Root cause found in container: camel-ai v0.2.78 openai_model.py L117 reads
os.environ.get('OPENAI_API_BASE_URL') — NOT OPENAI_BASE_URL.
Fix: Set BOTH env vars (OPENAI_BASE_URL for OpenAI SDK + OPENAI_API_BASE_URL for camel-ai).
Keep model_config_dict={} empty so nothing spreads to create().
Also fix Step 2 Thai truncation: \w regex doesn't match Thai tone marks (Mn category).
Use explicit Unicode range \u0E00-\u0E7F instead.
1. Restore OPENAI_API_KEY/OPENAI_BASE_URL env vars for camel-ai factory check
(keep api_key/base_url in model_config_dict for client constructor)
2. Add Thai-supporting font-family to .profile-realname
(JetBrains Mono doesn't render Thai diacritics)
3. Keep model_config_dict with api_key and base_url for camel-ai client
camel-ai v0.2.78 reads OPENAI_API_KEY from env and auto-passes it to
chat.completions.create() which doesn't accept it (TypeError).
Fix: pass api_key and base_url through model_config_dict so camel-ai
extracts them for the OpenAI client constructor only.
camel-ai's OpenAI model reads OPENAI_BASE_URL, not OPENAI_API_BASE_URL.
This caused all simulation LLM calls to go to api.openai.com instead of
the configured provider (DeepSeek, Xiaomi Mimo, etc), resulting in 401.
- Added signal handling to gracefully manage shutdown events across simulation scripts, ensuring proper cleanup of resources.
- Introduced a global shutdown event to allow simulations to respond to termination signals, improving robustness.
- Suppressed warnings related to multiprocessing resource tracking to avoid unnecessary log clutter during execution.
- Updated cleanup logic in `SimulationRunner` and `ZepGraphMemoryManager` to prevent redundant calls and ensure efficient resource management.
- Enhanced logging to provide clearer feedback during shutdown processes, improving traceability.
- Added a new Interview module to facilitate interactions with agents post-simulation, allowing for single and batch interviews.
- Introduced IPC communication mechanism for command and response handling between the Flask backend and simulation scripts.
- Updated README.md to include detailed instructions on the new Interview functionality, including API endpoints and usage examples.
- Enhanced simulation scripts to support waiting for commands after completion, improving user control over the simulation environment.
- Implemented error handling and logging for interview processes, ensuring robust operation and traceability.
- Added support for a `max_rounds` parameter in simulation API, allowing users to limit the number of simulation rounds, improving control over simulation duration.
- Updated README.md to reflect the new `max_rounds` parameter and its usage in simulation requests.
- Enhanced error handling for `max_rounds` input validation to ensure it is a positive integer.
- Modified simulation runner and related scripts to incorporate `max_rounds` functionality, ensuring consistent application across Twitter and Reddit simulations.
- Improved logging to indicate when the number of rounds is truncated due to the `max_rounds` setting, enhancing traceability during simulation execution.
- Introduced MaxTokensWarningFilter to suppress specific warnings related to max_tokens in the logging output across simulation scripts.
- Added a semaphore parameter to limit the maximum concurrent LLM requests in Twitter and Reddit simulation functions, preventing API overload.
- Ensured the filter is applied immediately upon module loading for effective logging management.
- Updated simulation preparation checks to exclude script files from the required files list, improving clarity on file management.
- Implemented a robust retry mechanism for Zep API calls in the ZepEntityReader service, enhancing reliability.
- Enhanced logging in simulation scripts to provide clearer insights into the simulation process and errors.
- Updated simulation runner to manage stdout and stderr logs more effectively, ensuring better error tracking.
- Improved profile generation to standardize gender fields and ensure all required fields are populated correctly.
- Updated README.md to include new simulation scripts and configuration details for OASIS, including API retry mechanisms and environment variable settings.
- Added simulation management and configuration generation services to streamline the simulation process across Twitter and Reddit platforms.
- Introduced new API routes for simulation-related operations, including entity retrieval and simulation status management.
- Implemented a robust retry mechanism for external API calls to improve system stability.
- Enhanced task management model to include detailed progress tracking.
- Added logging capabilities for action tracking during simulations.
- Included new scripts for running parallel simulations and testing profile formats.
