rawi/dist/chunk-TCDDN5PV.cjs.map

Rawi (راوي) is the developer-friendly AI CLI that brings the power of 11 major AI providers directly to your terminal. With seamless shell integration, persistent conversations, and 200+ specialized prompt templates, Rawi transforms your command line into

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{\n            enabled: true,\n            types: filterTypes,\n            showFiltered: false,\n          }\n        : undefined,\n      onChunk: (chunk: string) => {\n        if (!hasStartedStreaming) {\n          if (options.verbose) {\n            spinnerManager.succeed(\n              'generation',\n              'Starting to stream response...',\n            );\n          }\n          hasStartedStreaming = true;\n        }\n\n        if (needResponseStats) {\n          fullResponseBuffer += chunk;\n        }\n\n        process.stdout.write(chunk);\n      },\n      onComplete: () => {\n        console.log();\n\n        if (needResponseStats) {\n          const highlightFilter = new ContentFilter({\n            enabled: true,\n            types: filterTypes,\n            showFiltered: false,\n            highlightFiltered: options.highlightFiltered || false,\n          });\n\n          const fullFilterResult =\n            highlightFilter.filterContent(fullResponseBuffer);\n          const filterCount = fullFilterResult.filterCount;\n\n          if (Object.keys(filterCount).length > 0) {\n            if (options.verbose) {\n              console.log(chalk.yellow('📊 Filtering Summary:'));\n              console.log(chalk.yellow('───────────────────'));\n\n              const totalFiltered = Object.values(filterCount).reduce(\n                (sum, count) => sum + count,\n                0,\n              );\n              console.log(\n                chalk.yellow(`Total filtered items: ${totalFiltered}`),\n              );\n\n              console.log(chalk.yellow('\\nBreakdown by type:'));\n              for (const [type, count] of Object.entries(filterCount)) {\n                const percentage = Math.round((count / totalFiltered) * 100);\n                const bar = '█'.repeat(\n                  Math.min(20, Math.floor(percentage / 5)),\n                );\n                console.log(\n                  chalk.yellow(\n                    `  ${type.padEnd(15)}: ${count.toString().padStart(3)} (${percentage}%) ${bar}`,\n                  ),\n                );\n              }\n            } else {\n              const totalFiltered = Object.values(filterCount).reduce(\n                (sum, count) => sum + count,\n                0,\n              );\n              console.log(\n                chalk.yellow(\n                  `📊 Filtered ${totalFiltered} sensitive items from response`,\n                ),\n              );\n\n              const sortedTypes = Object.entries(filterCount)\n                .sort(([, countA], [, countB]) => countB - countA)\n                .slice(0, 3);\n\n              if (sortedTypes.length > 0) {\n                const typesList = sortedTypes\n                  .map(([type, count]) => `${type} (${count})`)\n                  .join(', ');\n                console.log(chalk.yellow(`   Most common: ${typesList}`));\n              }\n\n              console.log(\n                chalk.dim('   Use --verbose for detailed filtering statistics'),\n              );\n            }\n\n            if (options.highlightFiltered && fullFilterResult.highlightedText) {\n              console.log(\n                chalk.yellow('\\n🔍 Highlighted sensitive content in response:'),\n              );\n              console.log('─────────────────────────────────────────');\n              console.log(fullFilterResult.highlightedText);\n              console.log('─────────────────────────────────────────');\n            }\n          } else if (options.verbose) {\n            console.log(\n              chalk.dim('✅ No sensitive information detected in response'),\n            );\n          }\n        }\n\n        if (options.verbose) {\n          console.log(chalk.dim('✅ Streaming completed'));\n        }\n      },\n      onError: (error: Error) => {\n        if (options.verbose) {\n          spinnerManager.fail('generation', 'Failed to generate response');\n          console.error(chalk.red(`❌ ${error.message}`));\n        }\n      },\n    });\n\n    await dbManager.addMessage(\n      sessionId,\n      'assistant',\n      response,\n      credentials.provider,\n      credentials.model,\n      credentials.temperature,\n      credentials.maxTokens,\n    );\n\n    if (options.verbose) {\n      spinnerManager.succeed('generation', 'Response streamed successfully!');\n    }\n  } catch (error) {\n    if (options.verbose) {\n      spinnerManager.fail('generation', 'Failed to generate response');\n      console.error(\n        chalk.red(\n          `❌ ${error instanceof Error ? error.message : String(error)}`,\n        ),\n      );\n    }\n    response = `Unable to generate response using ${credentials.provider} (${credentials.model}). Error: ${error instanceof Error ? error.message : String(error)}`;\n\n    await dbManager.addMessage(\n      sessionId,\n      'assistant',\n      response,\n      credentials.provider,\n      credentials.model,\n      credentials.temperature,\n      credentials.maxTokens,\n      {error: true},\n    );\n  }\n};\n"]}