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Fetch the complete documentation index at: https://docs.memv.ai/llms.txt

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The Mem[v] SDK provides comprehensive error handling with specific exception types for different error scenarios.

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Exception types

import memvai

# Base exception
memvai.APIError

# Connection errors
memvai.APIConnectionError
memvai.APITimeoutError

# Status code errors
memvai.BadRequestError        # 400
memvai.AuthenticationError    # 401
memvai.PermissionDeniedError  # 403
memvai.NotFoundError          # 404
memvai.UnprocessableEntityError  # 422
memvai.RateLimitError         # 429
memvai.InternalServerError    # 500+

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Basic error handling

import memvai
from memvai import Memv

client = Memv()

try:
    spaces = client.spaces.list()
except memvai.APIError as e:
    print(f"API Error: {e.message}")

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Handle specific errors

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Authentication errors

try:
    client = Memv(api_key="invalid_key")
    spaces = client.spaces.list()
except memvai.AuthenticationError:
    print("Invalid API key - check your credentials")

​
Not found errors

try:
    space = client.spaces.retrieve(space_id="non_existent")
except memvai.NotFoundError:
    print("Space not found")
    # Create the space or handle missing resource

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Rate limiting

import time

try:
    for i in range(1000):
        client.memories.add(
            space_id="space_abc123",
            content=f"Memory {i}"
        )
except memvai.RateLimitError as e:
    print("Rate limit exceeded")
    retry_after = e.response.headers.get('Retry-After', 60)
    print(f"Waiting {retry_after} seconds...")
    time.sleep(int(retry_after))

​
Access error details

try:
    client.spaces.create(name="")
except memvai.APIStatusError as e:
    print(f"Status: {e.status_code}")
    print(f"Message: {e.message}")
    print(f"Headers: {e.response.headers}")

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Retry logic

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Custom retry with backoff

import time

def retry_with_backoff(func, max_attempts=3, base_delay=1):
    """Retry with exponential backoff."""
    for attempt in range(max_attempts):
        try:
            return func()
        except memvai.RateLimitError:
            if attempt == max_attempts - 1:
                raise
            delay = base_delay * (2 ** attempt)
            print(f"Rate limited. Retrying in {delay}s...")
            time.sleep(delay)
        except memvai.APIError as e:
            if attempt == max_attempts - 1:
                raise
            print(f"Error: {e}. Retrying...")
            time.sleep(base_delay)

# Usage
result = retry_with_backoff(lambda: client.spaces.list())

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Best practices

Never let exceptions propagate unchecked.
Catch specific exceptions before general ones.
Always log errors with relevant context for debugging.
Retry operations that might fail temporarily.

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Next steps

Advanced usage

Advanced SDK features

Installation

SDK installation and setup