diff --git a/py/plugins/google-genai/src/genkit/plugins/google_genai/models/gemini.py b/py/plugins/google-genai/src/genkit/plugins/google_genai/models/gemini.py index 30d8a539c7..3931a0d1a0 100644 --- a/py/plugins/google-genai/src/genkit/plugins/google_genai/models/gemini.py +++ b/py/plugins/google-genai/src/genkit/plugins/google_genai/models/gemini.py @@ -14,6 +14,109 @@ # # SPDX-License-Identifier: Apache-2.0 +"""Gemini models for use with Genkit. + +# Naming convention +Gemini models follow the following naming conventions: + + +------- Tier/Variant (e.g., pro, flash) + | +---------- Modifier (Optional, e.g., exp) + | | +--- Date/Snapshot ID (Optional) + v v v + gemini - - [-MOD] [-DATE] + ^ ^ ^ + | | | +(Family)--+ | +-- Size Specifier (Optional, e.g., -8b, + | | often follows TIER like 'flash') + | | + +--------+---------- Version (Major generation, e.g., 1.0, 1.5, 2.0) + + +## Examples + +gemini - 1.5 - flash - 8b + ^ ^ ^ ^ + | | | +-- Size Specifier + | | +--------- Tier/Variant + | +----------------- Version + +------------------------ Family + +gemini - 2.0 - pro - exp - 02-05 + ^ ^ ^ ^ ^ + | | | | +-- Date/Snapshot ID + | | | +--------- Modifier + | | +---------------- Tier/Variant + | +------------------------ Version + +------------------------------- Family + +## Terminology + +Family (`gemini`) +: The base name identifying the overarching group or brand of related AI models + developed by Google (e.g., Gemini). + +Version Number (e.g., `1.0`, `1.5`, `2.0`, `2.5`) +: Indicates the major generation or release cycle of the model within the + family. Higher numbers typically denote newer iterations, often incorporating + significant improvements, architectural changes, or new capabilities compared + to previous versions. + +Tier / Variant (e.g., `pro`, `flash`) +: Distinguishes models within the same generation based on specific + characteristics like performance profile, size, speed, efficiency, or intended + primary use case. + + * **`pro`**: Generally indicates a high-capability, powerful, and versatile + model within its generation, suitable for a wide range of complex tasks. + + * **`flash`**: Often signifies a model optimized for speed, latency, and + cost-efficiency, potentially offering a different balance of performance + characteristics compared to the `pro` variant. + +Size Specifier (e.g., `8b`) +: An optional component, frequently appended to a Tier/Variant (like `flash`), + providing more specific detail about the model's scale. This often relates to + the approximate number of parameters (e.g., `8b` likely suggests 8 billion + parameters), influencing its performance and resource requirements. + +Modifier (e.g., `exp`) +: An optional flag indicating the model's release status, stability, or intended + audience. + + * **`exp`**: Stands for "Experimental". Models marked with `exp` are typically + previews or early releases. They are subject to change, updates, or removal + without the standard notice periods applied to stable models, and they lack + long-term stability guarantees, making them generally unsuitable for + production systems requiring stability. + +Date / Snapshot ID (e.g., `02-05`, `03-25`) +: An optional identifier, commonly seen with experimental (`exp`) models. It + likely represents a specific build date (often in MM-DD format) or a unique + snapshot identifier, helping to distinguish between different iterations or + releases within the experimental track. + +# Model support + +The following models are currently supported: + +| Model | Description | Deprecated | +|-----------------------------|---------------------------|---------------| +| `gemini-1.0-pro` | Gemini 1.0 Pro | July 12, 2024 | +| `gemini-1.5-pro` | Gemini 1.5 Pro | No | +| `gemini-1.5-flash` | Gemini 1.5 Flash | No | +| `gemini-1.5-flash-8b` | Gemini 1.5 Flash 8B | No | +| `gemini-2.0-flash` | Gemini 2.0 Flash | No | +| `gemini-2.0-flash-lite` | Gemini 2.0 Flash Lite | No | +| `gemini-2.0-pro-exp-02-05` | Gemini 2.0 Pro Exp 02-05 | No | +| `gemini-2.5-pro-exp-03-25` | Gemini 2.5 Pro Exp 03-25 | No | + +The following models are supported for API only: + +| Model | Description | Deprecated | +|------------------------|-------------------------------|--------------| +| `gemini-2.0-flash-exp` | Gemini 2.0 Flash Experimental | No | +""" + from enum import StrEnum from functools import cached_property from typing import Any @@ -37,7 +140,7 @@ ) from genkit.plugins.google_genai.models.utils import PartConverter -gemini10Pro = ModelInfo( +GEMINI_10_PRO = ModelInfo( label='Google AI - Gemini Pro', versions=['gemini-pro', 'gemini-1.0-pro-latest', 'gemini-1.0-pro-001'], supports=Supports( @@ -51,7 +154,7 @@ ) -gemini15Pro = ModelInfo( +GEMINI_15_PRO = ModelInfo( label='Google AI - Gemini 1.5 Pro', versions=[ 'gemini-1.5-pro-latest', @@ -69,7 +172,7 @@ ) -gemini15Flash = ModelInfo( +GEMINI_15_FLASH = ModelInfo( label='Google AI - Gemini 1.5 Flash', versions=[ 'gemini-1.5-flash-latest', @@ -87,7 +190,7 @@ ) -gemini15Flash8b = ModelInfo( +GEMINI_15_FLASH_8B = ModelInfo( label='Google AI - Gemini 1.5 Flash', versions=['gemini-1.5-flash-8b-latest', 'gemini-1.5-flash-8b-001'], supports=Supports( @@ -101,7 +204,7 @@ ) -gemini20Flash = ModelInfo( +GEMINI_20_FLASH = ModelInfo( label='Google AI - Gemini 2.0 Flash', supports=Supports( multiturn=True, @@ -114,7 +217,20 @@ ) -gemini20ProExp0205 = ModelInfo( +GEMINI_20_FLASH_LITE = ModelInfo( + label='Google AI - Gemini 2.0 Flash Lite', + supports=Supports( + multiturn=True, + media=True, + tools=True, + tool_choice=True, + system_role=True, + constrained='no-tools', + ), +) + + +GEMINI_20_PRO_EXP_0205 = ModelInfo( label='Google AI - Gemini 2.0 Pro Exp 02-05', supports=Supports( multiturn=True, @@ -126,7 +242,7 @@ ), ) -gemini20FlashExpImaGen = ModelInfo( +GEMINI_20_FLASH_EXP_IMAGEN = ModelInfo( label='Google AI - Gemini 2.0 Flash Experimental', supports=Supports( multiturn=True, @@ -138,38 +254,67 @@ ), ) +GEMINI_25_PRO_EXP_0325 = ModelInfo( + label='Google AI - Gemini 2.5 Pro Exp 03-25', + supports=Supports( + multiturn=True, + media=True, + tools=True, + tool_choice=True, + system_role=True, + constrained='no-tools', + ), +) + class GeminiVersion(StrEnum): + """Gemini models.""" + GEMINI_1_0_PRO = 'gemini-1.0-pro' GEMINI_1_5_PRO = 'gemini-1.5-pro' GEMINI_1_5_FLASH = 'gemini-1.5-flash' GEMINI_1_5_FLASH_8B = 'gemini-1.5-flash-8b' GEMINI_2_0_FLASH = 'gemini-2.0-flash' + GEMINI_2_0_FLASH_LITE = 'gemini-2.0-flash-lite' GEMINI_2_0_PRO_EXP_02_05 = 'gemini-2.0-pro-exp-02-05' + GEMINI_2_5_PRO_EXP_03_25 = 'gemini-2.5-pro-exp-03-25' class GeminiApiOnlyVersion(StrEnum): + """Gemini API only models.""" + GEMINI_2_0_FLASH_EXP = 'gemini-2.0-flash-exp' SUPPORTED_MODELS = { - GeminiVersion.GEMINI_1_0_PRO: gemini10Pro, - GeminiVersion.GEMINI_1_5_PRO: gemini15Pro, - GeminiVersion.GEMINI_1_5_FLASH: gemini15Flash, - GeminiVersion.GEMINI_1_5_FLASH_8B: gemini15Flash8b, - GeminiVersion.GEMINI_2_0_FLASH: gemini20Flash, - GeminiVersion.GEMINI_2_0_PRO_EXP_02_05: gemini20ProExp0205, - GeminiApiOnlyVersion.GEMINI_2_0_FLASH_EXP: gemini20FlashExpImaGen, + GeminiVersion.GEMINI_1_0_PRO: GEMINI_10_PRO, + GeminiVersion.GEMINI_1_5_PRO: GEMINI_15_PRO, + GeminiVersion.GEMINI_1_5_FLASH: GEMINI_15_FLASH, + GeminiVersion.GEMINI_1_5_FLASH_8B: GEMINI_15_FLASH_8B, + GeminiVersion.GEMINI_2_0_FLASH: GEMINI_20_FLASH, + GeminiVersion.GEMINI_2_0_FLASH_LITE: GEMINI_20_FLASH_LITE, + GeminiVersion.GEMINI_2_0_PRO_EXP_02_05: GEMINI_20_PRO_EXP_0205, + GeminiApiOnlyVersion.GEMINI_2_0_FLASH_EXP: GEMINI_20_FLASH_EXP_IMAGEN, + GeminiVersion.GEMINI_2_5_PRO_EXP_03_25: GEMINI_25_PRO_EXP_0325, } class GeminiModel: + """Gemini model.""" + def __init__( self, version: str | GeminiVersion | GeminiApiOnlyVersion, client: genai.Client, registry: GenkitRegistry, ): + """Initialize Gemini model. + + Args: + version: Gemini version + client: Google AI client + registry: Genkit registry + """ self._version = version self._client = client self._registry = registry @@ -299,7 +444,6 @@ async def generate( Returns: The model's response to the generation request. """ - request_contents = self._build_messages(request) request_cfg = self._genkit_to_googleai_cfg(request) @@ -316,16 +460,15 @@ async def _generate( request_contents: list[genai.types.Content], request_cfg: genai.types.GenerateContentConfig, ) -> GenerateResponse: - """Call google-genai generate + """Call google-genai generate. Args: request_contents: request contents request_cfg: request configuration Returns: - genai response + genai response. """ - response = await self._client.aio.models.generate_content( model=self._version, contents=request_contents, config=request_cfg ) @@ -345,7 +488,7 @@ async def _streaming_generate( request_cfg: genai.types.GenerateContentConfig | None, ctx: ActionRunContext, ) -> GenerateResponse: - """Call google-genai generate for streaming + """Call google-genai generate for streaming. Args: request_contents: request contents @@ -355,12 +498,10 @@ async def _streaming_generate( Returns: empty genai response """ - - async for ( - response_chunk - ) in await self._client.aio.models.generate_content_stream( + generator = self._client.aio.models.generate_content_stream( model=self._version, contents=request_contents, config=request_cfg - ): + ) + async for response_chunk in await generator: content = self._contents_from_response(response_chunk) ctx.send_chunk( @@ -378,10 +519,10 @@ async def _streaming_generate( @cached_property def metadata(self) -> dict: - """Get model metadata + """Get model metadata. Returns: - model metadata + model metadata. """ supports = SUPPORTED_MODELS[self._version].supports.model_dump() return { @@ -391,18 +532,23 @@ def metadata(self) -> dict: } def is_multimode(self): + """Check if the model supports media. + + Returns: + True if the model supports media, False otherwise. + """ return SUPPORTED_MODELS[self._version].supports.media def _build_messages( self, request: GenerateRequest ) -> list[genai.types.Content]: - """Build google-genai request contents from Genkit request + """Build google-genai request contents from Genkit request. Args: - request: Genkit request + request: Genkit request. Returns: - list of google-genai contents + list of google-genai contents. """ request_contents: list[genai.types.Content] = [] @@ -419,15 +565,14 @@ def _build_messages( def _contents_from_response( self, response: genai.types.GenerateContentResponse ) -> list: - """Retrieve contents from google-genai response + """Retrieve contents from google-genai response. Args: - response: google-genai response + response: google-genai response. Returns: - list of generated contents + list of generated contents. """ - content = [] if response.candidates: for candidate in response.candidates: @@ -439,13 +584,13 @@ def _contents_from_response( def _genkit_to_googleai_cfg( self, request: GenerateRequest ) -> genai.types.GenerateContentConfig | None: - """Translate GenerationCommonConfig to Google Ai GenerateContentConfig + """Translate GenerationCommonConfig to Google Ai GenerateContentConfig. Args: - request: Genkit request + request: Genkit request. Returns: - Google Ai request config or None + Google Ai request config or None. """ cfg = None diff --git a/py/pyproject.toml b/py/pyproject.toml index 88c6229c72..bf33d2bc86 100644 --- a/py/pyproject.toml +++ b/py/pyproject.toml @@ -79,8 +79,9 @@ genkit-plugin-ollama = { workspace = true } genkit-plugin-pinecone = { workspace = true } genkit-plugin-vertex-ai = { workspace = true } hello = { workspace = true } +hello-google-genai = { workspace = true } menu = { workspace = true } -multi_server = { workspace = true } +multi-server = { workspace = true } prompt-file = { workspace = true } rag = { workspace = true } vertex-ai-imagen = { workspace = true } @@ -176,19 +177,24 @@ explicit_package_bases = true mypy_path = [ "packages/genkit-ai/src", "plugins/chroma/src", + "plugins/compat-oai/src", "plugins/firebase/src", "plugins/google-ai/src", + "plugins/google-ai/src", "plugins/google-cloud/src", + "plugins/google-cloud/src", + "plugins/google-genai/src", "plugins/ollama/src", "plugins/pinecone/src", "plugins/vertex-ai/src", - "plugins/compat-oai/src", "samples/basic-gemini/src", "samples/coffee-shop/src", "samples/context-caching/src", "samples/flow-sample1/src", + "samples/google-genai-sample/src", "samples/hello/src", "samples/menu/src", + "samples/multi-server/src", "samples/prompt-file/src", "samples/rag/src", "samples/vertex-ai-model-garden/src", diff --git a/py/samples/google_genai/LICENSE b/py/samples/hello-google-genai/LICENSE similarity index 100% rename from py/samples/google_genai/LICENSE rename to py/samples/hello-google-genai/LICENSE diff --git a/py/samples/google_genai/README.md b/py/samples/hello-google-genai/README.md similarity index 100% rename from py/samples/google_genai/README.md rename to py/samples/hello-google-genai/README.md diff --git a/py/samples/google_genai/pyproject.toml b/py/samples/hello-google-genai/pyproject.toml similarity index 84% rename from py/samples/google_genai/pyproject.toml rename to py/samples/hello-google-genai/pyproject.toml index 6a42f7ab5d..9f61d161a0 100644 --- a/py/samples/google_genai/pyproject.toml +++ b/py/samples/hello-google-genai/pyproject.toml @@ -16,17 +16,13 @@ classifiers = [ ] dependencies = [ "genkit-ai", - "genkit-plugin-firebase", "genkit-plugin-google-ai", - "genkit-plugin-google-cloud", - "genkit-plugin-ollama", - "genkit-plugin-pinecone", - "genkit-plugin-vertex-ai", + "genkit-plugin-google-genai", "pydantic>=2.10.5", ] description = "Hello world sample" license = { text = "Apache-2.0" } -name = "hello_google_genai" +name = "hello-google-genai" readme = "README.md" requires-python = ">=3.12" version = "0.1.0" diff --git a/py/samples/google_genai/src/hello.py b/py/samples/hello-google-genai/src/hello.py similarity index 100% rename from py/samples/google_genai/src/hello.py rename to py/samples/hello-google-genai/src/hello.py diff --git a/py/samples/multi_server/README.md b/py/samples/multi-server/README.md similarity index 100% rename from py/samples/multi_server/README.md rename to py/samples/multi-server/README.md diff 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