[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-qwen3-coder-next-coding-llm-for-agents-with-tool-c-summary":3,"summaries-facets-categories":170,"summary-related-qwen3-coder-next-coding-llm-for-agents-with-tool-c-summary":4576},{"id":4,"title":5,"ai":6,"body":13,"categories":117,"created_at":118,"date_modified":118,"description":111,"extension":119,"faq":118,"featured":120,"kicker_label":118,"meta":121,"navigation":153,"path":154,"published_at":118,"question":118,"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":118,"tldr":167,"tweet":118,"unknown_tags":168,"__hash__":169},"summaries\u002Fsummaries\u002Fqwen3-coder-next-coding-llm-for-agents-with-tool-c-summary.md","Qwen3-Coder-Next: Coding LLM for Agents with Tool Calling",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",5328,1737,10140,0.00191145,{"type":14,"value":15,"toc":110},"minimark",[16,21,42,45,49,80,84],[17,18,20],"h2",{"id":19},"core-features-and-quick-inference","Core Features and Quick Inference",[22,23,24,25,29,30,33,34,37,38,41],"p",{},"Qwen3-Coder-Next runs in non-thinking mode without generating ",[26,27,28],"code",{},"\u003Cthink>\u003C\u002Fthink>"," blocks, simplifying outputs for coding tasks. Load it via ",[26,31,32],{},"transformers"," (latest version) with ",[26,35,36],{},"torch_dtype=\"auto\""," and ",[26,39,40],{},"device_map=\"auto\""," for automatic hardware placement. Use chat template for prompts like \"Write a quick sort algorithm,\" generating up to 65,536 new tokens. To avoid OOM errors, cap context at 32,768 tokens. Local apps like Ollama, LMStudio, MLX-LM, llama.cpp, and KTransformers support it out-of-the-box, enabling fast prototyping without cloud dependency.",[22,43,44],{},"Benchmarks (via images) show top performance on coding evals like SWE-Bench Verified, positioning it for agentic coding over general models.",[17,46,48],{"id":47},"efficient-deployment-for-production","Efficient Deployment for Production",[22,50,51,52,55,56,59,60,63,64,70,71,74,75,79],{},"Serve with OpenAI-compatible APIs using SGLang (>=v0.5.8, ",[26,53,54],{},"pip install 'sglang[app]>=v0.5.8'",") or vLLM (>=0.15.0, ",[26,57,58],{},"pip install 'vllm>=0.15.0'","). For SGLang: ",[26,61,62],{},"python -m sglang.launch_server --model Qwen\u002FQwen3-Coder-Next --port 30000 --tp-size 2 --tool-call-parser qwen3_coder"," starts at ",[65,66,67],"a",{"href":67,"rel":68},"http:\u002F\u002Flocalhost:30000\u002Fv1",[69],"nofollow"," with 256K context on 2 GPUs (tensor parallel). vLLM: ",[26,72,73],{},"vllm serve Qwen\u002FQwen3-Coder-Next --port 8000 --tensor-parallel-size 2 --enable-auto-tool-choice --tool-call-parser qwen3_coder"," at ",[65,76,77],{"href":77,"rel":78},"http:\u002F\u002Flocalhost:8000\u002Fv1",[69],". Reduce to 32,768 context if startup fails due to memory limits, trading length for reliability on smaller hardware.",[17,81,83],{"id":82},"agentic-workflows-and-optimization","Agentic Workflows and Optimization",[22,85,86,87,90,91,94,95,98,99,102,103,102,106,109],{},"Define JSON tools (e.g., ",[26,88,89],{},"square_the_number"," function taking ",[26,92,93],{},"input_num: number",") and call via OpenAI client against local endpoint: ",[26,96,97],{},"client.chat.completions.create(..., tools=tools)",". Model handles function calling natively without thinking tokens. For best results, sample at ",[26,100,101],{},"temperature=1.0",", ",[26,104,105],{},"top_p=0.95",[26,107,108],{},"top_k=40"," to balance creativity and focus in code generation. Full details in linked blog, GitHub, and docs; cite the Qwen3-Coder-Next tech report for production use.",{"title":111,"searchDepth":112,"depth":112,"links":113},"",2,[114,115,116],{"id":19,"depth":112,"text":20},{"id":47,"depth":112,"text":48},{"id":82,"depth":112,"text":83},[],null,"md",false,{"content_references":122,"triage":148},[123,129,134,137,140,145],{"type":124,"title":125,"author":126,"url":127,"context":128},"report","Qwen3-Coder-Next Technical Report","Qwen Team","https:\u002F\u002Fgithub.com\u002FQwenLM\u002FQwen3-Coder\u002Fblob\u002Fmain\u002Fqwen3_coder_next_tech_report.pdf","cited",{"type":130,"title":131,"url":132,"context":133},"other","Qwen3-Coder-Next blog","https:\u002F\u002Fqwen.ai\u002Fblog?id=qwen3-coder-next","mentioned",{"type":130,"title":135,"url":136,"context":133},"Qwen3-Coder GitHub","https:\u002F\u002Fgithub.com\u002FQwenLM\u002FQwen3-Coder",{"type":130,"title":138,"url":139,"context":133},"Qwen Documentation","https:\u002F\u002Fqwen.readthedocs.io\u002Fen\u002Flatest\u002F",{"type":141,"title":142,"url":143,"context":144},"tool","SGLang","https:\u002F\u002Fgithub.com\u002Fsgl-project\u002Fsglang","recommended",{"type":141,"title":146,"url":147,"context":144},"vLLM","https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm",{"relevance":149,"novelty":150,"quality":150,"actionability":149,"composite":151,"reasoning":152},5,4,4.55,"Category: AI & LLMs. The article provides in-depth technical details about the Qwen3-Coder-Next model, including its deployment and usage for coding agents, which directly addresses the needs of developers looking to integrate AI into their products. It offers actionable steps for deployment and optimization, making it highly relevant and practical for the target audience.",true,"\u002Fsummaries\u002Fqwen3-coder-next-coding-llm-for-agents-with-tool-c-summary","2026-04-15 15:35:14",{"title":5,"description":111},{"loc":154},"d5c7b26fc3a6353b","__oneoff__","article","https:\u002F\u002Fhuggingface.co\u002FQwen\u002FQwen3-Coder-Next","summaries\u002Fqwen3-coder-next-coding-llm-for-agents-with-tool-c-summary",[164,165,166],"llm","agents","python","Qwen3-Coder-Next is an open-weight model optimized for coding agents, featuring non-thinking mode, 256K context, strong benchmarks, and easy deployment via transformers, SGLang, or vLLM for local dev and tool 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Thesis-Testing Copilot with MCP & Python",{"provider":7,"model":8,"input_tokens":4581,"output_tokens":4582,"processing_time_ms":4583,"cost_usd":4584},8529,1789,17223,0.00257765,{"type":14,"value":4586,"toc":4650},[4587,4591,4599,4603,4635,4639],[17,4588,4590],{"id":4589},"thesis-driven-research-over-ticker-summaries","Thesis-Driven Research Over Ticker Summaries",[22,4592,4593,4594,4598],{},"Stock assistants summarize companies from tickers; this copilot tests specific claims like \"AAPL downside controlled, business quality high over 180 days.\" It outputs structured memos: (1) restated thesis, (2) supporting evidence (e.g., -13.82% max drawdown, 35.37% operating margin, 152.02% ROE, 15.70% revenue growth), (3) weakening evidence (e.g., -3 net EPS revisions), (4) missing evidence, (5) verdict (partially_supported), (6) bottom-line. Workflow parses thesis to {tickers: ",[4595,4596,4597],"span",{},"\"AAPL\"",", lookback_days: 180, thesis: \"...\", mode: \"single\"}, fetches data, computes signals, maps to support\u002Fcontradict, assigns verdict. Limits prevent abuse: max 365 lookback days, 5 tickers, 10 tool calls.",[17,4600,4602],{"id":4601},"mcp-client-for-reliable-financial-data-access","MCP Client for Reliable Financial Data Access",[22,4604,4605,4606,4609,4610,4613,4614,4618,4619,4622,4623,4626,4627,4630,4631,4634],{},"Use ",[26,4607,4608],{},"client.py"," for EODHD MCP: ",[26,4611,4612],{},"EODHDMCP"," class initializes with API key\u002Fbase_url=\"",[65,4615,4616],{"href":4616,"rel":4617},"https:\u002F\u002Fmcp.eodhd.dev\u002Fmcp",[69],"\". ",[26,4620,4621],{},"list_tools()"," caches tool names; ",[26,4624,4625],{},"call_tool(name, args, trace_id, timeout_s=25, retries=2)"," handles sessions, asyncio waits, returns output + metadata (trace_id, tool, args, latency_s). Traces all calls for inspectability. Fetch prices via \"get_historical_stock_prices\" ({ticker, start_date, end_date, period:\"d\", fmt:\"json\"}) yielding DataFrame of date\u002Fclose; fundamentals via \"get_fundamentals_data\" ({ticker, include_financials:False, fmt:\"json\"}) as dict. Helpers like ",[26,4628,4629],{},"to_text(out)"," normalize outputs, ",[26,4632,4633],{},"bump_tool_call(state, meta)"," tracks usage.",[17,4636,4638],{"id":4637},"signal-computation-for-evidence-layers","Signal Computation for Evidence Layers",[22,4640,4641,4642,4645,4646,4649],{},"From prices DataFrame, ",[26,4643,4644],{},"compute_price_signals()"," yields dict: n_points, start\u002Fend_price, ret_total (end\u002Fstart -1), vol_daily\u002Fannualized (std * sqrt(252)), ret_to_vol ratio, max_drawdown (min of close\u002Fcummax -1), trend_slope (polyfit log(close)). E.g., contained downside = low max_drawdown; quality returns = high ret_to_vol. Fundamentals use ",[26,4647,4648],{},"_to_float(x)"," to clean, extracting margins (operating\u002Fprofit), returns (ROA\u002FROE), growth (quarterly revenue\u002Fearnings yoy, forward estimates), revisions (net EPS over 30 days). Python computes explicit signals first, avoiding LLM hallucination on raw data—feeds stable inputs to later reasoning for support\u002Fcontradiction mapping.",{"title":111,"searchDepth":112,"depth":112,"links":4651},[4652,4653,4654],{"id":4589,"depth":112,"text":4590},{"id":4601,"depth":112,"text":4602},{"id":4637,"depth":112,"text":4638},[],{"content_references":4657,"triage":4664},[4658,4661],{"type":141,"title":4659,"url":4660,"context":144},"MCP server for financial data by EODHD","https:\u002F\u002Feodhd.com\u002Ffinancial-apis\u002Fmcp-server-for-financial-data-by-eodhd?utm_source=medium&utm_medium=post&utm_campaign=mcp_research_agent&utm_content=nikhil",{"type":141,"title":4662,"url":4663,"context":133},"EODHD","https:\u002F\u002Feodhd.com\u002F?utm_source=medium&utm_medium=post&utm_campaign=mcp_research_agent&utm_content=nikhil",{"relevance":149,"novelty":150,"quality":150,"actionability":149,"composite":151,"reasoning":4665},"Category: AI Automation. The article provides a detailed guide on building a thesis-testing copilot using Python and MCP, which directly addresses the needs of product builders looking to integrate AI into their workflows. It includes specific code examples and a structured approach to parsing investment theses, making it highly actionable for developers.","\u002Fsummaries\u002Fbuild-thesis-testing-copilot-with-mcp-python-summary","2026-05-07 08:25:15","2026-05-07 16:43:15",{"title":4579,"description":111},{"loc":4666},"6210cddcf41d2753","Generative AI","https:\u002F\u002Fgenerativeai.pub\u002Fbuilding-a-market-research-copilot-using-mcp-and-python-37dbdd74667f?source=rss----440100e76000---4","summaries\u002Fbuild-thesis-testing-copilot-with-mcp-python-summary",[166,164,165,4676],"ai-automation","Parse natural-language investment theses into structured requests, fetch prices\u002Ffundamentals via EODHD MCP, compute market\u002Fbusiness signals to generate evidence-based research memos with verdicts.",[4676],"C3NHb85wHC4qToDdWpQQsOwgzH5AEd99jjVr4qt4Pmo",{"id":4681,"title":4682,"ai":4683,"body":4688,"categories":4791,"created_at":118,"date_modified":118,"description":111,"extension":119,"faq":118,"featured":120,"kicker_label":118,"meta":4792,"navigation":153,"path":4802,"published_at":4803,"question":118,"scraped_at":4804,"seo":4805,"sitemap":4806,"source_id":4807,"source_name":4808,"source_type":160,"source_url":4809,"stem":4810,"tags":4811,"thumbnail_url":118,"tldr":4813,"tweet":118,"unknown_tags":4814,"__hash__":4815},"summaries\u002Fsummaries\u002Fgroq-powered-research-agent-with-langgraph-sub-age-summary.md","Groq-Powered Research Agent with LangGraph Sub-Agents",{"provider":7,"model":8,"input_tokens":4684,"output_tokens":4685,"processing_time_ms":4686,"cost_usd":4687},9460,2034,22865,0.00240215,{"type":14,"value":4689,"toc":4786},[4690,4694,4710,4717,4720,4724,4727,4759,4770,4774,4777,4780,4783],[17,4691,4693],{"id":4692},"langgraph-workflow-powers-reliable-agent-loops","LangGraph Workflow Powers Reliable Agent Loops",[22,4695,4696,4697,4701,4702,4709],{},"Connect Groq's OpenAI-compatible endpoint (base_url=\"",[65,4698,4699],{"href":4699,"rel":4700},"https:\u002F\u002Fapi.groq.com\u002Fopenai\u002Fv1",[69],"\") 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",[4595,4703,4704,4705,4708],{},"Sequence",[4595,4706,4707],{},"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.",[22,4711,4712,4713,4716],{},"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., ",[4595,4714,4715],{},"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.",[22,4718,4719],{},"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.",[17,4721,4723],{"id":4722},"sandboxed-tools-enable-safe-webfilecode-access","Sandboxed Tools Enable Safe Web\u002FFile\u002FCode Access",[22,4725,4726],{},"Restrict to SANDBOX=\u002Fcontent\u002Fdeerflow_sandbox with _safe() path validation to prevent escapes. Core tools:",[4728,4729,4730,4738,4744,4750],"ul",{},[4731,4732,4733,4737],"li",{},[4734,4735,4736],"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.",[4731,4739,4740,4743],{},[4734,4741,4742],{},"Files",": file_write\u002Fread\u002Flist(path) limits read to 8KB, lists 60 rglob items (skip memory\u002F), mkdirs parents.",[4731,4745,4746,4749],{},[4734,4747,4748],{},"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.",[4731,4751,4752,4755,4756,4758],{},[4734,4753,4754],{},"Memory",": remember(fact) appends timestamped JSON to memory\u002Flong_term.json (facts",[4595,4757],{},", preferences{}); recall() shows last 20.",[22,4760,4761,4762,4765,4766,4769],{},"These give controlled REPL-like access: agent computes charts, cross-refs sources (claim→evidence→URL), without sys\u002Fnetwork risks. Bind BASE_TOOLS=",[4595,4763,4764],{},"list_skills,load_skill,..."," + ",[4595,4767,4768],{},"spawn_subagent"," to llm.",[17,4771,4773],{"id":4772},"skills-and-sub-agents-modularize-complex-research","Skills and Sub-Agents Modularize Complex Research",[22,4775,4776],{},"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).",[22,4778,4779],{},"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.",[22,4781,4782],{},"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.",[22,4784,4785],{},"Extend by adding skills (e.g., data viz), scoping sub-agent tools, or integrating uploads\u002F.",{"title":111,"searchDepth":112,"depth":112,"links":4787},[4788,4789,4790],{"id":4692,"depth":112,"text":4693},{"id":4722,"depth":112,"text":4723},{"id":4772,"depth":112,"text":4773},[209],{"content_references":4793,"triage":4800},[4794,4797],{"type":141,"title":4795,"url":4796,"context":133},"Groq","https:\u002F\u002Fconsole.groq.com\u002Fhome",{"type":130,"title":4798,"url":4799,"context":144},"Full Codes with Notebook","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":4801},"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\u002Fgroq-powered-research-agent-with-langgraph-sub-age-summary","2026-05-06 23:00:03","2026-05-07 11:24:14",{"title":4682,"description":111},{"loc":4802},"3def0bb92586e5f5","MarkTechPost","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\u002Fgroq-powered-research-agent-with-langgraph-sub-age-summary",[165,166,164,4812],"ai-tools","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.",[],"QdfDFnm9p6O6FOC6Ie_WrWrHOHrARneqRzyWl5qWHA0",{"id":4817,"title":4818,"ai":4819,"body":4824,"categories":5500,"created_at":118,"date_modified":118,"description":111,"extension":119,"faq":118,"featured":120,"kicker_label":118,"meta":5501,"navigation":153,"path":5505,"published_at":5506,"question":118,"scraped_at":5507,"seo":5508,"sitemap":5509,"source_id":5510,"source_name":4808,"source_type":160,"source_url":5511,"stem":5512,"tags":5513,"thumbnail_url":118,"tldr":5514,"tweet":118,"unknown_tags":5515,"__hash__":5516},"summaries\u002Fsummaries\u002Fmodular-llm-agent-skills-registry-dynamic-routing-summary.md","Modular LLM Agent: Skills, Registry, Dynamic Routing",{"provider":7,"model":8,"input_tokens":4820,"output_tokens":4821,"processing_time_ms":4822,"cost_usd":4823},8978,2516,27296,0.00303095,{"type":14,"value":4825,"toc":5491},[4826,4830,4853,4868,4878,4881,5023,5032,5039,5043,5052,5082,5092,5097,5112,5122,5125,5129,5144,5151,5160,5174,5184,5199,5202,5205,5209,5215,5239,5269,5272,5276,5286,5311,5346,5349,5355,5377,5380,5383,5386,5390,5403,5414,5420,5423,5426,5437,5440,5444,5487],[17,4827,4829],{"id":4828},"skill-abstractions-for-modular-capabilities","Skill Abstractions for Modular Capabilities",[22,4831,4832,4833,4836,4837,4840,4841,4844,4845,4848,4849,4852],{},"Skills are the core building blocks, modeled as self-describing, versioned modules analogous to OS syscalls. Each inherits from an abstract ",[26,4834,4835],{},"Skill"," base class requiring three methods: ",[26,4838,4839],{},"_define_metadata()"," for ",[26,4842,4843],{},"SkillMetadata"," (name, description, category, tags, dependencies, etc.), ",[26,4846,4847],{},"_define_schema()"," for OpenAI tool parameters (JSON schema), and ",[26,4850,4851],{},"execute(**kwargs)"," for implementation.",[22,4854,4855,4856,4859,4860,4863,4864,4867],{},"Metadata uses ",[26,4857,4858],{},"@dataclass"," with ",[26,4861,4862],{},"SkillCategory"," enum (DATA, REASONING, etc.) for categorization. Execution tracks stats like call count and latency. Skills convert to OpenAI tools via ",[26,4865,4866],{},"to_openai_tool()",".",[22,4869,4870,4873,4874,4877],{},[4734,4871,4872],{},"Principle:"," Encapsulate logic with rich introspection—skills declare dependencies (",[26,4875,4876],{},"requires_skills",") and costs, enabling runtime validation and optimization.",[22,4879,4880],{},"Example: Calculator skill safely evaluates math expressions:",[4882,4883,4886],"pre",{"className":4884,"code":4885,"language":166,"meta":111,"style":111},"language-python shiki shiki-themes github-light github-dark","class CalculatorSkill(Skill):\n    def _define_metadata(self):\n        return SkillMetadata(\n            name=\"calculator\",\n            description=\"Evaluate mathematical expressions...\",\n            category=SkillCategory.REASONING,\n            tags=[\"math\", \"arithmetic\"],\n        )\n\n    def _define_schema(self):\n        return {\n            \"type\": \"object\",\n            \"properties\": {\"expression\": {\"type\": \"string\"}},\n            \"required\": [\"expression\"]\n        }\n\n    def execute(self, expression: str) -> str:\n        import math\n        safe = {\"__builtins__\": {}, \"sqrt\": math.sqrt, ...}  # Sandboxed eval\n        try:\n            return f\"Result: {eval(expression, safe)}\"\n        except Exception as ex:\n            return f\"Error: {ex}\"\n",[26,4887,4888,4895,4900,4906,4911,4916,4922,4928,4934,4940,4946,4952,4958,4964,4970,4976,4981,4987,4993,4999,5005,5011,5017],{"__ignoreMap":111},[4595,4889,4892],{"class":4890,"line":4891},"line",1,[4595,4893,4894],{},"class CalculatorSkill(Skill):\n",[4595,4896,4897],{"class":4890,"line":112},[4595,4898,4899],{},"    def _define_metadata(self):\n",[4595,4901,4903],{"class":4890,"line":4902},3,[4595,4904,4905],{},"        return SkillMetadata(\n",[4595,4907,4908],{"class":4890,"line":150},[4595,4909,4910],{},"            name=\"calculator\",\n",[4595,4912,4913],{"class":4890,"line":149},[4595,4914,4915],{},"            description=\"Evaluate mathematical expressions...\",\n",[4595,4917,4919],{"class":4890,"line":4918},6,[4595,4920,4921],{},"            category=SkillCategory.REASONING,\n",[4595,4923,4925],{"class":4890,"line":4924},7,[4595,4926,4927],{},"            tags=[\"math\", \"arithmetic\"],\n",[4595,4929,4931],{"class":4890,"line":4930},8,[4595,4932,4933],{},"        )\n",[4595,4935,4937],{"class":4890,"line":4936},9,[4595,4938,4939],{"emptyLinePlaceholder":153},"\n",[4595,4941,4943],{"class":4890,"line":4942},10,[4595,4944,4945],{},"    def _define_schema(self):\n",[4595,4947,4949],{"class":4890,"line":4948},11,[4595,4950,4951],{},"        return {\n",[4595,4953,4955],{"class":4890,"line":4954},12,[4595,4956,4957],{},"            \"type\": \"object\",\n",[4595,4959,4961],{"class":4890,"line":4960},13,[4595,4962,4963],{},"            \"properties\": {\"expression\": {\"type\": \"string\"}},\n",[4595,4965,4967],{"class":4890,"line":4966},14,[4595,4968,4969],{},"            \"required\": [\"expression\"]\n",[4595,4971,4973],{"class":4890,"line":4972},15,[4595,4974,4975],{},"        }\n",[4595,4977,4979],{"class":4890,"line":4978},16,[4595,4980,4939],{"emptyLinePlaceholder":153},[4595,4982,4984],{"class":4890,"line":4983},17,[4595,4985,4986],{},"    def execute(self, expression: str) -> str:\n",[4595,4988,4990],{"class":4890,"line":4989},18,[4595,4991,4992],{},"        import math\n",[4595,4994,4996],{"class":4890,"line":4995},19,[4595,4997,4998],{},"        safe = {\"__builtins__\": {}, \"sqrt\": math.sqrt, ...}  # Sandboxed eval\n",[4595,5000,5002],{"class":4890,"line":5001},20,[4595,5003,5004],{},"        try:\n",[4595,5006,5008],{"class":4890,"line":5007},21,[4595,5009,5010],{},"            return f\"Result: {eval(expression, safe)}\"\n",[4595,5012,5014],{"class":4890,"line":5013},22,[4595,5015,5016],{},"        except Exception as ex:\n",[4595,5018,5020],{"class":4890,"line":5019},23,[4595,5021,5022],{},"            return f\"Error: {ex}\"\n",[22,5024,5025,5026,4840,5029,4867],{},"This prevents injection attacks via restricted globals. Output: ",[26,5027,5028],{},"Result: 1024",[26,5030,5031],{},"'2**10'",[22,5033,5034,5035,5038],{},"Common pitfall: Unrestricted ",[26,5036,5037],{},"eval","—always sandbox. Quality criteria: Schema must match LLM expectations; metadata descriptions guide tool selection precisely.",[17,5040,5042],{"id":5041},"central-registry-for-dynamic-discovery","Central Registry for Dynamic Discovery",[22,5044,5045,5048,5049,4867],{},[26,5046,5047],{},"SkillRegistry"," acts as a catalog: register skills by name, index by category\u002Ftags, list\u002Ffilter, and expose as OpenAI tools. Supports hot-loading via ",[26,5050,5051],{},"SkillLoader",[4882,5053,5055],{"className":4884,"code":5054,"language":166,"meta":111,"style":111},"registry = SkillRegistry()\nregistry.register(CalculatorSkill())\nregistry.register(TextSummarizerSkill())\n# ...\nconsole.print(registry.display())  # Rich table view\n",[26,5056,5057,5062,5067,5072,5077],{"__ignoreMap":111},[4595,5058,5059],{"class":4890,"line":4891},[4595,5060,5061],{},"registry = SkillRegistry()\n",[4595,5063,5064],{"class":4890,"line":112},[4595,5065,5066],{},"registry.register(CalculatorSkill())\n",[4595,5068,5069],{"class":4890,"line":4902},[4595,5070,5071],{},"registry.register(TextSummarizerSkill())\n",[4595,5073,5074],{"class":4890,"line":150},[4595,5075,5076],{},"# ...\n",[4595,5078,5079],{"class":4890,"line":149},[4595,5080,5081],{},"console.print(registry.display())  # Rich table view\n",[22,5083,5084,5085,102,5088,5091],{},"Registry methods: ",[26,5086,5087],{},"get_by_category()",[26,5089,5090],{},"to_openai_tools(names=None)"," filters tools dynamically. Principle: Decouple skill definition from invocation—LLM sees only relevant tools.",[22,5093,5094],{},[4734,5095,5096],{},"Hot-loading example:",[4882,5098,5100],{"className":4884,"code":5099,"language":166,"meta":111,"style":111},"loader = SkillLoader(registry)\nloader.load(FactCheckerSkill)  # Registers instantly\n",[26,5101,5102,5107],{"__ignoreMap":111},[4595,5103,5104],{"class":4890,"line":4891},[4595,5105,5106],{},"loader = SkillLoader(registry)\n",[4595,5108,5109],{"class":4890,"line":112},[4595,5110,5111],{},"loader.load(FactCheckerSkill)  # Registers instantly\n",[22,5113,5114,5115,5118,5119,4867],{},"Unload with ",[26,5116,5117],{},"loader.unload('name')",". Enables runtime extensibility without restarts. Avoid overloading LLM with all tools—filter by context or query ",[26,5120,5121],{},"skill_introspector",[22,5123,5124],{},"\"Central catalog of all agent capabilities. Analogue: OS process\u002Fsyscall table.\"",[17,5126,5128],{"id":5127},"implementing-specialized-skills","Implementing Specialized Skills",[22,5130,5131,5132,5135,5136,5139,5140,5143],{},"Extend for NLP\u002Freasoning: ",[26,5133,5134],{},"TextSummarizerSkill"," uses LLM with mode-specific prompts (brief\u002Fstandard\u002Fdetailed). ",[26,5137,5138],{},"DataAnalystSkill"," ingests JSON\u002FCSV, answers questions. ",[26,5141,5142],{},"CodeGeneratorSkill"," outputs commented Python.",[22,5145,5146,5147,5150],{},"JSON-structured outputs for parseability, e.g., ",[26,5148,5149],{},"FactCheckerSkill",":",[4882,5152,5154],{"className":4884,"code":5153,"language":166,"meta":111,"style":111},"{\"verdict\":\"true|false|uncertain\",\"confidence\":0.7,\"explanation\":\"...\"}\n",[26,5155,5156],{"__ignoreMap":111},[4595,5157,5158],{"class":4890,"line":4891},[4595,5159,5153],{},[22,5161,5162,5165,5166,5169,5170,5173],{},[26,5163,5164],{},"SentimentAnalyzerSkill"," adds emotion scores optionally. ",[26,5167,5168],{},"TranslationSkill"," controls formality. All leverage ",[26,5171,5172],{},"gpt-4o-mini"," for cost-efficiency.",[22,5175,5176,5179,5180,5183],{},[4734,5177,5178],{},"Meta-skill:"," ",[26,5181,5182],{},"SkillIntrospectorSkill(registry)"," lists\u002Fdescribes skills:",[4728,5185,5186,5193],{},[4731,5187,5188,5189,5192],{},"Action ",[26,5190,5191],{},"list",": Bullet list of skills.",[4731,5194,5195,5198],{},[26,5196,5197],{},"describe",": Full metadata\u002Fschema.",[22,5200,5201],{},"Principle: Self-awareness prevents hallucinated tool calls. Prompt LLM to use introspector when unsure: \"Use skill_introspector if unsure which skill to pick.\"",[22,5203,5204],{},"Pitfall: Vague descriptions lead to wrong routing—be precise, e.g., \"Assess factual accuracy... Returns verdict, confidence...\"",[17,5206,5208],{"id":5207},"composite-skills-and-orchestration","Composite Skills and Orchestration",[22,5210,5211,5214],{},[26,5212,5213],{},"ResearchReportSkill(registry)"," composes sub-skills fractally:",[5216,5217,5218,5225,5232],"ol",{},[4731,5219,5220,5221,5224],{},"Summarize data (",[26,5222,5223],{},"text_summarizer",", detailed mode).",[4731,5226,5227,5228,5231],{},"Analyze quantitatively (",[26,5229,5230],{},"data_analyst",").",[4731,5233,5234,5235,5238],{},"Generate visualization code (",[26,5236,5237],{},"code_generator",", optional).",[4882,5240,5242],{"className":4884,"code":5241,"language":166,"meta":111,"style":111},"def execute(self, topic: str, data: str, include_code: bool = True) -> str:\n    summary = self._registry.get(\"text_summarizer\")(text=data, mode=\"detailed\")\n    analysis = self._registry.get(\"data_analyst\")(data=data, question=f\"Key insights about {topic}\")\n    # ...\n    return markdown_report\n",[26,5243,5244,5249,5254,5259,5264],{"__ignoreMap":111},[4595,5245,5246],{"class":4890,"line":4891},[4595,5247,5248],{},"def execute(self, topic: str, data: str, include_code: bool = True) -> str:\n",[4595,5250,5251],{"class":4890,"line":112},[4595,5252,5253],{},"    summary = self._registry.get(\"text_summarizer\")(text=data, mode=\"detailed\")\n",[4595,5255,5256],{"class":4890,"line":4902},[4595,5257,5258],{},"    analysis = self._registry.get(\"data_analyst\")(data=data, question=f\"Key insights about {topic}\")\n",[4595,5260,5261],{"class":4890,"line":150},[4595,5262,5263],{},"    # ...\n",[4595,5265,5266],{"class":4890,"line":149},[4595,5267,5268],{},"    return markdown_report\n",[22,5270,5271],{},"Logs sub-calls for observability. Dependencies declared in metadata validate composition.",[17,5273,5275],{"id":5274},"agent-execution-loop-with-tool-routing","Agent Execution Loop with Tool Routing",[22,5277,5278,5281,5282,5285],{},[26,5279,5280],{},"SkillBasedAgent"," orchestrates via ReAct-like loop (up to ",[26,5283,5284],{},"max_iterations=6","):",[5216,5287,5288,5291,5297,5304],{},[4731,5289,5290],{},"System prompt lists principles and loaded skills.",[4731,5292,5293,5294,4867],{},"LLM gets tools from registry, calls via ",[26,5295,5296],{},"tool_choice=\"auto\"",[4731,5298,5299,5300,5303],{},"Dispatch: ",[26,5301,5302],{},"registry.get(name)(**args)",", append tool result to messages.",[4731,5305,5306,5307,5310],{},"Repeat until ",[26,5308,5309],{},"finish_reason=\"stop\""," or max iterations.",[4882,5312,5314],{"className":4884,"code":5313,"language":166,"meta":111,"style":111},"def run(self, user_input: str) -> str:\n    messages = [{\"role\": \"system\", \"content\": self.system_prompt}, {\"role\": \"user\", \"content\": user_input}]\n    for i in range(self.max_iterations):\n        resp = client.chat.completions.create(model=MODEL, messages=messages, tools=tools)\n        # Handle tool_calls, dispatch, append results\n    return final_answer\n",[26,5315,5316,5321,5326,5331,5336,5341],{"__ignoreMap":111},[4595,5317,5318],{"class":4890,"line":4891},[4595,5319,5320],{},"def run(self, user_input: str) -> str:\n",[4595,5322,5323],{"class":4890,"line":112},[4595,5324,5325],{},"    messages = [{\"role\": \"system\", \"content\": self.system_prompt}, {\"role\": \"user\", \"content\": user_input}]\n",[4595,5327,5328],{"class":4890,"line":4902},[4595,5329,5330],{},"    for i in range(self.max_iterations):\n",[4595,5332,5333],{"class":4890,"line":150},[4595,5334,5335],{},"        resp = client.chat.completions.create(model=MODEL, messages=messages, tools=tools)\n",[4595,5337,5338],{"class":4890,"line":149},[4595,5339,5340],{},"        # Handle tool_calls, dispatch, append results\n",[4595,5342,5343],{"class":4890,"line":4918},[4595,5344,5345],{},"    return final_answer\n",[22,5347,5348],{},"Verbose mode uses Rich panels\u002Ftables for traces. Synthesizes multi-tool outputs into coherent response.",[22,5350,5351,5354],{},[4734,5352,5353],{},"Example workflow:"," User: \"Summarize this sales data and check if growth claim is true.\"",[4728,5356,5357,5363,5368,5374],{},[4731,5358,5359,5360,5362],{},"Calls ",[26,5361,5223],{}," → summary.",[4731,5364,5365,5367],{},[26,5366,5230],{}," → insights.",[4731,5369,5370,5373],{},[26,5371,5372],{},"fact_checker"," → verdict.",[4731,5375,5376],{},"Final: Integrated report.",[22,5378,5379],{},"Principle: LLM routes dynamically—no hardcoded if\u002Felse. Trade-off: Token cost scales with iterations\u002Ftools; mitigate with targeted tools and cheap model.",[22,5381,5382],{},"\"PRINCIPLES: 1. Use the most appropriate skill... 2. Chain multiple skills... 3. Use skill_introspector... 4. Synthesize...\"",[22,5384,5385],{},"Pitfall: Infinite loops—cap iterations, clear tool results properly. Quality: Final answer must weave tool outputs, not dump raw.",[17,5387,5389],{"id":5388},"runtime-extensibility-and-observability","Runtime Extensibility and Observability",[22,5391,5392,5394,5395,5398,5399,5402],{},[26,5393,5051],{}," mirrors package managers: ",[26,5396,5397],{},"load(skill_class, *args)"," instantiates\u002Fregisters. Supports registry-dependent skills (e.g., pass ",[26,5400,5401],{},"registry"," to composites).",[22,5404,5405,5406,5409,5410,5413],{},"Stats via ",[26,5407,5408],{},"skill.stats",": ",[26,5411,5412],{},"{\"calls\": 5, \"avg_latency_ms\": 120}",". Display registry table shows usage at glance.",[22,5415,5416,5419],{},[4734,5417,5418],{},"Dashboard-like:"," Rich tables for skills, iteration traces. Extend with LangSmith\u002FPhoenix for production.",[22,5421,5422],{},"\"Hot-loaded skill: research_report\"—no restart needed.",[22,5424,5425],{},"Assumes: Python proficiency, OpenAI tool calling basics. Fits after simple function calling, before full agent frameworks like LangGraph.",[22,5427,5428,5429,5432,5433,5436],{},"Practice: Add ",[26,5430,5431],{},"WebSearchSkill"," (requires API), compose into ",[26,5434,5435],{},"MarketResearchSkill",". Test chaining: math → plot code → sentiment on results.",[22,5438,5439],{},"\"Each Skill is: self-describing · versioned · testable · composable.\"",[17,5441,5443],{"id":5442},"key-takeaways","Key Takeaways",[4728,5445,5446,5449,5454,5457,5460,5466,5469,5472,5478,5484],{},[4731,5447,5448],{},"Define skills with metadata\u002Fschema\u002Fexecute for LLM compatibility and introspection.",[4731,5450,4605,5451,5453],{},[26,5452,5047],{}," to index and expose tools dynamically—filter to avoid context overflow.",[4731,5455,5456],{},"Implement agent loop: LLM reasons → tool call → dispatch → synthesize, max 6 iterations.",[4731,5458,5459],{},"Compose skills hierarchically; declare dependencies for validation.",[4731,5461,5462,5463,5465],{},"Hot-load via ",[26,5464,5051],{}," for extensibility; track stats for optimization.",[4731,5467,5468],{},"Sandbox executions (e.g., safe eval); structure outputs as JSON for parsing.",[4731,5470,5471],{},"Prompt with principles: appropriate skill, chain, introspect, synthesize.",[4731,5473,5474,5475,5477],{},"Start with ",[26,5476,5172],{}," for cost; upgrade for complex reasoning.",[4731,5479,5480,5481,5483],{},"Add ",[26,5482,5121],{}," always—enables discovery without prompt bloat.",[4731,5485,5486],{},"Observe via console traces; productionize with external logging.",[5488,5489,5490],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":111,"searchDepth":112,"depth":112,"links":5492},[5493,5494,5495,5496,5497,5498,5499],{"id":4828,"depth":112,"text":4829},{"id":5041,"depth":112,"text":5042},{"id":5127,"depth":112,"text":5128},{"id":5207,"depth":112,"text":5208},{"id":5274,"depth":112,"text":5275},{"id":5388,"depth":112,"text":5389},{"id":5442,"depth":112,"text":5443},[209],{"content_references":5502,"triage":5503},[],{"relevance":149,"novelty":150,"quality":150,"actionability":149,"composite":151,"reasoning":5504},"Category: AI & LLMs. The article provides a detailed framework for building a modular skill-based agent system for LLMs, addressing the audience's need for practical applications in AI integration. It includes specific code examples and actionable steps for implementation, making it highly relevant and immediately applicable.","\u002Fsummaries\u002Fmodular-llm-agent-skills-registry-dynamic-routing-summary","2026-05-05 20:47:25","2026-05-06 16:14:16",{"title":4818,"description":111},{"loc":5505},"795472d520b82a5d","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F05\u002Fbuild-a-modular-skill-based-agent-system-for-llms-with-dynamic-tool-routing-in-python\u002F","summaries\u002Fmodular-llm-agent-skills-registry-dynamic-routing-summary",[165,166,164,4676],"Build a Python agent system where LLMs dynamically select and chain modular skills via a central registry, enabling composable workflows, hot-loading, and multi-step reasoning.",[4676],"_cxNjxqyKcFDUN321-4rm1we7-s7USeiQI_MVY8Nxaw",{"id":5518,"title":5519,"ai":5520,"body":5525,"categories":5562,"created_at":118,"date_modified":118,"description":111,"extension":119,"faq":118,"featured":120,"kicker_label":118,"meta":5563,"navigation":153,"path":5575,"published_at":5576,"question":118,"scraped_at":5577,"seo":5578,"sitemap":5579,"source_id":5580,"source_name":4672,"source_type":160,"source_url":5581,"stem":5582,"tags":5583,"thumbnail_url":118,"tldr":5584,"tweet":118,"unknown_tags":5585,"__hash__":5586},"summaries\u002Fsummaries\u002Flocal-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":5521,"output_tokens":5522,"processing_time_ms":5523,"cost_usd":5524},3907,2286,26814,0.00190175,{"type":14,"value":5526,"toc":5557},[5527,5531,5534,5537,5541,5544,5547,5551,5554],[17,5528,5530],{"id":5529},"agentic-systems-as-programmable-stacks","Agentic Systems as Programmable Stacks",[22,5532,5533],{},"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.",[22,5535,5536],{},"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.",[17,5538,5540],{"id":5539},"wiring-and-execution-flow","Wiring and Execution Flow",[22,5542,5543],{},"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.",[22,5545,5546],{},"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.",[17,5548,5550],{"id":5549},"production-ready-ops-example","Production-Ready Ops Example",[22,5552,5553],{},"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?\"",[22,5555,5556],{},"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":111,"searchDepth":112,"depth":112,"links":5558},[5559,5560,5561],{"id":5529,"depth":112,"text":5530},{"id":5539,"depth":112,"text":5540},{"id":5549,"depth":112,"text":5550},[209],{"content_references":5564,"triage":5573},[5565,5569,5571],{"type":130,"title":5566,"author":5567,"url":5568,"context":128},"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",{"type":141,"title":5570,"context":133},"Ollama",{"type":141,"title":5572,"context":133},"MCP",{"relevance":149,"novelty":150,"quality":150,"actionability":149,"composite":151,"reasoning":5574},"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\u002Flocal-ai-agent-stack-ollama-as-llm-mcp-as-librarie-summary","2026-05-05 05:58:24","2026-05-05 16:09:21",{"title":5519,"description":111},{"loc":5575},"3ac2f26e456f1db9","https:\u002F\u002Fgenerativeai.pub\u002Frun-your-own-ai-agent-locally-ollama-mcp-and-skills-explained-a913fe46e938?source=rss----440100e76000---4","summaries\u002Flocal-ai-agent-stack-ollama-as-llm-mcp-as-librarie-summary",[164,165,166,4812],"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.",[],"zX0BSBGBkokkzdDcpKTmwOdoxXFBuFPVsyHz3Ho5UoE"]