{"type":"post","id":"llm-deployment-strategy-and-automation-economics-analysis-b1ac42","slug":"llm-deployment-strategy-and-automation-economics-analysis-b1ac42","title":"Llm deployment strategy and automation economics","description":"T-Search frames long-horizon retrieval as a memory-selection problem rather than simply a larger-context or stronger-model problem.","retrieval_nugget":"T-Search frames long-horizon retrieval as a memory-selection problem rather than simply a larger-context or stronger-model problem.","published_at":"2026-09-28","updated_at":"2026-09-28","record_date":"2026-09-28","date_kind":"published_at","topics":[],"source_urls":["https://habr.com/ru/companies/tbank/articles/1060262"],"schema_version":"newruntime-agent-readable-v0.2","stable_id":"post:llm-deployment-strategy-and-automation-economics-analysis-b1ac42","status":"published","visuals":[],"editorial_provenance":{"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:ef5269bb9d01c8118c8d91506d413b2d6cd356e84cc932ee7361833cc46127a2","reviewed_at":"2026-09-28T10:03:54.507Z","source_evidence_count":1,"verified_claim_count":4,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":4,"implication_count":2,"watch_condition_count":2,"related_record_count":0},"analysis":{"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"T-Search frames long-horizon retrieval as a memory-selection problem rather than simply a larger-context or stronger-model problem.","observed_facts":[{"text":"The source describes T-Search as an open agent-retriever built on Qwen3.6-35B-A3B and trained entirely on synthetic data.","source_urls":["https://habr.com/ru/companies/tbank/articles/1060262"]},{"text":"The source says T-Search returns ranked evidence chunks with rationales rather than a final answer.","source_urls":["https://habr.com/ru/companies/tbank/articles/1060262"]},{"text":"The release includes TRuST, a manually assembled Russian benchmark for complex agentic search, and SynthComp in Russian and English.","source_urls":["https://habr.com/ru/companies/tbank/articles/1060262"]},{"text":"The harness uses roughly 32,000-token rounds and blocks search once a round reaches 75% context use.","source_urls":["https://habr.com/ru/companies/tbank/articles/1060262"]}],"mechanism":"The mechanism is explicit evidence preservation across bounded contexts, combined with constraints that discourage empty resets and premature completion.","why_now":"The immediate relevance is that teams building retrieval systems are confronting context noise as a systems-design issue, not only a model-selection issue.","implications":["For product teams, the implication is that retrieval architecture may need separate evaluation from answer-generation quality.","Decoupling retrieval from final-answer generation can allow product-specific generation policies without retraining the retriever."],"evidence_boundary":"The source is a vendor-authored technical account and does not independently establish comparative production performance, cost, or generalization beyond its reported setup.","watch_conditions":["Watch whether the released model, code, and benchmarks enable independent replications that compare this memory strategy against summarization, full resets, and larger-context baselines.","Watch whether benchmark outcomes hold on production corpora with changing indexes and real latency constraints."],"related_records":[],"new_branch_reason":"No prior New Runtime record with usable substantive detail was supplied; this release warrants a distinct record because it introduces a specific retriever, harness design, and accompanying benchmarks."},"editor":{"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]},"routes":{"html":"https://newruntime.com/posts/llm-deployment-strategy-and-automation-economics-analysis-b1ac42/","markdown":"https://newruntime.com/posts/llm-deployment-strategy-and-automation-economics-analysis-b1ac42.md","json":"https://newruntime.com/posts/llm-deployment-strategy-and-automation-economics-analysis-b1ac42.json"},"next_reads":[{"type":"collection","path":"/posts/","url":"https://newruntime.com/posts/","title":"Field Notes","reason":"Open the latest editorial analysis.","media_type":"text/html","json_url":"https://newruntime.com/posts.json"},{"type":"collection","path":"/source-ledger.json","url":"https://newruntime.com/source-ledger.json","title":"Source Ledger","reason":"Inspect the public source evidence graph.","media_type":"application/json"}]}