{"version":3,"file":"LlamaCppService-lwZ2ZT0u.js","sources":["../../../.svelte-kit/adapter-node/chunks/LlamaCppService.js"],"sourcesContent":["import { existsSync, mkdirSync, writeFileSync } from \"fs\";\nimport { resolve } from \"path\";\nimport { d as private_env } from \"./shared-server.js\";\nimport dns from \"node:dns\";\ndns.setDefaultResultOrder(\"ipv4first\");\nclass LlamaCppService {\n  url = \"\";\n  constructor(url) {\n    this.url = url;\n  }\n  async health() {\n    try {\n      const r = await fetch(`${this.url}/health`, {\n        method: \"GET\",\n        headers: {\n          \"Content-Type\": \"application/json\"\n        }\n      });\n      const data = await r.json();\n      if (data.status === \"ok\" || data.status === \"error\" || data.status === \"loading model\") {\n        return data.status;\n      }\n    } catch (error) {\n      console.log(JSON.parse(JSON.stringify(error)));\n    }\n    return \"unavailable\";\n  }\n  async tokenize(prompt, abortController) {\n    const response = await fetch(`${this.url}/tokenize`, {\n      method: \"POST\",\n      headers: {\n        \"Content-Type\": \"application/json\"\n      },\n      body: JSON.stringify({\n        \"content\": prompt\n      }),\n      signal: abortController.signal\n    });\n    if (response.ok) {\n      const data = await response.json();\n      if (data.tokens) {\n        return data.tokens;\n      }\n    } else if (response.status === 404) {\n      console.log(\"Tokenization endpoint not found (404).\");\n    } else {\n      console.log(`Failed to tokenize: ${await response.text()}`);\n    }\n    return null;\n  }\n  async detokenize(tokens, abortController) {\n    const response = await fetch(`${this.url}/detokenize`, {\n      method: \"POST\",\n      headers: {\n        \"Content-Type\": \"application/json\"\n      },\n      body: JSON.stringify({\n        \"tokens\": tokens\n      }),\n      signal: abortController.signal\n    });\n    if (response.ok) {\n      const data = await response.json();\n      if (data.content) {\n        return data.content.trim();\n      }\n    } else if (response.status === 404) {\n      console.log(\"Detokenization endpoint not found (404).\");\n    } else {\n      console.log(`Failed to detokenize: ${await response.text()}`);\n    }\n    return null;\n  }\n  predict(prompt, { abortController }) {\n    return async ({ prompt: prompt2 }) => {\n      let tokens = await this.tokenize(prompt2, abortController);\n      if (tokens !== null) {\n        tokens = tokens.slice(0, 30700);\n        const detokenizedPrompt = await this.detokenize(tokens, abortController);\n        if (detokenizedPrompt !== null) {\n          prompt2 = detokenizedPrompt;\n        } else {\n          prompt2 = prompt2.substring(0, 32768);\n        }\n      } else {\n        prompt2 = prompt2.substring(0, 32768);\n      }\n      const request = {\n        \"stream\": true,\n        \"stop\": [\"</s>\", \"bot:\", \"user:\"],\n        \"prompt\": `[INST]  ${prompt2}  [/INST]`\n      };\n      if (private_env.LLM_API_N_PREDICT) {\n        request[\"n_predict\"] = Number(private_env.LLM_API_N_PREDICT);\n      }\n      if (private_env.LLM_API_TEMPERATURE) {\n        request[\"temperature\"] = Number(private_env.LLM_API_TEMPERATURE);\n      }\n      if (private_env.LLM_API_TOP_K) {\n        request[\"top_k\"] = Number(private_env.LLM_API_TOP_K);\n      }\n      if (private_env.LLM_API_TOP_P) {\n        request[\"top_p\"] = Number(private_env.LLM_API_TOP_P);\n      }\n      if (private_env.LLM_API_MIN_P) {\n        request[\"min_p\"] = Number(private_env.LLM_API_MIN_P);\n      }\n      if (private_env.LLM_API_SEED) {\n        request[\"seed\"] = Number(private_env.LLM_API_SEED);\n      }\n      if (private_env.LLM_API_N_KEEP) {\n        request[\"n_keep\"] = Number(private_env.LLM_API_N_KEEP);\n      }\n      if (private_env.LLM_CACHE_PROMPT) {\n        request[\"cache_prompt\"] = Boolean(private_env.LLM_CACHE_PROMPT);\n      }\n      let r;\n      while (true) {\n        r = await fetch(`${this.url}/completion`, {\n          method: \"POST\",\n          headers: {\n            \"Content-Type\": \"application/json\",\n            \"Accept\": \"text/event-stream\"\n          },\n          body: JSON.stringify(request),\n          signal: abortController.signal\n        });\n        if (r.status === 404) {\n          if (!private_env.LLM_API_404_RETRY_INTERVAL) {\n            break;\n          }\n          console.log(`Received 404, retrying after ${private_env.LLM_API_404_RETRY_INTERVAL} seconds...`);\n          await new Promise((resolve2) => setTimeout(resolve2, Number(private_env.LLM_API_404_RETRY_INTERVAL) * 1e3));\n        } else {\n          break;\n        }\n      }\n      if (!r.ok) {\n        throw new Error(`Failed to generate text: ${await r.text()}`);\n      }\n      const encoder = new TextDecoderStream();\n      const reader = await r.body?.pipeThrough(encoder).getReader();\n      let t = this;\n      return async function* () {\n        let stop = false;\n        let generatedText = \"\";\n        let tokenId = 0;\n        while (!stop) {\n          const out = await reader?.read() ?? { done: false, value: void 0 };\n          if (out.done) {\n            stop = true;\n            reader?.cancel();\n            t.createLogFile(JSON.stringify({\n              \"request\": prompt2,\n              \"response\": generatedText\n            }), \"llm-service\");\n            return;\n          }\n          if (!out.value) {\n            stop = true;\n            reader?.cancel();\n            return;\n          }\n          let tokenValue = \"\";\n          if (out.value.startsWith(\"data: \")) {\n            try {\n              const data = JSON.parse(out.value.slice(6));\n              tokenValue = data.content;\n            } catch (e) {\n            }\n          } else if (private_env.LLM_API_VERSION == \"v1\") {\n            tokenValue = out.value;\n          }\n          generatedText += tokenValue.replace(\"</s>\", \"\") ?? \"\";\n          yield {\n            token: {\n              id: tokenId++,\n              text: tokenValue.replace(\"</s>\", \"\") ?? \"\",\n              logprob: 0,\n              special: false\n            },\n            generated_text: null,\n            details: null\n          };\n        }\n      }();\n    };\n  }\n  conversation(history, { abortController }) {\n    return async ({ history: history2 }) => {\n      let prompt = this.formatPrompt(history2);\n      console.log(prompt.length);\n      let tokens = await this.tokenize(prompt, abortController);\n      if (tokens !== null) {\n        tokens = tokens.slice(-30700);\n        const detokenizedPrompt = await this.detokenize(tokens, abortController);\n        if (detokenizedPrompt !== null) {\n          prompt = detokenizedPrompt;\n        } else {\n          prompt = prompt.substring(Math.max(0, prompt.length - 30700));\n        }\n      } else {\n        prompt = prompt.substring(Math.max(0, prompt.length - 30700));\n      }\n      const r = await fetch(`${this.url}/completion`, {\n        method: \"POST\",\n        headers: {\n          \"Content-Type\": \"application/json\",\n          \"Accept\": \"text/event-stream\"\n        },\n        body: JSON.stringify({\n          \"stream\": true,\n          \"n_predict\": 2e3,\n          \"temperature\": 0.2,\n          \"stop\": [\"</s>\", \"bot:\", \"user:\"],\n          \"repeat_penalty\": 1,\n          \"top_k\": 40,\n          \"top_p\": 0.95,\n          \"min_p\": 0.05,\n          \"seed\": 42,\n          \"n_keep\": 0,\n          \"cache_prompt\": false,\n          \"prompt\": prompt\n        }),\n        signal: abortController.signal\n      });\n      if (!r.ok) {\n        throw new Error(`Failed to generate text: ${await r.text()}`);\n      }\n      const encoder = new TextDecoderStream();\n      const reader = r.body?.pipeThrough(encoder).getReader();\n      return async function* () {\n        let stop = false;\n        let generatedText = \"\";\n        let tokenId = 0;\n        while (!stop) {\n          const out = await reader?.read() ?? { done: false, value: void 0 };\n          if (out.done) {\n            reader?.cancel();\n            return;\n          }\n          if (!out.value) {\n            reader?.cancel();\n            return;\n          }\n          let tokenValue = \"\";\n          if (out.value.startsWith(\"data: \")) {\n            try {\n              let data2 = JSON.parse(out.value.slice(6));\n              tokenValue = data2.content;\n            } catch (e) {\n            }\n          } else if (private_env.LLM_API_VERSION == \"v1\") {\n            tokenValue = out.value;\n          }\n          generatedText += tokenValue.replace(\"</s>\", \"\") ?? \"\";\n          yield {\n            token: {\n              id: tokenId++,\n              text: tokenValue.replace(\"</s>\", \"\") ?? \"\",\n              logprob: 0,\n              special: false\n            },\n            generated_text: null,\n            details: null\n          };\n        }\n      }();\n    };\n  }\n  formatPrompt(history) {\n    let prompt = \"<s>\";\n    for (const [userPrompt, botResponse] of history) {\n      prompt += `[INST] ${userPrompt} [/INST]`;\n      if (botResponse) {\n        prompt += ` ${botResponse}</s> `;\n      }\n    }\n    console.log(prompt);\n    return prompt;\n  }\n  createLogFile(text, namePrefix = \"\") {\n    try {\n      const logsDirectory = resolve(private_env.LOGS_ROOT_FOLDER + \"/llama\");\n      if (!existsSync(logsDirectory)) {\n        mkdirSync(logsDirectory, {\n          recursive: true\n        });\n      }\n      const timestamp = (/* @__PURE__ */ new Date()).toISOString().replace(/[:.]/g, \"\");\n      const logFilePath = resolve(logsDirectory, `${namePrefix}${timestamp}.json`);\n      writeFileSync(logFilePath, text);\n      console.log(`Log file created: ${logFilePath}`);\n    } catch (e) {\n      console.log(`Failed to create log file in llama service`);\n      console.log(e);\n    }\n  }\n}\nexport {\n  LlamaCppService as 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