1 line
627 KiB
JSON
1 line
627 KiB
JSON
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"source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L3925"}, {"id": "models_segmentimageresponse_from_vertex", "label": "_SegmentImageResponse_from_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L3952"}, {"id": "models_segmentimagesource_to_vertex", "label": "_SegmentImageSource_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L3971"}, {"id": "models_speakervoiceconfig_to_vertex", "label": "_SpeakerVoiceConfig_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4001"}, {"id": "models_speechconfig_to_vertex", "label": "_SpeechConfig_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4022"}, {"id": "models_toolconfig_to_mldev", "label": "_ToolConfig_to_mldev()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4054"}, {"id": "models_toolconfig_to_vertex", "label": "_ToolConfig_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4086"}, {"id": "models_tool_to_mldev", "label": "_Tool_to_mldev()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4113"}, {"id": "models_tool_to_vertex", "label": "_Tool_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4186"}, {"id": "models_tunedmodelinfo_from_vertex", "label": "_TunedModelInfo_from_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4250"}, {"id": "models_updatemodelconfig_to_mldev", "label": "_UpdateModelConfig_to_mldev()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4275"}, {"id": "models_updatemodelconfig_to_vertex", "label": "_UpdateModelConfig_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4298"}, {"id": "models_updatemodelparameters_to_mldev", "label": "_UpdateModelParameters_to_mldev()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4321"}, {"id": "models_updatemodelparameters_to_vertex", "label": "_UpdateModelParameters_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4343"}, {"id": "models_upscaleimageapiconfig_to_vertex", "label": "_UpscaleImageAPIConfig_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4365"}, {"id": "models_upscaleimageapiparameters_to_vertex", "label": "_UpscaleImageAPIParameters_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4444"}, {"id": "models_upscaleimageresponse_from_vertex", "label": "_UpscaleImageResponse_from_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4480"}, {"id": "models_videogenerationmask_to_vertex", "label": "_VideoGenerationMask_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4504"}, {"id": "models_videogenerationreferenceimage_to_mldev", "label": "_VideoGenerationReferenceImage_to_mldev()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4523"}, {"id": "models_videogenerationreferenceimage_to_vertex", "label": "_VideoGenerationReferenceImage_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4545"}, {"id": "models_video_from_mldev", "label": "_Video_from_mldev()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4564"}, {"id": "models_video_from_vertex", "label": "_Video_from_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4586"}, {"id": "models_video_to_mldev", "label": "_Video_to_mldev()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4608"}, {"id": "models_video_to_vertex", "label": "_Video_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4630"}, {"id": "models_voiceconfig_to_vertex", "label": "_VoiceConfig_to_vertex()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4652"}, {"id": "models_models", "label": "Models", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4679"}, {"id": "models_models_generate_content", "label": "._generate_content()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4681"}, {"id": "models_models_generate_content_stream", "label": "._generate_content_stream()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4777"}, {"id": "models_models_embed_content", "label": "._embed_content()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4878"}, {"id": "models_models_generate_images", "label": "._generate_images()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4999"}, {"id": "models_models_edit_image", "label": "._edit_image()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5090"}, {"id": "models_models_upscale_image", "label": "._upscale_image()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5171"}, {"id": "models_models_recontext_image", "label": ".recontext_image()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5252"}, {"id": "models_models_segment_image", "label": ".segment_image()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5357"}, {"id": "models_models_get", "label": ".get()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5457"}, {"id": "models_models_list", "label": "._list()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5533"}, {"id": "models_models_update", "label": ".update()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5619"}, {"id": "models_models_delete", "label": ".delete()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5700"}, {"id": "models_models_count_tokens", "label": ".count_tokens()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5787"}, {"id": "models_models_compute_tokens", "label": ".compute_tokens()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5897"}, {"id": "models_models_generate_videos", "label": "._generate_videos()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5997"}, {"id": "models_asyncmodels", "label": "AsyncModels", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6846"}, {"id": "models_asyncmodels_generate_content", "label": "._generate_content()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6848"}, {"id": "models_asyncmodels_generate_content_stream", "label": "._generate_content_stream()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6944"}, {"id": "models_asyncmodels_embed_content", "label": "._embed_content()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7050"}, {"id": "models_asyncmodels_generate_images", "label": "._generate_images()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7171"}, {"id": "models_asyncmodels_edit_image", "label": "._edit_image()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7262"}, {"id": "models_asyncmodels_upscale_image", "label": "._upscale_image()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7343"}, {"id": "models_asyncmodels_recontext_image", "label": ".recontext_image()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7424"}, {"id": "models_asyncmodels_segment_image", "label": ".segment_image()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7529"}, {"id": "models_asyncmodels_get", "label": ".get()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7632"}, {"id": "models_asyncmodels_list", "label": "._list()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7710"}, {"id": "models_asyncmodels_update", "label": ".update()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7798"}, {"id": "models_asyncmodels_delete", "label": ".delete()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7879"}, {"id": "models_asyncmodels_count_tokens", "label": ".count_tokens()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7966"}, {"id": "models_asyncmodels_compute_tokens", "label": ".compute_tokens()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8076"}, {"id": "models_asyncmodels_generate_videos", "label": "._generate_videos()", "file_type": "code", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8175"}, {"id": "models_rationale_4891", "label": "Calculates embeddings for the given contents. Only text is supported. Args:", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4891"}, {"id": "models_rationale_5006", "label": "Private method for generating images.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5006"}, {"id": "models_rationale_5098", "label": "Private method for editing an image.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5098"}, {"id": "models_rationale_5179", "label": "Private method for upscaling an image.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5179"}, {"id": "models_rationale_5259", "label": "Recontextualizes an image. There is one type of recontextualization current", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5259"}, {"id": "models_rationale_5364", "label": "Segments an image, creating a mask of a specified area. Args: model (", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5364"}, {"id": "models_rationale_5794", "label": "Counts the number of tokens in the given content. Multimodal input is suppo", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5794"}, {"id": "models_rationale_5904", "label": "Given a list of contents, returns a corresponding TokensInfo containing the", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5904"}, {"id": "models_rationale_6007", "label": "Private method for generating videos.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6007"}, {"id": "models_rationale_6099", "label": "Calculates embeddings for the given contents. Args: model (str): The", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6099"}, {"id": "models_rationale_6169", "label": "Makes an API request to generate content using a model. For the `model` par", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6169"}, {"id": "models_rationale_6330", "label": "Makes an API request to generate content using a model and yields the model's re", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6330"}, {"id": "models_rationale_6524", "label": "Generates images based on a text description and configuration. Args:", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6524"}, {"id": "models_rationale_6580", "label": "Edits an image based on a text description and configuration. Args: m", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6580"}, {"id": "models_rationale_6636", "label": "Makes an API request to upscale a provided image. Args: model (str):", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6636"}, {"id": "models_rationale_6712", "label": "Generates videos based on an input (text, image, or video) and configuration.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6712"}, {"id": "models_rationale_6800", "label": "Makes an API request to list the available models. If `query_base` is set t", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L6800"}, {"id": "models_rationale_7063", "label": "Calculates embeddings for the given contents. Only text is supported. Args:", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7063"}, {"id": "models_rationale_7178", "label": "Private method for generating images asynchronously.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7178"}, {"id": "models_rationale_7270", "label": "Private method for editing an image asynchronously.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7270"}, {"id": "models_rationale_7351", "label": "Private method for upscaling an image asynchronously.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7351"}, {"id": "models_rationale_7431", "label": "Recontextualizes an image. There is one type of recontextualization current", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7431"}, {"id": "models_rationale_7536", "label": "Segments an image, creating a mask of a specified area. Args: model (", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7536"}, {"id": "models_rationale_7973", "label": "Counts the number of tokens in the given content. Multimodal input is suppo", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7973"}, {"id": "models_rationale_8083", "label": "Given a list of contents, returns a corresponding TokensInfo containing the", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8083"}, {"id": "models_rationale_8185", "label": "Private method for generating videos asynchronously.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8185"}, {"id": "models_rationale_8277", "label": "Makes an API request to generate content using a model. Some models support", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8277"}, {"id": "models_rationale_8406", "label": "Makes an API request to generate content using a model and yields the model's re", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8406"}, {"id": "models_rationale_8622", "label": "Edits an image based on a text description and configuration. Args: m", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8622"}, {"id": "models_rationale_8675", "label": "Makes an API request to list the available models. If `query_base` is set t", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8675"}, {"id": "models_rationale_8729", "label": "Generates images based on a text description and configuration. Args:", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8729"}, {"id": "models_rationale_8785", "label": "Makes an API request to upscale a provided image. Args: model (str):", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8785"}, {"id": "models_rationale_8861", "label": "Generates videos based on an input (text, image, or video) and configuration.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8861"}, {"id": "models_rationale_8951", "label": "Calculates embeddings for the given contents. Args: model (str): The", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8951"}, {"id": "models_rationale_4717", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4717"}, {"id": "models_rationale_4817", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4817"}, {"id": "models_rationale_4946", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L4946"}, {"id": "models_rationale_5037", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5037"}, {"id": "models_rationale_5123", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5123"}, {"id": "models_rationale_5204", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5204"}, {"id": "models_rationale_5311", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5311"}, {"id": "models_rationale_5411", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L5411"}, {"id": 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"L6984"}, {"id": "models_rationale_7118", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7118"}, {"id": "models_rationale_7209", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7209"}, {"id": "models_rationale_7295", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7295"}, {"id": "models_rationale_7376", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7376"}, {"id": "models_rationale_7483", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7483"}, {"id": "models_rationale_7586", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7586"}, {"id": "models_rationale_7663", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7663"}, {"id": "models_rationale_7745", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7745"}, {"id": "models_rationale_7832", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7832"}, {"id": "models_rationale_7913", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L7913"}, {"id": "models_rationale_8023", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8023"}, {"id": "models_rationale_8127", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8127"}, {"id": "models_rationale_8219", "label": "# TODO: remove the hack that pops config.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8219"}, {"id": "models_rationale_8529", "label": "# TODO: b/453739108 - make AFC logic more robust like the other 3 methods.", "file_type": "rationale", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L8529"}], "edges": [{"source": "backend_venv_lib_python3_12_site_packages_google_genai_models_py", "target": "json", "relation": "imports", "confidence": "EXTRACTED", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L18", "weight": 1.0}, {"source": "backend_venv_lib_python3_12_site_packages_google_genai_models_py", "target": "logging", "relation": "imports", "confidence": "EXTRACTED", "source_file": "backend/venv/lib/python3.12/site-packages/google/genai/models.py", "source_location": "L19", "weight": 1.0}, {"source": "backend_venv_lib_python3_12_site_packages_google_genai_models_py", "target": "typing", "relation": "imports_from", "confidence": "EXTRACTED", "source_file": 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