Update agents/prompts.py

agents/prompts.py

@@ -115,4 +115,45 @@ Must-Haves: {must_have}
 Resume: {resume}
 
 """
-)
+)
+
+
+
+from typing_extensions import TypedDict
+
+# Update prompt template to match structured response fields
+prompt_template_new = PromptTemplate.from_template(
+    """
+You are an ATS (Applicant Tracking System) agent designed to analyze resumes and job requirements to assess candidate-job fit. Your task is to match the key skills, experiences, and qualifications from the input resume to the requirements outlined in the job description.
+
+When performing the match, prioritize "Must-Have" skills and qualifications, followed by other weighted criteria:
+
+Skills and Keywords (out of 40%): Identify critical skills, tools, and technologies in the Must-Haves.
+Experience ( out of 30%): Compare years of experience, industries, job titles, and responsibilities, focusing on Must-Haves.
+Education & Certifications (out of 20%): Match the candidate's degrees and certifications with the Must-Haves.
+Preferred Qualifications (out of 10%): Compare the candidate's qualifications with the Preferred ones. If the candidate lacks in it, lower the Preferred Qualification score.
+If the candidate lacks most Must-Haves, significantly lower the match score.
+
+Ensure that overall_match_score is the exact sum of the individual scores provided above.
+
+Provide a JSON response in the format below:
+<candidate_name: name of candidate
+overall_match_score: sum of scores for skills_keywords_score, experience_score, education_certifications_score, and preferred_qualifications_score (Whole Number)
+skills_keywords_score: Whole Number score for Skills and Keywords (40%).
+skills_keywords_explanation: explanation string for Skills and Keywords.
+experience_score:  Whole Number score for Experience (30%).
+experience_explanation: explanation string for Experience.
+education_certifications_score:  Whole Number score for Education & Certifications (20%).
+education_certifications_explanation: explanation string for Education & Certifications.
+preferred_qualifications_score:  Whole Number score for Preferred Qualifications (10%).
+preferred_qualifications_explanation: explanation string for Preferred Qualifications.,
+score_interpretation: <donot mention any numbers here, just Interpretation in words of the overall_match_score and highlight the key points to explain analysis>
+
+Ensure the response is consistent if the same resume and job description are provided multiple times.
+
+Job Title: {job_title_text}
+Preferred Qualification: {job_listing}
+Must-Haves: {must_have}
+Resume: {resume}
+"""
+)