Mintplex-Labs/anything-llm · error · Error
LMStudio chat: ${this.model} is not valid or defined model f
Error message
LMStudio chat: ${this.model} is not valid or defined model for chat completion! What it means
Thrown by LMStudioLLM.getChatCompletion when `this.model` is falsy at call time. This is a defensive re-check — the constructor already throws (error 232) if no model is set, so reaching this point with a falsy model is only possible if `this.model` was deleted or set to null/undefined after construction. The message interpolates this.model (which would be undefined/null/empty), producing a confusingly worded error.
Source
Thrown at server/utils/AiProviders/lmStudio/index.js:233
/**
* Parses and prepends reasoning from the response and returns the full text response.
* Used for getChatCompletions to render thinking text if present in full response.
* @param {Object} message - The message object from the LMStudio response.
* @returns {string}
*/
#parseReasoningFromResponse({ message }) {
let textResponse = message?.content ?? "";
if (
!!message?.reasoning_content &&
message.reasoning_content.trim().length > 0
)
textResponse = `<think>${message.reasoning_content}</think>${textResponse}`;
return textResponse;
}
async getChatCompletion(messages = null, { temperature = 0.7 }) {
if (!this.model)
throw new Error(
`LMStudio chat: ${this.model} is not valid or defined model for chat completion!`
);
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.lmstudio.chat.completions.create({
model: this.model,
messages,
temperature,
})
);
if (
!result.output.hasOwnProperty("choices") ||
result.output.choices.length === 0
)
return null;
return {View on GitHub (pinned to 526360e320)
Solutions
- Do not mutate `this.model` on the provider instance after construction — create a new provider with a different model instead.
- If you see this error, investigate what code path deleted or nulled the model property after the constructor ran.
- Re-instantiate the provider with the correct model preference to restore a valid state.
Example fix
// before — mutating model after construction (causes the error) const llm = new LMStudioLLM(embedder, model); llm.model = null; // don't do this await llm.getChatCompletion(messages); // after — create a new instance instead const llm = new LMStudioLLM(embedder, newModel); await llm.getChatCompletion(messages);
Defensive patterns
Strategy: type-guard
Validate before calling
function ensureModelSet(provider) {
if (!provider.model || typeof provider.model !== 'string') {
throw new Error('Provider model is not set — re-instantiate with a valid model.');
}
return true;
}
// Before calling getChatCompletion:
ensureModelSet(lmstudioProvider);
const result = await lmstudioProvider.getChatCompletion(messages); Type guard
/** @param {object} provider @returns {provider is { model: string, getChatCompletion: Function }} */
function hasValidModel(provider) {
return (
typeof provider === 'object' &&
provider !== null &&
typeof provider.model === 'string' &&
provider.model.trim().length > 0
);
} Try / catch
try {
const result = await lmstudioProvider.getChatCompletion(messages, { temperature: 0.7 });
} catch (e) {
if (e.message.includes('not valid or defined model')) {
// Model was mutated post-construction; re-instantiate the provider.
console.error('LMStudio model is missing — re-create the provider with a valid model.');
} else {
throw e;
}
} Prevention
- Never mutate `this.model` on a provider instance after construction.
- If you need a different model, construct a new provider instance.
- Treat provider instances as immutable after construction.
When it happens
Trigger: Calling `lmstudioProvider.getChatCompletion(messages, { temperature })` after the provider was successfully constructed but `this.model` was subsequently mutated to a falsy value. In normal usage, this branch is unreachable because the constructor guarantees a truthy model.
Common situations: Code that manually clears or reassigns the model property on the provider instance after construction. A subclass or middleware that nullifies model properties. In practice, this error is rarely seen because the constructor guard catches the real problem earlier.
Related errors
- LMStudio must have a valid model set.
- LocalAI chat: ${this.model} is not valid for chat completion
- LocalAi chat: ${this.model} is not valid for chat completion
- LMStudio service could not be reached. Is LMStudio running?
- LMStudio Failed to embed: ${Array.from(uniqueErrors).join(",
AI-assisted analysis of Mintplex-Labs/anything-llm@526360e320 (2026-08-13).
Data as JSON: /api/errors/2cf8a5e33af8e6e2.
Report an issue: GitHub.