feat: musicgen + embeddings/rerank surfaces (ADR-0021, ADR-0022)

- NEW musicgen leaf package: blocking Generate over ACE-Step's async job
  queue (release_task -> poll query_result -> fetch file, all via
  /upstream); tolerant envelope parsing, double-encoded result handled
- NEW embeddings leaf package: EmbedModel + RerankModel as separate mints
  (two server instances on the host, llama.cpp #20085); InstructedQuery
  helper for Qwen3-style query/document asymmetry
- provider/llamaswap: /v1/embeddings + /v1/rerank clients with strict
  validation (index-ordered vectors, count mismatch and out-of-range
  index are hard errors; rerank sorted descending, minimal parser)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
2026-07-12 23:56:55 -04:00
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# ADR-0021: musicgen interface (blocking Generate over an async job queue)
Status: Accepted (2026-07-12)
## Context
The llama-swap host gained ACE-Step 1.5 (full songs with vocals, seconds per
clip warm on the reference GPU). Its API is an async job queue —
`POST /release_task` → poll `POST /query_result``GET` the result file —
unlike every other majordomo media backend, which is one blocking call.
## Decision
- New `musicgen` leaf package, ADR-0016→0020 conventions: `Request{Prompt,
Lyrics, DurationSeconds, Format, Steps, Seed}`, `Result{Audio{Data, MIME},
Raw}`, functional options, zero value = backend default, bytes-only.
- **`Model.Generate` blocks, polling internally** (2s interval, ctx-bounded).
The one-call contract is the package's value: callers budget the whole job
with a context deadline exactly like imagegen/videogen, and the async
mechanics stay a provider detail. An async job surface (mirroring the
deliberately-deferred videogen one, ADR-0019) can come later if a caller
ever needs progress.
- provider/llamaswap reaches ACE-Step through the `/upstream/<model>/`
passthrough (ADR-0020). Envelope parsing is tolerant (`data` wrapper or
bare array; `result` arrives as a double-encoded JSON string) and the
result-file URL is routed back through the same upstream. `audio_duration`
is the v1 param name — an unknown field degrades to default clip length
upstream, never an error; verify at smoke.
## Consequences
- Music jobs occupy the exclusive GPU group like video; callers own the
timeout budget (mort keeps the tool timeout under its agent ceiling).
- The double-encoded `result` string and envelope shapes are pinned by the
netherstorm image build; host smoke tests are the drift defence.
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# ADR-0022: embeddings + rerank interface
Status: Accepted (2026-07-12)
## Context
majordomo had no embedding or reranking surface at all. The llama-swap host
now runs two persistent CPU-only llama-server members (Qwen3-Embedding-0.6B
via `/v1/embeddings`, bge-reranker-v2-m3 via `/v1/rerank`), and mort wants a
reranking stage in memory retrieval with embedding-backed retrieval as a
later step.
## Decision
- New `embeddings` leaf package with TWO half-surfaces, split like audio's
Speech/Transcription: `EmbedModel`/`EmbedProvider` and
`RerankModel`/`RerankProvider`. They are separate mints because on the
reference host they are two DIFFERENT server instances — llama-server with
`--embeddings` and `--rerank` together returns all-zero embeddings
(llama.cpp #20085) — and because rerankers are cross-encoders, not
embedders.
- `EmbedResult.Vectors [][]float32` in input order (provider must order by
the response's `index`, never trust wire order). No `dimensions` param:
llama-server doesn't implement it; Matryoshka truncation is caller-side.
- `InstructedQuery(task, query)` helper encodes the instruction-aware
asymmetry (queries wrapped, documents bare) so call sites can't silently
degrade retrieval by forgetting the prefix.
- `RerankResult` sorted by descending score; parser reads ONLY
`results[].index` and `results[].relevance_score` because llama-server
documents the shape as subject to change. Scores are model-specific —
comparable within one response only.
## Consequences
- Callers get vectors/scores with strict validation (count mismatch, index
out of range, empty vector are hard errors — a silently missing vector is
a retrieval bug factory).
- llama-server's rerank scoring has open correctness issues for some models
(llama.cpp #16407); consumers must validate against a fixture before
trusting scores in production (mort gates its memory-rerank convar on
exactly that).
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// Package embeddings is majordomo's canonical text-embedding and reranking
// surface (ADR-0022, following the ADR-0016→0021 leaf-contract lineage).
// Two small halves, split like audio's Speech/Transcription so backends can
// implement either:
//
// - EmbedModel turns texts into dense vectors (/v1/embeddings-style).
// - RerankModel scores documents against a query with a cross-encoder
// (/v1/rerank-style) — usually a DIFFERENT backend model than the
// embedder, hence a separate mint.
//
// Instruction-aware embedders (Qwen3-Embedding et al.) want queries wrapped
// as "Instruct: {task}\nQuery: {query}" while documents go in bare;
// InstructedQuery encodes that so callers don't hand-roll (and silently
// degrade retrieval) at each site.
package embeddings
import "context"
// EmbedRequest is a batch embedding request. Inputs are embedded
// independently; the result vector order matches the input order.
type EmbedRequest struct {
// Inputs are the texts to embed. Required (at least one).
Inputs []string
}
// EmbedResult is the canonical embedding result.
type EmbedResult struct {
// Vectors holds one embedding per input, in input order. Backends
// normalize per their own convention (llama-server: Euclidean-normalized).
Vectors [][]float32
// Raw is the provider-native response object. May be nil.
Raw any
}
// EmbedOption mutates an EmbedRequest before it is sent. Reserved: the
// request shape is deliberately minimal today.
type EmbedOption func(*EmbedRequest)
// Apply returns a copy of the request with all options applied.
func (r EmbedRequest) Apply(opts ...EmbedOption) EmbedRequest {
for _, opt := range opts {
opt(&r)
}
return r
}
// InstructedQuery wraps a retrieval QUERY for instruction-aware embedding
// models. Documents must NOT be wrapped — the asymmetry is the point, and
// getting it wrong silently costs retrieval quality. An empty task uses the
// generic web-search instruction the reference model was trained with.
func InstructedQuery(task, query string) string {
if task == "" {
task = "Given a web search query, retrieve relevant passages that answer the query"
}
return "Instruct: " + task + "\nQuery: " + query
}
// EmbedModel embeds texts as dense vectors.
type EmbedModel interface {
// Embed returns one vector per input, in input order.
Embed(ctx context.Context, req EmbedRequest, opts ...EmbedOption) (*EmbedResult, error)
}
// EmbedModelOption configures an EmbedModel at construction time. Reserved
// for future per-model settings.
type EmbedModelOption func(*EmbedModelConfig)
// EmbedModelConfig carries per-model construction settings.
type EmbedModelConfig struct{}
// ApplyEmbedModelOptions folds options into a config.
func ApplyEmbedModelOptions(opts []EmbedModelOption) EmbedModelConfig {
var cfg EmbedModelConfig
for _, opt := range opts {
opt(&cfg)
}
return cfg
}
// EmbedProvider mints embedding models bound to one backend.
type EmbedProvider interface {
// Name is the registry identifier for the provider.
Name() string
// EmbedModel returns an EmbedModel bound to the given id (passed through
// to the backend verbatim; no catalog validation).
EmbedModel(id string, opts ...EmbedModelOption) (EmbedModel, error)
}
// RerankRequest scores documents against a query.
type RerankRequest struct {
// Query is the search query. Required.
Query string
// Documents are the candidate texts to score. Required (at least one).
Documents []string
// TopN limits how many results the backend returns; 0 = all.
TopN int
}
// RerankItem is one scored document.
type RerankItem struct {
// Index is the document's position in the request's Documents slice.
Index int
// Score is the backend's relevance score (higher = more relevant).
// Scales are model-specific — compare within one response only.
Score float64
}
// RerankResult is the canonical rerank result, sorted by descending Score.
type RerankResult struct {
// Results are the scored documents (top-N when the request bounded it).
Results []RerankItem
// Raw is the provider-native response object. May be nil.
Raw any
}
// RerankOption mutates a RerankRequest before it is sent.
type RerankOption func(*RerankRequest)
// WithTopN limits how many results the backend returns.
func WithTopN(n int) RerankOption { return func(r *RerankRequest) { r.TopN = n } }
// Apply returns a copy of the request with all options applied.
func (r RerankRequest) Apply(opts ...RerankOption) RerankRequest {
for _, opt := range opts {
opt(&r)
}
return r
}
// RerankModel scores documents against a query with a cross-encoder.
type RerankModel interface {
// Rerank returns scored documents sorted by descending relevance.
Rerank(ctx context.Context, req RerankRequest, opts ...RerankOption) (*RerankResult, error)
}
// RerankModelOption configures a RerankModel at construction time. Reserved
// for future per-model settings.
type RerankModelOption func(*RerankModelConfig)
// RerankModelConfig carries per-model construction settings.
type RerankModelConfig struct{}
// ApplyRerankModelOptions folds options into a config.
func ApplyRerankModelOptions(opts []RerankModelOption) RerankModelConfig {
var cfg RerankModelConfig
for _, opt := range opts {
opt(&cfg)
}
return cfg
}
// RerankProvider mints rerank models bound to one backend.
type RerankProvider interface {
// Name is the registry identifier for the provider.
Name() string
// RerankModel returns a RerankModel bound to the given id (passed
// through to the backend verbatim; no catalog validation).
RerankModel(id string, opts ...RerankModelOption) (RerankModel, error)
}
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// Package musicgen is majordomo's canonical music-generation surface (full
// songs from a text prompt, optionally with lyrics). Like imagegen/audio/
// videogen/meshgen, it is a deliberately separate leaf contract from the llm
// package (ADR-0021, following the ADR-0016→0020 lineage: functional
// options, zero values = backend default, bytes-only I/O, Raw escape hatch).
//
// The first implementation is provider/llamaswap, which targets an
// ACE-Step-1.5-style async job API reached through the /upstream
// passthrough; Generate blocks (polling internally) so callers get the
// imagegen-style one-call contract — bound it with a context deadline.
package musicgen
import "context"
// Audio is one generated piece: raw encoded bytes plus a MIME type.
type Audio struct {
// Data is the encoded audio container.
Data []byte
// MIME is the audio MIME type, e.g. "audio/mpeg".
MIME string
}
// Request is a music-generation request. Zero values mean "backend default".
type Request struct {
// Prompt describes the music (genre, mood, instrumentation, tempo...).
Prompt string
// Lyrics are optional song lyrics for models that sing; "" =
// instrumental or model-written lyrics, per backend behavior.
Lyrics string
// DurationSeconds is the requested clip length; 0 = backend default.
DurationSeconds int
// Format is the audio container ("mp3", "wav", "flac", "opus", "aac");
// "" = backend default (mp3 on ACE-Step).
Format string
// Steps is the number of inference steps; nil = backend default.
Steps *int
// Seed fixes the RNG seed for reproducible output; nil = backend
// default (random).
Seed *int64
}
// Result is the canonical music-generation result.
type Result struct {
// Audio is the generated piece.
Audio Audio
// Raw is the provider-native response object (e.g. the job result with
// bpm/keyscale metadata). May be nil.
Raw any
}
// Option mutates a Request before it is sent. Options passed to Generate are
// applied to a copy of the request, so a Request value can be reused.
type Option func(*Request)
// WithLyrics sets song lyrics.
func WithLyrics(l string) Option { return func(r *Request) { r.Lyrics = l } }
// WithDuration sets the requested clip length in seconds.
func WithDuration(seconds int) Option {
return func(r *Request) { r.DurationSeconds = seconds }
}
// WithFormat sets the audio container format.
func WithFormat(f string) Option { return func(r *Request) { r.Format = f } }
// WithSteps overrides the number of inference steps.
func WithSteps(n int) Option { return func(r *Request) { r.Steps = &n } }
// WithSeed fixes the RNG seed.
func WithSeed(seed int64) Option { return func(r *Request) { r.Seed = &seed } }
// Apply returns a copy of the request with all options applied. Providers
// call this once at the top of Generate.
func (r Request) Apply(opts ...Option) Request {
for _, opt := range opts {
opt(&r)
}
return r
}
// Model generates music from text.
type Model interface {
// Generate renders the request as one audio clip. It blocks until the
// backend finishes (or ctx expires) even when the backend is an async
// job queue — polling is the provider's business, not the caller's.
Generate(ctx context.Context, req Request, opts ...Option) (*Result, error)
}
// ModelOption configures a Model at construction time. Reserved for future
// per-model settings.
type ModelOption func(*ModelConfig)
// ModelConfig carries per-model construction settings.
type ModelConfig struct{}
// ApplyModelOptions folds options into a config.
func ApplyModelOptions(opts []ModelOption) ModelConfig {
var cfg ModelConfig
for _, opt := range opts {
opt(&cfg)
}
return cfg
}
// Provider mints music models bound to one backend.
type Provider interface {
// Name is the registry identifier for the provider.
Name() string
// MusicModel returns a Model bound to the given id (passed through to
// the backend verbatim; no catalog validation).
MusicModel(id string, opts ...ModelOption) (Model, error)
}
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// embed.go implements embeddings.EmbedProvider and embeddings.RerankProvider
// against llama-server instances behind llama-swap (ADR-0022):
//
// POST /v1/embeddings {model, input: [...]} (OpenAI shape)
// POST /v1/rerank {model, query, documents, top_n} (Jina-ish shape)
//
// Both paths are in llama-swap's normal model-routed tables — no /upstream
// needed. The two surfaces are minted separately because they are two
// DIFFERENT server instances on the host: llama-server with --embeddings
// and --rerank enabled together returns all-zero embeddings (llama.cpp
// #20085), so the host runs one of each and the ids differ.
package llamaswap
import (
"context"
"fmt"
"net/http"
"sort"
"strings"
"gitea.stevedudenhoeffer.com/steve/majordomo/embeddings"
"gitea.stevedudenhoeffer.com/steve/majordomo/llm"
)
// EmbedModel implements embeddings.EmbedProvider. The id selects which
// upstream llama-swap loads (a persistent CPU member on the reference host,
// so calls are cheap and never evict GPU models).
func (p *Provider) EmbedModel(id string, opts ...embeddings.EmbedModelOption) (embeddings.EmbedModel, error) {
if err := p.requireBaseURL(); err != nil {
return nil, err
}
_ = embeddings.ApplyEmbedModelOptions(opts)
return &embedModel{p: p, id: id}, nil
}
type embedModel struct {
p *Provider
id string
}
// Embed implements embeddings.EmbedModel via POST {base}/v1/embeddings.
func (m *embedModel) Embed(ctx context.Context, req embeddings.EmbedRequest, opts ...embeddings.EmbedOption) (*embeddings.EmbedResult, error) {
req = req.Apply(opts...)
if len(req.Inputs) == 0 {
return nil, fmt.Errorf("%w: embedding requires at least one input", llm.ErrUnsupported)
}
for i, in := range req.Inputs {
if strings.TrimSpace(in) == "" {
return nil, fmt.Errorf("%w: embedding input %d is empty", llm.ErrUnsupported, i)
}
}
wire := struct {
Model string `json:"model"`
Input []string `json:"input"`
}{Model: m.id, Input: req.Inputs}
var resp struct {
Data []struct {
Index int `json:"index"`
Embedding []float32 `json:"embedding"`
} `json:"data"`
}
if err := m.p.doJSON(ctx, http.MethodPost, "/v1/embeddings", m.id, &wire, &resp); err != nil {
return nil, err
}
if len(resp.Data) != len(req.Inputs) {
return nil, &llm.APIError{Provider: m.p.name, Model: m.id,
Message: fmt.Sprintf("embeddings response has %d vectors for %d inputs", len(resp.Data), len(req.Inputs))}
}
// The OpenAI shape carries an index per entry; order by it rather than
// trusting response order.
vectors := make([][]float32, len(req.Inputs))
for _, d := range resp.Data {
if d.Index < 0 || d.Index >= len(vectors) || len(d.Embedding) == 0 {
return nil, &llm.APIError{Provider: m.p.name, Model: m.id,
Message: fmt.Sprintf("embeddings response entry index %d invalid or empty", d.Index)}
}
vectors[d.Index] = d.Embedding
}
for i, v := range vectors {
if v == nil {
return nil, &llm.APIError{Provider: m.p.name, Model: m.id,
Message: fmt.Sprintf("embeddings response missing vector for input %d", i)}
}
}
return &embeddings.EmbedResult{Vectors: vectors, Raw: &resp}, nil
}
// RerankModel implements embeddings.RerankProvider.
func (p *Provider) RerankModel(id string, opts ...embeddings.RerankModelOption) (embeddings.RerankModel, error) {
if err := p.requireBaseURL(); err != nil {
return nil, err
}
_ = embeddings.ApplyRerankModelOptions(opts)
return &rerankModel{p: p, id: id}, nil
}
type rerankModel struct {
p *Provider
id string
}
// Rerank implements embeddings.RerankModel via POST {base}/v1/rerank. The
// response parser reads only results[].index and results[].relevance_score —
// llama-server documents the shape as "might change", so stay minimal.
func (m *rerankModel) Rerank(ctx context.Context, req embeddings.RerankRequest, opts ...embeddings.RerankOption) (*embeddings.RerankResult, error) {
req = req.Apply(opts...)
if strings.TrimSpace(req.Query) == "" {
return nil, fmt.Errorf("%w: rerank requires a query", llm.ErrUnsupported)
}
if len(req.Documents) == 0 {
return nil, fmt.Errorf("%w: rerank requires at least one document", llm.ErrUnsupported)
}
if req.TopN < 0 {
return nil, fmt.Errorf("%w: rerank top_n must be >= 0, got %d", llm.ErrUnsupported, req.TopN)
}
wire := struct {
Model string `json:"model"`
Query string `json:"query"`
Documents []string `json:"documents"`
TopN int `json:"top_n,omitempty"`
}{Model: m.id, Query: req.Query, Documents: req.Documents, TopN: req.TopN}
var resp struct {
Results []struct {
Index int `json:"index"`
RelevanceScore float64 `json:"relevance_score"`
} `json:"results"`
}
if err := m.p.doJSON(ctx, http.MethodPost, "/v1/rerank", m.id, &wire, &resp); err != nil {
return nil, err
}
if len(resp.Results) == 0 {
return nil, &llm.APIError{Provider: m.p.name, Model: m.id, Message: "rerank response contained no results"}
}
out := &embeddings.RerankResult{Raw: &resp}
for _, r := range resp.Results {
if r.Index < 0 || r.Index >= len(req.Documents) {
return nil, &llm.APIError{Provider: m.p.name, Model: m.id,
Message: fmt.Sprintf("rerank result index %d out of range", r.Index)}
}
out.Results = append(out.Results, embeddings.RerankItem{Index: r.Index, Score: r.RelevanceScore})
}
sort.SliceStable(out.Results, func(i, j int) bool { return out.Results[i].Score > out.Results[j].Score })
return out, nil
}
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// music.go implements musicgen.Provider against an ACE-Step-1.5-style API
// server reached through llama-swap's /upstream passthrough (ADR-0021):
//
// POST /upstream/<id>/release_task {prompt, lyrics, ...} -> {task_id}
// POST /upstream/<id>/query_result {task_id_list: [...]} -> status+result
// GET /upstream/<id>/<result file URL> -> audio bytes
//
// The backend is an async job queue; Generate wraps it into the blocking
// one-call contract by polling, so a context deadline is the caller's
// budget for the whole job (mort's tool timeout sits well under its
// agent-runtime ceiling for exactly this reason).
package llamaswap
import (
"context"
"encoding/json"
"fmt"
"net/http"
"strings"
"time"
"gitea.stevedudenhoeffer.com/steve/majordomo/llm"
"gitea.stevedudenhoeffer.com/steve/majordomo/musicgen"
)
// musicPollInterval is the delay between query_result polls. Long enough to
// be polite to the queue, short enough that a ~10s xl-turbo song isn't
// dominated by poll latency.
const musicPollInterval = 2 * time.Second
// MusicModel implements musicgen.Provider. The id selects which upstream
// llama-swap loads.
func (p *Provider) MusicModel(id string, opts ...musicgen.ModelOption) (musicgen.Model, error) {
if err := p.requireBaseURL(); err != nil {
return nil, err
}
_ = musicgen.ApplyModelOptions(opts)
return &musicModel{p: p, id: id}, nil
}
type musicModel struct {
p *Provider
id string
}
// releaseTaskRequest is the ACE-Step POST /release_task shape. audio_duration
// is the v1 param name; verify against docs/en/API.md at smoke time — an
// unknown field is ignored upstream, degrading to the default clip length,
// never an error.
type releaseTaskRequest struct {
Prompt string `json:"prompt"`
Lyrics string `json:"lyrics,omitempty"`
AudioFormat string `json:"audio_format,omitempty"`
TaskType string `json:"task_type"`
AudioDuration int `json:"audio_duration,omitempty"`
InferenceSteps *int `json:"inference_steps,omitempty"`
Seed *int64 `json:"seed,omitempty"`
}
// queryItem is one task's poll state. `result` arrives as a JSON-encoded
// STRING (the ACE-Step API double-encodes it).
type queryItem struct {
TaskID string `json:"task_id"`
Status int `json:"status"` // 0 queued/running, 1 succeeded, 2 failed
Result string `json:"result"`
}
// musicFormatMIME maps ACE-Step's audio_format values to MIME types.
func musicFormatMIME(format string) string {
switch strings.ToLower(strings.TrimSpace(format)) {
case "wav", "wav32":
return "audio/wav"
case "flac":
return "audio/flac"
case "opus":
return "audio/ogg"
case "aac":
return "audio/aac"
default: // "", "mp3"
return "audio/mpeg"
}
}
// Generate implements musicgen.Model.
func (m *musicModel) Generate(ctx context.Context, req musicgen.Request, opts ...musicgen.Option) (*musicgen.Result, error) {
req = req.Apply(opts...)
if strings.TrimSpace(req.Prompt) == "" {
return nil, fmt.Errorf("%w: music generation requires a prompt", llm.ErrUnsupported)
}
if req.DurationSeconds < 0 {
return nil, fmt.Errorf("%w: duration must be >= 0, got %d", llm.ErrUnsupported, req.DurationSeconds)
}
taskID, err := m.releaseTask(ctx, req)
if err != nil {
return nil, err
}
item, err := m.pollResult(ctx, taskID)
if err != nil {
return nil, err
}
return m.fetchResult(ctx, req.Format, item)
}
// releaseTask submits the job and returns its task id.
func (m *musicModel) releaseTask(ctx context.Context, req musicgen.Request) (string, error) {
path, err := upstreamPath(m.id, "/release_task")
if err != nil {
return "", err
}
wire := releaseTaskRequest{
Prompt: req.Prompt,
Lyrics: req.Lyrics,
AudioFormat: req.Format,
TaskType: "text2music",
AudioDuration: req.DurationSeconds,
InferenceSteps: req.Steps,
Seed: req.Seed,
}
// Tolerant envelope: {"data": {"task_id": ...}} per the docs, with a
// top-level fallback in case the wrapper changes.
var resp struct {
Data struct {
TaskID string `json:"task_id"`
} `json:"data"`
TaskID string `json:"task_id"`
}
if err := m.p.doJSON(ctx, http.MethodPost, path, m.id, &wire, &resp); err != nil {
return "", err
}
taskID := resp.Data.TaskID
if taskID == "" {
taskID = resp.TaskID
}
if taskID == "" {
return "", &llm.APIError{Provider: m.p.name, Model: m.id, Message: "release_task returned no task_id"}
}
return taskID, nil
}
// pollResult polls query_result until the task succeeds, fails, or ctx
// expires.
func (m *musicModel) pollResult(ctx context.Context, taskID string) (*queryItem, error) {
path, err := upstreamPath(m.id, "/query_result")
if err != nil {
return nil, err
}
body := map[string]any{"task_id_list": []string{taskID}}
ticker := time.NewTicker(musicPollInterval)
defer ticker.Stop()
for {
// Tolerant envelope: items under "data" or a bare array.
var raw json.RawMessage
if err := m.p.doJSON(ctx, http.MethodPost, path, m.id, body, &raw); err != nil {
return nil, err
}
item, err := findQueryItem(raw, taskID)
if err != nil {
return nil, &llm.APIError{Provider: m.p.name, Model: m.id, Message: err.Error()}
}
switch item.Status {
case 1:
return item, nil
case 2:
return nil, &llm.APIError{Provider: m.p.name, Model: m.id,
Message: "music generation failed upstream: " + truncateForError([]byte(item.Result))}
}
select {
case <-ctx.Done():
return nil, fmt.Errorf("llama-swap: music generation: %w", ctx.Err())
case <-ticker.C:
}
}
}
// findQueryItem digs the task's entry out of the query_result payload,
// tolerating {"data": [...]}, {"data": {...}}, and bare-array envelopes.
func findQueryItem(raw json.RawMessage, taskID string) (*queryItem, error) {
var env struct {
Data json.RawMessage `json:"data"`
}
candidates := raw
if json.Unmarshal(raw, &env) == nil && len(env.Data) > 0 {
candidates = env.Data
}
var items []queryItem
if err := json.Unmarshal(candidates, &items); err != nil {
var one queryItem
if err := json.Unmarshal(candidates, &one); err != nil {
return nil, fmt.Errorf("unrecognized query_result payload shape")
}
items = []queryItem{one}
}
for i := range items {
if items[i].TaskID == taskID || items[i].TaskID == "" && len(items) == 1 {
return &items[i], nil
}
}
return nil, fmt.Errorf("query_result did not include task %s", taskID)
}
// fetchResult downloads the finished clip named by the job's result blob.
func (m *musicModel) fetchResult(ctx context.Context, format string, item *queryItem) (*musicgen.Result, error) {
var result struct {
File string `json:"file"`
}
if err := json.Unmarshal([]byte(item.Result), &result); err != nil || result.File == "" {
return nil, &llm.APIError{Provider: m.p.name, Model: m.id,
Message: "music result blob missing file URL: " + truncateForError([]byte(item.Result))}
}
// The file URL is server-relative (e.g. "/v1/audio?path=..."); route it
// back through the same upstream.
path, err := upstreamPath(m.id, result.File)
if err != nil {
return nil, err
}
raw, contentType, err := m.p.doRaw(ctx, http.MethodGet, path, m.id, "", nil, maxResponseBytes)
if err != nil {
return nil, err
}
if len(raw) == 0 {
return nil, &llm.APIError{Provider: m.p.name, Model: m.id, Message: "music response contained no audio"}
}
mimeType := mimeFromContentType(contentType, "audio/")
if mimeType == "" {
mimeType = musicFormatMIME(format)
}
return &musicgen.Result{
Audio: musicgen.Audio{Data: raw, MIME: mimeType},
Raw: json.RawMessage(item.Result),
}, nil
}
+224
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@@ -0,0 +1,224 @@
package llamaswap
import (
"context"
"encoding/json"
"errors"
"net/http"
"net/http/httptest"
"sync/atomic"
"testing"
"time"
"gitea.stevedudenhoeffer.com/steve/majordomo/embeddings"
"gitea.stevedudenhoeffer.com/steve/majordomo/llm"
"gitea.stevedudenhoeffer.com/steve/majordomo/musicgen"
)
// aceStepStub emulates the ACE-Step job API: one queued poll, then success.
func aceStepStub(t *testing.T, mp3 []byte) (*httptest.Server, *atomic.Int32) {
t.Helper()
var polls atomic.Int32
var gotRelease map[string]any
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
switch r.URL.Path {
case "/upstream/musicgen-acestep/release_task":
_ = json.NewDecoder(r.Body).Decode(&gotRelease)
if gotRelease["task_type"] != "text2music" {
t.Errorf("task_type = %v", gotRelease["task_type"])
}
_, _ = w.Write([]byte(`{"data": {"task_id": "t-1", "status": "queued"}}`))
case "/upstream/musicgen-acestep/query_result":
n := polls.Add(1)
if n == 1 {
_, _ = w.Write([]byte(`{"data": [{"task_id": "t-1", "status": 0, "result": ""}]}`))
return
}
_, _ = w.Write([]byte(`{"data": [{"task_id": "t-1", "status": 1,
"result": "{\"file\": \"/v1/audio?path=out.mp3\", \"metas\": {\"bpm\": 120}}"}]}`))
case "/upstream/musicgen-acestep/v1/audio":
if got := r.URL.Query().Get("path"); got != "out.mp3" {
t.Errorf("audio path = %q", got)
}
w.Header().Set("Content-Type", "audio/mpeg")
_, _ = w.Write(mp3)
default:
t.Errorf("unexpected path %q", r.URL.Path)
w.WriteHeader(404)
}
}))
return srv, &polls
}
func TestMusicGenerate(t *testing.T) {
mp3 := []byte("ID3fakeaudio")
srv, polls := aceStepStub(t, mp3)
defer srv.Close()
p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
mm, err := p.MusicModel("musicgen-acestep")
if err != nil {
t.Fatalf("MusicModel: %v", err)
}
// Shrink the poll interval indirectly by bounding the whole call: the
// stub succeeds on poll #2, so a generous deadline still finishes fast.
ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
defer cancel()
res, err := mm.Generate(ctx,
musicgen.Request{Prompt: "chiptune anthem about mortbux"},
musicgen.WithLyrics("mort mort mort"), musicgen.WithDuration(30))
if err != nil {
t.Fatalf("Generate: %v", err)
}
if polls.Load() < 2 {
t.Errorf("polls = %d, want >= 2 (queued then done)", polls.Load())
}
if res.Audio.MIME != "audio/mpeg" || string(res.Audio.Data) != string(mp3) {
t.Fatalf("audio = %q/%d bytes", res.Audio.MIME, len(res.Audio.Data))
}
}
func TestMusicGenerateUpstreamFailure(t *testing.T) {
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
switch r.URL.Path {
case "/upstream/musicgen-acestep/release_task":
_, _ = w.Write([]byte(`{"data": {"task_id": "t-2"}}`))
case "/upstream/musicgen-acestep/query_result":
_, _ = w.Write([]byte(`{"data": [{"task_id": "t-2", "status": 2, "result": "{\"error\": \"OOM\"}"}]}`))
}
}))
defer srv.Close()
p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
mm, _ := p.MusicModel("musicgen-acestep")
_, err := mm.Generate(context.Background(), musicgen.Request{Prompt: "p"})
var apiErr *llm.APIError
if !errors.As(err, &apiErr) {
t.Fatalf("err = %v, want APIError for failed job", err)
}
}
func TestMusicGenerateRejectsBadArgs(t *testing.T) {
p := New(WithBaseURL("http://unused"))
mm, _ := p.MusicModel("musicgen-acestep")
if _, err := mm.Generate(context.Background(), musicgen.Request{}); !errors.Is(err, llm.ErrUnsupported) {
t.Errorf("no prompt: err = %v, want ErrUnsupported", err)
}
}
func TestEmbed(t *testing.T) {
var gotBody map[string]any
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/v1/embeddings" {
t.Errorf("path = %q", r.URL.Path)
}
_ = json.NewDecoder(r.Body).Decode(&gotBody)
// Deliberately out of order: the client must sort by index.
_, _ = w.Write([]byte(`{"object":"list","data":[
{"object":"embedding","index":1,"embedding":[0.3,0.4]},
{"object":"embedding","index":0,"embedding":[0.1,0.2]}
]}`))
}))
defer srv.Close()
p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
em, err := p.EmbedModel("embed-qwen3-0.6b")
if err != nil {
t.Fatalf("EmbedModel: %v", err)
}
res, err := em.Embed(context.Background(), embeddings.EmbedRequest{Inputs: []string{"a", "b"}})
if err != nil {
t.Fatalf("Embed: %v", err)
}
if gotBody["model"] != "embed-qwen3-0.6b" {
t.Errorf("model = %v", gotBody["model"])
}
if len(res.Vectors) != 2 || res.Vectors[0][0] != 0.1 || res.Vectors[1][0] != 0.3 {
t.Fatalf("vectors = %+v (index ordering broken?)", res.Vectors)
}
}
func TestEmbedCountMismatchIsError(t *testing.T) {
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
_, _ = w.Write([]byte(`{"data":[{"index":0,"embedding":[0.1]}]}`))
}))
defer srv.Close()
p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
em, _ := p.EmbedModel("embed-qwen3-0.6b")
_, err := em.Embed(context.Background(), embeddings.EmbedRequest{Inputs: []string{"a", "b"}})
var apiErr *llm.APIError
if !errors.As(err, &apiErr) {
t.Fatalf("err = %v, want APIError for count mismatch", err)
}
}
func TestEmbedRejectsEmptyInputs(t *testing.T) {
p := New(WithBaseURL("http://unused"))
em, _ := p.EmbedModel("embed-qwen3-0.6b")
if _, err := em.Embed(context.Background(), embeddings.EmbedRequest{}); !errors.Is(err, llm.ErrUnsupported) {
t.Errorf("no inputs: err = %v, want ErrUnsupported", err)
}
if _, err := em.Embed(context.Background(), embeddings.EmbedRequest{Inputs: []string{"a", " "}}); !errors.Is(err, llm.ErrUnsupported) {
t.Errorf("blank input: err = %v, want ErrUnsupported", err)
}
}
func TestRerank(t *testing.T) {
var gotBody map[string]any
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.URL.Path != "/v1/rerank" {
t.Errorf("path = %q", r.URL.Path)
}
_ = json.NewDecoder(r.Body).Decode(&gotBody)
// Out of score order: the client must sort descending.
_, _ = w.Write([]byte(`{"results":[
{"index":0,"relevance_score":0.11},
{"index":2,"relevance_score":0.93},
{"index":1,"relevance_score":0.42}
]}`))
}))
defer srv.Close()
p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
rm, err := p.RerankModel("rerank-bge-v2-m3")
if err != nil {
t.Fatalf("RerankModel: %v", err)
}
res, err := rm.Rerank(context.Background(),
embeddings.RerankRequest{Query: "what is a panda?", Documents: []string{"a", "b", "c"}},
embeddings.WithTopN(3))
if err != nil {
t.Fatalf("Rerank: %v", err)
}
if gotBody["top_n"] != float64(3) || gotBody["query"] != "what is a panda?" {
t.Errorf("top_n/query = %v/%v", gotBody["top_n"], gotBody["query"])
}
if len(res.Results) != 3 || res.Results[0].Index != 2 || res.Results[2].Index != 0 {
t.Fatalf("results = %+v (descending sort broken?)", res.Results)
}
}
func TestRerankRejectsOutOfRangeIndex(t *testing.T) {
srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
_, _ = w.Write([]byte(`{"results":[{"index":7,"relevance_score":0.9}]}`))
}))
defer srv.Close()
p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
rm, _ := p.RerankModel("rerank-bge-v2-m3")
_, err := rm.Rerank(context.Background(),
embeddings.RerankRequest{Query: "q", Documents: []string{"a"}})
var apiErr *llm.APIError
if !errors.As(err, &apiErr) {
t.Fatalf("err = %v, want APIError for out-of-range index", err)
}
}
func TestInstructedQuery(t *testing.T) {
got := embeddings.InstructedQuery("", "how tall is everest")
want := "Instruct: Given a web search query, retrieve relevant passages that answer the query\nQuery: how tall is everest"
if got != want {
t.Errorf("InstructedQuery = %q", got)
}
}