troubleshooting.mdx

sidebar_position	10
title	Troubleshooting guide
description	Resolve common QWED verification issues including authentication errors, API key problems, and rate limits. Step-by-step debugging solutions included.

Common issues and how to resolve them.

---

Authentication errors

API key invalid

Error: 401 Unauthorized - Invalid API key

Solution:

1. Check your API key is correct: echo $QWED_API_KEY
2. Make sure the value is not a placeholder — qwed init ignores common dummy values like your-api-key, changeme, placeholder, and xxx. Replace them with a real key.
3. Regenerate key at cloud.qwedai.com
4. Ensure no extra spaces or newlines

# Correct
client = QWEDClient(api_key="qwed_live_abc123...")

# Wrong - has newline
client = QWEDClient(api_key="qwed_live_abc123...\n")

Rate limit exceeded

Error: 429 Too Many Requests

Solution:

• Free tier: 100 requests/minute
• Pro tier: 1,000 requests/minute
• Enterprise: Unlimited

from qwed_sdk import QWEDClient
import time

client = QWEDClient()

# Implement backoff
for attempt in range(3):
    try:
        result = client.verify("2+2=4")
        break
    except RateLimitError:
        time.sleep(2 ** attempt)

---

Verification failures

Math: floating-point precision

# Fails due to floating point
result = client.verify_math("0.1 + 0.2 = 0.3")
# False! (0.1 + 0.2 = 0.30000000000000004)

Solution: Use tolerance parameter:

result = client.verify_math("0.1 + 0.2 = 0.3", tolerance=1e-10)
# True

Logic: unsatisfiable constraints

Error: No satisfying assignment found

Solution: Check for contradictions:

# This is unsatisfiable
"(AND (GT x 10) (LT x 5))"  # x > 10 AND x < 5 - impossible!

# Check satisfiability first
result = client.check_satisfiability("(AND (GT x 10) (LT x 5))")
print(result.satisfiable)  # False

Stats: Internal verification error

Error: Internal verification error

The Stats Engine returns this generic message when it fails to generate or translate your query into executable code. QWED masks the actual error details to prevent leaking sensitive information.

Solution:

1. Verify your query is a valid statistical question (e.g., "What is the mean of column X?")
2. Check that the column names in your query match the columns in your data
3. If the issue persists, check the server-side logs for the exception type

Code: timeout

Error: Verification timeout after 30s

Solution:

1. Increase timeout: client.verify_code(code, timeout=60)
2. Simplify code (reduce loops, recursion)
3. Use bounded verification

---

CLI issues

qwed init fails with "attempt to write a readonly database"

sqlite3.OperationalError: attempt to write a readonly database

This error occurs during Step 3 of qwed init. The local server tries to create a bootstrap SQLite database in a directory that is not writable. Common examples include a read-only mount, a container filesystem, or a system-managed path.

Solution: Upgrade to QWED v4.0.0 or later:

pip install --upgrade qwed

Starting with v4.0.0, qwed init automatically resolves a writable runtime directory for the database. It uses the current working directory if writable, otherwise falls back to ~/qwed-demo/. No manual intervention is needed.

If you cannot upgrade, run qwed init from a writable directory:

cd ~/my-project
qwed init

---

Gemini provider issues

Missing google-generativeai package

ImportError: google-generativeai package required for Gemini integration.

Solution: Install the Gemini SDK alongside QWED:

pip install qwed google-generativeai

Gemini API key not found

ValueError: Gemini API key not found. Set GOOGLE_API_KEY env var or run: qwed init

Solution: Set either GOOGLE_API_KEY or GEMINI_API_KEY:

export GOOGLE_API_KEY=your-google-api-key

Or run the setup wizard:

qwed init

Gemini timeout errors

All Gemini API calls have a 30-second timeout. If your requests time out consistently:

1. Check your network connection to Google's API servers
2. Break large inputs into smaller parts
3. For image verification, ensure images are under 10 MB

Gemini JSON parse errors

ValueError: Failed to parse JSON from Gemini endpoint.

This can happen when Gemini returns malformed JSON for complex queries. QWED automatically strips Markdown code fences from responses, but edge cases may still occur. Solution: Retry the request — the error is usually transient. If it persists, simplify your input or switch to a different provider temporarily.

---

SDK issues

Import error

ModuleNotFoundError: No module named 'qwed_sdk'

Solution:

pip install qwed
# or
pip install qwed-sdk

Async not working

# Wrong - missing await
result = client.verify("2+2=4")  # Returns coroutine, not result

Solution:

# Sync client
from qwed_sdk import QWEDClient
client = QWEDClient()
result = client.verify("2+2=4")

# Async client
from qwed_sdk import QWEDAsyncClient
async with QWEDAsyncClient() as client:
    result = await client.verify("2+2=4")  # Must await!

---

DSL syntax errors

Unknown operator

SECURITY BLOCK: Unknown operator 'CHECK_IF_VALID'

Solution: Only use allowed operators:

Allowed	Not Allowed
AND, OR, NOT	CHECK, VALIDATE
GT, LT, EQ	GREATER, LESS
IMPLIES, IFF	IF, THEN
FORALL, EXISTS	ALL, ANY

# Wrong
"(CHECK_IF_VALID x)"

# Correct
"(GT x 0)"

Missing parentheses

SyntaxError: Missing closing ')'

Solution: Count your parentheses:

# Wrong - 3 open, 2 close
"(AND (GT x 5) (LT y 10)"

# Correct - 3 open, 3 close
"(AND (GT x 5) (LT y 10))"

---

Performance issues

Slow verification

Possible causes:

1. Complex expressions with many variables
2. Large code files
3. Deep recursion in symbolic execution

Solutions:

# 1. Use caching
from qwed_sdk import QWEDClient
client = QWEDClient(cache=True)

# 2. Batch requests
results = client.verify_batch([
    {"query": "2+2=4"},
    {"query": "3+3=6"},
])

# 3. Use async for parallel requests
async def verify_many(queries):
    async with QWEDAsyncClient() as client:
        tasks = [client.verify(q) for q in queries]
        return await asyncio.gather(*tasks)

High memory usage

Solution: Stream large results:

# For large batch operations
for result in client.verify_batch_stream(large_list):
    process(result)
    # Processes one at a time, not all in memory

---

Common error codes

Code	Meaning	Solution
E001	Invalid expression	Check syntax
E002	Type mismatch	Check variable types
E003	Division by zero	Add guards
E004	Timeout	Simplify query
E005	Rate limit	Implement backoff
E401	Auth failed	Check API key
E500	Server error	Contact support

---

Getting help

1. Documentation: docs.qwedai.com
2. GitHub Issues: github.com/QWED-AI/qwed-verification/issues
3. Email: support@qwedai.com
4. Intercom: Chat widget on docs site

---

Debug mode

Enable debug logging:

import logging
logging.basicConfig(level=logging.DEBUG)

from qwed_sdk import QWEDClient
client = QWEDClient()

# Now you'll see detailed request/response logs
result = client.verify("2+2=4")