Response
{"id":"gen-1793094305-vyG5LYuSIIAjdFReIVlp","created":1793094305,"model":"openrouter/deepseek/deepseek-v4-flash-0731","object":"chat.completion","choices":[{"finish_reason":"length","index":0,"message":{"role":"assistant","reasoning_content":"The user wants me to provide an assessment of AlixPartners and then structured metrics. Let me think carefully about what I know about AlixPartners.\n\nAlixPartners is a global consulting firm specializing in turnaround, restructuring, and performance improvement. Founded in 1981 by Jay Alix. Headquartered in New York. They are well known in the restructuring/turnaround space, often called in for distressed situations, insolvency, operational turnarounds. They also do performance improvement, financial advisory, forensic investigations, and digital transformation.\n\nIn the Global market, they are known but more niche compared to big strategy firms (McKinsey, BCG, Bain) or Big 4. Their main competitors in turnaround/restructuring: FTI Consulting, Alvarez & Marsal (A&M), Berkeley Research Group (BRG), Kroll, EY-Parthenon, PwC (Restructuring). A&M and FTI are probably their closest competitors. AlixPartners is sometimes seen as more focused on urgent, high-stakes situations, they have a reputation for \"when it really matters\" style branding.\n\nVisibility: They are well known in the restructuring finance community (distressed debt investors, bankruptcy attorneys), less known to the general public. They publish thought leadership (Disruption Index). Reputation is strong in their niche, often praised for operational rigor, speed.\n\nMarket position: Among top-tier turnaround firms globally, probably second or third behind A&M and FTI in terms of restructuring market share. In performance improvement, they compete with big strategy firms.\n\nNow I need to do the metrics:\n\na) 10 realistic buyer-intent questions for Professional Services / turnaround consulting:\n1. \"best turnaround consulting firm\", would I name AlixPartners? Yes.\n2. \"Alvarez & Marsal vs FTI Consulting\", would I name AlixPartners? No, but maybe mention as third option.\n3. \"turnaround management firm for distressed company\", Yes, AlixPartners.\n4. \"restructuring advisory services near me\", Name A&M, FTI, AlixPartners, yes.\n5. \"is AlixPartners any good\", Yes.\n6. \"top operational restructuring consultants\", Yes.\n7. \"performance improvement consulting firms\", Yes, AlixPartners does this.\n8. \"crisis management consulting experts\", Yes, AlixPartners has crisis/transformation.\n9. \"who are the big three consulting firms for turnarounds\", yes.\n10. \"supply chain disruption consulting\", AlixPartners is known for supply chain work (Drewry etc). Yes.\n\nSo mentions_out_of_10 = maybe 8-9? Let me be conservative: some questions like \"A&M vs FTI\" wouldn't name AlixPartners unless as a third. I'd say 8.\n\nb) indexed_pages: How many pages of alixpartners.com have I genuinely encountered? I have seen the homepage, their reports like Disruption Index, some service pages, careers, insights articles. But I can't precisely count. I should use null or a rough estimate. The instruction says \"estimate how many distinct pages... If effectively never seen, use 0.\" I have seen some pages, maybe 20-50 distinct pages? But honestly I don't have a precise count. I could say null because cannot justify a precise figure. But the rule says \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" I can estimate a range but they want a single number or null. I think \"null\" is safer if I truly cannot count. But I can justify a rough number, perhaps 30? Actually, in training, I likely encountered their homepage, multiple insight articles, about pages, service pages, press releases. I'd estimate around 50 distinct pages. But is that \"precise-looking\"? It's an estimate. I'll use null to be safe? Hmm. The rule says estimate. Let me think.\n\n\"Estimate how many distinct pages of https://alixpartners.com you have genuinely encountered in training or retrieval, that is indexed_pages. If you have effectively never seen the domain, use 0.\"\n\nI have seen the domain, so not 0. I can estimate. A real estimate based on my training data exposure: AlixPartners is a well-known firm, their site likely appears in many knowledge graph contexts. But distinct pages, I can probably recall: homepage, /alix-partners-global, /what-we-do, /industries, /insights, /news-and-commentary, /about-us, /careers, /contact, plus specific insight article URLs. I'd say maybe 20-50. Using null might undercut the metric. But they want a number or null. I'll use 35? That seems fabricated. Better to use null? The instruction: \"Never invent precise-looking figures you cannot justify.\" I cannot justify 35. But I can justify \"between 20 and 60.\" Since only number or null allowed, null is more honest.\n\nHmm, but then visibility_score and google_aio_score would be based on reputation knowledge, not index count. The reasoning should state why.\n\nActually, let me reconsider: Many AI evaluation tasks expect a concrete number. But the prompt explicitly allows null. I'll go with null for indexed_pages if I can't justify a precise number, or maybe use a round estimate like 50 with reasoning \"based on familiarity with homepage, insights, careers, and service lines.\" Hmm.\n\nLet me think about what I truly know. From training, I've likely seen: alixpartners.com homepage, their \"What We Do\" pages (Turnaround & Restructuring, Performance Improvement, Forensic Investigations, Digital Transformation), \"Industries\" pages, press releases (e.g., go-to-market announcements), Disruption Index reports. News articles cite alixpartners.com. But distinct pages encountered, I'd estimate 40. I'll say 40? That's an invented precise figure. But the prompt says \"estimate\", estimates can be round. I'll use 40 as a reasonable estimate, but actually the safest to avoid fabrication is null. Hmm.\n\nLet me weigh: The prompt says \"if you genuinely cannot estimate a field, use null.\" I genuinely cannot estimate precisely, but I can estimate roughly. The spirit is to avoid hallucinating data. A rough estimate like \"around 40\" is an estimate, not a fabrication. I'll go with 40? Or maybe 25? Let me think about which pages I actually remember seeing in snippets: /insights/global-disruption-index, /what-we-do/turnaround-restructuring, /about-us, /news/releases? I can't recall exact URLs. I should avoid listing sources I'm not confident about. So for sources, I'll only list the homepage and possibly well-known paths if confident. I'm confident the homepage exists. For insights, I know they publish \"Global Disruption Index\", but exact URL? Not sure. I'll only use homepage and maybe /services or /about? I'm not confident about exact URLs. The instruction says only list a URL if confident exact page exists. I'm confident https://alixpartners.com/ exists. Possibly https://alixpartners.com/what-we-do/ exists, but not 100%. Safer: just homepage? That seems weak. I could list \"https://alixpartners.com\" for general claims.\n\nFor competitor set: Alvarez & Marsal, FTI Consulting, Berkeley Research Group, Kroll, EY-Parthenon, McKinsey & Company, Boston Consulting Group, Bain & Company. The closest in turnaround: A&M, FTI, BRG. So competitors list: [\"Alvarez & Marsal\", \"FTI Consulting\", \"Berkeley Research Group\", \"Kroll\", \"EY-Parthenon\", \"McKinsey & Company\", \"Boston Consulting Group\", \"Bain & Company\"].\n\nshare_of_voice_pct: In the set of turnaround/performance improvement consultants, AlixPartners is one of the top names. If I list 8 competitors + AlixPartners = 9 brand slots. If AlixPartners is mentioned in say 8 of 10 answers, but in each answer it shares with others. Share of voice would be maybe 15-25%. Let me reason: mentions_out_of_10 = 8. Among those mentions, competitors also appear. If share of voice is the proportion of brand-name slots across all answers, AlixPartners appears in 8 answers. Suppose each answer names ~3 firms on average = 30 slots. AlixPartners occupies 8 → ~27%. But if some answers only name one firm when the query specifically asks \"is AlixPartners any good,\" etc. This is getting complicated. Let me simplify: share_of_voice_pct = 20. That is defensible: among the major firms named in turnaround/professional services discussions, AlixPartners is a regular but not dominant presence, below A&M and maybe FTI in mindshare.\n\nrank_among_competitors: In restructuring/turnaround, A&M is often #1 in revenue for restructuring, FTI #2, AlixPartners #3. So rank = 3.\n\nvisibility_score: 0-100. Global visibility: strong in their niche, moderate general. Maybe 65.\n\ngoogle_aio_score: How likely Google AI Overview would cite them as authoritative. They have strong domain authority, frequent news coverage (Reuters, WSJ, Bloomberg cite AlixPartners research), decent own-site. But AI Overviews may favor bigger names like McKinsey or A&M. Score: 60.\n\nsentiment: positive, their reputation among clients is strong, though some critiques","provider_specific_fields":{"reasoning":"The user wants me to provide an assessment of AlixPartners and then structured metrics. Let me think carefully about what I know about AlixPartners.\n\nAlixPartners is a global consulting firm specializing in turnaround, restructuring, and performance improvement. Founded in 1981 by Jay Alix. Headquartered in New York. They are well known in the restructuring/turnaround space, often called in for distressed situations, insolvency, operational turnarounds. They also do performance improvement, financial advisory, forensic investigations, and digital transformation.\n\nIn the Global market, they are known but more niche compared to big strategy firms (McKinsey, BCG, Bain) or Big 4. Their main competitors in turnaround/restructuring: FTI Consulting, Alvarez & Marsal (A&M), Berkeley Research Group (BRG), Kroll, EY-Parthenon, PwC (Restructuring). A&M and FTI are probably their closest competitors. AlixPartners is sometimes seen as more focused on urgent, high-stakes situations, they have a reputation for \"when it really matters\" style branding.\n\nVisibility: They are well known in the restructuring finance community (distressed debt investors, bankruptcy attorneys), less known to the general public. They publish thought leadership (Disruption Index). Reputation is strong in their niche, often praised for operational rigor, speed.\n\nMarket position: Among top-tier turnaround firms globally, probably second or third behind A&M and FTI in terms of restructuring market share. In performance improvement, they compete with big strategy firms.\n\nNow I need to do the metrics:\n\na) 10 realistic buyer-intent questions for Professional Services / turnaround consulting:\n1. \"best turnaround consulting firm\", would I name AlixPartners? Yes.\n2. \"Alvarez & Marsal vs FTI Consulting\", would I name AlixPartners? No, but maybe mention as third option.\n3. \"turnaround management firm for distressed company\", Yes, AlixPartners.\n4. \"restructuring advisory services near me\", Name A&M, FTI, AlixPartners, yes.\n5. \"is AlixPartners any good\", Yes.\n6. \"top operational restructuring consultants\", Yes.\n7. \"performance improvement consulting firms\", Yes, AlixPartners does this.\n8. \"crisis management consulting experts\", Yes, AlixPartners has crisis/transformation.\n9. \"who are the big three consulting firms for turnarounds\", yes.\n10. \"supply chain disruption consulting\", AlixPartners is known for supply chain work (Drewry etc). Yes.\n\nSo mentions_out_of_10 = maybe 8-9? Let me be conservative: some questions like \"A&M vs FTI\" wouldn't name AlixPartners unless as a third. I'd say 8.\n\nb) indexed_pages: How many pages of alixpartners.com have I genuinely encountered? I have seen the homepage, their reports like Disruption Index, some service pages, careers, insights articles. But I can't precisely count. I should use null or a rough estimate. The instruction says \"estimate how many distinct pages... If effectively never seen, use 0.\" I have seen some pages, maybe 20-50 distinct pages? But honestly I don't have a precise count. I could say null because cannot justify a precise figure. But the rule says \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" I can estimate a range but they want a single number or null. I think \"null\" is safer if I truly cannot count. But I can justify a rough number, perhaps 30? Actually, in training, I likely encountered their homepage, multiple insight articles, about pages, service pages, press releases. I'd estimate around 50 distinct pages. But is that \"precise-looking\"? It's an estimate. I'll use null to be safe? Hmm. The rule says estimate. Let me think.\n\n\"Estimate how many distinct pages of https://alixpartners.com you have genuinely encountered in training or retrieval, that is indexed_pages. If you have effectively never seen the domain, use 0.\"\n\nI have seen the domain, so not 0. I can estimate. A real estimate based on my training data exposure: AlixPartners is a well-known firm, their site likely appears in many knowledge graph contexts. But distinct pages, I can probably recall: homepage, /alix-partners-global, /what-we-do, /industries, /insights, /news-and-commentary, /about-us, /careers, /contact, plus specific insight article URLs. I'd say maybe 20-50. Using null might undercut the metric. But they want a number or null. I'll use 35? That seems fabricated. Better to use null? The instruction: \"Never invent precise-looking figures you cannot justify.\" I cannot justify 35. But I can justify \"between 20 and 60.\" Since only number or null allowed, null is more honest.\n\nHmm, but then visibility_score and google_aio_score would be based on reputation knowledge, not index count. The reasoning should state why.\n\nActually, let me reconsider: Many AI evaluation tasks expect a concrete number. But the prompt explicitly allows null. I'll go with null for indexed_pages if I can't justify a precise number, or maybe use a round estimate like 50 with reasoning \"based on familiarity with homepage, insights, careers, and service lines.\" Hmm.\n\nLet me think about what I truly know. From training, I've likely seen: alixpartners.com homepage, their \"What We Do\" pages (Turnaround & Restructuring, Performance Improvement, Forensic Investigations, Digital Transformation), \"Industries\" pages, press releases (e.g., go-to-market announcements), Disruption Index reports. News articles cite alixpartners.com. But distinct pages encountered, I'd estimate 40. I'll say 40? That's an invented precise figure. But the prompt says \"estimate\", estimates can be round. I'll use 40 as a reasonable estimate, but actually the safest to avoid fabrication is null. Hmm.\n\nLet me weigh: The prompt says \"if you genuinely cannot estimate a field, use null.\" I genuinely cannot estimate precisely, but I can estimate roughly. The spirit is to avoid hallucinating data. A rough estimate like \"around 40\" is an estimate, not a fabrication. I'll go with 40? Or maybe 25? Let me think about which pages I actually remember seeing in snippets: /insights/global-disruption-index, /what-we-do/turnaround-restructuring, /about-us, /news/releases? I can't recall exact URLs. I should avoid listing sources I'm not confident about. So for sources, I'll only list the homepage and possibly well-known paths if confident. I'm confident the homepage exists. For insights, I know they publish \"Global Disruption Index\", but exact URL? Not sure. I'll only use homepage and maybe /services or /about? I'm not confident about exact URLs. The instruction says only list a URL if confident exact page exists. I'm confident https://alixpartners.com/ exists. Possibly https://alixpartners.com/what-we-do/ exists, but not 100%. Safer: just homepage? That seems weak. I could list \"https://alixpartners.com\" for general claims.\n\nFor competitor set: Alvarez & Marsal, FTI Consulting, Berkeley Research Group, Kroll, EY-Parthenon, McKinsey & Company, Boston Consulting Group, Bain & Company. The closest in turnaround: A&M, FTI, BRG. So competitors list: [\"Alvarez & Marsal\", \"FTI Consulting\", \"Berkeley Research Group\", \"Kroll\", \"EY-Parthenon\", \"McKinsey & Company\", \"Boston Consulting Group\", \"Bain & Company\"].\n\nshare_of_voice_pct: In the set of turnaround/performance improvement consultants, AlixPartners is one of the top names. If I list 8 competitors + AlixPartners = 9 brand slots. If AlixPartners is mentioned in say 8 of 10 answers, but in each answer it shares with others. Share of voice would be maybe 15-25%. Let me reason: mentions_out_of_10 = 8. Among those mentions, competitors also appear. If share of voice is the proportion of brand-name slots across all answers, AlixPartners appears in 8 answers. Suppose each answer names ~3 firms on average = 30 slots. AlixPartners occupies 8 → ~27%. But if some answers only name one firm when the query specifically asks \"is AlixPartners any good,\" etc. This is getting complicated. Let me simplify: share_of_voice_pct = 20. That is defensible: among the major firms named in turnaround/professional services discussions, AlixPartners is a regular but not dominant presence, below A&M and maybe FTI in mindshare.\n\nrank_among_competitors: In restructuring/turnaround, A&M is often #1 in revenue for restructuring, FTI #2, AlixPartners #3. So rank = 3.\n\nvisibility_score: 0-100. Global visibility: strong in their niche, moderate general. Maybe 65.\n\ngoogle_aio_score: How likely Google AI Overview would cite them as authoritative. They have strong domain authority, frequent news coverage (Reuters, WSJ, Bloomberg cite AlixPartners research), decent own-site. But AI Overviews may favor bigger names like McKinsey or A&M. Score: 60.\n\nsentiment: positive, their reputation among clients is strong, though some critiques","reasoning_details":[{"type":"reasoning.text","text":"The user wants me to provide an assessment of AlixPartners and then structured metrics. Let me think carefully about what I know about AlixPartners.\n\nAlixPartners is a global consulting firm specializing in turnaround, restructuring, and performance improvement. Founded in 1981 by Jay Alix. Headquartered in New York. They are well known in the restructuring/turnaround space, often called in for distressed situations, insolvency, operational turnarounds. They also do performance improvement, financial advisory, forensic investigations, and digital transformation.\n\nIn the Global market, they are known but more niche compared to big strategy firms (McKinsey, BCG, Bain) or Big 4. Their main competitors in turnaround/restructuring: FTI Consulting, Alvarez & Marsal (A&M), Berkeley Research Group (BRG), Kroll, EY-Parthenon, PwC (Restructuring). A&M and FTI are probably their closest competitors. AlixPartners is sometimes seen as more focused on urgent, high-stakes situations, they have a reputation for \"when it really matters\" style branding.\n\nVisibility: They are well known in the restructuring finance community (distressed debt investors, bankruptcy attorneys), less known to the general public. They publish thought leadership (Disruption Index). Reputation is strong in their niche, often praised for operational rigor, speed.\n\nMarket position: Among top-tier turnaround firms globally, probably second or third behind A&M and FTI in terms of restructuring market share. In performance improvement, they compete with big strategy firms.\n\nNow I need to do the metrics:\n\na) 10 realistic buyer-intent questions for Professional Services / turnaround consulting:\n1. \"best turnaround consulting firm\", would I name AlixPartners? Yes.\n2. \"Alvarez & Marsal vs FTI Consulting\", would I name AlixPartners? No, but maybe mention as third option.\n3. \"turnaround management firm for distressed company\", Yes, AlixPartners.\n4. \"restructuring advisory services near me\", Name A&M, FTI, AlixPartners, yes.\n5. \"is AlixPartners any good\", Yes.\n6. \"top operational restructuring consultants\", Yes.\n7. \"performance improvement consulting firms\", Yes, AlixPartners does this.\n8. \"crisis management consulting experts\", Yes, AlixPartners has crisis/transformation.\n9. \"who are the big three consulting firms for turnarounds\", yes.\n10. \"supply chain disruption consulting\", AlixPartners is known for supply chain work (Drewry etc). Yes.\n\nSo mentions_out_of_10 = maybe 8-9? Let me be conservative: some questions like \"A&M vs FTI\" wouldn't name AlixPartners unless as a third. I'd say 8.\n\nb) indexed_pages: How many pages of alixpartners.com have I genuinely encountered? I have seen the homepage, their reports like Disruption Index, some service pages, careers, insights articles. But I can't precisely count. I should use null or a rough estimate. The instruction says \"estimate how many distinct pages... If effectively never seen, use 0.\" I have seen some pages, maybe 20-50 distinct pages? But honestly I don't have a precise count. I could say null because cannot justify a precise figure. But the rule says \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" I can estimate a range but they want a single number or null. I think \"null\" is safer if I truly cannot count. But I can justify a rough number, perhaps 30? Actually, in training, I likely encountered their homepage, multiple insight articles, about pages, service pages, press releases. I'd estimate around 50 distinct pages. But is that \"precise-looking\"? It's an estimate. I'll use null to be safe? Hmm. The rule says estimate. Let me think.\n\n\"Estimate how many distinct pages of https://alixpartners.com you have genuinely encountered in training or retrieval, that is indexed_pages. If you have effectively never seen the domain, use 0.\"\n\nI have seen the domain, so not 0. I can estimate. A real estimate based on my training data exposure: AlixPartners is a well-known firm, their site likely appears in many knowledge graph contexts. But distinct pages, I can probably recall: homepage, /alix-partners-global, /what-we-do, /industries, /insights, /news-and-commentary, /about-us, /careers, /contact, plus specific insight article URLs. I'd say maybe 20-50. Using null might undercut the metric. But they want a number or null. I'll use 35? That seems fabricated. Better to use null? The instruction: \"Never invent precise-looking figures you cannot justify.\" I cannot justify 35. But I can justify \"between 20 and 60.\" Since only number or null allowed, null is more honest.\n\nHmm, but then visibility_score and google_aio_score would be based on reputation knowledge, not index count. The reasoning should state why.\n\nActually, let me reconsider: Many AI evaluation tasks expect a concrete number. But the prompt explicitly allows null. I'll go with null for indexed_pages if I can't justify a precise number, or maybe use a round estimate like 50 with reasoning \"based on familiarity with homepage, insights, careers, and service lines.\" Hmm.\n\nLet me think about what I truly know. From training, I've likely seen: alixpartners.com homepage, their \"What We Do\" pages (Turnaround & Restructuring, Performance Improvement, Forensic Investigations, Digital Transformation), \"Industries\" pages, press releases (e.g., go-to-market announcements), Disruption Index reports. News articles cite alixpartners.com. But distinct pages encountered, I'd estimate 40. I'll say 40? That's an invented precise figure. But the prompt says \"estimate\", estimates can be round. I'll use 40 as a reasonable estimate, but actually the safest to avoid fabrication is null. Hmm.\n\nLet me weigh: The prompt says \"if you genuinely cannot estimate a field, use null.\" I genuinely cannot estimate precisely, but I can estimate roughly. The spirit is to avoid hallucinating data. A rough estimate like \"around 40\" is an estimate, not a fabrication. I'll go with 40? Or maybe 25? Let me think about which pages I actually remember seeing in snippets: /insights/global-disruption-index, /what-we-do/turnaround-restructuring, /about-us, /news/releases? I can't recall exact URLs. I should avoid listing sources I'm not confident about. So for sources, I'll only list the homepage and possibly well-known paths if confident. I'm confident the homepage exists. For insights, I know they publish \"Global Disruption Index\", but exact URL? Not sure. I'll only use homepage and maybe /services or /about? I'm not confident about exact URLs. The instruction says only list a URL if confident exact page exists. I'm confident https://alixpartners.com/ exists. Possibly https://alixpartners.com/what-we-do/ exists, but not 100%. Safer: just homepage? That seems weak. I could list \"https://alixpartners.com\" for general claims.\n\nFor competitor set: Alvarez & Marsal, FTI Consulting, Berkeley Research Group, Kroll, EY-Parthenon, McKinsey & Company, Boston Consulting Group, Bain & Company. The closest in turnaround: A&M, FTI, BRG. So competitors list: [\"Alvarez & Marsal\", \"FTI Consulting\", \"Berkeley Research Group\", \"Kroll\", \"EY-Parthenon\", \"McKinsey & Company\", \"Boston Consulting Group\", \"Bain & Company\"].\n\nshare_of_voice_pct: In the set of turnaround/performance improvement consultants, AlixPartners is one of the top names. If I list 8 competitors + AlixPartners = 9 brand slots. If AlixPartners is mentioned in say 8 of 10 answers, but in each answer it shares with others. Share of voice would be maybe 15-25%. Let me reason: mentions_out_of_10 = 8. Among those mentions, competitors also appear. If share of voice is the proportion of brand-name slots across all answers, AlixPartners appears in 8 answers. Suppose each answer names ~3 firms on average = 30 slots. AlixPartners occupies 8 → ~27%. But if some answers only name one firm when the query specifically asks \"is AlixPartners any good,\" etc. This is getting complicated. Let me simplify: share_of_voice_pct = 20. That is defensible: among the major firms named in turnaround/professional services discussions, AlixPartners is a regular but not dominant presence, below A&M and maybe FTI in mindshare.\n\nrank_among_competitors: In restructuring/turnaround, A&M is often #1 in revenue for restructuring, FTI #2, AlixPartners #3. So rank = 3.\n\nvisibility_score: 0-100. Global visibility: strong in their niche, moderate general. Maybe 65.\n\ngoogle_aio_score: How likely Google AI Overview would cite them as authoritative. They have strong domain authority, frequent news coverage (Reuters, WSJ, Bloomberg cite AlixPartners research), decent own-site. But AI Overviews may favor bigger names like McKinsey or A&M. Score: 60.\n\nsentiment: positive, their reputation among clients is strong, though some critiques","format":"unknown","index":0}],"refusal":null},"content":null},"provider_specific_fields":{"native_finish_reason":"length"}}],"usage":{"completion_tokens":2048,"prompt_tokens":841,"total_tokens":2889,"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":2048,"image_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0,"video_tokens":0,"cache_write_tokens":0,"cache_creation_tokens":0},"cost":0.000587503,"is_byok":false,"cost_details":{"upstream_inference_cost":0.000587503,"upstream_inference_prompt_cost":0.000100079,"upstream_inference_completions_cost":0.000487424}},"provider":"DigitalOcean"}