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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HOUTINI_LM_MODELNoPin a specific model to use. Without it, houtini-lm scores each available model against the task type and picks the best.
HOUTINI_LM_API_KEYNoAPI key for the endpoint, if it requires one (e.g. OpenAI, OpenRouter, DeepSeek, Groq).
HOUTINI_LM_THINKINGNoControls thinking/reasoning for models that support it: auto (default, thinking off for detected models), off (force off everywhere), or on (force on, e.g. for bug-hunting).auto
HOUTINI_LM_SERIALISENoSet to 0 to turn off the default serialised (one-at-a-time) call queue. Worth doing for OpenAI, a LiteLLM router, or a batching backend like vLLM.1
HOUTINI_LM_MIN_TOKENSNoMinimum output-token floor for calls. Set to 0 to disable the default floor of 4,096 tokens.4096
HOUTINI_LM_STRUCTUREDNoSet to 1 to include a structuredContent block (answer, model, tokens, timing, quality flags) in each inference result. Leave off for Claude Code, which shows the model only that block when present.0
HOUTINI_LM_ENDPOINT_URLNoThe URL of the OpenAI-compatible endpoint to delegate to (LM Studio, Ollama, vLLM, SGLang, a LiteLLM router, OpenAI, OpenRouter, etc.). Defaults to LM Studio on http://localhost:1234.http://localhost:1234

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources