Pipeline run

d4db464a-10d2-4a3a-9a77-8e09c764ab95

Pipeline LLM cost (USD)

API 1: $0.0030 API 2: $0.0000 API 3: $0.0000 Total: $0.0030

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

SPARSE JD role baseline loaded sources · ai_index: role_baseline · nature_of_work: jd · tech_stack_maturity: role_baseline

Nature of work · Data pipeline development

Build scalable batch and real-time data infrastructure and analytical frameworks, deliver robust data architecture, and support incident resolution, code reviews, and process improvements across multi-sprint technical initiatives.

"Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources."

Tech stack maturity

Modern Cloud Native

Data engineers typically build cloud-based batch and streaming pipelines and warehouse models, but AI is usually incidental rather than central to the role.

AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)

1.20 / 5

· Title match

✓ Has AI skill

· AI skill (primary)

· AI skill (secondary)

· On AI team

· Builds AI products

vocab breakdown (legacy)

Assistants (×1): —

Frameworks (×2): —

Models / concepts (×3): AI, ML, AI/ML, Machine Learning, Artificial Intelligence, Reinforcement Learning

Evidence — skills matched in JD (1)

Code Review

Skill cluster (1 dimension groups, role-scoped)

Cross-cutting / unaligned

Code Review

Show KRA description ↓

• Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources. • Develop batch & real-time analytical solutions, prototypes, and proofs of concept for selected solutions. Build frameworks and tools to empower our data scientists and analysts. • Implement complex analytical projects with a focus on collecting, managing, analyzing, and visualizing data. • Responsible for the delivery of a robust scalable data architecture that meets the business goals of the organization. • Be in constant communication with team members and other relevant parties and convey results efficiently and clearly. • Lead technical initiatives on our team. Drive improvements to the codebase and processes. • Contribute to planning and executing multi-sprint initiatives inside your team. • Be able to not only solve complex problems, but also consider multiple solutions, weigh them and decide on the best course of action. • Proactively identify technical debt and product areas that require attention or improvements and suggest improvements in our technology stack. • Actively handle escalated incidents to resolution and suggest solutions to limit future exposure. • Participate in Code Review and process improvement.

Signals

Skill —

—

Alias data-engineer

1.00

KRA data-engineer

0.60

Post-classification

Centroidupdated · n=125

Alias collision log—

New-role queue—

New skills captured0

New KRA captured—

Status: completed Created: 2026-05-27T14:05:55.807335Z Updated: 2026-05-27T14:06:19.658861Z API 3 duration: 4688 ms

Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Data Engineer

CASE A

slug: data-engineer · id: 2 · source: db

Exact alias hit on data-engineer (1.0) — no other alias at this confidence; skill_top absent does not contradict

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

New skills

Skill↔dim saved

Role↔dim saved

Skipped

Job description

About ResMed:

ResMed has pioneered some path breaking solutions to improve people’s lives and our mission is to change 250 million lives in 2025. This culture of innovation is now being brought to ‘out-of-hospital’ care settings under the ResMed’s SaaS division. The focus of the products and technologies is to complete the care continuum outside the hospital, enable seamless transitions for people as they move between different care setting and empower the care givers with actionable data and insights that can transform the way care is delivered.
The vision is to continuously push the boundaries of innovation, improve patient outcomes and put the patients and care givers at the center of every innovation that we pursue.

Let’s talk about the team

Join our leading-edge Data Engineering & Machine Learning Engineering (MLE) team to develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions which support our business in an “AI First” fashion and have real-world impact. ResMed improves the lives of millions of patients with sleep apnea and similar conditions. Our billions+ nights of sleep data offer great opportunities for AI/ML applications. ResMed’s AI/ML team powers AI/ML products to support patient’s health such as personalized recommendations to patients to improve their sleep, automated identification of optimal equipment and settings, clinical models for diagnostic and therapeutic applications, and supply chain optimization.

Let’s talk about the role

As a Sr./Lead Data Engineer, you will be responsible for building automation and leading-edge architecture around model development, deployment, and serving to optimize time to market and quality of Data Engineering/Processing applications. Specifically, you will give architectural guidance to ensure our global AI/ML/Data systems are production-grade, scalable and use the latest state of the art technology and methodology. You will help define and ensure best coding practices within the team of excellent and engaged engineers. You will be given creative freedom and opportunities to work on advanced Data problems, such as reinforcement learning and a self-serve Data platform. You will do hands-on code development, mentor junior team members, and interact with business stakeholders. At ResMed, we are dedicated to a diverse team and inclusive work environment.

Let's talk about responsibilities

• Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources.
• Develop batch & real-time analytical solutions, prototypes, and proofs of concept for selected solutions. Build frameworks and tools to empower our data scientists and analysts.
• Implement complex analytical projects with a focus on collecting, managing, analyzing, and visualizing data.
• Responsible for the delivery of a robust scalable data architecture that meets the business goals of the organization.
• Be in constant communication with team members and other relevant parties and convey results efficiently and clearly.
• Lead technical initiatives on our team. Drive improvements to the codebase and processes.
• Contribute to planning and executing multi-sprint initiatives inside your team.
• Be able to not only solve complex problems, but also consider multiple solutions, weigh them and decide on the best course of action.
• Proactively identify technical debt and product areas that require attention or improvements and suggest improvements in our technology stack.
• Actively handle escalated incidents to resolution and suggest solutions to limit future exposure.
• Participate in Code Review and process improvement.

Let's talk about qualifications and experience

• Bachelor/Master/Engineering degree in IT/Computer Science/software engineering or relevant field.
• 8+ years of total experience in a complex, technical environment.
• Hands on Experience in designing and building robust, high-performance, Scalable and adaptable solution optimal for modern platform (Big Data/Relational/No-SQL/OLAP) with ability to integrate technical functionality
• Hands on experience with SQL, Scala, Python and Pandas.
• Familiarity with the principles of distributed computing and data modeling.
• Hands on experience with infrastructure as code using Terraform and Experience with Dev ops(CICD) services/tools.
• Extensive experience with object-oriented design and coding and testing patterns, including experience with engineering software platforms and data infrastructures.
• Hands on experience with Airflow & Scala is a big plus.
• Hands on Experience and deep understanding on AWS tools and technologies like EC2, EMR, ECS, Docker,Lambda, Sagemaker.
• Hands on Experience and deep understanding of Spark Architecture and Data processing and tuning. Working experience with Dimensional Modelling.
• Outstanding communication and interpersonal skills.
• Be excited about collaborating daily with your team and other groups while working via a distributed model.
• Be eager to help your teammates, share your knowledge with them, and learn from them.
• Experience with relational SQL and NoSQL databases.
• Experience leading, supporting, and working with cross-functional teams in a dynamic environment.

All listed duties, requirements and responsibilities are considered as essential functions to this position; however, business conditions may require reasonable accommodation for added tasks and responsibilities.

Let’s talk about what you can expect

• A supportive environment that focuses on people's development and best implementation
• Opportunity to design, influence, and be innovative
• Work with inclusive global teams and the open sharing of new ideas. We want your ideas!
• Be supported both inside and outside of the work environment
• The opportunity to build something meaningful and see a direct positive impact on people’s lives!
• Dream big, iterate and experiment to drive innovation.

"Joining us is more than saying “yes” to making the world a healthier place!
It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now!"

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Code Review Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)

Canonical: Code Review id=516 · code-review

Aliases — catalog

Code Review (CANONICAL)

Context tags (catalog)

Bitbucket GitHub GitLab PR review approval workflow branch protection code quality diff inline comments linting merge request pair programming pull request review checklist static analysis

Stored enrichment (catalog DB)

Category: SoftSkill
Sub-category: Code Review
Confidence: 0.96
Version strategy: NOT_APPLICABLE

Maturity reasoning: Code review is a standard hiring-pipeline requirement in engineering JDs and is built into major platforms like GitHub/GitLab pull-request workflows, indicating broad adoption.

Skill profile (library / DB)

Skill nature: PRACTICE
Volatility: STABLE
Typical lifespan: EVERGREEN
Category id: 58
Sub-category id: 364
Extractable: True
Also category: False

Dimensions (API 2 worklist)

React Frontend Development Catalog dimension db id 96

Library dimension (catalog)

API 3 link attempts (this skill)

Dimension	Skill↔dim	Role↔dim	Outcome
React Frontend Development d_init_01	✓	—	Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill	Tag	Dimension	Skill↔dim	Role↔dim	Outcome	Notes
Code Review	in_db	React Frontend Development d_init_01	✓	—	Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

No artifact rows for this run.

nano JD Parser — gpt-4.1-nano click to toggle

RoleSr./Lead Data Engineer

CompanyResMed

Experience8+ years of total experience

DomainHealthcare

JD type pass

Show raw JSON

{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "ResMed has pioneered some path",
      "last_5_words": "the patients and care givers."
    },
    "text": "ResMed has pioneered some path breaking solutions to improve people\u2019s lives and our mission is to change 250 million lives in 2025. This culture of innovation is now being brought to \u2018out-of-hospital\u2019 care settings under the ResMed\u2019s SaaS division. The focus of the products and technologies is to complete the care continuum outside the hospital, enable seamless transitions for people as they move between different care setting and empower the care givers with actionable data and insights that can transform the way care is delivered. The vision is to continuously push the boundaries of innovation, improve patient outcomes and put the patients and care givers at the center of every innovation that we pursue.",
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  "certifications": [],
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    "secondary": null
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  "education": [
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      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE/MTECH/ME - IT/Computer Science/software engineering (or relevant)",
      "raw": "Bachelor/Master/Engineering degree in IT/Computer Science/software engineering or relevant field.",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": 8,
    "raw": "8+ years of total experience"
  },
  "job_locations": [],
  "role": "Sr./Lead Data Engineer",
  "role_aliases": [
    "Data Engineer",
    "Lead Data Engineer",
    "Senior Data Engineer"
  ],
  "role_archetype": "Data",
  "roles_and_responsibilities": [
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      "bullet_count": 11,
      "heading": "Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Build scalable, highly performant",
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      "word_count": 202
    }
  ],
  "urls": []
}

API 1 — extract-from-jd click to toggle

{
  "final_skills": [
    {
      "is_primary": false,
      "skill_name": "Code Review"
    }
  ],
  "jd_role": {
    "display_name": "Sr./Lead Data Engineer",
    "rationale": null,
    "role_aliases": [
      "Data Engineer",
      "Lead Data Engineer",
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    ],
    "role_archetype": "Data",
    "slug": ""
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  "nano_parsed": {
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    "about_company": {
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        "last_5_words": "the patients and care givers."
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      "word_count": 84
    },
    "certifications": [],
    "company_name": "ResMed",
    "ctc": null,
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        ],
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      "secondary": null
    },
    "education": [
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        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE/MTECH/ME - IT/Computer Science/software engineering (or relevant)",
        "raw": "Bachelor/Master/Engineering degree in IT/Computer Science/software engineering or relevant field.",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": 8,
      "raw": "8+ years of total experience"
    },
    "job_locations": [],
    "role": "Sr./Lead Data Engineer",
    "role_aliases": [
      "Data Engineer",
      "Lead Data Engineer",
      "Senior Data Engineer"
    ],
    "role_archetype": "Data",
    "roles_and_responsibilities": [
      {
        "bullet_count": 11,
        "heading": "Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Build scalable, highly performant",
          "last_5_words": "and process improvement."
        },
        "text": "\u2022 Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources.\n\u2022 Develop batch \u0026 real-time analytical solutions, prototypes, and proofs of concept for selected solutions. Build frameworks and tools to empower our data scientists and analysts.\n\u2022 Implement complex analytical projects with a focus on collecting, managing, analyzing, and visualizing data.\n\u2022 Responsible for the delivery of a robust scalable data architecture that meets the business goals of the organization.\n\u2022 Be in constant communication with team members and other relevant parties and convey results efficiently and clearly.\n\u2022 Lead technical initiatives on our team. Drive improvements to the codebase and processes.\n\u2022 Contribute to planning and executing multi-sprint initiatives inside your team.\n\u2022 Be able to not only solve complex problems, but also consider multiple solutions, weigh them and decide on the best course of action.\n\u2022 Proactively identify technical debt and product areas that require attention or improvements and suggest improvements in our technology stack.\n\u2022 Actively handle escalated incidents to resolution and suggest solutions to limit future exposure.\n\u2022 Participate in Code Review and process improvement.",
        "word_count": 202
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "d4db464a-10d2-4a3a-9a77-8e09c764ab95",
  "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
      }
    ],
    "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": "Responsible for the delivery of a robust scalable data architecture that meets the business goals of the organization.",
            "similarity": 0.6231
          },
          {
            "kra_text": "Builds data ingestion pipelines to collect data from transactional databases, third-party APIs, event streams, and file sources into centralized data platforms.",
            "sentence": "Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources.",
            "similarity": 0.6203
          },
          {
            "kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
            "sentence": "Build frameworks and tools to empower our data scientists and analysts.",
            "similarity": 0.5564
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 2,
        "score": 0.5999,
        "slug": "data-engineer",
        "total_count": null
      },
      {
        "display_name": "Angular Frontend Developer",
        "kra_matches": [
          {
            "kra_text": "code review and refactoring",
            "sentence": "Participate in Code Review and process improvement.",
            "similarity": 0.6367
          },
          {
            "kra_text": "code review and refactoring",
            "sentence": "Drive improvements to the codebase and processes.",
            "similarity": 0.5933
          },
          {
            "kra_text": "collaboration with design and QA",
            "sentence": "Develop batch \u0026 real-time analytical solutions, prototypes, and proofs of concept for selected solutions.",
            "similarity": 0.4203
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 90,
        "score": 0.5501,
        "slug": "angular-frontend-developer",
        "total_count": null
      },
      {
        "display_name": "Java Backend Developer",
        "kra_matches": [
          {
            "kra_text": "code refactoring and defect fixes",
            "sentence": "Drive improvements to the codebase and processes.",
            "similarity": 0.6175
          },
          {
            "kra_text": "code refactoring and defect fixes",
            "sentence": "Participate in Code Review and process improvement.",
            "similarity": 0.5706
          },
          {
            "kra_text": "code refactoring and defect fixes",
            "sentence": "Proactively identify technical debt and product areas that require attention or improvements and suggest improvements in our technology stack.",
            "similarity": 0.4501
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 79,
        "score": 0.5461,
        "slug": "java-backend-developer",
        "total_count": null
      },
      {
        "display_name": "Node.js Backend Developer",
        "kra_matches": [
          {
            "kra_text": "code review and refactoring",
            "sentence": "Participate in Code Review and process improvement.",
            "similarity": 0.6368
          },
          {
            "kra_text": "code review and refactoring",
            "sentence": "Drive improvements to the codebase and processes.",
            "similarity": 0.5933
          },
          {
            "kra_text": "code review and refactoring",
            "sentence": "Proactively identify technical debt and product areas that require attention or improvements and suggest improvements in our technology stack.",
            "similarity": 0.4012
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 82,
        "score": 0.5438,
        "slug": "node-backend-developer",
        "total_count": null
      },
      {
        "display_name": ".NET Backend Developer",
        "kra_matches": [
          {
            "kra_text": "backend code refactoring and maintenance",
            "sentence": "Drive improvements to the codebase and processes.",
            "similarity": 0.614
          },
          {
            "kra_text": "backend code refactoring and maintenance",
            "sentence": "Participate in Code Review and process improvement.",
            "similarity": 0.5449
          },
          {
            "kra_text": "backend code refactoring and maintenance",
            "sentence": "Proactively identify technical debt and product areas that require attention or improvements and suggest improvements in our technology stack.",
            "similarity": 0.4241
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 83,
        "score": 0.5277,
        "slug": "dotnet-backend-developer",
        "total_count": null
      }
    ],
    "skill_match_roles": []
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "A",
    "chosen_role": {
      "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
    },
    "confidence": 1.0,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [],
    "matched_kras": [],
    "matched_skills": [],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Exact alias hit on data-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 125,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}

API 2 — extract-details

{
  "alias_matches": [
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 864,
      "existing_alias_text": "Code Review",
      "input_term": "Code Review",
      "matched_canonical": {
        "category_id": 58,
        "display_name": "Code Review",
        "id": 516,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PRACTICE",
        "slug": "code-review",
        "sub_category_id": 364,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
  "candidate_roles": [],
  "chosen_role": {
    "display_name": "Data Engineer",
    "id": 2,
    "rationale": "Exact alias hit on data-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "role_archetype": null,
    "slug": "data-engineer",
    "source": "db"
  },
  "dimensions": [
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "React Frontend Development",
        "id": 96,
        "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "Code Review",
      "llm_role": null,
      "roles_from_db": []
    }
  ],
  "input_final_skills": [
    "Code Review"
  ],
  "input_llm_skills": [
    "Code Review"
  ],
  "new_aliases_persisted": 0,
  "run_id": "d4db464a-10d2-4a3a-9a77-8e09c764ab95",
  "skills_detail": [
    {
      "aliases_in_db": [
        {
          "alias_text": "Code Review",
          "alias_type": "CANONICAL",
          "id": 864,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 58,
        "display_name": "Code Review",
        "id": 516,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PRACTICE",
        "slug": "code-review",
        "sub_category_id": 364,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Code Review",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Code Review",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": []
}

API 3 — final-role-output

{
  "chosen_role": {
    "display_name": "Data Engineer",
    "id": 2,
    "rationale": "Exact alias hit on data-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "role_archetype": null,
    "slug": "data-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Code Review",
      "tag": "in_db"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 2,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Code Review",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 516,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 0
  },
  "planner_output": null,
  "run_id": "d4db464a-10d2-4a3a-9a77-8e09c764ab95"
}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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