diff --git a/args/llm.go b/args/llm.go
index 1816094..2f5c8c6 100644
--- a/args/llm.go
+++ b/args/llm.go
@@ -4,6 +4,7 @@ import (
 	"encoding/json"
 	"errors"
 	"fmt"
+	"strconv"
 
 	teetypes "github.com/masa-finance/tee-types/types"
 )
@@ -11,21 +12,22 @@ import (
 var (
 	ErrLLMDatasetIdRequired = errors.New("dataset id is required")
 	ErrLLMPromptRequired    = errors.New("prompt is required")
-	ErrLLMMaxTokensNegative = errors.New("max tokens must be non-negative")
 )
 
 const (
-	LLMDefaultMaxTokens       = 300
-	LLMDefaultTemperature     = "0.1"
-	LLMDefaultMultipleColumns = false
-	LLMDefaultModel           = "gemini-1.5-flash-8b"
+	LLMDefaultMaxTokens       uint    = 300
+	LLMDefaultTemperature     float64 = 0.1
+	LLMDefaultMultipleColumns bool    = false
+	LLMDefaultModel           string  = "gemini-1.5-flash-8b"
+	LLMDefaultItems           uint    = 1
 )
 
 type LLMProcessorArguments struct {
-	DatasetId   string `json:"dataset_id"`
-	Prompt      string `json:"prompt"`
-	MaxTokens   int    `json:"max_tokens"`
-	Temperature string `json:"temperature"`
+	DatasetId   string  `json:"dataset_id"`
+	Prompt      string  `json:"prompt"`
+	MaxTokens   uint    `json:"max_tokens"`
+	Temperature float64 `json:"temperature"`
+	Items       uint    `json:"items"`
 }
 
 // UnmarshalJSON implements custom JSON unmarshaling with validation
@@ -48,11 +50,14 @@ func (l *LLMProcessorArguments) UnmarshalJSON(data []byte) error {
 }
 
 func (l *LLMProcessorArguments) setDefaultValues() {
+	if l.Temperature == 0 {
+		l.Temperature = LLMDefaultTemperature
+	}
 	if l.MaxTokens == 0 {
 		l.MaxTokens = LLMDefaultMaxTokens
 	}
-	if l.Temperature == "" {
-		l.Temperature = LLMDefaultTemperature
+	if l.Items == 0 {
+		l.Items = LLMDefaultItems
 	}
 }
 
@@ -63,9 +68,6 @@ func (l *LLMProcessorArguments) Validate() error {
 	if l.Prompt == "" {
 		return ErrLLMPromptRequired
 	}
-	if l.MaxTokens < 0 {
-		return fmt.Errorf("%w: got %v", ErrLLMMaxTokensNegative, l.MaxTokens)
-	}
 	return nil
 }
 
@@ -74,7 +76,7 @@ func (l LLMProcessorArguments) ToLLMProcessorRequest() teetypes.LLMProcessorRequ
 		InputDatasetId:  l.DatasetId,
 		Prompt:          l.Prompt,
 		MaxTokens:       l.MaxTokens,
-		Temperature:     l.Temperature,
+		Temperature:     strconv.FormatFloat(l.Temperature, 'f', -1, 64),
 		MultipleColumns: LLMDefaultMultipleColumns, // overrides default in actor API
 		Model:           LLMDefaultModel,           // overrides default in actor API
 	}
diff --git a/args/llm_test.go b/args/llm_test.go
index 3884ebf..aa35128 100644
--- a/args/llm_test.go
+++ b/args/llm_test.go
@@ -21,8 +21,9 @@ var _ = Describe("LLMProcessorArguments", func() {
 			Expect(err).ToNot(HaveOccurred())
 			err = json.Unmarshal([]byte(jsonData), &llmArgs)
 			Expect(err).ToNot(HaveOccurred())
-			Expect(llmArgs.MaxTokens).To(Equal(300))
-			Expect(llmArgs.Temperature).To(Equal("0.1"))
+			Expect(llmArgs.Temperature).To(Equal(0.1))
+			Expect(llmArgs.MaxTokens).To(Equal(uint(300)))
+			Expect(llmArgs.Items).To(Equal(uint(1)))
 		})
 
 		It("should override default values", func() {
@@ -30,14 +31,16 @@ var _ = Describe("LLMProcessorArguments", func() {
 				DatasetId:   "ds1",
 				Prompt:      "summarize: ${markdown}",
 				MaxTokens:   123,
-				Temperature: "0.7",
+				Temperature: 0.7,
+				Items:       3,
 			}
 			jsonData, err := json.Marshal(llmArgs)
 			Expect(err).ToNot(HaveOccurred())
 			err = json.Unmarshal([]byte(jsonData), &llmArgs)
 			Expect(err).ToNot(HaveOccurred())
-			Expect(llmArgs.MaxTokens).To(Equal(123))
-			Expect(llmArgs.Temperature).To(Equal("0.7"))
+			Expect(llmArgs.Temperature).To(Equal(0.7))
+			Expect(llmArgs.MaxTokens).To(Equal(uint(123)))
+			Expect(llmArgs.Items).To(Equal(uint(3)))
 		})
 
 		It("should fail unmarshal when dataset_id is missing", func() {
@@ -61,7 +64,8 @@ var _ = Describe("LLMProcessorArguments", func() {
 				DatasetId:   "ds1",
 				Prompt:      "p",
 				MaxTokens:   10,
-				Temperature: "0.2",
+				Temperature: 0.2,
+				Items:       1,
 			}
 			err := llmArgs.Validate()
 			Expect(err).ToNot(HaveOccurred())
@@ -71,7 +75,7 @@ var _ = Describe("LLMProcessorArguments", func() {
 			llmArgs := &args.LLMProcessorArguments{
 				Prompt:      "p",
 				MaxTokens:   10,
-				Temperature: "0.2",
+				Temperature: 0.2,
 			}
 			err := llmArgs.Validate()
 			Expect(errors.Is(err, args.ErrLLMDatasetIdRequired)).To(BeTrue())
@@ -81,53 +85,25 @@ var _ = Describe("LLMProcessorArguments", func() {
 			llmArgs := &args.LLMProcessorArguments{
 				DatasetId:   "ds1",
 				MaxTokens:   10,
-				Temperature: "0.2",
+				Temperature: 0.2,
 			}
 			err := llmArgs.Validate()
 			Expect(errors.Is(err, args.ErrLLMPromptRequired)).To(BeTrue())
 		})
-
-		It("should fail when max tokens is negative", func() {
-			llmArgs := &args.LLMProcessorArguments{
-				DatasetId:   "ds1",
-				Prompt:      "p",
-				MaxTokens:   -1,
-				Temperature: "0.2",
-			}
-			err := llmArgs.Validate()
-			Expect(errors.Is(err, args.ErrLLMMaxTokensNegative)).To(BeTrue())
-			Expect(err.Error()).To(ContainSubstring("got -1"))
-		})
 	})
 
 	Describe("ToLLMProcessorRequest", func() {
-		It("should map fields and defaults correctly", func() {
-			llmArgs := args.LLMProcessorArguments{
-				DatasetId:   "ds1",
-				Prompt:      "p",
-				MaxTokens:   0, // default applied in To*
-				Temperature: "",
-			}
-			req := llmArgs.ToLLMProcessorRequest()
-			Expect(req.InputDatasetId).To(Equal("ds1"))
-			Expect(req.Prompt).To(Equal("p"))
-			Expect(req.MaxTokens).To(Equal(0))
-			Expect(req.Temperature).To(Equal(""))
-			Expect(req.MultipleColumns).To(BeFalse())
-			Expect(req.Model).To(Equal("gemini-1.5-flash-8b"))
-		})
-
-		It("should map fields correctly when set", func() {
+		It("should map request fields to actor request fields", func() {
 			llmArgs := args.LLMProcessorArguments{
 				DatasetId:   "ds1",
 				Prompt:      "p",
 				MaxTokens:   42,
-				Temperature: "0.7",
+				Temperature: 0.7,
 			}
 			req := llmArgs.ToLLMProcessorRequest()
 			Expect(req.InputDatasetId).To(Equal("ds1"))
 			Expect(req.Prompt).To(Equal("p"))
-			Expect(req.MaxTokens).To(Equal(42))
+			Expect(req.MaxTokens).To(Equal(uint(42)))
 			Expect(req.Temperature).To(Equal("0.7"))
 			Expect(req.MultipleColumns).To(BeFalse())
 			Expect(req.Model).To(Equal("gemini-1.5-flash-8b"))
diff --git a/types/llm.go b/types/llm.go
index fb67693..ca99075 100644
--- a/types/llm.go
+++ b/types/llm.go
@@ -5,9 +5,9 @@ type LLMProcessorRequest struct {
 	LLMProviderApiKey string `json:"llmProviderApiKey"` // encrypted api key by miner
 	Model             string `json:"model"`
 	MultipleColumns   bool   `json:"multipleColumns"`
-	Prompt            string `json:"prompt"` // example: summarize the content of this webpage: ${markdown}
-	Temperature       string `json:"temperature"`
-	MaxTokens         int    `json:"maxTokens"`
+	Prompt            string `json:"prompt"`      // example: summarize the content of this webpage: ${markdown}
+	Temperature       string `json:"temperature"` // the actor expects a string
+	MaxTokens         uint   `json:"maxTokens"`
 }
 
 type LLMProcessorResult struct {