From 5a4ed2027ec787bc2ba9dbe03982f09fb4a441d2 Mon Sep 17 00:00:00 2001 From: Ali Ihsan Nergiz Date: Mon, 5 Jan 2026 04:43:33 +0300 Subject: [PATCH 1/3] feat: add Gemini client using native google-genai SDK MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds support for Google Gemini models as a new backend option. - Create GeminiClient in rlm/clients/gemini.py using official google-genai SDK - Add "gemini" to ClientBackend type - Register GeminiClient in get_client() factory - Add google-genai>=1.56.0 dependency - Default model: gemini-2.5-flash Usage: ```python rlm = RLM( backend="gemini", backend_kwargs={"api_key": "...", "model_name": "gemini-2.5-flash"}, environment="local", ) ``` 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 --- pyproject.toml | 1 + rlm/clients/__init__.py | 6 +- rlm/clients/gemini.py | 159 +++ rlm/core/types.py | 2 +- uv.lock | 2451 ++++++++++++++++++++------------------- 5 files changed, 1451 insertions(+), 1168 deletions(-) create mode 100644 rlm/clients/gemini.py diff --git a/pyproject.toml b/pyproject.toml index b7f36ce90..d79b7022f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,6 +9,7 @@ readme = "README.md" requires-python = ">=3.11" dependencies = [ "anthropic>=0.75.0", + "google-genai>=1.56.0", "openai>=2.14.0", "portkey-ai>=2.1.0", "pytest>=9.0.2", diff --git a/rlm/clients/__init__.py b/rlm/clients/__init__.py index 716062680..df3783d8f 100644 --- a/rlm/clients/__init__.py +++ b/rlm/clients/__init__.py @@ -44,7 +44,11 @@ def get_client( from rlm.clients.anthropic import AnthropicClient return AnthropicClient(**backend_kwargs) + elif backend == "gemini": + from rlm.clients.gemini import GeminiClient + + return GeminiClient(**backend_kwargs) else: raise ValueError( - f"Unknown backend: {backend}. Supported backends: ['openai', 'vllm', 'portkey', 'openrouter', 'litellm', 'anthropic']" + f"Unknown backend: {backend}. Supported backends: ['openai', 'vllm', 'portkey', 'openrouter', 'litellm', 'anthropic', 'gemini']" ) diff --git a/rlm/clients/gemini.py b/rlm/clients/gemini.py new file mode 100644 index 000000000..d482f33b4 --- /dev/null +++ b/rlm/clients/gemini.py @@ -0,0 +1,159 @@ +import os +from collections import defaultdict +from typing import Any + +from google import genai +from google.genai import types + +from rlm.clients.base_lm import BaseLM +from rlm.core.types import ModelUsageSummary, UsageSummary + +DEFAULT_GEMINI_API_KEY = os.getenv("GEMINI_API_KEY") + + +class GeminiClient(BaseLM): + """ + LM Client for running models with the Google Gemini API. + Uses the official google-genai SDK. + """ + + def __init__( + self, + api_key: str | None = None, + model_name: str | None = "gemini-2.5-flash", + **kwargs, + ): + super().__init__(model_name=model_name, **kwargs) + + if api_key is None: + api_key = DEFAULT_GEMINI_API_KEY + + if api_key is None: + raise ValueError( + "Gemini API key is required. Set GEMINI_API_KEY env var or pass api_key." + ) + + self.client = genai.Client(api_key=api_key) + self.model_name = model_name + + # Per-model usage tracking + self.model_call_counts: dict[str, int] = defaultdict(int) + self.model_input_tokens: dict[str, int] = defaultdict(int) + self.model_output_tokens: dict[str, int] = defaultdict(int) + self.model_total_tokens: dict[str, int] = defaultdict(int) + + # Last call tracking + self.last_prompt_tokens = 0 + self.last_completion_tokens = 0 + + def completion(self, prompt: str | list[dict[str, Any]], model: str | None = None) -> str: + contents, system_instruction = self._prepare_contents(prompt) + + model = model or self.model_name + if not model: + raise ValueError("Model name is required for Gemini client.") + + config = None + if system_instruction: + config = types.GenerateContentConfig(system_instruction=system_instruction) + + response = self.client.models.generate_content( + model=model, + contents=contents, + config=config, + ) + + self._track_cost(response, model) + return response.text + + async def acompletion( + self, prompt: str | list[dict[str, Any]], model: str | None = None + ) -> str: + contents, system_instruction = self._prepare_contents(prompt) + + model = model or self.model_name + if not model: + raise ValueError("Model name is required for Gemini client.") + + config = None + if system_instruction: + config = types.GenerateContentConfig(system_instruction=system_instruction) + + # google-genai SDK supports async via aio interface + response = await self.client.aio.models.generate_content( + model=model, + contents=contents, + config=config, + ) + + self._track_cost(response, model) + return response.text + + def _prepare_contents( + self, prompt: str | list[dict[str, Any]] + ) -> tuple[list[types.Content] | str, str | None]: + """Prepare contents and extract system instruction for Gemini API.""" + system_instruction = None + + if isinstance(prompt, str): + return prompt, None + + if isinstance(prompt, list) and all(isinstance(item, dict) for item in prompt): + # Convert OpenAI-style messages to Gemini format + contents = [] + for msg in prompt: + role = msg.get("role") + content = msg.get("content", "") + + if role == "system": + # Gemini handles system instruction separately + system_instruction = content + elif role == "user": + contents.append(types.Content(role="user", parts=[types.Part(text=content)])) + elif role == "assistant": + # Gemini uses "model" instead of "assistant" + contents.append(types.Content(role="model", parts=[types.Part(text=content)])) + else: + # Default to user role for unknown roles + contents.append(types.Content(role="user", parts=[types.Part(text=content)])) + + return contents, system_instruction + + raise ValueError(f"Invalid prompt type: {type(prompt)}") + + def _track_cost(self, response: types.GenerateContentResponse, model: str): + self.model_call_counts[model] += 1 + + # Extract token usage from response + usage = response.usage_metadata + if usage: + input_tokens = usage.prompt_token_count or 0 + output_tokens = usage.candidates_token_count or 0 + + self.model_input_tokens[model] += input_tokens + self.model_output_tokens[model] += output_tokens + self.model_total_tokens[model] += input_tokens + output_tokens + + # Track last call for handler to read + self.last_prompt_tokens = input_tokens + self.last_completion_tokens = output_tokens + else: + self.last_prompt_tokens = 0 + self.last_completion_tokens = 0 + + def get_usage_summary(self) -> UsageSummary: + model_summaries = {} + for model in self.model_call_counts: + model_summaries[model] = ModelUsageSummary( + total_calls=self.model_call_counts[model], + total_input_tokens=self.model_input_tokens[model], + total_output_tokens=self.model_output_tokens[model], + ) + return UsageSummary(model_usage_summaries=model_summaries) + + def get_last_usage(self) -> ModelUsageSummary: + return ModelUsageSummary( + total_calls=1, + total_input_tokens=self.last_prompt_tokens, + total_output_tokens=self.last_completion_tokens, + ) diff --git a/rlm/core/types.py b/rlm/core/types.py index ad1676284..111bdb0a9 100644 --- a/rlm/core/types.py +++ b/rlm/core/types.py @@ -2,7 +2,7 @@ from types import ModuleType from typing import Any, Literal -ClientBackend = Literal["openai", "portkey", "openrouter", "vllm", "litellm", "anthropic"] +ClientBackend = Literal["openai", "portkey", "openrouter", "vllm", "litellm", "anthropic", "gemini"] EnvironmentType = Literal["local", "prime", "modal"] diff --git a/uv.lock b/uv.lock index 8bf44cc22..095864fe1 100644 --- a/uv.lock +++ b/uv.lock @@ -1,14 +1,14 @@ version = 1 -revision = 3 +revision = 1 requires-python = ">=3.11" [[package]] name = "aiohappyeyeballs" version = "2.6.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", 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"https://files.pythonhosted.org/packages/73/ae/b48f95715333080afb75a4504487cbe142cae1268afc482d06692d605ae6/yarl-1.22.0-py3-none-any.whl", hash = "sha256:1380560bdba02b6b6c90de54133c81c9f2a453dee9912fe58c1dcced1edb7cff", size = 46814 }, ] From 0ca4a201a5e086e2eac9b1b8878719f6e986ba94 Mon Sep 17 00:00:00 2001 From: Ali Ihsan Nergiz Date: Mon, 5 Jan 2026 04:45:43 +0300 Subject: [PATCH 2/3] fix: add load_dotenv() to gemini client for consistency MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Matches the pattern used in openai.py client. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 --- rlm/clients/gemini.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/rlm/clients/gemini.py b/rlm/clients/gemini.py index d482f33b4..7f6dc1520 100644 --- a/rlm/clients/gemini.py +++ b/rlm/clients/gemini.py @@ -2,12 +2,15 @@ from collections import defaultdict from typing import Any +from dotenv import load_dotenv from google import genai from google.genai import types from rlm.clients.base_lm import BaseLM from rlm.core.types import ModelUsageSummary, UsageSummary +load_dotenv() + DEFAULT_GEMINI_API_KEY = os.getenv("GEMINI_API_KEY") From f63b07b24b2b89ed018b7bf285639ed3cb37d76c Mon Sep 17 00:00:00 2001 From: Ali Ihsan Nergiz Date: Mon, 5 Jan 2026 04:56:10 +0300 Subject: [PATCH 3/3] test: add comprehensive unit tests for Gemini client MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 12 unit tests with mocked API calls - 3 integration tests (skipped without GEMINI_API_KEY) - Tests cover initialization, usage tracking, message preparation, role mapping 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 --- tests/clients/test_gemini.py | 189 +++++++++++++++++++++++++++++++++++ 1 file changed, 189 insertions(+) create mode 100644 tests/clients/test_gemini.py diff --git a/tests/clients/test_gemini.py b/tests/clients/test_gemini.py new file mode 100644 index 000000000..181a3ee8d --- /dev/null +++ b/tests/clients/test_gemini.py @@ -0,0 +1,189 @@ +"""Tests for the Gemini client.""" + +import os +from unittest.mock import MagicMock, patch + +import pytest +from dotenv import load_dotenv + +from rlm.clients.gemini import GeminiClient +from rlm.core.types import ModelUsageSummary, UsageSummary + +load_dotenv() + + +class TestGeminiClientUnit: + """Unit tests that don't require API calls.""" + + def test_init_with_api_key(self): + """Test client initialization with explicit API key.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key", model_name="gemini-2.5-flash") + assert client.model_name == "gemini-2.5-flash" + + def test_init_default_model(self): + """Test client uses default model name.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key") + assert client.model_name == "gemini-2.5-flash" + + def test_init_requires_api_key(self): + """Test client raises error when no API key provided.""" + with patch.dict(os.environ, {}, clear=True): + with patch("rlm.clients.gemini.DEFAULT_GEMINI_API_KEY", None): + with pytest.raises(ValueError, match="Gemini API key is required"): + GeminiClient(api_key=None) + + def test_usage_tracking_initialization(self): + """Test that usage tracking is properly initialized.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key") + assert client.model_call_counts == {} + assert client.model_input_tokens == {} + assert client.model_output_tokens == {} + assert client.last_prompt_tokens == 0 + assert client.last_completion_tokens == 0 + + def test_get_usage_summary_empty(self): + """Test usage summary when no calls have been made.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key") + summary = client.get_usage_summary() + assert isinstance(summary, UsageSummary) + assert summary.model_usage_summaries == {} + + def test_get_last_usage(self): + """Test last usage returns correct format.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key") + client.last_prompt_tokens = 100 + client.last_completion_tokens = 50 + usage = client.get_last_usage() + assert isinstance(usage, ModelUsageSummary) + assert usage.total_calls == 1 + assert usage.total_input_tokens == 100 + assert usage.total_output_tokens == 50 + + def test_prepare_contents_string(self): + """Test _prepare_contents with string input.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key") + contents, system = client._prepare_contents("Hello world") + assert contents == "Hello world" + assert system is None + + def test_prepare_contents_messages_with_system(self): + """Test _prepare_contents extracts system message.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key") + messages = [ + {"role": "system", "content": "You are helpful"}, + {"role": "user", "content": "Hello"}, + ] + contents, system = client._prepare_contents(messages) + assert system == "You are helpful" + assert len(contents) == 1 + assert contents[0].role == "user" + + def test_prepare_contents_role_mapping(self): + """Test _prepare_contents maps assistant to model.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key") + messages = [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi there"}, + {"role": "user", "content": "How are you?"}, + ] + contents, system = client._prepare_contents(messages) + assert system is None + assert len(contents) == 3 + assert contents[0].role == "user" + assert contents[1].role == "model" # assistant -> model + assert contents[2].role == "user" + + def test_prepare_contents_invalid_type(self): + """Test _prepare_contents raises on invalid input.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key") + with pytest.raises(ValueError, match="Invalid prompt type"): + client._prepare_contents(12345) + + def test_completion_requires_model(self): + """Test completion raises when no model specified.""" + with patch("rlm.clients.gemini.genai.Client"): + client = GeminiClient(api_key="test-key", model_name=None) + with pytest.raises(ValueError, match="Model name is required"): + client.completion("Hello") + + def test_completion_with_mocked_response(self): + """Test completion with mocked API response.""" + mock_response = MagicMock() + mock_response.text = "Hello from Gemini!" + mock_response.usage_metadata.prompt_token_count = 10 + mock_response.usage_metadata.candidates_token_count = 5 + + with patch("rlm.clients.gemini.genai.Client") as mock_client_class: + mock_client = MagicMock() + mock_client.models.generate_content.return_value = mock_response + mock_client_class.return_value = mock_client + + client = GeminiClient(api_key="test-key", model_name="gemini-2.5-flash") + result = client.completion("Hello") + + assert result == "Hello from Gemini!" + assert client.model_call_counts["gemini-2.5-flash"] == 1 + assert client.model_input_tokens["gemini-2.5-flash"] == 10 + assert client.model_output_tokens["gemini-2.5-flash"] == 5 + + +class TestGeminiClientIntegration: + """Integration tests that require a real API key.""" + + @pytest.mark.skipif( + not os.environ.get("GEMINI_API_KEY"), + reason="GEMINI_API_KEY not set", + ) + def test_simple_completion(self): + """Test a simple completion with real API.""" + client = GeminiClient(model_name="gemini-2.5-flash") + result = client.completion("What is 2+2? Reply with just the number.") + assert "4" in result + + # Verify usage was tracked + usage = client.get_usage_summary() + assert "gemini-2.5-flash" in usage.model_usage_summaries + assert usage.model_usage_summaries["gemini-2.5-flash"].total_calls == 1 + + @pytest.mark.skipif( + not os.environ.get("GEMINI_API_KEY"), + reason="GEMINI_API_KEY not set", + ) + def test_message_list_completion(self): + """Test completion with message list format.""" + client = GeminiClient(model_name="gemini-2.5-flash") + messages = [ + {"role": "system", "content": "You are a helpful math tutor."}, + {"role": "user", "content": "What is 5 * 5? Reply with just the number."}, + ] + result = client.completion(messages) + assert "25" in result + + @pytest.mark.skipif( + not os.environ.get("GEMINI_API_KEY"), + reason="GEMINI_API_KEY not set", + ) + async def test_async_completion(self): + """Test async completion.""" + client = GeminiClient(model_name="gemini-2.5-flash") + result = await client.acompletion("What is 3+3? Reply with just the number.") + assert "6" in result + + +if __name__ == "__main__": + # Run integration tests directly + test = TestGeminiClientIntegration() + print("Testing simple completion...") + test.test_simple_completion() + print("Testing message list completion...") + test.test_message_list_completion() + print("All integration tests passed!")