Fosowl/agenticSeek · error · ModuleNotFoundError
{str(e)} A import related to provider {self.provider_name} w
Error message
{str(e)}
A import related to provider {self.provider_name} was not found. Is it installed ? What it means
In Provider.respond (sources/llm_provider.py:92), a ModuleNotFoundError raised inside a provider function is re-raised with the message 'A import related to provider <name> was not found. Is it installed ?'. The library wraps it to tell the user that a Python package required by the selected provider is missing from the environment.
Source
Thrown at sources/llm_provider.py:92
return url, True
def respond(self, history, verbose=True):
"""
Use the choosen provider to generate text.
"""
llm = self.available_providers[self.provider_name]
self.logger.info(f"Using provider: {self.provider_name} at {self.server_ip}")
try:
thought = llm(history, verbose)
except KeyboardInterrupt:
self.logger.warning("User interrupted the operation with Ctrl+C")
return "Operation interrupted by user. REQUEST_EXIT"
except ConnectionError as e:
raise ConnectionError(f"{str(e)}\nConnection to {self.server_ip} failed.")
except AttributeError as e:
raise NotImplementedError(f"{str(e)}\nIs {self.provider_name} implemented ?")
except ModuleNotFoundError as e:
raise ModuleNotFoundError(
f"{str(e)}\nA import related to provider {self.provider_name} was not found. Is it installed ?")
except Exception as e:
if "try again later" in str(e).lower():
return f"{self.provider_name} server is overloaded. Please try again later."
if "refused" in str(e):
return f"Server {self.server_ip} seem offline. Unable to answer."
raise Exception(f"Provider {self.provider_name} failed: {str(e)}") from e
return thought
def is_ip_online(self, address: str, timeout: int = 10) -> bool:
"""
Check if an address is online by sending a ping request.
"""
if not address:
return False
parsed = urlparse(address if address.startswith(('http://', 'https://')) else f'http://{address}')
hostname = parsed.hostname or addressView on GitHub (pinned to ae57a23577)
Solutions
- Install the missing module named in the error text, e.g. pip install anthropic / together / huggingface_hub / litellm.
- Confirm pip installs into the same interpreter running the app (python -m pip install ... or activate the correct venv).
- If running in Docker, rebuild the image so the new dependency is baked in, and check DOCKER_INTERNAL_URL-era images include optional provider extras.
- Check for a missing transitive dependency: install the provider's package with its extras (e.g. pip install 'litellm[proxy]').
Example fix
// before $ python main.py # ModuleNotFoundError: No module named 'anthropic' // after $ pip install anthropic $ python main.py
Defensive patterns
Strategy: validation
Validate before calling
import importlib.util
PROVIDER_MODULES = {
'huggingface': 'huggingface_hub',
'together': 'together',
'anthropic': 'anthropic',
'litellm': 'litellm',
'dsk_deepseek': 'dsk',
}
def assert_provider_installed(provider_name: str):
mod = PROVIDER_MODULES.get(provider_name)
if mod and importlib.util.find_spec(mod) is None:
raise SystemExit(
f"Provider '{provider_name}' needs package '{mod}'. "
f"Install it with: pip install {mod}"
) Type guard
def is_module_available(name: str) -> bool:
import importlib.util
try:
return importlib.util.find_spec(name) is not None
except (ImportError, ValueError):
return False Try / catch
try:
res = provider.respond(history)
except ModuleNotFoundError as e:
print(f"Missing dependency: {e.name}. Run: pip install {e.name}")
sys.exit(1) Prevention
- Install all provider extras up front (pip install -r requirements.txt plus optional provider packages you plan to use).
- Always install with the same interpreter that runs the app: python -m pip install ...
- In Docker, add provider packages to the image and rebuild rather than pip-installing at runtime.
- Validate required packages at startup (find_spec check) instead of failing mid-conversation.
When it happens
Trigger: A provider function performs a lazy import that fails, e.g. 'from huggingface_hub import InferenceClient' (huggingface_fn), 'from together import Together' (together_fn), 'from anthropic import Anthropic' (anthropic_fn), 'from dsk.api import ...' (dsk_deepseek), or 'import litellm' (litellm_fn), while respond() is dispatching that provider.
Common situations: Running in a virtualenv or Docker container where optional provider packages weren't installed; installing with pip while the app runs with a different Python interpreter; a fresh clone where only core requirements were installed; deployment images trimmed of cloud SDKs.
Related errors
- litellm is not installed. Install with: pip install litellm
- Model not set
- Ollama connection failed. is the server running ?
- Tool must be a callable object (a method)
- Prompt file not found at path: {file_path}
AI-assisted analysis of Fosowl/agenticSeek@ae57a23577 (2026-08-30).
Data as JSON: /api/errors/b65991d08fe5207d.
Report an issue: GitHub.