Houtini LM
by Somchai2984
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| HOUTINI_LM_MODEL | No | Pin the model you want, because OpenAI lists dozens and they all score the same in routing. On a big catalogue every unknown model scores the same and the first listed wins, so pin one with HOUTINI_LM_MODEL. | |
| HOUTINI_LM_API_KEY | No | API key, if the endpoint needs one (e.g. sk-... for OpenAI). | |
| HOUTINI_LM_THINKING | No | Thinking is your decision, through HOUTINI_LM_THINKING. The default, auto, 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, which you need when a backend serves a thinking model under a name detection can't recognise. on forces thinking on, which is worth it for bug-hunting or checking an argument, at the cost of time and tokens. | |
| HOUTINI_LM_SERIALISE | No | Calls 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. | |
| HOUTINI_LM_MIN_TOKENS | No | There's a floor too, because 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. | |
| HOUTINI_LM_STRUCTURED | No | If you're driving houtini-lm from your own scripts rather than from Claude, set 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. | |
| HOUTINI_LM_ENDPOINT_URL | No | The URL of the OpenAI-compatible endpoint, e.g. http://192.168.1.50:1234 (LM Studio), https://api.openai.com, or a LiteLLM router. LM Studio listens on localhost:1234 by default, which is where houtini-lm looks first. |
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
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues