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- Add Samples to TextOptions/GridOptions; N>1 runs N solves at temp 0.5 and majority-votes (text: most frequent; grid: tiles in strict majority). N<=1 keeps the single deterministic call path unchanged. - Add NoTargets to GridResult so callers know to click Verify instead of looping; prompt instructs empty tiles + no_targets:true when nothing matches. - Grid prompt: numbered cells 0..R*C-1, select any partial overlap. - Text prompt: disambiguate similar glyphs (0/O 1/l/I 5/S 2/Z 8/B). - Rotation prompt: reason step-by-step then emit final JSON.
37 lines
1.3 KiB
Go
37 lines
1.3 KiB
Go
package captcha
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import (
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"context"
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"encoding/json"
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"fmt"
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"github.com/lukaszraczylo/captcha-solver-mcp/internal/llm"
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)
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// RotationResult is a best-effort FunCaptcha/rotation answer.
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type RotationResult struct {
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Choice int `json:"choice"`
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Rotations int `json:"rotations"`
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Confidence float64 `json:"confidence"`
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}
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// SolveRotation handles FunCaptcha-style rotation/choice puzzles (best-effort).
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func SolveRotation(ctx context.Context, c llm.Client, img []byte, mediaType, instruction string) (RotationResult, error) {
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prompt := fmt.Sprintf(
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"You are solving a rotation/choice puzzle captcha. Instruction: %q. "+
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"If asked to pick one image, return its 0-based index as choice. "+
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"If asked to rotate, return the number of clockwise steps as rotations. "+
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"First reason step-by-step about the correct orientation/choice, then give the final answer "+
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`as the last thing you output: compact JSON {"choice":<int>,"rotations":<int>,"confidence":<0..1>}.`,
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instruction)
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raw, err := c.Vision(ctx, prompt, []llm.Image{{MediaType: mediaType, Data: img}}, llm.Options{})
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if err != nil {
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return RotationResult{}, err
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}
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var res RotationResult
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if err := json.Unmarshal([]byte(extractJSON(raw)), &res); err != nil {
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return RotationResult{}, fmt.Errorf("model did not return parseable rotation answer")
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}
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return res, nil
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}
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