Feat: open router impl

.golangci.yml

@@ -10,7 +10,6 @@ linters:
     - fatcontext
     - govet
     - ineffassign
-    - noctx
     - perfsprint
     - prealloc
     - staticcheck

bot.go

@@ -52,6 +52,14 @@ var (
 		"min_p":          0.05,
 		"n_predict":      -1.0,
 	}
+	ORFreeModels = []string{
+		"google/gemini-2.0-flash-exp:free",
+		"deepseek/deepseek-chat-v3-0324:free",
+		"mistralai/mistral-small-3.2-24b-instruct:free",
+		"qwen/qwen3-14b:free",
+		"google/gemma-3-27b-it:free",
+		"meta-llama/llama-3.3-70b-instruct:free",
+	}
 )
 
 func createClient(connectTimeout time.Duration) *http.Client {
@@ -124,6 +132,24 @@ func fetchDSBalance() *models.DSBalance {
 	return &resp
 }
 
+func fetchORModels(free bool) ([]string, error) {
+	resp, err := http.Get("https://openrouter.ai/api/v1/models")
+	if err != nil {
+		return nil, err
+	}
+	defer resp.Body.Close()
+	if resp.StatusCode != 200 {
+		err := fmt.Errorf("failed to fetch or models; status: %s", resp.Status)
+		return nil, err
+	}
+	data := &models.ORModels{}
+	if err := json.NewDecoder(resp.Body).Decode(data); err != nil {
+		return nil, err
+	}
+	freeModels := data.ListModels(free)
+	return freeModels, nil
+}
+
 func sendMsgToLLM(body io.Reader) {
 	choseChunkParser()
 	bodyBytes, _ := io.ReadAll(body)
@@ -143,7 +169,7 @@ func sendMsgToLLM(body io.Reader) {
 	}
 	req.Header.Add("Accept", "application/json")
 	req.Header.Add("Content-Type", "application/json")
-	req.Header.Add("Authorization", "Bearer "+cfg.DeepSeekToken)
+	req.Header.Add("Authorization", "Bearer "+chunkParser.GetToken())
 	req.Header.Set("Content-Length", strconv.Itoa(len(bodyBytes)))
 	req.Header.Set("Accept-Encoding", "gzip")
 	// nolint
@@ -196,6 +222,9 @@ func sendMsgToLLM(body io.Reader) {
 			streamDone <- true
 			break
 		}
+		if bytes.Equal(line, []byte("ROUTER PROCESSING\n")) {
+			continue
+		}
 		content, stop, err = chunkParser.ParseChunk(line)
 		if err != nil {
 			logger.Error("error parsing response body", "error", err,
@@ -408,7 +437,7 @@ func chatToTextSlice(showSys bool) []string {
 		if !showSys && (msg.Role != cfg.AssistantRole && msg.Role != cfg.UserRole) {
 			continue
 		}
-		resp[i] = msg.ToText(i, cfg)
+		resp[i] = msg.ToText(i)
 	}
 	return resp
 }
@@ -524,6 +553,14 @@ func init() {
 		playerOrder = []string{cfg.UserRole, cfg.AssistantRole, cfg.CluedoRole2}
 		cluedoState = extra.CluedoPrepCards(playerOrder)
 	}
+	if cfg.OpenRouterToken != "" {
+		ORModels, err := fetchORModels(true)
+		if err != nil {
+			logger.Error("failed to fetch or models", "error", err)
+		} else {
+			ORFreeModels = ORModels
+		}
+	}
 	choseChunkParser()
 	httpClient = createClient(time.Second * 15)
 	if cfg.TTS_ENABLED {

config.example.toml

@@ -1,5 +1,7 @@
 ChatAPI = "http://localhost:8080/v1/chat/completions"
 CompletionAPI = "http://localhost:8080/completion"
+OpenRouterCompletionAPI = "https://openrouter.ai/api/v1/completions"
+OpenRouterChatAPI = "https://openrouter.ai/api/v1/chat/completions"
 EmbedURL = "http://localhost:8080/v1/embeddings"
 ShowSys = true
 LogFile = "log.txt"

config/config.go

@@ -41,6 +41,11 @@ type Config struct {
 	DeepSeekToken         string `toml:"DeepSeekToken"`
 	DeepSeekModel         string `toml:"DeepSeekModel"`
 	ApiLinks              []string
+	// openrouter
+	OpenRouterChatAPI       string `toml:"OpenRouterChatAPI"`
+	OpenRouterCompletionAPI string `toml:"OpenRouterCompletionAPI"`
+	OpenRouterToken         string `toml:"OpenRouterToken"`
+	OpenRouterModel         string `toml:"OpenRouterModel"`
 	// TTS
 	TTS_URL     string  `toml:"TTS_URL"`
 	TTS_ENABLED bool    `toml:"TTS_ENABLED"`
@@ -62,6 +67,8 @@ func LoadConfigOrDefault(fn string) *Config {
 		config.CompletionAPI = "http://localhost:8080/completion"
 		config.DeepSeekCompletionAPI = "https://api.deepseek.com/beta/completions"
 		config.DeepSeekChatAPI = "https://api.deepseek.com/chat/completions"
+		config.OpenRouterCompletionAPI = "https://openrouter.ai/api/v1/completions"
+		config.OpenRouterChatAPI = "https://openrouter.ai/api/v1/chat/completions"
 		config.RAGEnabled = false
 		config.EmbedURL = "http://localhost:8080/v1/embiddings"
 		config.ShowSys = true
@@ -84,7 +91,9 @@ func LoadConfigOrDefault(fn string) *Config {
 		config.ChatAPI:                 config.CompletionAPI,
 		config.CompletionAPI:           config.DeepSeekChatAPI,
 		config.DeepSeekChatAPI:         config.DeepSeekCompletionAPI,
-		config.DeepSeekCompletionAPI: config.ChatAPI,
+		config.DeepSeekCompletionAPI:   config.OpenRouterCompletionAPI,
+		config.OpenRouterCompletionAPI: config.OpenRouterChatAPI,
+		config.OpenRouterChatAPI:       config.ChatAPI,
 	}
 	for _, el := range []string{config.ChatAPI, config.CompletionAPI, config.DeepSeekChatAPI, config.DeepSeekCompletionAPI} {
 		if el != "" {

llm.go

@@ -11,6 +11,7 @@ import (
 type ChunkParser interface {
 	ParseChunk([]byte) (string, bool, error)
 	FormMsg(msg, role string, cont bool) (io.Reader, error)
+	GetToken() string
 }
 
 func choseChunkParser() {
@@ -32,15 +33,17 @@ func choseChunkParser() {
 		chunkParser = DeepSeekerChat{}
 		logger.Debug("chosen deepseekerchat", "link", cfg.CurrentAPI)
 		return
+	case "https://openrouter.ai/api/v1/completions":
+		chunkParser = OpenRouterCompletion{}
+		logger.Debug("chosen openroutercompletion", "link", cfg.CurrentAPI)
+		return
+	case "https://openrouter.ai/api/v1/chat/completions":
+		chunkParser = OpenRouterChat{}
+		logger.Debug("chosen openrouterchat", "link", cfg.CurrentAPI)
+		return
 	default:
 		chunkParser = LlamaCPPeer{}
 	}
-	// if strings.Contains(cfg.CurrentAPI, "chat") {
-	// 	logger.Debug("chosen chat parser")
-	// 	chunkParser = OpenAIer{}
-	// 	return
-	// }
-	// logger.Debug("chosen llamacpp /completion parser")
 }
 
 type LlamaCPPeer struct {
@@ -51,6 +54,16 @@ type DeepSeekerCompletion struct {
 }
 type DeepSeekerChat struct {
 }
+type OpenRouterCompletion struct {
+	Model string
+}
+type OpenRouterChat struct {
+	Model string
+}
+
+func (lcp LlamaCPPeer) GetToken() string {
+	return ""
+}
 
 func (lcp LlamaCPPeer) FormMsg(msg, role string, resume bool) (io.Reader, error) {
 	logger.Debug("formmsg llamacppeer", "link", cfg.CurrentAPI)
@@ -88,10 +101,10 @@ func (lcp LlamaCPPeer) FormMsg(msg, role string, resume bool) (io.Reader, error)
 	logger.Debug("checking prompt for /completion", "tool_use", cfg.ToolUse,
 		"msg", msg, "resume", resume, "prompt", prompt)
 	var payload any
-	payload = models.NewLCPReq(prompt, cfg, defaultLCPProps, chatBody.MakeStopSlice())
+	payload = models.NewLCPReq(prompt, defaultLCPProps, chatBody.MakeStopSlice())
-	if strings.Contains(chatBody.Model, "deepseek") {
+	if strings.Contains(chatBody.Model, "deepseek") { // TODO: why?
 		payload = models.NewDSCompletionReq(prompt, chatBody.Model,
-			defaultLCPProps["temp"], cfg, chatBody.MakeStopSlice())
+			defaultLCPProps["temp"], chatBody.MakeStopSlice())
 	}
 	data, err := json.Marshal(payload)
 	if err != nil {
@@ -116,6 +129,10 @@ func (lcp LlamaCPPeer) ParseChunk(data []byte) (string, bool, error) {
 	return llmchunk.Content, false, nil
 }
 
+func (op OpenAIer) GetToken() string {
+	return ""
+}
+
 func (op OpenAIer) ParseChunk(data []byte) (string, bool, error) {
 	llmchunk := models.LLMRespChunk{}
 	if err := json.Unmarshal(data, &llmchunk); err != nil {
@@ -177,6 +194,10 @@ func (ds DeepSeekerCompletion) ParseChunk(data []byte) (string, bool, error) {
 	return llmchunk.Choices[0].Text, false, nil
 }
 
+func (ds DeepSeekerCompletion) GetToken() string {
+	return cfg.DeepSeekToken
+}
+
 func (ds DeepSeekerCompletion) FormMsg(msg, role string, resume bool) (io.Reader, error) {
 	logger.Debug("formmsg deepseekercompletion", "link", cfg.CurrentAPI)
 	if msg != "" { // otherwise let the bot to continue
@@ -213,7 +234,7 @@ func (ds DeepSeekerCompletion) FormMsg(msg, role string, resume bool) (io.Reader
 	logger.Debug("checking prompt for /completion", "tool_use", cfg.ToolUse,
 		"msg", msg, "resume", resume, "prompt", prompt)
 	payload := models.NewDSCompletionReq(prompt, chatBody.Model,
-		defaultLCPProps["temp"], cfg, chatBody.MakeStopSlice())
+		defaultLCPProps["temp"], chatBody.MakeStopSlice())
 	data, err := json.Marshal(payload)
 	if err != nil {
 		logger.Error("failed to form a msg", "error", err)
@@ -240,6 +261,10 @@ func (ds DeepSeekerChat) ParseChunk(data []byte) (string, bool, error) {
 	return llmchunk.Choices[0].Delta.Content, false, nil
 }
 
+func (ds DeepSeekerChat) GetToken() string {
+	return cfg.DeepSeekToken
+}
+
 func (ds DeepSeekerChat) FormMsg(msg, role string, resume bool) (io.Reader, error) {
 	logger.Debug("formmsg deepseekerchat", "link", cfg.CurrentAPI)
 	if cfg.ToolUse && !resume {
@@ -286,3 +311,136 @@ func (ds DeepSeekerChat) FormMsg(msg, role string, resume bool) (io.Reader, erro
 	}
 	return bytes.NewReader(data), nil
 }
+
+// openrouter
+func (or OpenRouterCompletion) ParseChunk(data []byte) (string, bool, error) {
+	llmchunk := models.OpenRouterCompletionResp{}
+	if err := json.Unmarshal(data, &llmchunk); err != nil {
+		logger.Error("failed to decode", "error", err, "line", string(data))
+		return "", false, err
+	}
+	content := llmchunk.Choices[len(llmchunk.Choices)-1].Text
+	if llmchunk.Choices[len(llmchunk.Choices)-1].FinishReason == "stop" {
+		if content != "" {
+			logger.Error("text inside of finish llmchunk", "chunk", llmchunk)
+		}
+		return content, true, nil
+	}
+	return content, false, nil
+}
+
+func (or OpenRouterCompletion) GetToken() string {
+	return cfg.OpenRouterToken
+}
+
+func (or OpenRouterCompletion) FormMsg(msg, role string, resume bool) (io.Reader, error) {
+	logger.Debug("formmsg openroutercompletion", "link", cfg.CurrentAPI)
+	if msg != "" { // otherwise let the bot to continue
+		newMsg := models.RoleMsg{Role: role, Content: msg}
+		chatBody.Messages = append(chatBody.Messages, newMsg)
+		// if rag
+		if cfg.RAGEnabled {
+			ragResp, err := chatRagUse(newMsg.Content)
+			if err != nil {
+				logger.Error("failed to form a rag msg", "error", err)
+				return nil, err
+			}
+			ragMsg := models.RoleMsg{Role: cfg.ToolRole, Content: ragResp}
+			chatBody.Messages = append(chatBody.Messages, ragMsg)
+		}
+	}
+	if cfg.ToolUse && !resume {
+		// add to chat body
+		chatBody.Messages = append(chatBody.Messages, models.RoleMsg{Role: cfg.ToolRole, Content: toolSysMsg})
+	}
+	messages := make([]string, len(chatBody.Messages))
+	for i, m := range chatBody.Messages {
+		messages[i] = m.ToPrompt()
+	}
+	prompt := strings.Join(messages, "\n")
+	// strings builder?
+	if !resume {
+		botMsgStart := "\n" + cfg.AssistantRole + ":\n"
+		prompt += botMsgStart
+	}
+	if cfg.ThinkUse && !cfg.ToolUse {
+		prompt += "<think>"
+	}
+	logger.Debug("checking prompt for /completion", "tool_use", cfg.ToolUse,
+		"msg", msg, "resume", resume, "prompt", prompt)
+	payload := models.NewOpenRouterCompletionReq(chatBody.Model, prompt, defaultLCPProps, chatBody.MakeStopSlice())
+	data, err := json.Marshal(payload)
+	if err != nil {
+		logger.Error("failed to form a msg", "error", err)
+		return nil, err
+	}
+	return bytes.NewReader(data), nil
+}
+
+// chat
+func (or OpenRouterChat) ParseChunk(data []byte) (string, bool, error) {
+	llmchunk := models.OpenRouterChatResp{}
+	if err := json.Unmarshal(data, &llmchunk); err != nil {
+		logger.Error("failed to decode", "error", err, "line", string(data))
+		return "", false, err
+	}
+	content := llmchunk.Choices[len(llmchunk.Choices)-1].Delta.Content
+	if llmchunk.Choices[len(llmchunk.Choices)-1].FinishReason == "stop" {
+		if content != "" {
+			logger.Error("text inside of finish llmchunk", "chunk", llmchunk)
+		}
+		return content, true, nil
+	}
+	return content, false, nil
+}
+
+func (or OpenRouterChat) GetToken() string {
+	return cfg.OpenRouterToken
+}
+
+func (or OpenRouterChat) FormMsg(msg, role string, resume bool) (io.Reader, error) {
+	logger.Debug("formmsg open router completion", "link", cfg.CurrentAPI)
+	if cfg.ToolUse && !resume {
+		// prompt += "\n" + cfg.ToolRole + ":\n" + toolSysMsg
+		// add to chat body
+		chatBody.Messages = append(chatBody.Messages, models.RoleMsg{Role: cfg.ToolRole, Content: toolSysMsg})
+	}
+	if msg != "" { // otherwise let the bot continue
+		newMsg := models.RoleMsg{Role: role, Content: msg}
+		chatBody.Messages = append(chatBody.Messages, newMsg)
+		// if rag
+		if cfg.RAGEnabled {
+			ragResp, err := chatRagUse(newMsg.Content)
+			if err != nil {
+				logger.Error("failed to form a rag msg", "error", err)
+				return nil, err
+			}
+			ragMsg := models.RoleMsg{Role: cfg.ToolRole, Content: ragResp}
+			chatBody.Messages = append(chatBody.Messages, ragMsg)
+		}
+	}
+	// Create copy of chat body with standardized user role
+	// modifiedBody := *chatBody
+	bodyCopy := &models.ChatBody{
+		Messages: make([]models.RoleMsg, len(chatBody.Messages)),
+		Model:    chatBody.Model,
+		Stream:   chatBody.Stream,
+	}
+	// modifiedBody.Messages = make([]models.RoleMsg, len(chatBody.Messages))
+	for i, msg := range chatBody.Messages {
+		logger.Debug("checking roles", "#", i, "role", msg.Role)
+		if msg.Role == cfg.UserRole || i == 1 {
+			bodyCopy.Messages[i].Role = "user"
+			logger.Debug("replaced role in body", "#", i)
+		} else {
+			bodyCopy.Messages[i] = msg
+		}
+	}
+	dsBody := models.NewDSCharReq(*bodyCopy)
+	data, err := json.Marshal(dsBody)
+	if err != nil {
+		logger.Error("failed to form a msg", "error", err)
+		return nil, err
+	}
+	return bytes.NewReader(data), nil
+}

models/models.go

@@ -2,7 +2,6 @@ package models
 
 import (
 	"fmt"
-	"gf-lt/config"
 	"strings"
 )
 
@@ -56,7 +55,7 @@ type RoleMsg struct {
 	Content string `json:"content"`
 }
 
-func (m RoleMsg) ToText(i int, cfg *config.Config) string {
+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+":") {
@@ -185,7 +184,7 @@ type DSCompletionReq struct {
 	TopP            float32 `json:"top_p"`
 }
 
-func NewDSCompletionReq(prompt, model string, temp float32, cfg *config.Config, stopSlice []string) DSCompletionReq {
+func NewDSCompletionReq(prompt, model string, temp float32, stopSlice []string) DSCompletionReq {
 	return DSCompletionReq{
 		Model:            model,
 		Prompt:           prompt,
@@ -334,7 +333,7 @@ type LlamaCPPReq struct {
 	// Samplers         string  `json:"samplers"`
 }
 
-func NewLCPReq(prompt string, cfg *config.Config, props map[string]float32, stopStrings []string) LlamaCPPReq {
+func NewLCPReq(prompt string, props map[string]float32, stopStrings []string) LlamaCPPReq {
 	return LlamaCPPReq{
 		Stream: true,
 		Prompt: prompt,
@@ -362,3 +361,156 @@ type DSBalance struct {
 		ToppedUpBalance string `json:"topped_up_balance"`
 	} `json:"balance_infos"`
 }
+
+// openrouter
+// https://openrouter.ai/docs/api-reference/completion
+type OpenRouterCompletionReq struct {
+	Model       string   `json:"model"`
+	Prompt      string   `json:"prompt"`
+	Stream      bool     `json:"stream"`
+	Temperature float32  `json:"temperature"`
+	Stop        []string `json:"stop"` // not present in docs
+	MinP        float32  `json:"min_p"`
+	NPredict    int32    `json:"max_tokens"`
+}
+
+func NewOpenRouterCompletionReq(model, prompt string, props map[string]float32, stopStrings []string) OpenRouterCompletionReq {
+	return OpenRouterCompletionReq{
+		Stream:      true,
+		Prompt:      prompt,
+		Temperature: props["temperature"],
+		MinP:        props["min_p"],
+		NPredict:    int32(props["n_predict"]),
+		Stop:        stopStrings,
+		Model:       model,
+	}
+}
+
+type OpenRouterChatReq struct {
+	Messages    []RoleMsg `json:"messages"`
+	Model       string    `json:"model"`
+	Stream      bool      `json:"stream"`
+	Temperature float32   `json:"temperature"`
+	MinP        float32   `json:"min_p"`
+	NPredict    int32     `json:"max_tokens"`
+}
+
+func NewOpenRouterChatReq(cb ChatBody, props map[string]float32) OpenRouterChatReq {
+	return OpenRouterChatReq{
+		Messages:    cb.Messages,
+		Model:       cb.Model,
+		Stream:      cb.Stream,
+		Temperature: props["temperature"],
+		MinP:        props["min_p"],
+		NPredict:    int32(props["n_predict"]),
+	}
+}
+
+type OpenRouterChatRespNonStream struct {
+	ID       string `json:"id"`
+	Provider string `json:"provider"`
+	Model    string `json:"model"`
+	Object   string `json:"object"`
+	Created  int    `json:"created"`
+	Choices  []struct {
+		Logprobs           any    `json:"logprobs"`
+		FinishReason       string `json:"finish_reason"`
+		NativeFinishReason string `json:"native_finish_reason"`
+		Index              int    `json:"index"`
+		Message            struct {
+			Role      string `json:"role"`
+			Content   string `json:"content"`
+			Refusal   any    `json:"refusal"`
+			Reasoning any    `json:"reasoning"`
+		} `json:"message"`
+	} `json:"choices"`
+	Usage struct {
+		PromptTokens     int `json:"prompt_tokens"`
+		CompletionTokens int `json:"completion_tokens"`
+		TotalTokens      int `json:"total_tokens"`
+	} `json:"usage"`
+}
+
+type OpenRouterChatResp struct {
+	ID       string `json:"id"`
+	Provider string `json:"provider"`
+	Model    string `json:"model"`
+	Object   string `json:"object"`
+	Created  int    `json:"created"`
+	Choices  []struct {
+		Index int `json:"index"`
+		Delta struct {
+			Role    string `json:"role"`
+			Content string `json:"content"`
+		} `json:"delta"`
+		FinishReason       string `json:"finish_reason"`
+		NativeFinishReason string `json:"native_finish_reason"`
+		Logprobs           any    `json:"logprobs"`
+	} `json:"choices"`
+}
+
+type OpenRouterCompletionResp struct {
+	ID       string `json:"id"`
+	Provider string `json:"provider"`
+	Model    string `json:"model"`
+	Object   string `json:"object"`
+	Created  int    `json:"created"`
+	Choices  []struct {
+		Text               string `json:"text"`
+		FinishReason       string `json:"finish_reason"`
+		NativeFinishReason string `json:"native_finish_reason"`
+		Logprobs           any    `json:"logprobs"`
+	} `json:"choices"`
+}
+
+type ORModel struct {
+	ID            string `json:"id"`
+	CanonicalSlug string `json:"canonical_slug"`
+	HuggingFaceID string `json:"hugging_face_id"`
+	Name          string `json:"name"`
+	Created       int    `json:"created"`
+	Description   string `json:"description"`
+	ContextLength int    `json:"context_length"`
+	Architecture  struct {
+		Modality         string   `json:"modality"`
+		InputModalities  []string `json:"input_modalities"`
+		OutputModalities []string `json:"output_modalities"`
+		Tokenizer        string   `json:"tokenizer"`
+		InstructType     any      `json:"instruct_type"`
+	} `json:"architecture"`
+	Pricing struct {
+		Prompt            string `json:"prompt"`
+		Completion        string `json:"completion"`
+		Request           string `json:"request"`
+		Image             string `json:"image"`
+		Audio             string `json:"audio"`
+		WebSearch         string `json:"web_search"`
+		InternalReasoning string `json:"internal_reasoning"`
+	} `json:"pricing,omitempty"`
+	TopProvider struct {
+		ContextLength       int  `json:"context_length"`
+		MaxCompletionTokens int  `json:"max_completion_tokens"`
+		IsModerated         bool `json:"is_moderated"`
+	} `json:"top_provider"`
+	PerRequestLimits    any      `json:"per_request_limits"`
+	SupportedParameters []string `json:"supported_parameters"`
+}
+
+type ORModels struct {
+	Data []ORModel `json:"data"`
+}
+
+func (orm *ORModels) ListModels(free bool) []string {
+	resp := []string{}
+	for _, model := range orm.Data {
+		if free {
+			if model.Pricing.Prompt == "0" && model.Pricing.Request == "0" &&
+				model.Pricing.Completion == "0" {
+				resp = append(resp, model.ID)
+			}
+		} else {
+			resp = append(resp, model.ID)
+		}
+	}
+	return resp
+}

tables.go

@@ -144,7 +144,6 @@ func makeChatTable(chatMap map[string]models.Chat) *tview.Table {
 				return
 			}
 			// Reload card from disk
-			newCard := &models.CharCard{}
 			newCard, err := pngmeta.ReadCard(cc.FilePath, cfg.UserRole)
 			if err != nil {
 				logger.Error("failed to reload charcard", "path", cc.FilePath, "error", err)

tui.go

@@ -241,6 +241,8 @@ func setLogLevel(sl string) {
 func makePropsForm(props map[string]float32) *tview.Form {
 	// https://github.com/rivo/tview/commit/0a18dea458148770d212d348f656988df75ff341
 	// no way to close a form by a key press; a shame.
+	modelList := []string{chatBody.Model, "deepseek-chat", "deepseek-reasoner"}
+	modelList = append(modelList, ORFreeModels...)
 	form := tview.NewForm().
 		AddTextView("Notes", "Props for llamacpp completion call", 40, 2, true, false).
 		AddCheckbox("Insert <think> (/completion only)", cfg.ThinkUse, func(checked bool) {
@@ -253,7 +255,7 @@ func makePropsForm(props map[string]float32) *tview.Form {
 		}).AddDropDown("Select an api: ", slices.Insert(cfg.ApiLinks, 0, cfg.CurrentAPI), 0,
 		func(option string, optionIndex int) {
 			cfg.CurrentAPI = option
-		}).AddDropDown("Select a model: ", []string{chatBody.Model, "deepseek-chat", "deepseek-reasoner"}, 0,
+		}).AddDropDown("Select a model: ", modelList, 0,
 		func(option string, optionIndex int) {
 			chatBody.Model = option
 		}).AddDropDown("Write next message as: ", chatBody.ListRoles(), 0,
@@ -694,11 +696,10 @@ func init() {
 				return nil
 			}
 			cfg.CurrentAPI = newAPI
-			if strings.Contains(cfg.CurrentAPI, "deepseek") {
+			// // TODO: implement model pick
-				chatBody.Model = "deepseek-chat"
+			// if strings.Contains(cfg.CurrentAPI, "deepseek") {
-			} else {
+			// 	chatBody.Model = "deepseek-chat"
-				chatBody.Model = "local"
+			// }
-			}
 			choseChunkParser()
 			updateStatusLine()
 			return nil