Update RunRequest class to accept new create run parameters #360
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added parameters: - temperature - top_p - max_prompt_tokens - max_completion_tokens - truncation_strategy - response_format
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Hello @aallam ! :) A small contribution to this amazing library, thank you for creating it! I didn't updated the Cheers! |
aallam
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Jun 23, 2024
| * What sampling temperature to use, between 0 and 2. | ||
| * Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. | ||
| */ | ||
| @SerialName("temperature") val temperature: Int? = null, |
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| @SerialName("temperature") val temperature: Int? = null, | |
| @SerialName("temperature") val temperature: Double? = null, |
I believe this should be a floating number
| * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. | ||
| * So 0.1 means only the tokens comprising the top 10% probability mass are considered. | ||
| */ | ||
| @SerialName("top_p") val topP: Int? = null, |
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| @SerialName("top_p") val topP: Int? = null, | |
| @SerialName("top_p") val topP: Double? = null, |
Same here :)
| * If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. | ||
| * See `incomplete_details` for more info. | ||
| */ | ||
| @SerialName("max_prompt_tokens") val maxPromptTokens: Int? = null, |
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| @SerialName("max_prompt_tokens") val maxPromptTokens: Int? = null, | |
| @SerialName("max_prompt_tokens") val maxPromptTokens: Long? = null, |
I would suggest using Longs here
| * If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. | ||
| * See `incomplete_details` for more info. | ||
| */ | ||
| @SerialName("max_completion_tokens") val maxCompletionTokens: Int? = null, |
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| @SerialName("max_completion_tokens") val maxCompletionTokens: Int? = null, | |
| @SerialName("max_completion_tokens") val maxCompletionTokens: Long? = null, |
Same suggestion here
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| @SerialName("type") val type: String, | ||
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| /** | ||
| * The number of most recent messages from the thread when constructing the context for the run. | ||
| */ | ||
| @SerialName("last_messages") val lastMessages: Int? = null | ||
| ) |
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Maybe we can improve a little bit the API here, with something like this:
Suggested change
| @SerialName("type") val type: String, | |
| /** | |
| * The number of most recent messages from the thread when constructing the context for the run. | |
| */ | |
| @SerialName("last_messages") val lastMessages: Int? = null | |
| ) | |
| @SerialName("type") val type: TruncationStrategyType, | |
| /** | |
| * The number of most recent messages from the thread when constructing the context for the run. | |
| */ | |
| @SerialName("last_messages") val lastMessages: Int? = null | |
| ) | |
| /** | |
| * The truncation strategy to use for the thread. | |
| */ | |
| @JvmInline | |
| @Serializable | |
| public value class TruncationStrategyType(public val value: String) { | |
| public companion object { | |
| public val TruncationStrategyType: Auto = TruncationStrategyType("auto") | |
| public val TruncationStrategyType LastMessages = TruncationStrategyType("last_messages") | |
| } | |
| } |
aallam
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Describe your change
Added properties to RunRequest class to reflect new parameters introduced in Assistant run API.
See https://platform.openai.com/docs/api-reference/runs/createRun
Added parameters list:
temperaturetop_pmax_prompt_tokensmax_completion_tokenstruncation_strategyresponse_formatWhat problem is this fixing?
It allows to use the new run API parameters.