Just Prompt

Below is a review of the changes with observations on potential issues, bugs, and improvements: 1. Hardcoded API key in list_deepseek_models  • Issue: The Deepseek function uses a hardcoded API key ("sk-ds-3f422175ff114212a42d7107c3efd1e4"). This exposes sensitive credentials in the source code.  • Recommendation: Retrieve the key from an environment variable (or a secure vault) as is done for other models.  • Severity: 🚨 Critical 2. Repeated load_dotenv calls  • Issue: Both list_anthropic_models and list_gemini_models call load_dotenv() even if they might be used in the same run.  • Recommendation: Consider loading environment variables once in a main entry point or in a shared initialization function.  • Severity: ⚠️ Moderate 3. Redundant API calls in list_gemini_models  • Issue: The Gemini function calls client.models.list() twice (once for generateContent and again for embedContent). This might be inefficient if each call performs network I/O.  • Recommendation: Cache the result of client.models.list() into a variable and reuse it for both loops.  • Severity: ⚠️ Low 4. Inconsistent variable naming and potential confusion  • Observation: In list_groq_models, the result of client.models.list() is stored in a variable named chat_completion even though the function is about listing models.  • Recommendation: Use a name such as models or model_list for clarity.  • Severity: ℹ️ Low 5. Lack of error handling for API calls  • Observation: All functions simply print the results of API calls without handling potential exceptions (e.g., network errors, invalid credentials).  • Recommendation: Wrap API calls in try-except blocks and add meaningful error messages.  • Severity: ⚠️ Moderate 6. Consistency in output formatting  • Observation: While some functions print header messages (like list_anthropic_models and list_gemini_models), others (like list_openai_models or list_deepseek_models) simply print the raw result.  • Recommendation: Add consistent formatting or output messages for clarity.  • Severity: ℹ️ Low Below is a concise summary in a markdown table: | Issue | Solution | Risk Assessment | |--------------------------------------|------------------------------------------------------------------------------------------|--------------------------| | Hardcoded API key in Deepseek | Use an environment variable (e.g., os.environ.get("DEEPSEEK_API_KEY")) | 🚨 Critical | | Multiple load_dotenv() calls | Load environment variables once at program start instead of in each function | ⚠️ Moderate | | Redundant API call in Gemini models | Cache client.models.list() in a variable and reuse it for looping through supported actions | ⚠️ Low | | Inconsistent variable naming (Groq) | Rename variables (e.g., change "chat_completion" to "models" in list_groq_models) | ℹ️ Low (cosmetic) | | Lack of error handling | Wrap API calls in try-except blocks and log errors or provide user-friendly error messages | ⚠️ Moderate | This review should help in making the code more secure, efficient, and maintainable.