Fosowl/agenticSeek · warning · RateLimitError

Rate limit exceeded. Please wait before making more…

Error message

Rate limit exceeded. Please wait before making more requests.

What it means

dsk_deepseek catches RateLimitError from the deepseek4free API and re-raises 'Rate limit exceeded. Please wait before making more requests.' The free unofficial endpoint throttles request frequency, and this fires when you exceed that allowance.

Solutions

  1. Wait (e.g. 60s or longer) before retrying; use exponential backoff on RateLimitError
  2. Reduce request frequency / add rate limiting in your application loop
  3. Use a different token or upgrade to an official DeepSeek API key for higher limits
  4. Catch RateLimitError explicitly and queue/schedule the request instead of failing hard

Example fix

// before
for h in histories:
    out = provider.generate(h)  # hammers API, RateLimitError
// after
import time
for h in histories:
    try:
        out = provider.generate(h)
    except RateLimitError:
        time.sleep(60)
        out = provider.generate(h)
Defensive patterns

Strategy: retry

Try / catch

import time
def call_with_backoff(fn, attempts=4):
    for i in range(attempts):
        try:
            return fn()
        except RateLimitError:
            if i == attempts - 1:
                raise
            time.sleep(2 ** i * 30)

Prevention

When it happens

Trigger: Calling dsk_deepseek too frequently — api.create_chat_session() or api.chat_completion raises RateLimitError because the token/IP exceeded the backend's request quota or per-minute throttle.

Common situations: Tight loops generating many completions; multiple workers/scripts sharing one free token; automated test suites hitting the API repeatedly; shared free-tier capacity exhausted at peak times.

Related errors

AI-assisted analysis of Fosowl/agenticSeek@ae57a23577 (2026-08-30). Data as JSON: /api/errors/b0056d6ac4a23284. Report an issue: GitHub.

Appendix: source

Thrown at sources/llm_provider.py:500

            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:
            import litellm
        except ImportError as e:

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