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| 1 | +package ai.koog.agents.ext.agent |
| 2 | + |
| 3 | +import ai.koog.agents.core.agent.context.AIAgentContextBase |
| 4 | +import ai.koog.agents.core.agent.entity.ToolSelectionStrategy |
| 5 | +import ai.koog.agents.core.agent.entity.createStorageKey |
| 6 | +import ai.koog.agents.core.dsl.builder.AIAgentSubgraphBuilderBase |
| 7 | +import ai.koog.agents.core.dsl.builder.AIAgentSubgraphDelegate |
| 8 | +import ai.koog.agents.core.dsl.builder.forwardTo |
| 9 | + |
| 10 | +/** |
| 11 | + * Represents the result of [subgraphWithRetry]. |
| 12 | + * |
| 13 | + * @param output The result of the subgraph operation. |
| 14 | + * @param success A boolean indicating whether the action was successful. |
| 15 | + * @param retryCount The number of retries attempted. |
| 16 | + */ |
| 17 | +public data class RetrySubgraphResult<Output>( |
| 18 | + val output: Output, |
| 19 | + val success: Boolean, |
| 20 | + val retryCount: Int, |
| 21 | +) |
| 22 | + |
| 23 | +/** |
| 24 | + * Creates a subgraph with retry mechanism, allowing a specified action subgraph to be retried multiple |
| 25 | + * times until a given condition is met or the maximum number of retries is reached. |
| 26 | + * |
| 27 | + * @param condition A function that evaluates whether the output meets the desired condition. |
| 28 | + * @param maxRetries The maximum number of allowed retries. Must be greater than 0. |
| 29 | + * @param toolSelectionStrategy The strategy used to select a tool for executing the action. |
| 30 | + * @param name The optional name of the subgraph. |
| 31 | + * @param defineAction A lambda defining the action subgraph to perform within the retry subgraph. |
| 32 | + */ |
| 33 | +public fun <Input : Any, Output> AIAgentSubgraphBuilderBase<*, *>.subgraphWithRetry( |
| 34 | + condition: suspend (Output) -> Boolean, |
| 35 | + maxRetries: Int, |
| 36 | + toolSelectionStrategy: ToolSelectionStrategy = ToolSelectionStrategy.ALL, |
| 37 | + name: String? = null, |
| 38 | + defineAction: AIAgentSubgraphBuilderBase<Input, Output>.() -> Unit, |
| 39 | +): AIAgentSubgraphDelegate<Input, RetrySubgraphResult<Output>> { |
| 40 | + require(maxRetries > 0) { "maxRetries must be greater than 0" } |
| 41 | + |
| 42 | + return subgraph(name = name) { |
| 43 | + val retriesKey = createStorageKey<Int>("${name}_retires") |
| 44 | + val initialInputKey = createStorageKey<Any>("${name}_initial_input") |
| 45 | + val initialContextKey = createStorageKey<AIAgentContextBase>("${name}_initial_context") |
| 46 | + |
| 47 | + val beforeAction by node<Input, Input> { input -> |
| 48 | + val retries = storage.get(retriesKey) ?: 0 |
| 49 | + |
| 50 | + // Store initial input on the first run |
| 51 | + if (retries == 0) { |
| 52 | + storage.set(initialInputKey, input) |
| 53 | + } else { |
| 54 | + // return the initial context |
| 55 | + this.replace(storage.getValue(initialContextKey)) |
| 56 | + } |
| 57 | + // store the initial context |
| 58 | + storage.set(initialContextKey, this.fork()) |
| 59 | + |
| 60 | + // Increment retries |
| 61 | + storage.set(retriesKey, retries + 1) |
| 62 | + |
| 63 | + input |
| 64 | + } |
| 65 | + |
| 66 | + val actionSubgraph by subgraph( |
| 67 | + name = "${name}_retryableAction", |
| 68 | + toolSelectionStrategy = toolSelectionStrategy, |
| 69 | + define = defineAction |
| 70 | + ) |
| 71 | + |
| 72 | + val decide by node<Output, RetrySubgraphResult<Output>> { output -> |
| 73 | + val retries = storage.getValue(retriesKey) |
| 74 | + val success = condition(output) |
| 75 | + |
| 76 | + RetrySubgraphResult( |
| 77 | + output = output, |
| 78 | + success = success, |
| 79 | + retryCount = retries |
| 80 | + ) |
| 81 | + } |
| 82 | + |
| 83 | + val cleanup by node<RetrySubgraphResult<Output>, RetrySubgraphResult<Output>> { result -> |
| 84 | + storage.remove(retriesKey) |
| 85 | + storage.remove(initialInputKey) |
| 86 | + storage.remove(initialContextKey) |
| 87 | + result |
| 88 | + } |
| 89 | + |
| 90 | + nodeStart then beforeAction then actionSubgraph then decide |
| 91 | + |
| 92 | + // Repeat the action with initial input when condition is not met and the number of retries does not exceed max retries. |
| 93 | + edge( |
| 94 | + decide forwardTo beforeAction |
| 95 | + onCondition { result -> !result.success && result.retryCount < maxRetries } |
| 96 | + transformed { |
| 97 | + @Suppress("UNCHECKED_CAST") |
| 98 | + storage.getValue(initialInputKey) as Input |
| 99 | + } |
| 100 | + ) |
| 101 | + |
| 102 | + // Otherwise return the last iteration result. |
| 103 | + edge( |
| 104 | + decide forwardTo cleanup |
| 105 | + onCondition { result -> result.success || result.retryCount >= maxRetries } |
| 106 | + ) |
| 107 | + |
| 108 | + cleanup then nodeFinish |
| 109 | + } |
| 110 | +} |
| 111 | + |
| 112 | +/** |
| 113 | + * Creates a subgraph that includes retry functionality based on a given condition and a maximum number of retries. |
| 114 | + * If the condition is not met after the specified retries and strict mode is enabled, an exception is thrown. |
| 115 | + * Unlike [subgraphWithRetry], this function directly returns the output value instead of a [RetrySubgraphResult]. |
| 116 | + * |
| 117 | + * @param condition A suspendable function that determines whether the condition is met, based on the output. |
| 118 | + * @param maxRetries The maximum number of retries allowed if the condition is not met. |
| 119 | + * @param toolSelectionStrategy The strategy used to select tools for this subgraph. |
| 120 | + * @param strict If true, an exception is thrown if the condition is not met after the maximum retries. |
| 121 | + * @param name An optional name for the subgraph. |
| 122 | + * @param defineAction A lambda defining the actions within the subgraph. |
| 123 | + * |
| 124 | + * Example usage: |
| 125 | + * ``` |
| 126 | + * val subgraphRetryCallLLM by subgraphWithRetrySimple( |
| 127 | + * condition = { it is Message.Tool.Call}, |
| 128 | + * maxRetries = 2, |
| 129 | + * ) { |
| 130 | + * val nodeCallLLM by nodeLLMRequest("sendInput") |
| 131 | + * nodeStart then nodeCallLLM then nodeFinish |
| 132 | + * } |
| 133 | + * val nodeExecuteTool by nodeExecuteTool("nodeExecuteTool") |
| 134 | + * edge(subgraphRetryCallLLM forwardTo nodeExecuteTool onToolCall { true }) |
| 135 | + * ``` |
| 136 | + */ |
| 137 | +public fun <Input : Any, Output> AIAgentSubgraphBuilderBase<*, *>.subgraphWithRetrySimple( |
| 138 | + condition: suspend (Output) -> Boolean, |
| 139 | + maxRetries: Int, |
| 140 | + toolSelectionStrategy: ToolSelectionStrategy = ToolSelectionStrategy.ALL, |
| 141 | + strict: Boolean = true, |
| 142 | + name: String? = null, |
| 143 | + defineAction: AIAgentSubgraphBuilderBase<Input, Output>.() -> Unit, |
| 144 | +): AIAgentSubgraphDelegate<Input, Output> { |
| 145 | + return subgraph(name = name) { |
| 146 | + val retrySubgraph by subgraphWithRetry( |
| 147 | + toolSelectionStrategy = toolSelectionStrategy, |
| 148 | + condition = condition, |
| 149 | + maxRetries = maxRetries, |
| 150 | + name = name, |
| 151 | + defineAction = defineAction |
| 152 | + ) |
| 153 | + |
| 154 | + val extractResult by node<RetrySubgraphResult<Output>, Output> { result -> |
| 155 | + if (strict && !result.success) { |
| 156 | + throw IllegalStateException("Failed to meet condition after ${result.retryCount} retries") |
| 157 | + } |
| 158 | + result.output |
| 159 | + } |
| 160 | + |
| 161 | + nodeStart then retrySubgraph then extractResult then nodeFinish |
| 162 | + } |
| 163 | +} |
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