Files
Memoh/internal/models/types.go
T
Acbox Liu 8d5c38f0e5 refactor: unify providers and models tables (#338)
* refactor: unify providers and models tables

- Rename `llm_providers` → `providers`, `llm_provider_oauth_tokens` → `provider_oauth_tokens`
- Remove `tts_providers` and `tts_models` tables; speech models now live in the unified `models` table with `type = 'speech'`
- Replace top-level `api_key`/`base_url` columns with a JSONB `config` field on `providers`
- Rename `llm_provider_id` → `provider_id` across all references
- Add `edge-speech` client type and `conf/providers/edge.yaml` default provider
- Create new read-only speech endpoints (`/speech-providers`, `/speech-models`) backed by filtered views of the unified tables
- Remove old TTS CRUD handlers; simplify speech page to read-only + test
- Update registry loader to skip malformed YAML files instead of failing entirely
- Fix YAML quoting for model names containing colons in openrouter.yaml
- Regenerate sqlc, swagger, and TypeScript SDK

* fix: exclude speech providers from providers list endpoint

ListProviders now filters out client_type matching '%-speech' so Edge
and future speech providers no longer appear on the Providers page.
ListSpeechProviders uses the same pattern match instead of hard-coding
'edge-speech'.

* fix: use explicit client_type list instead of LIKE pattern

Replace '%-speech' pattern with explicit IN ('edge-speech') for both
ListProviders (exclusion) and ListSpeechProviders (inclusion). New
speech client types must be added to both queries.

* fix: use EXECUTE for dynamic SQL in migrations referencing old schema

PL/pgSQL pre-validates column/table references in static SQL statements
inside DO blocks before evaluating IF/RETURN guards. This caused
migrations 0010-0061 to fail on fresh databases where the canonical
schema uses `providers`/`provider_id` instead of `llm_providers`/
`llm_provider_id`.

Wrap all SQL that references potentially non-existent old schema objects
(llm_providers, llm_provider_id, tts_providers, tts_models, etc.) in
EXECUTE strings so they are only parsed at runtime when actually reached.

* fix: revert canonical schema to use llm_providers for migration compatibility

The CI migrations workflow (up → down → up) failed because 0061 down
renames `providers` back to `llm_providers`, but 0001 down only dropped
`providers` — leaving `llm_providers` as a remnant. On the second
migrate up, 0010 found the stale `llm_providers` and tried to reference
`models.llm_provider_id` which no longer existed.

Revert 0001 canonical schema to use original names (llm_providers,
tts_providers, tts_models) so incremental migrations work naturally and
0061 handles the final rename. Remove EXECUTE wrappers and unnecessary
guards from migrations that now always operate on llm_providers.

* fix: icons

* fix: sync canonical schema with 0061 migration to fix sqlc column mismatch

0001_init.up.sql still used old names (llm_providers, llm_provider_id)
and included dropped tts_providers/tts_models tables. sqlc could not
parse the PL/pgSQL EXECUTE in migration 0061, so generated code retained
stale columns (input_modalities, supports_reasoning) causing runtime
"column does not exist" errors when adding models.

- Update 0001_init.up.sql to current schema (providers, provider_id,
  no tts tables, add provider_oauth_tokens)
- Use ALTER TABLE IF EXISTS in 0010/0041/0042 for backward compat
- Regenerate sqlc

* fix: guard all legacy migrations against fresh schema for CI compat

On fresh databases, 0001_init.up.sql creates providers/provider_id
(not llm_providers/llm_provider_id). Migrations 0013, 0041, 0046, 0047
referenced the old names without guards, causing CI migration failures.

- 0013: check llm_provider_id column exists before adding old constraint
- 0041: check llm_providers table exists before backfill/constraint DDL
- 0046: wrap CREATE TABLE in DO block with llm_providers existence check
- 0047: use ALTER TABLE IF EXISTS + DO block guard
2026-04-08 01:03:44 +08:00

166 lines
4.1 KiB
Go

package models
import (
"errors"
"github.com/google/uuid"
)
type ModelType string
const (
ModelTypeChat ModelType = "chat"
ModelTypeEmbedding ModelType = "embedding"
ModelTypeSpeech ModelType = "speech"
)
type ClientType string
const (
ClientTypeOpenAIResponses ClientType = "openai-responses"
ClientTypeOpenAICompletions ClientType = "openai-completions"
ClientTypeAnthropicMessages ClientType = "anthropic-messages"
ClientTypeGoogleGenerativeAI ClientType = "google-generative-ai"
ClientTypeOpenAICodex ClientType = "openai-codex"
ClientTypeEdgeSpeech ClientType = "edge-speech"
)
const (
CompatVision = "vision"
CompatToolCall = "tool-call"
CompatImageOutput = "image-output"
CompatReasoning = "reasoning"
)
const (
ReasoningEffortNone = "none"
ReasoningEffortLow = "low"
ReasoningEffortMedium = "medium"
ReasoningEffortHigh = "high"
ReasoningEffortXHigh = "xhigh"
)
// validCompatibilities enumerates accepted compatibility tokens.
var validCompatibilities = map[string]struct{}{
CompatVision: {}, CompatToolCall: {}, CompatImageOutput: {}, CompatReasoning: {},
}
var validReasoningEfforts = map[string]struct{}{
ReasoningEffortNone: {},
ReasoningEffortLow: {},
ReasoningEffortMedium: {},
ReasoningEffortHigh: {},
ReasoningEffortXHigh: {},
}
// ModelConfig holds the JSONB config stored per model.
type ModelConfig struct {
Dimensions *int `json:"dimensions,omitempty"`
Compatibilities []string `json:"compatibilities,omitempty"`
ContextWindow *int `json:"context_window,omitempty"`
ReasoningEfforts []string `json:"reasoning_efforts,omitempty"`
}
type Model struct {
ModelID string `json:"model_id"`
Name string `json:"name"`
ProviderID string `json:"provider_id"`
Type ModelType `json:"type"`
Config ModelConfig `json:"config"`
}
func (m *Model) Validate() error {
if m.ModelID == "" {
return errors.New("model ID is required")
}
if m.ProviderID == "" {
return errors.New("provider ID is required")
}
if _, err := uuid.Parse(m.ProviderID); err != nil {
return errors.New("provider ID must be a valid UUID")
}
if m.Type != ModelTypeChat && m.Type != ModelTypeEmbedding && m.Type != ModelTypeSpeech {
return errors.New("invalid model type")
}
if m.Type == ModelTypeEmbedding {
if m.Config.Dimensions == nil || *m.Config.Dimensions <= 0 {
return errors.New("dimensions must be greater than 0 for embedding models")
}
}
for _, c := range m.Config.Compatibilities {
if _, ok := validCompatibilities[c]; !ok {
return errors.New("invalid compatibility: " + c)
}
}
for _, effort := range m.Config.ReasoningEfforts {
if _, ok := validReasoningEfforts[effort]; !ok {
return errors.New("invalid reasoning effort: " + effort)
}
}
return nil
}
// HasCompatibility checks whether the model config includes the given capability.
func (m *Model) HasCompatibility(c string) bool {
for _, v := range m.Config.Compatibilities {
if v == c {
return true
}
}
return false
}
type AddRequest Model
type AddResponse struct {
ID string `json:"id"`
ModelID string `json:"model_id"`
}
type GetRequest struct {
ID string `json:"id"`
}
type GetResponse struct {
ID string `json:"id"`
ModelID string `json:"model_id"`
Model
}
type UpdateRequest Model
type ListRequest struct {
Type ModelType `json:"type,omitempty"`
}
type DeleteRequest struct {
ID string `json:"id,omitempty"`
ModelID string `json:"model_id,omitempty"`
}
type DeleteResponse struct {
Message string `json:"message"`
}
type CountResponse struct {
Count int64 `json:"count"`
}
// TestStatus represents the outcome of probing a model.
type TestStatus string
const (
TestStatusOK TestStatus = "ok"
TestStatusAuthError TestStatus = "auth_error"
TestStatusModelNotSupported TestStatus = "model_not_supported"
TestStatusError TestStatus = "error"
)
// TestResponse is returned by POST /models/:id/test.
type TestResponse struct {
Status TestStatus `json:"status"`
Reachable bool `json:"reachable"`
LatencyMs int64 `json:"latency_ms,omitempty"`
Message string `json:"message,omitempty"`
}