feat: add grammar and functions call support

api/config.go

@@ -46,12 +46,16 @@ type Config struct {
 	PromptCacheAll  bool   `yaml:"prompt_cache_all"`
 	PromptCacheRO   bool   `yaml:"prompt_cache_ro"`
 
+	Grammar string `yaml:"grammar"`
+
 	PromptStrings, InputStrings                []string
 	InputToken                                 [][]int
+	functionCallString, functionCallNameString string
 }
 
 type TemplateConfig struct {
 	Completion string `yaml:"completion"`
+	Functions  string `yaml:"function"`
 	Chat       string `yaml:"chat"`
 	Edit       string `yaml:"edit"`
 }
@@ -181,6 +185,10 @@ func updateConfig(config *Config, input *OpenAIRequest) {
 		config.TopP = input.TopP
 	}
 
+	if input.Grammar != "" {
+		config.Grammar = input.Grammar
+	}
+
 	if input.Temperature != 0 {
 		config.Temperature = input.Temperature
 	}
@@ -262,6 +270,24 @@ func updateConfig(config *Config, input *OpenAIRequest) {
 		}
 	}
 
+	// Can be either a string or an object
+	switch fnc := input.FunctionCall.(type) {
+	case string:
+		if fnc != "" {
+			config.functionCallString = fnc
+		}
+	case map[string]interface{}:
+		var name string
+		n, exists := fnc["name"]
+		if exists {
+			nn, e := n.(string)
+			if !e {
+				name = nn
+			}
+		}
+		config.functionCallNameString = name
+	}
+
 	switch p := input.Prompt.(type) {
 	case string:
 		config.PromptStrings = append(config.PromptStrings, p)

api/openai.go

@@ -17,6 +17,7 @@ import (
 	"strings"
 
 	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
+	"github.com/go-skynet/LocalAI/pkg/grammar"
 	model "github.com/go-skynet/LocalAI/pkg/model"
 	whisperutil "github.com/go-skynet/LocalAI/pkg/whisper"
 	llama "github.com/go-skynet/go-llama.cpp"
@@ -73,8 +74,12 @@ type Choice struct {
 }
 
 type Message struct {
+	// The message role
 	Role string `json:"role,omitempty" yaml:"role"`
+	// The message content
 	Content string `json:"content,omitempty" yaml:"content"`
+	// A result of a function call
+	FunctionCall interface{} `json:"function_call,omitempty" yaml:"function_call,omitempty"`
 }
 
 type OpenAIModel struct {
@@ -104,6 +109,10 @@ type OpenAIRequest struct {
 	// Messages is read only by chat/completion API calls
 	Messages []Message `json:"messages" yaml:"messages"`
 
+	// A list of available functions to call
+	Functions    []grammar.Function `json:"functions" yaml:"functions"`
+	FunctionCall interface{}        `json:"function_call" yaml:"function_call"` // might be a string or an object
+
 	Stream bool `json:"stream"`
 	Echo   bool `json:"echo"`
 	// Common options between all the API calls
@@ -134,6 +143,9 @@ type OpenAIRequest struct {
 	Mode int `json:"mode"`
 	Step int `json:"step"`
 
+	// A grammar to constrain the LLM output
+	Grammar string `json:"grammar" yaml:"grammar"`
+
 	TypicalP float64 `json:"typical_p" yaml:"typical_p"`
 }
 
@@ -345,6 +357,23 @@ func embeddingsEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 }
 
 func chatEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
+	// TODO: replace this with config settings
+	// Allow the user to set custom actions via config file
+	// to be "embedded" in each model
+	const noActionName = "answer"
+	const noActionDescription = "use this action to answer without performing any action"
+
+	noActionGrammar := grammar.Function{
+		Name:        noActionName,
+		Description: noActionDescription,
+		Parameters: map[string]interface{}{
+			"properties": map[string]interface{}{
+				"message": map[string]interface{}{
+					"type":        "string",
+					"description": "The message to reply the user with",
+				}},
+		},
+	}
 
 	process := func(s string, req *OpenAIRequest, config *Config, loader *model.ModelLoader, responses chan OpenAIResponse) {
 		initialMessage := OpenAIResponse{
@@ -368,6 +397,8 @@ func chatEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 		close(responses)
 	}
 	return func(c *fiber.Ctx) error {
+		processFunctions := false
+		funcs := []grammar.Function{}
 		model, input, err := readInput(c, o.loader, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
@@ -377,8 +408,33 @@ func chatEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
+		log.Debug().Msgf("Configuration read: %+v", config)
 
-		log.Debug().Msgf("Parameter Config: %+v", config)
+		// process functions if we have any defined or if we have a function call string
+		if len(input.Functions) > 0 &&
+			((config.functionCallString != "none" || config.functionCallString == "") || len(config.functionCallNameString) > 0) {
+			log.Debug().Msgf("Response needs to process functions")
+
+			var funcs grammar.Functions = input.Functions
+			processFunctions = true
+
+			// Force picking one of the functions by the request
+			if config.functionCallNameString != "" {
+				funcs = funcs.Select(config.functionCallNameString)
+			}
+
+			// Append the no action function
+			funcs = append(funcs, noActionGrammar)
+
+			// Update input grammar
+			jsStruct := funcs.ToJSONStructure()
+			config.Grammar = jsStruct.Grammar("")
+		}
+
+		// functions are not supported in stream mode (yet?)
+		toStream := input.Stream && !processFunctions
+
+		log.Debug().Msgf("Parameters: %+v", config)
 
 		var predInput string
 
@@ -397,7 +453,7 @@ func chatEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 
 		predInput = strings.Join(mess, "\n")
 
-		if input.Stream {
+		if toStream {
 			log.Debug().Msgf("Stream request received")
 			c.Context().SetContentType("text/event-stream")
 			//c.Response().Header.SetContentType(fiber.MIMETextHTMLCharsetUTF8)
@@ -409,20 +465,35 @@ func chatEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 
 		templateFile := config.Model
 
-		if config.TemplateConfig.Chat != "" {
+		if config.TemplateConfig.Chat != "" && !processFunctions {
 			templateFile = config.TemplateConfig.Chat
 		}
 
+		if config.TemplateConfig.Functions != "" && processFunctions {
+			templateFile = config.TemplateConfig.Functions
+		}
+
 		// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
 		templatedInput, err := o.loader.TemplatePrefix(templateFile, struct {
 			Input     string
-		}{Input: predInput})
+			Functions []grammar.Function
+		}{
+			Input:     predInput,
+			Functions: funcs,
+		})
 		if err == nil {
 			predInput = templatedInput
 			log.Debug().Msgf("Template found, input modified to: %s", predInput)
+		} else {
+			log.Debug().Msgf("Template failed loading: %s", err.Error())
 		}
 
-		if input.Stream {
+		log.Debug().Msgf("Prompt: %s", predInput)
+		if processFunctions {
+			log.Debug().Msgf("Grammar: %+v", config.Grammar)
+		}
+
+		if toStream {
 			responses := make(chan OpenAIResponse)
 
 			go process(predInput, input, config, o.loader, responses)
@@ -459,6 +530,71 @@ func chatEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 		}
 
 		result, err := ComputeChoices(predInput, input, config, o, o.loader, func(s string, c *[]Choice) {
+			if processFunctions {
+				// As we have to change the result before processing, we can't stream the answer (yet?)
+				ss := map[string]interface{}{}
+				json.Unmarshal([]byte(s), &ss)
+				log.Debug().Msgf("Function return: %s %+v", s, ss)
+
+				// The grammar defines the function name as "function", while OpenAI returns "name"
+				func_name := ss["function"]
+				// Similarly, while here arguments is a map[string]interface{}, OpenAI actually want a stringified object
+				args := ss["arguments"] // arguments needs to be a string, but we return an object from the grammar result (TODO: fix)
+				d, _ := json.Marshal(args)
+
+				ss["arguments"] = string(d)
+				ss["name"] = func_name
+
+				// if do nothing, reply with a message
+				if func_name == noActionName {
+					log.Debug().Msgf("nothing to do, computing a reply")
+
+					// If there is a message that the LLM already sends as part of the JSON reply, use it
+					arguments := map[string]interface{}{}
+					json.Unmarshal([]byte(d), &arguments)
+					m, exists := arguments["message"]
+					if exists {
+						switch message := m.(type) {
+						case string:
+							if message != "" {
+								log.Debug().Msgf("Reply received from LLM: %s", message)
+								message = Finetune(*config, predInput, message)
+								log.Debug().Msgf("Reply received from LLM(finetuned): %s", message)
+
+								*c = append(*c, Choice{Message: &Message{Role: "assistant", Content: message}})
+								return
+							}
+						}
+					}
+
+					log.Debug().Msgf("No action received from LLM, without a message, computing a reply")
+					// Otherwise ask the LLM to understand the JSON output and the context, and return a message
+					// Note: This costs (in term of CPU) another computation
+					config.Grammar = ""
+					predFunc, err := ModelInference(predInput, o.loader, *config, o, nil)
+					if err != nil {
+						log.Error().Msgf("inference error: %s", err.Error())
+						return
+					}
+
+					prediction, err := predFunc()
+					if err != nil {
+						log.Error().Msgf("inference error: %s", err.Error())
+						return
+					}
+
+					prediction = Finetune(*config, predInput, prediction)
+					*c = append(*c, Choice{Message: &Message{Role: "assistant", Content: prediction}})
+				} else {
+					// otherwise reply with the function call
+					*c = append(*c, Choice{
+						FinishReason: "function_call",
+						Message:      &Message{Role: "function", FunctionCall: ss},
+					})
+				}
+
+				return
+			}
 			*c = append(*c, Choice{Message: &Message{Role: "assistant", Content: s}})
 		}, nil)
 		if err != nil {

api/prediction.go

@@ -189,6 +189,8 @@ func buildLLamaPredictOptions(c Config, modelPath string) []llama.PredictOption
 		predictOptions = append(predictOptions, llama.EnablePromptCacheRO)
 	}
 
+	predictOptions = append(predictOptions, llama.WithGrammar(c.Grammar))
+
 	if c.PromptCachePath != "" {
 		// Create parent directory
 		p := filepath.Join(modelPath, c.PromptCachePath)

pkg/grammar/functions.go

@@ -0,0 +1,50 @@
+package grammar
+
+import (
+	"encoding/json"
+)
+
+type Function struct {
+	Name        string                 `json:"name"`
+	Description string                 `json:"description"`
+	Parameters  map[string]interface{} `json:"parameters"`
+}
+type Functions []Function
+
+func (f Functions) ToJSONStructure() JSONStructure {
+	js := JSONStructure{}
+	for _, function := range f {
+		//	t := function.Parameters["type"]
+		//tt := t.(string)
+
+		properties := function.Parameters["properties"]
+		dat, _ := json.Marshal(properties)
+		prop := map[string]interface{}{}
+		json.Unmarshal(dat, &prop)
+		js.OneOf = append(js.OneOf, Item{
+			Type: "object",
+			Properties: Properties{
+				Function: FunctionName{Const: function.Name},
+				Arguments: Argument{
+					Type:       "object",
+					Properties: prop,
+				},
+			},
+		})
+	}
+	return js
+}
+
+// Select returns a list of functions containing the function with the given name
+func (f Functions) Select(name string) Functions {
+	var funcs Functions
+
+	for _, f := range f {
+		if f.Name == name {
+			funcs = []Function{f}
+			break
+		}
+	}
+
+	return funcs
+}

pkg/grammar/grammar_suite_test.go

@@ -0,0 +1,13 @@
+package grammar
+
+import (
+	"testing"
+
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+func TestGrammar(t *testing.T) {
+	RegisterFailHandler(Fail)
+	RunSpecs(t, "Grammar test suite")
+}

pkg/grammar/json_schema.go

@@ -0,0 +1,222 @@
+package grammar
+
+// a golang port of https://github.com/ggerganov/llama.cpp/pull/1887
+
+import (
+	"encoding/json"
+	"fmt"
+	"regexp"
+	"sort"
+	"strings"
+)
+
+var (
+	SPACE_RULE = `" "?`
+
+	PRIMITIVE_RULES = map[string]string{
+		"boolean": `("true" | "false") space`,
+		"number":  `[0-9]+ space`,                    // TODO complete
+		"string":  `"\"" [ \t!#-\[\]-~]* "\"" space`, // TODO complete
+		"null":    `"null" space`,
+	}
+
+	INVALID_RULE_CHARS_RE     = regexp.MustCompile(`[^a-zA-Z0-9-]+`)
+	GRAMMAR_LITERAL_ESCAPE_RE = regexp.MustCompile(`[\r\n"]`)
+	GRAMMAR_LITERAL_ESCAPES   = map[string]string{
+		"\r": `\r`,
+		"\n": `\n`,
+		`"`:  `\"`,
+	}
+)
+
+type JSONSchemaConverter struct {
+	propOrder map[string]int
+	rules     map[string]string
+}
+
+func NewJSONSchemaConverter(propOrder string) *JSONSchemaConverter {
+	propOrderSlice := strings.Split(propOrder, ",")
+	propOrderMap := make(map[string]int)
+	for idx, name := range propOrderSlice {
+		propOrderMap[name] = idx
+	}
+
+	rules := make(map[string]string)
+	rules["space"] = SPACE_RULE
+
+	return &JSONSchemaConverter{
+		propOrder: propOrderMap,
+		rules:     rules,
+	}
+}
+
+func (sc *JSONSchemaConverter) formatLiteral(literal interface{}) string {
+	escaped := GRAMMAR_LITERAL_ESCAPE_RE.ReplaceAllStringFunc(jsonString(literal), func(match string) string {
+		return GRAMMAR_LITERAL_ESCAPES[match]
+	})
+	return fmt.Sprintf(`"%s"`, escaped)
+}
+
+func (sc *JSONSchemaConverter) addRule(name, rule string) string {
+	escName := INVALID_RULE_CHARS_RE.ReplaceAllString(name, "-")
+	key := escName
+	if existingRule, ok := sc.rules[escName]; ok && existingRule != rule {
+		i := 0
+		for {
+			key = fmt.Sprintf("%s%d", escName, i)
+			if _, ok := sc.rules[key]; !ok {
+				break
+			}
+			i++
+		}
+	}
+	sc.rules[key] = rule
+	return key
+}
+
+func (sc *JSONSchemaConverter) formatGrammar() string {
+	var lines []string
+	for name, rule := range sc.rules {
+		lines = append(lines, fmt.Sprintf("%s ::= %s", name, rule))
+	}
+	return strings.Join(lines, "\n")
+}
+
+func (sc *JSONSchemaConverter) visit(schema map[string]interface{}, name string) string {
+	st, existType := schema["type"]
+	var schemaType string
+	if existType {
+		schemaType = st.(string)
+	}
+	ruleName := name
+	if name == "" {
+		ruleName = "root"
+	}
+	_, oneOfExists := schema["oneOf"]
+	_, anyOfExists := schema["anyOf"]
+	if oneOfExists || anyOfExists {
+		var alternatives []string
+		oneOfSchemas, oneOfExists := schema["oneOf"].([]interface{})
+		anyOfSchemas, anyOfExists := schema["anyOf"].([]interface{})
+
+		if oneOfExists {
+			for i, altSchema := range oneOfSchemas {
+				alternative := sc.visit(altSchema.(map[string]interface{}), fmt.Sprintf("%s-%d", ruleName, i))
+				alternatives = append(alternatives, alternative)
+			}
+		} else if anyOfExists {
+			for i, altSchema := range anyOfSchemas {
+				alternative := sc.visit(altSchema.(map[string]interface{}), fmt.Sprintf("%s-%d", ruleName, i))
+				alternatives = append(alternatives, alternative)
+			}
+		}
+
+		rule := strings.Join(alternatives, " | ")
+		return sc.addRule(ruleName, rule)
+	} else if constVal, exists := schema["const"]; exists {
+		return sc.addRule(ruleName, sc.formatLiteral(constVal))
+	} else if enumVals, exists := schema["enum"].([]interface{}); exists {
+		var enumRules []string
+		for _, enumVal := range enumVals {
+			enumRule := sc.formatLiteral(enumVal)
+			enumRules = append(enumRules, enumRule)
+		}
+		rule := strings.Join(enumRules, " | ")
+		return sc.addRule(ruleName, rule)
+	} else if properties, exists := schema["properties"].(map[string]interface{}); schemaType == "object" && exists {
+		propOrder := sc.propOrder
+		var propPairs []struct {
+			propName   string
+			propSchema map[string]interface{}
+		}
+
+		for propName, propSchema := range properties {
+			propPairs = append(propPairs, struct {
+				propName   string
+				propSchema map[string]interface{}
+			}{propName: propName, propSchema: propSchema.(map[string]interface{})})
+		}
+
+		sort.Slice(propPairs, func(i, j int) bool {
+			iOrder := propOrder[propPairs[i].propName]
+			jOrder := propOrder[propPairs[j].propName]
+			if iOrder != 0 && jOrder != 0 {
+				return iOrder < jOrder
+			}
+			return propPairs[i].propName < propPairs[j].propName
+		})
+
+		var rule strings.Builder
+		rule.WriteString(`"{" space`)
+
+		for i, propPair := range propPairs {
+			propName := propPair.propName
+			propSchema := propPair.propSchema
+			propRuleName := sc.visit(propSchema, fmt.Sprintf("%s-%s", ruleName, propName))
+
+			if i > 0 {
+				rule.WriteString(` "," space`)
+			}
+
+			rule.WriteString(fmt.Sprintf(` %s space ":" space %s`, sc.formatLiteral(propName), propRuleName))
+		}
+
+		rule.WriteString(` "}" space`)
+		return sc.addRule(ruleName, rule.String())
+	} else if items, exists := schema["items"].(map[string]interface{}); schemaType == "array" && exists {
+		itemRuleName := sc.visit(items, fmt.Sprintf("%s-item", ruleName))
+		rule := fmt.Sprintf(`"[" space (%s ("," space %s)*)? "]" space`, itemRuleName, itemRuleName)
+		return sc.addRule(ruleName, rule)
+	} else {
+		primitiveRule, exists := PRIMITIVE_RULES[schemaType]
+		if !exists {
+			panic(fmt.Sprintf("Unrecognized schema: %v", schema))
+		}
+		return sc.addRule(schemaType, primitiveRule)
+	}
+}
+
+func (sc *JSONSchemaConverter) Grammar(schema map[string]interface{}) string {
+	sc.visit(schema, "")
+	return sc.formatGrammar()
+}
+
+func (sc *JSONSchemaConverter) GrammarFromBytes(b []byte) string {
+	var schema map[string]interface{}
+	_ = json.Unmarshal(b, &schema)
+	return sc.Grammar(schema)
+}
+
+func jsonString(v interface{}) string {
+	b, _ := json.Marshal(v)
+	return string(b)
+}
+
+type FunctionName struct {
+	Const string `json:"const"`
+}
+
+type Properties struct {
+	Function  FunctionName `json:"function"`
+	Arguments Argument     `json:"arguments"`
+}
+
+type Argument struct {
+	Type       string                 `json:"type"`
+	Properties map[string]interface{} `json:"properties"`
+}
+
+type Item struct {
+	Type       string     `json:"type"`
+	Properties Properties `json:"properties"`
+}
+
+type JSONStructure struct {
+	OneOf []Item `json:"oneOf,omitempty"`
+	AnyOf []Item `json:"anyOf,omitempty"`
+}
+
+func (j JSONStructure) Grammar(propOrder string) string {
+	dat, _ := json.Marshal(j)
+	return NewJSONSchemaConverter(propOrder).GrammarFromBytes(dat)
+}

pkg/grammar/json_schema_test.go

@@ -0,0 +1,113 @@
+package grammar_test
+
+import (
+	"strings"
+
+	. "github.com/go-skynet/LocalAI/pkg/grammar"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+const (
+	testInput1 = `
+	{
+		"oneOf": [
+			{
+				"type": "object",
+				"properties": {
+					"function": {"const": "create_event"},
+					"arguments": {
+						"type": "object",
+						"properties": {
+							"title": {"type": "string"},
+							"date": {"type": "string"},
+							"time": {"type": "string"}
+						}
+					}
+				}
+			},
+			{
+				"type": "object",
+				"properties": {
+					"function": {"const": "search"},
+					"arguments": {
+						"type": "object",
+						"properties": {
+							"query": {"type": "string"}
+						}
+					}
+				}
+			}
+		]
+	}`
+
+	inputResult1 = `root-0-function ::= "\"create_event\""
+root-0 ::= "{" space "\"arguments\"" space ":" space root-0-arguments "," space "\"function\"" space ":" space root-0-function "}" space
+root-1-arguments ::= "{" space "\"query\"" space ":" space string "}" space
+root ::= root-0 | root-1
+space ::= " "?
+root-0-arguments ::= "{" space "\"date\"" space ":" space string "," space "\"time\"" space ":" space string "," space "\"title\"" space ":" space string "}" space
+root-1 ::= "{" space "\"arguments\"" space ":" space root-1-arguments "," space "\"function\"" space ":" space root-1-function "}" space
+string ::= "\"" [ \t!#-\[\]-~]* "\"" space
+root-1-function ::= "\"search\""`
+)
+
+var _ = Describe("JSON schema grammar tests", func() {
+	Context("JSON", func() {
+		It("generates a valid grammar from JSON schema", func() {
+			grammar := NewJSONSchemaConverter("").GrammarFromBytes([]byte(testInput1))
+			results := strings.Split(inputResult1, "\n")
+			for _, r := range results {
+				if r != "" {
+					Expect(grammar).To(ContainSubstring(r))
+				}
+			}
+			Expect(len(results)).To(Equal(len(strings.Split(grammar, "\n"))))
+		})
+		It("generates a valid grammar from JSON Objects", func() {
+
+			structuredGrammar := JSONStructure{
+				OneOf: []Item{
+					{
+						Type: "object",
+						Properties: Properties{
+							Function: FunctionName{
+								Const: "create_event",
+							},
+							Arguments: Argument{ // this is OpenAI's parameter
+								Type: "object",
+								Properties: map[string]interface{}{
+									"title": map[string]string{"type": "string"},
+									"date":  map[string]string{"type": "string"},
+									"time":  map[string]string{"type": "string"},
+								},
+							},
+						},
+					},
+					{
+						Type: "object",
+						Properties: Properties{
+							Function: FunctionName{
+								Const: "search",
+							},
+							Arguments: Argument{
+								Type: "object",
+								Properties: map[string]interface{}{
+									"query": map[string]string{"type": "string"},
+								},
+							},
+						},
+					},
+				}}
+
+			grammar := structuredGrammar.Grammar("")
+			results := strings.Split(inputResult1, "\n")
+			for _, r := range results {
+				if r != "" {
+					Expect(grammar).To(ContainSubstring(r))
+				}
+			}
+			Expect(len(results)).To(Equal(len(strings.Split(grammar, "\n"))))
+		})
+	})
+})