package functions import ( "encoding/json" "regexp" "strings" "github.com/go-skynet/LocalAI/pkg/utils" "github.com/rs/zerolog/log" ) type GrammarConfig struct { // ParallelCalls enables the LLM to return multiple function calls in the same response ParallelCalls bool `yaml:"parallel_calls"` DisableParallelNewLines bool `yaml:"disable_parallel_new_lines"` // MixedMode enables the LLM to return strings and not only JSON objects // This is useful for models to not constraing returning only JSON and also messages back to the user MixedMode bool `yaml:"mixed_mode"` // NoMixedFreeString disables the mixed mode for free strings // In this way if the LLM selects a free string, it won't be mixed necessarly with JSON objects NoMixedFreeString bool `yaml:"no_mixed_free_string"` // NoGrammar disables the grammar parsing and parses the responses directly from the LLM NoGrammar bool `yaml:"disable"` // Prefix is the suffix to append to the grammar when being generated // This is useful when models prepend a tag before returning JSON Prefix string `yaml:"prefix"` // ExpectStringsAfterJSON enables mixed string suffix ExpectStringsAfterJSON bool `yaml:"expect_strings_after_json"` } // FunctionsConfig is the configuration for the tool/function call. // It includes setting to map the function name and arguments from the response // and, for instance, also if processing the requests with BNF grammars. type FunctionsConfig struct { // DisableNoAction disables the "no action" tool // By default we inject a tool that does nothing and is used to return an answer from the LLM DisableNoAction bool `yaml:"disable_no_action"` // Grammar is the configuration for the grammar GrammarConfig GrammarConfig `yaml:"grammar"` // NoActionFunctionName is the name of the function that does nothing. It defaults to "answer" NoActionFunctionName string `yaml:"no_action_function_name"` // NoActionDescriptionName is the name of the function that returns the description of the no action function NoActionDescriptionName string `yaml:"no_action_description_name"` // ResponseRegex is a named regex to extract the function name and arguments from the response ResponseRegex []string `yaml:"response_regex"` // JSONRegexMatch is a regex to extract the JSON object from the response JSONRegexMatch []string `yaml:"json_regex_match"` // ReplaceFunctionResults allow to replace strings in the results before parsing them ReplaceFunctionResults []ReplaceResult `yaml:"replace_function_results"` // ReplaceLLMResult allow to replace strings in the results before parsing them ReplaceLLMResult []ReplaceResult `yaml:"replace_llm_results"` // CaptureLLMResult is a regex to extract a string from the LLM response // that is used as return string when using tools. // This is useful for e.g. if the LLM outputs a reasoning and we want to get the reasoning as a string back CaptureLLMResult []string `yaml:"capture_llm_results"` // FunctionName enable the LLM to return { "name": "function_name", "arguments": { "arg1": "value1", "arg2": "value2" } } // instead of { "function": "function_name", "arguments": { "arg1": "value1", "arg2": "value2" } }. // This might be useful for certain models trained with the function name as the first token. FunctionName bool `yaml:"return_name_in_function_response"` } type ReplaceResult struct { Key string `yaml:"key"` Value string `yaml:"value"` } type FuncCallResults struct { Name string Arguments string } func (g GrammarConfig) Options() []func(o *GrammarOption) { opts := []func(o *GrammarOption){} if g.MixedMode { opts = append(opts, EnableMaybeString) } if g.ParallelCalls { opts = append(opts, EnableMaybeArray) } if g.DisableParallelNewLines { opts = append(opts, DisableParallelNewLines) } if g.Prefix != "" { opts = append(opts, SetPrefix(g.Prefix)) } if g.NoMixedFreeString { opts = append(opts, NoMixedFreeString) } if g.ExpectStringsAfterJSON { opts = append(opts, ExpectStringsAfterJSON) } return opts } func CleanupLLMResult(llmresult string, functionConfig FunctionsConfig) string { log.Debug().Msgf("LLM result: %s", llmresult) for _, item := range functionConfig.ReplaceLLMResult { k, v := item.Key, item.Value log.Debug().Msgf("Replacing %s with %s", k, v) re := regexp.MustCompile(k) llmresult = re.ReplaceAllString(llmresult, v) } log.Debug().Msgf("LLM result(processed): %s", llmresult) return llmresult } func ParseTextContent(llmresult string, functionConfig FunctionsConfig) string { log.Debug().Msgf("ParseTextContent: %s", llmresult) log.Debug().Msgf("CaptureLLMResult: %s", functionConfig.CaptureLLMResult) for _, r := range functionConfig.CaptureLLMResult { // We use a regex to extract the JSON object from the response var respRegex = regexp.MustCompile(r) match := respRegex.FindStringSubmatch(llmresult) if len(match) >= 1 { m := strings.TrimSpace(match[1]) return m } } return "" } func ParseFunctionCall(llmresult string, functionConfig FunctionsConfig) []FuncCallResults { log.Debug().Msgf("LLM result: %s", llmresult) for _, item := range functionConfig.ReplaceFunctionResults { k, v := item.Key, item.Value log.Debug().Msgf("Replacing %s with %s", k, v) re := regexp.MustCompile(k) llmresult = re.ReplaceAllString(llmresult, v) } log.Debug().Msgf("LLM result(function cleanup): %s", llmresult) functionNameKey := "function" if functionConfig.FunctionName { functionNameKey = "name" } results := []FuncCallResults{} llmResults := []string{} returnResult := func(results []string) (result []FuncCallResults, e error) { // As we have to change the result before processing, we can't stream the answer token-by-token (yet?) result = make([]FuncCallResults, 0) for _, s := range results { var ss []map[string]interface{} s = utils.EscapeNewLines(s) err := json.Unmarshal([]byte(s), &ss) if err != nil { // If the LLM result is a single object, try unmarshaling it into a single map var singleObj map[string]interface{} err = json.Unmarshal([]byte(s), &singleObj) if err != nil { log.Debug().Err(err).Str("escapedLLMResult", s).Msg("unable to unmarshal llm result in a single object or an array of JSON objects") } else { ss = []map[string]interface{}{singleObj} } } log.Debug().Msgf("Function return: %s %+v", s, ss) for _, s := range ss { // The grammar defines the function name as "function", while OpenAI returns "name" func_name, ok := s[functionNameKey] if !ok { continue //return result, fmt.Errorf("unable to find function name in result") } // Similarly, while here arguments is a map[string]interface{}, OpenAI actually want a stringified object args, ok := s["arguments"] // arguments needs to be a string, but we return an object from the grammar result (TODO: fix) if !ok { continue //return result, fmt.Errorf("unable to find arguments in result") } d, _ := json.Marshal(args) funcName, ok := func_name.(string) if !ok { continue //return result, fmt.Errorf("unable to cast function name to string") } result = append(result, FuncCallResults{Name: funcName, Arguments: string(d)}) } } return result, nil } // the response is a string that we have to parse result := make(map[string]string) if len(functionConfig.JSONRegexMatch) != 0 { for _, r := range functionConfig.JSONRegexMatch { // We use a regex to extract the JSON object from the response var respRegex = regexp.MustCompile(r) match := respRegex.FindAllStringSubmatch(llmresult, -1) var allMatches []string for _, m := range match { if len(m) > 1 { // we match the first group allMatches = append(allMatches, m[1]) } } if len(allMatches) > 0 { llmResults = append(llmResults, allMatches...) break } } } if len(functionConfig.ResponseRegex) > 0 { // We use named regexes here to extract the function name and arguments // obviously, this expects the LLM to be stable and return correctly formatted JSON // TODO: optimize this and pre-compile it for _, r := range functionConfig.ResponseRegex { var respRegex = regexp.MustCompile(r) matches := respRegex.FindAllStringSubmatch(llmresult, -1) for _, match := range matches { for i, name := range respRegex.SubexpNames() { if i != 0 && name != "" && len(match) > i { result[name] = match[i] } } functionName := result[functionNameKey] if functionName == "" { return results } results = append(results, FuncCallResults{Name: result[functionNameKey], Arguments: result["arguments"]}) } } } else { if len(llmResults) == 0 { llmResults = append(llmResults, llmresult) } results, _ = returnResult(llmResults) } return results }