Fosowl/agenticSeek · error · AuthenticationError
Authentication failed. Please check your token.
Error message
Authentication failed. Please check your token.
What it means
dsk_deepseek (using the unofficial xtekky/deepseek4free API) catches AuthenticationError from the session/chat calls and re-raises it with a fixed message: 'Authentication failed. Please check your token.' This means the DSK_DEEPSEEK_API_KEY/token was rejected by the DeepSeek backend.
Source
Thrown at sources/llm_provider.py:498
DeepSeekAPI,
AuthenticationError,
RateLimitError,
NetworkError,
CloudflareError,
APIError
)
thought = ""
message = '\n---\n'.join([f"{msg['role']}: {msg['content']}" for msg in history])
try:
api = DeepSeekAPI(self.api_key)
chat_id = api.create_chat_session()
for chunk in api.chat_completion(chat_id, message):
if chunk['type'] == 'text':
thought += chunk['content']
return thought
except AuthenticationError as e:
raise AuthenticationError("Authentication failed. Please check your token.") from e
except RateLimitError as e:
raise RateLimitError("Rate limit exceeded. Please wait before making more requests.") from e
except CloudflareError as e:
raise CloudflareError(f"Cloudflare protection encountered: {str(e)}") from e
except NetworkError as e:
raise NetworkError("Network error occurred. Check your internet connection.") from e
except APIError as e:
raise APIError(f"API error occurred: {str(e)}") from e
return None
def litellm_fn(self, history, verbose=False):
"""
Use LiteLLM AI gateway for completion.
Routes to 100+ providers (OpenAI, Anthropic, Azure, Bedrock,
Vertex AI, Groq, Together, Ollama, etc.) based on model prefix.
See https://docs.litellm.ai/docs/providers
"""
try:View on GitHub (pinned to ae57a23577)
Solutions
- Set a valid DSK_DEEPSEEK_API_KEY in your .env and confirm load_dotenv() loads it (print os.getenv to verify)
- Regenerate the token from the deepseek4free source if it expired
- Strip quotes/whitespace around the token value in .env
- Update/reinstall the deepseek4free package in case DeepSeek changed its auth scheme
- Catch AuthenticationError in your code and prompt the user to fix their token
Example fix
// before (.env) DSK_DEEPSEEK_API_KEY="' abc123 '" // after (.env) DSK_DEEPSEEK_API_KEY=abc123
Defensive patterns
Strategy: try-catch
Validate before calling
import os
def deepseek_token_ready():
tok = os.getenv('DSK_DEEPSEEK_API_KEY')
return bool(tok and tok.strip() == tok and tok not in ('', 'None')) Try / catch
try:
out = provider.dsk_deepseek(history)
except AuthenticationError:
log.error('DeepSeek token rejected - refresh DSK_DEEPSEEK_API_KEY in .env')
# prompt user / reconfigure before retrying Prevention
- Set DSK_DEEPSEEK_API_KEY in .env and verify load_dotenv() picks it up
- Avoid quotes/whitespace around token values
- Refresh tokens proactively; unofficial free tokens expire
- Keep deepseek4free updated for auth-flow changes
- Validate token presence at application startup
When it happens
Trigger: Calling dsk_deepseek when api.create_chat_session() or api.chat_completion raises AuthenticationError — i.e. the token in DSK_DEEPSEEK_API_KEY is missing, expired, revoked, or malformed.
Common situations: DSK_DEEPSEEK_API_KEY not set in .env (load_dotenv didn't find it); token expired on the unofficial free API; DeepSeek changed its auth flow breaking the unofficial library; token copied with whitespace/quotes.
Understand the failure class
- Authentication and authorization failures — expired tokens, bad credentials, and missing scopes.
Related errors
- Invalid API token
- OpenAI API error: {str(e)}
- Anthropic API error: {str(e)}
- Deepseek (API) is not available for local use. Change config
- Deepseek API error: {str(e)}
AI-assisted analysis of Fosowl/agenticSeek@ae57a23577 (2026-08-30).
Data as JSON: /api/errors/4f461eb36977e1b4.
Report an issue: GitHub.