feat: Log probabilities support

pkg/common/logprobs_test.go

@@ -0,0 +1,253 @@
+/*
+Copyright 2025 The llm-d-inference-sim Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+*/
+
+package common
+
+import (
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("Logprobs", func() {
+
+	Context("GenerateTextLogprobs", func() {
+		It("should generate correct text logprobs structure", func() {
+			tokens := []string{" Paris", ",", " the", " capital"}
+			logprobsCount := 2
+
+			logprobs := GenerateTextLogprobs(tokens, logprobsCount)
+
+			Expect(logprobs).NotTo(BeNil())
+			Expect(logprobs.Tokens).To(HaveLen(len(tokens)))
+			Expect(logprobs.TokenLogprobs).To(HaveLen(len(tokens)))
+			Expect(logprobs.TopLogprobs).To(HaveLen(len(tokens)))
+			Expect(logprobs.TextOffset).To(HaveLen(len(tokens)))
+
+			// Check that each top logprobs entry has the expected number of alternatives
+			for i, topLogprob := range logprobs.TopLogprobs {
+				Expect(topLogprob).To(HaveLen(logprobsCount))
+				// Check that the main token is included in the alternatives
+				Expect(topLogprob).To(HaveKey(tokens[i]))
+			}
+
+			// Check text offsets are calculated correctly (byte-based)
+			expectedOffsets := []int{0, 6, 7, 11} // " Paris" - 6, "," - 1, " the" -4, " capital" - 11
+			for i, expected := range expectedOffsets {
+				Expect(logprobs.TextOffset[i]).To(Equal(expected))
+			}
+
+			// Check deterministic logprobs
+			expectedLogprob0 := -1.0 // defaultLogprob - float64(0%3)*0.1
+			Expect(logprobs.TokenLogprobs[0]).To(Equal(expectedLogprob0))
+		})
+	})
+
+	Context("GenerateChatLogprobs", func() {
+		It("should generate correct chat logprobs structure", func() {
+			tokens := []string{"4"}
+			topLogprobsCount := 3
+
+			logprobs := GenerateChatLogprobs(tokens, topLogprobsCount)
+
+			Expect(logprobs).NotTo(BeNil())
+			Expect(logprobs.Content).To(HaveLen(len(tokens)))
+
+			content := logprobs.Content[0]
+			Expect(content.Token).To(Equal(tokens[0]))
+			Expect(content.Bytes).To(HaveLen(len(tokens[0])))
+			Expect(content.TopLogprobs).To(HaveLen(topLogprobsCount))
+
+			// Check that the main token is the first in top logprobs
+			Expect(content.TopLogprobs[0].Token).To(Equal(tokens[0]))
+
+			// Check alternative tokens follow the pattern
+			expectedAlt1 := "4_1"
+			Expect(content.TopLogprobs[1].Token).To(Equal(expectedAlt1))
+
+			// Check byte conversion
+			expectedBytes := []int{52} // byte value of '4'
+			for i, expected := range expectedBytes {
+				Expect(content.Bytes[i]).To(Equal(expected))
+			}
+
+			// Check deterministic logprobs
+			expectedLogprob := -1.0 // defaultLogprob - float64(0%3)*0.1
+			Expect(content.Logprob).To(Equal(expectedLogprob))
+		})
+	})
+
+	Context("calculateLogprob", func() {
+		It("should calculate main token probabilities correctly", func() {
+			// Test position cycle behavior (cycle of 3)
+			// Position 0: -1.0 - (0 % 3) * 0.1 = -1.0
+			result0 := calculateLogprob(0, 0)
+			Expect(result0).To(Equal(-1.0))
+
+			// Position 1: -1.0 - (1 % 3) * 0.1 = -1.1
+			result1 := calculateLogprob(1, 0)
+			Expect(result1).To(Equal(-1.1))
+
+			// Position 2: -1.0 - (2 % 3) * 0.1 = -1.2
+			result2 := calculateLogprob(2, 0)
+			Expect(result2).To(Equal(-1.2))
+
+			// Position 3: -1.0 - (3 % 3) * 0.1 = -1.0 (cycle repeats)
+			result3 := calculateLogprob(3, 0)
+			Expect(result3).To(Equal(-1.0))
+
+			// Position 4: -1.0 - (4 % 3) * 0.1 = -1.1 (cycle repeats)
+			result4 := calculateLogprob(4, 0)
+			Expect(result4).To(Equal(-1.1))
+		})
+
+		It("should calculate alternative token probabilities correctly", func() {
+			// Test alternative token decrements (0.5 per alternative index)
+			tokenPosition := 0 // Start with position 0 (main logprob = -1.0)
+
+			// Alternative 1: -1.0 - 1 * 0.5 = -1.5
+			alt1 := calculateLogprob(tokenPosition, 1)
+			Expect(alt1).To(Equal(-1.5))
+
+			// Alternative 2: -1.0 - 2 * 0.5 = -2.0
+			alt2 := calculateLogprob(tokenPosition, 2)
+			Expect(alt2).To(Equal(-2.0))
+
+			// Alternative 3: -1.0 - 3 * 0.5 = -2.5
+			alt3 := calculateLogprob(tokenPosition, 3)
+			Expect(alt3).To(Equal(-2.5))
+		})
+
+		It("should combine position cycle and alternative index correctly", func() {
+			// Test with position 1 (main logprob = -1.1)
+			tokenPosition := 1
+
+			// Main token: -1.0 - (1 % 3) * 0.1 = -1.1
+			main := calculateLogprob(tokenPosition, 0)
+			Expect(main).To(Equal(-1.1))
+
+			// Alternative 1: -1.1 - 1 * 0.5 = -1.6
+			alt1 := calculateLogprob(tokenPosition, 1)
+			Expect(alt1).To(Equal(-1.6))
+
+			// Alternative 2: -1.1 - 2 * 0.5 = -2.1
+			alt2 := calculateLogprob(tokenPosition, 2)
+			Expect(alt2).To(Equal(-2.1))
+		})
+
+		It("should handle large position values correctly", func() {
+			// Test with large position values to ensure cycle works
+			largePosition := 100
+
+			// Position 100: -1.0 - (100 % 3) * 0.1 = -1.0 - 1 * 0.1 = -1.1
+			result := calculateLogprob(largePosition, 0)
+			Expect(result).To(Equal(-1.1))
+
+			// With alternative: -1.1 - 1 * 0.5 = -1.6
+			resultAlt := calculateLogprob(largePosition, 1)
+			Expect(resultAlt).To(Equal(-1.6))
+		})
+
+		It("should handle edge cases correctly", func() {
+			// Test with zero values
+			result := calculateLogprob(0, 0)
+			Expect(result).To(Equal(-1.0))
+
+			// Test with large alternative index
+			largeAlt := calculateLogprob(0, 10)
+			expectedLargeAlt := -1.0 - float64(10)*0.5 // -6.0
+			Expect(largeAlt).To(Equal(expectedLargeAlt))
+		})
+	})
+
+	Context("Other scenarios", func() {
+		It("should handle empty tokens for text logprobs", func() {
+			logprobs := GenerateTextLogprobs([]string{}, 2)
+
+			Expect(logprobs).NotTo(BeNil())
+			Expect(logprobs.Tokens).To(BeEmpty())
+		})
+
+		It("should handle empty tokens for chat logprobs", func() {
+			logprobs := GenerateChatLogprobs([]string{}, 2)
+
+			Expect(logprobs).NotTo(BeNil())
+			Expect(logprobs.Content).To(BeEmpty())
+		})
+
+		It("should verify probability pattern as token position grows", func() {
+			// Test the cycling pattern of probabilities
+
+			// Test first cycle (positions 0-2)
+			prob0 := calculateLogprob(0, 0)
+			prob1 := calculateLogprob(1, 0)
+			prob2 := calculateLogprob(2, 0)
+
+			Expect(prob0).To(Equal(-1.0)) // defaultLogprob
+			Expect(prob1).To(Equal(-1.1)) // defaultLogprob - 1*0.1
+			Expect(prob2).To(Equal(-1.2)) // defaultLogprob - 2*0.1
+
+			// Test second cycle (positions 3-5) - should repeat the pattern
+			prob3 := calculateLogprob(3, 0)
+			prob4 := calculateLogprob(4, 0)
+			prob5 := calculateLogprob(5, 0)
+
+			Expect(prob3).To(Equal(prob0)) // Should equal position 0
+			Expect(prob4).To(Equal(prob1)) // Should equal position 1
+			Expect(prob5).To(Equal(prob2)) // Should equal position 2
+
+			// Test third cycle (positions 6-8) - should repeat again
+			prob6 := calculateLogprob(6, 0)
+			prob7 := calculateLogprob(7, 0)
+			prob8 := calculateLogprob(8, 0)
+
+			Expect(prob6).To(Equal(prob0)) // Should equal position 0
+			Expect(prob7).To(Equal(prob1)) // Should equal position 1
+			Expect(prob8).To(Equal(prob2)) // Should equal position 2
+
+			// Verify the cycling pattern continues for larger positions
+			for i := 0; i < 20; i++ {
+				expectedProb := defaultLogprob - float64(i%positionCycle)*positionDecrement
+				actualProb := calculateLogprob(i, 0)
+				Expect(actualProb).To(Equal(expectedProb), "Position %d should have probability %f", i, expectedProb)
+			}
+		})
+	})
+
+	Context("No Limits", func() {
+		It("should allow unlimited logprobs count", func() {
+			tokens := []string{"test"}
+
+			// Test text completion (no clamping)
+			textLogprobs := GenerateTextLogprobs(tokens, 10)
+			Expect(textLogprobs.TopLogprobs[0]).To(HaveLen(10))
+
+			// Test chat completion (no clamping)
+			chatLogprobs := GenerateChatLogprobs(tokens, 25)
+			Expect(chatLogprobs.Content[0].TopLogprobs).To(HaveLen(25))
+
+			// Test high count
+			textLogprobs = GenerateTextLogprobs(tokens, 100)
+			Expect(textLogprobs.TopLogprobs[0]).To(HaveLen(100))
+
+			chatLogprobs = GenerateChatLogprobs(tokens, 50)
+			Expect(chatLogprobs.Content[0].TopLogprobs).To(HaveLen(50))
+
+			// Test minimum (at least 1)
+			textLogprobs = GenerateTextLogprobs(tokens, 0)
+			Expect(textLogprobs.TopLogprobs[0]).To(HaveLen(1))
+		})
+	})
+})

pkg/common/logprobs_types.go

@@ -0,0 +1,47 @@
+/*
+Copyright 2025 The llm-d-inference-sim Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+*/
+
+package common
+
+// LogprobsContent represents logprobs for a single token in chat completions
+type LogprobsContent struct {
+	// Token is the token string
+	Token string `json:"token"`
+	// Logprob is the log probability of the token
+	Logprob float64 `json:"logprob"`
+	// Bytes is the byte representation of the token
+	Bytes []int `json:"bytes"`
+	// TopLogprobs is the list of top alternative tokens along their log probabilities
+	TopLogprobs []LogprobsContent `json:"top_logprobs,omitempty"`
+}
+
+// ChatLogprobs represents logprobs for chat completion responses
+type ChatLogprobs struct {
+	// Content is an array of logprobs for each token in the content
+	Content []LogprobsContent `json:"content"`
+}
+
+// TextLogprobs represents logprobs for text completion responses
+type TextLogprobs struct {
+	// Tokens is an array of tokens
+	Tokens []string `json:"tokens"`
+	// TokenLogprobs is an array of log probabilities for each token
+	TokenLogprobs []float64 `json:"token_logprobs"`
+	// TopLogprobs is an array of objects containing the top alternative tokens
+	TopLogprobs []map[string]float64 `json:"top_logprobs"`
+	// TextOffset is an array of character offsets
+	TextOffset []int `json:"text_offset"`
+}