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Use these functions if you're writing a package that extends ellmer and need to customise methods for various types of content. For normal use, see content_image_url() and friends. ellmer abstracts away differences in the way that different Providers represent various types of content, allowing you to more easily write code that works with any chatbot. This set of classes represents types of content that can be either sent to and received from a provider: ContentText: simple text (often in markdown format). Text streams yield only text and thinking content, while content streams can also yield annotations such as citations and web activity. ContentCitation: provider-supplied evidence metadata associated with generated text. Citations are preserved in conversation history but are not sent back to providers. ContentImageRemote and ContentImageInline: images, either as a pointer to a remote URL or included inline in the object. See content_image_file() and friends for convenient ways to construct these objects. ContentToolRequest: a request to perform a tool call (sent by the assistant). ContentToolResult: the result of calling the tool (sent by the user). This object is automatically created from the value returned by calling the tool() function. Alternatively, expert users can return a ContentToolResult from a tool() function to include additional data or to customize the display of the result.

Spatial Data Science: With Applications in R (source files) - edzer/sdsr

A template dashboard system with AI agent integrated. Comes with default themes that can be customized. Developers can upload modified templates on Github, and users can easily download templates with RStudio project wizard. The key features of the default template include light and dark theme switcher, resizing graphs, synchronizing inputs across sessions, new notification system, fancy progress bars, and card-like flip panels with back sides, as well as various of HTML tool widgets.

Inspired by Sweave, the knitr package was designed to be a transparent engine for dynamic report generation with R, and combine features in other add-on packages into one package (knitr ≈ Sweave + …

The knitr package uses a special object to control options and settings (denoted as obj below); it has the following methods: […] These objects are visible to users in knitr: […] Except …

We can use any languages in knitr, including but not limited to R. Here are some simple demos with Python, Awk, Ruby, Haskell, Bash, Perl, Graphviz, TikZ, SAS, Scala, and CoffeeScript, etc: […] …

Discover innovative ways to utilize vacant land, from community gardens to unique events, maximizing its potential for creativity and community engagement.

Daily scanner for rural land listings with land-grade scoring (slope, soil, water, timber, septic/well) - chrishuffman5/landfinder

A MapLibre GL plugin for accessing FEMA web map services - opengeos/maplibre-gl-fema-wms

Contribute to josephmisiti/mathandpencil-demos development by creating an account on GitHub.

Download issue here Executive Summary FEMA’s flood maps have long been the foundation of how Americans understand and manage flood risk. They shape where communities build, how they insure, and how they prepare. Yet, outdated methodologies and persistent gaps have left millions of homeowners vulnerable, exposing them to significant risks that maps fail to capture. […]

Contribute to AndrianovAL/GIS development by creating an account on GitHub.

Cleans dependencies and build artifacts from your projects. - tbillington/kondo

The IndividualClaimsSimulator may be used for developing and back-testing individual claims reserving methods in non-life insurance - actuarial-data-science/PackageIndividualClaimsSimulator

Thierry Moudiki's personal webpage, Data Science, Statistics, Machine Learning, Deep Learning, Simulation, Optimization.

Thierry Moudiki's personal webpage, Data Science, Statistics, Machine Learning, Deep Learning, Simulation, Optimization.

Controlling schema evolution and validating data

Provides a simple, configurable framework for OpenID Connect (OIDC) authentication and OAuth 2.0 authorization in shiny applications using S7 classes. Defines providers, clients, and tokens, as well as various supporting functions and a shiny module. Features include cross-site request forgery (CSRF) protection, state encryption, Proof Key for Code Exchange (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval for OIDC and supported OAuth providers, asynchronous flows, and hooks for audit logging.

Data processing pipeline for MBTA Communities Act compliance analysis using targets and DuckDB

Description I've been working on this project which demonstrates how to build reproducible data pipelines using Docker for isolated environments, DuckDB for fast, in-process SQL analytics, and {tar...

Instant Queries By Default

Make FEMA Flood Maps Cloud-Native: a GeoParquet + DuckDB pipeline (CNG Forum 2026 workshop)

Learn about the various flows used for authentication and authorization of applications and APIs.

R Programmer | Data Scientist | Cognitive Neuroscientist

Easy interactive web applications with R

Easy interactive web applications with R