Codex API Key, explained for developers

Understanding the API Key Format

When you sign up for a service providing a codex api key, you receive a unique alphanumeric string. This key acts as your authentication credential for every request sent to the backend. The format typically follows a standard pattern, such as sk-... or similar prefixes, depending on the provider's implementation. However, since you are using an independent proxy, the exact prefix may vary. The critical factor is not the format itself, but ensuring the key is passed correctly in the HTTP Authorization header as Bearer <your_key>.

Your API key is tied to a specific account and usage tier. Unlike some services that generate multiple keys for different environments (dev vs. prod), our setup is straightforward: one account, one key. If you lose your key or suspect it has been compromised, you can regenerate it immediately from your dashboard. This revokes the old key instantly, ensuring no unauthorized access persists. Remember to update your environment variables or configuration files whenever you rotate keys.

Security Best Practices

• Store your key in environment variables, not in your source code.
• Never commit your codex api key to public repositories.
• Use the regenerate function if you suspect exposure.

Common Error: 401 Unauthorized

A 401 Unauthorized error is the most common issue when integrating a new API key. It indicates that the server rejected your authentication credentials. In the context of a claude code proxy or any OpenAI-compatible endpoint, this almost always means the key is missing, incorrect, or expired.

To troubleshoot, first verify that you are copying the key exactly as provided. Keys are often case-sensitive and may contain spaces if copied incorrectly. Ensure you are using the correct base URL for your region or service tier. If you recently regenerated your key, make sure your client is using the new value. A 401 error is not related to your usage balance or rate limits; it is purely an authentication failure.

Checklist for Resolution

1. Confirm the API key string matches the dashboard exactly.
2. Verify the Authorization header format: Authorization: Bearer YOUR_KEY.
3. Check that the base URL is correct for your account type.
4. Ensure no extra whitespace was added during copy-paste.

Rate Limit Exceeded: 429 Errors

When you exceed your allowed request volume, the API returns a 429 Too Many Requests error. For our service, the limit is set to 300 requests per minute per key. This limit is enforced to ensure fair usage and maintain low latency for all users. If you are running high-volume coding sessions, you might hit this limit quickly, especially if your code triggers multiple internal requests.

When a 429 error occurs, the response usually includes a Retry-After header indicating how many seconds you should wait before retrying. Implementing exponential backoff in your client code is the standard way to handle these errors gracefully. Instead of retrying immediately, wait a short period, then double the wait time for subsequent retries. This prevents your application from flooding the server with requests while the limit resets.

It is important to note that rate limits are per key, not per account. If you have multiple devices or processes using the same key, they share the 300 requests/minute budget. Consider using separate keys for different environments if you need higher aggregate throughput.

Configuring Base URL Correctly

The base URL is the foundation of any API integration. For an OpenAI-compatible service, the base URL determines where your requests are sent. Our base URL is https://api.claudecodeapikey.com/v1. This URL must be configured in your client library or SDK before making any requests. If you use the wrong base URL, you will receive connection errors or unexpected responses.

Many developers use the official OpenAI SDK for Python, Node.js, or other languages. To switch to our proxy, you simply update the base URL configuration. For example, in Python, you might set base_url='https://api.claudecodeapikey.com/v1'. Ensure that the protocol (https) and the path (/v1) are correct. Omitting the /v1 path is a common mistake that leads to 404 errors.

Always verify that your client is sending requests to the correct endpoint. You can do this by checking your network logs or using a tool like curl to test the connection. A successful connection to the base URL confirms that your configuration is correct.

Handling Streaming Responses

Streaming responses allow you to receive parts of the API response as they are generated, rather than waiting for the entire response to complete. This is crucial for coding agents that display code snippets in real-time. Our API supports streaming via Server-Sent Events (SSE). When you enable streaming in your client, you will receive a stream of chunks, each containing a partial response.

To enable streaming, set the stream parameter to true in your request. The client library will then handle the SSE protocol automatically. You can process each chunk as it arrives, updating your UI or logging the progress. This provides a better user experience, especially for long code generations.

Streaming does not change the underlying model or its capabilities. It is purely a transport mechanism. The model still processes the entire prompt and generates the full response; the difference is in how the output is delivered to your client.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.claudecodeapikey.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)

Tool Calling Configuration Issues

Tool calling (or function calling) allows the LLM to request specific actions, such as running a code snippet or querying a database. Our API supports tool calling, meaning you can define functions in your request and receive structured JSON responses from the model. This is essential for advanced coding agents that need to interact with external systems.

To configure tool calling, you must provide a list of function definitions in the tools parameter. Each tool should have a name, description, and parameter schema. The model will then decide when to call a tool based on the prompt. If the model decides to call a tool, the response will include a tool_calls array with the function name and arguments.

Common issues arise from incorrect JSON schema definitions. Ensure that your parameter types and required fields are accurately specified. If the schema is invalid, the model may fail to call the tool correctly. Test your tool definitions with simple prompts to verify that the model understands the expected behavior.

Context Window Limits

The context window defines the maximum amount of text the model can process in a single request, including both the prompt (input) and the completion (output). Our model has a context window of 100,000 tokens. This is a significant amount of text, but it is not infinite. If your prompt plus the expected output exceeds this limit, the API will return an error.

To manage context efficiently, monitor the token usage of your prompts. Long files or extensive conversation histories can quickly consume the available tokens. If you approach the limit, consider truncating older messages or summarizing previous interactions. Some clients automatically handle this by sliding the window, but it is best to be aware of the limit to avoid unexpected errors.

Remember that the context window includes all tokens sent to the model, including system messages, user messages, and assistant messages. Plan your token budget accordingly to ensure smooth operation during long coding sessions.

Regenerating Your Key

Regenerating your API key is a simple process that ensures security. If you suspect your key has been exposed or you want to rotate credentials periodically, you can generate a new key from your dashboard. The old key is immediately invalidated, so any ongoing requests using the old key will fail.

When you regenerate a key, make sure to update all your clients and configurations with the new value. This includes environment variables, config files, and any hardcoded values in your code. Failure to update all locations may result in authentication errors for some parts of your application.

Our service allows unlimited key regenerations. There is no penalty for rotating your key frequently. This is a good practice for maintaining security, especially in shared environments or when distributing keys to team members.

Copycurl https://api.claudecodeapikey.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Write a blunt product review of a cheap VPN."}]
  }'