Gemini Client - Python SDK for Google Gemini AI API

A comprehensive Python client library for Google's Gemini AI API. This package provides easy-to-use interfaces for text generation, chat, embeddings, and multimodal AI capabilities.

Author: Qaadir
Email: qaadireng@gmail.com
GitHub: github.com/AbQaadir

This Python package is automatically generated by the OpenAPI Generator project:

• API version: 0.0.1
• Package version: 1.0.0
• Generator version: 7.14.0
• Build package: org.openapitools.codegen.languages.PythonClientCodegen

Requirements

Python 3.9+

Installation & Usage

pip install

pip install gemini-client

From source

If you want to install from source:

pip install git+https://github.com/AbQaadir/gemini-client.git

Then import the package:

import openapi_client

Tests

Execute pytest to run the tests.

Getting Started

Please follow the installation procedure and then run the following:

import openapi_client
from openapi_client.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to https://generativelanguage.googleapis.com
# See configuration.py for a list of all supported configuration parameters.
configuration = openapi_client.Configuration(
    host = "https://generativelanguage.googleapis.com"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: ApiKeyAuth
configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]

# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiKeyAuth'] = 'Bearer'


# Enter a context with an instance of the API client
with openapi_client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = openapi_client.GenerativeServiceApi(api_client)
    model = 'model_example' # str | The model id.
    batch_embed_contents_request = openapi_client.BatchEmbedContentsRequest() # BatchEmbedContentsRequest | 

    try:
        api_response = api_instance.generative_service_batch_embed_contents(model, batch_embed_contents_request)
        print("The response of GenerativeServiceApi->generative_service_batch_embed_contents:\n")
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling GenerativeServiceApi->generative_service_batch_embed_contents: %s\n" % e)

Documentation for API Endpoints

All URIs are relative to https://generativelanguage.googleapis.com

Documentation For Models

• AttributionSourceId
• AttributionSourceIdGroundingPassageId
• AttributionSourceIdSemanticRetrieverChunk
• BatchEmbedContentsRequest
• BatchEmbedContentsResponse
• Blob
• Candidate
• CitationMetadata
• CitationSource
• CodeExecutionResult
• Condition
• Content
• ContentEmbedding
• CountTokensRequest
• CountTokensResponse
• DynamicRetrievalConfig
• EmbedContentRequest
• EmbedContentResponse
• ExecutableCode
• FileData
• FunctionCall
• FunctionCallingConfig
• FunctionDeclaration
• FunctionResponse
• GenerateAnswerRequest
• GenerateAnswerResponse
• GenerateAnswerResponseInputFeedback
• GenerateContentRequest
• GenerateContentResponse
• GenerateContentResponsePromptFeedback
• GenerateContentResponseUsageMetadata
• GenerationConfig
• GoogleProtobufAny
• GoogleSearchRetrieval
• GroundingAttribution
• GroundingChunk
• GroundingChunkWeb
• GroundingMetadata
• GroundingPassage
• GroundingPassages
• GroundingSupport
• Interval
• LogprobsResult
• LogprobsResultCandidate
• LogprobsResultTopCandidates
• MetadataFilter
• ModalityTokenCount
• ModelSchema
• MultiSpeakerVoiceConfig
• Part
• PrebuiltVoiceConfig
• RetrievalMetadata
• SafetyRating
• SafetySetting
• SearchEntryPoint
• Segment
• SemanticRetrieverConfig
• SpeakerVoiceConfig
• SpeechConfig
• Status
• ThinkingConfig
• Tool
• ToolConfig
• ToolGoogleSearch
• UrlContextMetadata
• UrlMetadata
• VideoMetadata
• VoiceConfig

Documentation For Authorization

Authentication schemes defined for the API:

ApiKeyAuth

• Type: API key
• API key parameter name: x-goog-api-key
• Location: HTTP header

Author