diff --git a/docs/_sources/index.rst.txt b/docs/_sources/index.rst.txt index fb7c4f18..89869b40 100644 --- a/docs/_sources/index.rst.txt +++ b/docs/_sources/index.rst.txt @@ -47,6 +47,37 @@ run all the examples to see how it behaves under different APIs. vertexai=True, project='your-project-id', location='us-central1' ) + +**(Optional) Using environment variables:** + +You can create a client by configuring the necessary environmental variables. +Configuration setup instructions depends on whether the user is using the ML Dev +Gemini API or the Vertex AI Gemini API. + +**ML Dev API:** Set `GOOGLE_API_KEY` as shown below: + +.. code:: bash + + export GOOGLE_API_KEY='your-api-key' + + +**Vertex AI Gemini API:** Set `GOOGLE_GENAI_USE_VERTEXAI`, `GOOGLE_CLOUD_PROJECT` +and `GOOGLE_CLOUD_LOCATION`, as shown below: + +.. code:: bash + + export GOOGLE_GENAI_USE_VERTEXAI=false + export GOOGLE_CLOUD_PROJECT='your-project-id' + export GOOGLE_CLOUD_LOCATION='us-central1' + + +```python +client = genai.Client() +``` + +API Selection +^^^^^^^^^^^^^ + To set the API version use ``http_options``. For example, to set the API version to ``v1`` for Vertex AI: .. code:: python @@ -103,7 +134,7 @@ python code. .. code:: python - file = client.files.upload(path='a11.txt') + file = client.files.upload(file='a11.txt') response = client.models.generate_content( model='gemini-2.0-flash-001', contents=['Could you summarize this file?', file] @@ -811,18 +842,27 @@ Upload .. code:: python - file1 = client.files.upload(path='2312.11805v3.pdf') - file2 = client.files.upload(path='2403.05530.pdf') + file1 = client.files.upload(file='2312.11805v3.pdf') + file2 = client.files.upload(file='2403.05530.pdf') print(file1) print(file2) +Get +--- + +.. code:: python + + file1 = client.files.upload(file='2312.11805v3.pdf') + file_info = client.files.get(name=file1.name) + + Delete ------ .. code:: python - file3 = client.files.upload(path='2312.11805v3.pdf') + file3 = client.files.upload(file='2312.11805v3.pdf') client.files.delete(name=file3.name) diff --git a/docs/_static/pygments.css b/docs/_static/pygments.css index 02b4b128..f71bfbfc 100644 --- a/docs/_static/pygments.css +++ b/docs/_static/pygments.css @@ -5,83 +5,83 @@ .highlight span.linenos.special { color: #000000; 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} body:not([data-theme="light"]) .highlight td.linenos .normal { color: #aaaaaa; background-color: transparent; padding-left: 5px; padding-right: 5px; } @@ -175,84 +175,84 @@ body:not([data-theme="light"]) .highlight span.linenos { color: #aaaaaa; backgro body:not([data-theme="light"]) .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } body:not([data-theme="light"]) .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } body:not([data-theme="light"]) .highlight .hll { background-color: #404040 } -body:not([data-theme="light"]) .highlight { background: #202020; color: #d0d0d0 } -body:not([data-theme="light"]) .highlight .c { color: #ababab; font-style: italic } /* Comment */ -body:not([data-theme="light"]) .highlight .err { color: #a61717; background-color: #e3d2d2 } /* Error */ -body:not([data-theme="light"]) .highlight .esc { color: #d0d0d0 } /* Escape */ -body:not([data-theme="light"]) .highlight .g { color: #d0d0d0 } /* Generic */ -body:not([data-theme="light"]) .highlight .k { color: #6ebf26; 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Submodules
api_key
@@ -376,13 +385,13 @@

Submodules
from google import genai
+
from google import genai
 
 client = genai.Client(api_key='my-api-key')
 

 

 
Usage for the Vertex AI API:

-
from google import genai
+
from google import genai
 
 client = genai.Client(
     vertexai=True, project='my-project-id', location='us-central1'
@@ -416,8 +425,7 @@ 
SubmodulesDebugConfig) – Config settings that control network behavior
 of the client. This is typically used when running test code.

 
  • http_options (Union[HttpOptions, HttpOptionsDict]) – Http options to use
-for the client. The field deprecated_response_payload should not be set
-in http_options.
    • 
+for the client.
    
 
 
 
@@ -1563,7 +1571,7 @@ 
    Submodules
    client = genai.Client(api_key=API_KEY)
 config = {'response_modalities': ['AUDIO']}
-async def audio_stream():
+async def audio_stream():
   stream = read_audio()
   for data in stream:
     yield data
@@ -1671,7 +1679,7 @@ 
    Submodules
    from google.genai.types import RawReferenceImage, MaskReferenceImage
+
    from google.genai.types import RawReferenceImage, MaskReferenceImage
 
 raw_ref_image = RawReferenceImage(
   reference_id=1,
@@ -1738,8 +1746,8 @@ 
    Submodules
    from google.genai import types
-from google import genai
+
    from google.genai import types
+from google import genai
 
 client = genai.Client(
     vertexai=True, project='my-project-id', location='us-central1'
@@ -1796,8 +1804,8 @@ 
    Submodules
    from google.genai import types
-from google import genai
+
    from google.genai import types
+from google import genai
 
 client = genai.Client(
     vertexai=True, project='my-project-id', location='us-central1'
@@ -1874,8 +1882,8 @@ 
    Submodules
 async list(*, config=None)
 
    Makes an API request to list the available models.
    
-
    If query_base is set to True in the config, the API will return all
-available base models. If set to False or not set (default), it will return
+
    If query_base is set to True in the config or not set (default), the
+API will return all available base models. If set to False, it will return
 all tuned models.
    
 
    
 
    Return type:
    
@@ -1927,7 +1935,7 @@ 
    Submodules
    from google.genai.types import Image
+
    from google.genai.types import Image
 
 IMAGE_FILE_PATH="my-image.png"
 response = await client.aio.models.upscale_image(
@@ -2034,7 +2042,7 @@ 
    Submodules
    from google.genai.types import RawReferenceImage, MaskReferenceImage
+
    from google.genai.types import RawReferenceImage, MaskReferenceImage
 
 raw_ref_image = RawReferenceImage(
   reference_id=1,
@@ -2124,8 +2132,8 @@ 
    Submodules
    from google.genai import types
-from google import genai
+
    from google.genai import types
+from google import genai
 
 client = genai.Client(
     vertexai=True, project='my-project-id', location='us-central1'
@@ -2186,8 +2194,8 @@ 
    Submodules
    from google.genai import types
-from google import genai
+
    from google.genai import types
+from google import genai
 
 client = genai.Client(
     vertexai=True, project='my-project-id', location='us-central1'
@@ -2315,7 +2323,7 @@ 
    Submodules
    from google.genai.types import Image
+
    from google.genai.types import Image
 
 IMAGE_FILE_PATH="my-image.png"
 response=client.models.upscale_image(
@@ -7766,7 +7774,7 @@ 
    Submodules                  }
                ],
                "default": null,
-               "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: 'Welcome Image'",
+               "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.",
                "title": "Expirationtime"
             },
             "updateTime": {
@@ -10033,7 +10041,7 @@ 
    Submodules                  }
                ],
                "default": null,
-               "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: 'Welcome Image'",
+               "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.",
                "title": "Expirationtime"
             },
             "updateTime": {
@@ -17097,7 +17105,7 @@ 
    Submodules            }
          ],
          "default": null,
-         "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: 'Welcome Image'",
+         "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.",
          "title": "Expirationtime"
       },
       "updateTime": {
@@ -17327,7 +17335,7 @@ 
    Submodules
 
    
 field expiration_time: Optional[datetime] = None (alias 'expirationTime')
    
-
    Optional. The human-readable display name for the File. The display name must be no more than 512 characters in length, including spaces. Example: ‘Welcome Image’
    
+
    Output only. The timestamp of when the File will be deleted. Only set if the File is scheduled to expire.
    
 
    
 
 
    
@@ -17510,12 +17518,7 @@ 
    Submodules
 
    
 expiration_time: Optional[datetime]
    
-
    ‘Welcome Image’
    
-
    
-
    Type:
    
-
    Optional. The human-readable display name for the File. The display name must be no more than 512 characters in length, including spaces. Example
    
-
    
-
    
+
    Output only. The timestamp of when the File will be deleted. Only set if the File is scheduled to expire.
    
 
    
 
 
    
@@ -19351,7 +19354,7 @@ 
    Submodules                  }
                ],
                "default": null,
-               "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: 'Welcome Image'",
+               "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.",
                "title": "Expirationtime"
             },
             "updateTime": {
@@ -29523,7 +29526,7 @@ 
    Submodules                  }
                ],
                "default": null,
-               "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: 'Welcome Image'",
+               "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.",
                "title": "Expirationtime"
             },
             "updateTime": {
diff --git a/docs/genindex.html b/docs/genindex.html
index 43064f99..169bc63f 100644
--- a/docs/genindex.html
+++ b/docs/genindex.html
@@ -5,7 +5,7 @@
     
 
     Index - Google Gen AI SDK documentation
-
+
     
     
     
diff --git a/docs/index.html b/docs/index.html
index d3af5ca5..aa1bad90 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -7,7 +7,7 @@
 
     
         Google Gen AI SDK documentation
-      
+      
     
     
     
@@ -281,8 +281,8 @@ 
    Installation
 
    Imports
    
-
    from google import genai
-from google.genai import types
+
    from google import genai
+from google.genai import types
 
    
 
    
 
@@ -301,6 +301,26 @@ 
    Create a client)
 
    
 
    
+
    (Optional) Using environment variables:
    
+
    You can create a client by configuring the necessary environmental variables.
+Configuration setup instructions depends on whether the user is using the ML Dev
+Gemini API or the Vertex AI Gemini API.
    
+
    ML Dev API: Set GOOGLE_API_KEY as shown below:
    
+
    export GOOGLE_API_KEY='your-api-key'
+
    
+
    
+
    Vertex AI Gemini API: Set GOOGLE_GENAI_USE_VERTEXAI, GOOGLE_CLOUD_PROJECT
+and GOOGLE_CLOUD_LOCATION, as shown below:
    
+
    export GOOGLE_GENAI_USE_VERTEXAI=false
+export GOOGLE_CLOUD_PROJECT='your-project-id'
+export GOOGLE_CLOUD_LOCATION='us-central1'
+
    
+
    
+
    `python
+client = genai.Client()
+`
    
+
    
+
    API Selection
    
 
    To set the API version use http_options. For example, to set the API version to v1 for Vertex AI:
    
 
    client = genai.Client(
     vertexai=True, project='your-project-id', location='us-central1',
@@ -315,6 +335,7 @@ 
    Create a client
 
    Types
    
 
    Parameter types can be specified as either dictionaries(TypedDict) or Pydantic Models.
@@ -343,7 +364,7 @@ 
    with uploaded file (Gemini API only)
    file = client.files.upload(path='a11.txt')
+
    file = client.files.upload(file='a11.txt')
 response = client.models.generate_content(
     model='gemini-2.0-flash-001',
     contents=['Could you summarize this file?', file]
@@ -465,7 +486,7 @@ 
    Safety Settings
    
 
    You can pass a Python function directly and it will be automatically
 called and responded.
    
-
    def get_current_weather(location: str) -> str:
+
    def get_current_weather(location: str) -> str:
     """Returns the current weather.
 
     Args:
@@ -568,7 +589,7 @@ 
    Function Calling
    def get_current_weather(location: str) -> str:
+
    def get_current_weather(location: str) -> str:
     """Returns the current weather.
 
     Args:
@@ -594,7 +615,7 @@ 
    Function Callingx number of automatic function call turns, you can
 configure the maximum remote calls to be x + 1.
 Assuming you prefer 1 turn for automatic function calling:
    
-
    def get_current_weather(location: str) -> str:
+
    def get_current_weather(location: str) -> str:
     """Returns the current weather.
 
     Args:
@@ -621,10 +642,10 @@ 
    Function Calling
 
    JSON Response Schema
    
 
    Schemas can be provided as Pydantic Models.
    
-
    from pydantic import BaseModel
+
    from pydantic import BaseModel
 
 
-class CountryInfo(BaseModel):
+class CountryInfo(BaseModel):
     name: str
     population: int
     capital: str
@@ -681,9 +702,9 @@ 
    JSON Response SchemaEnum Response Schema
    
 
    You can set response_mime_type to ‘text/x.enum’ to return one of those enum
 values as the response.
    
-
    from enum import Enum
+
    from enum import Enum
 
-class InstrumentEnum(Enum):
+class InstrumentEnum(Enum):
     PERCUSSION = 'Percussion'
     STRING = 'String'
     WOODWIND = 'Woodwind'
@@ -703,7 +724,7 @@ 
    Enum Response Schema
 
    You can also set response_mime_type to ‘application/json’, the response will be
 identical but in quotes.
    
-
    class InstrumentEnum(Enum):
+
    class InstrumentEnum(Enum):
     PERCUSSION = 'Percussion'
     STRING = 'String'
     WOODWIND = 'Woodwind'
@@ -865,7 +886,7 @@ 
    ImagenEdit image uses a separate model from generate and upscale.
    
 
    Edit image is only supported in Vertex AI.
    
 
    # Edit the generated image from above
-from google.genai.types import RawReferenceImage, MaskReferenceImage
+from google.genai.types import RawReferenceImage, MaskReferenceImage
 
 raw_ref_image = RawReferenceImage(
     reference_id=1,
@@ -943,17 +964,24 @@ 
    Files
 
    
 
    
 
    Upload
    
-
    file1 = client.files.upload(path='2312.11805v3.pdf')
-file2 = client.files.upload(path='2403.05530.pdf')
+
    file1 = client.files.upload(file='2312.11805v3.pdf')
+file2 = client.files.upload(file='2403.05530.pdf')
 
 print(file1)
 print(file2)
 
    
 
    
 
    
+
    
+
    Get
    
+
    file1 = client.files.upload(file='2312.11805v3.pdf')
+file_info = client.files.get(name=file1.name)
+
    
+
    
+
    
 
    
 
    Delete
    
-
    file3 = client.files.upload(path='2312.11805v3.pdf')
+
    file3 = client.files.upload(file='2312.11805v3.pdf')
 
 client.files.delete(name=file3.name)
 
    
@@ -998,14 +1026,14 @@ 
    Create
    
 
    
 
    
-
    
-
    Get
    
+
    
+
    Get
    
 
    cached_content = client.caches.get(name=cached_content.name)
 
    
 
    
 
    
-
    
-
    Generate Content
    
+
    
+
    Generate Content
    
 
    response = client.models.generate_content(
     model='gemini-1.5-pro-002',
     contents='Summarize the pdfs',
@@ -1063,7 +1091,7 @@ 
    Get Tuning Jobprint(tuning_job)
 
    
 
    
-
    import time
+
    import time
 
 running_states = set(
     [
@@ -1164,8 +1192,8 @@ 
    List Tuning Jobs
 
    Batch Prediction
    
 
    Only supported in Vertex AI.
    
-
    
-
    Create
    
+
    
+
    Create
    
 
    # Specify model and source file only, destination and job display name will be auto-populated
 job = client.batches.create(
     model='gemini-1.5-flash-002',
@@ -1228,8 +1256,8 @@ 
    List
    
 
    
 
    
-
    
-
    Delete
    
+
    
+
    Delete
    
 
    # Delete the job resource
 delete_job = client.batches.delete(name=job.name)
 
@@ -3857,7 +3885,10 @@ 
    ReferenceGoogle Gen AI SDK
 
@@ -3895,13 +3926,14 @@ 
    ReferenceFiles
 
 
  • Caches
 
    • 
 
  • Tunings
      
@@ -3914,9 +3946,9 @@ 
      ReferenceBatch Prediction
 
 
    • Reference
      • 
diff --git a/docs/modules.html b/docs/modules.html
index 3299e517..97f2f47a 100644
--- a/docs/modules.html
+++ b/docs/modules.html
@@ -7,7 +7,7 @@
 
     
         google - Google Gen AI SDK documentation
-      
+      
     
     
     
diff --git a/docs/py-modindex.html b/docs/py-modindex.html
index e414f589..6e5b256f 100644
--- a/docs/py-modindex.html
+++ b/docs/py-modindex.html
@@ -5,7 +5,7 @@
     
 
     Python Module Index - Google Gen AI SDK documentation
-
+
     
     
     
diff --git a/docs/search.html b/docs/search.html
index af6966db..bbbe6687 100644
--- a/docs/search.html
+++ b/docs/search.html
@@ -7,7 +7,7 @@
 
     
 
-Search - Google Gen AI SDK  documentation
+Search - Google Gen AI SDK  documentation
     
     
     
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 9758bc8e..d3b9ddec 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"Async": [[1, "async"], [1, "id4"], [1, "id6"]], "Async Streaming": [[1, "async-streaming"]], "Batch Prediction": [[1, "batch-prediction"]], "Caches": [[1, "caches"]], "Chats": [[1, "chats"]], "Count Tokens and Compute Tokens": [[1, "count-tokens-and-compute-tokens"]], "Create": [[1, "create"], [1, "id8"]], "Create a client": [[1, "create-a-client"]], "Delete": [[1, "delete"], [1, "id9"]], "Embed Content": [[1, "embed-content"]], "Enum Response Schema": [[1, "enum-response-schema"]], "Files": [[1, "files"]], "Function Calling": [[1, "function-calling"]], "Generate Content": [[1, "generate-content"], [1, "id7"]], "Get": [[1, "get"]], "Get Tuned Model": [[1, "get-tuned-model"]], "Get Tuning Job": [[1, "get-tuning-job"]], "Google Gen AI SDK": [[1, null]], "How to structure contents": [[1, "how-to-structure-contents"]], "Imagen": [[1, "imagen"]], "Imports": [[1, "imports"]], "Installation": [[1, "installation"]], "JSON Response Schema": [[1, "json-response-schema"]], "List": [[1, "list"]], "List Base Models": [[1, "list-base-models"]], "List Tuned Models": [[1, "list-tuned-models"]], "List Tuning Jobs": [[1, "list-tuning-jobs"]], "Models": [[1, "models"]], "Reference": [[1, "reference"]], "Safety Settings": [[1, "safety-settings"]], "Send Message": [[1, "send-message"]], "Streaming": [[1, "streaming"], [1, "id3"], [1, "id5"]], "Submodules": [[0, null]], "System Instructions and Other Configs": [[1, "system-instructions-and-other-configs"]], "Tune": [[1, "tune"]], "Tunings": [[1, "tunings"]], "Typed Config": [[1, "typed-config"]], "Types": [[1, "types"]], "Update Tuned Model": [[1, "update-tuned-model"]], "Upload": [[1, "upload"]], "genai.batches module": [[0, "module-genai.batches"]], "genai.caches module": [[0, "module-genai.caches"]], "genai.chats module": [[0, "module-genai.chats"]], "genai.client module": [[0, "module-genai.client"]], "genai.files module": [[0, "module-genai.files"]], "genai.live module": [[0, 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