Projects Endpoints (#439)

* Project endpoints * Get Projects By Organization endpoint * New Token class * Postman collection updated
xebia-functional · Sep 19, 2023 · a50b96e · a50b96e
1 parent 3b0c91f
commit a50b96e
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diff --git a/reasoning/src/commonMain/kotlin/com/xebia/functional/xef/reasoning/tools/ReActAgent.kt b/reasoning/src/commonMain/kotlin/com/xebia/functional/xef/reasoning/tools/ReActAgent.kt
@@ -17,7 +17,7 @@ class ReActAgent(
   private val scope: Conversation,
   private val tools: List<Tool>,
   private val maxIterations: Int = 10,
-  private val configuration: PromptConfiguration = PromptConfiguration ( temperature = 0.0 )
+  private val configuration: PromptConfiguration = PromptConfiguration(temperature = 0.0)
 ) {
 
   private val logger = KotlinLogging.logger {}
@@ -42,14 +42,15 @@ class ReActAgent(
       serializer = AgentFinish.serializer(),
       prompt =
         Prompt {
-          +system("You are an expert in providing answers")
-          +chain.chainToMessages()
-          +user("Provide the final answer to the `input` in a sentence or paragraph")
-          +user("input: $input")
-          +assistant(
-            "I should create a AgentFinish object with the final answer based on the thoughts and observations"
-          )
-        }.copy(configuration = configuration)
+            +system("You are an expert in providing answers")
+            +chain.chainToMessages()
+            +user("Provide the final answer to the `input` in a sentence or paragraph")
+            +user("input: $input")
+            +assistant(
+              "I should create a AgentFinish object with the final answer based on the thoughts and observations"
+            )
+          }
+          .copy(configuration = configuration)
     )
 
   private suspend fun agentAction(input: Prompt, chain: List<ThoughtObservation>): AgentAction =
@@ -58,20 +59,21 @@ class ReActAgent(
       serializer = AgentAction.serializer(),
       prompt =
         Prompt {
-          +system(
-            "You are an expert in tool selection. You are given a `input` and a `chain` of thoughts and observations."
-          )
-          +user("input:")
-          +input
-          +assistant("chain:")
-          +chain.chainToMessages()
-          +assistant("I can only use this tools:")
-          +tools.toolsToMessages()
-          +assistant(
-            "I will not repeat the `toolInput` if the same one produced no satisfactory results in the observations"
-          )
-          +user("Provide the next tool to use and the `toolInput` for the tool")
-        }.copy(configuration = configuration)
+            +system(
+              "You are an expert in tool selection. You are given a `input` and a `chain` of thoughts and observations."
+            )
+            +user("input:")
+            +input
+            +assistant("chain:")
+            +chain.chainToMessages()
+            +assistant("I can only use this tools:")
+            +tools.toolsToMessages()
+            +assistant(
+              "I will not repeat the `toolInput` if the same one produced no satisfactory results in the observations"
+            )
+            +user("Provide the next tool to use and the `toolInput` for the tool")
+          }
+          .copy(configuration = configuration)
     )
 
   private fun List<Tool>.toolsToMessages(): List<Message> = flatMap {
@@ -90,14 +92,17 @@ class ReActAgent(
     model.prompt(
       prompt =
         Prompt {
-          +input
-          +assistant("chain:")
-          +chain.chainToMessages()
-          +assistant(
-            "`CONTINUE` if the `input` has not been answered by the observations in the `chain`"
-          )
-          +assistant("`FINISH` if the `input` has been answered by the observations in the `chain`")
-        }.copy(configuration = configuration),
+            +input
+            +assistant("chain:")
+            +chain.chainToMessages()
+            +assistant(
+              "`CONTINUE` if the `input` has not been answered by the observations in the `chain`"
+            )
+            +assistant(
+              "`FINISH` if the `input` has been answered by the observations in the `chain`"
+            )
+          }
+          .copy(configuration = configuration),
       scope = scope,
       serializer = AgentChoice.serializer()
     )
@@ -106,15 +111,18 @@ class ReActAgent(
     return model.prompt(
       prompt =
         Prompt {
-          +system("You are an expert in providing next steps to solve a problem")
-          +system("You are given a `input` provided by the user")
-          +user("input:")
-          +input
-          +assistant("I have access to tools:")
-          +tools.toolsToMessages()
-          +assistant("I should create a Thought object with the next thought based on the `input`")
-          +user("Provide the next thought based on the `input`")
-        }.copy(configuration = configuration),
+            +system("You are an expert in providing next steps to solve a problem")
+            +system("You are given a `input` provided by the user")
+            +user("input:")
+            +input
+            +assistant("I have access to tools:")
+            +tools.toolsToMessages()
+            +assistant(
+              "I should create a Thought object with the next thought based on the `input`"
+            )
+            +user("Provide the next thought based on the `input`")
+          }
+          .copy(configuration = configuration),
       scope = scope,
       serializer = Thought.serializer()
     )