Pipeline run
4e30d8ca-8153-4aab-846e-b5babb95fd9d
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Associate Relationship Manager-LAP
CASE NEWslug: — · id: — · source: llm
Resolution:
human_review_required
— role not in DB; role↔dimension links may be deferred.
Job description
Job Title: Associate Relationship Manager-LAP Job Requirements Job Requirements Job Title – Associate Relationship Manager-LAP Place of work- Rajasthan/Gujarat/Karnataka/Madhya Pradesh/Chhattisgarh/Odisha/Andhra Pradesh Business Unit - Rural Banking Function- Retail Assets Job Purpose The role entails deepening relationships with Rural Banking accounts and ensuring best in-class service to the customers. The role bearer has a responsibility to identify mortgage needs of customers and provide appropriate lending solutions ( Loan Against Property) . The role bearer is responsible for driving client acquisition, building household level customer relationships and capitalizing on lifetime value in each relationship to achieve larger organizational goals. Roles & Responsibilities • Assess and evaluate the client needs and generate new sources of revenue by leveraging cross sell opportunities as per their lifestyle, risk profiling and requirements. • Contribute to penetration of mortgage business in Rural markets through lead generations and account opening as per needs of customer • Spearhead mapping of detailed household needs based on direct customer interactions • Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets • Achieve individual and branch sales goals through new business sales, referrals and retention of account relationship and maintain high collections efficiency • Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams • Coordinate with operations officer to ensure timely and accurate data entry • Ensure compliance as per the bank requirements Secondary Responsibilities • Recommend process changes in order to improve service efficiency and quality across the branch network • Provide support for implementation of livelihood advancement and community development initiatives. Key Success Metrics Customer Acquisition targets, Cross sell targets Educational Qualifications Graduate-Any graduate Experience 0-2 Years in NBFCs/Banking.
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Financial Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Financial Practices
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Administrative Skills
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- FAST
- Typical lifespan
- SHORT_LIVED
- Version strategy
- VERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Business Practices
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Financial Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Legal Practices
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Mortgage | type=Financial Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN | |
| canonical_skill_proposed | Loan Booking | type=Financial Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data Entry | type=Administrative Skills subtype=general nature=PRACTICE lifespan=SHORT_LIVED | |
| canonical_skill_proposed | Operations | type=Business Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Credit | type=Financial Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN | |
| canonical_skill_proposed | Compliance | type=Legal Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": null,
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"profiling",
"Metrics",
"Role"
],
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [
"Rural Banking"
],
"domain": "Banking"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE/BSC/BA/BCOM - Any Discipline",
"raw": "Graduate-Any graduate",
"requirement": "required"
}
],
"experience": {
"max": 2,
"min": 0,
"raw": "0-2 Years in NBFCs/Banking"
},
"job_locations": [
{
"aliases": [],
"city": null,
"country": "India",
"state": "Rajasthan",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Gujarat",
"work_mode": null
},
{
"aliases": [
"Karnataka"
],
"city": null,
"country": "India",
"state": "Karnataka",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Madhya Pradesh",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Chhattisgarh",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Odisha",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Andhra Pradesh",
"work_mode": null
}
],
"role": "Associate Relationship Manager-LAP",
"role_aliases": [
"Relationship Manager",
"ARM",
"Associate RM"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 8,
"heading": "Roles \u0026 Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Assess and evaluate the",
"last_5_words": "as per the bank requirements"
},
"text": "\u2022 Assess and evaluate the client needs and generate new sources of revenue by leveraging cross sell opportunities as per their lifestyle, risk profiling and requirements.\n\u2022 Contribute to penetration of mortgage business in Rural markets through lead generations and account opening as per needs of customer \n\u2022 Spearhead mapping of detailed household needs based on direct customer interactions \n\u2022 Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets \n\u2022 Achieve individual and branch sales goals through new business sales, referrals and retention of account relationship and maintain high collections efficiency\n\u2022 Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams\n\u2022 Coordinate with operations officer to ensure timely and accurate data entry\n\u2022 Ensure compliance as per the bank requirements",
"word_count": 134
},
{
"bullet_count": 2,
"heading": "Secondary Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Recommend process changes in",
"last_5_words": "advancement and community development initiatives."
},
"text": "\u2022 Recommend process changes in order to improve service efficiency and quality across the branch network\n\u2022 Provide support for implementation of livelihood advancement and community development initiatives.",
"word_count": 30
},
{
"bullet_count": 0,
"heading": "Key Success Metrics",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Customer Acquisition targets, Cross",
"last_5_words": "Cross sell targets"
},
"text": "Customer Acquisition targets, Cross sell targets",
"word_count": 5
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Mortgage"
},
{
"is_primary": true,
"skill_name": "Loan Booking"
},
{
"is_primary": true,
"skill_name": "Data Entry"
},
{
"is_primary": false,
"skill_name": "Operations"
},
{
"is_primary": false,
"skill_name": "Credit"
},
{
"is_primary": false,
"skill_name": "Compliance"
}
],
"jd_role": {
"display_name": "Associate Relationship Manager-LAP",
"rationale": null,
"role_aliases": [
"Relationship Manager",
"ARM",
"Associate RM"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": null,
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"profiling",
"Metrics",
"Role"
],
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [
"Rural Banking"
],
"domain": "Banking"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE/BSC/BA/BCOM - Any Discipline",
"raw": "Graduate-Any graduate",
"requirement": "required"
}
],
"experience": {
"max": 2,
"min": 0,
"raw": "0-2 Years in NBFCs/Banking"
},
"job_locations": [
{
"aliases": [],
"city": null,
"country": "India",
"state": "Rajasthan",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Gujarat",
"work_mode": null
},
{
"aliases": [
"Karnataka"
],
"city": null,
"country": "India",
"state": "Karnataka",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Madhya Pradesh",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Chhattisgarh",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Odisha",
"work_mode": null
},
{
"aliases": [],
"city": null,
"country": "India",
"state": "Andhra Pradesh",
"work_mode": null
}
],
"role": "Associate Relationship Manager-LAP",
"role_aliases": [
"Relationship Manager",
"ARM",
"Associate RM"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 8,
"heading": "Roles \u0026 Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Assess and evaluate the",
"last_5_words": "as per the bank requirements"
},
"text": "\u2022 Assess and evaluate the client needs and generate new sources of revenue by leveraging cross sell opportunities as per their lifestyle, risk profiling and requirements.\n\u2022 Contribute to penetration of mortgage business in Rural markets through lead generations and account opening as per needs of customer \n\u2022 Spearhead mapping of detailed household needs based on direct customer interactions \n\u2022 Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets \n\u2022 Achieve individual and branch sales goals through new business sales, referrals and retention of account relationship and maintain high collections efficiency\n\u2022 Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams\n\u2022 Coordinate with operations officer to ensure timely and accurate data entry\n\u2022 Ensure compliance as per the bank requirements",
"word_count": 134
},
{
"bullet_count": 2,
"heading": "Secondary Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Recommend process changes in",
"last_5_words": "advancement and community development initiatives."
},
"text": "\u2022 Recommend process changes in order to improve service efficiency and quality across the branch network\n\u2022 Provide support for implementation of livelihood advancement and community development initiatives.",
"word_count": 30
},
{
"bullet_count": 0,
"heading": "Key Success Metrics",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Customer Acquisition targets, Cross",
"last_5_words": "Cross sell targets"
},
"text": "Customer Acquisition targets, Cross sell targets",
"word_count": 5
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "4e30d8ca-8153-4aab-846e-b5babb95fd9d",
"stage3_signals": {
"alias_found": false,
"alias_match_roles": [],
"kra_match_roles": [
{
"display_name": "ML Ops Engineer",
"kra_matches": [
{
"kra_text": "Validates model performance benchmarks, data schema contracts, and system integration health before signing off on production release readiness.",
"sentence": "Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets",
"similarity": 0.4314
},
{
"kra_text": "Validates model performance benchmarks, data schema contracts, and system integration health before signing off on production release readiness.",
"sentence": "Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams",
"similarity": 0.4125
},
{
"kra_text": "Validates model performance benchmarks, data schema contracts, and system integration health before signing off on production release readiness.",
"sentence": "Ensure compliance as per the bank requirements",
"similarity": 0.386
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 16,
"score": 0.41,
"slug": "ml-ops-engineer",
"total_count": null
},
{
"display_name": "Cybersecurity Engineer",
"kra_matches": [
{
"kra_text": "Defines secure engineering standards, secure coding guidelines, threat intelligence feeds, and compliance requirements for the organization.",
"sentence": "Ensure compliance as per the bank requirements",
"similarity": 0.4409
},
{
"kra_text": "Performs threat modeling, security architecture reviews, and quantitative risk analysis for new product features and infrastructure changes.",
"sentence": "Assess and evaluate the client needs and generate new sources of revenue by leveraging cross sell opportunities as per their lifestyle, risk profiling and requirements.",
"similarity": 0.3878
},
{
"kra_text": "Hardens system and service configurations, applies security baselines, removes unnecessary services, and reduces attack surface across infrastructure.",
"sentence": "Recommend process changes in order to improve service efficiency and quality across the branch network",
"similarity": 0.3731
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 5,
"score": 0.4006,
"slug": "cybersecurity-engineer",
"total_count": null
},
{
"display_name": "Data Engineer",
"kra_matches": [
{
"kra_text": "Maintains data catalog entries, column-level data lineage, and technical documentation to support data discoverability and governance across the organization.",
"sentence": "Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams",
"similarity": 0.3981
},
{
"kra_text": "Implements data quality validation rules, reconciliation checks, and anomaly detection to ensure data completeness, accuracy, and consistency.",
"sentence": "Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets",
"similarity": 0.3907
},
{
"kra_text": "Implements data quality validation rules, reconciliation checks, and anomaly detection to ensure data completeness, accuracy, and consistency.",
"sentence": "Ensure compliance as per the bank requirements",
"similarity": 0.384
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.3909,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "AI Compliance Officer",
"kra_matches": [
{
"kra_text": "Maintains audit trail documentation, evidence records, and compliance certification artifacts for AI system approvals and regulatory review.",
"sentence": "Ensure compliance as per the bank requirements",
"similarity": 0.4038
},
{
"kra_text": "Maintains audit trail documentation, evidence records, and compliance certification artifacts for AI system approvals and regulatory review.",
"sentence": "Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams",
"similarity": 0.3962
},
{
"kra_text": "Coordinates AI incident response procedures, regulatory breach notification, audit investigation support, and remediation tracking for compliance issues.",
"sentence": "Coordinate with operations officer to ensure timely and accurate data entry",
"similarity": 0.3502
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 12,
"score": 0.3834,
"slug": "ai-compliance-officer",
"total_count": null
},
{
"display_name": "Pega Developer",
"kra_matches": [
{
"kra_text": "Requirements analysis and process translation",
"sentence": "Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams",
"similarity": 0.3884
},
{
"kra_text": "business rule configuration and maintenance",
"sentence": "Ensure compliance as per the bank requirements",
"similarity": 0.3823
},
{
"kra_text": "Requirements analysis and process translation",
"sentence": "Spearhead mapping of detailed household needs based on direct customer interactions",
"similarity": 0.3791
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 24,
"score": 0.3833,
"slug": "pega-developer",
"total_count": null
}
],
"skill_match_roles": []
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "NEW",
"chosen_role": {
"display_name": "Associate Relationship Manager-LAP",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": null,
"score": 0.0,
"slug": "associate-relationship-manager-lap",
"total_count": null
},
"confidence": 0.0,
"is_new_role": true,
"llm2_fired": false,
"llm2_reasoning": null,
"new_role_display_name": "Associate Relationship Manager-LAP",
"new_role_slug": "associate-relationship-manager-lap",
"queued": false,
"reasoning": "No catalog signal for \u0027Associate Relationship Manager-LAP\u0027: KRA top=0.41 (\u003c0.45), skill top=0.00 (\u003c0.20). Finalizing as new role; v3 enriches in background."
},
"stage5_updates": null
}
API 2 — extract-details
{
"alias_matches": [],
"candidate_roles": [],
"chosen_role": {
"display_name": "Associate Relationship Manager-LAP",
"id": null,
"rationale": null,
"role_archetype": "Engineering",
"slug": "",
"source": "llm"
},
"dimensions": [],
"input_final_skills": [
"Mortgage",
"Loan Booking",
"Data Entry",
"Operations",
"Credit",
"Compliance"
],
"input_llm_skills": [
"Mortgage",
"Loan Booking",
"Data Entry",
"Operations",
"Credit",
"Compliance"
],
"new_aliases_persisted": 0,
"run_id": "4e30d8ca-8153-4aab-846e-b5babb95fd9d",
"skills_detail": [
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Mortgage",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Financial Concepts",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "EVERGREEN",
"version_strategy": "UNVERSIONED",
"volatility": "STABLE"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "mortgage",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Loan Booking",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Financial Practices",
"skill_nature": "PRACTICE",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "loan-booking",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Data Entry",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Administrative Skills",
"skill_nature": "PRACTICE",
"sub_category": "general",
"typical_lifespan": "SHORT_LIVED",
"version_strategy": "VERSIONED",
"volatility": "FAST"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "data-entry",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Operations",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Business Practices",
"skill_nature": "PRACTICE",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "operations",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Credit",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Financial Concepts",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "EVERGREEN",
"version_strategy": "UNVERSIONED",
"volatility": "STABLE"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "credit",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Compliance",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Legal Practices",
"skill_nature": "PRACTICE",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "compliance",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Mortgage",
"Loan Booking",
"Data Entry",
"Operations",
"Credit",
"Compliance"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Associate Relationship Manager-LAP",
"id": null,
"rationale": null,
"role_archetype": "Engineering",
"slug": "",
"source": "llm"
},
"chosen_role_resolution": "human_review_required",
"final_input_skills": [
{
"skill": "Mortgage",
"tag": "new"
},
{
"skill": "Loan Booking",
"tag": "new"
},
{
"skill": "Data Entry",
"tag": "new"
},
{
"skill": "Operations",
"tag": "new"
},
{
"skill": "Credit",
"tag": "new"
},
{
"skill": "Compliance",
"tag": "new"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [],
"new_skills_created": 0,
"role_dimension_saved": 0,
"skill_dimension_saved": 0,
"skipped": 0
},
"planner_output": null,
"run_id": "4e30d8ca-8153-4aab-846e-b5babb95fd9d"
}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.