[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-fc3078f3c2ba5ebb-inspect-framework-for-robust-llm-evaluations-summary":3,"summaries-facets-categories":171,"summary-related-fc3078f3c2ba5ebb-inspect-framework-for-robust-llm-evaluations-summary":3741},{"id":4,"title":5,"ai":6,"body":13,"categories":130,"created_at":131,"date_modified":131,"description":124,"extension":132,"faq":131,"featured":133,"kicker_label":131,"meta":134,"navigation":153,"path":154,"published_at":131,"question":131,"scraped_at":155,"seo":156,"sitemap":157,"source_id":158,"source_name":159,"source_type":160,"source_url":161,"stem":162,"tags":163,"thumbnail_url":131,"tldr":168,"tweet":131,"unknown_tags":169,"__hash__":170},"summaries\u002Fsummaries\u002Ffc3078f3c2ba5ebb-inspect-framework-for-robust-llm-evaluations-summary.md","Inspect: Framework for Robust LLM Evaluations",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",6393,1745,10308,0.00212845,{"type":14,"value":15,"toc":123},"minimark",[16,21,42,65,68,72,87,94,98,117,120],[17,18,20],"h2",{"id":19},"construct-evaluations-using-modular-tasks","Construct Evaluations Using Modular Tasks",[22,23,24,25,29,30,33,34,37,38,41],"p",{},"Define evaluations as ",[26,27,28],"code",{},"@task","-decorated functions returning a ",[26,31,32],{},"Task"," with three components: datasets, solvers, and scorers. Datasets are tables with ",[26,35,36],{},"input"," prompts and ",[26,39,40],{},"target"," answers or grading guidance—e.g., for the Sally-Anne false belief test, inputs describe object movements like \"Jackson entered the hall... Chloe moved the boots to the pantry,\" targeting \"bathtub\" or \"pantry.\" This setup tests theory-of-mind reasoning.",[22,43,44,45,48,49,52,53,56,57,60,61,64],{},"Chain solvers to process inputs: ",[26,46,47],{},"chain_of_thought()"," elicits step-by-step reasoning, ",[26,50,51],{},"generate()"," calls the model, and ",[26,54,55],{},"self_critique()"," refines outputs. Scorers like ",[26,58,59],{},"model_graded_fact()"," use another model to grade factual accuracy against targets, producing aggregate metrics. Reuse tasks across models by overriding via ",[26,62,63],{},"task_with()"," or CLI flags, enabling flexible runtime configuration without code changes.",[22,66,67],{},"This modularity scales from simple prompts to agentic workflows: adapt datasets from CSV\u002FJSON sources, include multimodal data (images\u002Faudio\u002Fvideo), and handle long contexts with compaction to fit model windows.",[17,69,71],{"id":70},"execute-evals-seamlessly-across-providers","Execute Evals Seamlessly Across Providers",[22,73,74,75,78,79,82,83,86],{},"Install via ",[26,76,77],{},"pip install inspect-ai",", set API keys (e.g., ",[26,80,81],{},"OPENAI_API_KEY","), then run ",[26,84,85],{},"inspect eval script.py --model openai\u002Fgpt-4o",". Supports 20+ providers out-of-box: OpenAI (gpt-4o), Anthropic (claude-sonnet-4-0), Google (gemini-2.5-pro), xAI (grok-3-mini), Mistral, Hugging Face (Llama-2-7b), plus AWS Bedrock, Azure, TogetherAI, Groq, vLLM, Ollama. Use batch mode for cost savings, caching to skip repeat calls, and limits on tokens\u002Ftime\u002Fcost to control spend.",[22,88,89,90,93],{},"From Python: ",[26,91,92],{},"eval(task(), model=\"openai\u002Fgpt-4o\")",". Parallelism tunes async workers to respect rate limits, yielding high throughput on local or cloud setups. Errors auto-retry; early stopping halts on convergence.",[17,95,97],{"id":96},"debug-and-scale-with-logs-tools-and-agents","Debug and Scale with Logs, Tools, and Agents",[22,99,100,101,104,105,108,109,112,113,116],{},"Logs save to ",[26,102,103],{},".\u002Flogs\u002F"," with sample traces, messages, events; ",[26,106,107],{},"inspect view"," launches a browser viewer for metrics, per-sample inspection, and filtering. VS Code extension integrates running, tuning, and visualization. Extract dataframes for analysis: ",[26,110,111],{},"read_eval_df(log_path)"," pulls scores, ",[26,114,115],{},"read_sample_df()"," gets inputs\u002Foutputs.",[22,118,119],{},"For agents, use built-in ReAct for planning\u002Ftool-use\u002Fmemory on long-horizon tasks; compose multi-agents or bridge LangChain\u002FOpenAI SDKs. Tools extend models: register Python functions for code execution (sandboxed), web search\u002Fbrowsing, text editing. Standard tools handle computer use; MCP integrates external providers. Approval policies gate risky calls.",[22,121,122],{},"Advanced: eval sets run benchmark suites; tracing diagnoses issues; extensions add providers\u002Ftools. Pre-built evals cover ARC, popular papers via Inspect Evals repo.",{"title":124,"searchDepth":125,"depth":125,"links":126},"",2,[127,128,129],{"id":19,"depth":125,"text":20},{"id":70,"depth":125,"text":71},{"id":96,"depth":125,"text":97},[],null,"md",false,{"content_references":135,"triage":148},[136,141,145],{"type":137,"title":138,"url":139,"context":140},"tool","Inspect Evals","https:\u002F\u002Fukgovernmentbeis.github.io\u002Finspect_evals\u002F","mentioned",{"type":142,"title":143,"url":144,"context":140},"other","Sally–Anne test","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FSally–Anne_test",{"type":142,"title":146,"url":147,"context":140},"Model Context Protocol","https:\u002F\u002Fmodelcontextprotocol.io\u002Fintroduction",{"relevance":149,"novelty":150,"quality":150,"actionability":149,"composite":151,"reasoning":152},5,4,4.55,"Category: AI & LLMs. The article provides a detailed framework for building evaluations for LLMs, addressing practical applications that developers can implement directly in their projects. It includes specific examples of how to define evaluations and execute them across multiple providers, making it highly actionable for the target audience.",true,"\u002Fsummaries\u002Ffc3078f3c2ba5ebb-inspect-framework-for-robust-llm-evaluations-summary","2026-04-15 15:30:25",{"title":5,"description":124},{"loc":154},"fc3078f3c2ba5ebb","__oneoff__","article","https:\u002F\u002Finspect.aisi.org.uk\u002F","summaries\u002Ffc3078f3c2ba5ebb-inspect-framework-for-robust-llm-evaluations-summary",[164,165,166,167],"llm","agents","python","ai-tools","Build LLM evals with datasets of input\u002Ftarget pairs, chain solvers like chain-of-thought and self-critique, score via model grading, and run across 20+ providers from CLI or 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Persistent Memory for Multi-User LLM Agents",{"provider":7,"model":8,"input_tokens":3746,"output_tokens":3747,"processing_time_ms":3748,"cost_usd":3749},8671,1734,17086,0.0025787,{"type":14,"value":3751,"toc":3872},[3752,3756,3794,3798,3825,3829],[17,3753,3755],{"id":3754},"seamless-client-integration-for-automatic-memory","Seamless Client Integration for Automatic Memory",[22,3757,3758,3759,3762,3763,3766,3767,3770,3771,3774,3775,3777,3778,3781,3782,3785,3786,3789,3790,3793],{},"Register synchronous and asynchronous OpenAI clients with Memori using ",[26,3760,3761],{},"mem.llm.register(client)"," and ",[26,3764,3765],{},"mem.llm.register(async_client)",". This intercepts all ",[26,3768,3769],{},"chat.completions.create"," calls to inject relevant memories as context, eliminating manual retrieval logic. Setup in Colab: ",[26,3772,3773],{},"pip install memori>=3.3.0 openai>=1.40.0 nest_asyncio",", set ",[26,3776,81],{}," (required) and optional ",[26,3779,3780],{},"MEMORI_API_KEY"," for non-rate-limited access. Use ",[26,3783,3784],{},"gpt-4o-mini"," as the model and a 6-second ",[26,3787,3788],{},"WRITE_DELAY"," after each call to ensure memory persistence. Result: Every LLM interaction becomes stateful, recalling facts like \"Alice loves hiking, Italian food, allergic to peanuts\" across turns via simple ",[26,3791,3792],{},"mem.attribution(entity_id=\"[email protected]\", process_id=\"personal-assistant\")"," before prompting.",[17,3795,3797],{"id":3796},"multi-tenant-isolation-via-entity-process-and-session-scoping","Multi-Tenant Isolation via Entity, Process, and Session Scoping",[22,3799,3800,3801,3804,3805,3808,3809,3812,3813,3816,3817,3820,3821,3824],{},"Scope memories hierarchically: ",[26,3802,3803],{},"entity_id"," (e.g., user email) isolates users—Bob's \"vegetarian, Rust developer, Berlin\" doesn't leak to Alice. ",[26,3806,3807],{},"process_id"," separates agent roles for one user: Alice's \"sub-25-minute 5K goal\" stays with ",[26,3810,3811],{},"fitness-coach",", while \"low-carb dinners\" is siloed to ",[26,3814,3815],{},"meal-planner",". Sessions group turns: ",[26,3818,3819],{},"mem.set_session(\"project-fastapi-abc123\")"," captures \"FastAPI app 'Lighthouse', Python 3.12, Fly.io, SQLAlchemy + Alembic\", excluding unrelated \"puppy named Mochi\" from ",[26,3822,3823],{},"mem.new_session()",". Recall by re-attributing and setting session: Agent summarizes project decisions accurately. Trade-off: Rate-limited tier suffices for demos; paid key needed for production scale.",[17,3826,3828],{"id":3827},"production-ready-features-streaming-async-and-workflows","Production-Ready Features: Streaming, Async, and Workflows",[22,3830,3831,3832,3835,3836,3839,3840,3843,3844,3847,3848,3851,3852,3854,3855,3859,3860,3866,3867,3871],{},"Streaming works out-of-box: ",[26,3833,3834],{},"stream=True"," on ",[26,3837,3838],{},"client.chat.completions.create"," pulls Alice's facts incrementally without breaking memory flow. Async calls via ",[26,3841,3842],{},"AsyncOpenAI"," recall restrictions like peanut allergy seamlessly: ",[26,3845,3846],{},"await async_client.chat.completions.create(...)",". Build multi-session agents like support bots: ",[26,3849,3850],{},"mem.attribution(entity_id=\"[email protected]\", process_id=\"support-bot\")","; new ",[26,3853,3823],{}," per turn still remembers \"Pro plan, ",[3856,3857,3858],"span",{},"email protected","\" across interactions. System prompt: \"You are a calm, helpful customer support agent. Use what you remember about the user.\" Inspect memories at ",[3861,3862,3863],"a",{"href":3863,"rel":3864},"https:\u002F\u002Fapp.memorilabs.ai",[3865],"nofollow"," or use BYODB for Postgres. Full notebook: ",[3861,3868,3869],{"href":3869,"rel":3870},"https:\u002F\u002Fgithub.com\u002FMarktechpost\u002FAI-Agents-Projects-Tutorials\u002Fblob\u002Fmain\u002FAgentic%20AI%20Memory\u002Fmemori_agent_native_memory_infrastructure_tutorial_Marktechpost.ipynb",[3865],". This scales to personalized assistants, multi-agent systems, and customer support retaining context long-term.",{"title":124,"searchDepth":125,"depth":125,"links":3873},[3874,3875,3876],{"id":3754,"depth":125,"text":3755},{"id":3796,"depth":125,"text":3797},{"id":3827,"depth":125,"text":3828},[],{"content_references":3879,"triage":3888},[3880,3884,3886],{"type":137,"title":3881,"url":3882,"context":3883},"Memori","https:\u002F\u002Fgithub.com\u002FMemoriLabs\u002FMemori","recommended",{"type":137,"title":3885,"url":3863,"context":140},"Memori Dashboard",{"type":142,"title":3887,"url":3869,"context":140},"Full Codes with Notebook",{"relevance":149,"novelty":150,"quality":150,"actionability":149,"composite":151,"reasoning":3889},"Category: AI & LLMs. The article provides a detailed implementation guide for integrating persistent memory in multi-user LLM applications, addressing a specific pain point of managing context across interactions. It includes actionable code snippets and setup instructions that developers can directly apply to their projects.","\u002Fsummaries\u002Fa690c3914c9d11ae-memori-persistent-memory-for-multi-user-llm-agents-summary","2026-05-11 07:34:38","2026-05-11 15:04:13",{"title":3744,"description":124},{"loc":3890},"a690c3914c9d11ae","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F11\u002Fa-coding-implementation-to-build-agent-native-memory-infrastructure-with-memori-for-persistent-multi-user-and-multi-session-llm-applications\u002F","summaries\u002Fa690c3914c9d11ae-memori-persistent-memory-for-multi-user-llm-agents-summary",[164,165,167,166],"Register OpenAI clients with Memori to automatically store\u002Fretrieve scoped memories by user entity, agent process, and session, enabling context-aware agents across turns, users, and interactions without manual prompt management.",[],"IOxDEqszxB6CWccOlNI-E5tVk_XdhVTT78_E4jNp8d8",{"id":3904,"title":3905,"ai":3906,"body":3911,"categories":4014,"created_at":131,"date_modified":131,"description":124,"extension":132,"faq":131,"featured":133,"kicker_label":131,"meta":4015,"navigation":153,"path":4024,"published_at":4025,"question":131,"scraped_at":4026,"seo":4027,"sitemap":4028,"source_id":4029,"source_name":3896,"source_type":160,"source_url":4030,"stem":4031,"tags":4032,"thumbnail_url":131,"tldr":4033,"tweet":131,"unknown_tags":4034,"__hash__":4035},"summaries\u002Fsummaries\u002F3def0bb92586e5f5-groq-powered-research-agent-with-langgraph-sub-age-summary.md","Groq-Powered Research Agent with LangGraph Sub-Agents",{"provider":7,"model":8,"input_tokens":3907,"output_tokens":3908,"processing_time_ms":3909,"cost_usd":3910},9460,2034,22865,0.00240215,{"type":14,"value":3912,"toc":4009},[3913,3917,3933,3940,3943,3947,3950,3982,3993,3997,4000,4003,4006],[17,3914,3916],{"id":3915},"langgraph-workflow-powers-reliable-agent-loops","LangGraph Workflow Powers Reliable Agent Loops",[22,3918,3919,3920,3924,3925,3932],{},"Connect Groq's OpenAI-compatible endpoint (base_url=\"",[3861,3921,3922],{"href":3922,"rel":3923},"https:\u002F\u002Fapi.groq.com\u002Fopenai\u002Fv1",[3865],"\") to ChatOpenAI with model=\"llama-3.3-70b-versatile\" and temperature=0.3, binding all tools for tool-calling. Use StateGraph with AgentState (messages: Annotated",[3856,3926,3927,3928,3931],{},"Sequence",[3856,3929,3930],{},"BaseMessage",", add_messages",") to alternate agent reasoning and ToolNode execution: entry at \"agent\", conditional edge from \"agent\" (tools if tool_calls else END), edge \"tools\"→\"agent\". Set recursion_limit=50 (2x max_steps=25) in .stream() to prevent infinite loops. This setup handles multi-turn reasoning without state explosion, as sub-agents run isolated.",[22,3934,3935,3936,3939],{},"Lead system prompt enforces: list_skills\u002Fload_skill for complex tasks; spawn_subagent for subtasks; persist to workspace\u002Foutputs\u002F; remember() for cross-run facts. Run function streams updates, logging tool calls (e.g., ",[3856,3937,3938],{},"01"," 🔧 web_search({query})), agent responses, and tool outputs, then dumps sandbox file_list(), recall(), and outputs\u002F files—reveals ~400-word reports with exec summary, findings, analysis, sources.",[22,3941,3942],{},"Trade-off: Groq's speed (free tier) trades slight quality for llama-3.3 vs. GPT-4o, but tool-binding + low temp=0.2\u002F0.3 ensures structured outputs without hallucinations.",[17,3944,3946],{"id":3945},"sandboxed-tools-enable-safe-webfilecode-access","Sandboxed Tools Enable Safe Web\u002FFile\u002FCode Access",[22,3948,3949],{},"Restrict to SANDBOX=\u002Fcontent\u002Fdeerflow_sandbox with _safe() path validation to prevent escapes. Core tools:",[3951,3952,3953,3961,3967,3973],"ul",{},[3954,3955,3956,3960],"li",{},[3957,3958,3959],"strong",{},"Search\u002FFetch",": web_search(query, max_results=5) via DDGS returns title\u002FURL\u002Fsnippet; web_fetch(url, max_chars=4000) strips scripts\u002Fnav with BeautifulSoup, cleans whitespace.",[3954,3962,3963,3966],{},[3957,3964,3965],{},"Files",": file_write\u002Fread\u002Flist(path) limits read to 8KB, lists 60 rglob items (skip memory\u002F), mkdirs parents.",[3954,3968,3969,3972],{},[3957,3970,3971],{},"Code",": python_exec(code) in isolated globals (SANDBOX_ROOT preset), captures stdout\u002Fstderr to 4KB, artifacts to outputs\u002F—plan in English first, verify results.",[3954,3974,3975,3978,3979,3981],{},[3957,3976,3977],{},"Memory",": remember(fact) appends timestamped JSON to memory\u002Flong_term.json (facts",[3856,3980],{},", preferences{}); recall() shows last 20.",[22,3983,3984,3985,3988,3989,3992],{},"These give controlled REPL-like access: agent computes charts, cross-refs sources (claim→evidence→URL), without sys\u002Fnetwork risks. Bind BASE_TOOLS=",[3856,3986,3987],{},"list_skills,load_skill,..."," + ",[3856,3990,3991],{},"spawn_subagent"," to llm.",[17,3994,3996],{"id":3995},"skills-and-sub-agents-modularize-complex-research","Skills and Sub-Agents Modularize Complex Research",[22,3998,3999],{},"Pre-register SKILL.md files (public\u002Fcustom\u002F): research (decompose to 3-5 sub-questions, 2 authoritative URLs each, cross-ref, append workspace\u002Fresearch_notes.md); report-generation (read notes, outline exec summary (3-5 sentences)\u002Ffindings\u002Fanalysis\u002Fconclusion\u002Fsources, write outputs\u002Freport.md); code-execution (plan→exec→verify).",[22,4001,4002],{},"Agent calls list_skills()→load_skill(name) to discover\u002Fexecute workflows. spawn_subagent(role,task,allowed_tools=\"web_search,web_fetch,file_write,file_read\") creates isolated ChatOpenAI(temp=0.2, bind sub_tools), sys prompt mandates 'FINAL REPORT:' ≤700-word summary. Loops 8 steps max, returns report—keeps lead agent lean for coordination.",[22,4004,4005],{},"Demo task: (1) discover skills; (2) sub-agent researches 3 SLMs (2024-2025 sizes\u002Fbenchmarks\u002Fuse-cases)→workspace\u002Fslm_research.md; (3) load report-generation→outputs\u002Fslm_briefing.md; (4) remember(key takeaway); (5) summarize. Persists across runs via JSON memory, outputs structured MD with numbered sources—scales to briefings\u002Fautomation.",[22,4007,4008],{},"Extend by adding skills (e.g., data viz), scoping sub-agent tools, or integrating uploads\u002F.",{"title":124,"searchDepth":125,"depth":125,"links":4010},[4011,4012,4013],{"id":3915,"depth":125,"text":3916},{"id":3945,"depth":125,"text":3946},{"id":3995,"depth":125,"text":3996},[180],{"content_references":4016,"triage":4022},[4017,4020],{"type":137,"title":4018,"url":4019,"context":140},"Groq","https:\u002F\u002Fconsole.groq.com\u002Fhome",{"type":142,"title":3887,"url":4021,"context":3883},"https:\u002F\u002Fgithub.com\u002FMarktechpost\u002FAI-Agents-Projects-Tutorials\u002Fblob\u002Fmain\u002FAgentic%20AI%20Codes\u002Fgroq_agentic_research_assistant_langgraph_Marktechpost.ipynb",{"relevance":149,"novelty":150,"quality":150,"actionability":149,"composite":151,"reasoning":4023},"Category: AI & LLMs. The article provides a detailed guide on building a research assistant using Groq's API and LangGraph, addressing practical applications for AI-powered product builders. It includes specific instructions on connecting tools and managing agent workflows, making it highly actionable.","\u002Fsummaries\u002F3def0bb92586e5f5-groq-powered-research-agent-with-langgraph-sub-age-summary","2026-05-06 23:00:03","2026-05-07 11:24:14",{"title":3905,"description":124},{"loc":4024},"3def0bb92586e5f5","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F06\u002Fa-groq-powered-agentic-research-assistant-with-langgraph-tool-calling-sub-agents-and-agentic-memory-lets-built-it\u002F","summaries\u002F3def0bb92586e5f5-groq-powered-research-agent-with-langgraph-sub-age-summary",[165,166,164,167],"Build a fast agentic research assistant using Groq's free Llama-3.3-70b API, LangGraph for loops, sandboxed tools for search\u002Ffiles\u002Fcode\u002Fmemory, modular skills, and sub-agents for delegation—demo researches SLMs and persists facts.",[],"PNBtlQQT9-IzTdNGXbcfgyV0nmPIjKbJkC_MULZshU8",{"id":4037,"title":4038,"ai":4039,"body":4044,"categories":4081,"created_at":131,"date_modified":131,"description":124,"extension":132,"faq":131,"featured":133,"kicker_label":131,"meta":4082,"navigation":153,"path":4095,"published_at":4096,"question":131,"scraped_at":4097,"seo":4098,"sitemap":4099,"source_id":4100,"source_name":4101,"source_type":160,"source_url":4102,"stem":4103,"tags":4104,"thumbnail_url":131,"tldr":4105,"tweet":131,"unknown_tags":4106,"__hash__":4107},"summaries\u002Fsummaries\u002F3ac2f26e456f1db9-local-ai-agent-stack-ollama-as-llm-mcp-as-librarie-summary.md","Local AI Agent Stack: Ollama as LLM, MCP as Libraries",{"provider":7,"model":8,"input_tokens":4040,"output_tokens":4041,"processing_time_ms":4042,"cost_usd":4043},3907,2286,26814,0.00190175,{"type":14,"value":4045,"toc":4076},[4046,4050,4053,4056,4060,4063,4066,4070,4073],[17,4047,4049],{"id":4048},"agentic-systems-as-programmable-stacks","Agentic Systems as Programmable Stacks",[22,4051,4052],{},"Map traditional programming to LLM agents: the LLM (via Ollama) acts as the language runtime, MCP servers function as swappable libraries for capabilities, and Markdown-defined skills serve as the executable programs. This analogy makes every layer visible and replaceable, enabling full control without vendor lock-in. Run the entire stack on a single laptop using no cloud LLMs or paid services, wired together by a minimal Python orchestrator and one JSON config file.",[22,4054,4055],{},"Ollama provides the local LLM runtime for reasoning and decision-making. MCP servers deliver modular tools (like data access or APIs) that the LLM calls into, mimicking library imports. Skills, written in Markdown, define specific agent behaviors as self-contained programs the LLM interprets and executes.",[17,4057,4059],{"id":4058},"wiring-and-execution-flow","Wiring and Execution Flow",[22,4061,4062],{},"The Python orchestrator handles coordination: it loads the JSON config to initialize Ollama, MCP servers, and skills, then routes LLM outputs to invoke the right MCP libraries or skills. This setup supports iterative reasoning loops where the LLM decides tool use, executes via MCP\u002Fskills, and refines based on results—all locally.",[22,4064,4065],{},"Trade-off: Local execution prioritizes privacy and cost-zero runs but limits to hardware-constrained models; scale by swapping Ollama models or adding MCPs without rewriting core logic.",[17,4067,4069],{"id":4068},"production-ready-ops-example","Production-Ready Ops Example",[22,4071,4072],{},"Query: \"The on-call engineer is in country X. Is today a public holiday there, and if so, which of their open P1 issues need backup coverage?\"",[22,4074,4075],{},"The agent combines local data sources (via MCPs) like holiday calendars, engineer locations, and issue trackers. LLM reasons over inputs, calls MCP libraries for data retrieval, applies Markdown skills for analysis (e.g., filtering P1 issues), and outputs actionable coverage recommendations. This handles real on-call shifts, demonstrating agentic reliability for ops without external dependencies.",{"title":124,"searchDepth":125,"depth":125,"links":4077},[4078,4079,4080],{"id":4048,"depth":125,"text":4049},{"id":4058,"depth":125,"text":4059},{"id":4068,"depth":125,"text":4069},[180],{"content_references":4083,"triage":4093},[4084,4089,4091],{"type":142,"title":4085,"author":4086,"url":4087,"context":4088},"The hidden analogy between programming languages and LLMs that will change how you build agentic","Jes Fink-Jensen","https:\u002F\u002Fmedium.com\u002Fgenerative-ai\u002Fthe-hidden-analogy-between-programming-languages-and-llms-that-will-change-how-you-build-agentic-a344fa26dc09","cited",{"type":137,"title":4090,"context":140},"Ollama",{"type":137,"title":4092,"context":140},"MCP",{"relevance":149,"novelty":150,"quality":150,"actionability":149,"composite":151,"reasoning":4094},"Category: AI & LLMs. The article provides a detailed framework for building a local AI agent system using Ollama and MCP, addressing practical applications for developers looking to integrate AI into their products. It includes a concrete example of a production-ready operation, demonstrating actionable insights that the audience can implement.","\u002Fsummaries\u002F3ac2f26e456f1db9-local-ai-agent-stack-ollama-as-llm-mcp-as-librarie-summary","2026-05-05 05:58:24","2026-05-05 16:09:21",{"title":4038,"description":124},{"loc":4095},"3ac2f26e456f1db9","Generative AI","https:\u002F\u002Fgenerativeai.pub\u002Frun-your-own-ai-agent-locally-ollama-mcp-and-skills-explained-a913fe46e938?source=rss----440100e76000---4","summaries\u002F3ac2f26e456f1db9-local-ai-agent-stack-ollama-as-llm-mcp-as-librarie-summary",[164,165,166,167],"Build a fully local agentic system treating LLMs as programming languages, MCP servers as libraries, and Markdown skills as programs—orchestrated via Python and JSON config for offline ops queries.",[],"MALfjYcgtxuDDN7BLSlSojXvLLeQbY1yAr47GHXtRUE",{"id":4109,"title":4110,"ai":4111,"body":4116,"categories":4161,"created_at":131,"date_modified":131,"description":124,"extension":132,"faq":131,"featured":133,"kicker_label":131,"meta":4162,"navigation":153,"path":4174,"published_at":4175,"question":131,"scraped_at":4176,"seo":4177,"sitemap":4178,"source_id":4179,"source_name":4180,"source_type":160,"source_url":4181,"stem":4182,"tags":4183,"thumbnail_url":131,"tldr":4184,"tweet":131,"unknown_tags":4185,"__hash__":4186},"summaries\u002Fsummaries\u002F9fe0833fbfbc904c-langgraph-builds-resilient-multi-agent-llm-debate--summary.md","LangGraph Builds Resilient Multi-Agent LLM Debate for Drift Tests",{"provider":7,"model":8,"input_tokens":4112,"output_tokens":4113,"processing_time_ms":4114,"cost_usd":4115},6461,1536,25050,0.00203755,{"type":14,"value":4117,"toc":4155},[4118,4122,4125,4128,4132,4135,4138,4142,4145,4148,4152],[17,4119,4121],{"id":4120},"stateful-orchestration-with-langgraph-handles-loops-and-retries","Stateful Orchestration with LangGraph Handles Loops and Retries",[22,4123,4124],{},"Replace naive Python loops with LangGraph's directed graphs to manage state across dozens of debate rounds. Define a typed DebateState object that tracks shared memory, personas, and critiques. Use conditional edges like should_continue_pros that read the is_approved boolean from Pydantic-structured outputs (e.g., CritiqueOutput with is_approved: bool, critique_feedback: str) to loop back for refinement or advance. This supports node-level retries without restarting workflows—critical for 50-round debates where a failure at round 45 shouldn't discard prior state.",[22,4126,4127],{},"Wrap LLM nodes in Tenacity decorators for exponential backoff retries (@retry(stop_after_attempt(10), wait_exponential(multiplier=2, min=4, max=60))), handling API timeouts and rate limits. Make the system model-agnostic via LangChain's init_chat_model: swap providers by editing config.py (e.g., \"google_genai:gemini-3.1-flash-lite-preview\" to \"anthropic:claude-3-5-sonnet-20241022\"). Auto-archive runs to Research Runs\u002F with names like memory-v6-temp-1-max-tokens-4096, appending suffixes to avoid overwrites.",[17,4129,4131],{"id":4130},"adversarial-refinement-loop-enforces-high-quality-arguments","Adversarial Refinement Loop Enforces High-Quality Arguments",[22,4133,4134],{},"Before publishing to shared_memory.json, route each Pros\u002FCons argument through a Persona → Thinking → Critique cycle. Persona Agent reads persona.json and evolves identity based on opponent moves, anchoring drift measurements. Thinking Agent stress-tests for logical gaps and inconsistencies. Critique Agent rejects circular logic, persona mismatches, or repeated evidence, restarting the loop—only approved arguments commit.",[22,4136,4137],{},"This creates loop-lock (undetectable progress due to over-strict critique), a drift signal. Tune critic strictness across levels; too loose misses degradation, too tight halts agents. Every round snapshots state to disk for \u003C30s recovery from schema errors.",[17,4139,4141],{"id":4140},"isolated-memory-prevents-contamination-and-enables-forensics","Isolated Memory Prevents Contamination and Enables Forensics",[22,4143,4144],{},"Use two-tier isolation: shared_memory.json holds only finalized arguments (append-only via write_json_direct()). Each team keeps private persona.json (identity), thinking.json (scratchpad), and critique.json (rejections)—invisible to opponents, preventing reasoning leaks that corrupt persona scores.",[22,4146,4147],{},"Refactor bloated DebateState to pass only needed keys per node (e.g., Critique skips shared transcript), cutting per-node latency 30% at round 20+. Append-only writes preserve all iterations for reconstructing argument evolution.",[17,4149,4151],{"id":4150},"implementation-trade-offs-and-fixes","Implementation Trade-offs and Fixes",[22,4153,4154],{},"Avoid passing full history to every node to prevent latency spikes. Snapshot state per round after early losses (e.g., 40-round run failed at 38). Calibrate critics experimentally as strictness destabilizes progress. These ensure architecture instruments drift precisely: memory boundaries shape conditions, Pydantic bridges probabilistic LLMs to deterministic routing, raising ValidationError on malformed outputs before propagation.",{"title":124,"searchDepth":125,"depth":125,"links":4156},[4157,4158,4159,4160],{"id":4120,"depth":125,"text":4121},{"id":4130,"depth":125,"text":4131},{"id":4140,"depth":125,"text":4141},{"id":4150,"depth":125,"text":4151},[180],{"content_references":4163,"triage":4171},[4164,4168],{"type":142,"title":4165,"author":4166,"url":4167,"context":4088},"Do AI Models Lose Themselves? Exploring LLM Drift Through Adversarial Debate","Rishav Saigal","https:\u002F\u002Fmedium.com\u002F@rishavsaigal\u002Fdo-ai-models-lose-themselves-exploring-llm-drift-through-adversarial-debate-a37e0c75012b",{"type":137,"title":4169,"url":4170,"context":3883},"LLMDriftExperiment","https:\u002F\u002Fgithub.com\u002FRishav1996\u002FLLMDriftExperiment",{"relevance":149,"novelty":150,"quality":150,"actionability":150,"composite":4172,"reasoning":4173},4.35,"Category: AI & LLMs. The article provides a detailed exploration of building a multi-agent debate system using LangGraph, addressing practical applications of LLMs and agent architectures. It offers specific techniques like using Pydantic schemas and stateful orchestration, which can be directly applied by developers looking to implement similar systems.","\u002Fsummaries\u002F9fe0833fbfbc904c-langgraph-builds-resilient-multi-agent-llm-debate-summary","2026-05-04 07:41:43","2026-05-04 16:13:25",{"title":4110,"description":124},{"loc":4174},"9fe0833fbfbc904c","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Flanggraph-multi-agent-architecture-building-a-self-critiquing-ai-debate-system-971a7ad881d9?source=rss----98111c9905da---4","summaries\u002F9fe0833fbfbc904c-langgraph-builds-resilient-multi-agent-llm-debate--summary",[164,165,166,167],"LangGraph's stateful graphs, Pydantic schemas, and isolated memory enable adversarial multi-agent debates that run 50 rounds reliably, detecting LLM drift via self-critiquing refinement loops.",[],"HwWCgXIkrqmVpgH5N4PNQHtRFQw8B0joNi9Yn_hWgSQ"]