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https://github.com/lukaszraczylo/llm-testbench.git
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lukaszraczylo
1d51d4cbbd
Framework runs a category/subcategory test catalog against multiple LLMs through an OpenAI-compatible endpoint. Deterministic evaluators score each response. Reports render as table, markdown, or JSON.
30 lines
692 B
Go
30 lines
692 B
Go
package eval
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import (
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"context"
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"testing"
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)
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func TestEquals(t *testing.T) {
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tests := []struct {
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name string
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want string
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response string
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wantVal float64
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}{
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{"exact match", "patch", "patch", 1},
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{"case insensitive", "PATCH", "patch", 1},
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{"trimmed whitespace", "patch", " patch\n", 1},
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{"mismatch", "patch", "minor", 0},
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{"substring is not equal", "patch", "patch bump", 0},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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got := Equals(tt.want).Evaluate(context.Background(), tt.response)
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if got.Value != tt.wantVal {
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t.Errorf("Equals(%q).Evaluate(%q) = %v, want %v", tt.want, tt.response, got.Value, tt.wantVal)
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}
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})
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}
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}
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