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EXTENSIONS

Built by operatives — models, drivers, vaults, and reports, the parts that plug into Swamp.

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7 results
label:llm

Terraform Scanner

@figura/terraform-scanner · v2026.07.21.1

LLM-powered Terraform code quality scanner. Analyzes repositories (local or GitLab remote) for naming convention consistency, internal module usage patterns, code organization, and Terraform best practices. Uses LiteLLM-compatible API for intelligent pattern detection and produces structured findings with severity, suggestions, and agent-consumable output.

upd Jul 230 pullsA100/100

Scaleway Inference

@sntxrr/scaleway-inference · v2026.07.19.1

Manage a Scaleway Managed Inference deployment — sync state, create, update, and delete dedicated model serving deployments, and discover deployments in a region, via the Managed Inference API with X-Auth-Token auth.

upd Jul 190 pullsA100/100

Ollama

@keeb/ollama · v2026.07.18.1

Ollama LLM integration (generate, batch generate, unload)

upd Jul 1823 pullsA100/100

Anthropic

@keeb/anthropic · v2026.07.18.1

Generate text with Anthropic's Claude models via the Messages API from swamp workflows.

upd Jul 1842 pullsA100/100

Meeting Summarizer

@mgreten/meeting-summarizer · v2026.07.16.1

Chunk a Whisper transcript and summarize it into a Granola-style meeting note via a local Ollama LLM. Handles long recordings with greedy segment-boundary chunking and an LLM merge pass. Pure TypeScript — no Python, no subprocess. Also provides combine_notes (merge handwritten + analysis) and write_note (write markdown to disk) for full pipeline workflows.

upd Jul 1614 pullsA100/100

Llm Catalog

@stateless/llm-catalog · v2026.06.23.1

A sourced, versioned knowledge base of LLM-ops knowledge — NOT a control plane for running models, but the structured, CEL-queryable record that running extensions read to decide which model to run where, with what settings, at what cost. Six subject kinds (model, runtime, provider, hardware, technique, endpoint), all the same uniform `entry` shape (open kind + open facets, like @stateless/inventory); a model's run-options embed on the model in runsOn[] keyed by endpoint, and capacity/plan answer "what to run where" over them. The twist: it records external, decaying knowledge, so every volatile assertion carries a provenance envelope (asOf, source, versionPins, supersededBy) — "best vLLM version" is derived as the latest un-superseded claim, never a bare rotting field. Declarative: `apply` materialises one `entry` resource per id (re-run = versioned trend); `prune` soft-retires undeclared entries.

upd Jun 230 pullsA100/100

Openrouter

@sntxrr/openrouter · v2026.06.20.1

Chat completions and model catalog listing against the OpenRouter LLM gateway API

upd Jun 202 pullsA100/100