CombineDocsChain + VectorQAChain

src/commonMain/kotlin/com/xebia/functional/chains/Chain.kt

@@ -1,8 +1,10 @@
 package com.xebia.functional.chains
 
 import arrow.core.Either
+import arrow.core.raise.Raise
 import arrow.core.raise.either
 import arrow.core.raise.ensure
+import arrow.core.raise.ensureNotNull
 
 interface Chain {
 
@@ -68,3 +70,10 @@ interface Chain {
             ChainOutput.OnlyOutput -> outputs
         }
 }
+
+fun Raise<Chain.InvalidInputs>.validateInput(inputs: Map<String, String>, inputKey: String): String =
+    ensureNotNull(inputs[inputKey]) {
+        Chain.InvalidInputs("The provided inputs: " +
+                inputs.keys.joinToString(", ") { "{$it}" } +
+                " do not match with chain's input: {$inputKey}")
+    }

src/commonMain/kotlin/com/xebia/functional/chains/CombineDocsChain.kt

@@ -0,0 +1,43 @@
+package com.xebia.functional.chains
+
+import arrow.core.Either
+import com.xebia.functional.Document
+import com.xebia.functional.llm.openai.OpenAIClient
+import com.xebia.functional.prompt.PromptTemplate
+
+interface CombineDocsChain : Chain {
+    suspend fun combine(documents: List<Document>): Map<String, String>
+}
+
+@Suppress("LongParameterList")
+suspend fun CombineDocsChain(
+    llm: OpenAIClient,
+    promptTemplate: PromptTemplate,
+    documents: List<Document>,
+    documentVariableName: String,
+    outputVariable: String,
+    chainOutput: Chain.ChainOutput = Chain.ChainOutput.OnlyOutput
+): CombineDocsChain = object : CombineDocsChain {
+
+    private val inputKeys: Set<String> = promptTemplate.inputKeys.toSet() - setOf(documentVariableName)
+    private val outputKeys: Set<String> = setOf("answer")
+
+    override val config: Chain.Config = Chain.Config(inputKeys, outputKeys, chainOutput)
+
+    override suspend fun combine(documents: List<Document>): Map<String, String> {
+        val mergedDocs = documents.joinToString("\n") { it.content }
+        return mapOf(documentVariableName to mergedDocs)
+    }
+
+    override suspend fun call(inputs: Map<String, String>): Either<Chain.Error, Map<String, String>> {
+        val llmChain = LLMChain(
+            llm,
+            promptTemplate,
+            outputVariable = outputVariable,
+            chainOutput = chainOutput
+        )
+
+        val totalInputs = combine(documents) + inputs
+        return llmChain.run(totalInputs)
+    }
+}

src/commonMain/kotlin/com/xebia/functional/chains/LLMChain.kt

@@ -11,15 +11,19 @@ import com.xebia.functional.prompt.PromptTemplate
 suspend fun LLMChain(
     llm: OpenAIClient,
     promptTemplate: PromptTemplate,
-    llmModel: String,
-    user: String,
-    echo: Boolean,
-    n: Int,
-    temperature: Double,
+    llmModel: String = "text-davinci-003",
+    user: String = "testing",
+    echo: Boolean = false,
+    n: Int = 1,
+    temperature: Double = 0.0,
+    outputVariable: String,
     chainOutput: Chain.ChainOutput = Chain.ChainOutput.OnlyOutput
 ): Chain = object : Chain {
 
-    override val config: Chain.Config = Chain.Config(promptTemplate.inputKeys.toSet(), setOf("answer"), chainOutput)
+    private val inputKeys: Set<String> = promptTemplate.inputKeys.toSet()
+    private val outputKeys: Set<String> = setOf(outputVariable)
+
+    override val config: Chain.Config = Chain.Config(inputKeys, outputKeys, chainOutput)
 
     override suspend fun call(inputs: Map<String, String>): Either<Chain.InvalidInputs, Map<String, String>> =
         either {

src/commonMain/kotlin/com/xebia/functional/chains/SimpleSequenceChain.kt

@@ -4,7 +4,6 @@ import arrow.core.Either
 import arrow.core.raise.Raise
 import arrow.core.raise.either
 import arrow.core.raise.ensure
-import arrow.core.raise.ensureNotNull
 import arrow.core.raise.recover
 import arrow.core.raise.zipOrAccumulate
 
@@ -66,10 +65,3 @@ private fun Raise<Chain.InvalidInputs>.validateInputKeys(inputKeys: Set<String>)
         Chain.InvalidInputs("The expected inputs are more than one: " +
                 inputKeys.joinToString(", ") { "{$it}" })
     }
-
-private fun Raise<Chain.InvalidInputs>.validateInput(inputs: Map<String, String>, inputKey: String): String =
-    ensureNotNull(inputs[inputKey]) {
-        Chain.InvalidInputs("The provided inputs: " +
-                inputs.keys.joinToString(", ") { "{$it}" } +
-                " do not match with chain's input: {$inputKey}")
-    }

src/commonMain/kotlin/com/xebia/functional/chains/VectorQAChain.kt

@@ -0,0 +1,62 @@
+package com.xebia.functional.chains
+
+import arrow.core.Either
+import arrow.core.raise.either
+import com.xebia.functional.Document
+import com.xebia.functional.llm.openai.OpenAIClient
+import com.xebia.functional.prompt.PromptTemplate
+import com.xebia.functional.vectorstores.VectorStore
+
+interface VectorQAChain : Chain {
+    suspend fun getDocs(question: String): List<Document>
+
+    data class InvalidTemplate(override val reason: String) : Chain.Error(reason)
+}
+
+@Suppress("LongParameterList")
+suspend fun VectorQAChain(
+    llm: OpenAIClient,
+    vectorStore: VectorStore,
+    numOfDocs: Int,
+    outputVariable: String,
+    chainOutput: Chain.ChainOutput = Chain.ChainOutput.OnlyOutput
+): VectorQAChain = object : VectorQAChain {
+
+    private val documentVariableName: String = "context"
+    private val inputVariable: String = "question"
+
+    override val config: Chain.Config = Chain.Config(setOf(inputVariable), setOf(outputVariable), chainOutput)
+
+
+    override suspend fun getDocs(question: String): List<Document> =
+        vectorStore.similaritySearch(question, numOfDocs)
+
+    override suspend fun call(inputs: Map<String, String>): Either<Chain.Error, Map<String, String>> =
+        either {
+            val promptTemplate = promptTemplate().bind()
+            val question = validateInput(inputs, inputVariable)
+            val documents = getDocs(question)
+            val chain = CombineDocsChain(
+                llm,
+                promptTemplate,
+                documents,
+                documentVariableName,
+                outputVariable,
+                chainOutput
+            )
+            chain.run(inputs).bind()
+        }
+
+    private fun promptTemplate(): Either<VectorQAChain.InvalidTemplate, PromptTemplate> =
+        either {
+            val template = """
+                |Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.
+                |
+                |{context}
+                |
+                |Question: {question}
+                |Helpful Answer:""".trimMargin()
+
+            PromptTemplate(template, listOf("context", "question"))
+        }.mapLeft { VectorQAChain.InvalidTemplate(it.reason) }
+}

src/commonTest/kotlin/com/xebia/functional/chains/ChainTestUtils.kt

@@ -0,0 +1,76 @@
+package com.xebia.functional.chains
+
+import com.xebia.functional.llm.openai.ChatCompletionRequest
+import com.xebia.functional.llm.openai.ChatCompletionResponse
+import com.xebia.functional.llm.openai.CompletionChoice
+import com.xebia.functional.llm.openai.CompletionRequest
+import com.xebia.functional.llm.openai.EmbeddingRequest
+import com.xebia.functional.llm.openai.EmbeddingResult
+import com.xebia.functional.llm.openai.OpenAIClient
+
+val testLLM = object : OpenAIClient {
+    override suspend fun createCompletion(request: CompletionRequest): List<CompletionChoice> =
+        when(request.prompt) {
+            "Tell me a joke." ->
+                listOf(CompletionChoice("I'm not good at jokes", 1, "foo"))
+            "My name is foo and I'm 28 years old" ->
+                listOf(CompletionChoice("Hello there! Nice to meet you foo", 1, "foo"))
+            testTemplateFormatted -> listOf(CompletionChoice("I don't know", 1, "foo"))
+            testTemplateInputsFormatted -> listOf(CompletionChoice("Two inputs, right?", 1, "foo"))
+            testQATemplateFormatted -> listOf(CompletionChoice("I don't know", 1, "foo"))
+            else -> listOf(CompletionChoice("foo", 1, "bar"))
+        }
+
+    override suspend fun createChatCompletion(request: ChatCompletionRequest): ChatCompletionResponse =
+        TODO()
+
+    override suspend fun createEmbeddings(request: EmbeddingRequest): EmbeddingResult =
+        TODO()
+}
+
+val testContext = """foo foo foo
+  |bar bar bar
+  |baz baz baz""".trimMargin()
+
+val testContextOutput = mapOf("context" to testContext)
+
+val testTemplate = """From the following context:
+    |
+    |{context}
+    |
+    |try to answer the following question: {question}""".trimMargin()
+
+val testTemplateInputs = """From the following context:
+    |
+    |{context}
+    |
+    |I want to say: My name is {name} and I'm {age} years old""".trimMargin()
+
+val testTemplateFormatted = """From the following context:
+    |
+    |foo foo foo
+    |bar bar bar
+    |baz baz baz
+    |
+    |try to answer the following question: What do you think?""".trimMargin()
+
+val testTemplateInputsFormatted = """From the following context:
+    |
+    |foo foo foo
+    |bar bar bar
+    |baz baz baz
+    |
+    |I want to say: My name is Scala and I'm 28 years old""".trimMargin()
+
+val testQATemplateFormatted = """
+    |Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.
+    |
+    |foo foo foo
+    |bar bar bar
+    |baz baz baz
+    |
+    |Question: What do you think?
+    |Helpful Answer:""".trimMargin()
+
+val testOutputIDK = mapOf("answer" to "I don't know")
+val testOutputInputs = mapOf("answer" to "Two inputs, right?")

src/commonTest/kotlin/com/xebia/functional/chains/CombineDocsChainSpec.kt

@@ -0,0 +1,53 @@
+package com.xebia.functional.chains
+
+import arrow.core.raise.either
+import com.xebia.functional.Document
+import com.xebia.functional.prompt.PromptTemplate
+import io.kotest.assertions.arrow.core.shouldBeLeft
+import io.kotest.assertions.arrow.core.shouldBeRight
+import io.kotest.core.spec.style.StringSpec
+
+class CombineDocsChainSpec : StringSpec({
+    val documentVariableName = "context"
+    val outputVariable = "answer"
+
+    "Combine should return all the documents properly combined" {
+        either {
+            val promptTemplate = PromptTemplate(testTemplate, listOf("context", "question"))
+            val docs = listOf(Document("foo foo foo"), Document("bar bar bar"), Document("baz baz baz"))
+            val chain = CombineDocsChain(testLLM, promptTemplate, docs, documentVariableName, outputVariable)
+            chain.combine(docs)
+        } shouldBeRight testContextOutput
+    }
+
+    "Run should return the proper LLMChain response with one input" {
+        either {
+            val promptTemplate = PromptTemplate(testTemplate, listOf("context", "question"))
+            val docs = listOf(Document("foo foo foo"), Document("bar bar bar"), Document("baz baz baz"))
+            val chain = CombineDocsChain(testLLM, promptTemplate, docs, documentVariableName, outputVariable)
+            chain.run("What do you think?").bind()
+        } shouldBeRight testOutputIDK
+    }
+
+    "Run should return the proper LLMChain response with more than one input" {
+        either {
+            val promptTemplate = PromptTemplate(testTemplateInputs, listOf("context", "name", "age"))
+            val docs = listOf(Document("foo foo foo"), Document("bar bar bar"), Document("baz baz baz"))
+            val chain = CombineDocsChain(
+                testLLM, promptTemplate, docs, documentVariableName, outputVariable, Chain.ChainOutput.InputAndOutput)
+            chain.run(mapOf("name" to "Scala", "age" to "28")).bind()
+        } shouldBeRight testOutputInputs + mapOf("context" to testContext, "name" to "Scala", "age" to "28")
+    }
+
+    "Run should fail with a InvalidCombineDocumentsChainError if the inputs don't match the expected" {
+        either {
+            val promptTemplate = PromptTemplate(testTemplateInputs, listOf("context", "name", "age"))
+            val docs = listOf(Document("foo foo foo"), Document("bar bar bar"), Document("baz baz baz"))
+            val chain = CombineDocsChain(
+                testLLM, promptTemplate, docs, documentVariableName, outputVariable, Chain.ChainOutput.InputAndOutput)
+            chain.run(mapOf("name" to "Scala", "city" to "Seattle")).bind()
+        } shouldBeLeft
+                Chain.InvalidInputs(
+                    "The provided inputs: {name}, {city} do not match with chain's inputs: {name}, {age}")
+    }
+})

src/commonTest/kotlin/com/xebia/functional/chains/LLMChainSpec.kt

@@ -1,7 +1,6 @@
 package com.xebia.functional.chains
 
 import arrow.core.raise.either
-import com.xebia.functional.llm.openai.*
 import com.xebia.functional.prompt.PromptTemplate
 import io.kotest.assertions.arrow.core.shouldBeLeft
 import io.kotest.assertions.arrow.core.shouldBeRight
@@ -11,8 +10,8 @@ class LLMChainSpec : StringSpec({
     "LLMChain should return a prediction with just the output" {
         val template = "Tell me {foo}."
         either {
-            val prompt = PromptTemplate(template, listOf("foo"))
-            val chain = LLMChain(llm, prompt, "davinci", "testing", false, 1, 0.0)
+            val promptTemplate = PromptTemplate(template, listOf("foo"))
+            val chain = LLMChain(testLLM, promptTemplate, outputVariable = "answer")
             chain.run("a joke").bind()
         } shouldBeRight mapOf("answer" to "I'm not good at jokes")
     }
@@ -21,7 +20,8 @@ class LLMChainSpec : StringSpec({
         val template = "Tell me {foo}."
         either {
             val prompt = PromptTemplate(template, listOf("foo"))
-            val chain = LLMChain(llm, prompt, "davinci", "testing", false, 1, 0.0, Chain.ChainOutput.InputAndOutput)
+            val chain = LLMChain(testLLM, prompt, outputVariable = "answer",
+                chainOutput = Chain.ChainOutput.InputAndOutput)
             chain.run("a joke").bind()
         } shouldBeRight mapOf("foo" to "a joke", "answer" to "I'm not good at jokes")
     }
@@ -30,7 +30,8 @@ class LLMChainSpec : StringSpec({
         val template = "My name is {name} and I'm {age} years old"
         either {
             val prompt = PromptTemplate(template, listOf("name", "age"))
-            val chain = LLMChain(llm, prompt, "davinci", "testing", false, 1, 0.0, Chain.ChainOutput.InputAndOutput)
+            val chain = LLMChain(testLLM, prompt, outputVariable = "answer",
+                chainOutput = Chain.ChainOutput.InputAndOutput)
             chain.run(mapOf("age" to "28", "name" to "foo")).bind()
         } shouldBeRight mapOf("age" to "28", "name" to "foo", "answer" to "Hello there! Nice to meet you foo")
     }
@@ -39,34 +40,21 @@ class LLMChainSpec : StringSpec({
         val template = "My name is {name} and I'm {age} years old"
         either {
             val prompt = PromptTemplate(template, listOf("name", "age"))
-            val chain = LLMChain(llm, prompt, "davinci", "testing", false, 1, 0.0)
+            val chain = LLMChain(testLLM, prompt, outputVariable = "answer",
+                chainOutput = Chain.ChainOutput.InputAndOutput)
             chain.run(mapOf("age" to "28", "brand" to "foo")).bind()
-        } shouldBeLeft Chain.InvalidInputs("The provided inputs: {age}, {brand} do not match with chain's inputs: {name}, {age}")
+        } shouldBeLeft
+                Chain.InvalidInputs(
+                    "The provided inputs: {age}, {brand} do not match with chain's inputs: {name}, {age}")
     }
 
     "LLMChain should fail when using just one input but expecting more" {
         val template = "My name is {name} and I'm {age} years old"
         either {
             val prompt = PromptTemplate(template, listOf("name", "age"))
-            val chain = LLMChain(llm, prompt, "davinci", "testing", false, 1, 0.0)
+            val chain = LLMChain(testLLM, prompt, outputVariable = "answer",
+                chainOutput = Chain.ChainOutput.InputAndOutput)
             chain.run("foo").bind()
         } shouldBeLeft Chain.InvalidInputs("The expected inputs are more than one: {name}, {age}")
     }
 })
-
-val llm = object : OpenAIClient {
-    override suspend fun createCompletion(request: CompletionRequest): List<CompletionChoice> =
-        when(request.prompt) {
-            "Tell me a joke." ->
-                listOf(CompletionChoice("I'm not good at jokes", 1, "foo"))
-            "My name is foo and I'm 28 years old" ->
-                listOf(CompletionChoice("Hello there! Nice to meet you foo", 1, "foo"))
-            else -> listOf(CompletionChoice("foo", 1, "bar"))
-        }
-
-    override suspend fun createChatCompletion(request: ChatCompletionRequest): ChatCompletionResponse {
-        TODO("Not yet implemented")
-    }
-
-    override suspend fun createEmbeddings(request: EmbeddingRequest): EmbeddingResult = TODO()
-}