{"date": "2025-08-10", "concept": "realtime graphql-gateway service", "summary": "A service that can generate and manage log files with a focus on realtime graphql-gateway.", "tags": ["graphql-gateway", "realtime", "service"], "theme": "observability", "slug": "realtime-graphql-gateway-service", "repo_name": "realtime-graphql-gateway-service-2025-08-10", "source": "offline", "ai_summary": {"text": "The realtime graphql-gateway service generates and manages structured, real-time logs and metrics for every GraphQL operation across the gateway, delivering instant observability into traffic, latency, and errors. By centralizing log pipelines, retention, and live analysis, it shortens MTTR and improves reliability.", "examples": ["Action 1: Configure the realtime graphql-gateway service to stream JSON logs to a Kafka topic with fields operationName, traceId, resolverPath, latencyMs, and upstreamStatus, and set retention to 7 days.", "Action 2: Enable live tailing in the realtime graphql-gateway service and add a filter for operationName='GetUser' AND latencyMs>200 to investigate spikes in resolver latency.", "Action 3: Create an alert in the realtime graphql-gateway service that triggers when upstreamStatus starts with '5' and errorRate>0.02 over 5 minutes, and auto-attach the last 100 request/response log entries for the affected operation."], "source": "azure", "generated_at": "2025-08-17T16:53:47.541837Z"}}
{"date": "2025-08-11", "concept": "privacy-first search agent", "summary": "A agent that can summarize and manage log files with a focus on privacy-first search.", "tags": ["agent", "privacy-first", "search"], "theme": "productivity", "slug": "privacy-first-search-agent", "repo_name": "privacy-first-search-agent-2025-08-11", "source": "offline", "ai_summary": {"text": "A privacy-first search agent securely indexes, summarizes, and manages log files entirely on-device, enabling fast, natural-language search without sending data off your machine. It boosts productivity by delivering precise summaries and enforcing redaction and retention policies to minimize risk.", "examples": ["Action 1: Configure the privacy-first search agent to index system and application logs locally, apply PII redaction (emails, IPs, tokens), and generate a daily summary of top errors and anomalies.", "Action 2: Use the privacy-first search agent to run a natural-language query across encrypted log archives (e.g., 'show auth failures by host last 24h') and return an on-device summary with trend charts and timestamps.", "Action 3: Set the privacy-first search agent to enforce a 30-day retention policy, auto-anonymize IP addresses on ingest, and export a sanitized incident report for a specified timeframe and service."], "source": "azure", "generated_at": "2025-08-17T16:53:59.696357Z"}}
{"date": "2025-08-12", "concept": "federated audio-transcribe extension", "summary": "A extension that can monitor and manage email with a focus on federated audio-transcribe.", "tags": ["audio-transcribe", "extension", "federated"], "theme": "ml", "slug": "federated-audio-transcribe-extension", "repo_name": "federated-audio-transcribe-extension-2025-08-12", "source": "offline", "ai_summary": {"text": "A extension that can monitor and manage email with a focus on federated audio-transcribe. It aligns to the ml theme; touching audio-transcribe, extension, federated.", "examples": ["Ship a tiny federated audio-transcribe extension prototype end-to-end (README + demo)", "Integrate federated audio-transcribe extension into an existing repo and add basic metrics", "Instrument federated audio-transcribe extension and capture before/after results for one workflow"], "source": "offline", "generated_at": "2025-08-17T16:54:19.795234Z"}}
{"date": "2025-08-13", "concept": "quantum notes extension", "summary": "A extension that can scrape and manage terminal sessions with a focus on quantum notes.", "tags": ["extension", "notes", "quantum"], "theme": "security", "slug": "quantum-notes-extension", "repo_name": "quantum-notes-extension-2025-08-13", "source": "offline", "ai_summary": {"text": "Quantum notes extension securely scrapes and organizes terminal sessions into structured, encrypted quantum notes that capture commands, outputs, and quantum-specific context. It enforces role-based access, secret redaction, and tamper-evident audit trails for secure, reproducible quantum workflows.", "examples": ["Action 1: Install the quantum notes extension on your terminal, enable SSH/tmux session capture, and configure AES-256 storage encryption with your team's KMS key to automatically save Qiskit job runs as encrypted quantum notes with circuit metadata and seed parameters.", "Action 2: Use the quantum notes extension to scrape a live session, auto-redact API tokens and private keys from outputs, then tag the resulting quantum note with backend ID, qubit count, and shot settings before pushing it to a Git repo with signed commits.", "Action 3: Set up role-based access control in the quantum notes extension to restrict viewing of sensitive measurement outputs, and enable tamper-evident audit logs that link each quantum note to its originating commands and timestamps for compliance review."], "source": "azure", "generated_at": "2025-08-17T16:54:31.899012Z"}}
{"date": "2025-08-14", "concept": "privacy-first graphql-gateway extension", "summary": "A extension that can generate and manage api responses with a focus on privacy-first graphql-gateway.", "tags": ["extension", "graphql-gateway", "privacy-first"], "theme": "data", "slug": "privacy-first-graphql-gateway-extension", "repo_name": "privacy-first-graphql-gateway-extension-2025-08-14", "source": "offline", "ai_summary": {"text": "A privacy-first GraphQL gateway extension that generates and manages API responses with built-in data minimization, consent-aware resolvers, and auditability. It helps teams enforce least-privilege access and redaction at the gateway without changing backend services.", "examples": ["Install and register the privacy-first graphql-gateway extension, then annotate PII fields with @redact to enable automatic field-level masking in responses.", "Define consent scopes (e.g., email.read, profile.basic) and bind them to resolvers so the privacy-first graphql-gateway extension conditionally resolves fields based on user consent tokens.", "Configure per-service data minimization policies and enable response filtering so the privacy-first graphql-gateway extension strips nonessential fields and emits privacy audit events to your logging pipeline."], "source": "azure", "generated_at": "2025-08-17T16:54:40.155442Z"}}
{"date": "2025-08-15", "concept": "zero-trust secrets-rotator agent", "summary": "A agent that can generate and manage rss feeds with a focus on zero-trust secrets-rotator.", "tags": ["agent", "secrets-rotator", "zero-trust"], "theme": "devtools", "slug": "zero-trust-secrets-rotator-agent", "repo_name": "zero-trust-secrets-rotator-agent-2025-08-15", "source": "offline", "ai_summary": {"text": "A devtools-focused zero-trust secrets-rotator agent that generates and manages signed RSS feeds while continuously rotating feed keys and access tokens with least-privilege, ephemeral credentials. It reduces blast radius and automates secret hygiene across your pipelines and subscribers without downtime.", "examples": ["Action 1: Deploy the zero-trust secrets-rotator agent in GitHub Actions to generate a signed RSS feed of release events, rotate the feed-signing key via AWS KMS every 24h, and publish a JWKS endpoint so subscribers auto-refresh keys.", "Action 2: Configure the zero-trust secrets-rotator agent to issue per-subscriber, time-scoped tokens for RSS access (JWT exp=15m), auto-rotate on anomaly detection, and revoke credentials via a SIEM alert webhook.", "Action 3: Use the zero-trust secrets-rotator agent to rotate credentials for RSS webhook integrations (S3 object writes and Slack notifications) via HashiCorp Vault AppRole, with pre-rotation validation and post-rotation smoke tests to ensure no feed downtime."], "source": "azure", "generated_at": "2025-08-17T16:54:56.794622Z"}}
{"date": "2025-08-16", "concept": "privacy-first scheduler sdk", "summary": "A sdk that can monitor and manage config files with a focus on privacy-first scheduler.", "tags": ["privacy-first", "scheduler", "sdk"], "theme": "automation", "slug": "privacy-first-scheduler-sdk", "repo_name": "privacy-first-scheduler-sdk-2025-08-16", "source": "offline", "ai_summary": {"text": "A privacy-first scheduler SDK that monitors and manages local scheduling config files on-device, enforcing encryption, least-privilege access, and zero telemetry. It automates compliant job execution while preserving user data privacy with policy-driven controls and auditable actions.", "examples": ["Use the privacy-first scheduler sdk to watch a local YAML/JSON config directory, validate schedules against a privacy policy schema, and hot-reload jobs without sending any data off-device.", "Initialize the privacy-first scheduler sdk with a hardware-backed key to encrypt schedule configs and secrets at rest, then run cron-like jobs with per-job consent prompts and sandboxed execution.", "Integrate the privacy-first scheduler sdk to produce signed local-only audit logs, enforce least-privilege access to environment variables, and automatically rollback config changes that violate privacy rules."], "source": "azure", "generated_at": "2025-08-17T16:55:05.002179Z"}}
{"date": "2025-08-17", "concept": "temporal audio-transcribe webapp", "summary": "A webapp that can generate and manage terminal sessions with a focus on temporal audio-transcribe.", "tags": ["audio-transcribe", "temporal", "webapp"], "theme": "observability", "slug": "temporal-audio-transcribe-webapp", "repo_name": "temporal-audio-transcribe-webapp-2025-08-17", "source": "offline", "ai_summary": {"text": "A webapp that spins up and manages terminal sessions to run temporal audio-transcribe pipelines, producing time-aligned transcripts with built-in observability of logs, metrics, and traces. It centralizes execution, monitoring, and artifact management so teams can reliably operate and audit transcription workflows.", "examples": ["Create a new managed terminal session in the temporal audio-transcribe webapp, upload an MP3, and run a time-aligned transcription job that streams word-level timestamps to the session console and saves SRT/VTT artifacts.", "Enable observability in the temporal audio-transcribe webapp by attaching OpenTelemetry to the session, then view real-time logs, traces, and CPU/memory metrics for the running transcription pipeline.", "Schedule a recurring temporal audio-transcribe webapp workflow that spins up a terminal session nightly, pulls audio from S3, transcribes with diarization, and posts a summary plus transcript links to Slack."], "source": "azure", "generated_at": "2025-08-17T16:55:57.991279Z"}}
{"date": "2025-08-18", "concept": "temporal graphql-gateway extension", "summary": "A extension that can classify and manage api responses with a focus on temporal graphql-gateway.", "tags": ["extension", "graphql-gateway", "temporal"], "theme": "productivity", "slug": "temporal-graphql-gateway-extension", "repo_name": "temporal-graphql-gateway-extension-2025-08-18", "source": "azure"}
{"date": "2025-08-19", "concept": "quantum scheduler extension", "summary": "A extension that can normalize and manage browser history with a focus on quantum scheduler.", "tags": ["extension", "quantum", "scheduler"], "theme": "ml", "slug": "quantum-scheduler-extension", "repo_name": "quantum-scheduler-extension-2025-08-19", "source": "azure"}
{"date": "2025-08-20", "concept": "streaming secrets-rotator cli", "summary": "A cli that can scrape and manage rss feeds with a focus on streaming secrets-rotator.", "tags": ["cli", "secrets-rotator", "streaming"], "theme": "security", "slug": "streaming-secrets-rotator-cli", "repo_name": "streaming-secrets-rotator-cli-2025-08-20", "source": "azure", "ai_summary": {"text": "A CLI that securely scrapes and manages RSS feeds while continuously rotating and streaming the secrets (API keys, tokens) used by fetchers and consumers to minimize exposure and downtime. It centralizes feed orchestration, rotation policy enforcement, and audit visibility for security-focused pipelines.", "examples": ["Action 1: Initialize the streaming secrets-rotator cli workspace, register an RSS feed endpoint, and attach a rotation policy that streams zero-downtime key updates to the feed fetcher.", "Action 2: Use streaming secrets-rotator cli to scrape a feed on a schedule with least-privilege credentials, streaming rotations to switch API tokens every 24 hours with automatic rollback on failure.", "Action 3: Configure streaming secrets-rotator cli to emit rotation events to consumers via webhooks or Kafka, verify fetchers reload secrets live, and generate an audit report for the last 10 rotations."], "source": "azure", "generated_at": "2025-08-20T17:44:19.574377Z"}}
{"date": "2025-08-21", "concept": "privacy-first secrets-rotator extension", "summary": "A extension that can normalize and manage screenshots with a focus on privacy-first secrets-rotator.", "tags": ["extension", "privacy-first", "secrets-rotator"], "theme": "data", "slug": "privacy-first-secrets-rotator-extension", "repo_name": "privacy-first-secrets-rotator-extension-2025-08-21", "source": "azure", "ai_summary": {"text": "The privacy-first secrets-rotator extension automatically normalizes and manages screenshots by detecting and redacting sensitive data, while securely rotating any exposed credentials. This prevents leaks and supports compliance without sending data off-device.", "examples": ["Use the privacy-first secrets-rotator extension to scan a batch of screenshots, auto-redact API tokens, and rotate any leaked keys in your secrets manager.", "Configure the privacy-first secrets-rotator extension to deterministically anonymize emails and names in screenshots before sharing, while logging all rotation events to your SIEM.", "Trigger the privacy-first secrets-rotator extension via CLI to strip EXIF/GPS metadata, normalize file naming, and rotate OAuth client secrets detected in on-screen text."], "source": "azure", "generated_at": "2025-08-21T07:30:22.142775Z"}}
{"date": "2025-08-22", "concept": "ambient audio-transcribe webapp", "summary": "A webapp that can transcode and manage terminal sessions with a focus on ambient audio-transcribe.", "tags": ["ambient", "audio-transcribe", "webapp"], "theme": "devtools", "slug": "ambient-audio-transcribe-webapp", "repo_name": "ambient-audio-transcribe-webapp-2025-08-22", "source": "azure", "ai_summary": {"text": "This devtools-focused ambient audio-transcribe webapp manages and records terminal sessions, transcodes session artifacts, and passively captures ambient audio to produce time-aligned transcripts and summaries. It helps developers document workflows, generate searchable session logs, and automate post-session notes and captions.", "examples": ["Action 1: Configure the ambient audio-transcribe webapp to auto-start transcription on new terminal sessions and attach time-aligned captions to each command and output block.", "Action 2: Use the ambient audio-transcribe webapp to transcode a ttyrec/asciinema recording into an MP4 with burned-in captions generated from the ambient transcript and export a markdown summary.", "Action 3: Integrate the ambient audio-transcribe webapp with your SSH session manager to track multiple terminals, tag transcripts with git branch/commit metadata, and index them for full-text search."], "source": "azure", "generated_at": "2025-08-22T07:27:38.734666Z"}}
{"date": "2025-08-23", "concept": "ambient graphql-gateway sdk", "summary": "A sdk that can normalize and manage rss feeds with a focus on ambient graphql-gateway.", "tags": ["ambient", "graphql-gateway", "sdk"], "theme": "automation", "slug": "ambient-graphql-gateway-sdk", "repo_name": "ambient-graphql-gateway-sdk-2025-08-23", "source": "azure", "ai_summary": {"text": "An SDK that automates ingestion, normalization, and management of RSS feeds, exposing them through an ambient GraphQL gateway for consistent querying and orchestration. It abstracts schema mapping, deduplication, and real-time updates to streamline automation workflows.", "examples": ["Initialize the ambient graphql-gateway sdk, register https://example.com/rss.xml as a FeedSource, map title/link/pubDate to a FeedItem schema, and publish normalized nodes to the GraphQL gateway.", "Configure the ambient graphql-gateway sdk to poll every 5 minutes, deduplicate by guid+link, backfill the last 500 items, and expose a GraphQL subscription feedItemsUpdated for downstream automation.", "Use the ambient graphql-gateway sdk to enrich normalized feedItems via a webhook pipeline, persist them to a cache, and add a GraphQL resolver search(text:) for querying aggregated RSS content."], "source": "azure", "generated_at": "2025-08-23T07:25:32.444175Z"}}
{"date": "2025-08-24", "concept": "temporal image-annotator service", "summary": "A service that can synchronize and manage browser history with a focus on temporal image-annotator.", "tags": ["image-annotator", "service", "temporal"], "theme": "observability", "slug": "temporal-image-annotator-service", "repo_name": "temporal-image-annotator-service-2025-08-24", "source": "azure", "ai_summary": {"text": "A temporal image-annotator service that synchronizes browser history with time-aware image annotations, enabling playback and auditing of image interactions over time. It improves observability by correlating annotation events with browsing timelines for debugging, compliance, and user insights.", "examples": ["Configure the temporal image-annotator service to ingest browser history events and attach time-synced image annotations, storing them with a 30-day retention policy", "Enable OpenTelemetry tracing in the temporal image-annotator service to emit spans for annotation creation, edits, and replay, correlated to browser history timestamps", "Schedule a nightly job in the temporal image-annotator service to export per-user, time-sliced annotation timelines to S3 and trigger a webhook when anomalies are detected"], "source": "azure", "generated_at": "2025-08-24T07:26:21.528484Z"}}
{"date": "2025-08-25", "concept": "minimal feature-flags cli", "summary": "A cli that can index and manage github issues with a focus on minimal feature-flags.", "tags": ["cli", "feature-flags", "minimal"], "theme": "productivity", "slug": "minimal-feature-flags-cli", "repo_name": "minimal-feature-flags-cli-2025-08-25", "source": "azure", "ai_summary": {"text": "A lightweight command-line tool that indexes and manages GitHub issues with minimal, declarative feature flags to control workflows and views. It improves productivity by letting teams toggle behaviors and experiments around issue triage without heavy config or code changes.", "examples": ["Action 1: Initialize a repository and index all open GitHub issues into a local cache using the minimal feature-flags cli, then list them filtered by label 'bug' and milestone 'v1.0'.", "Action 2: Define a feature flag 'auto-triage' with the minimal feature-flags cli that automatically labels new issues as 'triage' and hides them from the default list until reviewed.", "Action 3: Use the minimal feature-flags cli to roll out a percentage-based flag 'beta-priority' that surfaces only a subset of 'enhancement' issues in the Next Up queue, then export the active flag state to .flags.json for CI."], "source": "azure", "generated_at": "2025-08-25T07:29:36.209954Z"}}
{"date": "2025-08-26", "concept": "semantic secrets-rotator cli", "summary": "A cli that can synchronize and manage terminal sessions with a focus on semantic secrets-rotator.", "tags": ["cli", "secrets-rotator", "semantic"], "theme": "ml", "slug": "semantic-secrets-rotator-cli", "repo_name": "semantic-secrets-rotator-cli-2025-08-26", "source": "azure", "ai_summary": {"text": "A command-line tool that synchronizes and manages terminal sessions while using ML-driven semantic analysis to discover, classify, and rotate secrets in real time. It reduces exposure by coordinating context-aware rotations consistently across shells, tmux panes, and remote hosts.", "examples": ["Action 1: Initialize a workspace and set a semantic rotation policy with providers by running: semantic-secrets-rotator init --session-group dev --providers aws,github --policy semantic-embedding --rotation-interval 24h", "Action 2: Perform a context-aware dry-run rotation for production-labeled sessions using ML similarity scoring: semantic-secrets-rotator rotate --match session=prod --strategy ml-similarity --dry-run --report json", "Action 3: Synchronize secrets state across tmux panes and SSH hosts, enforcing rekeying for stale contexts: semantic-secrets-rotator sync --tmux --ssh inventory.yaml --enforce --rekey"], "source": "azure", "generated_at": "2025-08-26T07:29:03.041136Z"}}
{"date": "2025-08-27", "concept": "privacy-first graphql-gateway cli", "summary": "A cli that can index and manage github issues with a focus on privacy-first graphql-gateway.", "tags": ["cli", "graphql-gateway", "privacy-first"], "theme": "security", "slug": "privacy-first-graphql-gateway-cli", "repo_name": "privacy-first-graphql-gateway-cli-2025-08-27", "source": "azure", "ai_summary": {"text": "A cli that can index and manage github issues with a focus on privacy-first graphql-gateway. It aligns to the security theme; touching cli, graphql-gateway, privacy-first.", "examples": ["Ship a tiny privacy-first graphql-gateway cli prototype end-to-end (README + demo)", "Integrate privacy-first graphql-gateway cli into an existing repo and add basic metrics", "Instrument privacy-first graphql-gateway cli and capture before/after results for one workflow"], "source": "offline", "generated_at": "2025-08-27T07:27:13.446829Z"}}
{"date": "2025-08-28", "concept": "ambient audio-transcribe webapp (1)", "summary": "A webapp that can transcode and manage pdfs with a focus on ambient audio-transcribe.", "tags": ["ambient", "audio-transcribe", "webapp"], "theme": "data", "slug": "ambient-audio-transcribe-webapp-1", "repo_name": "ambient-audio-transcribe-webapp-1-2025-08-28", "source": "azure", "ai_summary": {"text": "ambient audio-transcribe webapp (1) is a data-focused web app that captures ambient audio, transcribes it, and manages the resulting documents by transcoding transcripts into searchable PDFs. It streamlines ingestion, transcription, and PDF lifecycle management for organization, analysis, and sharing.", "examples": ["Action 1: Use ambient audio-transcribe webapp (1) to upload a 60-minute WAV ambient recording, auto-transcribe it, and export a timestamped, searchable PDF with speaker diarization and section bookmarks.", "Action 2: Configure ambient audio-transcribe webapp (1) to batch transcode 50 existing PDFs into PDF/A, link each to its source audio and transcript, and tag them by project, location, and capture date.", "Action 3: Set up a real-time capture pipeline in ambient audio-transcribe webapp (1) that records ambient audio via the browser, performs live transcription, and archives nightly summaries as versioned PDFs with embedded metadata and access controls."], "source": "azure", "generated_at": "2025-08-28T07:28:00.269697Z"}}
{"date": "2025-08-29", "concept": "quantum audio-transcribe webapp", "summary": "A webapp that can visualize and manage pdfs with a focus on quantum audio-transcribe.", "tags": ["audio-transcribe", "quantum", "webapp"], "theme": "devtools", "slug": "quantum-audio-transcribe-webapp", "repo_name": "quantum-audio-transcribe-webapp-2025-08-29", "source": "azure", "ai_summary": {"text": "A devtools-focused webapp that visualizes and manages PDFs while synchronizing them with audio transcripts, optimized for quantum-related content. It enables developers and researchers to align, search, and annotate transcripts against PDF sections via API, CLI, and real-time views.", "examples": ["Upload a quantum research PDF and lecture audio to the quantum audio-transcribe webapp, auto-align transcript timestamps to PDF headings, and render a side-by-side waveform/PDF viewer with clickable segments.", "Use the quantum audio-transcribe webapp API to stream audio for real-time transcription, auto-tag quantum terms (e.g., qubit, entanglement), and write annotations back into the managed PDF via PATCH /pdfs/{id}/annotations.", "Add a CI step that invokes the quantum audio-transcribe webapp CLI to batch transcribe new audio assets, update linked PDFs, and export a summarized JSON index for search and retrieval."], "source": "azure", "generated_at": "2025-08-29T07:27:48.669162Z"}}
{"date": "2025-08-30", "concept": "semantic feature-flags extension", "summary": "A extension that can classify and manage api responses with a focus on semantic feature-flags.", "tags": ["extension", "feature-flags", "semantic"], "theme": "automation", "slug": "semantic-feature-flags-extension", "repo_name": "semantic-feature-flags-extension-2025-08-30", "source": "azure", "ai_summary": {"text": "An extension that classifies and manages API responses using semantic feature flags, enabling automated, intent-aware toggling and routing. It reduces manual rule maintenance by interpreting response meaning and applying consistent feature controls across services.", "examples": ["Action 1: Configure the semantic feature-flags extension to classify API responses into intents (e.g., 'pricing', 'auth_error') and automatically toggle flags that route requests to the appropriate service version.", "Action 2: Attach the semantic feature-flags extension middleware to your API client to enable the 'recommendations' flag when response entities include 'product' and 'in_stock' attributes.", "Action 3: Define rollout rules in the semantic feature-flags extension to gate the 'smart_retry' feature when response sentiment is negative and latency exceeds 500ms."], "source": "azure", "generated_at": "2025-08-30T07:24:12.455177Z"}}
{"date": "2025-08-31", "concept": "fuzzy observability sdk", "summary": "A sdk that can normalize and manage terminal sessions with a focus on fuzzy observability.", "tags": ["fuzzy", "observability", "sdk"], "theme": "observability", "slug": "fuzzy-observability-sdk", "repo_name": "fuzzy-observability-sdk-2025-08-31", "source": "azure", "ai_summary": {"text": "The fuzzy observability sdk normalizes and manages terminal sessions, capturing imprecise signals (commands, prompts, timings, exit states) and turning them into queryable fuzzy telemetry for faster troubleshooting and trend analysis. It unifies disparate shell behaviors and correlates noisy session data into actionable insights.", "examples": ["Action 1: Install and initialize the fuzzy observability sdk to wrap Bash/Zsh terminal sessions and enable normalization of prompts, timestamps, and exit codes.", "Action 2: Configure fuzzy match rules in the fuzzy observability sdk to convert semi-structured command outputs into fuzzy spans and metrics, and export them to your observability backend.", "Action 3: Integrate the fuzzy observability sdk into CI runners to stream anonymized session telemetry and query the fuzzy session index for anomalous workflows and flaky steps."], "source": "azure", "generated_at": "2025-08-31T07:25:18.061837Z"}}