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package models
import (
"fmt"
"strings"
)
type FuncCall struct {
Name string `json:"name"`
Args map[string]string `json:"args"`
}
type LLMResp struct {
Choices []struct {
FinishReason string `json:"finish_reason"`
Index int `json:"index"`
Message struct {
Content string `json:"content"`
Role string `json:"role"`
} `json:"message"`
} `json:"choices"`
Created int `json:"created"`
Model string `json:"model"`
Object string `json:"object"`
Usage struct {
CompletionTokens int `json:"completion_tokens"`
PromptTokens int `json:"prompt_tokens"`
TotalTokens int `json:"total_tokens"`
} `json:"usage"`
ID string `json:"id"`
}
type ToolDeltaFunc struct {
Name string `json:"name"`
Arguments string `json:"arguments"`
}
type ToolDeltaResp struct {
Index int `json:"index"`
Function ToolDeltaFunc `json:"function"`
}
// for streaming
type LLMRespChunk struct {
Choices []struct {
FinishReason string `json:"finish_reason"`
Index int `json:"index"`
Delta struct {
Content string `json:"content"`
ToolCalls []ToolDeltaResp `json:"tool_calls"`
} `json:"delta"`
} `json:"choices"`
Created int `json:"created"`
ID string `json:"id"`
Model string `json:"model"`
Object string `json:"object"`
Usage struct {
CompletionTokens int `json:"completion_tokens"`
PromptTokens int `json:"prompt_tokens"`
TotalTokens int `json:"total_tokens"`
} `json:"usage"`
}
type TextChunk struct {
Chunk string
ToolChunk string
Finished bool
ToolResp bool
FuncName string
}
type RoleMsg struct {
Role string `json:"role"`
Content string `json:"content"`
}
func (m RoleMsg) ToText(i int) string {
icon := fmt.Sprintf("(%d)", i)
// check if already has role annotation (/completion makes them)
if !strings.HasPrefix(m.Content, m.Role+":") {
icon = fmt.Sprintf("(%d) <%s>: ", i, m.Role)
}
textMsg := fmt.Sprintf("[-:-:b]%s[-:-:-]\n%s\n", icon, m.Content)
return strings.ReplaceAll(textMsg, "\n\n", "\n")
}
func (m RoleMsg) ToPrompt() string {
return strings.ReplaceAll(fmt.Sprintf("%s:\n%s", m.Role, m.Content), "\n\n", "\n")
}
type ChatBody struct {
Model string `json:"model"`
Stream bool `json:"stream"`
Messages []RoleMsg `json:"messages"`
}
func (cb *ChatBody) Rename(oldname, newname string) {
for i, m := range cb.Messages {
cb.Messages[i].Content = strings.ReplaceAll(m.Content, oldname, newname)
cb.Messages[i].Role = strings.ReplaceAll(m.Role, oldname, newname)
}
}
func (cb *ChatBody) ListRoles() []string {
namesMap := make(map[string]struct{})
for _, m := range cb.Messages {
namesMap[m.Role] = struct{}{}
}
resp := make([]string, len(namesMap))
i := 0
for k := range namesMap {
resp[i] = k
i++
}
return resp
}
func (cb *ChatBody) MakeStopSlice() []string {
namesMap := make(map[string]struct{})
for _, m := range cb.Messages {
namesMap[m.Role] = struct{}{}
}
ss := []string{"<|im_end|>"}
for k := range namesMap {
ss = append(ss, k+":\n")
}
return ss
}
type EmbeddingResp struct {
Embedding []float32 `json:"embedding"`
Index uint32 `json:"index"`
}
// type EmbeddingsResp struct {
// Model string `json:"model"`
// Object string `json:"object"`
// Usage struct {
// PromptTokens int `json:"prompt_tokens"`
// TotalTokens int `json:"total_tokens"`
// } `json:"usage"`
// Data []struct {
// Embedding []float32 `json:"embedding"`
// Index int `json:"index"`
// Object string `json:"object"`
// } `json:"data"`
// }
// === tools models
type ToolArgProps struct {
Type string `json:"type"`
Description string `json:"description"`
}
type ToolFuncParams struct {
Type string `json:"type"`
Properties map[string]ToolArgProps `json:"properties"`
Required []string `json:"required"`
}
type ToolFunc struct {
Name string `json:"name"`
Description string `json:"description"`
Parameters ToolFuncParams `json:"parameters"`
}
type Tool struct {
Type string `json:"type"`
Function ToolFunc `json:"function"`
}
type OpenAIReq struct {
*ChatBody
Tools []Tool `json:"tools"`
}
// ===
type LLMModels struct {
Object string `json:"object"`
Data []struct {
ID string `json:"id"`
Object string `json:"object"`
Created int `json:"created"`
OwnedBy string `json:"owned_by"`
Meta struct {
VocabType int `json:"vocab_type"`
NVocab int `json:"n_vocab"`
NCtxTrain int `json:"n_ctx_train"`
NEmbd int `json:"n_embd"`
NParams int64 `json:"n_params"`
Size int64 `json:"size"`
} `json:"meta"`
} `json:"data"`
}
type LlamaCPPReq struct {
Stream bool `json:"stream"`
// Messages []RoleMsg `json:"messages"`
Prompt string `json:"prompt"`
Temperature float32 `json:"temperature"`
DryMultiplier float32 `json:"dry_multiplier"`
Stop []string `json:"stop"`
MinP float32 `json:"min_p"`
NPredict int32 `json:"n_predict"`
// MaxTokens int `json:"max_tokens"`
// DryBase float64 `json:"dry_base"`
// DryAllowedLength int `json:"dry_allowed_length"`
// DryPenaltyLastN int `json:"dry_penalty_last_n"`
// CachePrompt bool `json:"cache_prompt"`
// DynatempRange int `json:"dynatemp_range"`
// DynatempExponent int `json:"dynatemp_exponent"`
// TopK int `json:"top_k"`
// TopP float32 `json:"top_p"`
// TypicalP int `json:"typical_p"`
// XtcProbability int `json:"xtc_probability"`
// XtcThreshold float32 `json:"xtc_threshold"`
// RepeatLastN int `json:"repeat_last_n"`
// RepeatPenalty int `json:"repeat_penalty"`
// PresencePenalty int `json:"presence_penalty"`
// FrequencyPenalty int `json:"frequency_penalty"`
// Samplers string `json:"samplers"`
}
func NewLCPReq(prompt string, props map[string]float32, stopStrings []string) LlamaCPPReq {
return LlamaCPPReq{
Stream: true,
Prompt: prompt,
// Temperature: 0.8,
// DryMultiplier: 0.5,
Temperature: props["temperature"],
DryMultiplier: props["dry_multiplier"],
MinP: props["min_p"],
NPredict: int32(props["n_predict"]),
Stop: stopStrings,
}
}
type LlamaCPPResp struct {
Content string `json:"content"`
Stop bool `json:"stop"`
}
|
