{"record":{"id":"bf462b55b86eef85","repo":"Mintplex-Labs/anything-llm","slug":"e-message-bf462b","errorCode":null,"errorMessage":"e.message","messagePattern":"e\\.message","errorType":"exception","errorClass":"Error","httpStatus":null,"severity":"error","filePath":"server/utils/AiProviders/mistral/index.js","lineNumber":124,"sourceCode":"      },\n    ];\n  }\n\n  async getChatCompletion(messages = null, { temperature = 0.7 }) {\n    if (!(await this.isValidChatCompletionModel(this.model)))\n      throw new Error(\n        `Mistral chat: ${this.model} is not valid for chat completion!`\n      );\n\n    const result = await LLMPerformanceMonitor.measureAsyncFunction(\n      this.openai.chat.completions\n        .create({\n          model: this.model,\n          messages,\n          temperature,\n        })\n        .catch((e) => {\n          throw new Error(e.message);\n        })\n    );\n\n    if (\n      !result.output.hasOwnProperty(\"choices\") ||\n      result.output.choices.length === 0\n    )\n      return null;\n\n    return {\n      textResponse: result.output.choices[0].message.content,\n      metrics: {\n        prompt_tokens: result.output.usage.prompt_tokens || 0,\n        completion_tokens: result.output.usage.completion_tokens || 0,\n        total_tokens: result.output.usage.total_tokens || 0,\n        outputTps: result.output.usage.completion_tokens / result.duration,\n        duration: result.duration,\n        model: this.model,","sourceCodeStart":106,"sourceCodeEnd":142,"githubUrl":"https://github.com/Mintplex-Labs/anything-llm/blob/526360e320da9d1b36074be5ed64fe76e5bbfbbd/server/utils/AiProviders/mistral/index.js#L106-L142","documentation":"Same info-loss re-wrap as the Minimax equivalent: .catch((e) => { throw new Error(e.message); }) discards the OpenAI client's structured error (status, type, retry-after) and rethrows a plain Error. Unlike Minimax, on a *successful* call with no choices Mistral returns null rather than throwing (see getChatCompletion body), so this catch is strictly for upstream transport/API errors.","triggerScenarios":"Any HTTP-level failure from the Mistral chat completion call: 401, 429, 400, network timeout, or 5xx — each flattened to its message string.","commonSituations":"Invalid/expired Mistral key; rate limiting on the Mistral plan; malformed messages payload; transient Mistral outage; inability to branch on status in the caller because only the string survives.","solutions":["Read the message — upstream status/detail is embedded in the text.","For auth-related text, verify/regenerate MISTRAL_API_KEY.","For rate-limit text, add backoff/retry and reduce concurrency.","For diagnosis, log the original error object before re-wrapping."],"exampleFix":"// before\n.catch((e) => {\n  throw new Error(e.message);\n})\n\n// after\n.catch((e) => {\n  const err = new Error(`Mistral chat failed (${e?.status}): ${e.message}`);\n  err.cause = e;\n  err.status = e?.status;\n  throw err;\n})","handlingStrategy":"retry","validationCode":null,"typeGuard":null,"tryCatchPattern":"try {\n  await llm.getChatCompletion(messages, { temperature });\n} catch (e) {\n  const msg = e.message || '';\n  if (/429|rate limit/i.test(msg))      { /* backoff + retry */ }\n  else if (/401|unauthor|api key/i.test(msg)) { /* rotate key */ }\n  else { /* surface */ }\n}","preventionTips":["Patch the catch to preserve e.status/e.cause for branching.","Add retry/backoff for transient upstream errors.","Log the original error during diagnosis."],"tags":["mistral","error-handling","openai-client","anti-pattern","rate-limit"],"backgroundTag":null,"analyzedSha":"526360e320da9d1b36074be5ed64fe76e5bbfbbd","analyzedAt":"2026-08-13T01:45:47.170Z","schemaVersion":2},"datasetVersion":"2026-08-13T04:17:16.726Z"}