Migration API: Troubleshooting Common LLM Integration Errors

Misconfiguring the Base URL

The first point of failure is almost always the base URL. When you switch providers, you must update the endpoint that your SDK contacts. A wrong URL results in a 404 or 403 error before your payload even leaves your machine.

Ensure your client points to the correct domain. For our service, the base URL is https://api.apimigration.com/v1. This URL works with standard OpenAI SDKs by simply changing the base_url parameter.

• Verify the protocol (HTTPS vs HTTP).
• Check for trailing slashes in your client configuration.
• Confirm the version path (/v1) matches your API specification.

Copycurl https://api.apimigration.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Run the latest migration script for the user table"}]
  }'

Ignoring Context Window Limits

Your model has a hard limit of 100,000 tokens for the combined prompt and completion. If you exceed this, the API rejects the request or truncates your history silently depending on implementation. Always track your token usage to avoid hitting this wall.

Additionally, the maximum output per request is 16,000 tokens. If you do not set max_tokens, the default is 2,048 tokens. This difference is significant for long-form generation tasks.

• Monitor total token count per request.
• Set max_tokens explicitly for long outputs.
• Implement sliding window logic for very long conversations.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.apimigration.com/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

Incorrect Streaming Implementation

Streaming responses require specific handling of Server-Sent Events (SSE). If you treat a stream as a single JSON object, your code will hang or crash. Each chunk contains partial data, and the final chunk includes token usage statistics.

Read the stream incrementally. Process each event as it arrives. This reduces perceived latency for end-users. Do not wait for the entire response before processing.

• Open a connection and read line by line.
• Parse data: lines as JSON.
• Handle the [DONE] signal correctly.

Copystream = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Tell the story in second person."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

Overlooking Rate Limits

Our API allows 300 requests per minute per key. If your application spikes, you will receive 429 Too Many Requests errors. You must implement exponential backoff to handle these gracefully.

Concurrent requests are also limited to 8 at the same time per key. Exceeding this limit can cause connection pool exhaustion. Monitor your concurrent connections closely.

• Implement exponential backoff for 429 errors.
• Limit concurrent connections to 8.
• Use a circuit breaker pattern for high load.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.apimigration.com/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);

Assuming Standard JSON Formats

While we follow OpenAI-compatible formats, assumptions can break your integration. Ensure you request json_object in response_format if you need strict JSON. Without this, the model may return markdown or plain text.

Parse the response carefully. Validate the JSON structure before using it. This prevents runtime errors in downstream services.

• Set response_format to {"type": "json_object"}.
• Validate JSON before parsing.
• Handle malformed responses gracefully.

Copycurl https://api.apimigration.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Run the latest migration script for the user table"}]
  }'

Neglecting Error Handling

APIs fail. Network timeouts, server errors, and invalid payloads happen. Your code must handle these errors without crashing. Log the error details for debugging.

Check the error code and message. Retry on transient errors. Fail fast on permanent errors. This distinction saves time and resources.

• Log error codes and messages.
• Retry on 5xx errors with backoff.
• Fail fast on 4xx errors.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.apimigration.com/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

Payment and Key Rotation Issues

Our API uses prepaid credit via crypto. Credit does not expire. If you run out of credit, requests fail. Monitor your balance and top up before it hits zero.

Each account has one active key. Generating a new key invalidates the old one immediately. Ensure your deployment updates the key atomically to avoid downtime.

• Monitor credit balance regularly.
• Rotate keys atomically.
• Update all instances simultaneously.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.apimigration.com/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);

Summary of Best Practices

Migration success depends on attention to detail. Verify your base URL. Respect context limits. Handle streaming correctly. Manage rate limits. Validate JSON. Handle errors. Manage payments and keys. Following these steps ensures a smooth transition.

Test your integration thoroughly before going live. Use the trial credit to verify your setup. This prevents costly downtime in production.

• Verify base URL.
• Respect context limits.
• Handle streaming correctly.
• Manage rate limits.
• Validate JSON.
• Handle errors.
• Manage payments and keys.

Copycurl https://api.apimigration.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Run the latest migration script for the user table"}]
  }'