Add tests for Gemini via openai package

.env.template

@@ -1,6 +1,7 @@
 # To set API keys, copy this as .env and fill in the values
 # API keys are required to rewrite the VCR cassettes for the tests
 ANTHROPIC_API_KEY="anthropic_api_key"
+GEMINI_API_KEY="gemini_api_key"
 MISTRAL_API_KEY="mistral_api_key"
 OPENAI_API_KEY="openai_api_key"
 XAI_API_KEY="xai_api_key"

docs/configuration.md

@@ -16,6 +16,26 @@ from magentic import OpenaiChatModel
 model = OpenaiChatModel("gpt-4o")
 ```
 
+### Gemini via OpenAI
+
+Gemini supports an OpenAI-compatible API, allowing you to use their models through the OpenAI backend. See https://ai.google.dev/gemini-api/docs/openai
+
+First, ensure you have the appropriate API key set as an environment variable `GEMINI_API_KEY`.
+
+Then, specify the model name, Google APIs `base_url`, and API key when creating the `OpenaiChatModel` instance.
+
+```python
+import os
+
+from magentic import OpenaiChatModel
+
+model = OpenaiChatModel(
+    "gemini-2.0-flash",
+    base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
+    api_key=os.environ["GEMINI_API_KEY"],
+)
+```
+
 #### Ollama via OpenAI
 
 Ollama supports an OpenAI-compatible API, which allows you to use Ollama models via the OpenAI backend.

pyproject.toml

@@ -91,6 +91,7 @@ markers = [
     "litellm_openai: Tests that query the OpenAI API via litellm. Requires the OPENAI_API_KEY environment variable to be set.",
     "mistral: Tests that query the Mistral API (via openai). Requires the MISTRAL_API_KEY environment variable to be set.",
     "openai: Tests that query the OpenAI API. Requires the OPENAI_API_KEY environment variable to be set.",
+    "openai_gemini: Tests that query the Gemini API via openai. Requires the GEMINI_API_KEY environment variable to be set.",
     "openai_ollama: Tests that query Ollama via openai. Requires ollama to be installed and running on localhost:11434.",
     "openai_xai: Tests that query xAI via openai. Requires the XAI_API_KEY environment variable to be set.",
 ]

src/magentic/chat_model/openai_chat_model.py

@@ -350,7 +350,10 @@ def update(self, item: ChatCompletionChunk) -> None:
                 tool_call_chunk.index = self._current_tool_call_index
         self._chat_completion_stream_state.handle_chunk(item)
         if item.usage:
-            # xAI Grok provides usage on every chunk, so cannot assert usage is None here
+            # Only keep the last usage
+            # xAI Grok and Gemini openai-compatible API includes usage in all streamed chunks
+            # OpenAI only includes this in the last chunk
+            self.usage_ref.clear()
             self.usage_ref.append(
                 Usage(
                     input_tokens=item.usage.prompt_tokens,

tests/chat_model/cassettes/test_openai_chat_model_gemini/test_openai_chat_model_gemini_acomplete[Return True.-output_types1-bool].yaml

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