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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HOUTINI_LM_MODELNoPin the model to use. On a big catalogue every unknown model scores the same and the first listed wins, so pin one (for example gpt-5.2). Can also be passed as the `model` parameter on an individual call.
HOUTINI_LM_API_KEYNoAPI key for the endpoint, if the endpoint needs one (for example an OpenAI key like sk-...).
HOUTINI_LM_THINKINGNoControls thinking/reasoning. `auto` (default) switches thinking off for models detected as supporting the toggle (Qwen3, Gemma 4, Nemotron, DeepSeek R1, GLM-4, gpt-oss). `off` forces that on every call. `on` forces thinking on, at the cost of time and tokens.auto
HOUTINI_LM_SERIALISENoCalls are queued one at a time by default, because a single GPU can only serve one request anyway. OpenRouter skips the queue, and for OpenAI, a router or a batching backend like vLLM you can turn it off with HOUTINI_LM_SERIALISE=0.1
HOUTINI_LM_MIN_TOKENSNoMinimum output token floor. MCP clients habitually pass tiny caps like 256 that strangle reasoning models mid-thought, so anything under 4,096 is ignored unless you set HOUTINI_LM_MIN_TOKENS=0.4096
HOUTINI_LM_STRUCTUREDNoSet HOUTINI_LM_STRUCTURED=1 and each inference result also carries a structuredContent block (the answer, model, tokens, timing, quality flags) to read as JSON. Leave it off for Claude Code, which shows the model only that block when it's present.0
HOUTINI_LM_ENDPOINT_URLNoThe URL of the OpenAI-compatible endpoint to delegate to (LM Studio, Ollama, vLLM, SGLang, a LiteLLM router, or a cloud API such as OpenAI). LM Studio listens on localhost:1234 by default, which is where houtini-lm looks first.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