microsoft/semantic-kernel · error · ServiceInitializationError

The OpenAI API key is required.

Error message

The OpenAI API key is required.

What it means

Raised by OpenAIChatCompletion.__init__ after settings creation succeeds. The check is 'if not async_client and not openai_settings.api_key' — meaning an API key is only required when no pre-built AsyncOpenAI client was supplied. The api_key is sourced from the constructor argument or the OPENAI_API_KEY environment variable. Without either a client or a key, the service cannot authenticate to the OpenAI API.

Source

Thrown at python/semantic_kernel/connectors/ai/open_ai/services/open_ai_chat_completion.py:65

            async_client (Optional[AsyncOpenAI]): An existing client to use. (Optional)
            env_file_path (str | None): Use the environment settings file as a fallback
                to environment variables. (Optional)
            env_file_encoding (str | None): The encoding of the environment settings file. (Optional)
            instruction_role (str | None): The role to use for 'instruction' messages, for example,
        """
        try:
            openai_settings = OpenAISettings(
                api_key=api_key,
                org_id=org_id,
                chat_model_id=ai_model_id,
                env_file_path=env_file_path,
                env_file_encoding=env_file_encoding,
            )
        except ValidationError as ex:
            raise ServiceInitializationError("Failed to create OpenAI settings.", ex) from ex

        if not async_client and not openai_settings.api_key:
            raise ServiceInitializationError("The OpenAI API key is required.")
        if not openai_settings.chat_model_id:
            raise ServiceInitializationError("The OpenAI model ID is required.")

        super().__init__(
            ai_model_id=openai_settings.chat_model_id,
            api_key=openai_settings.api_key.get_secret_value() if openai_settings.api_key else None,
            org_id=openai_settings.org_id,
            service_id=service_id,
            ai_model_type=OpenAIModelTypes.CHAT,
            default_headers=default_headers,
            client=async_client,
            instruction_role=instruction_role,
        )

    @classmethod
    def from_dict(cls, settings: dict[str, Any]) -> "OpenAIChatCompletion":
        """Initialize an Open AI service from a dictionary of settings.

View on GitHub (pinned to c028a0c7dc)

Solutions

  1. Set OPENAI_API_KEY in your environment or .env file to your API key from https://platform.openai.com/api-keys.
  2. Pass api_key= explicitly in the constructor: OpenAIChatCompletion(ai_model_id='gpt-4o', api_key='sk-...').
  3. Pass a pre-built AsyncOpenAI client via async_client= to bypass key resolution entirely.
  4. Verify your .env file is discoverable by passing env_file_path='.env'.

Example fix

# before
service = OpenAIChatCompletion(
    ai_model_id='gpt-4o',
)
# after
service = OpenAIChatCompletion(
    ai_model_id='gpt-4o',
    api_key='sk-...',
)
# or via env var: export OPENAI_API_KEY=sk-...
Defensive patterns

Strategy: validation

Validate before calling

import os
from openai import AsyncOpenAI

api_key = os.environ.get('OPENAI_API_KEY')
if not api_key:
    raise ValueError(
        'OPENAI_API_KEY is not set. Provide it via environment variable, .env file, '
        'the api_key= constructor argument, or an async_client= parameter.'
    )

Try / catch

from semantic_kernel.exceptions.service_exceptions import ServiceInitializationError

try:
    service = OpenAIChatCompletion(
        ai_model_id='gpt-4o',
        api_key=os.environ.get('OPENAI_API_KEY'),
    )
except ServiceInitializationError as e:
    if 'API key is required' in str(e):
        print('Set OPENAI_API_KEY, pass api_key=, or provide an async_client=')
    raise

Prevention

When it happens

Trigger: Constructing OpenAIChatCompletion without async_client= AND without api_key= (constructor argument) AND without OPENAI_API_KEY in the environment or .env file. This check runs after settings validation passed, so the settings object exists but its api_key field is None.

Common situations: Missing OPENAI_API_KEY env var; .env file not loaded or path incorrect; OPENAI_API_KEY set but empty string; copy-pasting sample code without configuring secrets; running in CI/Docker without injecting the key; assuming the key is optional (it is only optional if a client is provided).

Related errors


AI-assisted analysis of microsoft/semantic-kernel@c028a0c7dc (2026-08-13). Data as JSON: /api/errors/73a2e0890230e750. Report an issue: GitHub.