mirror of
https://github.com/mudler/LocalAI.git
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5866fc8ded
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
261 lines
8.7 KiB
Go
261 lines
8.7 KiB
Go
package functions
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import (
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"encoding/json"
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"regexp"
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"strings"
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"github.com/mudler/LocalAI/pkg/utils"
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"github.com/rs/zerolog/log"
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)
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type GrammarConfig struct {
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// ParallelCalls enables the LLM to return multiple function calls in the same response
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ParallelCalls bool `yaml:"parallel_calls"`
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DisableParallelNewLines bool `yaml:"disable_parallel_new_lines"`
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// MixedMode enables the LLM to return strings and not only JSON objects
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// This is useful for models to not constraing returning only JSON and also messages back to the user
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MixedMode bool `yaml:"mixed_mode"`
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// NoMixedFreeString disables the mixed mode for free strings
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// In this way if the LLM selects a free string, it won't be mixed necessarly with JSON objects
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NoMixedFreeString bool `yaml:"no_mixed_free_string"`
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// NoGrammar disables the grammar parsing and parses the responses directly from the LLM
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NoGrammar bool `yaml:"disable"`
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// Prefix is the suffix to append to the grammar when being generated
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// This is useful when models prepend a tag before returning JSON
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Prefix string `yaml:"prefix"`
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// ExpectStringsAfterJSON enables mixed string suffix
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ExpectStringsAfterJSON bool `yaml:"expect_strings_after_json"`
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}
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// FunctionsConfig is the configuration for the tool/function call.
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// It includes setting to map the function name and arguments from the response
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// and, for instance, also if processing the requests with BNF grammars.
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type FunctionsConfig struct {
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// DisableNoAction disables the "no action" tool
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// By default we inject a tool that does nothing and is used to return an answer from the LLM
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DisableNoAction bool `yaml:"disable_no_action"`
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// Grammar is the configuration for the grammar
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GrammarConfig GrammarConfig `yaml:"grammar"`
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// NoActionFunctionName is the name of the function that does nothing. It defaults to "answer"
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NoActionFunctionName string `yaml:"no_action_function_name"`
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// NoActionDescriptionName is the name of the function that returns the description of the no action function
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NoActionDescriptionName string `yaml:"no_action_description_name"`
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// ResponseRegex is a named regex to extract the function name and arguments from the response
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ResponseRegex []string `yaml:"response_regex"`
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// JSONRegexMatch is a regex to extract the JSON object from the response
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JSONRegexMatch []string `yaml:"json_regex_match"`
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// ReplaceFunctionResults allow to replace strings in the results before parsing them
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ReplaceFunctionResults []ReplaceResult `yaml:"replace_function_results"`
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// ReplaceLLMResult allow to replace strings in the results before parsing them
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ReplaceLLMResult []ReplaceResult `yaml:"replace_llm_results"`
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// CaptureLLMResult is a regex to extract a string from the LLM response
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// that is used as return string when using tools.
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// This is useful for e.g. if the LLM outputs a reasoning and we want to get the reasoning as a string back
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CaptureLLMResult []string `yaml:"capture_llm_results"`
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// FunctionName enable the LLM to return { "name": "function_name", "arguments": { "arg1": "value1", "arg2": "value2" } }
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// instead of { "function": "function_name", "arguments": { "arg1": "value1", "arg2": "value2" } }.
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// This might be useful for certain models trained with the function name as the first token.
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FunctionName bool `yaml:"return_name_in_function_response"`
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}
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type ReplaceResult struct {
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Key string `yaml:"key"`
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Value string `yaml:"value"`
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}
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type FuncCallResults struct {
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Name string
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Arguments string
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}
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func (g GrammarConfig) Options() []func(o *GrammarOption) {
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opts := []func(o *GrammarOption){}
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if g.MixedMode {
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opts = append(opts, EnableMaybeString)
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}
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if g.ParallelCalls {
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opts = append(opts, EnableMaybeArray)
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}
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if g.DisableParallelNewLines {
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opts = append(opts, DisableParallelNewLines)
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}
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if g.Prefix != "" {
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opts = append(opts, SetPrefix(g.Prefix))
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}
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if g.NoMixedFreeString {
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opts = append(opts, NoMixedFreeString)
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}
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if g.ExpectStringsAfterJSON {
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opts = append(opts, ExpectStringsAfterJSON)
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}
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return opts
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}
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func CleanupLLMResult(llmresult string, functionConfig FunctionsConfig) string {
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log.Debug().Msgf("LLM result: %s", llmresult)
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for _, item := range functionConfig.ReplaceLLMResult {
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k, v := item.Key, item.Value
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log.Debug().Msgf("Replacing %s with %s", k, v)
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re := regexp.MustCompile(k)
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llmresult = re.ReplaceAllString(llmresult, v)
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}
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log.Debug().Msgf("LLM result(processed): %s", llmresult)
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return llmresult
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}
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func ParseTextContent(llmresult string, functionConfig FunctionsConfig) string {
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log.Debug().Msgf("ParseTextContent: %s", llmresult)
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log.Debug().Msgf("CaptureLLMResult: %s", functionConfig.CaptureLLMResult)
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for _, r := range functionConfig.CaptureLLMResult {
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// We use a regex to extract the JSON object from the response
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var respRegex = regexp.MustCompile(r)
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match := respRegex.FindStringSubmatch(llmresult)
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if len(match) >= 1 {
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m := strings.TrimSpace(match[1])
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return m
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}
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}
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return ""
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}
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func ParseFunctionCall(llmresult string, functionConfig FunctionsConfig) []FuncCallResults {
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log.Debug().Msgf("LLM result: %s", llmresult)
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for _, item := range functionConfig.ReplaceFunctionResults {
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k, v := item.Key, item.Value
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log.Debug().Msgf("Replacing %s with %s", k, v)
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re := regexp.MustCompile(k)
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llmresult = re.ReplaceAllString(llmresult, v)
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}
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log.Debug().Msgf("LLM result(function cleanup): %s", llmresult)
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functionNameKey := "function"
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if functionConfig.FunctionName {
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functionNameKey = "name"
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}
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results := []FuncCallResults{}
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llmResults := []string{}
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returnResult := func(results []string) (result []FuncCallResults, e error) {
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// As we have to change the result before processing, we can't stream the answer token-by-token (yet?)
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result = make([]FuncCallResults, 0)
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for _, s := range results {
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var ss []map[string]interface{}
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s = utils.EscapeNewLines(s)
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err := json.Unmarshal([]byte(s), &ss)
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if err != nil {
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// If the LLM result is a single object, try unmarshaling it into a single map
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var singleObj map[string]interface{}
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err = json.Unmarshal([]byte(s), &singleObj)
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if err != nil {
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log.Debug().Err(err).Str("escapedLLMResult", s).Msg("unable to unmarshal llm result in a single object or an array of JSON objects")
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} else {
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ss = []map[string]interface{}{singleObj}
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}
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}
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log.Debug().Msgf("Function return: %s %+v", s, ss)
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for _, s := range ss {
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// The grammar defines the function name as "function", while OpenAI returns "name"
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func_name, ok := s[functionNameKey]
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if !ok {
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continue
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//return result, fmt.Errorf("unable to find function name in result")
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}
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// Similarly, while here arguments is a map[string]interface{}, OpenAI actually want a stringified object
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args, ok := s["arguments"] // arguments needs to be a string, but we return an object from the grammar result (TODO: fix)
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if !ok {
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continue
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//return result, fmt.Errorf("unable to find arguments in result")
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}
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d, _ := json.Marshal(args)
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funcName, ok := func_name.(string)
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if !ok {
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continue
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//return result, fmt.Errorf("unable to cast function name to string")
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}
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result = append(result, FuncCallResults{Name: funcName, Arguments: string(d)})
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}
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}
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return result, nil
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}
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// the response is a string that we have to parse
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result := make(map[string]string)
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if len(functionConfig.JSONRegexMatch) != 0 {
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for _, r := range functionConfig.JSONRegexMatch {
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// We use a regex to extract the JSON object from the response
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var respRegex = regexp.MustCompile(r)
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match := respRegex.FindAllStringSubmatch(llmresult, -1)
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var allMatches []string
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for _, m := range match {
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if len(m) > 1 {
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// we match the first group
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allMatches = append(allMatches, m[1])
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}
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}
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if len(allMatches) > 0 {
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llmResults = append(llmResults, allMatches...)
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break
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}
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}
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}
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if len(functionConfig.ResponseRegex) > 0 {
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// We use named regexes here to extract the function name and arguments
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// obviously, this expects the LLM to be stable and return correctly formatted JSON
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// TODO: optimize this and pre-compile it
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for _, r := range functionConfig.ResponseRegex {
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var respRegex = regexp.MustCompile(r)
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matches := respRegex.FindAllStringSubmatch(llmresult, -1)
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for _, match := range matches {
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for i, name := range respRegex.SubexpNames() {
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if i != 0 && name != "" && len(match) > i {
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result[name] = match[i]
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}
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}
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functionName := result[functionNameKey]
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if functionName == "" {
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return results
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}
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results = append(results, FuncCallResults{Name: result[functionNameKey], Arguments: result["arguments"]})
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}
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}
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} else {
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if len(llmResults) == 0 {
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llmResults = append(llmResults, llmresult)
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}
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results, _ = returnResult(llmResults)
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}
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return results
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}
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