Interface InferenceConfiguration.Builder
- All Superinterfaces:
Buildable,CopyableBuilder<InferenceConfiguration.Builder,,InferenceConfiguration> SdkBuilder<InferenceConfiguration.Builder,,InferenceConfiguration> SdkPojo
- Enclosing class:
InferenceConfiguration
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Method Summary
Modifier and TypeMethodDescriptionThe maximum number of tokens to allow in the generated response.stopSequences(String... stopSequences) A list of stop sequences.stopSequences(Collection<String> stopSequences) A list of stop sequences.temperature(Float temperature) The likelihood of the model selecting higher-probability options while generating a response.The percentage of most-likely candidates that the model considers for the next token.Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copyMethods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, buildMethods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFields
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Method Details
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maxTokens
The maximum number of tokens to allow in the generated response. The default value is the maximum allowed value for the model that you are using. For more information, see Inference parameters for foundatio{ "messages": [ { "role": "user", "content": [ { "text": "what's the weather in Queens, NY and Austin, TX?" } ] }, { "role": "assistant", "content": [ { "toolUse": { "toolUseId": "1", "name": "get_weather", "input": { "city": "Queens", "state": "NY" } } }, { "toolUse": { "toolUseId": "2", "name": "get_weather", "input": { "city": "Austin", "state": "TX" } } } ] }, { "role": "user", "content": [ { "toolResult": { "toolUseId": "2", "content": [ { "json": { "weather": "40" } } ] } }, { "text": "..." }, { "toolResult": { "toolUseId": "1", "content": [ { "text": "result text" } ] } } ] } ], "toolConfig": { "tools": [ { "name": "get_weather", "description": "Get weather", "inputSchema": { "type": "object", "properties": { "city": { "type": "string", "description": "City of location" }, "state": { "type": "string", "description": "State of location" } }, "required": ["city", "state"] } } ] } } n models.
- Parameters:
maxTokens- The maximum number of tokens to allow in the generated response. The default value is the maximum allowed value for the model that you are using. For more information, see Inference parameters for foundatio{ "messages": [ { "role": "user", "content": [ { "text": "what's the weather in Queens, NY and Austin, TX?" } ] }, { "role": "assistant", "content": [ { "toolUse": { "toolUseId": "1", "name": "get_weather", "input": { "city": "Queens", "state": "NY" } } }, { "toolUse": { "toolUseId": "2", "name": "get_weather", "input": { "city": "Austin", "state": "TX" } } } ] }, { "role": "user", "content": [ { "toolResult": { "toolUseId": "2", "content": [ { "json": { "weather": "40" } } ] } }, { "text": "..." }, { "toolResult": { "toolUseId": "1", "content": [ { "text": "result text" } ] } } ] } ], "toolConfig": { "tools": [ { "name": "get_weather", "description": "Get weather", "inputSchema": { "type": "object", "properties": { "city": { "type": "string", "description": "City of location" }, "state": { "type": "string", "description": "State of location" } }, "required": ["city", "state"] } } ] } } n models.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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temperature
The likelihood of the model selecting higher-probability options while generating a response. A lower value makes the model more likely to choose higher-probability options, while a higher value makes the model more likely to choose lower-probability options.
The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.
- Parameters:
temperature- The likelihood of the model selecting higher-probability options while generating a response. A lower value makes the model more likely to choose higher-probability options, while a higher value makes the model more likely to choose lower-probability options.The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.
- Returns:
- Returns a reference to this object so that method calls can be chained together.
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topP
The percentage of most-likely candidates that the model considers for the next token. For example, if you choose a value of 0.8 for
topP, the model selects from the top 80% of the probability distribution of tokens that could be next in the sequence.The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.
- Parameters:
topP- The percentage of most-likely candidates that the model considers for the next token. For example, if you choose a value of 0.8 fortopP, the model selects from the top 80% of the probability distribution of tokens that could be next in the sequence.The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.
- Returns:
- Returns a reference to this object so that method calls can be chained together.
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stopSequences
A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.
- Parameters:
stopSequences- A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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stopSequences
A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.
- Parameters:
stopSequences- A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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