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97 entities · script
Hugging Face Transformers Training Script
by Hugging Face
The Hugging Face Transformers training script simplifies the process of training and fine-tuning transformer models for various NLP tasks. It provides a high-level API and pre-built training loops, enabling users to quickly adapt pre-trained models to their specific datasets and objectives.
PyTorch Image Classification Script
by PyTorch
A Python script using PyTorch for training and evaluating image classification models. It provides a modular structure for defining datasets, models, training loops, and evaluation metrics, enabling researchers and practitioners to quickly prototype and deploy image classification solutions.
TensorFlow Model Garden
by Google
The TensorFlow Model Garden is a repository containing a collection of example implementations for state-of-the-art (SOTA) machine learning models and modeling solutions for TensorFlow. It provides a wide variety of models, pre-trained weights, and scripts to help users quickly prototype and deploy TensorFlow-based AI solutions.
TensorFlow Model Optimization Toolkit Script
by Google
The TensorFlow Model Optimization Toolkit script provides tools and techniques to optimize TensorFlow models for deployment, including quantization, pruning, and clustering. It reduces model size and improves inference speed, making models more suitable for edge devices and resource-constrained environments.
Scikit-learn Model Evaluation Script
by Scikit-learn
A Python script leveraging scikit-learn to comprehensively evaluate machine learning models. It calculates various performance metrics (e.g., accuracy, precision, recall, F1-score, AUC) and generates visualizations (e.g., confusion matrices, ROC curves) to provide insights into model behavior and facilitate informed decision-making.
LangChain Expression Language (LCEL) Script
by LangChain
LCEL is a declarative way to compose chains of language models and other primitives in LangChain. This script demonstrates how to use LCEL to build complex AI pipelines with features like streaming, parallel execution, and retry mechanisms, enabling developers to create robust and scalable AI applications.
Stable Diffusion XL Turbo Inference Script
by Stability AI
This script provides a streamlined method for performing image generation using Stable Diffusion XL Turbo. It leverages optimized inference techniques to achieve faster generation speeds, making it suitable for real-time applications and interactive experiences.
Speech-to-Text Pipeline
by OpenAI
Production-grade ASR pipeline using OpenAI Whisper or faster-whisper with VAD-based chunking, speaker timestamp alignment, and SRT/VTT subtitle export. Handles long-form audio via sliding window segmentation and automatic language detection.
Object Detection Setup
by Ultralytics
Bootstraps a production-ready object detection workflow using YOLOv8 or RT-DETR, including webcam/video stream ingestion, NMS post-processing, and annotation overlay rendering. Outputs annotated frames and a structured JSON detections log suitable for downstream analytics.
Feature Importance Analyzer
by Community
Analyzes feature importance for scikit-learn compatible models using multiple advanced techniques. It computes SHAP values with Tree and Kernel Explainers, calculates permutation importance, and performs feature selection with Boruta. Results are compiled into an interactive HTML dashboard for easy interpretation and sharing.
REST AI API Template
by Community
Production-ready FastAPI template for AI-powered REST APIs, with pre-wired OpenAI/Anthropic client, async streaming endpoints, JWT authentication, rate limiting, structured logging, and OpenAPI docs. Includes Docker Compose stack with Redis rate-limit store and Prometheus metrics.
Fraud Detection Pipeline
by Community
This is a complete machine learning pipeline for detecting fraudulent transactions in real-time. It employs a hybrid approach, using XGBoost or LightGBM for classification and an Isolation Forest for anomaly detection. The system is specifically designed to handle severely imbalanced datasets through SMOTE-Tomek resampling and cost-sensitive learning.
Image Classification Pipeline
by Community
End-to-end image classification pipeline that handles dataset loading, preprocessing, model inference, and result export using PyTorch and torchvision. Supports batch inference against any Hugging Face ViT or ResNet checkpoint with configurable confidence thresholds.
Model Fine-Tuning (LoRA)
by AaaS
This script automates the process of fine-tuning large language models using Low-Rank Adaptation (LoRA). It provides an end-to-end workflow, from preparing custom datasets to training lightweight adapters and merging them into a base model for efficient deployment. This enables domain-specific model specialization with significantly reduced computational costs.
OCR Pipeline Script
by Community
This script provides a sophisticated OCR pipeline that intelligently routes documents to the most suitable engine—Tesseract, PaddleOCR, or a cloud API—based on image quality analysis. It processes various document types and outputs structured JSON containing text sorted by reading order, complete with bounding box coordinates and confidence scores for each word or line.
Image Segmentation Script
by Meta AI
Runs Segment Anything Model (SAM 2) or Mask2Former on image batches, producing per-pixel segmentation masks with class labels and confidence scores. Includes utilities for mask overlay visualization and RLE-encoded mask export compatible with COCO annotation format.
Data Quality Checker
by Great Expectations
Automates data quality testing for tabular data using the Great Expectations library. This script profiles datasets to generate and validate 'Expectations' covering schema, statistical properties, and referential integrity. It produces a comprehensive HTML report (Data Docs) and can be integrated into CI/CD pipelines as a quality gate to prevent bad data from entering production systems.
PII Redaction Pipeline
by Microsoft
An automated pipeline that leverages Microsoft Presidio to identify and remove personally identifiable information (PII) from text and structured data. It supports configurable entity recognizers for GDPR and HIPAA compliance and features a reversible pseudonymization capability with a secure vault for authorized re-identification.
Basic RAG Pipeline
by AaaS
This script provides a foundational Retrieval-Augmented Generation (RAG) pipeline. It handles core tasks like loading documents, splitting text into chunks, generating embeddings, and indexing them into a vector store. It includes a basic query interface, making it ideal for learning the RAG workflow and prototyping simple applications.
Speaker Diarization Script
by pyannote
This script automates the process of creating turn-by-turn transcripts from multi-speaker audio files. It first uses the pyannote.audio library to perform speaker diarization, identifying who spoke and when. These speaker segments are then aligned and merged with a transcription generated by OpenAI's Whisper, producing a final text output that attributes each line of dialogue to a specific speaker.
Chatbot Builder Script
by Community
This script generates a production-ready chatbot foundation using Rasa for structured dialogue and an LLM for open-ended fallback. It provides a unified channel adapter for deploying to Web, WhatsApp, and Slack, and includes built-in conversation analytics and a Streamlit-based testing environment for rapid development.
Neo4j RAG Pipeline
by Neo4j
Implements a GraphRAG pattern that stores document entities and relationships in Neo4j, then retrieves contextually relevant subgraphs at query time before passing them to an LLM. Includes automatic entity extraction with spaCy, relationship inference, and a Cypher query generator.
Visual Search Engine
by Community
This script provides a complete framework for building a multimodal visual search engine. It uses CLIP to generate image and text embeddings, which are indexed in a vector database like Qdrant or Weaviate for efficient similarity search. The system supports both text-to-image and image-to-image queries and includes a FastAPI server for API access.
Serverless Model Deploy
by Community
Packages a trained ML model into a serverless function on AWS Lambda, Modal, or Google Cloud Run, handling cold-start optimization, dependency layering, and auto-scaling configuration. Includes health-check endpoints, structured logging, and a GitHub Actions workflow for automated rollout.
Recommendation Engine Setup
by Community
This script provides a complete setup for a modern, two-stage recommendation engine. It uses a two-tower neural network for efficient candidate retrieval and a powerful Large Language Model (LLM) for nuanced re-ranking. The system integrates with a Feast feature store to leverage real-time user context, ensuring timely and relevant suggestions.
Edge Model Optimization
by Community
Optimizes PyTorch and TensorFlow models for edge hardware by applying INT8/FP16 quantization and converting them to ONNX or TFLite formats. This script provides platform-specific tuning for ARM and NPU targets, benchmarking latency and memory usage while generating a report on accuracy trade-offs.
Model Serving (vLLM)
by AaaS
This script automates the deployment of a large language model using the vLLM inference engine. It creates a high-throughput, OpenAI-compatible API endpoint. Key features like PagedAttention and continuous batching are configured to maximize performance and memory efficiency, making it suitable for production environments.
WebSocket Streaming API
by Community
WebSocket server that proxies token-by-token LLM streaming to multiple simultaneous clients, with connection lifecycle management, heartbeat keep-alives, and per-session context persistence. Supports fan-out broadcasting for collaborative AI sessions and reconnection with message replay.
Automated Feature Engineering
by Alteryx
Applies Deep Feature Synthesis via Featuretools and AutoFeat to automatically generate hundreds of candidate features from relational tabular data, then prunes them using mutual information and SHAP-based importance filters. Produces a reproducible feature pipeline serializable to scikit-learn format.
Sentiment Dashboard
by Community
Ingests social media feeds, reviews, and support tickets in near-real-time, scores sentiment at entity and aspect level using a fine-tuned RoBERTa model, and renders a live Streamlit dashboard with trend charts, topic clustering, and configurable alert thresholds for brand-crisis detection.
Data Cleaning Script
by AaaS
Cleans and normalizes text data for LLM consumption by removing HTML artifacts, fixing encoding issues, standardizing whitespace, deduplicating near-identical entries, and filtering low-quality content based on configurable quality heuristics.
Voice Cloning Setup
by Coqui
Sets up a zero-shot voice cloning pipeline using Coqui XTTS-v2 or Tortoise-TTS, requiring only a 3-second reference audio clip to synthesize new speech in the target voice. Includes a FastAPI inference server, audio quality normalization, and speaker embedding export for reuse.
Document Ingestion Pipeline
by AaaS
Automated pipeline for ingesting documents from multiple sources (files, URLs, APIs) into a vector store. Handles format detection, text extraction, chunking, deduplication, metadata enrichment, and incremental updates for growing knowledge bases.
Dataset Preparation
by AaaS
Prepares datasets for LLM fine-tuning by converting raw data into instruction-following, conversation, or completion formats. Handles data cleaning, deduplication, train/val/test splitting, tokenization analysis, and quality filtering.
Web Scraping Pipeline
by AaaS
Automated web scraping pipeline with configurable crawl depth, content extraction, and rate limiting. Converts web content into clean text documents suitable for embedding and RAG ingestion with support for dynamic JavaScript-rendered pages.
Tool Calling Setup
by AaaS
Sets up a tool-calling agent with typed tool definitions, argument validation, error handling, and execution sandboxing. Includes example tools for web search, calculator, file operations, and database queries with a pluggable tool registry.
Batch Embedding Generation
by AaaS
Generates embeddings at scale for large document collections with batching, rate limiting, checkpointing, and error recovery. Supports multiple embedding providers (OpenAI, Cohere, local models) with automatic dimension detection and output format selection.
Temporal Feature Builder
by Community
Generates comprehensive temporal features from time-series data including rolling statistics, lag features, Fourier transforms, and calendar encodings using tsfresh and custom transformers. Handles irregular time series with forward-fill interpolation and produces a point-in-time-correct feature matrix to prevent leakage.
RAG Pipeline Setup
by AaaS
End-to-end setup script for deploying a production RAG pipeline. Provisions vector database, configures document ingestion, sets up embedding generation, and creates retrieval endpoints.
Advanced RAG Pipeline
by AaaS
Production-grade RAG pipeline with hybrid search, reranking, contextual compression, and multi-index routing. Includes query decomposition, metadata filtering, evaluation metrics, and performance monitoring for enterprise deployments.
Model A/B Testing
by Community
Implements statistically rigorous A/B and shadow-mode testing for competing ML model versions behind a feature flag router, logging predictions and latencies to a data warehouse for significance testing. Automatically computes sample size requirements and stops experiments when significance thresholds are met.
Graph Embedding Generator
by Community
Generates node and edge embeddings for knowledge graphs using Node2Vec, TransE, or a GNN (via PyTorch Geometric), then indexes them in a vector store for similarity search and link prediction. Includes training scripts, evaluation on standard link-prediction benchmarks, and a REST API for embedding lookup.
Financial Report Parser
by Community
Parses SEC filings, earnings call transcripts, and annual reports using FinBERT for sentiment analysis and a table-extraction pipeline that converts HTML/XBRL financial statements into normalized pandas DataFrames. Exports structured financial metrics to a database and generates LLM-ready summaries for investor Q&A.
Clinical NLP Pipeline
by Community
Processes unstructured clinical notes using medspaCy and BioClinicalBERT to extract diagnoses, medications, procedures, and lab values, then maps entities to ICD-10 and SNOMED-CT codes. Outputs FHIR-compatible JSON bundles and includes a de-identification step compliant with HIPAA Safe Harbor.
Feature Store Sync
by Feast
Synchronizes feature definitions and materialized feature values between offline (BigQuery/Snowflake) and online (Redis/DynamoDB) feature stores using Feast or Tecton, with configurable freshness SLAs and backfill scheduling. Includes drift monitoring to alert when online and offline distributions diverge.
PDF Extraction Pipeline
by AaaS
Specialized pipeline for extracting structured content from PDF documents including text, tables, images, and metadata. Supports OCR for scanned documents, layout analysis for complex formats, and chunking optimized for PDF document structures.
Docker ML Deployment
by AaaS
Containerizes ML models and inference servers with optimized Docker images for production deployment. Includes multi-stage builds for minimal image size, GPU support configuration, health checks, and docker-compose setups for full inference stacks.
Canary Deployment ML
by Community
Orchestrates progressive canary deployments of ML model services on Kubernetes using Istio traffic shifting, with automated rollback triggered by error-rate or latency SLO breaches. Integrates with Argo Rollouts for declarative release management and posts deployment status to Slack.
Model Evaluation Harness
by AaaS
Comprehensive model evaluation script that runs models against standard benchmarks including MMLU, HumanEval, GSM8K, and custom evaluation sets. Produces detailed reports with per-category breakdowns, confidence intervals, and comparison charts.
GGUF Conversion
by AaaS
Converts Hugging Face model weights to GGUF format for use with llama.cpp and compatible inference engines. Supports multiple quantization levels (Q4_K_M, Q5_K_M, Q8_0), validates output integrity, and generates model cards with performance characteristics.
Music Generation Script
by Meta AI
Generates royalty-free music from text prompts using Meta's MusicGen or AudioCraft, with controls for tempo, key, duration, and genre conditioning. Provides a CLI for batch generation and a streaming mode that writes 30-second chunks to disk or an S3 bucket.
Face Recognition Setup
by Community
Configures a face recognition system using InsightFace or DeepFace, supporting gallery enrollment, real-time identification against a FAISS vector store, and liveness detection. Designed with privacy-first defaults and includes GDPR-compliant consent logging.
Model Comparison Script
by AaaS
Side-by-side model comparison script that runs identical prompts through multiple LLM APIs and presents results in a structured format. Measures response quality, latency, token usage, and cost per query with automated scoring via LLM judges.
Knowledge Graph Builder
by Community
Automatically constructs a knowledge graph from unstructured text by extracting subject-predicate-object triples using an LLM, then serializing them to RDF/OWL or property-graph formats. Supports ontology alignment, duplicate merging via entity resolution, and Turtle/JSON-LD export.
Knowledge Base Builder
by AaaS
End-to-end script for building a searchable knowledge base from heterogeneous sources including documents, APIs, databases, and web content. Orchestrates ingestion, deduplication, embedding, indexing, and creates a unified query interface across all sources.
Legal Document Analyzer
by Community
Analyzes legal contracts and court documents using a fine-tuned LegalBERT model for clause classification, obligation extraction, and risk-flag detection, with outputs cross-referenced against a configurable playbook of standard clause definitions. Generates a redline-ready Word document and a structured JSON risk register.
Multi-Agent Orchestration
by AaaS
Orchestrates multiple specialized AI agents in coordinated workflows with task routing, state management, and result aggregation. Implements supervisor and swarm patterns with configurable agent selection logic and inter-agent communication.
Model Quantization (GPTQ)
by AaaS
Quantizes language models using GPTQ for efficient inference on consumer hardware. Performs calibration-based quantization, quality evaluation against the original model, and exports in formats compatible with vLLM, llama.cpp, and other inference engines.
Entity Linking Script
by Community
Disambiguates named entities in text by linking them to canonical Wikidata or custom knowledge base entries, using a bi-encoder retriever followed by a cross-encoder reranker. Handles multi-lingual input via mBERT and outputs entity URIs with confidence scores for downstream graph population.
Cost Calculator
by AaaS
Calculates and projects LLM API costs based on usage patterns, model pricing, and workload forecasts. Compares costs across providers and models, identifies the most cost-effective configuration for a given quality threshold, and generates budget reports.
Hallucination Detector
by AaaS
Detects hallucinated content in LLM outputs by cross-referencing claims against source documents and knowledge bases. Uses claim decomposition, source attribution scoring, and consistency checking to flag unsupported or fabricated statements.
Hybrid Search Setup
by AaaS
Configures a hybrid search system combining dense vector similarity with sparse BM25 keyword matching. Sets up dual index creation, score fusion strategies, and query routing logic for optimal retrieval across different query types.
Prompt Testing Suite
by AaaS
Automated testing framework for prompt engineering with test case management, assertion-based evaluation, regression detection, and A/B comparison. Validates prompt outputs against expected patterns, formats, and quality criteria with CI/CD integration.
MCP Server Template
by AaaS
Template for building Model Context Protocol (MCP) servers that expose tools, resources, and prompts to MCP-compatible clients. Includes typed tool handlers, resource providers, error handling, and transport configuration for stdio and HTTP modes.
LLM Load Testing
by AaaS
Load tests LLM API endpoints with configurable concurrency, request patterns, and duration. Measures throughput, latency percentiles (p50/p95/p99), time-to-first-token, error rates, and generates performance reports with degradation alerts.
CSV to Embeddings
by AaaS
Converts CSV data into vector embeddings with configurable column selection, text template formatting, and metadata extraction. Outputs to popular vector stores or file formats with chunking support for large CSV files that exceed memory limits.
Audio Classification Setup
by Community
Configures an audio classification system using Audio Spectrogram Transformer (AST) or YAMNet fine-tuned on AudioSet, with Mel spectrogram feature extraction and batch inference. Exports per-clip predictions with top-5 class probabilities and integrates with a streaming event bus for real-time use.
Document Classification
by AaaS
Classifies documents into predefined categories using LLM-based inference with configurable taxonomies. Supports batch processing, multi-label classification, confidence thresholds, and exports results to CSV or database with audit trails.
Data Lineage Tracker
by OpenLineage
Instruments ETL and ML pipelines with OpenLineage events, shipping dataset-level provenance metadata to a Marquez or Apache Atlas backend. Generates interactive lineage DAGs showing data transformations from source to model artifact, supporting impact analysis and audit trails.
Cost Optimization Script
by AaaS
Analyzes LLM API usage patterns and identifies cost optimization opportunities. Recommends model downgrades for simple tasks, prompt compression strategies, caching opportunities, and batch processing windows based on historical usage data and cost metrics.
GraphQL AI Gateway
by Community
GraphQL gateway for multi-model AI services built with Strawberry Python, exposing query, mutation, and subscription resolvers for chat, embedding, and image generation endpoints across multiple LLM providers. Features a DataLoader-based batching layer and persisted query caching to minimize token usage.
Supply Chain Optimizer
by Community
Combines ML demand forecasting (Prophet + LightGBM) with constraint-based optimization (Google OR-Tools) to minimize inventory costs while meeting service-level targets across a multi-echelon supply chain. Outputs replenishment orders, safety stock recommendations, and a scenario simulation dashboard.
Safety Audit Script
by AaaS
Comprehensive safety audit for LLM-powered applications testing for prompt injection vulnerabilities, PII leakage, harmful content generation, and policy violations. Generates detailed audit reports with severity ratings and remediation recommendations.
Entity Extraction Pipeline
by AaaS
Extracts named entities and relationships from unstructured text at scale using LLM-powered NER with custom entity type support. Outputs structured data with entity linking, relationship graphs, and confidence scores for knowledge graph construction.
Monitoring Setup (Grafana)
by AaaS
Sets up Grafana dashboards and Prometheus metrics for LLM application monitoring. Includes pre-built dashboards for token usage, latency, error rates, cost tracking, and model performance with configurable alert rules and notification channels.
Model Benchmarking Suite
by AaaS
Performance benchmarking suite measuring LLM inference throughput, latency percentiles, time-to-first-token, and tokens-per-second under various load patterns. Generates detailed performance reports with charts for capacity planning and SLA validation.
LLM Regression Testing
by AaaS
Detects regressions in LLM behavior across model updates, prompt changes, or configuration modifications. Runs golden test sets, compares outputs using semantic similarity and LLM judges, and flags significant quality degradation with detailed diff reports.
Agent Evaluation Framework
by AaaS
Evaluates AI agent performance across defined test scenarios with success criteria, step tracking, and automated scoring. Supports custom evaluation rubrics, regression detection, and generates detailed reports comparing agent versions over time.
Annotation Pipeline
by AaaS
Automated data annotation pipeline using LLMs for labeling, classification, and quality scoring of training data. Implements multi-annotator consensus, confidence thresholds, human review queuing for uncertain samples, and annotation analytics.
Token Usage Analyzer
by AaaS
Analyzes token usage patterns across LLM applications to identify optimization opportunities. Tracks input/output token ratios, identifies verbose prompts, detects unnecessary context, and recommends prompt engineering improvements for cost reduction.
CI/CD ML Pipeline
by AaaS
CI/CD pipeline for machine learning models with automated testing, evaluation, registry management, and staged deployment. Runs benchmark suites, compares against baseline metrics, and promotes models through staging environments with approval gates.
Bias Detection Script
by AaaS
Detects demographic and topical biases in LLM outputs by running structured test prompts across protected categories. Measures response quality disparities, sentiment differences, and representation gaps with statistical significance testing and bias scorecards.
Rate Limiter Setup
by AaaS
Configures intelligent rate limiting for LLM API proxies with per-user, per-model, and per-endpoint limits. Implements token bucket, sliding window, and adaptive rate limiting algorithms with Redis-backed distributed state and graceful degradation.
Agent Deployment Script
by AaaS
Deploys AI agents as production services with health checks, graceful shutdown, error recovery, and monitoring integration. Supports Docker and Kubernetes deployments with configurable scaling, environment management, and rollback capabilities.
Red Teaming Script
by AaaS
Automated red teaming toolkit that generates and tests adversarial prompts against LLM applications. Covers jailbreak attempts, prompt injection variants, social engineering patterns, and boundary probing with categorized attack vectors and success tracking.
Latency Benchmarking
by AaaS
Benchmarks LLM API latency across providers, models, and prompt sizes with detailed statistical analysis. Measures time-to-first-token, inter-token latency, total response time, and generates comparison reports with confidence intervals and percentile distributions.
Kubernetes Model Serving
by AaaS
Deploys and manages LLM inference workloads on Kubernetes with GPU scheduling, auto-scaling based on queue depth, rolling updates, and canary deployments. Generates Helm charts and Kustomize configurations for reproducible deployments.
Energy Forecast Script
by Community
Forecasts electricity demand and renewable generation (solar/wind) using Temporal Fusion Transformer or N-HiTS via NeuralForecast, with weather feature integration and probabilistic intervals for grid balancing. Outputs 24-hour and 7-day ahead forecasts in an InfluxDB-compatible format.
API Gateway Configuration
by AaaS
Configures an API gateway for LLM inference endpoints with provider routing, rate limiting, authentication, request/response logging, and failover between multiple LLM providers. Includes usage tracking and cost allocation by API key.
Multi-Source RAG
by AaaS
RAG pipeline that queries multiple specialized vector indexes and merges results with intelligent routing. Implements source-aware retrieval with automatic query classification, per-source relevance scoring, and citation tracking across diverse knowledge domains.
A/B Testing Framework
by AaaS
Framework for A/B testing different LLM configurations including models, prompts, temperatures, and system instructions. Runs controlled experiments with statistical significance testing, effect size calculation, and automated winner selection.
Agent Monitoring Dashboard
by AaaS
Sets up a monitoring dashboard for AI agent systems tracking task completion rates, error rates, latency, token usage, and cost. Integrates with Prometheus for metrics collection and Grafana for visualization with pre-built alert rules.
Consent Management Script
by Community
Implements a GDPR-compliant consent management layer that records per-user data processing consents in an append-only ledger, enforces purpose limitation at the data access layer, and generates DSAR (data subject access request) reports on demand. Supports consent propagation to downstream ML training pipelines.
Model Merging
by AaaS
Merges multiple fine-tuned model checkpoints using strategies like SLERP, TIES, DARE, and linear interpolation. Enables combining specialized model capabilities without additional training, with automated quality validation against benchmark suites.
Vector DB Migration
by AaaS
Migrates vector data between different vector database providers (Pinecone, Weaviate, Chroma, Qdrant, Milvus). Handles schema mapping, batch transfers, index recreation, metadata preservation, and validation with rollback support.
Agent Testing Harness
by AaaS
Testing harness for AI agents with mock tool providers, simulated user interactions, and deterministic replay capabilities. Enables unit testing of agent logic, integration testing of tool chains, and end-to-end testing of complete agent workflows.
A2A Communication Setup
by AaaS
Configures Agent-to-Agent (A2A) communication infrastructure with message routing, capability discovery, and protocol compliance. Sets up agent registries, message queues, and typed message schemas for reliable inter-agent collaboration.