Pipeline run
e21a7c98-7ade-4881-acd1-08f8bcc9ac17
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
DevOps Engineer
→Infrastructure Automation Engineer
sub-role · 0.88 domain · DevOps & Platform CASE DOMAINslug: devops-engineer · id: 10 · source: db · sub-role slug: infrastructure-automation-engineer
Domain=DevOps & Platform → sub-role infrastructure-automation-engineer; The JD centers on automation pipelines, Ansible-driven orchestration, deployment, infrastructure management, and monitoring/troubleshooting, which aligns best with DevOps engineering.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Skills: data automation, Red Hat openshift, Ansible, Data cloud, Data center, SQL, Core Skills: Data Center and Data Cloud and Data Automation, Local Infrastructure Description As a Data Automation Engineer, you will play a crucial role in designing, implementing, and maintaining data automation pipelines using Red Hat OpenShift and Ansible. Your responsibilities will include: Pipeline Design And Development • Collaborate with data scientists, engineers, and stakeholders to design end-to-end data pipelines. • Develop and maintain automated workflows for data acquisition, transformation, and model deployment. OpenShift And Ansible Integration • Use Ansible playbooks to orchestrate configurations, deploy applications, and manage infrastructure. Data Governance And Security • Ensure data quality, consistency, and compliance with organizational standards. • Implement security measures to protect sensitive data within the pipelines. Automation And Efficiency • Automate pipeline runs to optimize data workflows. • Monitor and troubleshoot pipeline performance using Ansible automation.
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
- Cloud Platforms
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Ansible (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Tool
- Sub-category
- Configuration Management Tool
- Vendor
- Red Hat
- License
- apache_2
- Year introduced
- 2012
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Commonly listed in DevOps/SRE job descriptions for config management and automation; strong GitHub usage and Red Hat/AWX ecosystem signal broad adoption.
Skill profile (library / DB)
- Skill nature
- TOOL
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 13
- Sub-category id
- 576
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Configuration Management Catalog dimension db id 133
Library dimension (catalog)
Roles linked in library: Cloud Architect, DevOps Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Configuration Management
configuration-management
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
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 |
|---|---|---|---|---|---|---|
| Ansible | in_db |
Configuration Management
configuration-management
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Red Hat OpenShift | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": null,
"job_locations": [],
"role": "Data Automation Engineer",
"role_aliases": [
"Data Engineer",
"Automation Engineer",
"Data Pipeline Engineer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "Description",
"heading_was_present": true,
"source_marker": {
"first_5_words": "As a Data Automation Engineer,",
"last_5_words": "responsibilities will include:"
},
"text": "As a Data Automation Engineer, you will play a crucial role in designing, implementing, and maintaining data automation pipelines using Red Hat OpenShift and Ansible. Your responsibilities will include:",
"word_count": 36
},
{
"bullet_count": 2,
"heading": "Pipeline Design And Development",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Collaborate with data scientists,",
"last_5_words": "and model deployment."
},
"text": "\u2022 Collaborate with data scientists, engineers, and stakeholders to design end-to-end data pipelines.\n\u2022 Develop and maintain automated workflows for data acquisition, transformation, and model deployment.",
"word_count": 30
},
{
"bullet_count": 1,
"heading": "OpenShift And Ansible Integration",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Use Ansible playbooks to",
"last_5_words": "manage infrastructure."
},
"text": "\u2022 Use Ansible playbooks to orchestrate configurations, deploy applications, and manage infrastructure.",
"word_count": 19
},
{
"bullet_count": 2,
"heading": "Data Governance And Security",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Ensure data quality, consistency,",
"last_5_words": "within the pipelines."
},
"text": "\u2022 Ensure data quality, consistency, and compliance with organizational standards.\n\u2022 Implement security measures to protect sensitive data within the pipelines.",
"word_count": 25
},
{
"bullet_count": 2,
"heading": "Automation And Efficiency",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Automate pipeline runs to",
"last_5_words": "using Ansible automation."
},
"text": "\u2022 Automate pipeline runs to optimize data workflows.\n\u2022 Monitor and troubleshoot pipeline performance using Ansible automation.",
"word_count": 19
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Red Hat OpenShift"
},
{
"is_primary": true,
"skill_name": "Ansible"
}
],
"jd_role": {
"display_name": "Data Automation Engineer",
"rationale": null,
"role_aliases": [
"Data Engineer",
"Automation Engineer",
"Data Pipeline Engineer"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": null,
"job_locations": [],
"role": "Data Automation Engineer",
"role_aliases": [
"Data Engineer",
"Automation Engineer",
"Data Pipeline Engineer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "Description",
"heading_was_present": true,
"source_marker": {
"first_5_words": "As a Data Automation Engineer,",
"last_5_words": "responsibilities will include:"
},
"text": "As a Data Automation Engineer, you will play a crucial role in designing, implementing, and maintaining data automation pipelines using Red Hat OpenShift and Ansible. Your responsibilities will include:",
"word_count": 36
},
{
"bullet_count": 2,
"heading": "Pipeline Design And Development",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Collaborate with data scientists,",
"last_5_words": "and model deployment."
},
"text": "\u2022 Collaborate with data scientists, engineers, and stakeholders to design end-to-end data pipelines.\n\u2022 Develop and maintain automated workflows for data acquisition, transformation, and model deployment.",
"word_count": 30
},
{
"bullet_count": 1,
"heading": "OpenShift And Ansible Integration",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Use Ansible playbooks to",
"last_5_words": "manage infrastructure."
},
"text": "\u2022 Use Ansible playbooks to orchestrate configurations, deploy applications, and manage infrastructure.",
"word_count": 19
},
{
"bullet_count": 2,
"heading": "Data Governance And Security",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Ensure data quality, consistency,",
"last_5_words": "within the pipelines."
},
"text": "\u2022 Ensure data quality, consistency, and compliance with organizational standards.\n\u2022 Implement security measures to protect sensitive data within the pipelines.",
"word_count": 25
},
{
"bullet_count": 2,
"heading": "Automation And Efficiency",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Automate pipeline runs to",
"last_5_words": "using Ansible automation."
},
"text": "\u2022 Automate pipeline runs to optimize data workflows.\n\u2022 Monitor and troubleshoot pipeline performance using Ansible automation.",
"word_count": 19
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "e21a7c98-7ade-4881-acd1-08f8bcc9ac17",
"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": "Implements data quality validation rules, reconciliation checks, and anomaly detection to ensure data completeness, accuracy, and consistency.",
"sentence": "Ensure data quality, consistency, and compliance with organizational standards.",
"similarity": 0.6945
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Collaborate with data scientists, engineers, and stakeholders to design end-to-end data pipelines.",
"similarity": 0.6843
},
{
"kra_text": "Monitors pipeline health, SLA breach alerts, and job failure notifications, and performs root cause analysis for data pipeline incidents.",
"sentence": "Monitor and troubleshoot pipeline performance using Ansible automation.",
"similarity": 0.6177
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.6655,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"kra_matches": [
{
"kra_text": "Sets up and maintains development, staging, and production environments with consistent configuration management using Ansible, Puppet, or Chef.",
"sentence": "Use Ansible playbooks to orchestrate configurations, deploy applications, and manage infrastructure.",
"similarity": 0.6508
},
{
"kra_text": "Monitors CI/CD pipeline reliability, identifies bottlenecks in delivery workflows, and improves deployment frequency, lead time, and failure recovery rate.",
"sentence": "Monitor and troubleshoot pipeline performance using Ansible automation.",
"similarity": 0.6259
},
{
"kra_text": "Monitors CI/CD pipeline reliability, identifies bottlenecks in delivery workflows, and improves deployment frequency, lead time, and failure recovery rate.",
"sentence": "Automate pipeline runs to optimize data workflows.",
"similarity": 0.5556
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 10,
"score": 0.6108,
"slug": "devops-engineer",
"total_count": null
},
{
"display_name": "MLOps Engineer",
"kra_matches": [
{
"kra_text": "Automates ML platform operations including scheduled retraining triggers, pipeline orchestration, evaluation workflows, and alerting configuration.",
"sentence": "Automate pipeline runs to optimize data workflows.",
"similarity": 0.6269
},
{
"kra_text": "Automates ML platform operations including scheduled retraining triggers, pipeline orchestration, evaluation workflows, and alerting configuration.",
"sentence": "Develop and maintain automated workflows for data acquisition, transformation, and model deployment.",
"similarity": 0.5983
},
{
"kra_text": "Validates model performance benchmarks, data schema contracts, and system integration health before signing off on production release readiness.",
"sentence": "Ensure data quality, consistency, and compliance with organizational standards.",
"similarity": 0.5207
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 16,
"score": 0.582,
"slug": "ml-ops-engineer",
"total_count": null
},
{
"display_name": "ML Engineer",
"kra_matches": [
{
"kra_text": "Prepares, cleans, and transforms training datasets, manages feature stores, and builds feature engineering pipelines for model training.",
"sentence": "Develop and maintain automated workflows for data acquisition, transformation, and model deployment.",
"similarity": 0.5951
},
{
"kra_text": "Prepares, cleans, and transforms training datasets, manages feature stores, and builds feature engineering pipelines for model training.",
"sentence": "Collaborate with data scientists, engineers, and stakeholders to design end-to-end data pipelines.",
"similarity": 0.5269
},
{
"kra_text": "Monitors production model behavior for data drift, concept drift, and prediction performance degradation using monitoring dashboards and alerting.",
"sentence": "Monitor and troubleshoot pipeline performance using Ansible automation.",
"similarity": 0.4453
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 3,
"score": 0.5224,
"slug": "ml-engineer",
"total_count": null
},
{
"display_name": "AI Engineer",
"kra_matches": [
{
"kra_text": "Optimizes AI pipeline efficiency by tuning model selection, context window usage, prompt caching, and batching strategies to reduce cost and latency.",
"sentence": "Automate pipeline runs to optimize data workflows.",
"similarity": 0.5245
},
{
"kra_text": "Designs and implements prompt engineering workflows, few-shot examples, chain-of-thought patterns, and structured output parsing for AI feature pipelines.",
"sentence": "Develop and maintain automated workflows for data acquisition, transformation, and model deployment.",
"similarity": 0.5217
},
{
"kra_text": "Designs and implements prompt engineering workflows, few-shot examples, chain-of-thought patterns, and structured output parsing for AI feature pipelines.",
"sentence": "Collaborate with data scientists, engineers, and stakeholders to design end-to-end data pipelines.",
"similarity": 0.4911
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 13,
"score": 0.5124,
"slug": "ai-engineer",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "Cloud Architect",
"kra_matches": null,
"matched_count": 1,
"matched_skills": [
"Ansible"
],
"role_id": 9,
"score": 0.5,
"slug": "cloud-architect",
"total_count": 2
},
{
"display_name": "DevOps Engineer",
"kra_matches": null,
"matched_count": 1,
"matched_skills": [
"Ansible"
],
"role_id": 10,
"score": 0.5,
"slug": "devops-engineer",
"total_count": 2
}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
"chosen_role": {
"display_name": "DevOps Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 10,
"score": 0.89,
"slug": "devops-engineer",
"total_count": null
},
"confidence": 0.89,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [
"Data pipeline automation",
"Infrastructure orchestration and deployment",
"Workflow automation",
"Data quality and compliance",
"Pipeline security",
"Pipeline monitoring and troubleshooting"
],
"matched_kras": [
"designing, implementing, and maintaining data automation pipelines",
"design end-to-end data pipelines",
"develop and maintain automated workflows",
"use Ansible playbooks to orchestrate configurations",
"deploy applications, and manage infrastructure",
"ensure data quality, consistency, and compliance",
"implement security measures to protect sensitive data",
"automate pipeline runs to optimize data workflows",
"monitor and troubleshoot pipeline performance"
],
"matched_skills": [
"Red Hat OpenShift",
"Ansible",
"Ansible playbooks"
],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Domain=DevOps \u0026 Platform \u2192 sub-role infrastructure-automation-engineer; The JD centers on automation pipelines, Ansible-driven orchestration, deployment, infrastructure management, and monitoring/troubleshooting, which aligns best with DevOps engineering.",
"sub_role": {
"confidence": 0.88,
"display_name": "Infrastructure Automation Engineer",
"reasoning": "The JD centers on automating infrastructure and pipeline workflows with Red Hat OpenShift and Ansible, which fits infrastructure automation more than CI/CD or generic DevOps.",
"role_id": 367,
"slug": "infrastructure-automation-engineer"
}
},
"stage5_updates": {
"centroid_n_after": 81,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": null,
"new_skills_attached": [
{
"is_primary": true,
"queue_id": 16122,
"role_display_name": "DevOps Engineer",
"role_slug": "devops-engineer",
"skill_name": "Red Hat OpenShift",
"status": "pending"
}
],
"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": 1262,
"existing_alias_text": "Ansible",
"input_term": "Ansible",
"matched_canonical": {
"category_id": 13,
"display_name": "Ansible",
"id": 721,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "TOOL",
"slug": "ansible",
"sub_category_id": 576,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
}
],
"candidate_roles": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
},
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
}
],
"chosen_role": {
"display_name": "DevOps Engineer",
"id": 10,
"rationale": "Domain=DevOps \u0026 Platform \u2192 sub-role infrastructure-automation-engineer; The JD centers on automation pipelines, Ansible-driven orchestration, deployment, infrastructure management, and monitoring/troubleshooting, which aligns best with DevOps engineering.",
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Configuration Management",
"id": 133,
"rationale": "Host and fleet configuration tools used to standardize operating system state, bootstrap servers, and enforce baseline settings. This is distinct from IaC because it focuses on in-guest configuration rather than cloud resource provisioning.",
"slug": "configuration-management",
"source": "db"
},
"input_skill": "Ansible",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
},
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
}
]
}
],
"input_final_skills": [
"Red Hat OpenShift",
"Ansible"
],
"input_llm_skills": [
"Red Hat OpenShift",
"Ansible"
],
"new_aliases_persisted": 0,
"run_id": "e21a7c98-7ade-4881-acd1-08f8bcc9ac17",
"skills_detail": [
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Red Hat OpenShift",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Cloud Platforms",
"skill_nature": "PLATFORM",
"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": "red-hat-openshift",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "Ansible",
"alias_type": "CANONICAL",
"id": 1262,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 13,
"display_name": "Ansible",
"id": 721,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "TOOL",
"slug": "ansible",
"sub_category_id": 576,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Configuration Management",
"id": 133,
"rationale": "Host and fleet configuration tools used to standardize operating system state, bootstrap servers, and enforce baseline settings. This is distinct from IaC because it focuses on in-guest configuration rather than cloud resource provisioning.",
"slug": "configuration-management",
"source": "db"
},
"input_skill": "Ansible",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
},
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
}
]
}
],
"input_skill": "Ansible",
"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": [
"Red Hat OpenShift"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "DevOps Engineer",
"id": 10,
"rationale": "Domain=DevOps \u0026 Platform \u2192 sub-role infrastructure-automation-engineer; The JD centers on automation pipelines, Ansible-driven orchestration, deployment, infrastructure management, and monitoring/troubleshooting, which aligns best with DevOps engineering.",
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Red Hat OpenShift",
"tag": "new"
},
{
"skill": "Ansible",
"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": 10,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Configuration Management",
"id": 133,
"rationale": "Host and fleet configuration tools used to standardize operating system state, bootstrap servers, and enforce baseline settings. This is distinct from IaC because it focuses on in-guest configuration rather than cloud resource provisioning.",
"slug": "configuration-management",
"source": "db"
},
"dimension_id": 133,
"input_skill": "Ansible",
"llm_role": null,
"matched_chosen_role": true,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
"role_dimension_saved": true,
"roles_from_db": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
},
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 721,
"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": "e21a7c98-7ade-4881-acd1-08f8bcc9ac17"
}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.