Simplify references and output instructions in LLM prompts
This commit is contained in:
@@ -21,7 +21,8 @@ type transcriptSectionPayload struct {
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}
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// MarshalTranscriptSectionJSON builds the standardized transcript-section JSON
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// payload consumed by proposal prompt templates.
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// payload consumed by proposal prompt templates. IDs are one-based positions in
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// this request; the transcript and its actual IDs are unchanged.
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func MarshalTranscriptSectionJSON(transcript *schema.Transcript, sectionIndex int) ([]byte, error) {
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payload := transcriptSectionPayload{
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SectionIndex: sectionIndex,
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@@ -29,9 +30,9 @@ func MarshalTranscriptSectionJSON(transcript *schema.Transcript, sectionIndex in
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}
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if transcript != nil {
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for _, s := range transcript.Segments {
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for i, s := range transcript.Segments {
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payload.Segments = append(payload.Segments, transcriptSectionSegment{
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ID: s.ID,
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ID: i + 1,
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Speaker: s.Speaker,
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Start: s.Start,
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End: s.End,
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@@ -10,7 +10,7 @@ import (
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func TestMarshalTranscriptSectionJSONShape(t *testing.T) {
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transcript := &schema.Transcript{Segments: []schema.Segment{
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{ID: 1, Speaker: "A", Start: 0.1, End: 1.2, Text: "alpha", Categories: []string{"session", "intro"}},
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{ID: 817, Speaker: "A", Start: 0.1, End: 1.2, Text: "alpha", Categories: []string{"session", "intro"}},
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}}
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raw, err := MarshalTranscriptSectionJSON(transcript, 3)
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@@ -61,7 +61,7 @@ func TestRepairedProposalStillFacesDomainChecks(t *testing.T) {
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if err != nil {
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t.Fatal(err)
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}
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generated, err := GenerateCandidates(context.Background(), Request{ModuleKey: "grammar", ModuleInstance: "grammar", ReplacementPolicy: proposals.ReplacementPolicyRequireUnique, Config: &loaded.Config, PromptID: prompts.PromptIDModuleGrammarProposal, PromptVersion: prompts.VersionV1, Variables: vars, LLMClient: client})
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generated, err := GenerateCandidates(context.Background(), Request{WorkingTranscript: transcript, ModuleKey: "grammar", ModuleInstance: "grammar", ReplacementPolicy: proposals.ReplacementPolicyRequireUnique, Config: &loaded.Config, PromptID: prompts.PromptIDModuleGrammarProposal, PromptVersion: prompts.VersionV1, Variables: vars, LLMClient: client})
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if err != nil {
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t.Fatal(err)
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}
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@@ -36,10 +36,10 @@ type InteractionArtifacts struct {
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// StructuredCorrectionProposal is one LLM response correction payload.
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type StructuredCorrectionProposal struct {
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TargetSegmentID int `json:"id"`
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OriginalText string `json:"original_text"`
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CorrectedText string `json:"corrected_text"`
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Confidence float64 `json:"confidence"`
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SegmentReference int `json:"id"`
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OriginalText string `json:"original_text"`
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CorrectedText string `json:"corrected_text"`
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Confidence float64 `json:"confidence"`
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}
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// StructuredCorrectionSet is the reusable structured LLM response model for
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@@ -142,6 +142,7 @@ func GenerateCandidates(ctx context.Context, req Request) (Result, error) {
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"replacement_policy": req.ReplacementPolicy,
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"section": req.Section,
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"start_index": req.StartIndex,
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"segment_ids": segmentIDs(req.WorkingTranscript),
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"prompt": completion.Prompt,
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}
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requestMetadata["response_schema"] = responseschema.MustLookup(responseschema.CorrectionSetKey).DiagnosticsMap()
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@@ -185,8 +186,13 @@ func GenerateCandidates(ctx context.Context, req Request) (Result, error) {
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corrections := make([]proposals.CorrectionProposal, 0, len(response.Corrections))
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enriched := make([]proposals.EnrichedCorrectionProposal, 0, len(response.Corrections))
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for i, raw := range response.Corrections {
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// Unknown references remain invalid candidates for the existing domain validators.
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targetID := 0
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if req.WorkingTranscript != nil && raw.SegmentReference > 0 && raw.SegmentReference <= len(req.WorkingTranscript.Segments) {
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targetID = req.WorkingTranscript.Segments[raw.SegmentReference-1].ID
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}
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candidate := proposals.CorrectionProposal{
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TargetSegmentID: raw.TargetSegmentID,
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TargetSegmentID: targetID,
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OriginalText: raw.OriginalText,
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CorrectedText: raw.CorrectedText,
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Confidence: raw.Confidence,
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@@ -247,3 +253,15 @@ func (a diagnosticsWriterAdapter) WriteInteraction(stage string, requestMetadata
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ErrorPayloadPath: artifacts.ErrorPayloadPath,
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}, nil
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}
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// segmentIDs records the request-local reference mapping in debug metadata.
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func segmentIDs(transcript *schema.Transcript) []int {
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if transcript == nil {
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return nil
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}
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ids := make([]int, len(transcript.Segments))
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for i, segment := range transcript.Segments {
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ids[i] = segment.ID
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}
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return ids
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}
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@@ -12,6 +12,7 @@ import (
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ck "gitea.maximumdirect.net/eric/ConfigKit"
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"gitea.maximumdirect.net/eric/audita/internal/core/config"
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"gitea.maximumdirect.net/eric/audita/internal/core/schema"
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"gitea.maximumdirect.net/eric/audita/internal/framework/contracts"
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"gitea.maximumdirect.net/eric/audita/internal/framework/outcomes"
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"gitea.maximumdirect.net/eric/audita/internal/framework/proposals"
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@@ -77,6 +78,7 @@ func defaultRequest(t *testing.T) Request {
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PromptID: "modules.grammar.proposal",
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PromptVersion: "v1",
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Variables: map[string]string{"SectionJSON": "[]"},
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WorkingTranscript: &schema.Transcript{Segments: []schema.Segment{{ID: 7, Text: "teh"}, {ID: 25, Text: "other"}}},
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StartIndex: 0,
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}
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}
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@@ -86,7 +88,7 @@ func TestGenerateCandidatesSuccess(t *testing.T) {
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responses: []StructuredCorrectionSet{
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{
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Corrections: []StructuredCorrectionProposal{
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{TargetSegmentID: 7, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9},
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{SegmentReference: 1, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9},
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},
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},
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},
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@@ -104,6 +106,9 @@ func TestGenerateCandidatesSuccess(t *testing.T) {
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if len(got.Corrections) != 1 || len(got.Enriched) != 1 {
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t.Fatalf("unexpected proposal lengths: %+v", got)
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}
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if got.Corrections[0].TargetSegmentID != 7 {
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t.Fatalf("local reference not resolved: %+v", got.Corrections)
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}
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if got.Enriched[0].ProposalIndex != 10 {
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t.Fatalf("expected proposal index 10, got %d", got.Enriched[0].ProposalIndex)
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}
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@@ -118,7 +123,7 @@ func TestGenerateCandidatesSuccess(t *testing.T) {
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func TestGenerateCandidatesUsesCorrectionSetSchema(t *testing.T) {
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client := &fakeStructuredClient{
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responses: []StructuredCorrectionSet{
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{Corrections: []StructuredCorrectionProposal{{TargetSegmentID: 1, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9}}},
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{Corrections: []StructuredCorrectionProposal{{SegmentReference: 1, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9}}},
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},
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}
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req := defaultRequest(t)
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@@ -140,7 +145,7 @@ func TestGenerateCandidatesUsesCorrectionSetSchema(t *testing.T) {
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func TestGenerateCandidatesDiagnosticsIncludeSchemaMetadata(t *testing.T) {
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client := &fakeStructuredClient{
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responses: []StructuredCorrectionSet{
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{Corrections: []StructuredCorrectionProposal{{TargetSegmentID: 1, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9}}},
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{Corrections: []StructuredCorrectionProposal{{SegmentReference: 1, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9}}},
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},
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}
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diag := &captureDiagnosticsWriter{}
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@@ -172,7 +177,7 @@ func TestGenerateCandidatesInvalidCorrectionIsPreservedForLaterValidation(t *tes
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responses: []StructuredCorrectionSet{
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{
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Corrections: []StructuredCorrectionProposal{
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{TargetSegmentID: 0, OriginalText: "x", CorrectedText: "", Confidence: 1.2},
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{SegmentReference: 0, OriginalText: "x", CorrectedText: "", Confidence: 1.2},
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},
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},
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},
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@@ -235,8 +240,8 @@ func TestGenerateCandidatesValidEmptyResponseIsSuccessful(t *testing.T) {
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func TestGenerateCandidatesDeterministicIndexAssignment(t *testing.T) {
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baseResponse := StructuredCorrectionSet{
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Corrections: []StructuredCorrectionProposal{
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{TargetSegmentID: 1, OriginalText: "a", CorrectedText: "A", Confidence: 0.9},
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{TargetSegmentID: 2, OriginalText: "b", CorrectedText: "B", Confidence: 0.9},
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{SegmentReference: 1, OriginalText: "a", CorrectedText: "A", Confidence: 0.9},
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{SegmentReference: 2, OriginalText: "b", CorrectedText: "B", Confidence: 0.9},
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},
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}
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clientA := &fakeStructuredClient{responses: []StructuredCorrectionSet{baseResponse}}
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@@ -266,8 +271,8 @@ func TestGenerateCandidatesDeterministicIndexAssignment(t *testing.T) {
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func TestGenerateCandidatesMultipleSectionsStableMetadata(t *testing.T) {
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client := &fakeStructuredClient{
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responses: []StructuredCorrectionSet{
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{Corrections: []StructuredCorrectionProposal{{TargetSegmentID: 1, OriginalText: "alpha", CorrectedText: "ALPHA", Confidence: 0.9}}},
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{Corrections: []StructuredCorrectionProposal{{TargetSegmentID: 3, OriginalText: "charlie", CorrectedText: "CHARLIE", Confidence: 0.9}}},
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{Corrections: []StructuredCorrectionProposal{{SegmentReference: 1, OriginalText: "alpha", CorrectedText: "ALPHA", Confidence: 0.9}}},
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{Corrections: []StructuredCorrectionProposal{{SegmentReference: 1, OriginalText: "charlie", CorrectedText: "CHARLIE", Confidence: 0.9}}},
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},
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}
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section0 := contracts.SectionMetadata{Index: 0}
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@@ -276,6 +281,7 @@ func TestGenerateCandidatesMultipleSectionsStableMetadata(t *testing.T) {
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req0 := defaultRequest(t)
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req0.LLMClient = client
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req0.Section = §ion0
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req0.WorkingTranscript = &schema.Transcript{Segments: []schema.Segment{{ID: 71, Text: "alpha"}}}
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req0.StartIndex = 0
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part0, err := GenerateCandidates(context.Background(), req0)
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if err != nil {
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@@ -285,6 +291,7 @@ func TestGenerateCandidatesMultipleSectionsStableMetadata(t *testing.T) {
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req1 := defaultRequest(t)
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req1.LLMClient = client
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req1.Section = §ion1
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req1.WorkingTranscript = &schema.Transcript{Segments: []schema.Segment{{ID: 903, Text: "charlie"}}}
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req1.StartIndex = len(part0.Enriched)
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part1, err := GenerateCandidates(context.Background(), req1)
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if err != nil {
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@@ -295,6 +302,9 @@ func TestGenerateCandidatesMultipleSectionsStableMetadata(t *testing.T) {
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if len(all) != 2 {
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t.Fatalf("expected 2 proposals, got %d", len(all))
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}
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if all[0].TargetSegmentID != 71 || all[1].TargetSegmentID != 903 {
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t.Fatalf("section references did not reset: %+v", all)
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}
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if all[0].ProposalIndex != 0 || all[1].ProposalIndex != 1 {
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t.Fatalf("unexpected proposal indexes: %d, %d", all[0].ProposalIndex, all[1].ProposalIndex)
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}
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@@ -308,7 +318,7 @@ func TestGenerateCandidatesDiagnosticsWrittenAndRedacted(t *testing.T) {
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validationSecret := "proposal-validation-secret"
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client := &fakeStructuredClient{
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responses: []StructuredCorrectionSet{
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{Corrections: []StructuredCorrectionProposal{{TargetSegmentID: 1, OriginalText: validationSecret, CorrectedText: "safe", Confidence: 0.9}}},
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{Corrections: []StructuredCorrectionProposal{{SegmentReference: 1, OriginalText: validationSecret, CorrectedText: "safe", Confidence: 0.9}}},
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},
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}
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t.Setenv("PRIMARY_SECRET", primarySecret)
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@@ -2,6 +2,7 @@ package proposal_generation
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import (
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"context"
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"encoding/json"
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"errors"
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"testing"
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@@ -17,7 +18,7 @@ import (
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func TestExecuteModuleProposalBuildsMessagesFromSectionAndDescription(t *testing.T) {
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client := &fakeStructuredClient{
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responses: []StructuredCorrectionSet{
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{Corrections: []StructuredCorrectionProposal{{TargetSegmentID: 1, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9}}},
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{Corrections: []StructuredCorrectionProposal{{SegmentReference: 1, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9}}},
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},
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}
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section := contracts.SectionMetadata{Index: 7}
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@@ -135,3 +136,47 @@ func TestExecuteModuleProposalPreservesFatalOperation(t *testing.T) {
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t.Fatalf("fatal operation lost: %+v, %v", result, err)
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}
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}
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func TestModuleProposalMapsLocalReferencesWithoutGuessing(t *testing.T) {
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transcript := &schema.Transcript{Segments: []schema.Segment{{ID: 71, Text: "teh cat"}, {ID: 903, Text: "uh hello"}}}
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client := &fakeStructuredClient{responses: []StructuredCorrectionSet{{Corrections: []StructuredCorrectionProposal{
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{SegmentReference: 2, OriginalText: "uh ", CorrectedText: "", Confidence: .9},
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{SegmentReference: 1, OriginalText: "teh", CorrectedText: "the", Confidence: .9},
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{SegmentReference: 2, OriginalText: "hello", CorrectedText: "Hello", Confidence: .9},
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{SegmentReference: 71, OriginalText: "teh", CorrectedText: "the", Confidence: .9},
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}}}}
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result, err := ExecuteModuleProposal(context.Background(), ModuleProposalRequest{
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ProposalRequest: contracts.ProposalRequest{
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ExecutionContext: contracts.ExecutionContext{WorkingTranscript: transcript},
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RunSpec: contracts.ModuleRunSpec{ModuleKey: "grammar", InstanceName: "grammar", ReplacementPolicy: proposals.ReplacementPolicyRequireUnique},
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LLMClient: client,
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},
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PromptID: prompts.PromptIDModuleGrammarProposal, BuildVariables: BuildProposalVariables,
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})
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if err != nil {
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t.Fatal(err)
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}
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var payload struct {
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Segments []struct {
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ID int `json:"id"`
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Text string `json:"text"`
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} `json:"segments"`
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}
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if err := json.Unmarshal([]byte(client.calls[0].Variables["SectionJSON"]), &payload); err != nil {
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t.Fatal(err)
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}
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if len(payload.Segments) != 2 || payload.Segments[0].ID != 1 || payload.Segments[1].ID != 2 || payload.Segments[1].Text != "uh hello" {
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t.Fatalf("request references: %+v", payload)
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}
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if len(result.Proposals) != 4 {
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t.Fatalf("proposals: %+v", result)
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}
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for i, id := range []int{903, 71, 903, 0} {
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if result.Proposals[i].TargetSegmentID != id {
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t.Fatalf("mapped proposal %d: %+v", i, result.Proposals[i])
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}
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}
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if result.Proposals[0].CorrectedText != "" || transcript.Segments[0].ID != 71 || transcript.Segments[1].ID != 903 {
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t.Fatal("mapping changed deletion or source identities")
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}
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}
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@@ -621,7 +621,7 @@ func (c *captureContractStructuredClient) CompleteStructured(ctx context.Context
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if target, ok := out.(*validators.LLMValidationResponse); ok {
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*target = validators.LLMValidationResponse{
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Validations: []validators.LLMValidationDecision{
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{CorrectionIndex: 0, Approved: true, Confidence: 0.9, Reason: "ok"},
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{CorrectionIndex: 1, Approved: true, Confidence: 0.9, Reason: "ok"},
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},
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}
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}
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@@ -653,7 +653,7 @@ func (c *stageAwareStructuredClient) CompleteStructured(ctx context.Context, req
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target := out.(*validators.LLMValidationResponse)
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*target = validators.LLMValidationResponse{
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Validations: []validators.LLMValidationDecision{
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{CorrectionIndex: section, Approved: true, Confidence: 0.99, Reason: "ok"},
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{CorrectionIndex: 1, Approved: true, Confidence: 0.99, Reason: "ok"},
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},
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}
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return contracts.StructuredCompletionResponse{}, nil
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@@ -942,7 +942,7 @@ func (f *fakeStructuredClient) CompleteStructured(ctx context.Context, req contr
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}
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func TestRunnerLLMValidatorApprovalApplied(t *testing.T) {
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client := &fakeStructuredClient{responses: []validators.LLMValidationResponse{{Validations: []validators.LLMValidationDecision{{CorrectionIndex: 0, Approved: true, Confidence: 0.9, Reason: "ok"}}}}}
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client := &fakeStructuredClient{responses: []validators.LLMValidationResponse{{Validations: []validators.LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: 0.9, Reason: "ok"}}}}}
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llmValidator, err := validators.NewLLMBackedValidator("spoken_form_plausibility_review", validators.LLMValidatorTypeSpokenFormPlausibility)
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if err != nil {
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t.Fatalf("NewLLMBackedValidator: %v", err)
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@@ -969,7 +969,7 @@ func TestRunnerLLMValidatorApprovalApplied(t *testing.T) {
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}
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func TestRunnerLLMValidatorRejectionPreventsApplication(t *testing.T) {
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client := &fakeStructuredClient{responses: []validators.LLMValidationResponse{{Validations: []validators.LLMValidationDecision{{CorrectionIndex: 0, Approved: false, Confidence: 0.95, Reason: "reject"}}}}}
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client := &fakeStructuredClient{responses: []validators.LLMValidationResponse{{Validations: []validators.LLMValidationDecision{{CorrectionIndex: 1, Approved: false, Confidence: 0.95, Reason: "reject"}}}}}
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llmValidator, _ := validators.NewLLMBackedValidator("spoken_form_plausibility_review", validators.LLMValidatorTypeSpokenFormPlausibility)
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r := New(fakeFactory{modules: map[string]contracts.TranscriptModule{
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"m": fakeModule{key: "m", policy: proposals.ReplacementPolicyRequireUnique, validators: []contracts.Validator{llmValidator}, proposeF: func(req contracts.ProposalRequest) ([]proposals.CorrectionProposal, error) {
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@@ -1028,8 +1028,8 @@ func TestRunnerLLMValidatorMalformedResponseRejectsBatchAndKeepsPartialProgress(
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func TestRunnerReconciledSurvivorsCompleteLaterValidation(t *testing.T) {
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client := &fakeStructuredClient{responses: []validators.LLMValidationResponse{{Validations: []validators.LLMValidationDecision{
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{CorrectionIndex: 0, Approved: true, Confidence: .9, Reason: "ok"},
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{CorrectionIndex: 2, Approved: true, Confidence: .9, Reason: "ok"},
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{CorrectionIndex: 1, Approved: true, Confidence: .9, Reason: "ok"},
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{CorrectionIndex: 3, Approved: true, Confidence: .9, Reason: "ok"},
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{CorrectionIndex: 99, Approved: true, Confidence: .9, Reason: "unexpected"},
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}}}}
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first, _ := validators.NewLLMBackedValidator("editorial_review", validators.LLMValidatorTypeEditorialReview)
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@@ -1095,8 +1095,8 @@ func TestRunnerLLMValidatorMissingDecisionRejectsBatch(t *testing.T) {
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func TestRunnerLLMValidatorDuplicateDecisionRejectsBatch(t *testing.T) {
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client := &fakeStructuredClient{responses: []validators.LLMValidationResponse{{Validations: []validators.LLMValidationDecision{
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{CorrectionIndex: 0, Approved: true, Confidence: 0.9, Reason: "ok"},
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{CorrectionIndex: 0, Approved: false, Confidence: 0.9, Reason: "dup"},
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{CorrectionIndex: 1, Approved: true, Confidence: 0.9, Reason: "ok"},
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{CorrectionIndex: 1, Approved: false, Confidence: 0.9, Reason: "dup"},
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}}}}
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llmValidator, _ := validators.NewLLMBackedValidator("spoken_form_plausibility_review", validators.LLMValidatorTypeSpokenFormPlausibility)
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r := New(fakeFactory{modules: map[string]contracts.TranscriptModule{
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@@ -1122,7 +1122,7 @@ func (lenEstimator) EstimateTokens(text string) int { return len(text) }
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func TestRunnerLLMValidatorBatching(t *testing.T) {
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client := &fakeStructuredClient{responses: []validators.LLMValidationResponse{
|
||||
{Validations: []validators.LLMValidationDecision{{CorrectionIndex: 0, Approved: true, Confidence: 0.9, Reason: "ok"}}},
|
||||
{Validations: []validators.LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: 0.9, Reason: "ok"}}},
|
||||
{Validations: []validators.LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: 0.9, Reason: "ok"}}},
|
||||
}}
|
||||
llmValidator, _ := validators.NewLLMBackedValidator("spoken_form_plausibility_review", validators.LLMValidatorTypeSpokenFormPlausibility)
|
||||
@@ -1159,7 +1159,7 @@ func TestRunnerLLMValidatorBatching(t *testing.T) {
|
||||
func TestRunnerLLMValidatorDiagnosticsWrittenAndRedacted(t *testing.T) {
|
||||
primarySecret := "runner-primary-secret"
|
||||
validationSecret := "runner-validation-secret"
|
||||
client := &fakeStructuredClient{responses: []validators.LLMValidationResponse{{Validations: []validators.LLMValidationDecision{{CorrectionIndex: 0, Approved: true, Confidence: 0.9, Reason: validationSecret}}}}}
|
||||
client := &fakeStructuredClient{responses: []validators.LLMValidationResponse{{Validations: []validators.LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: 0.9, Reason: validationSecret}}}}}
|
||||
llmValidator, _ := validators.NewLLMBackedValidator("spoken_form_plausibility_review", validators.LLMValidatorTypeSpokenFormPlausibility)
|
||||
t.Setenv("RUNNER_PRIMARY_KEY", primarySecret)
|
||||
t.Setenv("RUNNER_VALIDATION_KEY", validationSecret)
|
||||
@@ -1265,7 +1265,7 @@ func TestRunnerProposalGenerationHelperFlowsThroughPipeline(t *testing.T) {
|
||||
responses: []proposal_generation.StructuredCorrectionSet{
|
||||
{
|
||||
Corrections: []proposal_generation.StructuredCorrectionProposal{
|
||||
{TargetSegmentID: 1, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9},
|
||||
{SegmentReference: 1, OriginalText: "teh", CorrectedText: "the", Confidence: 0.9},
|
||||
},
|
||||
},
|
||||
},
|
||||
@@ -1308,7 +1308,7 @@ func TestRunnerGrammarModuleUsesConfidenceThreshold(t *testing.T) {
|
||||
responses: []proposal_generation.StructuredCorrectionSet{
|
||||
{
|
||||
Corrections: []proposal_generation.StructuredCorrectionProposal{
|
||||
{TargetSegmentID: 1, OriginalText: "hello ,world", CorrectedText: "Hello, world", Confidence: 0.5},
|
||||
{SegmentReference: 1, OriginalText: "hello ,world", CorrectedText: "Hello, world", Confidence: 0.5},
|
||||
},
|
||||
},
|
||||
},
|
||||
@@ -1342,7 +1342,7 @@ func TestRunnerGlossaryModuleUsesConfidenceThreshold(t *testing.T) {
|
||||
responses: []proposal_generation.StructuredCorrectionSet{
|
||||
{
|
||||
Corrections: []proposal_generation.StructuredCorrectionProposal{
|
||||
{TargetSegmentID: 1, OriginalText: "gestures", CorrectedText: "Jesters", Confidence: 0.5},
|
||||
{SegmentReference: 1, OriginalText: "gestures", CorrectedText: "Jesters", Confidence: 0.5},
|
||||
},
|
||||
},
|
||||
},
|
||||
|
||||
@@ -70,7 +70,7 @@ func ChunkLLMValidationItems(items []LLMValidationItem, maxPromptTokens int, est
|
||||
}
|
||||
|
||||
func estimateBatchTokens(estimator chunking.TokenEstimator, batch []LLMValidationItem) (int, error) {
|
||||
payload, err := json.Marshal(batch)
|
||||
payload, err := json.Marshal(localValidationItems(batch))
|
||||
if err != nil {
|
||||
return 0, fmt.Errorf("marshal batch payload: %w", err)
|
||||
}
|
||||
|
||||
@@ -8,8 +8,8 @@ import (
|
||||
// validationContext supplies adjacent source segments within the current chunk
|
||||
// and glossary definitions mentioned in the candidate or that local context.
|
||||
// These fields travel in each item so batching accounts for their size.
|
||||
func validationContext(req Request, segmentID int, corrected string) ([]schema.Segment, []schema.GlossaryEntry) {
|
||||
var neighbors []schema.Segment
|
||||
func validationContext(req Request, segmentID int, corrected string) ([]NeighboringSegment, []schema.GlossaryEntry) {
|
||||
var neighbors []NeighboringSegment
|
||||
var source string
|
||||
if req.WorkingTranscript != nil {
|
||||
segments := req.WorkingTranscript.Segments
|
||||
@@ -19,10 +19,10 @@ func validationContext(req Request, segmentID int, corrected string) ([]schema.S
|
||||
}
|
||||
source = segment.Text
|
||||
if i > 0 {
|
||||
neighbors = append(neighbors, segments[i-1])
|
||||
neighbors = append(neighbors, neighboringSegment("preceding", segments[i-1]))
|
||||
}
|
||||
if i+1 < len(segments) {
|
||||
neighbors = append(neighbors, segments[i+1])
|
||||
neighbors = append(neighbors, neighboringSegment("following", segments[i+1]))
|
||||
}
|
||||
break
|
||||
}
|
||||
@@ -66,3 +66,7 @@ func fitValidationContext(item LLMValidationItem, budget int, estimator chunking
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func neighboringSegment(position string, segment schema.Segment) NeighboringSegment {
|
||||
return NeighboringSegment{Position: position, Speaker: segment.Speaker, Text: segment.Text, Categories: segment.Categories}
|
||||
}
|
||||
|
||||
@@ -29,7 +29,7 @@ func TestValidationContextCarriesAdjacentEvidenceAndRelevantDefinitions(t *testi
|
||||
t.Fatalf("payload: %+v immediate: %+v", payload, immediate)
|
||||
}
|
||||
item := payload.Items[0]
|
||||
if len(item.NeighboringSegments) != 2 || item.NeighboringSegments[0].ID != 1 || item.NeighboringSegments[1].ID != 3 || len(item.GlossaryEntries) != 2 || item.GlossaryEntries[0].Name != "Jesters" || item.GlossaryEntries[1].Name != "Lyra" {
|
||||
if len(item.NeighboringSegments) != 2 || item.NeighboringSegments[0].Position != "preceding" || item.NeighboringSegments[1].Position != "following" || len(item.GlossaryEntries) != 2 || item.GlossaryEntries[0].Name != "Jesters" || item.GlossaryEntries[1].Name != "Lyra" {
|
||||
t.Fatalf("context: %+v", item)
|
||||
}
|
||||
variables, err := BuildValidationVariables(payload.Items, "")
|
||||
@@ -40,6 +40,9 @@ func TestValidationContextCarriesAdjacentEvidenceAndRelevantDefinitions(t *testi
|
||||
if err := json.Unmarshal([]byte(variables["PayloadJSON"]), &rendered); err != nil {
|
||||
t.Fatal(err)
|
||||
}
|
||||
if strings.Contains(variables["PayloadJSON"], `"id":`) || rendered[0].CorrectionIndex != 1 || payload.Items[0].CorrectionIndex != 7 {
|
||||
t.Fatalf("leaked internal identity or mutated request: %s", variables["PayloadJSON"])
|
||||
}
|
||||
if len(rendered[0].NeighboringSegments) != 2 || rendered[0].GlossaryEntries[0].Summary != "A traveling troupe" {
|
||||
t.Fatalf("rendered context: %+v", rendered)
|
||||
}
|
||||
@@ -60,7 +63,7 @@ func TestValidationContextFitsBudgetWithoutDiscardingCandidate(t *testing.T) {
|
||||
t.Fatal(err)
|
||||
}
|
||||
enriched := base
|
||||
enriched.NeighboringSegments = []schema.Segment{{ID: 2, Text: strings.Repeat("long context ", 300)}}
|
||||
enriched.NeighboringSegments = []NeighboringSegment{{Position: "following", Text: strings.Repeat("long context ", 300)}}
|
||||
enriched.GlossaryEntries = []schema.GlossaryEntry{{Name: "cat", Summary: strings.Repeat("long definition ", 300)}}
|
||||
fitted := fitValidationContext(enriched, required, estimator)
|
||||
tokens, err := estimateBatchTokens(estimator, []LLMValidationItem{fitted})
|
||||
|
||||
@@ -18,7 +18,7 @@ import (
|
||||
)
|
||||
|
||||
func TestValidationRepairAndRuntimeFailuresThroughDomainBoundary(t *testing.T) {
|
||||
valid := `{"validations":[{"correction_index":0,"approved":true,"confidence":0.9,"reason":"ok"}]}`
|
||||
valid := `{"validations":[{"correction_index":1,"approved":true,"confidence":0.9,"reason":"ok"}]}`
|
||||
for _, tc := range []struct {
|
||||
name string
|
||||
responses []string
|
||||
|
||||
@@ -17,16 +17,17 @@ type StructuredCompletionRequest = structuredoutput.Request
|
||||
type StructuredCompletionResponse = structuredoutput.Response
|
||||
type StructuredLLMClient = structuredoutput.Client
|
||||
|
||||
// LLMValidationItem is one candidate correction payload passed to LLM validators.
|
||||
// LLMValidationItem retains the internal proposal index until prompt encoding.
|
||||
// BuildValidationVariables substitutes a one-based reference for each batch.
|
||||
type LLMValidationItem struct {
|
||||
CorrectionIndex int `json:"correction_index"`
|
||||
SegmentID int `json:"id"`
|
||||
SegmentID int `json:"-"`
|
||||
OriginalText string `json:"original_text"`
|
||||
CorrectedText string `json:"corrected_text"`
|
||||
OriginalSegmentText string `json:"original_segment_text"`
|
||||
CorrectedSegmentText string `json:"corrected_segment_text"`
|
||||
Categories []string `json:"categories,omitempty"`
|
||||
NeighboringSegments []schema.Segment `json:"neighboring_segments,omitempty"`
|
||||
NeighboringSegments []NeighboringSegment `json:"neighboring_segments,omitempty"`
|
||||
GlossaryEntries []schema.GlossaryEntry `json:"glossary_entries,omitempty"`
|
||||
}
|
||||
|
||||
@@ -41,6 +42,7 @@ type LLMValidationRequest struct {
|
||||
Items []LLMValidationItem `json:"corrections"`
|
||||
}
|
||||
|
||||
// LLMValidationDecision contains a request-local correction_index, not a proposal index.
|
||||
type LLMValidationDecision struct {
|
||||
CorrectionIndex int `json:"correction_index"`
|
||||
Approved bool `json:"approved"`
|
||||
@@ -51,3 +53,11 @@ type LLMValidationDecision struct {
|
||||
type LLMValidationResponse struct {
|
||||
Validations []LLMValidationDecision `json:"validations"`
|
||||
}
|
||||
|
||||
// NeighboringSegment carries semantic context without internal transcript identity.
|
||||
type NeighboringSegment struct {
|
||||
Position string `json:"position"`
|
||||
Speaker string `json:"speaker"`
|
||||
Text string `json:"text"`
|
||||
Categories []string `json:"categories,omitempty"`
|
||||
}
|
||||
|
||||
@@ -2,6 +2,7 @@ package validators
|
||||
|
||||
import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"strings"
|
||||
"testing"
|
||||
@@ -47,9 +48,9 @@ func TestValidationKeepsSuccessfulBatchesAroundUnavailableBatch(t *testing.T) {
|
||||
}
|
||||
failed := &structuredoutput.Failure{Class: structuredoutput.FailureRecoverable, Reason: outcomes.ReasonTransportFailed, Message: "model transport failed"}
|
||||
client := &scriptedValidationClient{replies: []validationReply{
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 0, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
{completion: StructuredCompletionResponse{Execution: outcomes.ExecutionCounts{Available: true, ProviderAttempts: 1}}, err: failed},
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 2, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
}}
|
||||
validator, _ := NewLLMBackedValidator("editorial_review", LLMValidatorTypeEditorialReview)
|
||||
validator.SetTokenEstimator(perItemEstimator{})
|
||||
@@ -72,8 +73,8 @@ func TestValidationKeepsSuccessfulBatchesAroundUnavailableBatch(t *testing.T) {
|
||||
|
||||
survivors := []proposals.EnrichedCorrectionProposal{candidates[0], candidates[2]}
|
||||
nextClient := &scriptedValidationClient{replies: []validationReply{
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 0, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 2, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
}}
|
||||
nextValidator, _ := NewLLMBackedValidator("meaning_reversal_review", LLMValidatorTypeMeaningReversal)
|
||||
nextValidator.SetTokenEstimator(perItemEstimator{})
|
||||
@@ -84,6 +85,18 @@ func TestValidationKeepsSuccessfulBatchesAroundUnavailableBatch(t *testing.T) {
|
||||
if err != nil || len(next.Decisions) != 2 || len(nextClient.calls) != 2 || *nextClient.calls[0].Context.BatchIndex != 0 || *nextClient.calls[1].Context.BatchIndex != 1 {
|
||||
t.Fatalf("later validator rebatching: %+v, calls=%+v, err=%v", next, nextClient.calls, err)
|
||||
}
|
||||
for _, call := range append(client.calls, nextClient.calls...) {
|
||||
var items []LLMValidationItem
|
||||
if err := json.Unmarshal([]byte(call.Variables["PayloadJSON"]), &items); err != nil {
|
||||
t.Fatal(err)
|
||||
}
|
||||
if len(items) != 1 || items[0].CorrectionIndex != 1 {
|
||||
t.Fatalf("batch references must restart: %+v", items)
|
||||
}
|
||||
}
|
||||
if !next.Decisions[0].Approved || !next.Decisions[1].Approved || next.Decisions[0].ProposalIndex != 0 || next.Decisions[1].ProposalIndex != 2 {
|
||||
t.Fatalf("rebatching lost identities: %+v", next.Decisions)
|
||||
}
|
||||
}
|
||||
|
||||
func TestValidationDomainInvalidAfterRepairIsAnError(t *testing.T) {
|
||||
@@ -103,7 +116,7 @@ func TestValidationDomainInvalidAfterRepairIsAnError(t *testing.T) {
|
||||
func TestValidationExtraDecisionsMergeActualRecoveries(t *testing.T) {
|
||||
client := &scriptedValidationClient{replies: []validationReply{{
|
||||
response: LLMValidationResponse{Validations: []LLMValidationDecision{
|
||||
{CorrectionIndex: 0, Approved: true, Confidence: .9, Reason: "ok"},
|
||||
{CorrectionIndex: 1, Approved: true, Confidence: .9, Reason: "ok"},
|
||||
{CorrectionIndex: 99, Approved: true, Confidence: .9, Reason: "extra"},
|
||||
}},
|
||||
completion: StructuredCompletionResponse{Execution: outcomes.ExecutionCounts{Available: true, ProviderAttempts: 3, TransientRetries: 1, StructuralRepairs: 1}},
|
||||
@@ -124,9 +137,9 @@ func TestValidationExtraDecisionsMergeActualRecoveries(t *testing.T) {
|
||||
func TestValidationFatalFailureKeepsEarlierFactsAndStops(t *testing.T) {
|
||||
cause := errors.New("broken embedded schema")
|
||||
client := &scriptedValidationClient{replies: []validationReply{
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 0, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
{err: &structuredoutput.Failure{Class: structuredoutput.FailureFatal, Reason: outcomes.ReasonSetupFailure, Message: "model setup failed", Cause: cause}},
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 2, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
{response: LLMValidationResponse{Validations: []LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: .9, Reason: "ok"}}}},
|
||||
}}
|
||||
validator, _ := NewLLMBackedValidator("editorial_review", LLMValidatorTypeEditorialReview)
|
||||
validator.SetTokenEstimator(perItemEstimator{})
|
||||
|
||||
@@ -8,7 +8,7 @@ import (
|
||||
)
|
||||
|
||||
func BuildValidationVariables(validationPayload []LLMValidationItem, transcriptDescription string) (map[string]string, error) {
|
||||
payloadJSON, err := json.MarshalIndent(validationPayload, "", " ")
|
||||
payloadJSON, err := json.MarshalIndent(localValidationItems(validationPayload), "", " ")
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("marshal validation payload: %w", err)
|
||||
}
|
||||
@@ -17,3 +17,12 @@ func BuildValidationVariables(validationPayload []LLMValidationItem, transcriptD
|
||||
"PayloadJSON": string(payloadJSON),
|
||||
}, nil
|
||||
}
|
||||
|
||||
// localValidationItems gives each actual batch its own short references.
|
||||
func localValidationItems(items []LLMValidationItem) []LLMValidationItem {
|
||||
local := append([]LLMValidationItem(nil), items...)
|
||||
for i := range local {
|
||||
local[i].CorrectionIndex = i + 1
|
||||
}
|
||||
return local
|
||||
}
|
||||
|
||||
@@ -160,11 +160,12 @@ func (v *LLMBackedValidator) Validate(ctx context.Context, req Request) (Result,
|
||||
artifacts, diagnosticErr := req.DiagnosticsWriter.WriteInteraction(
|
||||
stage,
|
||||
map[string]any{
|
||||
"validator_name": v.name,
|
||||
"validator_type": v.validatorType,
|
||||
"batch_index": batch.BatchIndex,
|
||||
"prompt": completion.Prompt,
|
||||
"response_schema": responseSchema.DiagnosticsMap(),
|
||||
"validator_name": v.name,
|
||||
"validator_type": v.validatorType,
|
||||
"batch_index": batch.BatchIndex,
|
||||
"proposal_indices": batchProposalIndices(batch.Items),
|
||||
"prompt": completion.Prompt,
|
||||
"response_schema": responseSchema.DiagnosticsMap(),
|
||||
},
|
||||
completion.Prepared,
|
||||
responsePayload,
|
||||
@@ -303,22 +304,18 @@ type validationReconciliation struct {
|
||||
}
|
||||
|
||||
func reconcileLLMResponse(items []LLMValidationItem, response LLMValidationResponse) validationReconciliation {
|
||||
expected := make(map[int]struct{}, len(items))
|
||||
for _, item := range items {
|
||||
expected[item.CorrectionIndex] = struct{}{}
|
||||
}
|
||||
result := validationReconciliation{Decisions: make([]Decision, 0, len(items))}
|
||||
seen := make(map[int][]LLMValidationDecision, len(items))
|
||||
for _, d := range response.Validations {
|
||||
if _, ok := expected[d.CorrectionIndex]; !ok {
|
||||
if d.CorrectionIndex < 1 || d.CorrectionIndex > len(items) {
|
||||
result.IgnoredIndices = append(result.IgnoredIndices, d.CorrectionIndex)
|
||||
continue
|
||||
}
|
||||
seen[d.CorrectionIndex] = append(seen[d.CorrectionIndex], d)
|
||||
}
|
||||
|
||||
for _, item := range items {
|
||||
entries := seen[item.CorrectionIndex]
|
||||
for i, item := range items {
|
||||
entries := seen[i+1]
|
||||
if len(entries) == 0 {
|
||||
result.Decisions = append(result.Decisions, unavailable(item.CorrectionIndex, ReasonMissingValidationDecision, "required model validation decision was missing"))
|
||||
result.UnavailableIndices = append(result.UnavailableIndices, item.CorrectionIndex)
|
||||
|
||||
@@ -152,8 +152,8 @@ func TestChunkLLMValidationItemsMultipleBatchesStableNoDropNoDup(t *testing.T) {
|
||||
|
||||
func TestLLMBackedValidatorApprovalAndRejection(t *testing.T) {
|
||||
client := &fakeStructuredLLMClient{responses: []LLMValidationResponse{{Validations: []LLMValidationDecision{
|
||||
{CorrectionIndex: 0, Approved: true, Confidence: 0.9, Reason: "ok"},
|
||||
{CorrectionIndex: 1, Approved: false, Confidence: 0.95, Reason: "bad"},
|
||||
{CorrectionIndex: 1, Approved: true, Confidence: 0.9, Reason: "ok"},
|
||||
{CorrectionIndex: 2, Approved: false, Confidence: 0.95, Reason: "bad"},
|
||||
}}}}
|
||||
v, err := NewLLMBackedValidator("spoken_form_plausibility_review", LLMValidatorTypeSpokenFormPlausibility)
|
||||
if err != nil {
|
||||
@@ -224,13 +224,14 @@ func TestLLMBackedValidatorReconcilesDecisionIdentities(t *testing.T) {
|
||||
unavailable []int
|
||||
ignored []int
|
||||
}{
|
||||
{"missing and extra", []LLMValidationDecision{approve(7), reject(18), approve(99)}, []expectedDecision{{7, true, ReasonApproved}, {11, false, ReasonMissingValidationDecision}, {18, false, "llm_rejected"}}, []int{11}, []int{99}},
|
||||
{"conflicting duplicate", []LLMValidationDecision{approve(7), approve(11), reject(11), reject(18)}, []expectedDecision{{7, true, ReasonApproved}, {11, false, ReasonDuplicateValidationDecision}, {18, false, "llm_rejected"}}, []int{11}, nil},
|
||||
{"identical duplicate", []LLMValidationDecision{approve(7), approve(11), approve(11), reject(18)}, []expectedDecision{{7, true, ReasonApproved}, {11, false, ReasonDuplicateValidationDecision}, {18, false, "llm_rejected"}}, []int{11}, nil},
|
||||
{"extra only", []LLMValidationDecision{approve(99), reject(18), approve(7), approve(99), approve(11)}, []expectedDecision{{7, true, ReasonApproved}, {11, true, ReasonApproved}, {18, false, "llm_rejected"}}, nil, []int{99, 99}},
|
||||
{"internal index is not a local reference", []LLMValidationDecision{approve(7), approve(2), reject(3)}, []expectedDecision{{7, false, ReasonMissingValidationDecision}, {11, true, ReasonApproved}, {18, false, "llm_rejected"}}, []int{7}, []int{7}},
|
||||
{"missing and extra", []LLMValidationDecision{approve(1), reject(3), approve(99)}, []expectedDecision{{7, true, ReasonApproved}, {11, false, ReasonMissingValidationDecision}, {18, false, "llm_rejected"}}, []int{11}, []int{99}},
|
||||
{"conflicting duplicate", []LLMValidationDecision{approve(1), approve(2), reject(2), reject(3)}, []expectedDecision{{7, true, ReasonApproved}, {11, false, ReasonDuplicateValidationDecision}, {18, false, "llm_rejected"}}, []int{11}, nil},
|
||||
{"identical duplicate", []LLMValidationDecision{approve(1), approve(2), approve(2), reject(3)}, []expectedDecision{{7, true, ReasonApproved}, {11, false, ReasonDuplicateValidationDecision}, {18, false, "llm_rejected"}}, []int{11}, nil},
|
||||
{"extra only", []LLMValidationDecision{approve(99), reject(3), approve(1), approve(99), approve(2)}, []expectedDecision{{7, true, ReasonApproved}, {11, true, ReasonApproved}, {18, false, "llm_rejected"}}, nil, []int{99, 99}},
|
||||
{"empty", nil, []expectedDecision{{7, false, ReasonMissingValidationDecision}, {11, false, ReasonMissingValidationDecision}, {18, false, ReasonMissingValidationDecision}}, []int{7, 11, 18}, nil},
|
||||
{"reordered", []LLMValidationDecision{reject(18), approve(11), approve(7)}, []expectedDecision{{7, true, ReasonApproved}, {11, true, ReasonApproved}, {18, false, "llm_rejected"}}, nil, nil},
|
||||
{"invalid confidence", []LLMValidationDecision{approve(7), {CorrectionIndex: 11, Approved: true, Confidence: 1.2}, reject(18)}, []expectedDecision{{7, true, ReasonApproved}, {11, false, ReasonInvalidValidationDecision}, {18, false, "llm_rejected"}}, []int{11}, nil},
|
||||
{"reordered", []LLMValidationDecision{reject(3), approve(2), approve(1)}, []expectedDecision{{7, true, ReasonApproved}, {11, true, ReasonApproved}, {18, false, "llm_rejected"}}, nil, nil},
|
||||
{"invalid confidence", []LLMValidationDecision{approve(1), {CorrectionIndex: 2, Approved: true, Confidence: 1.2}, reject(3)}, []expectedDecision{{7, true, ReasonApproved}, {11, false, ReasonInvalidValidationDecision}, {18, false, "llm_rejected"}}, []int{11}, nil},
|
||||
} {
|
||||
t.Run(tc.name, func(t *testing.T) {
|
||||
client := &fakeStructuredLLMClient{responses: []LLMValidationResponse{{Validations: tc.entries}}}
|
||||
@@ -337,7 +338,7 @@ func TestLLMBackedValidatorOversizedSingleProposalRejectsOnlyThatProposal(t *tes
|
||||
|
||||
func TestLLMBackedValidatorDiagnosticsIncludeSchemaMetadata(t *testing.T) {
|
||||
client := &fakeStructuredLLMClient{responses: []LLMValidationResponse{{Validations: []LLMValidationDecision{
|
||||
{CorrectionIndex: 0, Approved: true, Confidence: 0.9, Reason: "ok"},
|
||||
{CorrectionIndex: 1, Approved: true, Confidence: 0.9, Reason: "ok"},
|
||||
}}}}
|
||||
writer := &captureValidationDiagnosticsWriter{}
|
||||
v, err := NewLLMBackedValidator("spoken_form_plausibility_review", LLMValidatorTypeSpokenFormPlausibility)
|
||||
@@ -376,7 +377,7 @@ func TestEveryValidationTypeSelectsEmbeddedPromptAndVariables(t *testing.T) {
|
||||
}
|
||||
for _, tc := range cases {
|
||||
t.Run(string(tc.kind), func(t *testing.T) {
|
||||
client := &fakeStructuredLLMClient{responses: []LLMValidationResponse{{Validations: []LLMValidationDecision{{CorrectionIndex: 0, Approved: true, Confidence: .9, Reason: "ok"}}}}}
|
||||
client := &fakeStructuredLLMClient{responses: []LLMValidationResponse{{Validations: []LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: .9, Reason: "ok"}}}}}
|
||||
validator, err := NewLLMBackedValidator(string(tc.kind), tc.kind)
|
||||
if err != nil {
|
||||
t.Fatal(err)
|
||||
@@ -401,7 +402,7 @@ func TestEveryValidationTypeSelectsEmbeddedPromptAndVariables(t *testing.T) {
|
||||
func TestValidationDiagnosticFailureDoesNotChangeDecision(t *testing.T) {
|
||||
cause := errors.New("diagnostic storage unavailable")
|
||||
req := makeReq([]proposals.EnrichedCorrectionProposal{mk(0, "gestures", "Jesters")})
|
||||
req.LLMClient = &fakeStructuredLLMClient{responses: []LLMValidationResponse{{Validations: []LLMValidationDecision{{CorrectionIndex: 0, Approved: true, Confidence: 1, Reason: "ok"}}}}}
|
||||
req.LLMClient = &fakeStructuredLLMClient{responses: []LLMValidationResponse{{Validations: []LLMValidationDecision{{CorrectionIndex: 1, Approved: true, Confidence: 1, Reason: "ok"}}}}}
|
||||
req.DiagnosticsWriter = &captureValidationDiagnosticsWriter{err: cause}
|
||||
var reported error
|
||||
req.ReportDiagnosticError = func(err error) { reported = err }
|
||||
|
||||
Reference in New Issue
Block a user