: %q", reply)
}
}
+10
View File
@@ -40,6 +40,11 @@ func TestChatPageServedWithoutInternalIDs(t *testing.T) {
if !strings.Contains(body, "версия 0123456789ab") || !strings.Contains(body, "обновлено 22.08.2026 03:04 UTC") || !strings.Contains(body, "datetime=\"2026-08-22T03:04:05Z\"") {
t.Fatalf("/chat does not render build metadata: %q", body)
}
for _, required := range []string{"media-tools", "audio-input", "image-input", "ocr-input"} {
if !strings.Contains(body, required) {
t.Fatalf("/chat is missing multimodal control %q", required)
}
}
for _, path := range []string{"/", "/chat.html"} {
alternate := httptest.NewRecorder()
handler.ServeHTTP(alternate, httptest.NewRequest(http.MethodGet, path, nil))
@@ -60,6 +65,11 @@ func TestChatScriptExplainsSessionAndRuntimeFailures(t *testing.T) {
t.Fatalf("chat script is missing recovery message %q", required)
}
}
for _, required := range []string{"uploadMedia", "/api/multimodal/transcribe", "/api/multimodal/understand", "/api/multimodal/ocr"} {
if !strings.Contains(script, required) {
t.Fatalf("chat script is missing multimodal route %q", required)
}
}
}
func TestPublicSurfacesSeparateChatAndConsole(t *testing.T) {
+1 -1
View File
@@ -20,7 +20,7 @@ func main() {
// A cold local model may need more than one short HTTP round-trip to
// load on CPU. Keep the browser gateway aligned with the cognition
// deadline instead of turning that wait into a false unavailable reply.
&http.Client{Timeout: 90 * time.Second},
&http.Client{Timeout: 15 * time.Minute},
envOr("COGNITIVE_RUNTIME_URL", "http://cognitive-worker:8083"),
envOr("AGENT_WORKER_URL", "http://agent-worker:8090"),
)
+57
View File
@@ -0,0 +1,57 @@
package main
import (
"bytes"
"encoding/json"
"mime/multipart"
"net/http"
"net/http/httptest"
"testing"
"git.cin.su/m/Assistant/contracts/capability"
"git.cin.su/m/Assistant/contracts/identity"
)
func TestMultimodalUploadRequiresSessionAndProxiesLocalResult(t *testing.T) {
core := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/v1/creator/sessions/current" || r.Header.Get("Authorization") != "Bearer session" {
t.Fatalf("unexpected session request: %s %q", r.URL.Path, r.Header.Get("Authorization"))
}
_ = json.NewEncoder(w).Encode(identity.CreatorSession{ActorID: "actor", PrincipalID: "principal"})
}))
defer core.Close()
cognitive := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/v1/multimodal/transcribe" || r.Method != http.MethodPost {
t.Fatalf("unexpected multimodal request: %s %s", r.Method, r.URL.Path)
}
_ = json.NewEncoder(w).Encode(capability.MultimodalResponse{Operation: capability.MultimodalTranscribe, Text: "локальный текст", Provider: "local-whisper", ObservedAt: 1})
}))
defer cognitive.Close()
handler, err := newHandler(core.URL, "http://continuity.invalid", "http://commit.invalid", core.Client(), cognitive.URL)
if err != nil {
t.Fatal(err)
}
denied := httptest.NewRecorder()
handler.ServeHTTP(denied, httptest.NewRequest(http.MethodPost, "/api/multimodal/transcribe", bytes.NewReader(nil)))
if denied.Code != http.StatusUnauthorized {
t.Fatalf("unauthenticated upload status=%d", denied.Code)
}
body := &bytes.Buffer{}
writer := multipart.NewWriter(body)
part, err := writer.CreateFormFile("file", "voice.wav")
if err != nil {
t.Fatal(err)
}
_, _ = part.Write([]byte("audio"))
if err := writer.Close(); err != nil {
t.Fatal(err)
}
request := httptest.NewRequest(http.MethodPost, "/api/multimodal/transcribe", body)
request.Header.Set("Authorization", "Bearer session")
request.Header.Set("Content-Type", writer.FormDataContentType())
response := httptest.NewRecorder()
handler.ServeHTTP(response, request)
if response.Code != http.StatusOK || !bytes.Contains(response.Body.Bytes(), []byte("локальный текст")) {
t.Fatalf("status=%d body=%s", response.Code, response.Body.String())
}
}
+124 -2
View File
@@ -7,7 +7,9 @@ import (
"fmt"
"io"
"io/fs"
"mime/multipart"
"net/http"
"net/textproto"
"net/url"
"os"
"strings"
@@ -135,6 +137,10 @@ func (g *gateway) ServeHTTP(w http.ResponseWriter, r *http.Request) {
g.handleChatMessage(w, r)
return
}
if r.Method == http.MethodPost && strings.HasPrefix(r.URL.Path, "/api/multimodal/") {
g.handleMultimodal(w, r)
return
}
if r.Method == http.MethodGet && r.URL.Path == "/api/fleet/readiness" {
g.handleFleetReadiness(w, r)
return
@@ -214,6 +220,8 @@ type browserChatResponse struct {
DelegationID string `json:"delegation_id"`
DelegationState string `json:"delegation_state"`
ReminderScheduled bool `json:"reminder_scheduled"`
GeneratedImageContentType string `json:"generated_image_content_type,omitempty"`
GeneratedImageBase64 string `json:"generated_image_base64,omitempty"`
}
func (g *gateway) handleAdvisoryPolicy(w http.ResponseWriter, r *http.Request) {
@@ -479,7 +487,7 @@ func (g *gateway) handleChatMessage(w http.ResponseWriter, r *http.Request) {
status, err = g.postTrustedJSON(r, g.cognitive, "/v1/advisories", "", payload, &advisory)
if err == nil && status == http.StatusOK && validAdvisoryResponse(advisory, trusted) {
cognition = string(advisory.FinishReason)
if advisory.FinishReason == cognitive.FinishCompleted {
if advisory.FinishReason == cognitive.FinishCompleted && (strings.TrimSpace(saved.FallbackText) == "" || !isBoilerplateAdvisory(advisory.AdvisoryText)) {
reply = advisory.AdvisoryText
}
}
@@ -507,17 +515,33 @@ func (g *gateway) handleChatMessage(w http.ResponseWriter, r *http.Request) {
DelegationID: saved.DelegationID,
DelegationState: saved.DelegationState,
ReminderScheduled: saved.Reminder != nil,
GeneratedImageContentType: saved.GeneratedImageContentType,
GeneratedImageBase64: saved.GeneratedImageBase64,
})
}
func isBoilerplateAdvisory(value string) bool {
normalized := strings.ToLower(strings.TrimSpace(value))
switch normalized {
case "я рядом.", "я рядом", "понял.", "понял", "принял.", "принял":
return true
default:
return strings.Contains(normalized, "я — домов") || strings.Contains(normalized, "я - домов") || strings.Contains(normalized, "меня зовут домов")
}
}
func localChatContext(saved interaction.ChatMessageResponse) []cognitive.ContextExcerpt {
assistantName := strings.TrimSpace(saved.AssistantName)
if assistantName == "" {
assistantName = "Домовой"
}
candidates := []cognitive.ContextCandidate{{
Excerpt: cognitive.ContextExcerpt{
ID: "assistant-identity",
SourceKind: "assistant-identity-policy",
SourceID: "domovoy",
Sensitivity: cognitive.SensitivityPublic,
Text: "Ты — Домовой, локальный помощник пользователя. Отвечай от имени Домового. Не называй себя Qwen, Alibaba Cloud, поставщиком модели или внутренним runtime. Если спрашивают имя, скажи: «Меня зовут Домовой». Твоя задача — понять смысл запроса, найти путь к цели и довести помощь до полезного конечного результата; не ограничивайся пересказом отказа модели.",
Text: "Ты — " + assistantName + ", локальный помощник пользователя. Отвечай от имени «" + assistantName + "». Не называй себя Qwen, Alibaba Cloud, поставщиком модели или внутренним runtime. Если спрашивают имя, скажи: «Меня зовут " + assistantName + ".» Твоя задача — понять смысл запроса, найти путь к цели и довести помощь до полезного конечного результата; не ограничивайся пересказом отказа модели.",
},
Relevance: 100,
}}
@@ -650,6 +674,104 @@ func (g *gateway) postTrustedJSON(r *http.Request, upstream *url.URL, path, auth
return response.StatusCode, nil
}
func (g *gateway) handleMultimodal(w http.ResponseWriter, r *http.Request) {
authorization := r.Header.Get("Authorization")
if authorization == "" {
http.Error(w, "creator session denied", http.StatusUnauthorized)
return
}
var session identity.CreatorSession
status, err := g.getTrustedJSON(r, g.core, "/v1/creator/sessions/current", "", authorization, &session)
if err != nil || status != http.StatusOK || session.ActorID == "" || session.PrincipalID == "" {
http.Error(w, "creator session denied", http.StatusUnauthorized)
return
}
const maxMediaBytes = 12 << 20
r.Body = http.MaxBytesReader(w, r.Body, maxMediaBytes)
if err := r.ParseMultipartForm(maxMediaBytes); err != nil {
http.Error(w, "media upload is too large or invalid", http.StatusRequestEntityTooLarge)
return
}
path := ""
switch r.URL.Path {
case "/api/multimodal/transcribe":
path = "/v1/multimodal/transcribe"
case "/api/multimodal/understand":
path = "/v1/multimodal/understand"
case "/api/multimodal/ocr":
path = "/v1/multimodal/ocr"
case "/api/multimodal/video-understand":
path = "/v1/multimodal/video-understand"
case "/api/multimodal/generate-image":
path = "/v1/multimodal/generate-image"
default:
http.Error(w, "multimodal route not found", http.StatusNotFound)
return
}
body := &bytes.Buffer{}
writer := multipart.NewWriter(body)
if r.URL.Path == "/api/multimodal/generate-image" {
_ = writer.WriteField("prompt", r.FormValue("prompt"))
_ = writer.WriteField("size", r.FormValue("size"))
} else {
if r.URL.Path == "/api/multimodal/video-understand" {
_ = writer.WriteField("instruction", r.FormValue("instruction"))
}
file, header, err := r.FormFile("file")
if err != nil {
http.Error(w, "media file is required", http.StatusBadRequest)
return
}
defer file.Close()
data, err := io.ReadAll(io.LimitReader(file, maxMediaBytes+1))
if err != nil || len(data) == 0 || len(data) > maxMediaBytes {
http.Error(w, "media file is invalid", http.StatusBadRequest)
return
}
mediaHeader := make(textproto.MIMEHeader)
mediaHeader.Set("Content-Disposition", fmt.Sprintf(`form-data; name="file"; filename="%s"`, strings.ReplaceAll(header.Filename, `"`, "")))
mediaType := header.Header.Get("Content-Type")
if mediaType == "" {
mediaType = "application/octet-stream"
}
mediaHeader.Set("Content-Type", mediaType)
part, err := writer.CreatePart(mediaHeader)
if err != nil {
http.Error(w, "media upload unavailable", http.StatusServiceUnavailable)
return
}
if _, err := part.Write(data); err != nil {
http.Error(w, "media upload unavailable", http.StatusServiceUnavailable)
return
}
}
if err := writer.Close(); err != nil {
http.Error(w, "media upload unavailable", http.StatusServiceUnavailable)
return
}
target := *g.cognitive
target.Path = path
request, err := http.NewRequestWithContext(r.Context(), http.MethodPost, target.String(), body)
if err != nil {
http.Error(w, "media capability unavailable", http.StatusBadGateway)
return
}
request.Header.Set("Content-Type", writer.FormDataContentType())
response, err := g.client.Do(request)
if err != nil {
http.Error(w, "media capability unavailable", http.StatusBadGateway)
return
}
defer response.Body.Close()
if response.StatusCode != http.StatusOK {
_, _ = io.Copy(io.Discard, io.LimitReader(response.Body, maxResponseBytes))
http.Error(w, "media capability unavailable", http.StatusBadGateway)
return
}
w.Header().Set("Content-Type", "application/json")
_, _ = io.Copy(w, io.LimitReader(response.Body, maxResponseBytes))
}
func decodeStrictJSON(reader io.Reader, limit int64, destination any) error {
decoder := json.NewDecoder(io.LimitReader(reader, limit+1))
decoder.DisallowUnknownFields()
+13 -2
View File
@@ -14,8 +14,8 @@ import (
)
func TestLocalChatContextIncludesDomovoyIdentityAndOptionalActiveProject(t *testing.T) {
context := localChatContext(interaction.ChatMessageResponse{ActiveProjectName: "Домовой"})
if len(context) != 2 || context[0].SourceID != "domovoy" || !strings.Contains(context[0].Text, "Ты — Домовой") || context[1].Text != "Текущий проект: Домовой" {
context := localChatContext(interaction.ChatMessageResponse{AssistantName: "Фея", ActiveProjectName: "Домовой"})
if len(context) != 2 || context[0].SourceID != "domovoy" || !strings.Contains(context[0].Text, "Ты — Фея") || !strings.Contains(context[0].Text, "Меня зовут Фея") || context[1].Text != "Текущий проект: Домовой" {
t.Fatalf("unexpected local context: %#v", context)
}
if empty := localChatContext(interaction.ChatMessageResponse{}); len(empty) != 1 || empty[0].SourceID != "domovoy" {
@@ -23,6 +23,17 @@ func TestLocalChatContextIncludesDomovoyIdentityAndOptionalActiveProject(t *test
}
}
func TestBoilerplateAdvisoryDoesNotReplaceUsefulFallback(t *testing.T) {
for _, value := range []string{"Я рядом", "Понял.", "Принял.", "Я — Домовой, ваш помощник."} {
if !isBoilerplateAdvisory(value) {
t.Fatalf("%q was not recognized as boilerplate", value)
}
}
if isBoilerplateAdvisory("Жили-были дед и баба.") {
t.Fatal("useful creative reply was treated as boilerplate")
}
}
func TestCreatorRouteAllowsOnlyBoundedDelegationReads(t *testing.T) {
tests := []struct {
path string
+5
View File
@@ -56,6 +56,7 @@ textarea { resize: vertical; min-height: 84px; max-height: 240px; padding: 14px;
.chat-header > .operator-link { flex: 0 0 auto; }
.chat-layout { min-height: 0; height: 100%; display: grid; grid-template-columns: minmax(220px, 280px) minmax(0, 1fr) minmax(250px, 320px); }
.chat-side { min-width: 0; min-height: 0; padding: 28px 20px; overflow-y: auto; background: #0e1512; }
.generated-image { display: block; max-width: min(100%, 640px); height: auto; margin-top: 12px; border: 1px solid var(--line); }
.chat-left { border-right: 1px solid var(--line); }
.chat-right { border-left: 1px solid var(--line); }
.side-intro h1, .side-intro h2 { margin: 12px 0; font: 400 clamp(28px, 2.5vw, 40px)/.95 var(--serif); letter-spacing: -.03em; }
@@ -75,6 +76,10 @@ textarea { resize: vertical; min-height: 84px; max-height: 240px; padding: 14px;
.composer { width: min(100%, 920px); margin: 0 auto; padding: 16px 18px 10px; display: grid; grid-template-columns: minmax(0, 1fr) 130px; gap: 12px; background: linear-gradient(transparent, var(--base) 20%); }
.composer button { height: 48px; align-self: end; }
.composer button:disabled { cursor: wait; filter: saturate(.3); }
.media-tools { width: min(100%, 920px); margin: 0 auto; padding: 0 18px 10px; display: flex; flex-wrap: wrap; align-items: center; gap: 8px; color: var(--muted); font: 10px/1 var(--mono); text-transform: uppercase; letter-spacing: .06em; }
.media-tools label { display: inline-flex; align-items: center; gap: 6px; min-height: 30px; padding: 0 8px; border: 1px solid var(--line); color: var(--ink); cursor: pointer; }
.media-tools input { max-width: 150px; font: 10px var(--mono); }
.media-tools span { color: var(--signal); }
.conversation-starters { width: min(100%, 920px); margin: -4px auto 0; padding: 0 18px 18px; display: flex; flex-wrap: wrap; align-items: center; gap: 8px; color: var(--muted); font: 10px/1 var(--mono); letter-spacing: .06em; text-transform: uppercase; }
.conversation-starters button { min-height: 32px; padding: 0 10px; border: 1px solid var(--line); color: var(--ink); background: #101814; font: 10px/1 var(--mono); }
.conversation-starters button:hover, .conversation-starters button:focus-visible { border-color: var(--signal); color: var(--signal); outline: none; }
+47 -2
View File
@@ -103,7 +103,7 @@ function showLogin() {
loginView.hidden = false;
}
function appendMessage(kind, text, meta = "") {
function appendMessage(kind, text, meta = "", media = null) {
const node = document.createElement("div");
node.className = `message ${kind}`;
node.textContent = text;
@@ -112,6 +112,13 @@ function appendMessage(kind, text, meta = "") {
small.textContent = meta;
node.appendChild(small);
}
if (media?.data && media?.contentType) {
const image = document.createElement("img");
image.className = "generated-image";
image.alt = text || "Сгенерированное изображение";
image.src = `data:${media.contentType};base64,${media.data}`;
node.appendChild(image);
}
messages.appendChild(node);
messages.scrollTop = messages.scrollHeight;
localHistory.push({kind, text, meta, at: new Date()});
@@ -132,6 +139,16 @@ async function api(path, options = {}) {
return response.json();
}
async function uploadMedia(path, file) {
const body = new FormData();
body.append("file", file, file.name);
const headers = {};
if (token) headers.Authorization = `Bearer ${token}`;
const response = await fetch(path, {method: "POST", headers, body});
if (!response.ok) throw new ChatApiError(response.status, await response.text());
return response.json();
}
function expireSession(message = "") {
token = "";
conversationID = "";
@@ -267,7 +284,7 @@ async function sendChatMessage(text, options = {}) {
conversationID = result.conversation_id;
sessionStorage.setItem("domovoy.chat.conversation", conversationID);
updateActiveFocus(result.active_focus, result.project_provenance);
appendMessage("assistant", result.reply_text || "Сообщение записано.", humanMeta(result));
appendMessage("assistant", result.reply_text || "Сообщение записано.", humanMeta(result), result.generated_image_base64 ? {contentType: result.generated_image_content_type || "image/png", data: result.generated_image_base64} : null);
if (/что сейчас требует моего внимания/i.test(clean)) {
await loadToday();
activateTab("today-panel");
@@ -320,6 +337,34 @@ chatForm.addEventListener("submit", async (event) => {
await sendChatMessage(text);
});
async function processMedia(input, path, label) {
const file = input?.files?.[0];
if (!file || !mediaStatus) return;
mediaStatus.textContent = `${label} обрабатывается...`;
input.value = "";
try {
const result = await uploadMedia(path, file);
const text = String(result.text || "").trim();
if (!text) throw new Error("empty media result");
mediaStatus.textContent = "Готово";
await sendChatMessage(`Пользователь передал ${label.toLowerCase()}. Обработай содержание и ответь по смыслу:\n${text}`);
} catch (error) {
if (error instanceof ChatApiError && (error.status === 401 || error.status === 403)) {
expireSession("Сессия устарела. Войдите снова, чтобы продолжить разговор.");
} else {
mediaStatus.textContent = `${label} сейчас недоступно.`;
}
}
}
const mediaStatus = document.querySelector("#media-status");
const audioInput = document.querySelector("#audio-input");
const imageInput = document.querySelector("#image-input");
const ocrInput = document.querySelector("#ocr-input");
if (audioInput) audioInput.addEventListener("change", () => processMedia(audioInput, "/api/multimodal/transcribe", "Распознанное аудио"));
if (imageInput) imageInput.addEventListener("change", () => processMedia(imageInput, "/api/multimodal/understand", "Описание изображения"));
if (ocrInput) ocrInput.addEventListener("change", () => processMedia(ocrInput, "/api/multimodal/ocr", "Текст с изображения"));
for (const tab of navTabs) {
tab.addEventListener("click", () => activateTab(tab.dataset.tab));
}
+6
View File
@@ -60,6 +60,12 @@
<textarea id="message" rows="3" maxlength="16384" placeholder="Напишите Домовому обычное сообщение..." required></textarea>
<button id="send" type="submit">Отправить</button>
</form>
<div class="media-tools" aria-label="Мультимодальные сообщения">
<label>Аудио <input id="audio-input" type="file" accept="audio/*"></label>
<label>Фото <input id="image-input" type="file" accept="image/*"></label>
<label>Текст с фото <input id="ocr-input" type="file" accept="image/*"></label>
<span id="media-status" role="status" aria-live="polite"></span>
</div>
<div class="conversation-starters" aria-label="Частые вопросы">
<span>Можно начать так:</span>
<button type="button" data-starter="Проверь локальный канал мышления">Проверь канал</button>
+25
View File
@@ -0,0 +1,25 @@
package capability
// MultimodalOperation identifies one bounded local media skill. It is kept
// separate from general cognition so health, routing and failure evidence do
// not collapse into a generic model response.
type MultimodalOperation string
const (
MultimodalTranscribe MultimodalOperation = "TRANSCRIBE_AUDIO"
MultimodalUnderstand MultimodalOperation = "UNDERSTAND_IMAGE"
MultimodalRecognizeOCR MultimodalOperation = "RECOGNIZE_OCR"
MultimodalUnderstandVideo MultimodalOperation = "UNDERSTAND_VIDEO"
MultimodalGenerateImage MultimodalOperation = "GENERATE_IMAGE"
MultimodalGenerateVideo MultimodalOperation = "GENERATE_VIDEO"
)
type MultimodalResponse struct {
Operation MultimodalOperation `json:"operation"`
Text string `json:"text"`
Provider string `json:"provider,omitempty"`
ObservedAt int64 `json:"observed_at_unix_millis"`
ConfidenceNote string `json:"confidence_note,omitempty"`
ContentType string `json:"content_type,omitempty"`
DataBase64 string `json:"data_base64,omitempty"`
}
+6
View File
@@ -29,6 +29,12 @@ const (
CapabilityKindCognitiveReasoning CapabilityKind = "COGNITIVE_REASONING"
CapabilityKindScheduleReminder CapabilityKind = "SCHEDULE_REMINDER"
CapabilityKindVerifyFact CapabilityKind = "VERIFY_FACT"
CapabilityKindSpeechToText CapabilityKind = "SPEECH_TO_TEXT"
CapabilityKindImageUnderstanding CapabilityKind = "IMAGE_UNDERSTANDING"
CapabilityKindOCR CapabilityKind = "OCR"
CapabilityKindVideoUnderstanding CapabilityKind = "VIDEO_UNDERSTANDING"
CapabilityKindImageGeneration CapabilityKind = "IMAGE_GENERATION"
CapabilityKindVideoGeneration CapabilityKind = "VIDEO_GENERATION"
)
// Binding is Capability-owned correctness state. SecretRef is an opaque
+3
View File
@@ -170,6 +170,7 @@ type ChatMessageResponse struct {
InterpretationState InterpretationState
NeedsCognition bool
FallbackText string
AssistantName string
ActiveProjectName string
ProjectProvenance situation.ProjectResolutionProvenance
Clarification ClarificationState
@@ -186,4 +187,6 @@ type ChatMessageResponse struct {
DelegationID string
DelegationState string
Reminder *continuity.ProspectiveItem
GeneratedImageContentType string
GeneratedImageBase64 string
}
+3
View File
@@ -258,6 +258,9 @@ services:
LOCAL_MEDIUM_PROVIDER_CREDENTIAL_REF: ${LOCAL_MEDIUM_PROVIDER_CREDENTIAL_REF:-credential://domovoy/local-medium/provider-api-key/v1}
LOCAL_GPU_PROVIDER_TIMEOUT: ${LOCAL_GPU_PROVIDER_TIMEOUT:-60s}
LOCAL_LIFEBOAT_PROVIDER_URL: http://cognitive-lifeboat:8086/v1
LOCAL_IMAGE_PROVIDER_KIND: ${LOCAL_IMAGE_PROVIDER_KIND:-comfyui}
LOCAL_IMAGE_PROVIDER_URL: ${LOCAL_IMAGE_PROVIDER_URL:-http://comfyui:8188}
LOCAL_IMAGE_MODEL: ${LOCAL_IMAGE_MODEL:-z_image_turbo_bf16.safetensors}
COGNITIVE_OWNER_PRINCIPAL_ID: domovoy-creator-principal
COGNITIVE_ALLOW_CANARY: "true"
depends_on: [core-runtime, cognitive-lifeboat]
+3 -3
View File
@@ -1,5 +1,5 @@
{
"task_file": "dev/tasks/DEV-000294-creative-chat-routing.json",
"task_id": "DEV-000294",
"task_revision": 1
"task_file": "dev/tasks/DEV-000295-household-scenario-audit.json",
"task_id": "DEV-000295",
"task_revision": 2
}
@@ -0,0 +1,114 @@
{
"task_id": "DEV-000295",
"task_revision": 2,
"architecture_revision": "ADR-0019",
"base_repo_revision": "origin/main",
"risk_tier": "E",
"intent": "Провести сценарный аудит бытового общения Домового, добавить устойчивую маршрутизацию умений и проверку конечного ответа без монолитного оркестратора.",
"requirement_ids": [
"REQ-HOUSEHOLD-001",
"REQ-HOUSEHOLD-002",
"REQ-HOUSEHOLD-003",
"REQ-HOUSEHOLD-004"
],
"allowed_change_scope": {
"modules": ["interaction", "capability", "epistemics", "situation", "work", "continuity", "cognitive-worker", "creator-web", "multimodal-adapters"],
"paths": [
"cmd/core-runtime/**",
"cmd/cognitive-worker/**",
"cmd/creator-web/**",
"adapters/multimodal/**",
"modules/interaction/**",
"modules/capability/**",
"modules/epistemics/**",
"modules/situation/**",
"modules/work/**",
"modules/continuity/**",
"contracts/interaction/**",
"contracts/capability/**",
"deploy/docker-compose.prod.yml",
"tests/**",
"dev/ACTIVE_TASK.json",
"dev/tasks/DEV-000295-household-scenario-audit.json"
]
},
"forbidden_change_scope": {
"paths": [
"architecture/**",
"security/**",
"adapters/models/**",
"deploy/images/**",
"migrations/**",
"go.mod",
"go.sum"
]
},
"allowed_architecture_delta": {
"new_cross_module_dependencies": 0,
"new_canonical_owners": 0,
"new_privileges": 1,
"new_third_party_dependencies": 0,
"new_database_owner_roles": 0
},
"contracts": {
"consume": [
"contracts.identity@v1",
"contracts.authority@v1",
"contracts.capability@v1",
"contracts.cognitive@v1",
"contracts.interaction@v1",
"contracts.work@v1"
],
"may_change": ["multimodal capability kinds and internal speech/image/OCR transport contracts; no canonical persistence contract"]
},
"semantic_owner": "interaction owns meaning classification; capability owns capability health and selection; cognitive-worker/adapters own provider transport; creator-web owns browser transport; existing semantic owners retain canonical state",
"canonical_state": ["existing Interpretation, CapabilityResolution, Situation, Goal/Task and ProspectiveItem only"],
"state_transitions": ["request -> meaning -> bounded capability route -> result/clarification/degraded answer -> verification evidence"],
"side_effects_and_privileges": ["Scenario tests are read-only/fake by default; multimodal requests send user-provided media only to configured local speech/vision services; real reminders, websites, messages and code changes remain behind existing Commit/Executor and authority boundaries."],
"persistence_and_migrations": ["No new tables, migrations or events; verify existing durable memory, situation, goal/task and continuity paths."],
"failure_retry_restart": ["Each scenario distinguishes unavailable, partial and unknown outcome; retries must not duplicate external effects; restart restores context and commitments from canonical state."],
"acceptance_scenarios": [
"SCN-HH-001 identity/name/preference continuity",
"SCN-HH-002 location/weather/time/price current-data research",
"SCN-HH-003 travel/nearby-place clarification and result synthesis",
"SCN-HH-004 multi-action request decomposition and agent assignment",
"SCN-HH-005 reminder/goal/task lifecycle and follow-up",
"SCN-HH-006 speech/image/OCR capability routing and degraded mode",
"SCN-HH-007 creative conversation without web-search leakage",
"SCN-HH-008 unavailable/partial/contradictory tool and model responses",
"SCN-HH-009 short natural answer and no internal protocol leakage",
"SCN-HH-010 authority/confirmation/unknown-outcome safety"
],
"required_tests": [
"go test",
"go vet",
"preflight",
"check-diff",
"check-architecture",
"independent",
"git diff",
"git diff --check",
"unit",
"semantic-routing",
"scenario-contract",
"multimodal-adapter",
"multimodal-proxy",
"multimodal-production-smoke",
"degraded-mode",
"restart-recovery",
"architecture",
"go-test ./...",
"go vet ./...",
"production smoke on docker.cin.su"
],
"terminal_gap_states": [
"BLOCKED_BY_SPEC_GAP",
"BLOCKED_BY_ARCHITECTURE_GAP",
"BLOCKED_BY_MISSING_CAPABILITY"
],
"assumptions": [
"Локальный Docker запрещён; production verification выполняется только на docker.cin.su.",
"Провайдеры и browser session могут быть недоступны, поэтому тесты обязаны проверять полезный degraded ответ.",
"Новые умения добавляются отдельными capability/adapter/route компонентами, а не единым монолитным оркестратором."
]
}
+47 -18
View File
@@ -250,6 +250,9 @@ func semanticScores(tokens []string, hasQuestionMark bool, explicitCorrection bo
if explicitCorrection {
scores[interaction.SpeechActCorrection] += 6
}
if containsStemInTokens(tokens, "опечат", "ошибк", "исправлен") && containsStemInTokens(tokens, "исправ", "поправ") {
scores[interaction.SpeechActCorrection] += 6
}
first := ""
if len(tokens) > 0 {
first = tokens[0]
@@ -301,6 +304,10 @@ func semanticScores(tokens []string, hasQuestionMark bool, explicitCorrection bo
scores[interaction.SpeechActPreference] += 8
scores[interaction.SpeechActAssertion] = 0
}
if containsToken(tokens, "запомни") && containsStemInTokens(tokens, "нрав", "люб", "предпочит") {
scores[interaction.SpeechActPreference] += 6
scores[interaction.SpeechActAssertion] = 0
}
if len(tokens) >= 2 && tokens[0] == "я" && containsStemInTokens(tokens[1:], "настро", "сдела", "исправ", "удал", "созда", "перезапуст", "поменя", "добави") {
scores[interaction.SpeechActAssertion] += 5
}
@@ -496,15 +503,35 @@ func capabilityHintsFor(primary, secondary interaction.SpeechAct, tokens []strin
add("WEB_RESEARCH")
}
if isCreativeRequestTokens(tokens) {
add("COGNITIVE_REASONING")
// A correction that quotes a creative phrase is still a correction;
// do not execute the quoted phrase as a side effect.
if isImageCreationRequestTokens(tokens) && primary != interaction.SpeechActCorrection && secondary != interaction.SpeechActCorrection {
add("IMAGE_GENERATION")
} else {
add("COGNITIVE_REASONING")
}
}
if containsStemInTokens(tokens, "голосов", "аудио", "послуш") {
add("SPEECH_TO_TEXT")
}
if containsStemInTokens(tokens, "фотограф", "фото", "картин", "изображ") && containsStemInTokens(tokens, "прочит", "текст", "надпис") {
add("OCR")
} else if containsStemInTokens(tokens, "фотограф", "фото", "картин", "изображ") {
add("IMAGE_UNDERSTANDING")
}
if containsStemInTokens(tokens, "видео", "ролик") {
add("VIDEO_UNDERSTANDING")
}
if containsToken(tokens, "напомни") || containsToken(tokens, "напомин") {
add("SCHEDULE_REMINDER")
}
if containsStemInTokens(tokens, "поставь", "создай", "добавь") && containsStemInTokens(tokens, "цел", "задач", "план") {
add("COGNITIVE_REASONING")
}
if isExplicitEmailAction(tokens) {
add("SEND_EMAIL")
}
if containsToken(tokens, "код") || containsToken(tokens, "патч") || containsToken(tokens, "текст") || containsToken(tokens, "главной") || containsToken(tokens, "чате") {
if containsToken(tokens, "код") || containsToken(tokens, "патч") || containsToken(tokens, "текст") || containsToken(tokens, "главной") || containsToken(tokens, "чате") || containsToken(tokens, "проект") || containsStemInTokens(tokens, "тест") {
if primary == interaction.SpeechActDirective || primary == interaction.SpeechActRequestToInvestigate || secondary == interaction.SpeechActDirective {
add("MODIFY_CODE")
add("RUN_TESTS")
@@ -525,6 +552,9 @@ func capabilityHintsFor(primary, secondary interaction.SpeechAct, tokens []strin
if containsInterrogative(tokens) && containsArithmetic(tokens) {
add("COGNITIVE_REASONING")
}
if isCreativeRequestTokens(tokens) && containsStemInTokens(tokens, "погод", "ресторан", "кафе", "билет", "рейс", "цен", "найд", "узнай", "проверь") {
add("WEB_RESEARCH")
}
if containsToken(tokens, "свободно") || containsToken(tokens, "гб") {
add("VERIFY_FACT")
}
@@ -539,6 +569,10 @@ func capabilityHintsFor(primary, secondary interaction.SpeechAct, tokens []strin
return values
}
func isImageCreationRequestTokens(tokens []string) bool {
return containsStemInTokens(tokens, "нарис", "рису", "изобраз")
}
func isCreativeRequestTokens(tokens []string) bool {
if containsStemInTokens(tokens, "нарис", "рису", "изобраз") {
return true
@@ -558,9 +592,10 @@ func sourceDependentQuestion(primary, secondary interaction.SpeechAct, tokens []
}
currentCue := containsStemInTokens(tokens, "сейчас", "сегодня", "текущ", "актуаль", "последн", "прямо")
observedStateCue := containsStemInTokens(tokens, "погод", "температур", "осад", "ветер", "курс", "цен", "стоим", "новост", "распис", "событ", "статус", "доступен", "работает", "запущен", "срок") || approximateToken(tokens, "погод", 2)
placeSearchCue := containsStemInTokens(tokens, "ресторан", "кафе", "отел", "магаз", "мест", "ближ", "адрес", "организац")
travelSearchCue := containsStemInTokens(tokens, "билет", "рейс", "поезд", "автобус", "перелет", "перелёт", "отправлен", "прибыт")
return currentCue || observedStateCue || placeSearchCue || travelSearchCue
placeSearchCue := containsStemInTokens(tokens, "ресторан", "кафе", "отел", "магаз", "мест", "ближ", "адрес", "организац", "бренд", "товар", "артикул", "продавец", "маркетплейс", "wildberries", "wb")
travelSearchCue := containsStemInTokens(tokens, "билет", "рейс", "поезд", "автобус", "перелет", "перелёт", "отправлен", "прибыт", "расстоян", "километр", "добрат", "маршрут")
timeDifferenceCue := containsStemInTokens(tokens, "разниц") && containsStemInTokens(tokens, "времен", "час")
return currentCue || observedStateCue || placeSearchCue || travelSearchCue || timeDifferenceCue
}
// approximateToken catches ordinary keyboard slips without turning routing
@@ -658,24 +693,18 @@ func IsCreativeRequest(message string) bool {
return isCreativeRequestTokens(tokens)
}
// CreativeDeterministicReply covers simple geometric sketches that do not
// need a model or external source. Rich creative content remains cognitive.
// CreativeDeterministicReply intentionally has no example-specific answer
// branches. Creative requests must retain their full meaning and go through
// cognition; canned object or color answers hide lost attributes.
func CreativeDeterministicReply(message string) string {
tokens := semanticTokens(message)
if containsStemInTokens(tokens, "нарис", "рису", "изобраз") && containsStemInTokens(tokens, "круг", "окруж") {
return "◯"
}
return ""
}
// CreativeFallbackReply keeps a small creative conversation useful when the
// cognitive channel is unavailable. It is not used when cognition returns a
// completed richer answer.
// CreativeFallbackReply intentionally has no canned creative content. The
// cognitive route must construct the requested result while preserving all
// user attributes; a degraded path must not pretend that a prepared answer
// was generated.
func CreativeFallbackReply(message string) string {
tokens := semanticTokens(message)
if IsCreativeRequest(message) && containsStemInTokens(tokens, "сказк", "басн") && containsStemInTokens(tokens, "колоб") {
return "Жили-были дед и баба. Испекли они Колобка, а он убежал в лес. Встретил зайца, волка и медведя — от всех укатился, но лису перехитрить не смог. Так Колобок понял: хвастовство и беспечность до добра не доводят."
}
return ""
}
+59 -6
View File
@@ -1,7 +1,6 @@
package domain
import (
"strings"
"testing"
"time"
@@ -156,7 +155,7 @@ func TestSourceDependentQuestionRequestsWebResearchWithoutEntityBranch(t *testin
}
func TestSourceDependentQuestionToleratesTyposAndPlaceSearch(t *testing.T) {
for _, message := range []string{"какая пугода в Сочи", "найди ближайший ресторан в Сочи", "найди билеты до Ялты"} {
for _, message := range []string{"какая пугода в Сочи", "найди ближайший ресторан в Сочи", "найди билеты до Ялты", "найди на WB бренд marka-wear"} {
candidate := BuildDeterministicCandidate(message, "", time.Unix(10, 0).UnixMilli())
seen := false
for _, hint := range candidate.CapabilityHints {
@@ -170,6 +169,45 @@ func TestSourceDependentQuestionToleratesTyposAndPlaceSearch(t *testing.T) {
}
}
func TestDecomposeMarketplaceBrandRequestIntoExecutionAtoms(t *testing.T) {
lexicon := TaskLexicon{ObjectAliases: []TaskLexiconEntry{{Alias: "бренд", Value: "BRAND"}}, SourceAliases: []TaskLexiconEntry{{Alias: "wb", Value: "WILDBERRIES"}}}
got := DecomposeTaskWithLexicon("найди на WB бренд marka-wear", lexicon)
if got.Intent != TaskIntentSearch || got.Object != "BRAND" || got.Source != "WILDBERRIES" || got.Target != "marka-wear" || !got.NeedsResearch {
t.Fatalf("unexpected marketplace decomposition: %+v", got)
}
if len(got.Missing) != 0 {
t.Fatalf("complete marketplace request marked incomplete: %+v", got)
}
}
func TestDecomposeDoesNotInventMutableAliases(t *testing.T) {
got := DecomposeTask("найди на WB бренд marka-wear")
if got.Source != "" || got.Object != "" || got.NeedsResearch {
t.Fatalf("parser invented a mutable alias without memory: %+v", got)
}
}
func TestDecomposeUsesRememberedAliasesAcrossWordings(t *testing.T) {
lexicon := TaskLexicon{
ObjectAliases: []TaskLexiconEntry{{Alias: "бренд", Value: "BRAND"}, {Alias: "марку", Value: "BRAND"}},
SourceAliases: []TaskLexiconEntry{{Alias: "wb", Value: "WILDBERRIES"}, {Alias: "wildberries", Value: "WILDBERRIES"}},
}
for _, message := range []string{"найди на WB бренд marka-wear", "поищи марку marka-wear в Wildberries"} {
got := DecomposeTaskWithLexicon(message, lexicon)
if got.Intent != TaskIntentSearch || got.Object != "BRAND" || got.Source != "WILDBERRIES" || got.Target != "marka-wear" || !got.NeedsResearch {
t.Fatalf("remembered aliases failed for %q: %+v", message, got)
}
}
}
func TestDecomposeCreativeRequestDoesNotInventResearch(t *testing.T) {
lexicon := TaskLexicon{ObjectAliases: []TaskLexiconEntry{{Alias: "медвед", Value: "IMAGE"}}}
got := DecomposeTaskWithLexicon("нарисуй бурого медведя", lexicon)
if got.Intent != TaskIntentCreate || got.Object != "IMAGE" || got.Target != "бурого медведя" || got.NeedsResearch {
t.Fatalf("unexpected creative decomposition: %+v", got)
}
}
func TestRequestToClarifyCurrentFactRequestsWebResearch(t *testing.T) {
candidate := BuildDeterministicCandidate("уточни погоду в питере", "", time.Unix(10, 0).UnixMilli())
for _, hint := range candidate.CapabilityHints {
@@ -216,6 +254,16 @@ func TestMemoryInventoryRequestIsSemantic(t *testing.T) {
}
}
func TestRememberedPreferenceIsNotRenderedAsIdentity(t *testing.T) {
result := BuildDeterministicCandidate("запомни: мне нравится красный цвет", "", time.Unix(10, 0).UnixMilli())
if result.PrimarySpeechAct != interaction.SpeechActPreference {
t.Fatalf("expected remembered preference, got %+v", result)
}
if got := semanticReply("запомни: мне нравится красный цвет", SemanticResult{Interpretation: interaction.UtteranceInterpretation{SpeechAct: result.PrimarySpeechAct}}, nil); got != "Хорошо, учту это дальше." {
t.Fatalf("unexpected preference reply %q", got)
}
}
func TestCreativeRequestsDoNotRouteToWebResearch(t *testing.T) {
for _, message := range []string{"нарисуй круг", "расскажи сказку о колобке"} {
candidate := BuildDeterministicCandidate(message, "", time.Now().UnixMilli())
@@ -238,14 +286,19 @@ func TestInterpretCreativeRequestDoesNotRequireExternalEvidence(t *testing.T) {
if result.Interpretation.SpeechAct == interaction.SpeechActQuestion || containsString(result.CapabilityHints, "WEB_RESEARCH") {
t.Fatalf("creative request was routed as external research: %+v", result)
}
if got := CreativeDeterministicReply("нарисуй круг"); got != "◯" {
t.Fatalf("circle reply = %q", got)
if got := CreativeDeterministicReply("нарисуй круг"); got != "" {
t.Fatalf("creative request received a canned reply = %q", got)
}
if !IsCreativeRequest("расскажи сказку о колобке") {
t.Fatal("story request was not recognized as creative")
}
if got := CreativeFallbackReply("расскажи сказку о колобке"); !strings.Contains(got, "Колоб") {
t.Fatalf("story fallback = %q", got)
if got := CreativeFallbackReply("расскажи сказку о колобке"); got != "" {
t.Fatalf("creative request received canned content = %q", got)
}
for _, message := range []string{"нарисуй птицу", "нарисуй зеленую птицу", "нарисуй птицу в HD", "нарисуй коня"} {
if got := CreativeDeterministicReply(message); got != "" {
t.Fatalf("creative request %q received a canned reply = %q", message, got)
}
}
}
@@ -125,6 +125,11 @@ func TestTravelSearchClarification(t *testing.T) {
if got := TravelSearchClarification("какая погода в Сочи?", history); got != "" {
t.Fatalf("unrelated question must not inherit travel goal, got %q", got)
}
for _, message := range []string{"нарисуй птицу", "расскажи сказку", "ты кто?", "выведи свою память"} {
if got := TravelSearchClarification(message, history); got != "" {
t.Fatalf("non-travel request %q inherited travel goal, got %q", message, got)
}
}
if got := TravelSearchClarification("Как можно добраться до Сочи?", nil); got != "Из какого города выезжать в Сочи? Подберу самолёт, поезд, автобус или машину." {
t.Fatalf("general travel question should ask departure city, got %q", got)
}
@@ -144,6 +149,16 @@ func TestTravelSearchClarification(t *testing.T) {
}
}
func TestTravelSearchQueryCarriesNearestFlightDate(t *testing.T) {
now := time.Date(2026, time.August, 25, 18, 0, 0, 0, time.UTC)
if got := TravelSearchQuery("какой ближайший рейс из Москвы в Казань", now); got != "какой ближайший рейс из Москвы в Казань сегодня 25.08.2026" {
t.Fatalf("nearest flight query=%q", got)
}
if got := TravelSearchQuery("рейс из Москвы в Казань завтра", now); got != "рейс из Москвы в Казань завтра" {
t.Fatalf("explicit date was changed: %q", got)
}
}
func TestInterpretUtteranceDirectiveRecordsOutcomeWithoutExecution(t *testing.T) {
result := interpretForTest(t, "Поменяй базу на УПО1.", activeFocus("upo", "УПО"), "")
if result.Interpretation.SpeechAct != interaction.SpeechActDirective {
@@ -0,0 +1,124 @@
package domain
import "strings"
// TaskDecomposition is the small, typed intermediate representation used
// before a capability is called. It separates the user's goal from the
// object, source and target instead of treating the whole sentence as a
// command string.
type TaskDecomposition struct {
Intent string
Object string
Source string
Target string
Qualifiers []string
Missing []string
NeedsResearch bool
}
type TaskLexiconEntry struct {
Alias string
Value string
}
type TaskLexicon struct {
ObjectAliases []TaskLexiconEntry
SourceAliases []TaskLexiconEntry
}
const (
TaskIntentSearch = "SEARCH"
TaskIntentCreate = "CREATE"
)
// DecomposeTask performs the structural pass without assuming a mutable
// world vocabulary. Learned names, aliases and source meanings are supplied
// by memory through DecomposeTaskWithLexicon.
func DecomposeTask(message string) TaskDecomposition {
return DecomposeTaskWithLexicon(message, TaskLexicon{})
}
// DecomposeTaskWithLexicon performs a cheap semantic pass. The lexicon is
// intentionally an input: a remembered alias may be revalidated or replaced
// without changing the parser or shipping a new hard-coded branch.
func DecomposeTaskWithLexicon(message string, lexicon TaskLexicon) TaskDecomposition {
lower := strings.ToLower(strings.TrimSpace(message))
tokens := semanticTokens(message)
result := TaskDecomposition{}
if containsStemInTokens(tokens, "найд", "поищ", "подбер", "проверь") {
result.Intent = TaskIntentSearch
}
if containsStemInTokens(tokens, "нарис", "рису", "изобраз", "создай") {
result.Intent = TaskIntentCreate
}
for _, entry := range lexicon.ObjectAliases {
if lexiconAliasMatches(tokens, entry.Alias) {
result.Object = entry.Value
break
}
}
for _, entry := range lexicon.SourceAliases {
if lexiconAliasMatches(tokens, entry.Alias) {
result.Source = entry.Value
break
}
}
if result.Source != "" {
result.NeedsResearch = result.Intent == TaskIntentSearch
}
if result.Intent == TaskIntentCreate {
result.Target = valueAfterAnyCue(lower, "нарисуй", "нарисовать", "изобрази", "создай")
}
if result.Target == "" && result.Object != "" {
for _, entry := range lexicon.ObjectAliases {
if entry.Value == result.Object && lexiconAliasMatches(tokens, entry.Alias) {
result.Target = valueAfterCue(lower, entry.Alias)
break
}
}
}
if result.Intent == TaskIntentSearch && result.Source == "" {
result.Missing = append(result.Missing, "SOURCE_OR_SEARCH_SCOPE")
}
if result.Intent == TaskIntentSearch && result.Target == "" {
result.Missing = append(result.Missing, "TARGET")
}
return result
}
func lexiconAliasMatches(tokens []string, alias string) bool {
alias = strings.TrimSpace(strings.ToLower(alias))
if len([]rune(alias)) < 2 {
return false
}
return containsStemInTokens(tokens, alias)
}
func valueAfterAnyCue(message string, cues ...string) string {
for _, cue := range cues {
if value := valueAfterCue(message, cue); value != "" {
return value
}
}
return ""
}
func valueAfterCue(message, cue string) string {
index := strings.Index(message, cue)
if index < 0 {
return ""
}
value := strings.TrimSpace(message[index+len(cue):])
value = strings.Trim(value, " \t:,-")
end := len(value)
if punctuation := strings.IndexAny(value, "?!,.;"); punctuation >= 0 && punctuation < end {
end = punctuation
}
for _, boundary := range []string{" в ", " на ", " из ", " для ", " около "} {
if index := strings.Index(value, boundary); index >= 0 && index < end {
end = index
}
}
return strings.TrimSpace(value[:end])
}
+28 -1
View File
@@ -2,10 +2,25 @@ package domain
import (
"strings"
"time"
"git.cin.su/m/Assistant/contracts/interaction"
)
// TravelSearchQuery carries the implicit current-day meaning of a nearest
// flight request into the research adapter.
func TravelSearchQuery(message string, now time.Time) string {
cleaned := strings.TrimSpace(StripAssistantVocative(message))
tokens := semanticTokens(cleaned)
if !travelCue(tokens) || !containsStemInTokens(tokens, "ближ") || isTravelDateSpecified(tokens) {
return cleaned
}
if now.IsZero() {
return cleaned + " сегодня"
}
return cleaned + " сегодня " + now.Format("02.01.2006")
}
// StripAssistantVocative removes a leading assistant name used as an address.
// The original utterance remains the historical source; this value is only for
// interpretation, cognitive prompts and external queries.
@@ -159,7 +174,7 @@ func TravelSearchClarification(message string, history []interaction.HumanUttera
}
origin := containsStemInTokens(current, "из", "откуда", "от")
destination := containsStemInTokens(current, "в", "куда", "до")
date := containsStemInTokens(current, "сегодня", "завтра", "послезавтр", "январ", "феврал", "март", "апрел", "мая", "июн", "июл", "август", "сентябр", "октябр", "ноябр", "декабр")
date := isTravelDateSpecified(current)
if containsStemInTokens(current, "ближ") {
date = true
}
@@ -209,6 +224,18 @@ func TravelSearchClarification(message string, history []interaction.HumanUttera
return "Уточните маршрут и дату: откуда, куда и на какой день нужны билеты?"
}
func isTravelDateSpecified(tokens []string) bool {
if containsStemInTokens(tokens, "сегодня", "завтра", "послезавтр", "январ", "феврал", "март", "апрел", "мая", "июн", "июл", "август", "сентябр", "октябр", "ноябр", "декабр") {
return true
}
for _, token := range tokens {
if hasDigit(token) {
return true
}
}
return false
}
func isTravelDateWord(value string) bool {
return containsStem(value, "сегодня", "завтра", "послезавтр", "январ", "феврал", "март", "апрел", "мая", "июн", "июл", "август", "сентябр", "октябр", "ноябр", "декабр")
}
@@ -0,0 +1,52 @@
[
{"id":"HH50-001","kind":"question","message":"ты кто?","outcome":"identity"},
{"id":"HH50-002","kind":"question","message":"как тебя зовут?","outcome":"identity"},
{"id":"HH50-003","kind":"task","message":"я назову тебя Дед, запомни","outcome":"memory"},
{"id":"HH50-004","kind":"task","message":"теперь тебя зовут Фея","outcome":"memory"},
{"id":"HH50-005","kind":"question","message":"что ты умеешь?","outcome":"conversation"},
{"id":"HH50-006","kind":"task","message":"запомни: мне нравится красный цвет","outcome":"memory"},
{"id":"HH50-007","kind":"question","message":"что ты помнишь обо мне?","outcome":"memory"},
{"id":"HH50-008","kind":"question","message":"выведи мою память таблицей","outcome":"memory"},
{"id":"HH50-009","kind":"question","message":"какая сейчас погода в Казани?","outcome":"research"},
{"id":"HH50-010","kind":"question","message":"какая разница во времени между Москвой и Шанхаем?","outcome":"research"},
{"id":"HH50-011","kind":"assertion","message":"я сейчас в Москве","outcome":"memory"},
{"id":"HH50-012","kind":"question","message":"сколько километров до Сочи?","outcome":"research"},
{"id":"HH50-013","kind":"question","message":"как можно добраться до Сочи?","outcome":"research"},
{"id":"HH50-014","kind":"question","message":"какой ближайший рейс до Казани?","outcome":"research"},
{"id":"HH50-015","kind":"question","message":"найди ближайший ресторан в Сочи","outcome":"research"},
{"id":"HH50-016","kind":"question","message":"назови доступные модели","outcome":"conversation"},
{"id":"HH50-017","kind":"question","message":"какая модель отвечает?","outcome":"conversation"},
{"id":"HH50-018","kind":"question","message":"что ты можешь сделать без внешних моделей?","outcome":"conversation"},
{"id":"HH50-019","kind":"question","message":"проверь, работает ли интернет","outcome":"research"},
{"id":"HH50-020","kind":"question","message":"почему ты не смог найти ответ?","outcome":"conversation"},
{"id":"HH50-021","kind":"question","message":"найди на WB бренд marka-wear","outcome":"research"},
{"id":"HH50-022","kind":"question","message":"проверь цену на видеокарту RTX 4090","outcome":"research"},
{"id":"HH50-023","kind":"question","message":"найди билеты до Ялты","outcome":"research"},
{"id":"HH50-024","kind":"question","message":"покажи ближайшие рейсы до Сочи","outcome":"research"},
{"id":"HH50-025","kind":"question","message":"какой ближайший самолёт из Москвы в Казань сегодня?","outcome":"research"},
{"id":"HH50-026","kind":"question","message":"нарисуй птицу","outcome":"media"},
{"id":"HH50-027","kind":"task","message":"нарисуй зелёную птицу","outcome":"media"},
{"id":"HH50-028","kind":"task","message":"нарисуй коня","outcome":"media"},
{"id":"HH50-029","kind":"task","message":"нарисуй бурого медведя","outcome":"media"},
{"id":"HH50-030","kind":"task","message":"нарисуй птицу в HD","outcome":"media"},
{"id":"HH50-031","kind":"task","message":"нарисуй круг","outcome":"media"},
{"id":"HH50-032","kind":"question","message":"расскажи сказку о Колобке","outcome":"conversation"},
{"id":"HH50-033","kind":"task","message":"придумай короткую шутку","outcome":"conversation"},
{"id":"HH50-034","kind":"task","message":"исправь опечатку: нарисуй прицу","outcome":"conversation"},
{"id":"HH50-035","kind":"task","message":"поставь цель подготовиться к поездке","outcome":"action"},
{"id":"HH50-036","kind":"task","message":"напомни завтра в 10 купить билет","outcome":"action"},
{"id":"HH50-037","kind":"question","message":"что осталось сделать по цели?","outcome":"action"},
{"id":"HH50-038","kind":"task","message":"проверь погоду в Казани и найди рядом кафе","outcome":"multi"},
{"id":"HH50-039","kind":"task","message":"узнай погоду в Сочи и нарисуй птицу","outcome":"multi"},
{"id":"HH50-040","kind":"task","message":"напомни вечером позвонить и проверь погоду","outcome":"multi"},
{"id":"HH50-041","kind":"question","message":"послушай это голосовое сообщение","outcome":"audio"},
{"id":"HH50-042","kind":"question","message":"что на этой фотографии?","outcome":"vision"},
{"id":"HH50-043","kind":"question","message":"прочитай текст на фотографии","outcome":"ocr"},
{"id":"HH50-044","kind":"question","message":"что происходит на этом видео?","outcome":"video"},
{"id":"HH50-045","kind":"assertion","message":"источники противоречат друг другу","outcome":"conversation"},
{"id":"HH50-046","kind":"question","message":"основной runtime сейчас недоступен","outcome":"research"},
{"id":"HH50-047","kind":"task","message":"купи билет до Казани","outcome":"confirmation"},
{"id":"HH50-048","kind":"task","message":"отправь письмо о поездке","outcome":"confirmation"},
{"id":"HH50-049","kind":"task","message":"измени проект и запусти тесты","outcome":"agent"},
{"id":"HH50-050","kind":"question","message":"не получилось ли действие?","outcome":"conversation"}
]
@@ -0,0 +1,90 @@
package household_scenarios
import (
"encoding/json"
"os"
"path/filepath"
"strings"
"testing"
"time"
"git.cin.su/m/Assistant/contracts/capability"
interactiondomain "git.cin.su/m/Assistant/modules/interaction/domain"
)
type checklistItem struct {
ID string `json:"id"`
Kind string `json:"kind"`
Message string `json:"message"`
Outcome string `json:"outcome"`
}
func TestHouseholdChecklist50ReachesPositiveSemanticReaction(t *testing.T) {
data, err := os.ReadFile(filepath.Join("checklist_50.json"))
if err != nil {
t.Fatal(err)
}
var items []checklistItem
if err := json.Unmarshal(data, &items); err != nil {
t.Fatal(err)
}
if len(items) != 50 {
t.Fatalf("checklist has %d items, want exactly 50", len(items))
}
seen := map[string]bool{}
for _, item := range items {
if item.ID == "" || item.Kind == "" || strings.TrimSpace(item.Message) == "" || item.Outcome == "" {
t.Fatalf("incomplete checklist item: %+v", item)
}
if seen[item.ID] {
t.Fatalf("duplicate checklist item %q", item.ID)
}
seen[item.ID] = true
checkSemanticReaction(t, item)
}
}
func checkSemanticReaction(t *testing.T, item checklistItem) {
t.Helper()
candidate := interactiondomain.BuildDeterministicCandidate(item.Message, "", time.Unix(10, 0).UnixMilli())
has := func(kind capability.CapabilityKind) bool {
for _, hint := range candidate.CapabilityHints {
if capability.CapabilityKind(hint) == kind {
return true
}
}
return false
}
switch item.Outcome {
case "identity", "memory", "conversation", "confirmation":
if has(capability.CapabilityKindWebResearch) || has(capability.CapabilityKindImageGeneration) {
t.Errorf("%s %q routed unrelated capability for %s: %+v", item.ID, item.Message, item.Outcome, candidate)
}
case "research":
if !has(capability.CapabilityKindWebResearch) {
t.Errorf("%s %q did not select research route: %+v", item.ID, item.Message, candidate)
}
case "media":
if !has(capability.CapabilityKindImageGeneration) {
t.Errorf("%s %q did not select image route: %+v", item.ID, item.Message, candidate)
}
case "action":
if !has(capability.CapabilityKindScheduleReminder) && !has(capability.CapabilityKindCognitiveReasoning) && !candidate.NeedsCognition {
t.Errorf("%s %q has no action route or cognitive handoff: %+v", item.ID, item.Message, candidate)
}
case "agent":
if !candidate.NeedsCognition && len(candidate.CapabilityHints) == 0 {
t.Errorf("%s %q has no agent route or cognitive handoff: %+v", item.ID, item.Message, candidate)
}
case "multi":
if len(candidate.CapabilityHints) < 2 {
t.Errorf("%s %q was not decomposed into multiple capabilities: %+v", item.ID, item.Message, candidate)
}
case "audio", "vision", "ocr", "video":
if len(candidate.CapabilityHints) == 0 && !candidate.NeedsCognition {
t.Errorf("%s %q has no modality route or cognitive handoff: %+v", item.ID, item.Message, candidate)
}
default:
t.Fatalf("%s uses unknown outcome %q", item.ID, item.Outcome)
}
}
@@ -0,0 +1,60 @@
package household_scenarios
import (
"encoding/json"
"os"
"path/filepath"
"testing"
)
type scenario struct {
ID string `json:"id"`
Category string `json:"category"`
Messages []string `json:"messages"`
Must []string `json:"must"`
MustNot []string `json:"must_not"`
}
func TestHouseholdScenarioCatalogIsComplete(t *testing.T) {
data, err := os.ReadFile(filepath.Join("scenarios.json"))
if err != nil {
t.Fatal(err)
}
var scenarios []scenario
if err := json.Unmarshal(data, &scenarios); err != nil {
t.Fatal(err)
}
if len(scenarios) < 10 {
t.Fatalf("scenario catalog has %d entries, want at least 10", len(scenarios))
}
required := map[string]bool{
"identity_memory": false,
"current_information": false,
"travel_and_places": false,
"multi_action_orchestration": false,
"goals_reminders_tasks": false,
"speech_image_ocr": false,
"creative_conversation": false,
"degraded_and_conflict": false,
"natural_dialogue": false,
"authority_and_outcome": false,
}
seen := map[string]bool{}
for _, item := range scenarios {
if item.ID == "" || item.Category == "" || len(item.Messages) == 0 || len(item.Must) == 0 || len(item.MustNot) == 0 {
t.Fatalf("incomplete scenario: %+v", item)
}
if seen[item.ID] {
t.Fatalf("duplicate scenario id %q", item.ID)
}
seen[item.ID] = true
if _, ok := required[item.Category]; ok {
required[item.Category] = true
}
}
for category, present := range required {
if !present {
t.Fatalf("scenario category %q is missing", category)
}
}
}
+72
View File
@@ -0,0 +1,72 @@
[
{
"id": "SCN-HH-001",
"category": "identity_memory",
"messages": ["ты кто?", "я назову тебя Дед, запомни", "какая погода в Сочи?"],
"must": ["identity uses stored assistant name", "rename is persisted", "follow-up keeps the same identity and task context"],
"must_not": ["model provider name presented as assistant identity", "memory confirmation replaces the next answer"]
},
{
"id": "SCN-HH-002",
"category": "current_information",
"messages": ["я сейчас в Москве", "какая погода в Питере?", "проверь цену на RTX 4090", "найди на WB бренд marka-wear"],
"must": ["current facts use web research or an explicit source path", "location and time defaults are applied when confidence is high", "answer synthesizes evidence"],
"must_not": ["raw search snippets", "search-engine query URLs as the answer", "unsupported certainty"]
},
{
"id": "SCN-HH-003",
"category": "travel_and_places",
"messages": ["найди ближайший рейс до Сочи", "Москва", "сегодня", "найди ближайший ресторан"],
"must": ["missing high-impact origin/date is clarified once", "known context is reused", "results contain direct useful links or actionable next steps"],
"must_not": ["generic travel-site snippets presented as found tickets", "forgetting the destination or origin after clarification"]
},
{
"id": "SCN-HH-004",
"category": "multi_action_orchestration",
"messages": ["проверь погоду в Казани, найди кафе рядом и напомни вечером позвонить"],
"must": ["request is decomposed into independent bounded routes", "research and reminder agents receive separate profiles", "partial completion is reported per subtask"],
"must_not": ["one failed route suppresses unrelated work", "one monolithic agent owns all side effects"]
},
{
"id": "SCN-HH-005",
"category": "goals_reminders_tasks",
"messages": ["поставь цель подготовиться к поездке", "напомни завтра в 10 купить билет", "что осталось сделать?"],
"must": ["goal, task and reminder remain distinct", "commitment survives restart", "status is reported from durable state"],
"must_not": ["notification delivery alone treated as completion", "in-memory-only future obligation"]
},
{
"id": "SCN-HH-006",
"category": "speech_image_ocr",
"messages": ["послушай голосовое", "что на этой фотографии?", "прочитай текст на фото"],
"must": ["audio, vision and OCR are separate capability routes", "unsupported input has a useful recovery path", "confidence and unreadable regions are disclosed"],
"must_not": ["text-only model pretending to see or hear", "one unavailable modality blocks ordinary chat"]
},
{
"id": "SCN-HH-007",
"category": "creative_conversation",
"messages": ["нарисуй круг", "нарисуй бурого медведя", "расскажи сказку о Колобке", "придумай шутку"],
"must": ["creative requests avoid irrelevant web search", "simple safe output can use a local fast path", "rich output uses cognition when available"],
"must_not": ["technical evidence refusal for a creative request", "provider name replacing Domovoy identity"]
},
{
"id": "SCN-HH-008",
"category": "degraded_and_conflict",
"messages": ["какая погода в Сочи?", "основной runtime недоступен", "источники противоречат друг другу"],
"must": ["unavailable, partial and conflict remain distinct", "local useful fallback is short and honest", "retry/recovery path is actionable"],
"must_not": ["generic loop responses", "invented current facts", "loss of conversation context"]
},
{
"id": "SCN-HH-009",
"category": "natural_dialogue",
"messages": ["ты кто?", "а теперь подробнее", "ладно, коротко", "дальше"],
"must": ["answers fit the requested depth without meta-commentary", "short turns contain the answer rather than boilerplate", "follow-up keeps subject and person model"],
"must_not": ["Я рядом boilerplate as every answer", "repeating capability descriptions instead of answering"]
},
{
"id": "SCN-HH-010",
"category": "authority_and_outcome",
"messages": ["купи билет", "отправь письмо", "измени проект", "не получилось ли действие?"],
"must": ["external mutation requires authority and confirmation where needed", "unknown outcome is not blindly retried", "proposal, execution and outcome are distinguishable"],
"must_not": ["model output directly executing a side effect", "duplicate purchase/message/code mutation"]
}
]