Pipeline run
a859e1cb-3b53-4499-ac76-ec2d2c6dcbf6
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Data Engineer
domain · Data Engineering & Analytics CASE DOMAINslug: data-engineer · id: 2 · source: db
Domain=Data Engineering & Analytics; The JD centers on leading end-to-end data engineering delivery, solution architecture, team management, and client-facing consulting work, which best matches Data Engineer among the candidates.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Work Type: Full-time | Hybrid | Working Hours: IST with some US overlap Location: Hyderabad, India Compensation (Yearly): ₹3,000,000 – ₹3,700,000 Note: If shortlisted, we will reach out to you via WhatsApp and email. Please respond promptly. About The Client • Our client is a fast-growing consulting partner driving enterprise-level data modernization and transformation projects. With a strong focus on delivering measurable business impact, they specialize in cloud data engineering, architecture consulting, and digital modernization for global clients. About The Role • We are seeking a Manager – Data Engineering with a consulting mindset, strong leadership qualities, and expertise in solutioning, presales, and project execution. This role will involve direct client engagement, team management, and end-to-end delivery of enterprise data engineering projects. You will oversee technical strategy, ensure timely project delivery, and support business development initiatives. Must-Have Qualifications • B.E./B.Tech. in Computer Science, IT, or related field • 8–12 years in Data Engineering, including 3+ years in team or project leadership roles • Proven track record in delivering client-facing data solutions in consulting or IT services • Experience in presales, solution architecture, and budgeting • Deep understanding of enterprise data ecosystems and business processes • Exceptional communication, stakeholder management, and problem-solving skills Preferred Industry Exposure • Consulting | IT Services | Data & Analytics Firms | Enterprise SaaS | Digital Transformation Agencies Key Responsibilities (Shortened) • Client Engagement: Serve as the main client liaison, translating business goals into technical strategies; ensure satisfaction through clear communication and quality delivery. • Project Delivery: Lead end-to-end data engineering projects, manage budgets, timelines, and align cross-functional teams. • Technical Leadership: Architect scalable data solutions; enforce best practices in quality, security, and compliance. • Team Management: Mentor and manage a team of 8–12 engineers; foster a high-performing, collaborative culture. • Consulting & Growth: Drive presales, solutioning, and RFPs; represent the firm in webinars and thought leadership.
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
- Data Engineering Tools
- 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
- Architectural Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- 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
- Soft Skills
- 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
- Soft Skills
- 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 | Data Engineering | type=Data Engineering Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Solution Architecture | type=Architectural Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Presales | type=Soft Skills subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | RFPs | type=Soft Skills 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": {
"source_marker": {
"first_5_words": "Our client is a fast-growing",
"last_5_words": "and digital modernization for global clients."
},
"text": "Our client is a fast-growing consulting partner driving enterprise-level data modernization and transformation projects. With a strong focus on delivering measurable business impact, they specialize in cloud data engineering, architecture consulting, and digital modernization for global clients.",
"word_count": 42
},
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"enterprise SaaS",
"Analytics",
"Cloud",
"Role",
"Location",
"roles",
"goals"
],
"certifications": [],
"company_name": "Our client",
"ctc": {
"currency": "INR",
"max": 3700000,
"min": 3000000,
"period": "annual",
"raw": "\u20b93,000,000 \u2013 \u20b93,700,000"
},
"domain": {
"primary": {
"aliases": [
"Consulting",
"IT Services"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE - Computer Science / IT (or related)",
"raw": "B.E./B.Tech. in Computer Science, IT, or related field",
"requirement": "required"
}
],
"experience": {
"max": 12,
"min": 8,
"raw": "8\u201312 years in Data Engineering, including 3+ years in team or project leadership roles"
},
"job_locations": [
{
"aliases": [
"Hyderabad, India"
],
"city": "Hyderabad",
"country": "India",
"state": null,
"work_mode": "hybrid"
}
],
"role": "Manager \u2013 Data Engineering",
"role_aliases": [
"Data Engineering Manager",
"Data Engineering Lead",
"Manager of Data Engineering"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 6,
"heading": "Must-Have Qualifications",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 B.E./B.Tech. in Computer Science,",
"last_5_words": "and problem-solving skills"
},
"text": "\u2022 B.E./B.Tech. in Computer Science, IT, or related field\n\u2022 8\u201312 years in Data Engineering, including 3+ years in team or project leadership roles\n\u2022 Proven track record in delivering client-facing data solutions in consulting or IT services\n\u2022 Experience in presales, solution architecture, and budgeting\n\u2022 Deep understanding of enterprise data ecosystems and business processes\n\u2022 Exceptional communication, stakeholder management, and problem-solving skills",
"word_count": 56
},
{
"bullet_count": 5,
"heading": "Key Responsibilities (Shortened)",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Client Engagement: Serve as",
"last_5_words": "in webinars and thought leadership."
},
"text": "\u2022 Client Engagement: Serve as the main client liaison, translating business goals into technical strategies; ensure satisfaction through clear communication and quality delivery.\n\u2022 Project Delivery: Lead end-to-end data engineering projects, manage budgets, timelines, and align cross-functional teams.\n\u2022 Technical Leadership: Architect scalable data solutions; enforce best practices in quality, security, and compliance.\n\u2022 Team Management: Mentor and manage a team of 8\u201312 engineers; foster a high-performing, collaborative culture.\n\u2022 Consulting \u0026 Growth: Drive presales, solutioning, and RFPs; represent the firm in webinars and thought leadership.",
"word_count": 83
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Data Engineering"
},
{
"is_primary": true,
"skill_name": "Solution Architecture"
},
{
"is_primary": true,
"skill_name": "Presales"
},
{
"is_primary": true,
"skill_name": "RFPs"
}
],
"jd_role": {
"display_name": "Manager \u2013 Data Engineering",
"rationale": null,
"role_aliases": [
"Data Engineering Manager",
"Data Engineering Lead",
"Manager of Data Engineering"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "Our client is a fast-growing",
"last_5_words": "and digital modernization for global clients."
},
"text": "Our client is a fast-growing consulting partner driving enterprise-level data modernization and transformation projects. With a strong focus on delivering measurable business impact, they specialize in cloud data engineering, architecture consulting, and digital modernization for global clients.",
"word_count": 42
},
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"enterprise SaaS",
"Analytics",
"Cloud",
"Role",
"Location",
"roles",
"goals"
],
"certifications": [],
"company_name": "Our client",
"ctc": {
"currency": "INR",
"max": 3700000,
"min": 3000000,
"period": "annual",
"raw": "\u20b93,000,000 \u2013 \u20b93,700,000"
},
"domain": {
"primary": {
"aliases": [
"Consulting",
"IT Services"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE - Computer Science / IT (or related)",
"raw": "B.E./B.Tech. in Computer Science, IT, or related field",
"requirement": "required"
}
],
"experience": {
"max": 12,
"min": 8,
"raw": "8\u201312 years in Data Engineering, including 3+ years in team or project leadership roles"
},
"job_locations": [
{
"aliases": [
"Hyderabad, India"
],
"city": "Hyderabad",
"country": "India",
"state": null,
"work_mode": "hybrid"
}
],
"role": "Manager \u2013 Data Engineering",
"role_aliases": [
"Data Engineering Manager",
"Data Engineering Lead",
"Manager of Data Engineering"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 6,
"heading": "Must-Have Qualifications",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 B.E./B.Tech. in Computer Science,",
"last_5_words": "and problem-solving skills"
},
"text": "\u2022 B.E./B.Tech. in Computer Science, IT, or related field\n\u2022 8\u201312 years in Data Engineering, including 3+ years in team or project leadership roles\n\u2022 Proven track record in delivering client-facing data solutions in consulting or IT services\n\u2022 Experience in presales, solution architecture, and budgeting\n\u2022 Deep understanding of enterprise data ecosystems and business processes\n\u2022 Exceptional communication, stakeholder management, and problem-solving skills",
"word_count": 56
},
{
"bullet_count": 5,
"heading": "Key Responsibilities (Shortened)",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Client Engagement: Serve as",
"last_5_words": "in webinars and thought leadership."
},
"text": "\u2022 Client Engagement: Serve as the main client liaison, translating business goals into technical strategies; ensure satisfaction through clear communication and quality delivery.\n\u2022 Project Delivery: Lead end-to-end data engineering projects, manage budgets, timelines, and align cross-functional teams.\n\u2022 Technical Leadership: Architect scalable data solutions; enforce best practices in quality, security, and compliance.\n\u2022 Team Management: Mentor and manage a team of 8\u201312 engineers; foster a high-performing, collaborative culture.\n\u2022 Consulting \u0026 Growth: Drive presales, solutioning, and RFPs; represent the firm in webinars and thought leadership.",
"word_count": 83
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "a859e1cb-3b53-4499-ac76-ec2d2c6dcbf6",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 1.0,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Engineering Manager",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 121,
"score": 1.0,
"slug": "engineering-manager",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": [
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Project Delivery: Lead end-to-end data engineering projects, manage budgets, timelines, and align cross-functional teams.",
"similarity": 0.5686
},
{
"kra_text": "Designs dimensional models, star schemas, data vault structures, and curated data mart tables to support BI tools and self-service analytics consumption.",
"sentence": "Technical Leadership: Architect scalable data solutions; enforce best practices in quality, security, and compliance.",
"similarity": 0.5219
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "8\u201312 years in Data Engineering, including 3+ years in team or project leadership roles",
"similarity": 0.4651
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.5185,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Cloud Architect",
"kra_matches": [
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Technical Leadership: Architect scalable data solutions; enforce best practices in quality, security, and compliance.",
"similarity": 0.556
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Project Delivery: Lead end-to-end data engineering projects, manage budgets, timelines, and align cross-functional teams.",
"similarity": 0.5095
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Client Engagement: Serve as the main client liaison, translating business goals into technical strategies; ensure satisfaction through clear communication and quality delivery.",
"similarity": 0.4556
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 9,
"score": 0.5071,
"slug": "cloud-architect",
"total_count": null
},
{
"display_name": "Flutter Developer",
"kra_matches": [
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "Project Delivery: Lead end-to-end data engineering projects, manage budgets, timelines, and align cross-functional teams.",
"similarity": 0.4629
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "Client Engagement: Serve as the main client liaison, translating business goals into technical strategies; ensure satisfaction through clear communication and quality delivery.",
"similarity": 0.4549
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "Team Management: Mentor and manage a team of 8\u201312 engineers; foster a high-performing, collaborative culture.",
"similarity": 0.4415
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 74,
"score": 0.4531,
"slug": "flutter-developer",
"total_count": null
},
{
"display_name": "Fullstack Developer",
"kra_matches": [
{
"kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
"sentence": "Client Engagement: Serve as the main client liaison, translating business goals into technical strategies; ensure satisfaction through clear communication and quality delivery.",
"similarity": 0.4446
},
{
"kra_text": "Implements complete product features end-to-end from database schema design through backend API to frontend UI using JavaScript, TypeScript, Python, or Ruby on Rails.",
"sentence": "Project Delivery: Lead end-to-end data engineering projects, manage budgets, timelines, and align cross-functional teams.",
"similarity": 0.443
},
{
"kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
"sentence": "Technical Leadership: Architect scalable data solutions; enforce best practices in quality, security, and compliance.",
"similarity": 0.4413
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 15,
"score": 0.443,
"slug": "full-stack-engineer",
"total_count": null
},
{
"display_name": "Cyber Security Engineer",
"kra_matches": [
{
"kra_text": "Defines secure engineering standards, secure coding guidelines, threat intelligence feeds, and compliance requirements for the organization.",
"sentence": "Technical Leadership: Architect scalable data solutions; enforce best practices in quality, security, and compliance.",
"similarity": 0.5241
},
{
"kra_text": "Performs threat modeling, security architecture reviews, and quantitative risk analysis for new product features and infrastructure changes.",
"sentence": "Consulting \u0026 Growth: Drive presales, solutioning, and RFPs; represent the firm in webinars and thought leadership.",
"similarity": 0.4017
},
{
"kra_text": "Designs and implements security controls including SIEM integration, endpoint detection and response, identity management, and firewall rule management.",
"sentence": "Project Delivery: Lead end-to-end data engineering projects, manage budgets, timelines, and align cross-functional teams.",
"similarity": 0.3977
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 5,
"score": 0.4412,
"slug": "cybersecurity-engineer",
"total_count": null
}
],
"skill_match_roles": []
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
"chosen_role": {
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.94,
"slug": "data-engineer",
"total_count": null
},
"confidence": 0.94,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [
"Client-facing data solution delivery",
"Technical leadership and architecture",
"Project and budget management",
"Team management and mentoring",
"Consulting and presales support"
],
"matched_kras": [
"Serve as the main client liaison",
"Lead end-to-end data engineering projects",
"Manage budgets, timelines, and cross-functional teams",
"Architect scalable data solutions",
"Enforce best practices in quality, security, and compliance",
"Mentor and manage a team of 8\u201312 engineers",
"Drive presales, solutioning, and RFPs"
],
"matched_skills": [
"Data Engineering",
"solution architecture",
"budgeting",
"enterprise data ecosystems",
"business processes",
"stakeholder management",
"presales",
"RFPs"
],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Domain=Data Engineering \u0026 Analytics; The JD centers on leading end-to-end data engineering delivery, solution architecture, team management, and client-facing consulting work, which best matches Data Engineer among the candidates.",
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 64,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": null,
"new_skills_attached": [
{
"is_primary": true,
"queue_id": 4058,
"role_display_name": "Data Engineer",
"role_slug": "data-engineer",
"skill_name": "Data Engineering",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 4059,
"role_display_name": "Data Engineer",
"role_slug": "data-engineer",
"skill_name": "Solution Architecture",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 4060,
"role_display_name": "Data Engineer",
"role_slug": "data-engineer",
"skill_name": "Presales",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 4061,
"role_display_name": "Data Engineer",
"role_slug": "data-engineer",
"skill_name": "RFPs",
"status": "pending"
}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{
"alias_matches": [],
"candidate_roles": [],
"chosen_role": {
"display_name": "Data Engineer",
"id": 2,
"rationale": "Domain=Data Engineering \u0026 Analytics; The JD centers on leading end-to-end data engineering delivery, solution architecture, team management, and client-facing consulting work, which best matches Data Engineer among the candidates.",
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
},
"dimensions": [],
"input_final_skills": [
"Data Engineering",
"Solution Architecture",
"Presales",
"RFPs"
],
"input_llm_skills": [
"Data Engineering",
"Solution Architecture",
"Presales",
"RFPs"
],
"new_aliases_persisted": 0,
"run_id": "a859e1cb-3b53-4499-ac76-ec2d2c6dcbf6",
"skills_detail": [
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Data Engineering",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Data Engineering Tools",
"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": "data-engineering",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Solution Architecture",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Architectural Concepts",
"skill_nature": "CONCEPT",
"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": "solution-architecture",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Presales",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Soft Skills",
"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": "presales",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "RFPs",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Soft Skills",
"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": "rfps",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Data Engineering",
"Solution Architecture",
"Presales",
"RFPs"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Data Engineer",
"id": 2,
"rationale": "Domain=Data Engineering \u0026 Analytics; The JD centers on leading end-to-end data engineering delivery, solution architecture, team management, and client-facing consulting work, which best matches Data Engineer among the candidates.",
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Data Engineering",
"tag": "new"
},
{
"skill": "Solution Architecture",
"tag": "new"
},
{
"skill": "Presales",
"tag": "new"
},
{
"skill": "RFPs",
"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": "a859e1cb-3b53-4499-ac76-ec2d2c6dcbf6"
}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.