Model Debugging

When you test manually with a valid secret key (sk_), you bypass auth/quota issues, so models appear to work fine.

Key insight: High 401/402/403/400 rates are expected from real-world usage. Focus investigation on 500/504 errors.

Data Flow Architecture

User Request → enter.pollinations.ai (Cloudflare Worker)
                    ↓
              Logs to Cloudflare Workers Observability
                    ↓
              Events stored in D1 database
                    ↓
              Batched to Tinybird (async, 100-500 events)
                    ↓
              Model Monitor queries Tinybird (model_health.pipe)

Structured Logging: enter.pollinations.ai uses LogTape with:

• requestId: Unique per request (passed to downstream via x-request-id header)
• status, body: Full error response from downstream services
• Context: method, routePath, userAgent, ipAddress

Quick Diagnostics

1. Check Model Monitor

View current model health at: https://monitor.pollinations.ai

2. Query Recent Errors from D1 Database

# Via enter.pollinations.ai worker (requires wrangler)
cd enter.pollinations.ai
npx wrangler d1 execute pollinations-db --remote --command "SELECT model_requested, response_status, error_message, COUNT(*) as count FROM event WHERE response_status >= 400 AND created_at > datetime('now', '-1 hour') GROUP BY model_requested, response_status, error_message ORDER BY count DESC LIMIT 20"

3. Capture Live Logs

enter.pollinations.ai (Cloudflare Worker)

cd enter.pollinations.ai
wrangler tail --format json | tee logs.jsonl
# Or with formatting:
wrangler tail --format json | npx tsx scripts/format-logs.ts

image.pollinations.ai (EC2 systemd)

# Real-time logs
ssh enter-services "sudo journalctl -u image-pollinations.service -f"

# Last 3 minutes
ssh enter-services "sudo journalctl -u image-pollinations.service --since '3 minutes ago' --no-pager" > image-service-logs.txt

# Recent errors only
ssh enter-services "sudo journalctl -u image-pollinations.service -p err -n 50"

text.pollinations.ai (EC2 systemd)

# Real-time logs
ssh enter-services "sudo journalctl -u text-pollinations.service -f"

# Last 3 minutes
ssh enter-services "sudo journalctl -u text-pollinations.service --since '3 minutes ago' --no-pager" > text-service-logs.txt

Common Error Patterns

Azure Content Safety DNS Failure

Error: getaddrinfo ENOTFOUND gptimagemain1-resource.cognitiveservices.azure.com Cause: Azure Content Safety resource deleted or misconfigured Impact: Fail-open (content proceeds without safety check) Fix: Create new Azure Content Safety resource and update .env:

AZURE_CONTENT_SAFETY_ENDPOINT=https://<new-resource>.cognitiveservices.azure.com/
AZURE_CONTENT_SAFETY_API_KEY=<new-key>

Azure Kontext Content Filter

Error: Content rejected due to sexual/hate/violence content detection Cause: Azure's content moderation blocking prompts/images Impact: 400 error returned to user Fix: User error - prompt violates content policy

Vertex AI Invalid Image

Error: Provided image is not valid Cause: User passing unsupported image URL (e.g., Google Drive links) Impact: 400 error returned to user Fix: User error - need direct image URL

Translation Service Down

Error: No active translate servers available Cause: Translation service unavailable Impact: Prompts not translated (non-fatal) Fix: Check translation service status

OpenAI Audio Invalid Voice

Error: Invalid value for audio.voice Cause: User requesting unsupported voice name Impact: 400 error returned to user Fix: User error - use supported voices: alloy, echo, fable, onyx, nova, shimmer, coral, verse, ballad, ash, sage, etc.

Veo No Video Data

Error: No video data in response Cause: Vertex AI returned empty video response Impact: 500 error Fix: Check Vertex AI quota/status, may be transient

Environment Variables to Check

image.pollinations.ai

ssh enter-services "cat /home/ubuntu/pollinations/image.pollinations.ai/.env | grep -E 'AZURE|GOOGLE|CLOUDFLARE'"

Key variables:

• AZURE_CONTENT_SAFETY_ENDPOINT - Azure Content Safety API endpoint
• AZURE_CONTENT_SAFETY_API_KEY - Azure Content Safety API key
• GOOGLE_PROJECT_ID - Google Cloud project for Vertex AI
• AZURE_MYCELI_PROD_SWEDEN_API_KEY - Shared Azure API key (Kontext, GPT Image, GPT Image 1.5)

text.pollinations.ai

ssh enter-services "cat /home/ubuntu/pollinations/text.pollinations.ai/.env | grep -E 'AZURE|OPENAI|GOOGLE'"

Updating Secrets

Secrets are stored encrypted with SOPS:

• image.pollinations.ai/secrets/env.json
• text.pollinations.ai/secrets/env.json

To update:

# Decrypt, edit, re-encrypt
sops image.pollinations.ai/secrets/env.json

# Deploy to server
sops --output-type dotenv -d image.pollinations.ai/secrets/env.json > /tmp/image.env
scp /tmp/image.env enter-services:/home/ubuntu/pollinations/image.pollinations.ai/.env
rm /tmp/image.env

# Restart service
ssh enter-services "sudo systemctl restart image-pollinations.service"

Log Analysis Commands

# Count errors by type
grep -i "error" image-service-logs.txt | grep -oE "(Azure Flux Kontext|Vertex AI|No active translate|getaddrinfo ENOTFOUND)" | sort | uniq -c | sort -rn

# Find content filter rejections
grep -i "Content rejected" image-service-logs.txt | sort | uniq -c

# Check DNS resolution on server
ssh enter-services "nslookup gptimagemain1-resource.cognitiveservices.azure.com"

Model-Specific Debugging

Cloudflare Workers Observability API

The enter.pollinations.ai worker has structured logging enabled. You can query logs programmatically via the Cloudflare Workers Observability API.

Prerequisites

1. Get Account ID

# From wrangler.toml
grep account_id enter.pollinations.ai/wrangler.toml

# Or from existing .env
grep CLOUDFLARE_ACCOUNT_ID image.pollinations.ai/.env

2. Create API Token with Workers Observability Permission

Via Cloudflare Dashboard:

1. Go to https://dash.cloudflare.com/profile/api-tokens
2. Click Create Token
3. Click Create Custom Token
4. Configure:
   • Token name: Workers Observability Read
   • Permissions:
     • Account → Workers Scripts → Read
     • Account → Workers Observability → Edit (required for query API)
   • Account Resources: Include → Your Account
5. Click Continue to summary → Create Token
6. Copy the token immediately (shown only once)

3. Store Token Securely

The token is stored in SOPS-encrypted secrets:

• Location: enter.pollinations.ai/secrets/env.json
• Key: CLOUDFLARE_OBSERVABILITY_TOKEN

To add/update:

# Step 1: Decrypt to temp file
cd /path/to/pollinations
sops -d enter.pollinations.ai/secrets/env.json > /tmp/env.json

# Step 2: Add the token (use jq)
jq '. + {"CLOUDFLARE_OBSERVABILITY_TOKEN": "your_token"}' /tmp/env.json > /tmp/env_updated.json

# Step 3: Re-encrypt (must rename to match .sops.yaml pattern)
cp /tmp/env_updated.json /tmp/env.json
sops -e /tmp/env.json > enter.pollinations.ai/secrets/env.json

# Step 4: Cleanup
rm /tmp/env.json /tmp/env_updated.json

# Verify
sops -d enter.pollinations.ai/secrets/env.json | jq 'keys'

Note: The .sops.yaml config requires filenames matching env.json$ pattern.

API Endpoint

POST https://api.cloudflare.com/client/v4/accounts/{account_id}/workers/observability/telemetry/query

Query Examples

Setup: Get Credentials from SOPS

# Extract credentials from encrypted secrets
ACCOUNT_ID=$(sops -d enter.pollinations.ai/secrets/env.json | jq -r '.CLOUDFLARE_ACCOUNT_ID')
API_TOKEN=$(sops -d enter.pollinations.ai/secrets/env.json | jq -r '.CLOUDFLARE_OBSERVABILITY_TOKEN')

List Available Log Keys (Working)

This endpoint works and shows what fields are available:

curl -s "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/workers/observability/telemetry/keys" \
  -H "Authorization: Bearer $API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"timeframe": {"from": '$(( $(date +%s) - 86400 ))'000, "to": '$(date +%s)'000}, "datasets": ["workers"]}' | jq '.result[:10]'

Query Recent Errors (Last 15 Minutes)

Note: The /query endpoint requires a saved queryId. For ad-hoc queries, use the Cloudflare Dashboard Query Builder or wrangler tail.

# This format requires a saved query ID

# Query errors with status >= 400
curl -s "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/workers/observability/telemetry/query" \
  -H "Authorization: Bearer $API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "timeframe": {
      "from": '$(( $(date +%s) - 900 ))'000,
      "to": '$(date +%s)'000
    },
    "parameters": {
      "datasets": ["workers"],
      "filters": [
        {"key": "$workers.scriptName", "operation": "eq", "type": "string", "value": "enter-pollinations-ai"},
        {"key": "$metadata.statusCode", "operation": "gte", "type": "number", "value": 400}
      ],
      "calculations": [{"operator": "count"}],
      "groupBys": [
        {"type": "string", "value": "$metadata.statusCode"},
        {"type": "string", "value": "$metadata.error"}
      ],
      "limit": 50
    }
  }' | jq '.result.events.events[:20]'

Query Errors by Model

curl -s "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/workers/observability/telemetry/query" \
  -H "Authorization: Bearer $API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "timeframe": {
      "from": '$(( $(date +%s) - 3600 ))'000,
      "to": '$(date +%s)'000
    },
    "parameters": {
      "datasets": ["workers"],
      "filters": [
        {"key": "$workers.scriptName", "operation": "eq", "type": "string", "value": "enter-pollinations-ai"},
        {"key": "$metadata.statusCode", "operation": "gte", "type": "number", "value": 400}
      ],
      "calculations": [{"operator": "count"}],
      "groupBys": [
        {"type": "string", "value": "model"},
        {"type": "string", "value": "$metadata.statusCode"}
      ],
      "limit": 100
    }
  }' | jq '.result.calculations[0].aggregates'

Get Raw Error Events with Full Details

curl -s "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/workers/observability/telemetry/query" \
  -H "Authorization: Bearer $API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "timeframe": {
      "from": '$(( $(date +%s) - 900 ))'000,
      "to": '$(date +%s)'000
    },
    "parameters": {
      "datasets": ["workers"],
      "filters": [
        {"key": "$workers.scriptName", "operation": "eq", "type": "string", "value": "enter-pollinations-ai"},
        {"key": "$metadata.statusCode", "operation": "gte", "type": "number", "value": 500}
      ],
      "limit": 20
    }
  }' | jq '.result.events.events[] | {
    timestamp: .timestamp,
    statusCode: ."$metadata".statusCode,
    error: ."$metadata".error,
    message: ."$metadata".message,
    requestId: ."$workers".requestId,
    url: ."$metadata".url
  }'

List Available Log Keys

curl -s "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/workers/observability/telemetry/keys" \
  -H "Authorization: Bearer $API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "timeframe": {
      "from": '$(( $(date +%s) - 3600 ))'000,
      "to": '$(date +%s)'000
    },
    "datasets": ["workers"],
    "filters": [
      {"key": "$workers.scriptName", "operation": "eq", "type": "string", "value": "enter-pollinations-ai"}
    ]
  }' | jq '.result.keys'

Structured Logging in enter.pollinations.ai

The worker uses LogTape for structured logging with these key fields:

• requestId: Unique ID per request (first 8 chars shown in logs)
• method: HTTP method (GET, POST)
• routePath: Request URL
• status: Response status code
• duration: Request duration in ms

Downstream errors are logged with:

log.warn("Chat completions error {status}: {body}", {
    status: response.status,
    body: responseText,
});

Tinybird Analytics (Alternative)

For aggregated model health stats, query Tinybird directly:

# Get model health stats (last 5 minutes)
curl "https://api.europe-west2.gcp.tinybird.co/v0/pipes/model_health.json?token=$TINYBIRD_TOKEN" | jq '.data'

# Get detailed error breakdown
curl "https://api.europe-west2.gcp.tinybird.co/v0/pipes/model_errors.json?token=$TINYBIRD_TOKEN" | jq '.data'

The Tinybird token is a read-only public token found in:

• apps/model-monitor/src/hooks/useModelMonitor.js

Debugging Workflow

1. Check Model Monitor - https://monitor.pollinations.ai

   • Identify which models have high error rates
   • Note the error code breakdown (401, 402, 403, 400, 500, etc.)

2. Query Cloudflare Logs - Use the API queries above

   • Get raw error events with full details
   • Look for patterns in error messages

3. Correlate with Request ID - If you have a specific request ID:

   # Filter by request ID
   curl -s "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/workers/observability/telemetry/query" \
     -H "Authorization: Bearer $API_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{
       "timeframe": {"from": '$(( $(date +%s) - 86400 ))'000, "to": '$(date +%s)'000},
       "parameters": {
         "datasets": ["workers"],
         "filters": [
           {"key": "$workers.requestId", "operation": "eq", "type": "string", "value": "REQUEST_ID_HERE"}
         ],
         "limit": 100
       }
     }' | jq '.result.events.events'
   

4. Check Backend Logs - If error is from downstream service:

   # Image service
   ssh enter-services "sudo journalctl -u image-pollinations.service --since '5 minutes ago'"
   
   # Text service
   ssh enter-services "sudo journalctl -u text-pollinations.service --since '5 minutes ago'"
   

5. Test Model Directly - Verify if model is actually broken:

   TOKEN=$(grep ENTER_API_TOKEN_REMOTE enter.pollinations.ai/.testingtokens | cut -d= -f2)
   
   # Test text model
   curl -s 'https://gen.pollinations.ai/v1/chat/completions' \
     -H "Authorization: Bearer $TOKEN" \
     -H 'Content-Type: application/json' \
     -d '{"model": "MODEL_NAME", "messages": [{"role": "user", "content": "Test"}]}' \
     -w "\nHTTP: %{http_code}\n"
   
   # Test image model
   curl -s 'https://gen.pollinations.ai/image/test?model=MODEL_NAME&width=256&height=256' \
     -H "Authorization: Bearer $TOKEN" \
     -w "\nHTTP: %{http_code}\n" -o /dev/null
   

Current Status & Limitations

Cloudflare Observability API

What works:

• /telemetry/keys - List available log fields ✅
• /telemetry/values - Get unique values for a field ✅
• Token stored in SOPS: enter.pollinations.ai/secrets/env.json ✅

Limitations:

• /telemetry/query requires a saved queryId from the dashboard
• For ad-hoc queries, use Cloudflare Dashboard → Workers & Pages → pollinations-enter → Observability → Investigate
• Or use wrangler tail for real-time logs

Alternative: Tinybird (Recommended for Aggregates)

Tinybird provides pre-aggregated model health stats and raw event data.

Token Locations

1. Public read-only token (for pipes only): apps/model-monitor/src/hooks/useModelMonitor.js
2. Admin token (for raw SQL queries): enter.pollinations.ai/observability/.tinyb (in token field)

Basic Queries (Public Token)

# Public read-only token from apps/model-monitor
TINYBIRD_TOKEN="p.eyJ1IjogImFjYTYzZjc5LThjNTYtNDhlNC05NWJjLWEyYmFjMTY0NmJkMyIsICJpZCI6ICJmZTRjODM1Ni1iOTYwLTQ0ZTYtODE1Mi1kY2UwYjc0YzExNjQiLCAiaG9zdCI6ICJnY3AtZXVyb3BlLXdlc3QyIn0.Wc49vYoVYI_xd4JSsH_Fe8mJk7Oc9hx0IIldwc1a44g"

# Get model health (last 5 min)
curl -s "https://api.europe-west2.gcp.tinybird.co/v0/pipes/model_health.json?token=$TINYBIRD_TOKEN" | jq '.data'

Raw SQL Queries (Admin Token)

For querying the raw generation_event datasource, use the admin token from .tinyb:

# Get admin token from .tinyb file
TINYBIRD_ADMIN_TOKEN=$(jq -r '.token' enter.pollinations.ai/observability/.tinyb)

# Find users with frequent 403 errors (last 24 hours)
curl -s "https://api.europe-west2.gcp.tinybird.co/v0/sql?token=$TINYBIRD_ADMIN_TOKEN" \
  --data-urlencode "q=SELECT user_id, user_github_username, user_tier, count() as error_403_count 
FROM generation_event 
WHERE response_status = 403 
  AND start_time > now() - interval 24 hour 
  AND user_id != '' 
  AND user_id != 'undefined' 
GROUP BY user_id, user_github_username, user_tier 
ORDER BY error_403_count DESC 
LIMIT 20"

# Find users with 500 errors (actual backend issues)
curl -s "https://api.europe-west2.gcp.tinybird.co/v0/sql?token=$TINYBIRD_ADMIN_TOKEN" \
  --data-urlencode "q=SELECT user_github_username, model_requested, error_message, count() as error_count 
FROM generation_event 
WHERE response_status >= 500 
  AND start_time > now() - interval 24 hour 
GROUP BY user_github_username, model_requested, error_message 
ORDER BY error_count DESC 
LIMIT 20"

# Check specific user's recent errors
curl -s "https://api.europe-west2.gcp.tinybird.co/v0/sql?token=$TINYBIRD_ADMIN_TOKEN" \
  --data-urlencode "q=SELECT start_time, response_status, model_requested, error_message 
FROM generation_event 
WHERE user_github_username = 'USERNAME_HERE' 
  AND start_time > now() - interval 24 hour 
ORDER BY start_time DESC 
LIMIT 50"

Datasource Schema

The generation_event datasource is defined in enter.pollinations.ai/observability/datasources/generation_event.datasource and includes:

• user_id, user_github_username, user_tier
• response_status, error_message, error_response_code
• model_requested, model_used
• total_price, total_cost
• start_time, end_time, response_time

Scripts

Helper scripts for common debugging tasks. Run from repo root.

Find Users with 403 Errors (Quota Issues)

# Find users with >10 403 errors in last 24 hours
.claude/skills/model-debugging/scripts/find-403-users.sh 24 10

# Filter by tier (e.g., only spore users)
.claude/skills/model-debugging/scripts/find-403-users.sh 24 10 spore

Find 500 Errors (Backend Issues)

# Find 500+ errors grouped by user/model/message
.claude/skills/model-debugging/scripts/find-500-errors.sh 24

Check Specific User's Errors

# See a user's recent errors
.claude/skills/model-debugging/scripts/check-user-errors.sh superbrainai 24

Notes

• 401 errors: User authentication issues (no API key) - expected from anonymous traffic
• 402 errors: Pollen/billing issues (user ran out of credits or key budget) - expected
• 403 errors: Permission issues (model not allowed for API key) - expected
• 400 errors: Usually user input errors (bad prompts, invalid params) - expected
• 500 errors: Backend/infrastructure issues - investigate these
• 504 errors: Timeouts (model too slow or hung) - investigate these

Tested Models (All Working as of 2025-12-22)