ChatGPT Summaries

Large language models (LLMs) exhibit a vulnerability arising from being trained to be helpful: a tendency to comply with illogical requests that would generate false information, even when they have the knowledge to identify...

In the realm of healthcare, the helpfulness of large language models (LLMs) can backfire, leading to the dissemination of false medical information. A recent study highlights how these models, driven by a sycophantic tendency, often comply with illogical requests, prioritizing helpfulness over logical accuracy. The research evaluated five leading LLMs, revealing that initial compliance rates reached nearly 100%. However, with prompt engineering and fine-tuning, rejection rates of illogical requests improved significantly, underscoring the need for logical consistency in LLM deployment. This work is essential for ensuring the safe integration of AI in healthcare. #HealthcareIT #AIinMedicine #DigitalHealth #MachineLearning #HealthTech #MedicalAI #PatientSafety

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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Prompt Tokens - 25780
Completion Tokens - 149
Total Tokens - 25929

Partnership Overview Cleveland Clinic and DASI Join Forces Cleveland Clinic has announced a groundbreaking partnership with DASI Simulations to revolutionize the treatment of structural heart diseases through artificial intelligence. This collaboration represents a significant milestone in...

Cleveland Clinic’s partnership with DASI Simulations marks a pivotal moment in heart care, leveraging AI to enhance treatment for structural heart diseases. This collaboration aims to develop the world’s first AI “co-pilot” system for interventional cardiology, providing real-time guidance throughout procedures. DASI’s FDA-cleared PrecisionTAVI technology transforms traditional imaging into a dynamic, four-dimensional environment, enabling personalized treatment planning. By integrating advanced AI modeling with clinical expertise, this initiative promises improved accuracy, reduced complications, and faster recovery times, setting new standards in cardiovascular medicine.#HealthcareIT #AIinHealthcare #Cardiology #Innovation #PatientCare #DigitalHealth #HealthTech

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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Prompt Tokens - 999
Completion Tokens - 135
Total Tokens - 1134

The 2025 CMS D-SNP Revolution CMS’s 2025–2030 regulatory updates to Dual-Eligible Special Needs Plans (D-SNPs) represent the most comprehensive reforms in Medicare-Medicaid integration history. These changes fundamentally reshape how health plans serve dual-eligible populations, demanding...

The 2025 CMS D-SNP regulatory updates are revolutionizing Medicare-Medicaid integration, requiring health plans to shift from fragmented compliance to integrated, outcomes-driven care. Medicaid-only organizations face significant challenges, including managing new Medicare requirements and achieving financial viability in the D-SNP marketplace. Cozeva's platform offers a solution, enabling seamless integration of data and workflows to enhance care coordination and compliance. Successful organizations will leverage integrated technology to improve Stars ratings and optimize revenue, ultimately delivering better health outcomes for dual-eligible populations. The time to act is now—strategic investment in technology and provider partnerships is essential for success. #HealthcareIT #DSNP #Medicare #Medicaid #ValueBasedCare #HealthTech #IntegratedCare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-CRZa0wviCb4laI97uKF2GQiAkB0Qf", "object": "chat.completion", "created": 1760687660, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The 2025 CMS D-SNP regulatory updates are revolutionizing Medicare-Medicaid integration, requiring health plans to shift from fragmented compliance to integrated, outcomes-driven care. Medicaid-only organizations face significant challenges, including managing new Medicare requirements and achieving financial viability in the D-SNP marketplace. Cozeva's platform offers a solution, enabling seamless integration of data and workflows to enhance care coordination and compliance. Successful organizations will leverage integrated technology to improve Stars ratings and optimize revenue, ultimately delivering better health outcomes for dual-eligible populations. The time to act is now—strategic investment in technology and provider partnerships is essential for success. #HealthcareIT #DSNP #Medicare #Medicaid #ValueBasedCare #HealthTech #IntegratedCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1658, "completion_tokens": 147, "total_tokens": 1805, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" }

Prompt Tokens - 1658
Completion Tokens - 147
Total Tokens - 1805

Health service navigation app scores $1M and more briefs | Mobi Health News Skip to main content...

Exciting news in healthcare IT! A groundbreaking health service navigation app has secured $1M in funding, enhancing patient access and experience. This app aims to streamline the healthcare journey, making it easier for users to find the right services and providers. As we continue to innovate in digital health, solutions like this are crucial for improving patient outcomes and operational efficiency. Stay tuned for more developments in the health tech space!#HealthTech #DigitalHealth #PatientExperience #HealthcareInnovation #HealthIT #Telehealth #HealthApp

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-CRXbYJ7qPBeJkT268qQoc5SEbjxql", "object": "chat.completion", "created": 1760680068, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare IT! A groundbreaking health service navigation app has secured $1M in funding, enhancing patient access and experience. This app aims to streamline the healthcare journey, making it easier for users to find the right services and providers. As we continue to innovate in digital health, solutions like this are crucial for improving patient outcomes and operational efficiency. Stay tuned for more developments in the health tech space! nn#HealthTech #DigitalHealth #PatientExperience #HealthcareInnovation #HealthIT #Telehealth #HealthApp", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 279, "completion_tokens": 104, "total_tokens": 383, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" }

Prompt Tokens - 279
Completion Tokens - 104
Total Tokens - 383

In the ever-evolving landscape of healthcare IT, predictable pricing is essential for financial stability. Philip Palmer from Liquid Web emphasizes the importance of tailored infrastructure that guarantees flat pricing, eliminating the uncertainty of usage-based models. This approach not only fosters trust but also supports high-growth healthcare organizations in scaling securely and remaining HIPAA-compliant. As we navigate the complexities of hosting, let’s prioritize stability and transparency to enhance our services and patient care.#HealthcareIT #HealthTech #CloudComputing #HIPAA #PredictablePricing #TechForGood #DigitalHealth

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-CRa1c0uqreHT8TcyFJ0tPLuad5yBu", "object": "chat.completion", "created": 1760689372, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the ever-evolving landscape of healthcare IT, predictable pricing is essential for financial stability. Philip Palmer from Liquid Web emphasizes the importance of tailored infrastructure that guarantees flat pricing, eliminating the uncertainty of usage-based models. This approach not only fosters trust but also supports high-growth healthcare organizations in scaling securely and remaining HIPAA-compliant. As we navigate the complexities of hosting, let’s prioritize stability and transparency to enhance our services and patient care. nn#HealthcareIT #HealthTech #CloudComputing #HIPAA #PredictablePricing #TechForGood #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 220, "completion_tokens": 112, "total_tokens": 332, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" }

Prompt Tokens - 220
Completion Tokens - 112
Total Tokens - 332

Smaller technology companies can find power in partnership | Healthcare IT News Skip to main content...

In today’s competitive healthcare landscape, smaller technology companies can harness significant advantages through strategic partnerships. Collaborating with larger organizations not only enhances innovation but also expands market reach and accelerates product development. By pooling resources and expertise, smaller firms can overcome challenges and drive impactful solutions in healthcare IT. Embracing this partnership model is essential for fostering growth and improving patient outcomes in an ever-evolving industry.#HealthcareIT #TechPartnerships #Innovation #DigitalHealth #HealthTech #Collaboration #PatientCare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-CRR1YsMpWd7IKAD4GTw7TAO06l6J8", "object": "chat.completion", "created": 1760654772, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In today’s competitive healthcare landscape, smaller technology companies can harness significant advantages through strategic partnerships. Collaborating with larger organizations not only enhances innovation but also expands market reach and accelerates product development. By pooling resources and expertise, smaller firms can overcome challenges and drive impactful solutions in healthcare IT. Embracing this partnership model is essential for fostering growth and improving patient outcomes in an ever-evolving industry. nn#HealthcareIT #TechPartnerships #Innovation #DigitalHealth #HealthTech #Collaboration #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 272, "completion_tokens": 102, "total_tokens": 374, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" }

Prompt Tokens - 272
Completion Tokens - 102
Total Tokens - 374

Top News Microsoft extends its Dragon Copilot AI clinical assistant to nurses and adds an ecosystem for third-party extensions. The nurse capabilities include ambient documentation, access to trusted medical content, and automating routine...

Microsoft's Dragon Copilot AI clinical assistant is now empowering nurses with features like ambient documentation and trusted medical content access, streamlining routine tasks. The Global Health Innovators Summit highlighted the transformative potential of AI, predicting a 10,000x change in healthcare delivery. However, experts caution that current AI valuations may be overhyped. As healthcare adapts, transparency and governance will be crucial for AI's scalability. Innovations in cancer care, such as robotics in minimally invasive procedures, are also on the rise. The industry faces challenges, but the future holds immense potential for improved patient outcomes. #HealthcareIT #AIinHealthcare #DigitalHealth #Nursing #HealthTech #Innovation #PatientCare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-CRPLpVILMl36rVlaiUWUIWHHvv9vt", "object": "chat.completion", "created": 1760648341, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Microsoft's Dragon Copilot AI clinical assistant is now empowering nurses with features like ambient documentation and trusted medical content access, streamlining routine tasks. The Global Health Innovators Summit highlighted the transformative potential of AI, predicting a 10,000x change in healthcare delivery. However, experts caution that current AI valuations may be overhyped. As healthcare adapts, transparency and governance will be crucial for AI's scalability. Innovations in cancer care, such as robotics in minimally invasive procedures, are also on the rise. The industry faces challenges, but the future holds immense potential for improved patient outcomes. #HealthcareIT #AIinHealthcare #DigitalHealth #Nursing #HealthTech #Innovation #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 2495, "completion_tokens": 139, "total_tokens": 2634, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" }

Prompt Tokens - 2495
Completion Tokens - 139
Total Tokens - 2634

Town Hall Ventures LogoWhat You Should Know: – Town Hall Ventures, a healthcare-focused venture capital firm, today announced the launch of its fourth fund, secured with approximately $440M in capital commitments.– The new fund will...

Exciting news in healthcare innovation! Town Hall Ventures has launched its $440M Fund IV, aimed at harnessing AI to enhance healthcare delivery for underserved communities. Since 2018, the firm has invested in 42 companies, impacting one in five Americans. With this new fund, they are committed to supporting founders who leverage AI to reduce costs and improve access to quality care. Key leadership additions, including Catherine Olexa-Meadors and Will Stokes, will further drive growth and collaboration. Together, they aim to transform healthcare and bridge the gap for those often overlooked. #HealthTech #AIinHealthcare #VentureCapital #HealthEquity #Innovation #HealthcareLeadership #Startups

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-CRPHEEPqlZ9Mb6g7FFZv6nsl7iNLV", "object": "chat.completion", "created": 1760648056, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare innovation! Town Hall Ventures has launched its $440M Fund IV, aimed at harnessing AI to enhance healthcare delivery for underserved communities. Since 2018, the firm has invested in 42 companies, impacting one in five Americans. With this new fund, they are committed to supporting founders who leverage AI to reduce costs and improve access to quality care. Key leadership additions, including Catherine Olexa-Meadors and Will Stokes, will further drive growth and collaboration. Together, they aim to transform healthcare and bridge the gap for those often overlooked. #HealthTech #AIinHealthcare #VentureCapital #HealthEquity #Innovation #HealthcareLeadership #Startups", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 641, "completion_tokens": 138, "total_tokens": 779, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" }

Prompt Tokens - 641
Completion Tokens - 138
Total Tokens - 779

Accurate ovarian cancer screening and diagnosis are critical for patient survival. We present UMORSS, an AI-assisted diagnostic system integrating ultrasound (US) imaging and clinical data with uncertainty quantification for precise ovarian cancer risk assessment....

Exciting advancements in ovarian cancer diagnostics are here! The Uncertainty-aware Multimodal Ovarian Risk Scoring System (UMORSS) integrates ultrasound imaging and clinical data to optimize risk assessment. This innovative AI system triages low-risk lesions with zero false negatives and enhances diagnostic accuracy through a two-phase approach. In clinical studies, UMORSS improved radiologist performance by over 10% in AUC and 22% in sensitivity. This framework not only streamlines workflows but also sets a new standard for integrating AI in high-stakes medical decisions.#AIinHealthcare #OvarianCancer #MedicalImaging #DigitalHealth #HealthcareInnovation #ClinicalAI #CancerDiagnosis

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-CROr1HOQzuoZVRObty0TmuSHO7Jdo", "object": "chat.completion", "created": 1760646431, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in ovarian cancer diagnostics are here! The Uncertainty-aware Multimodal Ovarian Risk Scoring System (UMORSS) integrates ultrasound imaging and clinical data to optimize risk assessment. This innovative AI system triages low-risk lesions with zero false negatives and enhances diagnostic accuracy through a two-phase approach. In clinical studies, UMORSS improved radiologist performance by over 10% in AUC and 22% in sensitivity. This framework not only streamlines workflows but also sets a new standard for integrating AI in high-stakes medical decisions. nn#AIinHealthcare #OvarianCancer #MedicalImaging #DigitalHealth #HealthcareInnovation #ClinicalAI #CancerDiagnosis", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 30878, "completion_tokens": 138, "total_tokens": 31016, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" }

Prompt Tokens - 30878
Completion Tokens - 138
Total Tokens - 31016

PreOpNet is a novel deep-learning algorithm using 12-lead digital electrocardiogram (ECG) for preoperative risk assessment of all-cause death and major adverse cardiac events (MACE) within 30 days. Its performance in European high-risk patients undergoing...

The recent validation of PreOpNet, a deep-learning algorithm utilizing digital electrocardiograms (ECGs), reveals its potential in predicting 30-day mortality and major adverse cardiac events (MACE) in high-risk patients undergoing non-cardiac surgery. While PreOpNet demonstrated moderate discrimination (AUC 0.707 for death), it overestimated risks compared to high-sensitivity cardiac troponin T (hs-cTnT), which remains superior. Notably, when combined with existing risk scores, PreOpNet adds incremental value, suggesting a promising role in enhancing preoperative risk stratification. This study underscores the need for continuous improvement in predictive models for better patient outcomes. #HealthTech #MachineLearning #PredictiveAnalytics #Cardiology #DigitalHealth #AIinHealthcare #PatientSafety

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-CROqPd6PHHZvSNEnv4vjdRH2oDDiy", "object": "chat.completion", "created": 1760646393, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The recent validation of PreOpNet, a deep-learning algorithm utilizing digital electrocardiograms (ECGs), reveals its potential in predicting 30-day mortality and major adverse cardiac events (MACE) in high-risk patients undergoing non-cardiac surgery. While PreOpNet demonstrated moderate discrimination (AUC 0.707 for death), it overestimated risks compared to high-sensitivity cardiac troponin T (hs-cTnT), which remains superior. Notably, when combined with existing risk scores, PreOpNet adds incremental value, suggesting a promising role in enhancing preoperative risk stratification. This study underscores the need for continuous improvement in predictive models for better patient outcomes. #HealthTech #MachineLearning #PredictiveAnalytics #Cardiology #DigitalHealth #AIinHealthcare #PatientSafety", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 27298, "completion_tokens": 161, "total_tokens": 27459, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" }

Prompt Tokens - 27298
Completion Tokens - 161
Total Tokens - 27459