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Better unknown model warnings
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parent
f1ce673f78
commit
efd3c39e50
4 changed files with 125 additions and 69 deletions
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@ -137,10 +137,13 @@ class Coder:
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self.main_model = main_model
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weak_model = main_model.weak_model
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self.io.tool_output(
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f"Models: {main_model.name} with {self.edit_format} edit format, weak model"
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f" {weak_model.name}"
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)
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prefix = "Model:"
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output = f" {main_model.name} with {self.edit_format} edit format"
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if weak_model is not main_model:
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prefix = "Models:"
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output += f", weak model {weak_model.name}"
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self.io.tool_output(prefix + output)
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self.show_diffs = show_diffs
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@ -21,6 +21,36 @@ os.environ["OR_SITE_URL"] = "http://aider.chat"
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os.environ["OR_APP_NAME"] = "Aider"
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def sanity_check_model(io, model):
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show = False
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if model.missing_keys:
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show = True
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io.tool_error(f"Model {model}: Missing these environment variables:")
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for key in model.missing_keys:
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io.tool_error(f"- {key}")
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elif not model.keys_in_environment:
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show = True
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io.tool_error(f"Model {model}: Unknown which environment variables are required.")
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if not model.info:
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show = True
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io.tool_error(
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f"Model {model}: Unknown model, context window size and token costs unavailable."
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)
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possible_matches = models.fuzzy_match_models(model.name)
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if possible_matches:
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io.tool_error("Did you mean one of these?")
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for match in possible_matches:
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io.tool_error(f"- {match}")
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if show:
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io.tool_error("For more info see https://aider.chat/docs/llms.html#model-warnings")
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return False
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def get_git_root():
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"""Try and guess the git repo, since the conf.yml can be at the repo root"""
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try:
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@ -277,7 +307,7 @@ def main(argv=None, input=None, output=None, force_git_root=None):
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model_group.add_argument(
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"--require-model-info",
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action=argparse.BooleanOptionalAction,
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default=True,
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default=False,
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help="Only work with models that have meta-data available (default: True)",
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)
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model_group.add_argument(
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@ -602,13 +632,15 @@ def main(argv=None, input=None, output=None, force_git_root=None):
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if args.openai_organization_id:
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os.environ["OPENAI_ORGANIZATION"] = args.openai_organization_id
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# Check in advance that we have model metadata
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try:
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main_model = models.Model(
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args.model, weak_model=args.weak_model, require_model_info=args.require_model_info
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)
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except (models.NoModelInfo, models.ModelEnvironmentError) as err:
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io.tool_error(str(err))
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main_model = models.Model(args.model, weak_model=args.weak_model)
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missing_model_info = False
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if not sanity_check_model(io, main_model):
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missing_model_info = True
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if main_model.weak_model and main_model.weak_model is not main_model:
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if not sanity_check_model(io, main_model.weak_model):
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missing_model_info = True
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if args.require_model_info and missing_model_info:
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return 1
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try:
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@ -13,24 +13,6 @@ from aider.dump import dump # noqa: F401
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DEFAULT_MODEL_NAME = "gpt-4-1106-preview"
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class NoModelInfo(Exception):
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"""
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Exception raised when model information cannot be retrieved.
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"""
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def __init__(self, model):
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super().__init__(check_model_name(model))
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class ModelEnvironmentError(Exception):
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"""
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Exception raised when the environment isn't setup for the model
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"""
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def __init__(self, message):
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super().__init__(message)
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@dataclass
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class ModelSettings:
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name: str
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@ -164,30 +146,18 @@ class Model:
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max_chat_history_tokens = 1024
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weak_model = None
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def __init__(self, model, weak_model=None, require_model_info=True, validate_environment=True):
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def __init__(self, model, weak_model=None):
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self.name = model
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# Are all needed keys/params available?
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res = litellm.validate_environment(model)
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missing_keys = res.get("missing_keys")
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keys_in_environment = res.get("keys_in_environment")
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if missing_keys:
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if validate_environment:
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res = f"To use model {model}, please set these environment variables:"
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for key in missing_keys:
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res += f"- {key}"
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raise ModelEnvironmentError(res)
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elif not keys_in_environment:
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# https://github.com/BerriAI/litellm/issues/3190
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print(f"Unable to check environment variables for model {model}")
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self.missing_keys = res.get("missing_keys")
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self.keys_in_environment = res.get("keys_in_environment")
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# Do we have the model_info?
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try:
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self.info = litellm.get_model_info(model)
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except Exception:
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if require_model_info:
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raise NoModelInfo(model)
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self.info = dict()
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if self.info.get("max_input_tokens", 0) < 32 * 1024:
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@ -199,7 +169,7 @@ class Model:
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if weak_model is False:
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self.weak_model_name = None
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else:
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self.get_weak_model(weak_model, require_model_info)
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self.get_weak_model(weak_model)
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def configure_model_settings(self, model):
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for ms in MODEL_SETTINGS:
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@ -210,7 +180,9 @@ class Model:
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setattr(self, field.name, val)
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return # <--
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if "llama3" in model and "70b" in model:
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model = model.lower()
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if ("llama3" in model or "llama-3" in model) and "70b" in model:
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self.edit_format = "diff"
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self.use_repo_map = True
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self.send_undo_reply = True
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@ -235,7 +207,7 @@ class Model:
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def __str__(self):
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return self.name
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def get_weak_model(self, provided_weak_model_name, require_model_info):
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def get_weak_model(self, provided_weak_model_name):
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# If weak_model_name is provided, override the model settings
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if provided_weak_model_name:
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self.weak_model_name = provided_weak_model_name
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@ -251,7 +223,6 @@ class Model:
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self.weak_model = Model(
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self.weak_model_name,
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weak_model=False,
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require_model_info=require_model_info,
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)
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return self.weak_model
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@ -313,19 +284,6 @@ class Model:
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return img.size
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def check_model_name(model):
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res = f"Unknown model {model}"
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possible_matches = fuzzy_match_models(model)
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if possible_matches:
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res += ", did you mean one of these?"
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for match in possible_matches:
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res += "\n- " + match
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return res
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def fuzzy_match_models(name):
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models = litellm.model_cost.keys()
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77
docs/llms.md
77
docs/llms.md
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@ -29,6 +29,7 @@ So you should expect that models which are less capable than GPT-3.5 may struggl
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- [OpenRouter](#openrouter)
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- [OpenAI compatible APIs](#openai-compatible-apis)
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- [Other LLMs](#other-llms)
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- [Model warnings](#model-warnings)
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- [Editing format](#editing-format)
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## OpenAI
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@ -136,15 +137,19 @@ aider --model openrouter/<provider>/<model>
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## OpenAI compatible APIs
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If your LLM is accessible via an OpenAI compatible API endpoint,
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you can use `--openai-api-base` to have aider connect to it.
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Aider can connect to any LLM which is accessible via an OpenAI compatible API endpoint.
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Use `--openai-api-base` or set the `OPENAI_API_BASE`
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environment variable to have aider connect to it.
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You might need to use `--no-require-model-info` if aider doesn't
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recognize the model you want to use.
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For unknown models, aider won't have normal metadata available like
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the context window size, token costs, etc.
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Some minor functionality will be limited when using such models.
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```
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export OPENAI_API_BASE=<your-endpoint-goes-here>
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export OPENAI_API_KEY=<your-key-goes-here-if-required>
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aider --model <model-name>
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```
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See the [Model warnings](#model-warnings)
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section for information on warnings which will occur
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when working with models that aider is not familiar with.
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## Other LLMs
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@ -178,6 +183,64 @@ error message listing which parameters are needed.
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See the [list of providers supported by litellm](https://docs.litellm.ai/docs/providers)
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for more details.
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## Model warnings
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On startup, aider tries to sanity check that it is configured correctly
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to work with the specified models:
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- It checks to see that all required environment variables are set for the model. These variables are required to configure things like API keys, API base URLs, etc.
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- It checks a metadata database to look up the context window size and token costs for the model.
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Sometimes one or both of these checks will fail, so aider will issue
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some of the following warnings.
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##### Missing environment variables
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You need to set the listed variables.
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Otherwise you will get error messages when you attempt to chat with the model.
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```
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Model azure/gpt-4-turbo: Missing these environment variables:
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- AZURE_API_BASE
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- AZURE_API_VERSION
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- AZURE_API_KEY
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```
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##### Unknown which environment variables are required
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Aider is unable verify the environment because it doesn't know
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which variables are required for the model.
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If required variables are missing,
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you may get errors when you attempt to chat with the model.
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You can look in the
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[litellm provider documentation](https://docs.litellm.ai/docs/providers)
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to see if the required variables are listed there.
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```
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Model gpt-5: Unknown which environment variables are required.
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```
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##### Unknown model, did you mean?
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If you specify a model that aider has never heard of, you will get an
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"unknown model" warning.
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In this case, aider won't have normal metadata available like
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the context window size, token costs, etc.
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Some minor functionality will be limited when using such models, but
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it's not really a significant problem.
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Aider will also try to suggest similarly named models,
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in case you made a typo or mistake when specifying the model name.
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```
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Model gpt-5: Unknown model, context window size and token costs unavailable.
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Did you mean one of these?
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- gpt-4
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```
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## Editing format
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