Toplu mod

 from google import genai from google.genai import types  client = genai.Client()  # A list of dictionaries, where each is a GenerateContentRequest inline_requests = [     {         'contents': [{             'parts': [{'text': 'Tell me a one-sentence joke.'}],             'role': 'user'         }]     },     {         'contents': [{             'parts': [{'text': 'Why is the sky blue?'}],             'role': 'user'         }]     } ]  inline_batch_job = client.batches.create(     model="models/gemini-2.5-flash",     src=inline_requests,     config={         'display_name': "inlined-requests-job-1",     }, )  print(f"Created batch job: {inline_batch_job.name}") 

curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:batchGenerateContent \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -X POST \ -H "Content-Type:application/json" \ -d '{     "batch": {         "display_name": "my-batch-requests",         "input_config": {             "requests": {                 "requests": [                     {                         "request": {"contents": [{"parts": [{"text": "Describe the process of photosynthesis."}]}]},                         "metadata": {                             "key": "request-1"                         }                     },                     {                         "request": {"contents": [{"parts": [{"text": "Describe the process of photosynthesis."}]}]},                         "metadata": {                             "key": "request-2"                         }                     }                 ]             }         }     } }' 

 from google import genai from google.genai import types  client = genai.Client()  # Create a sample JSONL file with open("my-batch-requests.jsonl", "w") as f:     requests = [         {"key": "request-1", "request": {"contents": [{"parts": [{"text": "Describe the process of photosynthesis."}]}]}},         {"key": "request-2", "request": {"contents": [{"parts": [{"text": "What are the main ingredients in a Margherita pizza?"}]}]}}     ]     for req in requests:         f.write(json.dumps(req) + "\n")  # Upload the file to the File API uploaded_file = client.files.upload(     file='my-batch-requests.jsonl',     config=types.UploadFileConfig(display_name='my-batch-requests', mime_type='jsonl') )  print(f"Uploaded file: {uploaded_file.name}") 

tmp_batch_input_file=batch_input.tmp echo -e '{"contents": [{"parts": [{"text": "Describe the process of photosynthesis."}]}], "generationConfig": {"temperature": 0.7}}\n{"contents": [{"parts": [{"text": "What are the main ingredients in a Margherita pizza?"}]}]}' > batch_input.tmp MIME_TYPE=$(file -b --mime-type "${tmp_batch_input_file}") NUM_BYTES=$(wc -c < "${tmp_batch_input_file}") DISPLAY_NAME=BatchInput  tmp_header_file=upload-header.tmp  # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl "https://generativelanguage.googleapis.com/upload/v1beta/files \ -D "${tmp_header_file}" \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${NUM_BYTES}" \ -H "X-Goog-Upload-Header-Content-Type: ${MIME_TYPE}" \ -H "Content-Type: application/jsonl" \ -d "{'file': {'display_name': '${DISPLAY_NAME}'}}" 2> /dev/null  upload_url=$(grep -i "x-goog-upload-url: " "${tmp_header_file}" | cut -d" " -f2 | tr -d "\r") rm "${tmp_header_file}"  # Upload the actual bytes. curl "${upload_url}" \ -H "Content-Length: ${NUM_BYTES}" \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@${tmp_batch_input_file}" 2> /dev/null > file_info.json  file_uri=$(jq ".file.uri" file_info.json) 

 # Assumes `uploaded_file` is the file object from the previous step file_batch_job = client.batches.create(     model="gemini-2.5-flash",     src=uploaded_file.name,     config={         'display_name': "file-upload-job-1",     }, )  print(f"Created batch job: {file_batch_job.name}") 

BATCH_INPUT_FILE='files/123456' # File ID curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:batchGenerateContent \ -X POST \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type:application/json" \ -d "{     'batch': {         'display_name': 'my-batch-requests',         'input_config': {             'requests': {                 'file_name': ${BATCH_INPUT_FILE}             }         }     } }" 

 # Use the name of the job you want to check # e.g., inline_batch_job.name from the previous step job_name = "YOUR_BATCH_JOB_NAME"  # (e.g. 'batches/your-batch-id') batch_job = client.batches.get(name=job_name)  completed_states = set([     'JOB_STATE_SUCCEEDED',     'JOB_STATE_FAILED',     'JOB_STATE_CANCELLED',     'JOB_STATE_EXPIRED', ])  print(f"Polling status for job: {job_name}") batch_job = client.batches.get(name=job_name) # Initial get while batch_job.state.name not in completed_states:   print(f"Current state: {batch_job.state.name}")   time.sleep(30) # Wait for 30 seconds before polling again   batch_job = client.batches.get(name=job_name)  print(f"Job finished with state: {batch_job.state.name}") if batch_job.state.name == 'JOB_STATE_FAILED':     print(f"Error: {batch_job.error}") 

import json  # Use the name of the job you want to check # e.g., inline_batch_job.name from the previous step job_name = "YOUR_BATCH_JOB_NAME" batch_job = client.batches.get(name=job_name)  if batch_job.state.name == 'JOB_STATE_SUCCEEDED':      # If batch job was created with a file     if batch_job.dest and batch_job.dest.file_name:         # Results are in a file         result_file_name = batch_job.dest.file_name         print(f"Results are in file: {result_file_name}")          print("Downloading result file content...")         file_content = client.files.download(file=result_file_name)         # Process file_content (bytes) as needed         print(file_content.decode('utf-8'))      # If batch job was created with inline request     elif batch_job.dest and batch_job.dest.inlined_responses:         # Results are inline         print("Results are inline:")         for i, inline_response in enumerate(batch_job.dest.inlined_responses):             print(f"Response {i+1}:")             if inline_response.response:                 # Accessing response, structure may vary.                 try:                     print(inline_response.response.text)                 except AttributeError:                     print(inline_response.response) # Fallback             elif inline_response.error:                 print(f"Error: {inline_response.error}")     else:         print("No results found (neither file nor inline).") else:     print(f"Job did not succeed. Final state: {batch_job.state.name}")     if batch_job.error:         print(f"Error: {batch_job.error}") 

BATCH_NAME="batches/123456" # Your batch job name  curl https://generativelanguage.googleapis.com/v1beta/$BATCH_NAME \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type:application/json" 2> /dev/null > batch_status.json  if jq -r '.done' batch_status.json | grep -q "false"; then     echo "Batch has not finished processing" fi  batch_state=$(jq -r '.metadata.state' batch_status.json) if [[ $batch_state = "JOB_STATE_SUCCEEDED" ]]; then     if [[ $(jq '.response | has("inlinedResponses")' batch_status.json) = "true" ]]; then         jq -r '.response.inlinedResponses' batch_status.json         exit     fi     responses_file_name=$(jq -r '.response.responsesFile' batch_status.json)     curl https://generativelanguage.googleapis.com/download/v1beta/$responses_file_name:download?alt=media \     -H "x-goog-api-key: $GEMINI_API_KEY" 2> /dev/null elif [[ $batch_state = "JOB_STATE_FAILED" ]]; then     jq '.error' batch_status.json elif [[ $batch_state == "JOB_STATE_CANCELLED" ]]; then     echo "Batch was cancelled by the user" elif [[ $batch_state == "JOB_STATE_EXPIRED" ]]; then     echo "Batch expired after 48 hours" fi 

# Cancel a batch job client.batches.cancel(name=batch_job_to_cancel.name) 

BATCH_NAME="batches/123456" # Your batch job name  # Cancel the batch curl https://generativelanguage.googleapis.com/v1beta/$BATCH_NAME:cancel \ -H "x-goog-api-key: $GEMINI_API_KEY" \  # Confirm that the status of the batch after cancellation is JOB_STATE_CANCELLED curl https://generativelanguage.googleapis.com/v1beta/$BATCH_NAME \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type:application/json" 2> /dev/null | jq -r '.metadata.state' 

# Delete a batch job client.batches.delete(name=batch_job_to_delete.name) 

BATCH_NAME="batches/123456" # Your batch job name  # Delete the batch job curl https://generativelanguage.googleapis.com/v1beta/$BATCH_NAME:delete \ -H "x-goog-api-key: $GEMINI_API_KEY"