feat: allow passing base_url and api_key in openai section of config.toml

Purpose

Some local model vendors support OpenAI api.

Proposed Changes

This Pr introduces changes that allow user to specify both

base_url e.g.
api_key e.g. in the openai section of config.toml to use the langchain's OpenAI abstractions in ollama/vllm and so on.

Issues

Links to relevant issues

Testing

config.toml

[vendor]
simple_model = "openai"
complex_model = "openai"
embeddings_model = "openai"
...
[openai]
simple_model = "gpt-4o-mini"
complex_model = "qwen2.5-coder:3b"
embeddings_model = "text-embedding-ada-002"
base_url = "http://localhost:11434/v1/" # for openai compatible apis
api_key = "ollama" # for openai compatible apis, overrides the environment variable OPENAI_API_KEY
...

04:50:10 (rai-b2azRMqA-py3.12) mmajek@robo-pc-054 rai ±|feat/openai-compatible-apis ✗|→ python
Python 3.12.3 (main, Nov  6 2024, 18:32:19) [GCC 13.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from rai.utils.model_initialization import get_llm_model 
>>> llm = get_llm_model("complex_model")
2024-11-29 16:50:22 robo-pc-054 rai.utils.model_initialization[461106] INFO Using LLM model: openai-qwen2.5-coder:3b
>>> llm.invoke("hello")
2024-11-29 16:50:29 robo-pc-054 httpx[461106] INFO HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK"
AIMessage(content='Hello! How can I assist you today?', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 30, 'total_tokens': 40, 'completion_tokens_details': None, 'prompt_tokens_details': None}, 'model_name': 'qwen2.5-coder:3b', 'system_fingerprint': 'fp_ollama', 'finish_reason': 'stop', 'logprobs': None}, id='run-d5c590c4-56ed-4174-91f0-f0d78844570f-0', usage_metadata={'input_tokens': 30, 'output_tokens': 10, 'total_tokens': 40, 'input_token_details': {}, 'output_token_details': {}})

Summary by CodeRabbit

New Features
- Enhanced OpenAI configuration support with new parameters: base_url and api_key.
- Introduced a dedicated configuration class for OpenAI settings, improving error handling for API key management.
Bug Fixes
- Improved error handling when the api_key is not set, ensuring better user feedback.

Walkthrough

The pull request introduces updates to the config.toml file by adding two parameters, base_url and api_key, under the [openai] section. Additionally, it implements a new data class, OpenAIConfig, in the model_initialization.py file, which extends ModelConfig to include the new attributes. The RAIConfig class is modified to utilize OpenAIConfig, enhancing the handling of OpenAI configurations and improving error handling for the API key.

Changes

File	Change Summary
config.toml	Added `base_url` and `api_key` parameters under the `[openai]` section.
src/rai/rai/utils/model_initialization.py	Introduced `OpenAIConfig` class with `base_url` and `api_key`. Updated `RAIConfig` to use `OpenAIConfig`. Modified `load_config` to instantiate `OpenAIConfig`. Enhanced `get_llm_model` to handle `api_key` retrieval and error management.

Possibly related PRs

#304: The changes in this PR enhance the configuration process of RAI, which is directly related to the updates made in the config.toml file in the main PR, specifically regarding the handling of OpenAI configurations.

Suggested reviewers

adamdbrw
boczekbartek

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RobotecAI / rai