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Feature/social game support #333
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with minor bugs, will fix in future iterations
contain minor bugs, will fix in future iterations
Fixes several bugs preventing custom models (via custom/model@url format) from working:
- Fix parameter name in generate.py: api_base → base_url (line 257)
- Fix hardcoded "gpt-4" evaluator models in server.py (lines 309, 401)
Now uses model_dict.get("evaluator", model_dict["env"])
- Add markdown code block stripping in PydanticOutputParser
Many local LLMs wrap JSON in ```json...```, parser now handles this
- Fix format_bad_output to support custom models
Passes base_url/api_key through error recovery path
Conditionally uses response_format (custom servers may not support it)
Merge branch 'fix/custom-model-support' into feature/social-game-support
…ility issues in the game
Refactor SocialDeductionGame for real-time history and cleaner prompts
- ParallelSotopiaEnv: Added `include_turn_marker` flag to control environment turn messages.
- SocialDeductionGame:
- Disabled environment turn markers to avoid duplication.
- Implemented real-time history appending via `recv_message` override and `agent_message_buffer`.
- Populated `action_instruction` in `Observation` for dynamic prompt instructions.
- Observation: Added `action_instruction` field.
- generate.py: Added `fill_template` helper for partial string formatting.
- LLMAgent: Updated `aact` to use `fill_template` to inject `action_instructions` into `custom_template`.
- Werewolves: Updated config description to populate `{agent_names}` dynamically.
next step, change script_like to false, and fix the rest errors that may cause
…_Sell_custom_models.py
previous commit reverted too much..
Found and fix the evaluation and generation error on the negotiation arena examples. - **Termination Fix**: Updated `ParallelSotopiaEnv` to pass the `env` instance to evaluators. Modified `RuleBasedTerminatedEvaluator` to correctly count active agents using `env.agents` instead of relying solely on message history, which caused early termination in the first turn. - **LiteLLM Support**: Updated `generate.py` to handle OpenAI schema limitations. Added `_fix_schema` to convert `prefixItems` (tuples) to `items` (arrays) and set `strict=False` to support dynamic dictionary outputs (Evaluator maps) while preventing `BadRequestError`.
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