From af26b2e68a2b5e20d40ab027ed253d505cc0b1c6 Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Fri, 2 May 2025 15:29:29 -0400
Subject: [PATCH 01/13] propagate cli stuff to serve command

---
 atroposlib/envs/base.py | 256 ++++++++++++++++++++++++++++++++--------
 1 file changed, 204 insertions(+), 52 deletions(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index 6c4d2bc4..65a41581 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -939,30 +939,138 @@ class BaseEnv(ABC):
             type: The CliServeConfig class for serving commands.
         """
 
-        env_config, server_configs = cls.config_init()
+        # Get the default configurations defined by the specific environment class
+        default_env_config, default_server_configs = cls.config_init()
+
+        # Determine a default OpenaiConfig instance for merging purposes,
+        # even if the actual default is ServerBaseline or a list.
+        # This allows overriding with OpenAI settings via CLI/YAML consistently.
+        default_openai_config = OpenaiConfig()  # Base default
+        if isinstance(default_server_configs, OpenaiConfig):
+            default_openai_config = default_server_configs
+        elif isinstance(default_server_configs, list) and default_server_configs:
+            # If the default is a list, use the first item if it's OpenaiConfig
+            if isinstance(default_server_configs[0], OpenaiConfig):
+                default_openai_config = default_server_configs[0]
+
+        # Define namespace prefixes for CLI arguments and YAML keys
         env_full_prefix = f"{ENV_NAMESPACE}{NAMESPACE_SEP}"
         openai_full_prefix = f"{OPENAI_NAMESPACE}{NAMESPACE_SEP}"
 
+        # Define the CLI configuration class dynamically
         class CliServeConfig(
-            get_prefixed_pydantic_model(type(env_config), env_full_prefix),
-            get_prefixed_pydantic_model(OpenaiConfig, openai_full_prefix),
-            ServerManagerConfig,
+            get_prefixed_pydantic_model(type(default_env_config), env_full_prefix),
+            get_prefixed_pydantic_model(
+                OpenaiConfig, openai_full_prefix
+            ),  # Use OpenaiConfig for CLI args
+            ServerManagerConfig,  # ServerManager args are not namespaced by default
             Cmd,
         ):
             """
             Configuration for the serve command.
-            This combines BaseEnvConfig and OpenaiConfig into a single command.
+            Supports overrides via YAML config file and CLI arguments.
+            Order of precedence: CLI > YAML > Class Defaults.
             """
 
+            config: str | None = Field(
+                default=None,
+                description="Path to .yaml config file. CLI args override this.",
+            )
+
             def run(self) -> None:
                 """The logic to execute for the 'serve' command."""
-                # Convert this config into the formats needed by BaseEnv
+                # Set default wandb name if not provided and class has a name
+                # Note: This modifies the 'self' instance based on CLI args before full parsing.
                 wandb_name_attr = f"{ENV_NAMESPACE}{NAMESPACE_SEP}wandb_name"
-                if getattr(self, wandb_name_attr) is None and cls.name is not None:
+                if (
+                    getattr(self, wandb_name_attr, None) is None
+                    and cls.name is not None
+                ):
                     setattr(self, wandb_name_attr, cls.name)
-                model_dumped = self.model_dump(exclude_unset=True)
-                server_manager_config = ServerManagerConfig(**model_dumped)
-                # Create the environment instance
+
+                # Load configuration from YAML file if specified
+                if self.config is not None:
+                    with open(self.config, "r") as f:
+                        yaml_config = yaml.safe_load(f)
+                    print(f"Loaded config from {self.config}")
+                else:
+                    yaml_config = {}
+
+                # Get CLI flags passed with double dashes (e.g., --env--foo bar)
+                cli_passed_flags = get_double_dash_flags()
+
+                # --- Configuration Merging ---
+                # Priority: CLI > YAML > Class Defaults
+
+                # 1. Environment Configuration
+                env_config_dict = merge_dicts(
+                    default_env_config.model_dump(),  # Class Defaults
+                    yaml_config.get(ENV_NAMESPACE, {}),  # YAML config
+                    extract_namespace(cli_passed_flags, env_full_prefix),  # CLI args
+                )
+
+                # 2. OpenAI Configuration (used for potential overrides)
+                openai_config_dict = merge_dicts(
+                    default_openai_config.model_dump(),  # Default OpenaiConfig (or from class init)
+                    yaml_config.get(OPENAI_NAMESPACE, {}),  # YAML config
+                    extract_namespace(cli_passed_flags, openai_full_prefix),  # CLI args
+                )
+
+                # 3. Server Manager Configuration (slurm, testing - not namespaced)
+                # Extract only relevant CLI flags for ServerManager
+                server_manager_cli_passed_flags = {}
+                if "slurm" in cli_passed_flags:
+                    server_manager_cli_passed_flags["slurm"] = cli_passed_flags["slurm"]
+                if "testing" in cli_passed_flags:
+                    server_manager_cli_passed_flags["testing"] = cli_passed_flags[
+                        "testing"
+                    ]
+
+                server_manager_config_dict = merge_dicts(
+                    ServerManagerConfig().model_dump(),  # Base defaults for ServerManager
+                    yaml_config.get(SERVER_MANAGER_NAMESPACE, {}),  # YAML config
+                    server_manager_cli_passed_flags,  # CLI args
+                )
+
+                # --- Instantiate Final Config Objects ---
+                # Create instances from the merged dictionaries using the original default types where appropriate
+
+                # Instantiate the final environment config using its original type
+                env_config = type(default_env_config)(**env_config_dict)
+
+                # Instantiate the final server manager config
+                server_manager_config = ServerManagerConfig(
+                    **server_manager_config_dict
+                )
+
+                # Determine the final server_configs based on the original default type from cls.config_init()
+                # This allows handling ServerBaseline, single OpenaiConfig, or list[OpenaiConfig]
+                server_configs = (
+                    default_server_configs  # Start with the original default
+                )
+                if isinstance(default_server_configs, OpenaiConfig):
+                    # If default was single OpenaiConfig, update it with merged values
+                    server_configs = OpenaiConfig(**openai_config_dict)
+                elif isinstance(default_server_configs, list):
+                    # If default was list (presumably of OpenaiConfig), update the first or create one
+                    # This assumes the primary server config is the one overridden via CLI/YAML
+                    if default_server_configs and isinstance(
+                        default_server_configs[0], OpenaiConfig
+                    ):
+                        # Update the first element, keep others as they were
+                        server_configs = [
+                            OpenaiConfig(**openai_config_dict)
+                        ] + default_server_configs[1:]
+                    else:
+                        # If list was empty or didn't contain OpenaiConfig, create a new list with the merged config
+                        server_configs = [OpenaiConfig(**openai_config_dict)]
+                # If default_server_configs was ServerBaseline, server_configs remains ServerBaseline,
+                # effectively ignoring the openai_config_dict unless the user explicitly provides
+                # OpenaiConfig settings via CLI/YAML, which would be captured but not used here unless
+                # the environment class's config_init returned an OpenaiConfig or list.
+
+                # --- Create and Run Environment ---
+                # Create the environment instance using the final, instantiated config objects
                 env = cls(
                     config=env_config,
                     server_configs=server_configs,
@@ -970,7 +1078,7 @@ class BaseEnv(ABC):
                     testing=server_manager_config.testing,
                 )
 
-                # Run the environment
+                # Run the environment's main asynchronous manager function
                 asyncio.run(env.env_manager())
 
         return CliServeConfig
@@ -984,51 +1092,76 @@ class BaseEnv(ABC):
             type: The CliProcessConfig class for processing commands.
         """
 
+        # Define specific default configurations for the 'process' mode
         PROCESS_MODE_ENV_DEFAULT_CONFIG = BaseEnvConfig(
             group_size=8,
             total_steps=2,
             ensure_scores_are_not_same=False,
             include_messages=True,
+            # Ensure a default path for process mode if not set by class/cli/yaml
+            data_path_to_save_groups="output_groups.jsonl",
+            use_wandb=False,  # Typically disable wandb for simple processing
         )
         PROCESS_MODE_OPENAI_DEFAULT_CONFIG = OpenaiConfig(
-            model_name="gpt-4.1-nano",
+            model_name="gpt-4.1-nano",  # A reasonable default for processing
             base_url=None,
             api_key=None,
         )
         PROCESS_MODE_SERVER_MANAGER_DEFAULT_CONFIG = ServerManagerConfig(
-            slurm=False,
+            slurm=False,  # Usually run locally
             testing=False,
         )
 
-        default_env_config, default_openai_config = cls.config_init()
+        # Get the base default configurations from the specific environment class
+        default_env_config, default_server_configs = cls.config_init()
 
-        if isinstance(default_openai_config, list):
-            default_openai_config = default_openai_config[0]
+        # Ensure default_openai_config is a single instance for default merging logic.
+        # Process mode specifically uses OpenaiConfig, so we establish a base default.
+        if isinstance(default_server_configs, list):
+            # Use the first if available and is OpenaiConfig, otherwise use a base OpenaiConfig
+            default_openai_config = (
+                default_server_configs[0]
+                if default_server_configs
+                and isinstance(default_server_configs[0], OpenaiConfig)
+                else OpenaiConfig()
+            )
+        elif isinstance(default_server_configs, OpenaiConfig):
+            default_openai_config = default_server_configs
+        else:
+            # If config_init returned ServerBaseline or something else, use a base OpenaiConfig for defaults
+            default_openai_config = OpenaiConfig()
 
+        # Define namespace prefixes
         env_full_prefix = f"{ENV_NAMESPACE}{NAMESPACE_SEP}"
         openai_full_prefix = f"{OPENAI_NAMESPACE}{NAMESPACE_SEP}"
 
+        # Create Pydantic model classes with the 'process' mode defaults applied.
+        # These adjusted classes will be used for final instantiation.
         env_config_cls_new_defaults = adjust_model_defaults(
             type(default_env_config), PROCESS_MODE_ENV_DEFAULT_CONFIG
         )
         openai_config_cls_new_defaults = adjust_model_defaults(
-            OpenaiConfig, PROCESS_MODE_OPENAI_DEFAULT_CONFIG
+            OpenaiConfig,
+            PROCESS_MODE_OPENAI_DEFAULT_CONFIG,  # Process always uses OpenaiConfig type
         )
         server_manager_config_cls_new_defaults = adjust_model_defaults(
             ServerManagerConfig,
             PROCESS_MODE_SERVER_MANAGER_DEFAULT_CONFIG,
         )
 
+        # Define the CLI configuration class dynamically
         class CliProcessConfig(
             get_prefixed_pydantic_model(env_config_cls_new_defaults, env_full_prefix),
             get_prefixed_pydantic_model(
                 openai_config_cls_new_defaults, openai_full_prefix
             ),
-            server_manager_config_cls_new_defaults,
+            server_manager_config_cls_new_defaults,  # Uses adjusted defaults
             Cmd,
         ):
             """
             Configuration for the process command.
+            Supports overrides via YAML config file and CLI arguments.
+            Order of precedence: CLI > YAML > Class Defaults > Process Mode Defaults.
             """
 
             config: str | None = Field(
@@ -1038,42 +1171,46 @@ class BaseEnv(ABC):
 
             def run(self) -> None:
                 """The logic to execute for the 'process' command."""
-                # Setup environment configuration
+                # Set default wandb name if not provided and class has a name
                 wandb_name_attr = f"{ENV_NAMESPACE}{NAMESPACE_SEP}wandb_name"
-                if getattr(self, wandb_name_attr) is None and cls.name is not None:
+                if (
+                    getattr(self, wandb_name_attr, None) is None
+                    and cls.name is not None
+                ):
                     setattr(self, wandb_name_attr, cls.name)
 
+                # Load configuration from YAML file if specified
                 if self.config is not None:
                     with open(self.config, "r") as f:
-                        config = yaml.safe_load(f)
+                        yaml_config = yaml.safe_load(f)
                     print(f"Loaded config from {self.config}")
                 else:
-                    config = {}
+                    yaml_config = {}
 
+                # Get CLI flags passed with double dashes
                 cli_passed_flags = get_double_dash_flags()
 
-                # cli args overrides config file which overrides class defaults which overrides process mode defaults
-                env_config = env_config_cls_new_defaults(
-                    **merge_dicts(
-                        default_env_config.model_dump(),
-                        PROCESS_MODE_ENV_DEFAULT_CONFIG.model_dump(),
-                        config.get(ENV_NAMESPACE, {}),
-                        extract_namespace(
-                            cli_passed_flags, env_full_prefix
-                        ),  # only extract namespace for cli-passed args
-                    )
-                )
-                openai_config = openai_config_cls_new_defaults(
-                    **merge_dicts(
-                        default_openai_config.model_dump(),
-                        PROCESS_MODE_OPENAI_DEFAULT_CONFIG.model_dump(),
-                        config.get(OPENAI_NAMESPACE, {}),
-                        extract_namespace(
-                            cli_passed_flags, openai_full_prefix
-                        ),  # only extract namespace for cli-passed args
-                    )
+                # --- Configuration Merging ---
+                # Priority: CLI > YAML > Class Defaults > Process Mode Defaults
+
+                # 1. Environment Configuration
+                env_config_dict = merge_dicts(
+                    default_env_config.model_dump(),  # Class Defaults
+                    PROCESS_MODE_ENV_DEFAULT_CONFIG.model_dump(),  # Process Mode Defaults
+                    yaml_config.get(ENV_NAMESPACE, {}),  # YAML config
+                    extract_namespace(cli_passed_flags, env_full_prefix),  # CLI args
                 )
 
+                # 2. OpenAI Configuration
+                openai_config_dict = merge_dicts(
+                    default_openai_config.model_dump(),  # Class Defaults (adjusted to be OpenaiConfig)
+                    PROCESS_MODE_OPENAI_DEFAULT_CONFIG.model_dump(),  # Process Mode Defaults
+                    yaml_config.get(OPENAI_NAMESPACE, {}),  # YAML config
+                    extract_namespace(cli_passed_flags, openai_full_prefix),  # CLI args
+                )
+
+                # 3. Server Manager Configuration
+                # Extract only relevant CLI flags
                 server_manager_cli_passed_flags = {}
                 if "slurm" in cli_passed_flags:
                     server_manager_cli_passed_flags["slurm"] = cli_passed_flags["slurm"]
@@ -1082,36 +1219,51 @@ class BaseEnv(ABC):
                         "testing"
                     ]
 
-                server_manager_config = server_manager_config_cls_new_defaults(
-                    **merge_dicts(
-                        ServerManagerConfig().model_dump(),
-                        PROCESS_MODE_SERVER_MANAGER_DEFAULT_CONFIG.model_dump(),
-                        config.get(SERVER_MANAGER_NAMESPACE, {}),
-                        server_manager_cli_passed_flags,
-                    )
+                server_manager_config_dict = merge_dicts(
+                    ServerManagerConfig().model_dump(),  # Base defaults
+                    PROCESS_MODE_SERVER_MANAGER_DEFAULT_CONFIG.model_dump(),  # Process Mode Defaults
+                    yaml_config.get(SERVER_MANAGER_NAMESPACE, {}),  # YAML config
+                    server_manager_cli_passed_flags,  # CLI args
                 )
 
+                # --- Instantiate Final Config Objects ---
+                # Use the classes with adjusted defaults for instantiation
+
+                env_config = env_config_cls_new_defaults(**env_config_dict)
+                openai_config = openai_config_cls_new_defaults(**openai_config_dict)
+                server_manager_config = server_manager_config_cls_new_defaults(
+                    **server_manager_config_dict
+                )
+
+                # --- Create and Run Environment ---
                 # Create the environment instance
                 env = cls(
                     config=env_config,
+                    # Process mode always uses a single OpenAI config, passed as a list
                     server_configs=[openai_config],
                     slurm=server_manager_config.slurm,
                     testing=server_manager_config.testing,
                 )
 
-                # Set the process mode parameters
+                # Set specific parameters for process mode on the environment instance
                 env.process_mode = True
                 env.n_groups_to_process = env_config.total_steps
                 env.group_size_to_process = env_config.group_size
 
+                # Validate that an output path is set (should have a default from PROCESS_MODE_ENV_DEFAULT_CONFIG)
+                if env_config.data_path_to_save_groups is None:
+                    # This check might be redundant if the default is always set, but good practice.
+                    raise ValueError(
+                        "data_path_to_save_groups must be set for process mode"
+                    )
+
                 print(
                     f"Processing {env_config.total_steps} groups of "
                     f"{env_config.group_size} responses and "
                     f"writing to {env_config.data_path_to_save_groups}"
                 )
 
+                # Run the environment's asynchronous process manager function
                 asyncio.run(env.process_manager())
 
-                # Actual implementation would go here
-
         return CliProcessConfig

From fe616ec7fa281343b117164f6df0bf4af3ba06bd Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Sat, 3 May 2025 05:28:40 -0400
Subject: [PATCH 02/13] add exceptions

---
 atroposlib/envs/base.py | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index 65a41581..c8aaf53a 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -684,7 +684,19 @@ class BaseEnv(ABC):
                 f"{self.config.rollout_server_url}/status-env",
                 json={"env_id": self.env_id},
             ) as resp:
-                self.status_dict = await resp.json()
+                try:
+                    # Raise an exception for bad status codes (4xx or 5xx)
+                    resp.raise_for_status()
+                    # Attempt to parse the response as JSON
+                    self.status_dict = await resp.json()
+                except Exception as e:
+                    # Handle HTTP errors (raised by raise_for_status)
+                    error_text = await resp.text()  # Read the response text for logging
+                    logger.error(
+                        f"Error fetching status from rollout server. Status: {e.status}, Message: {e.message}. Response: {error_text}"  # noqa: E501
+                    )
+                    # Re-raise the exception to allow the @retry decorator to handle it
+                    raise
                 new_weight = self.status_dict["env_weight"]
                 max_num_workers = self.config.max_num_workers
                 if max_num_workers == -1:

From 4348dd2ec1709d647aaca43012e86a3aba934cfe Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Sat, 3 May 2025 14:18:50 -0700
Subject: [PATCH 03/13] hide complicated openai config override behavior
 somewhere else

---
 atroposlib/envs/base.py                       | 107 +++++++++++-------
 .../envs/server_handling/openai_server.py     |  79 +++++++++++++
 environments/configs/example.yaml             |  21 ++++
 3 files changed, 166 insertions(+), 41 deletions(-)
 create mode 100644 environments/configs/example.yaml

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index c8aaf53a..2c2c8612 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -20,15 +20,12 @@ import wandb
 import yaml
 from pydantic import BaseModel, Field
 from pydantic_cli import Cmd, FailedExecutionException, run_and_exit
+from rich import print as rprint
 from tenacity import retry, stop_after_attempt, wait_random_exponential
 from transformers import AutoTokenizer
 
-from atroposlib.envs.constants import (
-    ENV_NAMESPACE,
-    NAMESPACE_SEP,
-    OPENAI_NAMESPACE,
-    SERVER_MANAGER_NAMESPACE,
-)
+from atroposlib.envs.constants import ENV_NAMESPACE, NAMESPACE_SEP, OPENAI_NAMESPACE
+from atroposlib.envs.server_handling.openai_server import resolve_openai_configs
 from atroposlib.frontend.jsonl2html import generate_html
 from atroposlib.type_definitions import UUID
 from atroposlib.utils.cli import (
@@ -1022,11 +1019,29 @@ class BaseEnv(ABC):
                 )
 
                 # 2. OpenAI Configuration (used for potential overrides)
-                openai_config_dict = merge_dicts(
-                    default_openai_config.model_dump(),  # Default OpenaiConfig (or from class init)
-                    yaml_config.get(OPENAI_NAMESPACE, {}),  # YAML config
-                    extract_namespace(cli_passed_flags, openai_full_prefix),  # CLI args
-                )
+                yaml_oai_config = yaml_config.get(OPENAI_NAMESPACE, {})
+                if (
+                    isinstance(default_openai_config, list)
+                    and len(default_openai_config) == 1
+                ):
+                    # can't use the same var name because it shadows the class variable and we get an error
+                    default_openai_config_ = default_openai_config[0]
+                else:
+                    default_openai_config_ = default_openai_config
+                if isinstance(yaml_oai_config, list) and len(yaml_oai_config) == 1:
+                    yaml_oai_config = yaml_oai_config[0]
+                if isinstance(default_openai_config, OpenaiConfig) and isinstance(
+                    yaml_oai_config, dict
+                ):
+                    openai_config_dict = merge_dicts(
+                        default_openai_config_.model_dump(),  # Default OpenaiConfig (or from class init)
+                        yaml_oai_config,
+                        extract_namespace(
+                            cli_passed_flags, openai_full_prefix
+                        ),  # CLI args
+                    )
+                else:
+                    openai_config_dict = {}
 
                 # 3. Server Manager Configuration (slurm, testing - not namespaced)
                 # Extract only relevant CLI flags for ServerManager
@@ -1038,9 +1053,15 @@ class BaseEnv(ABC):
                         "testing"
                     ]
 
+                server_manager_yaml_dict = {}
+                if "slurm" in yaml_config:
+                    server_manager_yaml_dict["slurm"] = yaml_config["slurm"]
+                if "testing" in yaml_config:
+                    server_manager_yaml_dict["testing"] = yaml_config["testing"]
+
                 server_manager_config_dict = merge_dicts(
                     ServerManagerConfig().model_dump(),  # Base defaults for ServerManager
-                    yaml_config.get(SERVER_MANAGER_NAMESPACE, {}),  # YAML config
+                    server_manager_yaml_dict,  # YAML config
                     server_manager_cli_passed_flags,  # CLI args
                 )
 
@@ -1055,40 +1076,26 @@ class BaseEnv(ABC):
                     **server_manager_config_dict
                 )
 
-                # Determine the final server_configs based on the original default type from cls.config_init()
-                # This allows handling ServerBaseline, single OpenaiConfig, or list[OpenaiConfig]
-                server_configs = (
-                    default_server_configs  # Start with the original default
+                # Determine the final server_configs, handling single, multiple servers, and overrides.
+
+                openai_configs = resolve_openai_configs(
+                    default_server_configs=default_server_configs,
+                    openai_config_dict=openai_config_dict,
+                    yaml_config=yaml_config,
+                    cli_passed_flags=cli_passed_flags,
+                    logger=logger,
                 )
-                if isinstance(default_server_configs, OpenaiConfig):
-                    # If default was single OpenaiConfig, update it with merged values
-                    server_configs = OpenaiConfig(**openai_config_dict)
-                elif isinstance(default_server_configs, list):
-                    # If default was list (presumably of OpenaiConfig), update the first or create one
-                    # This assumes the primary server config is the one overridden via CLI/YAML
-                    if default_server_configs and isinstance(
-                        default_server_configs[0], OpenaiConfig
-                    ):
-                        # Update the first element, keep others as they were
-                        server_configs = [
-                            OpenaiConfig(**openai_config_dict)
-                        ] + default_server_configs[1:]
-                    else:
-                        # If list was empty or didn't contain OpenaiConfig, create a new list with the merged config
-                        server_configs = [OpenaiConfig(**openai_config_dict)]
-                # If default_server_configs was ServerBaseline, server_configs remains ServerBaseline,
-                # effectively ignoring the openai_config_dict unless the user explicitly provides
-                # OpenaiConfig settings via CLI/YAML, which would be captured but not used here unless
-                # the environment class's config_init returned an OpenaiConfig or list.
 
                 # --- Create and Run Environment ---
                 # Create the environment instance using the final, instantiated config objects
                 env = cls(
                     config=env_config,
-                    server_configs=server_configs,
+                    server_configs=openai_configs,
                     slurm=server_manager_config.slurm,
                     testing=server_manager_config.testing,
                 )
+                rprint(env_config)
+                rprint(openai_configs)
 
                 # Run the environment's main asynchronous manager function
                 asyncio.run(env.env_manager())
@@ -1231,10 +1238,16 @@ class BaseEnv(ABC):
                         "testing"
                     ]
 
+                server_manager_yaml_dict = {}
+                if "slurm" in yaml_config:
+                    server_manager_yaml_dict["slurm"] = yaml_config["slurm"]
+                if "testing" in yaml_config:
+                    server_manager_yaml_dict["testing"] = yaml_config["testing"]
+
                 server_manager_config_dict = merge_dicts(
                     ServerManagerConfig().model_dump(),  # Base defaults
                     PROCESS_MODE_SERVER_MANAGER_DEFAULT_CONFIG.model_dump(),  # Process Mode Defaults
-                    yaml_config.get(SERVER_MANAGER_NAMESPACE, {}),  # YAML config
+                    server_manager_yaml_dict,
                     server_manager_cli_passed_flags,  # CLI args
                 )
 
@@ -1242,17 +1255,29 @@ class BaseEnv(ABC):
                 # Use the classes with adjusted defaults for instantiation
 
                 env_config = env_config_cls_new_defaults(**env_config_dict)
-                openai_config = openai_config_cls_new_defaults(**openai_config_dict)
                 server_manager_config = server_manager_config_cls_new_defaults(
                     **server_manager_config_dict
                 )
 
+                # Determine the final server_configs, handling single, multiple servers, and overrides.
+
+                openai_configs = resolve_openai_configs(
+                    default_server_configs=default_server_configs,
+                    openai_config_dict=openai_config_dict,
+                    yaml_config=yaml_config,
+                    cli_passed_flags=cli_passed_flags,
+                    logger=logger,
+                )
+
+                rprint(env_config)
+                rprint(openai_configs)
+
                 # --- Create and Run Environment ---
                 # Create the environment instance
                 env = cls(
                     config=env_config,
-                    # Process mode always uses a single OpenAI config, passed as a list
-                    server_configs=[openai_config],
+                    # Use the resolved configs (single or list)
+                    server_configs=openai_configs,
                     slurm=server_manager_config.slurm,
                     testing=server_manager_config.testing,
                 )
diff --git a/atroposlib/envs/server_handling/openai_server.py b/atroposlib/envs/server_handling/openai_server.py
index 4a3562cb..f161869e 100644
--- a/atroposlib/envs/server_handling/openai_server.py
+++ b/atroposlib/envs/server_handling/openai_server.py
@@ -10,8 +10,11 @@ import openai
 from openai.types.chat.chat_completion import ChatCompletion
 from openai.types.completion import Completion
 from pydantic import BaseModel, Field
+from pydantic_cli import FailedExecutionException
 from tenacity import retry, stop_after_attempt, wait_random_exponential
 
+from atroposlib.envs.constants import NAMESPACE_SEP, OPENAI_NAMESPACE
+
 
 class OpenaiConfig(BaseModel):
     """
@@ -294,3 +297,79 @@ class OpenAIServer:
             self.eval_request_timings.append(stat_dict["end"] - stat_dict["start"])
             self.eval_attempts_list.append(stat_dict["attempts"])
         return ret_data
+
+
+def resolve_openai_configs(
+    default_server_configs,
+    openai_config_dict,
+    yaml_config,
+    cli_passed_flags,
+    logger,
+):
+    """
+    Helper to resolve the final server_configs, handling single, multiple servers, and overrides.
+    """
+    from atroposlib.envs.server_handling.server_manager import ServerBaseline
+
+    openai_full_prefix = f"{OPENAI_NAMESPACE}{NAMESPACE_SEP}"
+    openai_yaml_config = yaml_config.get(OPENAI_NAMESPACE, None)
+    openai_cli_config = {
+        k: v for k, v in cli_passed_flags.items() if k.startswith(openai_full_prefix)
+    }
+
+    is_multi_server_yaml = (
+        isinstance(openai_yaml_config, list) and len(openai_yaml_config) >= 2
+    )
+    is_multi_server_default = (
+        (not is_multi_server_yaml)
+        and isinstance(default_server_configs, list)
+        and len(default_server_configs) >= 2
+    )
+
+    if (is_multi_server_yaml or is_multi_server_default) and openai_cli_config:
+        raise FailedExecutionException(
+            f"CLI overrides for OpenAI settings (--{openai_full_prefix}*) are not supported "
+            f"when multiple servers are defined (either via YAML list under '{OPENAI_NAMESPACE}' "
+            "or a default list with length >= 2)."
+        )
+
+    if is_multi_server_yaml:
+        logger.info(
+            f"Using multi-server configuration defined in YAML under '{OPENAI_NAMESPACE}'."
+        )
+        try:
+            server_configs = [OpenaiConfig(**cfg) for cfg in openai_yaml_config]
+        except Exception as e:
+            raise FailedExecutionException(
+                f"Error parsing multi-server OpenAI configuration from YAML under '{OPENAI_NAMESPACE}': {e}"
+            ) from e
+    elif isinstance(default_server_configs, ServerBaseline):
+        logger.info("Using ServerBaseline configuration.")
+        server_configs = default_server_configs
+    elif is_multi_server_default:
+        logger.info("Using default multi-server configuration (length >= 2).")
+        server_configs = default_server_configs
+    else:
+        logger.info(
+            "Using single OpenAI server configuration based on merged settings (default/YAML/CLI)."
+        )
+        try:
+            final_openai_config = OpenaiConfig(**openai_config_dict)
+        except Exception as e:
+            raise FailedExecutionException(
+                f"Error creating final OpenAI configuration from merged settings: {e}\n"
+                f"Merged Dict: {openai_config_dict}"
+            ) from e
+
+        if isinstance(default_server_configs, OpenaiConfig):
+            server_configs = final_openai_config
+        elif isinstance(default_server_configs, list):
+            server_configs = [final_openai_config]
+        else:
+            logger.warning(
+                f"Unexpected type for default_server_configs: {type(default_server_configs)}. "
+                f"Proceeding with single OpenAI server configuration based on merged settings."
+            )
+            server_configs = [final_openai_config]
+
+    return server_configs
diff --git a/environments/configs/example.yaml b/environments/configs/example.yaml
new file mode 100644
index 00000000..680458cf
--- /dev/null
+++ b/environments/configs/example.yaml
@@ -0,0 +1,21 @@
+# Environment configuration
+env:
+  group_size: 4
+  max_batches_offpolicy: 3
+  tokenizer_name: "Qwen/Qwen2.5-1.5B-Instruct"
+  use_wandb: true
+  rollout_server_url: "http://localhost:8000"
+  wandb_name: "example_env"
+  ensure_scores_are_not_same: true
+  data_path_to_save_groups: null
+  include_messages: true # if data_path_to_save_groups is set this will add the messages to the saved .jsonl
+
+# OpenAI server configurations
+openai:
+  - model_name: "Qwen/Qwen2.5-1.5B-Instruct"
+    base_url: "http://localhost:9001/v1"
+    api_key: "x"
+    weight: 1.0
+
+slurm: false
+testing: false

From d1106f3b114ab2cfe52a4556171535422547141c Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Sat, 3 May 2025 15:42:06 -0700
Subject: [PATCH 04/13] add rich dep

---
 README.md      | 12 +++++++++---
 pyproject.toml |  1 +
 2 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 6fdaca77..ea70cae6 100644
--- a/README.md
+++ b/README.md
@@ -167,9 +167,15 @@ pre-commit install
   You should edit the config_init section of the environment file you want ([For example, in GSM8K Environment](https://github.com/NousResearch/atropos/blob/main/environments/gsm8k_server.py#L53)) to point to a running VLLM or SGLang inference server as well as any other configuration changes you'd like to make, such as the group size, then:
 
    ```bash
-   # Start the API server and run the GSM8K environment
-   run-api & python environments/gsm8k_server.py serve \
-       --slurm false
+   # Start the API server
+   run-api
+   ```
+   In a separate terminal, start the GSM8K environment microservice
+   ```bash
+   python environments/gsm8k_server.py serve --openai.model_name Qwen/Qwen2.5-1.5B-Instruct --slurm false
+   # alternatively
+   # python environments/gsm8k_server.py serve --config configs/example.yaml
+   # python environments/gsm8k_server.py serve --config configs/example.yaml --env.group_size 8 # cli args override config settings
    ```
 3. **Query the the API (Optional)**
 
diff --git a/pyproject.toml b/pyproject.toml
index 50ad2c59..fb7eccea 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,6 +19,7 @@ dependencies = [
     "math-verify==0.7.0",
     "jinja2",
     "nltk",
+    "rich",
     "polars",
     "aiofiles",
     "jsonlines",

From aa23f108578046b260d8a23a41a81ebec35eb939 Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Sat, 3 May 2025 15:52:13 -0700
Subject: [PATCH 05/13] remove try/except because handled in separate pr

---
 atroposlib/envs/base.py | 14 +-------------
 1 file changed, 1 insertion(+), 13 deletions(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index 2c2c8612..53160168 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -681,19 +681,7 @@ class BaseEnv(ABC):
                 f"{self.config.rollout_server_url}/status-env",
                 json={"env_id": self.env_id},
             ) as resp:
-                try:
-                    # Raise an exception for bad status codes (4xx or 5xx)
-                    resp.raise_for_status()
-                    # Attempt to parse the response as JSON
-                    self.status_dict = await resp.json()
-                except Exception as e:
-                    # Handle HTTP errors (raised by raise_for_status)
-                    error_text = await resp.text()  # Read the response text for logging
-                    logger.error(
-                        f"Error fetching status from rollout server. Status: {e.status}, Message: {e.message}. Response: {error_text}"  # noqa: E501
-                    )
-                    # Re-raise the exception to allow the @retry decorator to handle it
-                    raise
+                self.status_dict = await resp.json()
                 new_weight = self.status_dict["env_weight"]
                 max_num_workers = self.config.max_num_workers
                 if max_num_workers == -1:

From a4d8d7e875b28756e0f86d36fc63354399744ab2 Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Sat, 3 May 2025 15:58:17 -0700
Subject: [PATCH 06/13] remove spurious comments

---
 atroposlib/envs/base.py | 21 +++++++++------------
 1 file changed, 9 insertions(+), 12 deletions(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index 53160168..fe660bac 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -1085,7 +1085,7 @@ class BaseEnv(ABC):
                 rprint(env_config)
                 rprint(openai_configs)
 
-                # Run the environment's main asynchronous manager function
+                # Run the environment
                 asyncio.run(env.env_manager())
 
         return CliServeConfig
@@ -1105,17 +1105,16 @@ class BaseEnv(ABC):
             total_steps=2,
             ensure_scores_are_not_same=False,
             include_messages=True,
-            # Ensure a default path for process mode if not set by class/cli/yaml
-            data_path_to_save_groups="output_groups.jsonl",
-            use_wandb=False,  # Typically disable wandb for simple processing
+            data_path_to_save_groups="data/{cls.name or 'groups'}.jsonl",
+            use_wandb=True,
         )
         PROCESS_MODE_OPENAI_DEFAULT_CONFIG = OpenaiConfig(
-            model_name="gpt-4.1-nano",  # A reasonable default for processing
+            model_name="gpt-4.1-nano",
             base_url=None,
             api_key=None,
         )
         PROCESS_MODE_SERVER_MANAGER_DEFAULT_CONFIG = ServerManagerConfig(
-            slurm=False,  # Usually run locally
+            slurm=False,
             testing=False,
         )
 
@@ -1149,26 +1148,25 @@ class BaseEnv(ABC):
         )
         openai_config_cls_new_defaults = adjust_model_defaults(
             OpenaiConfig,
-            PROCESS_MODE_OPENAI_DEFAULT_CONFIG,  # Process always uses OpenaiConfig type
+            PROCESS_MODE_OPENAI_DEFAULT_CONFIG,
         )
         server_manager_config_cls_new_defaults = adjust_model_defaults(
             ServerManagerConfig,
             PROCESS_MODE_SERVER_MANAGER_DEFAULT_CONFIG,
         )
 
-        # Define the CLI configuration class dynamically
         class CliProcessConfig(
             get_prefixed_pydantic_model(env_config_cls_new_defaults, env_full_prefix),
             get_prefixed_pydantic_model(
                 openai_config_cls_new_defaults, openai_full_prefix
             ),
-            server_manager_config_cls_new_defaults,  # Uses adjusted defaults
+            server_manager_config_cls_new_defaults,
             Cmd,
         ):
             """
             Configuration for the process command.
             Supports overrides via YAML config file and CLI arguments.
-            Order of precedence: CLI > YAML > Class Defaults > Process Mode Defaults.
+            Order of precedence: CLI > YAML > Process Mode Defaults > `config_init` defaults.
             """
 
             config: str | None = Field(
@@ -1198,7 +1196,7 @@ class BaseEnv(ABC):
                 cli_passed_flags = get_double_dash_flags()
 
                 # --- Configuration Merging ---
-                # Priority: CLI > YAML > Class Defaults > Process Mode Defaults
+                # Priority: CLI > YAML > Process Mode Defaults > `config_init` defaults
 
                 # 1. Environment Configuration
                 env_config_dict = merge_dicts(
@@ -1264,7 +1262,6 @@ class BaseEnv(ABC):
                 # Create the environment instance
                 env = cls(
                     config=env_config,
-                    # Use the resolved configs (single or list)
                     server_configs=openai_configs,
                     slurm=server_manager_config.slurm,
                     testing=server_manager_config.testing,

From ae24b022c3acfc5b0b18633320556068a7cdc9b8 Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Sat, 3 May 2025 16:24:35 -0700
Subject: [PATCH 07/13] fix bug where None would be parsed as a str instead of
 special value

---
 atroposlib/envs/base.py | 55 ++++++++++++++++++++++-------------------
 atroposlib/utils/cli.py | 29 +++++++++++++++++-----
 2 files changed, 53 insertions(+), 31 deletions(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index fe660bac..f856db45 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -1018,7 +1018,7 @@ class BaseEnv(ABC):
                     default_openai_config_ = default_openai_config
                 if isinstance(yaml_oai_config, list) and len(yaml_oai_config) == 1:
                     yaml_oai_config = yaml_oai_config[0]
-                if isinstance(default_openai_config, OpenaiConfig) and isinstance(
+                if isinstance(default_openai_config_, OpenaiConfig) and isinstance(
                     yaml_oai_config, dict
                 ):
                     openai_config_dict = merge_dicts(
@@ -1119,23 +1119,10 @@ class BaseEnv(ABC):
         )
 
         # Get the base default configurations from the specific environment class
-        default_env_config, default_server_configs = cls.config_init()
-
-        # Ensure default_openai_config is a single instance for default merging logic.
-        # Process mode specifically uses OpenaiConfig, so we establish a base default.
-        if isinstance(default_server_configs, list):
-            # Use the first if available and is OpenaiConfig, otherwise use a base OpenaiConfig
-            default_openai_config = (
-                default_server_configs[0]
-                if default_server_configs
-                and isinstance(default_server_configs[0], OpenaiConfig)
-                else OpenaiConfig()
-            )
-        elif isinstance(default_server_configs, OpenaiConfig):
-            default_openai_config = default_server_configs
-        else:
-            # If config_init returned ServerBaseline or something else, use a base OpenaiConfig for defaults
-            default_openai_config = OpenaiConfig()
+        (
+            default_env_config,
+            default_openai_config,
+        ) = cls.config_init()
 
         # Define namespace prefixes
         env_full_prefix = f"{ENV_NAMESPACE}{NAMESPACE_SEP}"
@@ -1207,12 +1194,30 @@ class BaseEnv(ABC):
                 )
 
                 # 2. OpenAI Configuration
-                openai_config_dict = merge_dicts(
-                    default_openai_config.model_dump(),  # Class Defaults (adjusted to be OpenaiConfig)
-                    PROCESS_MODE_OPENAI_DEFAULT_CONFIG.model_dump(),  # Process Mode Defaults
-                    yaml_config.get(OPENAI_NAMESPACE, {}),  # YAML config
-                    extract_namespace(cli_passed_flags, openai_full_prefix),  # CLI args
-                )
+                if (
+                    isinstance(default_openai_config, list)
+                    and len(default_openai_config) == 1
+                ):
+                    # can't use the same var name because it shadows the class variable and we get an error
+                    default_openai_config_ = default_openai_config[0]
+                else:
+                    default_openai_config_ = default_openai_config
+                yaml_oai_config = yaml_config.get(OPENAI_NAMESPACE, {})
+                if isinstance(yaml_oai_config, list) and len(yaml_oai_config) == 1:
+                    yaml_oai_config = yaml_oai_config[0]
+                if isinstance(default_openai_config_, OpenaiConfig) and isinstance(
+                    yaml_oai_config, dict
+                ):
+                    openai_config_dict = merge_dicts(
+                        default_openai_config_.model_dump(),  # Default OpenaiConfig (or from class init)
+                        PROCESS_MODE_OPENAI_DEFAULT_CONFIG.model_dump(),  # Process Mode Defaults
+                        yaml_oai_config,
+                        extract_namespace(
+                            cli_passed_flags, openai_full_prefix
+                        ),  # CLI args
+                    )
+                else:
+                    openai_config_dict = {}
 
                 # 3. Server Manager Configuration
                 # Extract only relevant CLI flags
@@ -1248,7 +1253,7 @@ class BaseEnv(ABC):
                 # Determine the final server_configs, handling single, multiple servers, and overrides.
 
                 openai_configs = resolve_openai_configs(
-                    default_server_configs=default_server_configs,
+                    default_server_configs=default_openai_config,
                     openai_config_dict=openai_config_dict,
                     yaml_config=yaml_config,
                     cli_passed_flags=cli_passed_flags,
diff --git a/atroposlib/utils/cli.py b/atroposlib/utils/cli.py
index a20b6d6d..1ca6082f 100644
--- a/atroposlib/utils/cli.py
+++ b/atroposlib/utils/cli.py
@@ -156,24 +156,41 @@ def get_double_dash_flags() -> Dict[str, Any]:
 
         # Remove '--' prefix
         key_part = arg[2:]
+        key = ""
+        value_str = (
+            None  # Variable to hold the string value before potential conversion
+        )
 
         # Check for '--key=value' format
         if "=" in key_part:
-            key, value = key_part.split("=", 1)
-            if key:  # Ensure key is not empty (e.g. --=value)
-                flags_dict[key] = value
+            key, value_str = key_part.split("=", 1)
+            if not key:  # Ensure key is not empty (e.g. --=value)
+                i += 1
+                continue  # Skip if key is empty
+
+            # Process value: Convert "None" string to None object
+            if value_str == "None":
+                flags_dict[key] = None
+            else:
+                flags_dict[key] = value_str
             i += 1
         # Check if next argument exists and is a value (doesn't start with '-')
         elif i + 1 < len(args) and not args[i + 1].startswith("-"):
             key = key_part
-            value = args[i + 1]
-            flags_dict[key] = value
+            value_str = args[i + 1]
+
+            # Process value: Convert "None" string to None object
+            if value_str == "None":
+                flags_dict[key] = None
+            else:
+                flags_dict[key] = value_str
             # Skip the next argument since we've consumed it as a value
             i += 2
         # Otherwise, treat as a boolean flag
         else:
             key = key_part
-            flags_dict[key] = True
+            if key:  # Ensure key is not empty (e.g. just '--')
+                flags_dict[key] = True
             i += 1
 
     return flags_dict

From 1d35b9d6265add5ab33775d89103b7a6ab24e252 Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Sat, 3 May 2025 16:26:35 -0700
Subject: [PATCH 08/13] remove comment

---
 atroposlib/envs/base.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index f856db45..0d3fe8f9 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -1212,9 +1212,7 @@ class BaseEnv(ABC):
                         default_openai_config_.model_dump(),  # Default OpenaiConfig (or from class init)
                         PROCESS_MODE_OPENAI_DEFAULT_CONFIG.model_dump(),  # Process Mode Defaults
                         yaml_oai_config,
-                        extract_namespace(
-                            cli_passed_flags, openai_full_prefix
-                        ),  # CLI args
+                        extract_namespace(cli_passed_flags, openai_full_prefix),
                     )
                 else:
                     openai_config_dict = {}

From 38575d7029f92a2340fc89c1e003bfd38d1616cb Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Tue, 6 May 2025 22:29:34 -0400
Subject: [PATCH 09/13] not supported warning for server baseline

---
 README.md               |  4 ++--
 atroposlib/envs/base.py | 14 ++++++++++++++
 2 files changed, 16 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index ea70cae6..63c4a726 100644
--- a/README.md
+++ b/README.md
@@ -174,8 +174,8 @@ pre-commit install
    ```bash
    python environments/gsm8k_server.py serve --openai.model_name Qwen/Qwen2.5-1.5B-Instruct --slurm false
    # alternatively
-   # python environments/gsm8k_server.py serve --config configs/example.yaml
-   # python environments/gsm8k_server.py serve --config configs/example.yaml --env.group_size 8 # cli args override config settings
+   # python environments/gsm8k_server.py serve --config environments/configs/example.yaml
+   # python environments/gsm8k_server.py serve --config environments/configs/example.yaml --env.group_size 8 # cli args override corresponding config settings
    ```
 3. **Query the the API (Optional)**
 
diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index 0d3fe8f9..6e51ed73 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -996,6 +996,13 @@ class BaseEnv(ABC):
                 # Get CLI flags passed with double dashes (e.g., --env--foo bar)
                 cli_passed_flags = get_double_dash_flags()
 
+                if cli_passed_flags and isinstance(
+                    default_server_configs, ServerBaseline
+                ):
+                    raise ValueError(
+                        "ServerBaseline currently does not support CLI arguments. Please edit `config_init` directly or use OpenaiConfig."  # noqa: E501
+                    )
+
                 # --- Configuration Merging ---
                 # Priority: CLI > YAML > Class Defaults
 
@@ -1182,6 +1189,13 @@ class BaseEnv(ABC):
                 # Get CLI flags passed with double dashes
                 cli_passed_flags = get_double_dash_flags()
 
+                if cli_passed_flags and isinstance(
+                    default_openai_config, ServerBaseline
+                ):
+                    raise ValueError(
+                        "ServerBaseline currently does not support CLI arguments. Please edit `config_init` directly or use OpenaiConfig."  # noqa: E501
+                    )
+
                 # --- Configuration Merging ---
                 # Priority: CLI > YAML > Process Mode Defaults > `config_init` defaults
 

From ec6b86bb5d6142cb504cc0f80ab2cbafc940c6f2 Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Wed, 7 May 2025 14:51:51 -0400
Subject: [PATCH 10/13] unbreak ServerBaseline

---
 atroposlib/envs/base.py | 54 ++++++++++++++++-------------------------
 1 file changed, 21 insertions(+), 33 deletions(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index 6e51ed73..bdab19bf 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -939,17 +939,6 @@ class BaseEnv(ABC):
         # Get the default configurations defined by the specific environment class
         default_env_config, default_server_configs = cls.config_init()
 
-        # Determine a default OpenaiConfig instance for merging purposes,
-        # even if the actual default is ServerBaseline or a list.
-        # This allows overriding with OpenAI settings via CLI/YAML consistently.
-        default_openai_config = OpenaiConfig()  # Base default
-        if isinstance(default_server_configs, OpenaiConfig):
-            default_openai_config = default_server_configs
-        elif isinstance(default_server_configs, list) and default_server_configs:
-            # If the default is a list, use the first item if it's OpenaiConfig
-            if isinstance(default_server_configs[0], OpenaiConfig):
-                default_openai_config = default_server_configs[0]
-
         # Define namespace prefixes for CLI arguments and YAML keys
         env_full_prefix = f"{ENV_NAMESPACE}{NAMESPACE_SEP}"
         openai_full_prefix = f"{OPENAI_NAMESPACE}{NAMESPACE_SEP}"
@@ -996,13 +985,6 @@ class BaseEnv(ABC):
                 # Get CLI flags passed with double dashes (e.g., --env--foo bar)
                 cli_passed_flags = get_double_dash_flags()
 
-                if cli_passed_flags and isinstance(
-                    default_server_configs, ServerBaseline
-                ):
-                    raise ValueError(
-                        "ServerBaseline currently does not support CLI arguments. Please edit `config_init` directly or use OpenaiConfig."  # noqa: E501
-                    )
-
                 # --- Configuration Merging ---
                 # Priority: CLI > YAML > Class Defaults
 
@@ -1014,15 +996,22 @@ class BaseEnv(ABC):
                 )
 
                 # 2. OpenAI Configuration (used for potential overrides)
+                oai_cli_passed_args = (
+                    extract_namespace(cli_passed_flags, openai_full_prefix),
+                )  # CLI args
                 yaml_oai_config = yaml_config.get(OPENAI_NAMESPACE, {})
+                if oai_cli_passed_args or yaml_oai_config:
+                    raise ValueError(
+                        "ServerBaseline is not compatible with OpenAI-namespaced CLI arguments. Please edit `config_init` directly or use OpenaiConfig."  # noqa: E501
+                    )
                 if (
-                    isinstance(default_openai_config, list)
-                    and len(default_openai_config) == 1
+                    isinstance(default_server_configs, list)
+                    and len(default_server_configs) == 1
                 ):
                     # can't use the same var name because it shadows the class variable and we get an error
-                    default_openai_config_ = default_openai_config[0]
+                    default_openai_config_ = default_server_configs[0]
                 else:
-                    default_openai_config_ = default_openai_config
+                    default_openai_config_ = default_server_configs
                 if isinstance(yaml_oai_config, list) and len(yaml_oai_config) == 1:
                     yaml_oai_config = yaml_oai_config[0]
                 if isinstance(default_openai_config_, OpenaiConfig) and isinstance(
@@ -1031,9 +1020,7 @@ class BaseEnv(ABC):
                     openai_config_dict = merge_dicts(
                         default_openai_config_.model_dump(),  # Default OpenaiConfig (or from class init)
                         yaml_oai_config,
-                        extract_namespace(
-                            cli_passed_flags, openai_full_prefix
-                        ),  # CLI args
+                        oai_cli_passed_args,
                     )
                 else:
                     openai_config_dict = {}
@@ -1189,13 +1176,6 @@ class BaseEnv(ABC):
                 # Get CLI flags passed with double dashes
                 cli_passed_flags = get_double_dash_flags()
 
-                if cli_passed_flags and isinstance(
-                    default_openai_config, ServerBaseline
-                ):
-                    raise ValueError(
-                        "ServerBaseline currently does not support CLI arguments. Please edit `config_init` directly or use OpenaiConfig."  # noqa: E501
-                    )
-
                 # --- Configuration Merging ---
                 # Priority: CLI > YAML > Process Mode Defaults > `config_init` defaults
 
@@ -1208,6 +1188,15 @@ class BaseEnv(ABC):
                 )
 
                 # 2. OpenAI Configuration
+                oai_cli_passed_args = (
+                    extract_namespace(cli_passed_flags, openai_full_prefix),
+                )  # CLI args
+                yaml_oai_config = yaml_config.get(OPENAI_NAMESPACE, {})
+                if oai_cli_passed_args or yaml_oai_config:
+                    raise ValueError(
+                        "ServerBaseline is not compatible with OpenAI-namespaced CLI arguments. Please edit `config_init` directly or use OpenaiConfig."  # noqa: E501
+                    )
+
                 if (
                     isinstance(default_openai_config, list)
                     and len(default_openai_config) == 1
@@ -1216,7 +1205,6 @@ class BaseEnv(ABC):
                     default_openai_config_ = default_openai_config[0]
                 else:
                     default_openai_config_ = default_openai_config
-                yaml_oai_config = yaml_config.get(OPENAI_NAMESPACE, {})
                 if isinstance(yaml_oai_config, list) and len(yaml_oai_config) == 1:
                     yaml_oai_config = yaml_oai_config[0]
                 if isinstance(default_openai_config_, OpenaiConfig) and isinstance(

From 0373005175e113d21a7340c884a59c9e80d983cc Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Wed, 7 May 2025 15:09:34 -0400
Subject: [PATCH 11/13] forgot to condition on is ServerBaseline instance

---
 atroposlib/envs/base.py | 20 ++++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index bdab19bf..7b4eab14 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -1000,7 +1000,9 @@ class BaseEnv(ABC):
                     extract_namespace(cli_passed_flags, openai_full_prefix),
                 )  # CLI args
                 yaml_oai_config = yaml_config.get(OPENAI_NAMESPACE, {})
-                if oai_cli_passed_args or yaml_oai_config:
+                if isinstance(default_server_configs, ServerBaseline) and (
+                    oai_cli_passed_args or yaml_oai_config
+                ):
                     raise ValueError(
                         "ServerBaseline is not compatible with OpenAI-namespaced CLI arguments. Please edit `config_init` directly or use OpenaiConfig."  # noqa: E501
                     )
@@ -1115,7 +1117,7 @@ class BaseEnv(ABC):
         # Get the base default configurations from the specific environment class
         (
             default_env_config,
-            default_openai_config,
+            default_server_configs,
         ) = cls.config_init()
 
         # Define namespace prefixes
@@ -1192,19 +1194,21 @@ class BaseEnv(ABC):
                     extract_namespace(cli_passed_flags, openai_full_prefix),
                 )  # CLI args
                 yaml_oai_config = yaml_config.get(OPENAI_NAMESPACE, {})
-                if oai_cli_passed_args or yaml_oai_config:
+                if isinstance(default_server_configs, ServerBaseline) and (
+                    oai_cli_passed_args or yaml_oai_config
+                ):
                     raise ValueError(
                         "ServerBaseline is not compatible with OpenAI-namespaced CLI arguments. Please edit `config_init` directly or use OpenaiConfig."  # noqa: E501
                     )
 
                 if (
-                    isinstance(default_openai_config, list)
-                    and len(default_openai_config) == 1
+                    isinstance(default_server_configs, list)
+                    and len(default_server_configs) == 1
                 ):
                     # can't use the same var name because it shadows the class variable and we get an error
-                    default_openai_config_ = default_openai_config[0]
+                    default_openai_config_ = default_server_configs[0]
                 else:
-                    default_openai_config_ = default_openai_config
+                    default_openai_config_ = default_server_configs
                 if isinstance(yaml_oai_config, list) and len(yaml_oai_config) == 1:
                     yaml_oai_config = yaml_oai_config[0]
                 if isinstance(default_openai_config_, OpenaiConfig) and isinstance(
@@ -1253,7 +1257,7 @@ class BaseEnv(ABC):
                 # Determine the final server_configs, handling single, multiple servers, and overrides.
 
                 openai_configs = resolve_openai_configs(
-                    default_server_configs=default_openai_config,
+                    default_server_configs=default_server_configs,
                     openai_config_dict=openai_config_dict,
                     yaml_config=yaml_config,
                     cli_passed_flags=cli_passed_flags,

From cdf5a9baa9aa9181dea14718b2455bd759d48a19 Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Wed, 7 May 2025 15:22:01 -0400
Subject: [PATCH 12/13] remove ,

---
 atroposlib/envs/base.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index 7b4eab14..3b7f8c3c 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -996,8 +996,8 @@ class BaseEnv(ABC):
                 )
 
                 # 2. OpenAI Configuration (used for potential overrides)
-                oai_cli_passed_args = (
-                    extract_namespace(cli_passed_flags, openai_full_prefix),
+                oai_cli_passed_args = extract_namespace(
+                    cli_passed_flags, openai_full_prefix
                 )  # CLI args
                 yaml_oai_config = yaml_config.get(OPENAI_NAMESPACE, {})
                 if isinstance(default_server_configs, ServerBaseline) and (
@@ -1190,8 +1190,8 @@ class BaseEnv(ABC):
                 )
 
                 # 2. OpenAI Configuration
-                oai_cli_passed_args = (
-                    extract_namespace(cli_passed_flags, openai_full_prefix),
+                oai_cli_passed_args = extract_namespace(
+                    cli_passed_flags, openai_full_prefix
                 )  # CLI args
                 yaml_oai_config = yaml_config.get(OPENAI_NAMESPACE, {})
                 if isinstance(default_server_configs, ServerBaseline) and (
@@ -1218,7 +1218,7 @@ class BaseEnv(ABC):
                         default_openai_config_.model_dump(),  # Default OpenaiConfig (or from class init)
                         PROCESS_MODE_OPENAI_DEFAULT_CONFIG.model_dump(),  # Process Mode Defaults
                         yaml_oai_config,
-                        extract_namespace(cli_passed_flags, openai_full_prefix),
+                        oai_cli_passed_args,
                     )
                 else:
                     openai_config_dict = {}

From 9415cadc53ffbd56e145fe793b7ee65a92e53e71 Mon Sep 17 00:00:00 2001
From: hjc-puro <hjcpuro@gmail.com>
Date: Thu, 8 May 2025 06:54:43 -0700
Subject: [PATCH 13/13] fix cls name

---
 atroposlib/envs/base.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/atroposlib/envs/base.py b/atroposlib/envs/base.py
index 3b7f8c3c..cdc4a27b 100644
--- a/atroposlib/envs/base.py
+++ b/atroposlib/envs/base.py
@@ -1101,7 +1101,7 @@ class BaseEnv(ABC):
             total_steps=2,
             ensure_scores_are_not_same=False,
             include_messages=True,
-            data_path_to_save_groups="data/{cls.name or 'groups'}.jsonl",
+            data_path_to_save_groups=f"data/{cls.name or 'groups'}.jsonl",
             use_wandb=True,
         )
         PROCESS_MODE_OPENAI_DEFAULT_CONFIG = OpenaiConfig(