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feat: Update supported cross region inferences (#756)
* Add a script to get supported cross region inferences * Use available cross region inference more accurately
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scripts/cross_region_inference/get_supported_cross_region_inferences.py
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| import json | ||
| import boto3 | ||
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| # Definition of supported base models | ||
| supported_base_models = { | ||
| "anthropic.claude-v2:1": "claude-v2", | ||
| "anthropic.claude-instant-v1": "claude-instant-v1", | ||
| "anthropic.claude-3-sonnet-20240229-v1:0": "claude-v3-sonnet", | ||
| "anthropic.claude-3-haiku-20240307-v1:0": "claude-v3-haiku", | ||
| "anthropic.claude-3-opus-20240229-v1:0": "claude-v3-opus", | ||
| "anthropic.claude-3-5-sonnet-20240620-v1:0": "claude-v3.5-sonnet", | ||
| "anthropic.claude-3-5-sonnet-20241022-v2:0": "claude-v3.5-sonnet-v2", | ||
| "anthropic.claude-3-7-sonnet-20250219-v1:0": "claude-v3.7-sonnet", | ||
| "anthropic.claude-3-5-haiku-20241022-v1:0": "claude-v3.5-haiku", | ||
| "mistral.mistral-7b-instruct-v0:2": "mistral-7b-instruct", | ||
| "mistral.mixtral-8x7b-instruct-v0:1": "mixtral-8x7b-instruct", | ||
| "mistral.mistral-large-2402-v1:0": "mistral-large", | ||
| "amazon.nova-pro-v1:0": "amazon-nova-pro", | ||
| "amazon.nova-lite-v1:0": "amazon-nova-lite", | ||
| "amazon.nova-micro-v1:0": "amazon-nova-micro", | ||
| } | ||
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| # Region definitions | ||
| regions = { | ||
| # US | ||
| "us-east-1": {"area": "us", "models": []}, | ||
| "us-east-2": {"area": "us", "models": []}, | ||
| "us-west-2": {"area": "us", "models": []}, | ||
| # EU | ||
| "eu-central-1": {"area": "eu", "models": []}, | ||
| "eu-west-1": {"area": "eu", "models": []}, | ||
| "eu-west-2": {"area": "eu", "models": []}, | ||
| "eu-west-3": {"area": "eu", "models": []}, | ||
| "eu-north-1": {"area": "eu", "models": []}, | ||
| # APAC | ||
| "ap-south-1": {"area": "apac", "models": []}, | ||
| "ap-northeast-1": {"area": "apac", "models": []}, | ||
| "ap-northeast-2": {"area": "apac", "models": []}, | ||
| "ap-northeast-3": {"area": "apac", "models": []}, | ||
| "ap-southeast-1": {"area": "apac", "models": []}, | ||
| "ap-southeast-2": {"area": "apac", "models": []}, | ||
| } | ||
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| def split_inference_profiles_id(inference_profile_id): | ||
| """Split inference_profile_id into area and model""" | ||
| parts = inference_profile_id.split(".") | ||
| area = parts[0] | ||
| model = ".".join(parts[1:]) | ||
| return area, model | ||
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| def list_inference_profiles_for_region(region): | ||
| """Get inference profiles for the specified region""" | ||
| session = boto3.Session() | ||
| client = session.client("bedrock", region_name=region) | ||
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| try: | ||
| # API call equivalent to ListInferenceProfilesCommand | ||
| response = client.list_inference_profiles( | ||
| typeEquals="SYSTEM_DEFINED", maxResults=1000 | ||
| ) | ||
| return response.get("inferenceProfileSummaries", []) | ||
| except Exception as e: | ||
| print(f"Error in region {region}: {e}") | ||
| return [] | ||
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| def main(): | ||
| """Main function""" | ||
| for region in regions.keys(): | ||
| # Call ListInferenceProfilesCommand API in the region | ||
| profiles = list_inference_profiles_for_region(region) | ||
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| for profile in profiles: | ||
| if profile.get("status") == "ACTIVE": | ||
| profileModelId = profile.get("inferenceProfileId", []) | ||
| # Split inference profile | ||
| # For example "us.amazon.nova-pro-v1:0" to ["us", "amazon.nova-pro-v1:0"] | ||
| area, modelId = split_inference_profiles_id(profileModelId) | ||
| if modelId in supported_base_models and area == regions[region]["area"]: | ||
| model = supported_base_models[modelId] | ||
| # Append only matched model ids | ||
| regions[region]["models"].append(model) | ||
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| # Sort models | ||
| regions[region]["models"].sort() | ||
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| print(json.dumps(regions, indent=4)) | ||
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| if __name__ == "__main__": | ||
| main() |