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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, useful when the server lists many models that all score the same in routing.
HOUTINI_LM_API_KEYNoAPI key for the endpoint, if the endpoint requires one.
HOUTINI_LM_THINKINGNoControls thinking: 'auto' (default, thinking off for models detected as supporting the toggle), 'off' (force off), or 'on' (force on).
HOUTINI_LM_SERIALISENoSet to 0 to turn off serialisation (queuing one call at a time). Default is on for a single GPU; OpenRouter skips the queue.
HOUTINI_LM_MIN_TOKENSNoSet to 0 to allow tiny token caps under 4,096 to be honoured; by default caps under 4,096 are ignored.
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.
HOUTINI_LM_ENDPOINT_URLNoURL of the OpenAI-compatible endpoint (LM Studio, Ollama, vLLM, SGLang, LiteLLM router, OpenAI, etc.). Defaults to http://localhost:1234 (LM Studio).

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