[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-f4eb950680af8874-processing-1-7m-agentic-traces-with-agenttrove-summary":3,"summaries-facets-categories":125,"summary-related-f4eb950680af8874-processing-1-7m-agentic-traces-with-agenttrove-summary":7029},{"id":4,"title":5,"ai":6,"body":13,"categories":85,"created_at":87,"date_modified":87,"description":79,"extension":88,"faq":87,"featured":89,"kicker_label":87,"meta":90,"navigation":107,"path":108,"published_at":109,"question":87,"scraped_at":109,"seo":110,"sitemap":111,"source_id":112,"source_name":113,"source_type":114,"source_url":115,"stem":116,"tags":117,"thumbnail_url":87,"tldr":122,"tweet":87,"unknown_tags":123,"__hash__":124},"summaries\u002Fsummaries\u002Ff4eb950680af8874-processing-1-7m-agentic-traces-with-agenttrove-summary.md","Processing 1.7M Agentic Traces with AgentTrove",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",11096,646,3960,0.003743,{"type":14,"value":15,"toc":78},"minimark",[16,21,30,34,41,44,67,71],[17,18,20],"h2",{"id":19},"efficient-dataset-handling-via-streaming","Efficient Dataset Handling via Streaming",[22,23,24,25,29],"p",{},"Instead of downloading the full AgentTrove dataset, which contains 1.7 million agentic traces, developers should use the Hugging Face ",[26,27,28],"code",{},"datasets"," library in streaming mode. This approach allows for inspection and filtering of massive datasets directly from the cloud, significantly reducing local storage requirements and setup time. The process begins by opening the dataset as a stream and inspecting the first row to determine the schema, as agentic datasets often vary in structure.",[17,31,33],{"id":32},"normalization-and-feature-extraction","Normalization and Feature Extraction",[22,35,36,37,40],{},"Because agentic traces often contain heterogeneous data structures (e.g., varying keys for roles or content), a robust pipeline requires a normalization function. This function standardizes turns into a consistent ",[26,38,39],{},"(role, content)"," format.",[22,42,43],{},"To derive actionable insights from these traces, the tutorial introduces:",[45,46,47,55,61],"ul",{},[48,49,50,54],"li",{},[51,52,53],"strong",{},"Command Extraction:"," A regex-based utility that parses JSON-style assistant outputs to identify shell commands, allowing for the quantification of tool usage.",[48,56,57,60],{},[51,58,59],{},"Trajectory Rendering:"," A helper function that labels turns (System, User, Assistant, Tool) and truncates long content, providing a readable view of complex agent behaviors.",[48,62,63,66],{},[51,64,65],{},"Statistical Analysis:"," By streaming a sample (e.g., 2,000 rows), developers can build a pandas DataFrame to analyze metrics like turn counts, total character length, and command frequency, which helps in understanding dataset distribution and quality.",[17,68,70],{"id":69},"filtering-for-supervised-fine-tuning-sft","Filtering for Supervised Fine-Tuning (SFT)",[22,72,73,74,77],{},"To prepare data for fine-tuning, the article outlines a filtering workflow based on task success. By defining an ",[26,75,76],{},"is_success"," function that checks for keywords like \"resolved\" or \"passed\" and validates reward scores (e.g., >= 1.0), developers can isolate high-quality trajectories. These successful traces are then exported into a clean, ShareGPT-style JSONL format, which is compatible with popular fine-tuning frameworks like Axolotl or LLaMA-Factory.",{"title":79,"searchDepth":80,"depth":80,"links":81},"",2,[82,83,84],{"id":19,"depth":80,"text":20},{"id":32,"depth":80,"text":33},{"id":69,"depth":80,"text":70},[86],"AI Automation",null,"md",false,{"content_references":91,"triage":102},[92,97,100],{"type":93,"title":94,"url":95,"context":96},"tool","AgentTrove","https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002Fopen-thoughts\u002FAgentTrove","recommended",{"type":93,"title":98,"context":99},"Axolotl","mentioned",{"type":93,"title":101,"context":99},"LLaMA-Factory",{"relevance":103,"novelty":104,"quality":104,"actionability":103,"composite":105,"reasoning":106},5,4,4.55,"Category: AI & LLMs. The article provides a detailed guide on processing large-scale agentic traces, addressing the practical needs of developers looking to fine-tune AI models. It includes specific techniques for dataset handling and filtering, making it immediately actionable for the target audience.",true,"\u002Fsummaries\u002Ff4eb950680af8874-processing-1-7m-agentic-traces-with-agenttrove-summary","2026-05-30 14:03:16",{"title":5,"description":79},{"loc":108},"f4eb950680af8874","MarkTechPost","article","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F29\u002Fhow-to-use-agenttrove-streaming-1-7m-agentic-traces-and-building-a-clean-sharegpt-sft-dataset-in-python\u002F","summaries\u002Ff4eb950680af8874-processing-1-7m-agentic-traces-with-agenttrove-summary",[118,119,120,121],"llm","agents","python","data-science","Learn to stream, analyze, and filter large-scale agentic interaction traces from AgentTrove to create high-quality, ShareGPT-style datasets for fine-tuning without downloading the full 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Local apps like Ollama, LMStudio, MLX-LM, llama.cpp, and KTransformers support it out-of-the-box, enabling fast prototyping without cloud dependency.",[22,7065,7066],{},"Benchmarks (via images) show top performance on coding evals like SWE-Bench Verified, positioning it for agentic coding over general models.",[17,7068,7070],{"id":7069},"efficient-deployment-for-production","Efficient Deployment for Production",[22,7072,7073,7074,7077,7078,7081,7082,7085,7086,7092,7093,7096,7097,7101],{},"Serve with OpenAI-compatible APIs using SGLang (>=v0.5.8, ",[26,7075,7076],{},"pip install 'sglang[app]>=v0.5.8'",") or vLLM (>=0.15.0, ",[26,7079,7080],{},"pip install 'vllm>=0.15.0'","). For SGLang: ",[26,7083,7084],{},"python -m sglang.launch_server --model Qwen\u002FQwen3-Coder-Next --port 30000 --tp-size 2 --tool-call-parser qwen3_coder"," starts at ",[7087,7088,7089],"a",{"href":7089,"rel":7090},"http:\u002F\u002Flocalhost:30000\u002Fv1",[7091],"nofollow"," with 256K context on 2 GPUs (tensor parallel). vLLM: ",[26,7094,7095],{},"vllm serve Qwen\u002FQwen3-Coder-Next --port 8000 --tensor-parallel-size 2 --enable-auto-tool-choice --tool-call-parser qwen3_coder"," at ",[7087,7098,7099],{"href":7099,"rel":7100},"http:\u002F\u002Flocalhost:8000\u002Fv1",[7091],". Reduce to 32,768 context if startup fails due to memory limits, trading length for reliability on smaller hardware.",[17,7103,7105],{"id":7104},"agentic-workflows-and-optimization","Agentic Workflows and Optimization",[22,7107,7108,7109,7112,7113,7116,7117,7120,7121,7124,7125,7124,7128,7131],{},"Define JSON tools (e.g., ",[26,7110,7111],{},"square_the_number"," function taking ",[26,7114,7115],{},"input_num: number",") and call via OpenAI client against local endpoint: ",[26,7118,7119],{},"client.chat.completions.create(..., tools=tools)",". Model handles function calling natively without thinking tokens. For best results, sample at ",[26,7122,7123],{},"temperature=1.0",", ",[26,7126,7127],{},"top_p=0.95",[26,7129,7130],{},"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":79,"searchDepth":80,"depth":80,"links":7133},[7134,7135,7136],{"id":7043,"depth":80,"text":7044},{"id":7069,"depth":80,"text":7070},{"id":7104,"depth":80,"text":7105},[],{"content_references":7139,"triage":7162},[7140,7146,7150,7153,7156,7159],{"type":7141,"title":7142,"author":7143,"url":7144,"context":7145},"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":7147,"title":7148,"url":7149,"context":99},"other","Qwen3-Coder-Next blog","https:\u002F\u002Fqwen.ai\u002Fblog?id=qwen3-coder-next",{"type":7147,"title":7151,"url":7152,"context":99},"Qwen3-Coder GitHub","https:\u002F\u002Fgithub.com\u002FQwenLM\u002FQwen3-Coder",{"type":7147,"title":7154,"url":7155,"context":99},"Qwen Documentation","https:\u002F\u002Fqwen.readthedocs.io\u002Fen\u002Flatest\u002F",{"type":93,"title":7157,"url":7158,"context":96},"SGLang","https:\u002F\u002Fgithub.com\u002Fsgl-project\u002Fsglang",{"type":93,"title":7160,"url":7161,"context":96},"vLLM","https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm",{"relevance":103,"novelty":104,"quality":104,"actionability":103,"composite":105,"reasoning":7163},"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.","\u002Fsummaries\u002Fd5c7b26fc3a6353b-qwen3-coder-next-coding-llm-for-agents-with-tool-c-summary","2026-04-15 15:35:14",{"title":7032,"description":79},{"loc":7164},"d5c7b26fc3a6353b","__oneoff__","https:\u002F\u002Fhuggingface.co\u002FQwen\u002FQwen3-Coder-Next","summaries\u002Fd5c7b26fc3a6353b-qwen3-coder-next-coding-llm-for-agents-with-tool-c-summary",[118,119,120],"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 use.",[],"-Kmf7Ahy-Hq9bPYNqqWxKfn6saDo7KGeACSG7NKydSg",{"id":7177,"title":7178,"ai":7179,"body":7184,"categories":7212,"created_at":87,"date_modified":87,"description":79,"extension":88,"faq":87,"featured":89,"kicker_label":87,"meta":7213,"navigation":107,"path":7232,"published_at":7233,"question":87,"scraped_at":7234,"seo":7235,"sitemap":7236,"source_id":7237,"source_name":7238,"source_type":7239,"source_url":7240,"stem":7241,"tags":7242,"thumbnail_url":7244,"tldr":7245,"tweet":7246,"unknown_tags":7247,"__hash__":7248},"summaries\u002Fsummaries\u002F6a9e97f4c61c7030-automating-community-outreach-with-ai-agents-summary.md","Automating Community Outreach with AI Agents",{"provider":7,"model":8,"input_tokens":7180,"output_tokens":7181,"processing_time_ms":7182,"cost_usd":7183},8046,748,3583,0.0031335,{"type":14,"value":7185,"toc":7207},[7186,7190,7193,7197,7200,7204],[17,7187,7189],{"id":7188},"from-manual-outreach-to-deterministic-workflows","From Manual Outreach to Deterministic Workflows",[22,7191,7192],{},"Niels Rogge’s role at Hugging Face involves identifying research papers with weights hosted on third-party sites (Google Drive, Zenodo) and encouraging authors to publish them on the Hugging Face Hub. Initially, he performed this outreach manually. To scale, he first built a deterministic workflow using Python scripts and LLM APIs, triggered by nightly GitHub Actions cron jobs. This approach prioritized predictability and control, avoiding complex agent frameworks in favor of a simple, step-by-step pipeline that replicated his manual process: finding GitHub URLs, reading READMEs, checking for existing artifacts, and opening issues or pull requests.",[17,7194,7196],{"id":7195},"transitioning-to-autonomous-agent-loops","Transitioning to Autonomous Agent Loops",[22,7198,7199],{},"As the volume of papers increased, Rogge evolved his approach to a fully autonomous agent loop. Unlike the deterministic workflow, this system uses the Claude Agents SDK, a sandbox environment, and the Hugging Face CLI as its primary tool. The agent is deployed using Modal, which allows for massive parallelization by spinning up individual containers for each GitHub issue. This architecture allows the agent to handle follow-ups, documentation, and metadata tagging autonomously. Rogge notes that while he does not disclose the use of an agent to researchers, the outreach remains effective because the agent mimics his original, helpful tone, resulting in only two negative interactions out of thousands of issues.",[17,7201,7203],{"id":7202},"evaluation-and-best-practices","Evaluation and Best Practices",[22,7205,7206],{},"Rogge emphasizes that the choice between a deterministic workflow and an autonomous agent is not binary; they exist on a spectrum. His current setup leverages open models like Qwen 2.5, which he finds competitive with closed-source alternatives. He stresses the importance of observability and evaluation, recommending tools like Langfuse for tracing prompts, cost, and latency. To avoid generating \"slop,\" he points to Hamel Husain’s work on LLM evaluation as the gold standard for ensuring agent quality. His success demonstrates that modern agents can replace thousands of lines of custom code with simple, skill-based architectures.",{"title":79,"searchDepth":80,"depth":80,"links":7208},[7209,7210,7211],{"id":7188,"depth":80,"text":7189},{"id":7195,"depth":80,"text":7196},{"id":7202,"depth":80,"text":7203},[86],{"content_references":7214,"triage":7229},[7215,7219,7223,7226],{"type":7147,"title":7216,"author":7217,"url":7218,"context":96},"Building Effective Agents","Anthropic","https:\u002F\u002Fwww.anthropic.com\u002Fresearch\u002Fbuilding-effective-agents",{"type":7147,"title":7220,"author":7221,"url":7222,"context":96},"LLM Evals FAQ","Hamel Husain","https:\u002F\u002Fhamel.dev\u002Fblog\u002Fposts\u002Fevals\u002F",{"type":93,"title":7224,"url":7225,"context":96},"Langfuse","https:\u002F\u002Flangfuse.com\u002F",{"type":93,"title":7227,"url":7228,"context":96},"Modal","https:\u002F\u002Fmodal.com\u002F",{"relevance":103,"novelty":104,"quality":104,"actionability":104,"composite":7230,"reasoning":7231},4.35,"Category: AI Automation. The article provides a detailed account of automating community outreach using AI agents, which is highly relevant for product builders looking to implement AI in their workflows. It offers practical insights into transitioning from manual processes to automated systems, including specific tools and frameworks used, making it actionable for the audience.","\u002Fsummaries\u002F6a9e97f4c61c7030-automating-community-outreach-with-ai-agents-summary","2026-08-20 15:30:35","2026-08-21 03:12:28",{"title":7178,"description":79},{"loc":7232},"6a9e97f4c61c7030","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=FLUoowDJg4I","summaries\u002F6a9e97f4c61c7030-automating-community-outreach-with-ai-agents-summary",[119,7243,118,120],"automation","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FFLUoowDJg4I\u002Fhqdefault.jpg","Niels Rogge explains how he scaled his role at Hugging Face by replacing manual outreach with deterministic workflows and autonomous agents, successfully migrating research artifacts to the Hub at scale.","Niels Rogge explains how he scaled his outreach work at Hugging Face by moving from a deterministic, cron-job-based workflow to an autonomous agent loop. He demonstrates how he uses [Langfuse](https:\u002F\u002Flangfuse.com) for observability and the [Claude SDK](https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fanthropic-sdk-typescript) to manage GitHub interactions, emphasizing that the choice between a rigid workflow and an agentic loop depends on the predictability required for the task.",[],"WETB3PWRpZpR8TyGkzm17ESjgNdpqM1iulYbCd7vpe0",{"id":7250,"title":7251,"ai":7252,"body":7257,"categories":7300,"created_at":87,"date_modified":87,"description":79,"extension":88,"faq":87,"featured":89,"kicker_label":87,"meta":7301,"navigation":107,"path":7313,"published_at":7314,"question":87,"scraped_at":7314,"seo":7315,"sitemap":7316,"source_id":7317,"source_name":113,"source_type":114,"source_url":7318,"stem":7319,"tags":7320,"thumbnail_url":87,"tldr":7322,"tweet":87,"unknown_tags":7323,"__hash__":7324},"summaries\u002Fsummaries\u002Fb84eeafa7de4edcb-building-a-code-dataset-pipeline-with-nvidia-nemot-summary.md","Building a Code Dataset Pipeline with NVIDIA Nemotron Metadata",{"provider":7,"model":8,"input_tokens":7253,"output_tokens":7254,"processing_time_ms":7255,"cost_usd":7256},10469,529,2579,0.00341075,{"type":14,"value":7258,"toc":7295},[7259,7263,7273,7277,7284,7288],[17,7260,7262],{"id":7261},"efficient-dataset-exploration-via-streaming","Efficient Dataset Exploration via Streaming",[22,7264,7265,7266,7268,7269,7272],{},"Instead of downloading massive datasets, developers can use the Hugging Face ",[26,7267,28],{}," library in streaming mode to inspect schema and metadata. By loading the ",[26,7270,7271],{},"nvidia\u002FNemotron-Pretraining-Code-v3"," dataset as a stream, you can perform exploratory data analysis (EDA) on a manageable sample (e.g., 30,000 rows) without local storage constraints. This approach allows for rapid iteration when identifying dataset structures, such as repository frequency, file extensions, and directory nesting depth.",[17,7274,7276],{"id":7275},"metadata-to-source-reconstruction","Metadata-to-Source Reconstruction",[22,7278,7279,7280,7283],{},"Metadata indices often contain the necessary components—repository name, commit ID, and relative file path—to reconstruct raw GitHub URLs. By using ",[26,7281,7282],{},"urllib.parse.quote"," to handle path encoding, you can programmatically fetch source files from GitHub. The pipeline includes robust error handling to account for missing, deleted, or private repositories, ensuring the script remains resilient during execution.",[17,7285,7287],{"id":7286},"token-estimation-and-scaling","Token Estimation and Scaling",[22,7289,7290,7291,7294],{},"To understand the computational requirements for training or fine-tuning, the pipeline incorporates token estimation. By using ",[26,7292,7293],{},"tiktoken"," (or a character-based fallback), you can calculate the token density of your sample. This provides a baseline to extrapolate the scale of the full dataset, which in this case contains approximately 146 million files and 173 billion tokens, helping developers estimate the compute resources required for pretraining tasks.",{"title":79,"searchDepth":80,"depth":80,"links":7296},[7297,7298,7299],{"id":7261,"depth":80,"text":7262},{"id":7275,"depth":80,"text":7276},{"id":7286,"depth":80,"text":7287},[86],{"content_references":7302,"triage":7311},[7303,7306,7309],{"type":93,"title":7304,"url":7305,"context":99},"NVIDIA Nemotron-Pretraining-Code-v3","https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002Fnvidia\u002FNemotron-Pretraining-Code-v3",{"type":93,"title":7307,"url":7308,"context":99},"Hugging Face Datasets","https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Fdatasets",{"type":93,"title":7293,"url":7310,"context":99},"https:\u002F\u002Fgithub.com\u002Fopenai\u002Ftiktoken",{"relevance":103,"novelty":104,"quality":104,"actionability":104,"composite":7230,"reasoning":7312},"Category: AI & LLMs. The article provides a detailed guide on building a dataset pipeline specifically for AI applications, addressing practical challenges like dataset exploration and token estimation, which are relevant to developers working with LLMs. It offers actionable insights on using streaming data and error handling, making it highly applicable for the target audience.","\u002Fsummaries\u002Fb84eeafa7de4edcb-building-a-code-dataset-pipeline-with-nvidia-nemot-summary","2026-06-10 12:57:05",{"title":7251,"description":79},{"loc":7313},"b84eeafa7de4edcb","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F06\u002F09\u002Fbuilding-a-code-dataset-pipeline-from-nvidia-nemotron-pretraining-code-v3-metadata-with-streaming-pandas-and-tiktoken\u002F","summaries\u002Fb84eeafa7de4edcb-building-a-code-dataset-pipeline-with-nvidia-nemot-summary",[120,7321,121,118],"ai-tools","A practical guide to streaming, analyzing, and sampling large-scale code metadata from NVIDIA's Nemotron-Pretraining-Code-v3 dataset without downloading the entire multi-gigabyte archive.",[],"fKhAM6tFAHNtHgwVUSTXsxQSQEUqcY9AeEdgcRD9PBo",{"id":7326,"title":7327,"ai":7328,"body":7333,"categories":7415,"created_at":87,"date_modified":87,"description":79,"extension":88,"faq":87,"featured":89,"kicker_label":87,"meta":7416,"navigation":107,"path":7426,"published_at":7427,"question":87,"scraped_at":7428,"seo":7429,"sitemap":7430,"source_id":7431,"source_name":7432,"source_type":7239,"source_url":7433,"stem":7434,"tags":7435,"thumbnail_url":7436,"tldr":7437,"tweet":7438,"unknown_tags":7439,"__hash__":7440},"summaries\u002Fsummaries\u002Fbe57ea2d00dc5205-building-multi-agent-systems-with-google-s-adk-summary.md","Building Multi-Agent Systems with Google's ADK",{"provider":7,"model":8,"input_tokens":7329,"output_tokens":7330,"processing_time_ms":7331,"cost_usd":7332},6507,551,3055,0.00245325,{"type":14,"value":7334,"toc":7410},[7335,7339,7342,7346,7349,7375,7379,7382],[17,7336,7338],{"id":7337},"the-agent-development-kit-adk-framework","The Agent Development Kit (ADK) Framework",[22,7340,7341],{},"ADK is a Python framework designed to abstract the boilerplate code required to build LLM-based agents. An agent is defined as an LLM running in a loop with access to tools. ADK provides a consistent interface for defining agents, equipping them with tools, and managing their execution flow. Key features include a CLI for local testing and a built-in web interface that provides a visual stack trace, which is critical for debugging agent reasoning and tool usage.",[17,7343,7345],{"id":7344},"equipping-agents-with-tools","Equipping Agents with Tools",[22,7347,7348],{},"Agents are inherently limited by their training data cutoff. ADK allows developers to extend these capabilities by passing Python functions as tools.",[45,7350,7351,7361],{},[48,7352,7353,7356,7357,7360],{},[51,7354,7355],{},"Deterministic Tools:"," Simple functions, such as a ",[26,7358,7359],{},"get_current_time"," utility, allow the model to access real-time data.",[48,7362,7363,7366,7367,7370,7371,7374],{},[51,7364,7365],{},"Built-in Tools:"," ADK includes pre-built tools like Google Search. When using search, developers can set ",[26,7368,7369],{},"bypass_multiple_tools_limit"," to ",[26,7372,7373],{},"true",", enabling the agent to perform multiple sequential searches to compile comprehensive answers.",[17,7376,7378],{"id":7377},"architecting-multi-agent-systems","Architecting Multi-Agent Systems",[22,7380,7381],{},"To improve accuracy and reduce hallucinations, developers can move beyond single-agent setups to multi-agent orchestrations. This involves using an \"LLM as a judge\" pattern:",[45,7383,7384,7398,7404],{},[48,7385,7386,7389,7390,7393,7394,7397],{},[51,7387,7388],{},"Specialization:"," Create single-purpose agents (e.g., a ",[26,7391,7392],{},"URLVerifier"," agent equipped with a ",[26,7395,7396],{},"fetch_url"," tool) to validate outputs from other agents.",[48,7399,7400,7403],{},[51,7401,7402],{},"Orchestration:"," Equip a primary \"Researcher\" agent with other agents as tools. The orchestrator delegates tasks to the search agent, then passes the results to the verifier agent to confirm accuracy.",[48,7405,7406,7409],{},[51,7407,7408],{},"Strategic Advantages:"," This modular approach allows for better performance management. Developers can assign cheaper, faster models to simple tasks and more advanced, reasoning-heavy models to complex orchestration tasks, optimizing both latency and cost.",{"title":79,"searchDepth":80,"depth":80,"links":7411},[7412,7413,7414],{"id":7337,"depth":80,"text":7338},{"id":7344,"depth":80,"text":7345},{"id":7377,"depth":80,"text":7378},[86],{"content_references":7417,"triage":7424},[7418,7421],{"type":93,"title":7419,"url":7420,"context":96},"Agent Development Kit (ADK)","https:\u002F\u002Fadk.dev",{"type":93,"title":7422,"url":7423,"context":96},"Google AI Studio","https:\u002F\u002Faistudio.google.com\u002F",{"relevance":103,"novelty":104,"quality":104,"actionability":104,"composite":7230,"reasoning":7425},"Category: AI & LLMs. The article provides a detailed overview of the Agent Development Kit (ADK) for building multi-agent systems, addressing the audience's need for practical tools in AI development. It offers actionable insights on architecting multi-agent systems and optimizing performance, which are directly applicable to developers looking to implement AI features.","\u002Fsummaries\u002Fbe57ea2d00dc5205-building-multi-agent-systems-with-google-s-adk-summary","2026-06-08 19:00:05","2026-06-09 12:58:02",{"title":7327,"description":79},{"loc":7426},"be57ea2d00dc5205","Google Cloud Tech","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=0Z0GUDakR_A","summaries\u002Fbe57ea2d00dc5205-building-multi-agent-systems-with-google-s-adk-summary",[7321,119,120,118],"https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F0Z0GUDakR_A\u002Fhqdefault.jpg","The Agent Development Kit (ADK) simplifies building, testing, and orchestrating multi-agent systems, allowing developers to chain specialized agents together to reduce hallucinations and manage costs.","This is a practical, step-by-step introduction to the [Agent Development Kit](https:\u002F\u002Fgoo.gle\u002F-ai-studio), a framework for building and testing LLM-based agents. The video demonstrates how to define agents, equip them with custom functions or built-in tools like Google Search, and orchestrate multi-agent systems to verify information and reduce hallucinations.",[],"pq_NLqexHw4Zwo_ZXTNCmjaMBJzMKUwS5pgNaAmECbE"]