fix: symlink libphonemize in the container (#831)

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

.github/workflows/bump_deps.yaml

@@ -12,9 +12,6 @@ jobs:
           - repository: "go-skynet/go-llama.cpp"
             variable: "GOLLAMA_VERSION"
             branch: "master"
-          - repository: "go-skynet/go-llama.cpp"
-            variable: "GOLLAMA_GRAMMAR_VERSION"
-            branch: "master"
           - repository: "go-skynet/go-ggml-transformers.cpp"
             variable: "GOGGMLTRANSFORMERS_VERSION"
             branch: "master"

.github/workflows/test.yml

@@ -43,8 +43,8 @@ jobs:
           mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \
           curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v1.0.0/libpiper_phonemize-amd64.tar.gz" | \
           tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && \
-          sudo cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /lib64/ && \
           sudo cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \
+          sudo ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && \
           sudo cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/
       - name: Test
         run: |

.gitignore

@@ -36,5 +36,5 @@ release/
 
 # Generated during build
 backend-assets/
-
+prepare
 /ggml-metal.metal

Dockerfile

@@ -63,8 +63,8 @@ RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSIO
     mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \
     curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz" | \
     tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && \
-    cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /lib64/ && \
     cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \
+    ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && \
     cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/
 # \
 #    ; fi

Makefile

@@ -4,21 +4,11 @@ GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
 
 # llama.cpp versions
-# Temporarly pinned to https://github.com/go-skynet/go-llama.cpp/pull/124
-GOLLAMA_VERSION?=f3a6ee0ef53d667f110d28fcf9b808bdca741c07
-
-GOLLAMA_GRAMMAR_VERSION?=cb8d7cd4cb95725a04504a9e3a26dd72a12b69ac
-# Temporary set a specific version of llama.cpp
-# containing: https://github.com/ggerganov/llama.cpp/pull/1773 and
-# rebased on top of master.
-# This pin can be dropped when the PR above is merged, and go-llama has merged changes as well
-# Set empty to use the version pinned by go-llama
-LLAMA_CPP_GRAMMAR_REPO?=https://github.com/mudler/llama.cpp
-LLAMA_CPP_GRAMMAR_VERSION?=48ce8722a05a018681634af801fd0fd45b3a87cc
+GOLLAMA_VERSION?=6ba16de8e965e5aa0f32d25ef9d6149bb6586565
 
 # gpt4all version
 GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
-GPT4ALL_VERSION?=8aba2c9009fb6bc723f623c614e265b41722e4e3
+GPT4ALL_VERSION?=9100b2ef6fb95a1c49a3e033980d555818f01901
 
 # go-ggml-transformers version
 GOGGMLTRANSFORMERS_VERSION?=ffb09d7dd71e2cbc6c5d7d05357d230eea6f369a
@@ -202,28 +192,17 @@ go-llama:
 	git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
 	cd go-llama && git checkout -b build $(GOLLAMA_VERSION) && git submodule update --init --recursive --depth 1
 
-go-llama-grammar:
-	git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama-grammar
-	cd go-llama-grammar && git checkout -b build $(GOLLAMA_GRAMMAR_VERSION) && git submodule update --init --recursive --depth 1
-ifneq ($(LLAMA_CPP_GRAMMAR_REPO),)
-	cd go-llama-grammar && rm -rf llama.cpp && git clone $(LLAMA_CPP_GRAMMAR_REPO) llama.cpp && cd llama.cpp && git checkout -b build $(LLAMA_CPP_GRAMMAR_VERSION) && git submodule update --init --recursive --depth 1
-endif
-
 go-llama/libbinding.a: go-llama
 	$(MAKE) -C go-llama BUILD_TYPE=$(BUILD_TYPE) libbinding.a
 
-go-llama-grammar/libbinding.a: go-llama-grammar
-	$(MAKE) -C go-llama-grammar BUILD_TYPE=$(BUILD_TYPE) libbinding.a
-
 go-piper/libpiper_binding.a:
 	$(MAKE) -C go-piper libpiper_binding.a example/main
 
-get-sources: go-llama go-ggllm go-llama-grammar go-ggml-transformers gpt4all go-piper go-rwkv whisper.cpp go-bert bloomz go-stable-diffusion
+get-sources: go-llama go-ggllm go-ggml-transformers gpt4all go-piper go-rwkv whisper.cpp go-bert bloomz go-stable-diffusion
 	touch $@
 
 replace:
 	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp-grammar=$(shell pwd)/go-llama-grammar
 	$(GOCMD) mod edit -replace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang=$(shell pwd)/gpt4all/gpt4all-bindings/golang
 	$(GOCMD) mod edit -replace github.com/go-skynet/go-ggml-transformers.cpp=$(shell pwd)/go-ggml-transformers
 	$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(shell pwd)/go-rwkv
@@ -241,7 +220,6 @@ prepare-sources: get-sources replace
 rebuild: ## Rebuilds the project
 	$(GOCMD) clean -cache
 	$(MAKE) -C go-llama clean
-	$(MAKE) -C go-llama-grammar clean
 	$(MAKE) -C gpt4all/gpt4all-bindings/golang/ clean
 	$(MAKE) -C go-ggml-transformers clean
 	$(MAKE) -C go-rwkv clean
@@ -258,7 +236,8 @@ prepare: prepare-sources $(OPTIONAL_TARGETS)
 
 clean: ## Remove build related file
 	$(GOCMD) clean -cache
-	rm -fr ./go-llama
+	rm -f prepare
+	rm -rf ./go-llama
 	rm -rf ./gpt4all
 	rm -rf ./go-gpt2
 	rm -rf ./go-stable-diffusion
@@ -375,10 +354,6 @@ ifeq ($(BUILD_TYPE),metal)
 	cp go-llama/build/bin/ggml-metal.metal backend-assets/grpc/
 endif
 
-backend-assets/grpc/llama-grammar: backend-assets/grpc go-llama-grammar/libbinding.a
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/go-llama-grammar LIBRARY_PATH=$(shell pwd)/go-llama-grammar \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/llama-grammar ./cmd/grpc/llama-grammar/
-
 backend-assets/grpc/gpt4all: backend-assets/grpc backend-assets/gpt4all gpt4all/gpt4all-bindings/golang/libgpt4all.a
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/gpt4all/gpt4all-bindings/golang/ LIBRARY_PATH=$(shell pwd)/gpt4all/gpt4all-bindings/golang/ \
 	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/gpt4all ./cmd/grpc/gpt4all/
@@ -442,4 +417,4 @@ backend-assets/grpc/whisper: backend-assets/grpc whisper.cpp/libwhisper.a
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(shell pwd)/whisper.cpp LIBRARY_PATH=$(shell pwd)/whisper.cpp \
 	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/whisper ./cmd/grpc/whisper/
 
-grpcs: prepare backend-assets/grpc/langchain-huggingface backend-assets/grpc/llama-grammar backend-assets/grpc/falcon-ggml backend-assets/grpc/bert-embeddings backend-assets/grpc/falcon backend-assets/grpc/bloomz backend-assets/grpc/llama backend-assets/grpc/gpt4all backend-assets/grpc/dolly backend-assets/grpc/gpt2 backend-assets/grpc/gptj backend-assets/grpc/gptneox backend-assets/grpc/mpt backend-assets/grpc/replit backend-assets/grpc/starcoder backend-assets/grpc/rwkv backend-assets/grpc/whisper $(OPTIONAL_GRPC)
+grpcs: prepare backend-assets/grpc/langchain-huggingface backend-assets/grpc/falcon-ggml backend-assets/grpc/bert-embeddings backend-assets/grpc/falcon backend-assets/grpc/bloomz backend-assets/grpc/llama backend-assets/grpc/gpt4all backend-assets/grpc/dolly backend-assets/grpc/gpt2 backend-assets/grpc/gptj backend-assets/grpc/gptneox backend-assets/grpc/mpt backend-assets/grpc/replit backend-assets/grpc/starcoder backend-assets/grpc/rwkv backend-assets/grpc/whisper $(OPTIONAL_GRPC)

README.md

@@ -13,23 +13,24 @@
 
 **LocalAI** is a drop-in replacement REST API that's compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families that are compatible with the ggml format. Does not require GPU.
 
-For a list of the supported model families, please see [the model compatibility table](https://localai.io/model-compatibility/index.html#model-compatibility-table).
-
 In a nutshell:
 
 - Local, OpenAI drop-in alternative REST API. You own your data.
 - NO GPU required. NO Internet access is required either
   - Optional, GPU Acceleration is available in `llama.cpp`-compatible LLMs. See also the [build section](https://localai.io/basics/build/index.html). 
 - Supports multiple models:
-  - 📖 Text generation with GPTs (`llama.cpp`, `gpt4all.cpp`, ... and more)
-  - 🗣 Text to Audio 🎺🆕
-  - 🔈 Audio to Text (Audio transcription with `whisper.cpp`)
-  - 🎨 Image generation with stable diffusion
+  - 📖 [Text generation with GPTs](https://localai.io/features/text-generation/) (`llama.cpp`, `gpt4all.cpp`, ... [:book: and more](https://localai.io/model-compatibility/index.html#model-compatibility-table))
+  - 🗣 [Text to Audio](https://localai.io/features/text-to-audio/)
+  - 🔈 [Audio to Text](https://localai.io/features/audio-to-text/) (Audio transcription with `whisper.cpp`)
+  - 🎨 [Image generation with stable diffusion](https://localai.io/features/image-generation)
+  - 🔥 [OpenAI functions](https://localai.io/features/openai-functions/) 🆕
 - 🏃 Once loaded the first time, it keep models loaded in memory for faster inference
 - ⚡ Doesn't shell-out, but uses C++ bindings for a faster inference and better performance. 
 
 LocalAI was created by [Ettore Di Giacinto](https://github.com/mudler/) and is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome! 
 
+Note that this started just as a [fun weekend project](https://localai.io/#backstory) in order to try to create the necessary pieces for a full AI assistant like `ChatGPT`: the community is growing fast and we are working hard to make it better and more stable. If you want to help, please consider contributing (see below)!
+
 See the [Getting started](https://localai.io/basics/getting_started/index.html) and [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/) sections to learn how to use LocalAI. For a list of curated models check out the [model gallery](https://localai.io/models/).
 
 
@@ -51,14 +52,14 @@ See the [Getting started](https://localai.io/basics/getting_started/index.html)
 - [X] Enable automatic downloading of models from HuggingFace
 - [ ] Upstream our golang bindings to llama.cpp (https://github.com/ggerganov/llama.cpp/issues/351) 
 - [ ] Enable gallery management directly from the webui.
-- [ ] 🔥 OpenAI functions: https://github.com/go-skynet/LocalAI/issues/588
+- [x] 🔥 OpenAI functions: https://github.com/go-skynet/LocalAI/issues/588
+- [ ] 🔥 GPTQ support: https://github.com/go-skynet/LocalAI/issues/796
 
 ## News
 
-- 🔥🔥🔥 28-06-2023: **v1.20.0**: Added text to audio and gallery huggingface repositories! [Release notes](https://localai.io/basics/news/index.html#-28-06-2023-__v1200__-) [Changelog](https://github.com/go-skynet/LocalAI/releases/tag/v1.20.0)
-- 🔥🔥🔥 19-06-2023: **v1.19.0**: CUDA support! [Release notes](https://localai.io/basics/news/index.html#-19-06-2023-__v1190__-) [Changelog](https://github.com/go-skynet/LocalAI/releases/tag/v1.19.0)
-- 🔥🔥🔥 06-06-2023: **v1.18.0**: Many updates, new features, and much more 🚀, check out the [Release notes](https://localai.io/basics/news/index.html#-06-06-2023-__v1180__-)!
-- 29-05-2023: LocalAI now has a website, [https://localai.io](https://localai.io)! check the news in the [dedicated section](https://localai.io/basics/news/index.html)!
+Check the news and the release notes in the [dedicated section](https://localai.io/basics/news/index.html)
+
+- 🔥🔥🔥 23-07-2023: **v1.22.0**: LLaMa2, huggingface embeddings, and more ! [Changelog](https://github.com/go-skynet/LocalAI/releases/tag/v1.22.0)
 
 For latest news, follow also on Twitter [@LocalAI_API](https://twitter.com/LocalAI_API) and [@mudler_it](https://twitter.com/mudler_it)
 

api/api_test.go

@@ -30,10 +30,10 @@ import (
 )
 
 type modelApplyRequest struct {
-	ID        string            `json:"id"`
-	URL       string            `json:"url"`
-	Name      string            `json:"name"`
-	Overrides map[string]string `json:"overrides"`
+	ID        string                 `json:"id"`
+	URL       string                 `json:"url"`
+	Name      string                 `json:"name"`
+	Overrides map[string]interface{} `json:"overrides"`
 }
 
 func getModelStatus(url string) (response map[string]interface{}) {
@@ -243,7 +243,7 @@ var _ = Describe("API test", func() {
 				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
 					URL:  "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
 					Name: "bert",
-					Overrides: map[string]string{
+					Overrides: map[string]interface{}{
 						"backend": "llama",
 					},
 				})
@@ -269,7 +269,7 @@ var _ = Describe("API test", func() {
 				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
 					URL:       "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
 					Name:      "bert",
-					Overrides: map[string]string{},
+					Overrides: map[string]interface{}{},
 				})
 
 				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
@@ -297,7 +297,7 @@ var _ = Describe("API test", func() {
 				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
 					URL:       "github:go-skynet/model-gallery/openllama_3b.yaml",
 					Name:      "openllama_3b",
-					Overrides: map[string]string{"backend": "llama-grammar"},
+					Overrides: map[string]interface{}{"backend": "llama", "mmap": true, "f16": true, "context_size": 128},
 				})
 
 				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
@@ -355,7 +355,7 @@ var _ = Describe("API test", func() {
 				var res map[string]string
 				err = json.Unmarshal([]byte(resp2.Choices[0].Message.FunctionCall.Arguments), &res)
 				Expect(err).ToNot(HaveOccurred())
-				Expect(res["location"]).To(Equal("San Francisco"), fmt.Sprint(res))
+				Expect(res["location"]).To(Equal("San Francisco, California, United States"), fmt.Sprint(res))
 				Expect(res["unit"]).To(Equal("celcius"), fmt.Sprint(res))
 				Expect(string(resp2.Choices[0].FinishReason)).To(Equal("function_call"), fmt.Sprint(resp2.Choices[0].FinishReason))
 			})
@@ -366,9 +366,8 @@ var _ = Describe("API test", func() {
 				}
 
 				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
-					URL:       "github:go-skynet/model-gallery/gpt4all-j.yaml",
-					Name:      "gpt4all-j",
-					Overrides: map[string]string{},
+					URL:  "github:go-skynet/model-gallery/gpt4all-j.yaml",
+					Name: "gpt4all-j",
 				})
 
 				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))

api/backend/llm.go

@@ -1,6 +1,7 @@
 package backend
 
 import (
+	"context"
 	"os"
 	"regexp"
 	"strings"
@@ -14,7 +15,7 @@ import (
 	"github.com/go-skynet/LocalAI/pkg/utils"
 )
 
-func ModelInference(s string, loader *model.ModelLoader, c config.Config, o *options.Option, tokenCallback func(string) bool) (func() (string, error), error) {
+func ModelInference(ctx context.Context, s string, loader *model.ModelLoader, c config.Config, o *options.Option, tokenCallback func(string) bool) (func() (string, error), error) {
 	modelFile := c.Model
 
 	grpcOpts := gRPCModelOpts(c)
@@ -66,17 +67,17 @@ func ModelInference(s string, loader *model.ModelLoader, c config.Config, o *opt
 		opts.Prompt = s
 		if tokenCallback != nil {
 			ss := ""
-			err := inferenceModel.PredictStream(o.Context, opts, func(s string) {
-				tokenCallback(s)
-				ss += s
+			err := inferenceModel.PredictStream(ctx, opts, func(s []byte) {
+				tokenCallback(string(s))
+				ss += string(s)
 			})
 			return ss, err
 		} else {
-			reply, err := inferenceModel.Predict(o.Context, opts)
+			reply, err := inferenceModel.Predict(ctx, opts)
 			if err != nil {
 				return "", err
 			}
-			return reply.Message, err
+			return string(reply.Message), err
 		}
 	}
 

api/backend/options.go

@@ -15,19 +15,21 @@ func gRPCModelOpts(c config.Config) *pb.ModelOptions {
 		b = c.Batch
 	}
 	return &pb.ModelOptions{
-		ContextSize: int32(c.ContextSize),
-		Seed:        int32(c.Seed),
-		NBatch:      int32(b),
-		F16Memory:   c.F16,
-		MLock:       c.MMlock,
-		NUMA:        c.NUMA,
-		Embeddings:  c.Embeddings,
-		LowVRAM:     c.LowVRAM,
-		NGPULayers:  int32(c.NGPULayers),
-		MMap:        c.MMap,
-		MainGPU:     c.MainGPU,
-		Threads:     int32(c.Threads),
-		TensorSplit: c.TensorSplit,
+		ContextSize:   int32(c.ContextSize),
+		Seed:          int32(c.Seed),
+		NBatch:        int32(b),
+		F16Memory:     c.F16,
+		MLock:         c.MMlock,
+		RopeFreqBase:  c.RopeFreqBase,
+		RopeFreqScale: c.RopeFreqScale,
+		NUMA:          c.NUMA,
+		Embeddings:    c.Embeddings,
+		LowVRAM:       c.LowVRAM,
+		NGPULayers:    int32(c.NGPULayers),
+		MMap:          c.MMap,
+		MainGPU:       c.MainGPU,
+		Threads:       int32(c.Threads),
+		TensorSplit:   c.TensorSplit,
 	}
 }
 
@@ -39,34 +41,37 @@ func gRPCPredictOpts(c config.Config, modelPath string) *pb.PredictOptions {
 		promptCachePath = p
 	}
 	return &pb.PredictOptions{
-		Temperature:     float32(c.Temperature),
-		TopP:            float32(c.TopP),
-		TopK:            int32(c.TopK),
-		Tokens:          int32(c.Maxtokens),
-		Threads:         int32(c.Threads),
-		PromptCacheAll:  c.PromptCacheAll,
-		PromptCacheRO:   c.PromptCacheRO,
-		PromptCachePath: promptCachePath,
-		F16KV:           c.F16,
-		DebugMode:       c.Debug,
-		Grammar:         c.Grammar,
-
-		Mirostat:          int32(c.Mirostat),
-		MirostatETA:       float32(c.MirostatETA),
-		MirostatTAU:       float32(c.MirostatTAU),
-		Debug:             c.Debug,
-		StopPrompts:       c.StopWords,
-		Repeat:            int32(c.RepeatPenalty),
-		NKeep:             int32(c.Keep),
-		Batch:             int32(c.Batch),
-		IgnoreEOS:         c.IgnoreEOS,
-		Seed:              int32(c.Seed),
-		FrequencyPenalty:  float32(c.FrequencyPenalty),
-		MLock:             c.MMlock,
-		MMap:              c.MMap,
-		MainGPU:           c.MainGPU,
-		TensorSplit:       c.TensorSplit,
-		TailFreeSamplingZ: float32(c.TFZ),
-		TypicalP:          float32(c.TypicalP),
+		Temperature:         float32(c.Temperature),
+		TopP:                float32(c.TopP),
+		TopK:                int32(c.TopK),
+		Tokens:              int32(c.Maxtokens),
+		Threads:             int32(c.Threads),
+		PromptCacheAll:      c.PromptCacheAll,
+		PromptCacheRO:       c.PromptCacheRO,
+		PromptCachePath:     promptCachePath,
+		F16KV:               c.F16,
+		DebugMode:           c.Debug,
+		Grammar:             c.Grammar,
+		NegativePromptScale: c.NegativePromptScale,
+		RopeFreqBase:        c.RopeFreqBase,
+		RopeFreqScale:       c.RopeFreqScale,
+		NegativePrompt:      c.NegativePrompt,
+		Mirostat:            int32(c.Mirostat),
+		MirostatETA:         float32(c.MirostatETA),
+		MirostatTAU:         float32(c.MirostatTAU),
+		Debug:               c.Debug,
+		StopPrompts:         c.StopWords,
+		Repeat:              int32(c.RepeatPenalty),
+		NKeep:               int32(c.Keep),
+		Batch:               int32(c.Batch),
+		IgnoreEOS:           c.IgnoreEOS,
+		Seed:                int32(c.Seed),
+		FrequencyPenalty:    float32(c.FrequencyPenalty),
+		MLock:               c.MMlock,
+		MMap:                c.MMap,
+		MainGPU:             c.MainGPU,
+		TensorSplit:         c.TensorSplit,
+		TailFreeSamplingZ:   float32(c.TFZ),
+		TypicalP:            float32(c.TypicalP),
 	}
 }

api/config/prediction.go

@@ -34,4 +34,9 @@ type PredictionOptions struct {
 
 	TypicalP float64 `json:"typical_p" yaml:"typical_p"`
 	Seed     int     `json:"seed" yaml:"seed"`
+
+	NegativePrompt      string  `json:"negative_prompt" yaml:"negative_prompt"`
+	RopeFreqBase        float32 `json:"rope_freq_base" yaml:"rope_freq_base"`
+	RopeFreqScale       float32 `json:"rope_freq_scale" yaml:"rope_freq_scale"`
+	NegativePromptScale float32 `json:"negative_prompt_scale" yaml:"negative_prompt_scale"`
 }

api/openai/api.go

@@ -1,6 +1,7 @@
 package openai
 
 import (
+	"context"
 	config "github.com/go-skynet/LocalAI/api/config"
 
 	"github.com/go-skynet/LocalAI/pkg/grammar"
@@ -70,6 +71,9 @@ type OpenAIModel struct {
 type OpenAIRequest struct {
 	config.PredictionOptions
 
+	Context context.Context
+	Cancel  context.CancelFunc
+
 	// whisper
 	File string `json:"file" validate:"required"`
 	//whisper/image

api/openai/chat.go

@@ -28,7 +28,7 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
 		}
 		responses <- initialMessage
 
-		ComputeChoices(s, req.N, config, o, loader, func(s string, c *[]Choice) {}, func(s string) bool {
+		ComputeChoices(req, s, config, o, loader, func(s string, c *[]Choice) {}, func(s string) bool {
 			resp := OpenAIResponse{
 				Model:   req.Model, // we have to return what the user sent here, due to OpenAI spec.
 				Choices: []Choice{{Delta: &Message{Content: &s}, Index: 0}},
@@ -43,7 +43,7 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
 	return func(c *fiber.Ctx) error {
 		processFunctions := false
 		funcs := grammar.Functions{}
-		modelFile, input, err := readInput(c, o.Loader, true)
+		modelFile, input, err := readInput(c, o, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -235,7 +235,12 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
 					enc.Encode(ev)
 
 					log.Debug().Msgf("Sending chunk: %s", buf.String())
-					fmt.Fprintf(w, "data: %v\n", buf.String())
+					_, err := fmt.Fprintf(w, "data: %v\n", buf.String())
+					if err != nil {
+						log.Debug().Msgf("Sending chunk failed: %v", err)
+						input.Cancel()
+						break
+					}
 					w.Flush()
 				}
 
@@ -258,7 +263,7 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
 			return nil
 		}
 
-		result, err := ComputeChoices(predInput, input.N, config, o, o.Loader, func(s string, c *[]Choice) {
+		result, err := ComputeChoices(input, predInput, 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{}{}
@@ -300,7 +305,7 @@ func ChatEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
 					// 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 := backend.ModelInference(predInput, o.Loader, *config, o, nil)
+					predFunc, err := backend.ModelInference(input.Context, predInput, o.Loader, *config, o, nil)
 					if err != nil {
 						log.Error().Msgf("inference error: %s", err.Error())
 						return

api/openai/completion.go

@@ -18,7 +18,7 @@ import (
 // https://platform.openai.com/docs/api-reference/completions
 func CompletionEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx) error {
 	process := func(s string, req *OpenAIRequest, config *config.Config, loader *model.ModelLoader, responses chan OpenAIResponse) {
-		ComputeChoices(s, req.N, config, o, loader, func(s string, c *[]Choice) {}, func(s string) bool {
+		ComputeChoices(req, s, config, o, loader, func(s string, c *[]Choice) {}, func(s string) bool {
 			resp := OpenAIResponse{
 				Model: req.Model, // we have to return what the user sent here, due to OpenAI spec.
 				Choices: []Choice{
@@ -38,7 +38,7 @@ func CompletionEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fibe
 	}
 
 	return func(c *fiber.Ctx) error {
-		modelFile, input, err := readInput(c, o.Loader, true)
+		modelFile, input, err := readInput(c, o, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -130,7 +130,7 @@ func CompletionEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fibe
 				log.Debug().Msgf("Template found, input modified to: %s", i)
 			}
 
-			r, err := ComputeChoices(i, input.N, config, o, o.Loader, func(s string, c *[]Choice) {
+			r, err := ComputeChoices(input, i, config, o, o.Loader, func(s string, c *[]Choice) {
 				*c = append(*c, Choice{Text: s, FinishReason: "stop", Index: k})
 			}, nil)
 			if err != nil {

api/openai/edit.go

@@ -13,7 +13,7 @@ import (
 
 func EditEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		modelFile, input, err := readInput(c, o.Loader, true)
+		modelFile, input, err := readInput(c, o, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -43,7 +43,7 @@ func EditEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx)
 				log.Debug().Msgf("Template found, input modified to: %s", i)
 			}
 
-			r, err := ComputeChoices(i, input.N, config, o, o.Loader, func(s string, c *[]Choice) {
+			r, err := ComputeChoices(input, i, config, o, o.Loader, func(s string, c *[]Choice) {
 				*c = append(*c, Choice{Text: s})
 			}, nil)
 			if err != nil {

api/openai/embeddings.go

@@ -14,7 +14,7 @@ import (
 // https://platform.openai.com/docs/api-reference/embeddings
 func EmbeddingsEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		model, input, err := readInput(c, o.Loader, true)
+		model, input, err := readInput(c, o, true)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}

api/openai/image.go

@@ -35,7 +35,7 @@ import (
 */
 func ImageEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		m, input, err := readInput(c, o.Loader, false)
+		m, input, err := readInput(c, o, false)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}

api/openai/inference.go

@@ -7,7 +7,8 @@ import (
 	model "github.com/go-skynet/LocalAI/pkg/model"
 )
 
-func ComputeChoices(predInput string, n int, config *config.Config, o *options.Option, loader *model.ModelLoader, cb func(string, *[]Choice), tokenCallback func(string) bool) ([]Choice, error) {
+func ComputeChoices(req *OpenAIRequest, predInput string, config *config.Config, o *options.Option, loader *model.ModelLoader, cb func(string, *[]Choice), tokenCallback func(string) bool) ([]Choice, error) {
+	n := req.N
 	result := []Choice{}
 
 	if n == 0 {
@@ -15,7 +16,7 @@ func ComputeChoices(predInput string, n int, config *config.Config, o *options.O
 	}
 
 	// get the model function to call for the result
-	predFunc, err := backend.ModelInference(predInput, loader, *config, o, tokenCallback)
+	predFunc, err := backend.ModelInference(req.Context, predInput, loader, *config, o, tokenCallback)
 	if err != nil {
 		return result, err
 	}

api/openai/request.go

@@ -1,6 +1,7 @@
 package openai
 
 import (
+	"context"
 	"encoding/json"
 	"fmt"
 	"os"
@@ -8,13 +9,18 @@ import (
 	"strings"
 
 	config "github.com/go-skynet/LocalAI/api/config"
+	options "github.com/go-skynet/LocalAI/api/options"
 	model "github.com/go-skynet/LocalAI/pkg/model"
 	"github.com/gofiber/fiber/v2"
 	"github.com/rs/zerolog/log"
 )
 
-func readInput(c *fiber.Ctx, loader *model.ModelLoader, randomModel bool) (string, *OpenAIRequest, error) {
+func readInput(c *fiber.Ctx, o *options.Option, randomModel bool) (string, *OpenAIRequest, error) {
+	loader := o.Loader
 	input := new(OpenAIRequest)
+	ctx, cancel := context.WithCancel(o.Context)
+	input.Context = ctx
+	input.Cancel = cancel
 	// Get input data from the request body
 	if err := c.BodyParser(input); err != nil {
 		return "", nil, err
@@ -65,6 +71,22 @@ func updateConfig(config *config.Config, input *OpenAIRequest) {
 		config.TopP = input.TopP
 	}
 
+	if input.NegativePromptScale != 0 {
+		config.NegativePromptScale = input.NegativePromptScale
+	}
+
+	if input.NegativePrompt != "" {
+		config.NegativePrompt = input.NegativePrompt
+	}
+
+	if input.RopeFreqBase != 0 {
+		config.RopeFreqBase = input.RopeFreqBase
+	}
+
+	if input.RopeFreqScale != 0 {
+		config.RopeFreqScale = input.RopeFreqScale
+	}
+
 	if input.Grammar != "" {
 		config.Grammar = input.Grammar
 	}
@@ -161,7 +183,7 @@ func updateConfig(config *config.Config, input *OpenAIRequest) {
 		n, exists := fnc["name"]
 		if exists {
 			nn, e := n.(string)
-			if !e {
+			if e {
 				name = nn
 			}
 		}

api/openai/transcription.go

@@ -19,7 +19,7 @@ import (
 // https://platform.openai.com/docs/api-reference/audio/create
 func TranscriptEndpoint(cm *config.ConfigLoader, o *options.Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		m, input, err := readInput(c, o.Loader, false)
+		m, input, err := readInput(c, o, false)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}

cmd/grpc/llama-grammar/main.go

@@ -1,25 +0,0 @@
-package main
-
-// GRPC Falcon server
-
-// Note: this is started internally by LocalAI and a server is allocated for each model
-
-import (
-	"flag"
-
-	llama "github.com/go-skynet/LocalAI/pkg/grpc/llm/llama-grammar"
-
-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
-)
-
-var (
-	addr = flag.String("addr", "localhost:50051", "the address to connect to")
-)
-
-func main() {
-	flag.Parse()
-
-	if err := grpc.StartServer(*addr, &llama.LLM{}); err != nil {
-		panic(err)
-	}
-}

entrypoint.sh

@@ -16,6 +16,25 @@ else
 	echo "see the documentation at: https://localai.io/basics/build/index.html"
 	echo "Note: See also https://github.com/go-skynet/LocalAI/issues/288"
 	echo "@@@@@"
+	echo "CPU info:"
+	grep -e "model\sname" /proc/cpuinfo | head -1
+	grep -e "flags" /proc/cpuinfo | head -1
+	if grep -q -e "\savx\s" /proc/cpuinfo ; then
+		echo "CPU:    AVX    found OK"
+	else
+		echo "CPU: no AVX    found"
+	fi
+	if grep -q -e "\savx2\s" /proc/cpuinfo ; then
+		echo "CPU:    AVX2   found OK"
+	else
+		echo "CPU: no AVX2   found"
+	fi
+	if grep -q -e "\savx512" /proc/cpuinfo ; then
+		echo "CPU:    AVX512 found OK"
+	else
+		echo "CPU: no AVX512 found"
+	fi
+	echo "@@@@@"
 fi
 
 ./local-ai "$@"

examples/langchain-chroma/query.py

@@ -9,7 +9,7 @@ from langchain.vectorstores.base import VectorStoreRetriever
 base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
 
 # Load and process the text
-embedding = OpenAIEmbeddings()
+embedding = OpenAIEmbeddings(model="text-embedding-ada-002", openai_api_base=base_path)
 persist_directory = 'db'
 
 # Now we can load the persisted database from disk, and use it as normal. 

examples/langchain-chroma/store.py

@@ -18,8 +18,8 @@ texts = text_splitter.split_documents(documents)
 # Supplying a persist_directory will store the embeddings on disk
 persist_directory = 'db'
 
-embedding = OpenAIEmbeddings(model="text-embedding-ada-002")
+embedding = OpenAIEmbeddings(model="text-embedding-ada-002", openai_api_base=base_path)
 vectordb = Chroma.from_documents(documents=texts, embedding=embedding, persist_directory=persist_directory)
 
 vectordb.persist()
-vectordb = None
+vectordb = None

extra/grpc/huggingface/backend_pb2.py

@@ -13,7 +13,7 @@ _sym_db = _symbol_database.Default()
 
 
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rbackend.proto\x12\x07\x62\x61\x63kend\"\x0f\n\rHealthMessage\"\xa4\x05\n\x0ePredictOptions\x12\x0e\n\x06Prompt\x18\x01 \x01(\t\x12\x0c\n\x04Seed\x18\x02 \x01(\x05\x12\x0f\n\x07Threads\x18\x03 \x01(\x05\x12\x0e\n\x06Tokens\x18\x04 \x01(\x05\x12\x0c\n\x04TopK\x18\x05 \x01(\x05\x12\x0e\n\x06Repeat\x18\x06 \x01(\x05\x12\r\n\x05\x42\x61tch\x18\x07 \x01(\x05\x12\r\n\x05NKeep\x18\x08 \x01(\x05\x12\x13\n\x0bTemperature\x18\t \x01(\x02\x12\x0f\n\x07Penalty\x18\n \x01(\x02\x12\r\n\x05\x46\x31\x36KV\x18\x0b \x01(\x08\x12\x11\n\tDebugMode\x18\x0c \x01(\x08\x12\x13\n\x0bStopPrompts\x18\r \x03(\t\x12\x11\n\tIgnoreEOS\x18\x0e \x01(\x08\x12\x19\n\x11TailFreeSamplingZ\x18\x0f \x01(\x02\x12\x10\n\x08TypicalP\x18\x10 \x01(\x02\x12\x18\n\x10\x46requencyPenalty\x18\x11 \x01(\x02\x12\x17\n\x0fPresencePenalty\x18\x12 \x01(\x02\x12\x10\n\x08Mirostat\x18\x13 \x01(\x05\x12\x13\n\x0bMirostatETA\x18\x14 \x01(\x02\x12\x13\n\x0bMirostatTAU\x18\x15 \x01(\x02\x12\x12\n\nPenalizeNL\x18\x16 \x01(\x08\x12\x11\n\tLogitBias\x18\x17 \x01(\t\x12\r\n\x05MLock\x18\x19 \x01(\x08\x12\x0c\n\x04MMap\x18\x1a \x01(\x08\x12\x16\n\x0ePromptCacheAll\x18\x1b \x01(\x08\x12\x15\n\rPromptCacheRO\x18\x1c \x01(\x08\x12\x0f\n\x07Grammar\x18\x1d \x01(\t\x12\x0f\n\x07MainGPU\x18\x1e \x01(\t\x12\x13\n\x0bTensorSplit\x18\x1f \x01(\t\x12\x0c\n\x04TopP\x18  \x01(\x02\x12\x17\n\x0fPromptCachePath\x18! \x01(\t\x12\r\n\x05\x44\x65\x62ug\x18\" \x01(\x08\x12\x17\n\x0f\x45mbeddingTokens\x18# \x03(\x05\x12\x12\n\nEmbeddings\x18$ \x01(\t\"\x18\n\x05Reply\x12\x0f\n\x07message\x18\x01 \x01(\t\"\xac\x02\n\x0cModelOptions\x12\r\n\x05Model\x18\x01 \x01(\t\x12\x13\n\x0b\x43ontextSize\x18\x02 \x01(\x05\x12\x0c\n\x04Seed\x18\x03 \x01(\x05\x12\x0e\n\x06NBatch\x18\x04 \x01(\x05\x12\x11\n\tF16Memory\x18\x05 \x01(\x08\x12\r\n\x05MLock\x18\x06 \x01(\x08\x12\x0c\n\x04MMap\x18\x07 \x01(\x08\x12\x11\n\tVocabOnly\x18\x08 \x01(\x08\x12\x0f\n\x07LowVRAM\x18\t \x01(\x08\x12\x12\n\nEmbeddings\x18\n \x01(\x08\x12\x0c\n\x04NUMA\x18\x0b \x01(\x08\x12\x12\n\nNGPULayers\x18\x0c \x01(\x05\x12\x0f\n\x07MainGPU\x18\r \x01(\t\x12\x13\n\x0bTensorSplit\x18\x0e \x01(\t\x12\x0f\n\x07Threads\x18\x0f \x01(\x05\x12\x19\n\x11LibrarySearchPath\x18\x10 \x01(\t\"*\n\x06Result\x12\x0f\n\x07message\x18\x01 \x01(\t\x12\x0f\n\x07success\x18\x02 \x01(\x08\"%\n\x0f\x45mbeddingResult\x12\x12\n\nembeddings\x18\x01 \x03(\x02\"C\n\x11TranscriptRequest\x12\x0b\n\x03\x64st\x18\x02 \x01(\t\x12\x10\n\x08language\x18\x03 \x01(\t\x12\x0f\n\x07threads\x18\x04 \x01(\r\"N\n\x10TranscriptResult\x12,\n\x08segments\x18\x01 \x03(\x0b\x32\x1a.backend.TranscriptSegment\x12\x0c\n\x04text\x18\x02 \x01(\t\"Y\n\x11TranscriptSegment\x12\n\n\x02id\x18\x01 \x01(\x05\x12\r\n\x05start\x18\x02 \x01(\x03\x12\x0b\n\x03\x65nd\x18\x03 \x01(\x03\x12\x0c\n\x04text\x18\x04 \x01(\t\x12\x0e\n\x06tokens\x18\x05 \x03(\x05\"\x9e\x01\n\x14GenerateImageRequest\x12\x0e\n\x06height\x18\x01 \x01(\x05\x12\r\n\x05width\x18\x02 \x01(\x05\x12\x0c\n\x04mode\x18\x03 \x01(\x05\x12\x0c\n\x04step\x18\x04 \x01(\x05\x12\x0c\n\x04seed\x18\x05 \x01(\x05\x12\x17\n\x0fpositive_prompt\x18\x06 \x01(\t\x12\x17\n\x0fnegative_prompt\x18\x07 \x01(\t\x12\x0b\n\x03\x64st\x18\x08 \x01(\t\"6\n\nTTSRequest\x12\x0c\n\x04text\x18\x01 \x01(\t\x12\r\n\x05model\x18\x02 \x01(\t\x12\x0b\n\x03\x64st\x18\x03 \x01(\t2\xeb\x03\n\x07\x42\x61\x63kend\x12\x32\n\x06Health\x12\x16.backend.HealthMessage\x1a\x0e.backend.Reply\"\x00\x12\x34\n\x07Predict\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x12\x35\n\tLoadModel\x12\x15.backend.ModelOptions\x1a\x0f.backend.Result\"\x00\x12<\n\rPredictStream\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x30\x01\x12@\n\tEmbedding\x12\x17.backend.PredictOptions\x1a\x18.backend.EmbeddingResult\"\x00\x12\x41\n\rGenerateImage\x12\x1d.backend.GenerateImageRequest\x1a\x0f.backend.Result\"\x00\x12M\n\x12\x41udioTranscription\x12\x1a.backend.TranscriptRequest\x1a\x19.backend.TranscriptResult\"\x00\x12-\n\x03TTS\x12\x13.backend.TTSRequest\x1a\x0f.backend.Result\"\x00\x42Z\n\x19io.skynet.localai.backendB\x0eLocalAIBackendP\x01Z+github.com/go-skynet/LocalAI/pkg/grpc/protob\x06proto3')
+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rbackend.proto\x12\x07\x62\x61\x63kend\"\x0f\n\rHealthMessage\"\x86\x06\n\x0ePredictOptions\x12\x0e\n\x06Prompt\x18\x01 \x01(\t\x12\x0c\n\x04Seed\x18\x02 \x01(\x05\x12\x0f\n\x07Threads\x18\x03 \x01(\x05\x12\x0e\n\x06Tokens\x18\x04 \x01(\x05\x12\x0c\n\x04TopK\x18\x05 \x01(\x05\x12\x0e\n\x06Repeat\x18\x06 \x01(\x05\x12\r\n\x05\x42\x61tch\x18\x07 \x01(\x05\x12\r\n\x05NKeep\x18\x08 \x01(\x05\x12\x13\n\x0bTemperature\x18\t \x01(\x02\x12\x0f\n\x07Penalty\x18\n \x01(\x02\x12\r\n\x05\x46\x31\x36KV\x18\x0b \x01(\x08\x12\x11\n\tDebugMode\x18\x0c \x01(\x08\x12\x13\n\x0bStopPrompts\x18\r \x03(\t\x12\x11\n\tIgnoreEOS\x18\x0e \x01(\x08\x12\x19\n\x11TailFreeSamplingZ\x18\x0f \x01(\x02\x12\x10\n\x08TypicalP\x18\x10 \x01(\x02\x12\x18\n\x10\x46requencyPenalty\x18\x11 \x01(\x02\x12\x17\n\x0fPresencePenalty\x18\x12 \x01(\x02\x12\x10\n\x08Mirostat\x18\x13 \x01(\x05\x12\x13\n\x0bMirostatETA\x18\x14 \x01(\x02\x12\x13\n\x0bMirostatTAU\x18\x15 \x01(\x02\x12\x12\n\nPenalizeNL\x18\x16 \x01(\x08\x12\x11\n\tLogitBias\x18\x17 \x01(\t\x12\r\n\x05MLock\x18\x19 \x01(\x08\x12\x0c\n\x04MMap\x18\x1a \x01(\x08\x12\x16\n\x0ePromptCacheAll\x18\x1b \x01(\x08\x12\x15\n\rPromptCacheRO\x18\x1c \x01(\x08\x12\x0f\n\x07Grammar\x18\x1d \x01(\t\x12\x0f\n\x07MainGPU\x18\x1e \x01(\t\x12\x13\n\x0bTensorSplit\x18\x1f \x01(\t\x12\x0c\n\x04TopP\x18  \x01(\x02\x12\x17\n\x0fPromptCachePath\x18! \x01(\t\x12\r\n\x05\x44\x65\x62ug\x18\" \x01(\x08\x12\x17\n\x0f\x45mbeddingTokens\x18# \x03(\x05\x12\x12\n\nEmbeddings\x18$ \x01(\t\x12\x14\n\x0cRopeFreqBase\x18% \x01(\x02\x12\x15\n\rRopeFreqScale\x18& \x01(\x02\x12\x1b\n\x13NegativePromptScale\x18\' \x01(\x02\x12\x16\n\x0eNegativePrompt\x18( \x01(\t\"\x18\n\x05Reply\x12\x0f\n\x07message\x18\x01 \x01(\x0c\"\xd9\x02\n\x0cModelOptions\x12\r\n\x05Model\x18\x01 \x01(\t\x12\x13\n\x0b\x43ontextSize\x18\x02 \x01(\x05\x12\x0c\n\x04Seed\x18\x03 \x01(\x05\x12\x0e\n\x06NBatch\x18\x04 \x01(\x05\x12\x11\n\tF16Memory\x18\x05 \x01(\x08\x12\r\n\x05MLock\x18\x06 \x01(\x08\x12\x0c\n\x04MMap\x18\x07 \x01(\x08\x12\x11\n\tVocabOnly\x18\x08 \x01(\x08\x12\x0f\n\x07LowVRAM\x18\t \x01(\x08\x12\x12\n\nEmbeddings\x18\n \x01(\x08\x12\x0c\n\x04NUMA\x18\x0b \x01(\x08\x12\x12\n\nNGPULayers\x18\x0c \x01(\x05\x12\x0f\n\x07MainGPU\x18\r \x01(\t\x12\x13\n\x0bTensorSplit\x18\x0e \x01(\t\x12\x0f\n\x07Threads\x18\x0f \x01(\x05\x12\x19\n\x11LibrarySearchPath\x18\x10 \x01(\t\x12\x14\n\x0cRopeFreqBase\x18\x11 \x01(\x02\x12\x15\n\rRopeFreqScale\x18\x12 \x01(\x02\"*\n\x06Result\x12\x0f\n\x07message\x18\x01 \x01(\t\x12\x0f\n\x07success\x18\x02 \x01(\x08\"%\n\x0f\x45mbeddingResult\x12\x12\n\nembeddings\x18\x01 \x03(\x02\"C\n\x11TranscriptRequest\x12\x0b\n\x03\x64st\x18\x02 \x01(\t\x12\x10\n\x08language\x18\x03 \x01(\t\x12\x0f\n\x07threads\x18\x04 \x01(\r\"N\n\x10TranscriptResult\x12,\n\x08segments\x18\x01 \x03(\x0b\x32\x1a.backend.TranscriptSegment\x12\x0c\n\x04text\x18\x02 \x01(\t\"Y\n\x11TranscriptSegment\x12\n\n\x02id\x18\x01 \x01(\x05\x12\r\n\x05start\x18\x02 \x01(\x03\x12\x0b\n\x03\x65nd\x18\x03 \x01(\x03\x12\x0c\n\x04text\x18\x04 \x01(\t\x12\x0e\n\x06tokens\x18\x05 \x03(\x05\"\x9e\x01\n\x14GenerateImageRequest\x12\x0e\n\x06height\x18\x01 \x01(\x05\x12\r\n\x05width\x18\x02 \x01(\x05\x12\x0c\n\x04mode\x18\x03 \x01(\x05\x12\x0c\n\x04step\x18\x04 \x01(\x05\x12\x0c\n\x04seed\x18\x05 \x01(\x05\x12\x17\n\x0fpositive_prompt\x18\x06 \x01(\t\x12\x17\n\x0fnegative_prompt\x18\x07 \x01(\t\x12\x0b\n\x03\x64st\x18\x08 \x01(\t\"6\n\nTTSRequest\x12\x0c\n\x04text\x18\x01 \x01(\t\x12\r\n\x05model\x18\x02 \x01(\t\x12\x0b\n\x03\x64st\x18\x03 \x01(\t2\xeb\x03\n\x07\x42\x61\x63kend\x12\x32\n\x06Health\x12\x16.backend.HealthMessage\x1a\x0e.backend.Reply\"\x00\x12\x34\n\x07Predict\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x12\x35\n\tLoadModel\x12\x15.backend.ModelOptions\x1a\x0f.backend.Result\"\x00\x12<\n\rPredictStream\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x30\x01\x12@\n\tEmbedding\x12\x17.backend.PredictOptions\x1a\x18.backend.EmbeddingResult\"\x00\x12\x41\n\rGenerateImage\x12\x1d.backend.GenerateImageRequest\x1a\x0f.backend.Result\"\x00\x12M\n\x12\x41udioTranscription\x12\x1a.backend.TranscriptRequest\x1a\x19.backend.TranscriptResult\"\x00\x12-\n\x03TTS\x12\x13.backend.TTSRequest\x1a\x0f.backend.Result\"\x00\x42Z\n\x19io.skynet.localai.backendB\x0eLocalAIBackendP\x01Z+github.com/go-skynet/LocalAI/pkg/grpc/protob\x06proto3')
 
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -25,25 +25,25 @@ if _descriptor._USE_C_DESCRIPTORS == False:
   _globals['_HEALTHMESSAGE']._serialized_start=26
   _globals['_HEALTHMESSAGE']._serialized_end=41
   _globals['_PREDICTOPTIONS']._serialized_start=44
-  _globals['_PREDICTOPTIONS']._serialized_end=720
-  _globals['_REPLY']._serialized_start=722
-  _globals['_REPLY']._serialized_end=746
-  _globals['_MODELOPTIONS']._serialized_start=749
-  _globals['_MODELOPTIONS']._serialized_end=1049
-  _globals['_RESULT']._serialized_start=1051
-  _globals['_RESULT']._serialized_end=1093
-  _globals['_EMBEDDINGRESULT']._serialized_start=1095
-  _globals['_EMBEDDINGRESULT']._serialized_end=1132
-  _globals['_TRANSCRIPTREQUEST']._serialized_start=1134
-  _globals['_TRANSCRIPTREQUEST']._serialized_end=1201
-  _globals['_TRANSCRIPTRESULT']._serialized_start=1203
-  _globals['_TRANSCRIPTRESULT']._serialized_end=1281
-  _globals['_TRANSCRIPTSEGMENT']._serialized_start=1283
-  _globals['_TRANSCRIPTSEGMENT']._serialized_end=1372
-  _globals['_GENERATEIMAGEREQUEST']._serialized_start=1375
-  _globals['_GENERATEIMAGEREQUEST']._serialized_end=1533
-  _globals['_TTSREQUEST']._serialized_start=1535
-  _globals['_TTSREQUEST']._serialized_end=1589
-  _globals['_BACKEND']._serialized_start=1592
-  _globals['_BACKEND']._serialized_end=2083
+  _globals['_PREDICTOPTIONS']._serialized_end=818
+  _globals['_REPLY']._serialized_start=820
+  _globals['_REPLY']._serialized_end=844
+  _globals['_MODELOPTIONS']._serialized_start=847
+  _globals['_MODELOPTIONS']._serialized_end=1192
+  _globals['_RESULT']._serialized_start=1194
+  _globals['_RESULT']._serialized_end=1236
+  _globals['_EMBEDDINGRESULT']._serialized_start=1238
+  _globals['_EMBEDDINGRESULT']._serialized_end=1275
+  _globals['_TRANSCRIPTREQUEST']._serialized_start=1277
+  _globals['_TRANSCRIPTREQUEST']._serialized_end=1344
+  _globals['_TRANSCRIPTRESULT']._serialized_start=1346
+  _globals['_TRANSCRIPTRESULT']._serialized_end=1424
+  _globals['_TRANSCRIPTSEGMENT']._serialized_start=1426
+  _globals['_TRANSCRIPTSEGMENT']._serialized_end=1515
+  _globals['_GENERATEIMAGEREQUEST']._serialized_start=1518
+  _globals['_GENERATEIMAGEREQUEST']._serialized_end=1676
+  _globals['_TTSREQUEST']._serialized_start=1678
+  _globals['_TTSREQUEST']._serialized_end=1732
+  _globals['_BACKEND']._serialized_start=1735
+  _globals['_BACKEND']._serialized_end=2226
 # @@protoc_insertion_point(module_scope)

extra/grpc/huggingface/huggingface.py

@@ -15,7 +15,7 @@ _ONE_DAY_IN_SECONDS = 60 * 60 * 24
 # Implement the BackendServicer class with the service methods
 class BackendServicer(backend_pb2_grpc.BackendServicer):
     def Health(self, request, context):
-        return backend_pb2.Reply(message="OK")
+        return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
     def LoadModel(self, request, context):
         model_name = request.Model
         model_name = os.path.basename(model_name)

go.mod

@@ -3,13 +3,13 @@ module github.com/go-skynet/LocalAI
 go 1.20
 
 require (
-	github.com/donomii/go-rwkv.cpp v0.0.0-20230619005719-f5a8c4539674
+	github.com/donomii/go-rwkv.cpp v0.0.0-20230715075832-c898cd0f62df
 	github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230628193450-85ed71aaec8e
 	github.com/go-audio/wav v1.1.0
 	github.com/go-skynet/bloomz.cpp v0.0.0-20230529155654-1834e77b83fa
 	github.com/go-skynet/go-bert.cpp v0.0.0-20230716133540-6abe312cded1
 	github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230714203132-ffb09d7dd71e
-	github.com/go-skynet/go-llama.cpp v0.0.0-20230709163512-6c97625cca76
+	github.com/go-skynet/go-llama.cpp v0.0.0-20230727163958-6ba16de8e965
 	github.com/gofiber/fiber/v2 v2.48.0
 	github.com/google/uuid v1.3.0
 	github.com/hashicorp/go-multierror v1.1.1
@@ -20,17 +20,17 @@ require (
 	github.com/mudler/go-ggllm.cpp v0.0.0-20230709223052-862477d16eef
 	github.com/mudler/go-processmanager v0.0.0-20220724164624-c45b5c61312d
 	github.com/mudler/go-stable-diffusion v0.0.0-20230605122230-d89260f598af
-	github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230714185456-cfd70b69fcf5
+	github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230727161923-39acbc837816
 	github.com/onsi/ginkgo/v2 v2.11.0
-	github.com/onsi/gomega v1.27.8
+	github.com/onsi/gomega v1.27.10
 	github.com/otiai10/openaigo v1.5.2
 	github.com/phayes/freeport v0.0.0-20220201140144-74d24b5ae9f5
 	github.com/rs/zerolog v1.29.1
-	github.com/sashabaranov/go-openai v1.14.0
-	github.com/tmc/langchaingo v0.0.0-20230713201705-dcf7ecdc8ac8
+	github.com/sashabaranov/go-openai v1.14.1
+	github.com/tmc/langchaingo v0.0.0-20230726025230-7d5f9fd5e90a
 	github.com/urfave/cli/v2 v2.25.7
 	github.com/valyala/fasthttp v1.48.0
-	google.golang.org/grpc v1.56.2
+	google.golang.org/grpc v1.57.0
 	google.golang.org/protobuf v1.31.0
 	gopkg.in/yaml.v2 v2.4.0
 	gopkg.in/yaml.v3 v3.0.1
@@ -39,7 +39,6 @@ require (
 require (
 	github.com/dlclark/regexp2 v1.8.1 // indirect
 	github.com/dsnet/compress v0.0.2-0.20210315054119-f66993602bf5 // indirect
-	github.com/go-skynet/go-llama.cpp-grammar v0.0.0-20230703203849-ffa57fbc3a12 // indirect
 	github.com/golang/protobuf v1.5.3 // indirect
 	github.com/golang/snappy v0.0.2 // indirect
 	github.com/klauspost/pgzip v1.2.5 // indirect
@@ -51,7 +50,8 @@ require (
 	github.com/pkoukk/tiktoken-go v0.1.2 // indirect
 	github.com/ulikunitz/xz v0.5.9 // indirect
 	github.com/xi2/xz v0.0.0-20171230120015-48954b6210f8 // indirect
-	google.golang.org/genproto v0.0.0-20230410155749-daa745c078e1 // indirect
+	google.golang.org/genproto v0.0.0-20230526161137-0005af68ea54 // indirect
+	google.golang.org/genproto/googleapis/rpc v0.0.0-20230525234030-28d5490b6b19 // indirect
 	gopkg.in/check.v1 v1.0.0-20201130134442-10cb98267c6c // indirect
 	gopkg.in/fsnotify.v1 v1.4.7 // indirect
 	gopkg.in/tomb.v1 v1.0.0-20141024135613-dd632973f1e7 // indirect
@@ -72,17 +72,13 @@ require (
 	github.com/mattn/go-isatty v0.0.19 // indirect
 	github.com/mattn/go-runewidth v0.0.14 // indirect
 	github.com/mudler/go-piper v0.0.0-20230621222733-56b8a81b4760
-	github.com/philhofer/fwd v1.1.2 // indirect
 	github.com/rivo/uniseg v0.2.0 // indirect
 	github.com/russross/blackfriday/v2 v2.1.0 // indirect
-	github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 // indirect
-	github.com/savsgio/gotils v0.0.0-20230208104028-c358bd845dee // indirect
-	github.com/tinylib/msgp v1.1.8 // indirect
 	github.com/valyala/bytebufferpool v1.0.0 // indirect
 	github.com/valyala/tcplisten v1.0.0 // indirect
 	github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673 // indirect
-	golang.org/x/net v0.10.0 // indirect
+	golang.org/x/net v0.12.0 // indirect
 	golang.org/x/sys v0.10.0 // indirect
-	golang.org/x/text v0.9.0 // indirect
+	golang.org/x/text v0.11.0 // indirect
 	golang.org/x/tools v0.9.3 // indirect
 )

go.sum

@@ -15,6 +15,8 @@ github.com/dlclark/regexp2 v1.8.1 h1:6Lcdwya6GjPUNsBct8Lg/yRPwMhABj269AAzdGSiR+0
 github.com/dlclark/regexp2 v1.8.1/go.mod h1:DHkYz0B9wPfa6wondMfaivmHpzrQ3v9q8cnmRbL6yW8=
 github.com/donomii/go-rwkv.cpp v0.0.0-20230619005719-f5a8c4539674 h1:G70Yf/QOCEL1v24idWnGd6rJsbqiGkJAJnMaWaolzEg=
 github.com/donomii/go-rwkv.cpp v0.0.0-20230619005719-f5a8c4539674/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230715075832-c898cd0f62df h1:qVcBEZlvp5A1gGWNJj02xyDtbsUI2hohlQMSB1fgER4=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230715075832-c898cd0f62df/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
 github.com/dsnet/compress v0.0.2-0.20210315054119-f66993602bf5 h1:iFaUwBSo5Svw6L7HYpRu/0lE3e0BaElwnNO1qkNQxBY=
 github.com/dsnet/compress v0.0.2-0.20210315054119-f66993602bf5/go.mod h1:qssHWj60/X5sZFNxpG4HBPDHVqxNm4DfnCKgrbZOT+s=
 github.com/dsnet/golib v0.0.0-20171103203638-1ea166775780/go.mod h1:Lj+Z9rebOhdfkVLjJ8T6VcRQv3SXugXy999NBtR9aFY=
@@ -33,24 +35,20 @@ github.com/go-logr/logr v1.2.4 h1:g01GSCwiDw2xSZfjJ2/T9M+S6pFdcNtFYsp+Y43HYDQ=
 github.com/go-logr/logr v1.2.4/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A=
 github.com/go-skynet/bloomz.cpp v0.0.0-20230529155654-1834e77b83fa h1:gxr68r/6EWroay4iI81jxqGCDbKotY4+CiwdUkBz2NQ=
 github.com/go-skynet/bloomz.cpp v0.0.0-20230529155654-1834e77b83fa/go.mod h1:wc0fJ9V04yiYTfgKvE5RUUSRQ5Kzi0Bo4I+U3nNOUuA=
-github.com/go-skynet/go-bert.cpp v0.0.0-20230607105116-6069103f54b9 h1:wRGbDwNwPmSzoXVw/HLzXY4blpRvPWg7QW2OA0WKezA=
-github.com/go-skynet/go-bert.cpp v0.0.0-20230607105116-6069103f54b9/go.mod h1:pXKCpYYXujMeAvgJHU6WoMfvYbr84563+J8+Ebkyr5U=
 github.com/go-skynet/go-bert.cpp v0.0.0-20230716133540-6abe312cded1 h1:yXvc7QfGtoZ51tUW/YVjoTwAfh8HG88XU7UOrbNlz5Y=
 github.com/go-skynet/go-bert.cpp v0.0.0-20230716133540-6abe312cded1/go.mod h1:fYjkCDRzC+oRLHSjQoajmYK6AmeJnmEanV27CClAcDc=
-github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230630204211-3fec197a1dc4 h1:LScGc8yWTS9wbS2RTOq6s+waeHElLIQDJg2SUCwrO3E=
-github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230630204211-3fec197a1dc4/go.mod h1:31j1odgFXP8hDSUVfH0zErKI5aYVP18ddYnPkwCso2A=
 github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230714203132-ffb09d7dd71e h1:4reMY29i1eOZaRaSTMPNyXI7X8RMNxCTfDDBXYzrbr0=
 github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230714203132-ffb09d7dd71e/go.mod h1:31j1odgFXP8hDSUVfH0zErKI5aYVP18ddYnPkwCso2A=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230703203849-ffa57fbc3a12 h1:cfGZiZana0gPD0i8nmyOGTUQGb4N8PYqaBqhhukREPc=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230703203849-ffa57fbc3a12/go.mod h1:tzi97YvT1bVQ+iTG39LvpDkKG1WbizgtljC+orSoM40=
 github.com/go-skynet/go-llama.cpp v0.0.0-20230709163512-6c97625cca76 h1:NRdxo2MKi8qhWZXxu6CIZOkdH+LBERFz1kk22U1FD3k=
 github.com/go-skynet/go-llama.cpp v0.0.0-20230709163512-6c97625cca76/go.mod h1:tzi97YvT1bVQ+iTG39LvpDkKG1WbizgtljC+orSoM40=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230724222459-562d2b5a7119 h1:FeUSk5yMHT7J7jeCQKAOs4x5LRNSYH0SR6djM/i1jcc=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230724222459-562d2b5a7119/go.mod h1:fiJBto+Le1XLtD/cID5SAKs8cKE7wFXJKfTT3wvPQRA=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230727163958-6ba16de8e965 h1:2MO/rABKpkXnnKQ3Ar90aqhnlMEejE9gnKG6bafv+ow=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230727163958-6ba16de8e965/go.mod h1:fiJBto+Le1XLtD/cID5SAKs8cKE7wFXJKfTT3wvPQRA=
 github.com/go-task/slim-sprig v0.0.0-20210107165309-348f09dbbbc0/go.mod h1:fyg7847qk6SyHyPtNmDHnmrv/HOrqktSC+C9fM+CJOE=
 github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 h1:tfuBGBXKqDEevZMzYi5KSi8KkcZtzBcTgAUUtapy0OI=
 github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572/go.mod h1:9Pwr4B2jHnOSGXyyzV8ROjYa2ojvAY6HCGYYfMoC3Ls=
 github.com/godbus/dbus/v5 v5.0.4/go.mod h1:xhWf0FNVPg57R7Z0UbKHbJfkEywrmjJnf7w5xrFpKfA=
-github.com/gofiber/fiber/v2 v2.47.0 h1:EN5lHVCc+Pyqh5OEsk8fzRiifgwpbrP0rulQ4iNf3fs=
-github.com/gofiber/fiber/v2 v2.47.0/go.mod h1:mbFMVN1lQuzziTkkakgtKKdjfsXSw9BKR5lmcNksUoU=
 github.com/gofiber/fiber/v2 v2.48.0 h1:cRVMCb9aUJDsyHxGFLwz/sGzDggdailZZyptU9F9cU0=
 github.com/gofiber/fiber/v2 v2.48.0/go.mod h1:xqJgfqrc23FJuqGOW6DVgi3HyZEm2Mn9pRqUb2kHSX8=
 github.com/golang/protobuf v1.2.0/go.mod h1:6lQm79b+lXiMfvg/cZm0SGofjICqVBUtrP5yJMmIC1U=
@@ -116,8 +114,6 @@ github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421 h1:ZqeYNhU3OH
 github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q=
 github.com/modern-go/reflect2 v1.0.2 h1:xBagoLtFs94CBntxluKeaWgTMpvLxC4ur3nMaC9Gz0M=
 github.com/modern-go/reflect2 v1.0.2/go.mod h1:yWuevngMOJpCy52FWWMvUC8ws7m/LJsjYzDa0/r8luk=
-github.com/mudler/go-ggllm.cpp v0.0.0-20230708215552-a6504d5bc137 h1:d+XGcCrw65q6KDUbF2wZBPVZ7i7kU6I7fKSX+UwzP7w=
-github.com/mudler/go-ggllm.cpp v0.0.0-20230708215552-a6504d5bc137/go.mod h1:00giAi/vwF8LX29JBjkPQhtASsivPnGNzB6sdmk8JGE=
 github.com/mudler/go-ggllm.cpp v0.0.0-20230709223052-862477d16eef h1:OJZtJ5vYhlkTJI0RHIl62kOkhiINQEhZgsXlwmmNDhM=
 github.com/mudler/go-ggllm.cpp v0.0.0-20230709223052-862477d16eef/go.mod h1:00giAi/vwF8LX29JBjkPQhtASsivPnGNzB6sdmk8JGE=
 github.com/mudler/go-piper v0.0.0-20230621222733-56b8a81b4760 h1:OFVkSxR7CRSRSNm5dvpMRZwmSwWa8EMMnHbc84fW5tU=
@@ -126,10 +122,12 @@ github.com/mudler/go-processmanager v0.0.0-20220724164624-c45b5c61312d h1:/lAg9v
 github.com/mudler/go-processmanager v0.0.0-20220724164624-c45b5c61312d/go.mod h1:HGGAOJhipApckwNV8ZTliRJqxctUv3xRY+zbQEwuytc=
 github.com/mudler/go-stable-diffusion v0.0.0-20230605122230-d89260f598af h1:XFq6OUqsWQam0OrEr05okXsJK/TQur3zoZTHbiZD3Ks=
 github.com/mudler/go-stable-diffusion v0.0.0-20230605122230-d89260f598af/go.mod h1:8ufRkpz/S/9ahkaxzZ5i4WMgO9w4InEhuRoT7vK5Rnw=
-github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230708212935-d611d107479f h1:FtXRIjsBvoBQ5xmA26QbzyG4RjV2U5lOpUgP4npITOM=
-github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230708212935-d611d107479f/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
 github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230714185456-cfd70b69fcf5 h1:bmQnxyKiqCu8i2y/N/Sf0coWoG2/Ed12YGQeb7lTnjo=
 github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230714185456-cfd70b69fcf5/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230725212419-9100b2ef6fb9 h1:/oRwZhulKTU8LpPD2fXi2o2kdlTutQjYWDVMkrv14po=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230725212419-9100b2ef6fb9/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230727161923-39acbc837816 h1:hRi7hpDUuaO0dB4NZ8eyaeD2fRar6CPyNAARsO5DhzA=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230727161923-39acbc837816/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
 github.com/nwaples/rardecode v1.1.0 h1:vSxaY8vQhOcVr4mm5e8XllHWTiM4JF507A0Katqw7MQ=
 github.com/nwaples/rardecode v1.1.0/go.mod h1:5DzqNKiOdpKKBH87u8VlvAnPZMXcGRhxWkRpHbbfGS0=
 github.com/nxadm/tail v1.4.4/go.mod h1:kenIhsEOeOJmVchQTgglprH7qJGnHDVpk1VPCcaMI8A=
@@ -146,14 +144,13 @@ github.com/onsi/gomega v1.10.1/go.mod h1:iN09h71vgCQne3DLsj+A5owkum+a2tYe+TOCB1y
 github.com/onsi/gomega v1.16.0/go.mod h1:HnhC7FXeEQY45zxNK3PPoIUhzk/80Xly9PcubAlGdZY=
 github.com/onsi/gomega v1.27.8 h1:gegWiwZjBsf2DgiSbf5hpokZ98JVDMcWkUiigk6/KXc=
 github.com/onsi/gomega v1.27.8/go.mod h1:2J8vzI/s+2shY9XHRApDkdgPo1TKT7P2u6fXeJKFnNQ=
+github.com/onsi/gomega v1.27.10 h1:naR28SdDFlqrG6kScpT8VWpu1xWY5nJRCF3XaYyBjhI=
+github.com/onsi/gomega v1.27.10/go.mod h1:RsS8tutOdbdgzbPtzzATp12yT7kM5I5aElG3evPbQ0M=
 github.com/otiai10/mint v1.6.1 h1:kgbTJmOpp/0ce7hk3H8jiSuR0MXmpwWRfqUdKww17qg=
 github.com/otiai10/openaigo v1.5.2 h1:YnNDisZmA4syArF3IxMCIrfgZOq30PLV219gPY7n2z8=
 github.com/otiai10/openaigo v1.5.2/go.mod h1:kIaXc3V+Xy5JLplcBxehVyGYDtufHp3PFPy04jOwOAI=
 github.com/phayes/freeport v0.0.0-20220201140144-74d24b5ae9f5 h1:Ii+DKncOVM8Cu1Hc+ETb5K+23HdAMvESYE3ZJ5b5cMI=
 github.com/phayes/freeport v0.0.0-20220201140144-74d24b5ae9f5/go.mod h1:iIss55rKnNBTvrwdmkUpLnDpZoAHvWaiq5+iMmen4AE=
-github.com/philhofer/fwd v1.1.1/go.mod h1:gk3iGcWd9+svBvR0sR+KPcfE+RNWozjowpeBVG3ZVNU=
-github.com/philhofer/fwd v1.1.2 h1:bnDivRJ1EWPjUIRXV5KfORO897HTbpFAQddBdE8t7Gw=
-github.com/philhofer/fwd v1.1.2/go.mod h1:qkPdfjR2SIEbspLqpe1tO4n5yICnr2DY7mqEx2tUTP0=
 github.com/pierrec/lz4/v4 v4.1.2 h1:qvY3YFXRQE/XB8MlLzJH7mSzBs74eA2gg52YTk6jUPM=
 github.com/pierrec/lz4/v4 v4.1.2/go.mod h1:gZWDp/Ze/IJXGXf23ltt2EXimqmTUXEy0GFuRQyBid4=
 github.com/pkg/errors v0.9.1/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINEl0=
@@ -168,27 +165,19 @@ github.com/rs/zerolog v1.29.1 h1:cO+d60CHkknCbvzEWxP0S9K6KqyTjrCNUy1LdQLCGPc=
 github.com/rs/zerolog v1.29.1/go.mod h1:Le6ESbR7hc+DP6Lt1THiV8CQSdkkNrd3R0XbEgp3ZBU=
 github.com/russross/blackfriday/v2 v2.1.0 h1:JIOH55/0cWyOuilr9/qlrm0BSXldqnqwMsf35Ld67mk=
 github.com/russross/blackfriday/v2 v2.1.0/go.mod h1:+Rmxgy9KzJVeS9/2gXHxylqXiyQDYRxCVz55jmeOWTM=
-github.com/sashabaranov/go-openai v1.13.0 h1:EAusFfnhaMaaUspUZ2+MbB/ZcVeD4epJmTOlZ+8AcAE=
-github.com/sashabaranov/go-openai v1.13.0/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
 github.com/sashabaranov/go-openai v1.14.0 h1:D1yAB+DHElgbJFdYyjxfTWMFzhddn+PwZmkQ039L7mQ=
 github.com/sashabaranov/go-openai v1.14.0/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
-github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 h1:rmMl4fXJhKMNWl+K+r/fq4FbbKI+Ia2m9hYBLm2h4G4=
-github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94/go.mod h1:90zrgN3D/WJsDd1iXHT96alCoN2KJo6/4x1DZC3wZs8=
-github.com/savsgio/gotils v0.0.0-20220530130905-52f3993e8d6d/go.mod h1:Gy+0tqhJvgGlqnTF8CVGP0AaGRjwBtXs/a5PA0Y3+A4=
-github.com/savsgio/gotils v0.0.0-20230208104028-c358bd845dee h1:8Iv5m6xEo1NR1AvpV+7XmhI4r39LGNzwUL4YpMuL5vk=
-github.com/savsgio/gotils v0.0.0-20230208104028-c358bd845dee/go.mod h1:qwtSXrKuJh/zsFQ12yEE89xfCrGKK63Rr7ctU/uCo4g=
+github.com/sashabaranov/go-openai v1.14.1 h1:jqfkdj8XHnBF84oi2aNtT8Ktp3EJ0MfuVjvcMkfI0LA=
+github.com/sashabaranov/go-openai v1.14.1/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
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-github.com/tinylib/msgp v1.1.6/go.mod h1:75BAfg2hauQhs3qedfdDZmWAPcFMAvJE5b9rGOMufyw=
-github.com/tinylib/msgp v1.1.8 h1:FCXC1xanKO4I8plpHGH2P7koL/RzZs12l/+r7vakfm0=
-github.com/tinylib/msgp v1.1.8/go.mod h1:qkpG+2ldGg4xRFmx+jfTvZPxfGFhi64BcnL9vkCm/Tw=
-github.com/tmc/langchaingo v0.0.0-20230709010448-a875e6bc0c54 h1:MZSC3/pdBzkoPG49uTRvtEepOQKdbdgaT1aLtaEwxx4=
-github.com/tmc/langchaingo v0.0.0-20230709010448-a875e6bc0c54/go.mod h1:RsMJqgUynOtr2jWNhUF41R3j6SDkKq9c8UfE0nJYBb4=
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 github.com/tmc/langchaingo v0.0.0-20230713201705-dcf7ecdc8ac8/go.mod h1:mTzgQfAGwmBz2hhQELZfu2bwsbHwyKHA6IHOa+9LDFg=
+github.com/tmc/langchaingo v0.0.0-20230726025230-7d5f9fd5e90a h1:I/2JSuYXkWaVVLSZmrPfrgbvvvPR0IaulZcB0Iu8oVI=
+github.com/tmc/langchaingo v0.0.0-20230726025230-7d5f9fd5e90a/go.mod h1:8T+nNIGBr3nYQEYFmF/YaT8t8YTKLvFYZBuVZOAYn5E=
 github.com/ulikunitz/xz v0.5.8/go.mod h1:nbz6k7qbPmH4IRqmfOplQw/tblSgqTqBwxkY0oWt/14=
 github.com/ulikunitz/xz v0.5.9 h1:RsKRIA2MO8x56wkkcd3LbtcE/uMszhb6DpRf+3uwa3I=
 github.com/ulikunitz/xz v0.5.9/go.mod h1:nbz6k7qbPmH4IRqmfOplQw/tblSgqTqBwxkY0oWt/14=
@@ -205,31 +194,24 @@ github.com/xi2/xz v0.0.0-20171230120015-48954b6210f8/go.mod h1:HUYIGzjTL3rfEspMx
 github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673 h1:bAn7/zixMGCfxrRTfdpNzjtPYqr8smhKouy9mxVdGPU=
 github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673/go.mod h1:N3UwUGtsrSj3ccvlPHLoLsHnpR27oXr4ZE984MbSER8=
 github.com/yuin/goldmark v1.2.1/go.mod h1:3hX8gzYuyVAZsxl0MRgGTJEmQBFcNTphYh9decYSb74=
-github.com/yuin/goldmark v1.4.13/go.mod h1:6yULJ656Px+3vBD8DxQVa3kxgyrAnzto9xy5taEt/CY=
 golang.org/x/crypto v0.0.0-20190308221718-c2843e01d9a2/go.mod h1:djNgcEr1/C05ACkg1iLfiJU5Ep61QUkGW8qpdssI0+w=
 golang.org/x/crypto v0.0.0-20191011191535-87dc89f01550/go.mod h1:yigFU9vqHzYiE8UmvKecakEJjdnWj3jj499lnFckfCI=
 golang.org/x/crypto v0.0.0-20200622213623-75b288015ac9/go.mod h1:LzIPMQfyMNhhGPhUkYOs5KpL4U8rLKemX1yGLhDgUto=
-golang.org/x/crypto v0.0.0-20210921155107-089bfa567519/go.mod h1:GvvjBRRGRdwPK5ydBHafDWAxML/pGHZbMvKqRZ5+Abc=
 golang.org/x/mod v0.3.0/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA=
-golang.org/x/mod v0.6.0-dev.0.20220419223038-86c51ed26bb4/go.mod h1:jJ57K6gSWd91VN4djpZkiMVwK6gcyfeH4XE8wZrZaV4=
-golang.org/x/mod v0.7.0/go.mod h1:iBbtSCu2XBx23ZKBPSOrRkjjQPZFPuis4dIYUhu/chs=
 golang.org/x/mod v0.10.0 h1:lFO9qtOdlre5W1jxS3r/4szv2/6iXxScdzjoBMXNhYk=
 golang.org/x/net v0.0.0-20180906233101-161cd47e91fd/go.mod h1:mL1N/T3taQHkDXs73rZJwtUhF3w3ftmwwsq0BUmARs4=
 golang.org/x/net v0.0.0-20190404232315-eb5bcb51f2a3/go.mod h1:t9HGtf8HONx5eT2rtn7q6eTqICYqUVnKs3thJo3Qplg=
 golang.org/x/net v0.0.0-20190620200207-3b0461eec859/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
 golang.org/x/net v0.0.0-20200520004742-59133d7f0dd7/go.mod h1:qpuaurCH72eLCgpAm/N6yyVIVM9cpaDIP3A8BGJEC5A=
 golang.org/x/net v0.0.0-20201021035429-f5854403a974/go.mod h1:sp8m0HH+o8qH0wwXwYZr8TS3Oi6o0r6Gce1SSxlDquU=
-golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=
 golang.org/x/net v0.0.0-20210428140749-89ef3d95e781/go.mod h1:OJAsFXCWl8Ukc7SiCT/9KSuxbyM7479/AVlXFRxuMCk=
-golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug+ECip1KBveYUHfp+8e9klMJ9c=
-golang.org/x/net v0.3.0/go.mod h1:MBQ8lrhLObU/6UmLb4fmbmk5OcyYmqtbGd/9yIeKjEE=
 golang.org/x/net v0.10.0 h1:X2//UzNDwYmtCLn7To6G58Wr6f5ahEAQgKNzv9Y951M=
 golang.org/x/net v0.10.0/go.mod h1:0qNGK6F8kojg2nk9dLZ2mShWaEBan6FAoqfSigmmuDg=
+golang.org/x/net v0.12.0 h1:cfawfvKITfUsFCeJIHJrbSxpeu/E81khclypR0GVT50=
+golang.org/x/net v0.12.0/go.mod h1:zEVYFnQC7m/vmpQFELhcD1EWkZlX69l4oqgmer6hfKA=
 golang.org/x/sync v0.0.0-20180314180146-1d60e4601c6f/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20201020160332-67f06af15bc9/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
-golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
-golang.org/x/sync v0.1.0/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sys v0.0.0-20180909124046-d0be0721c37e/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
 golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
 golang.org/x/sys v0.0.0-20190412213103-97732733099d/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
@@ -242,34 +224,23 @@ golang.org/x/sys v0.0.0-20200930185726-fdedc70b468f/go.mod h1:h1NjWce9XRLGQEsW7w
 golang.org/x/sys v0.0.0-20201119102817-f84b799fce68/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20210112080510-489259a85091/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20210423082822-04245dca01da/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
-golang.org/x/sys v0.0.0-20210615035016-665e8c7367d1/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.0.0-20210630005230-0f9fa26af87c/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.0.0-20210927094055-39ccf1dd6fa6/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
-golang.org/x/sys v0.0.0-20220520151302-bc2c85ada10a/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
-golang.org/x/sys v0.0.0-20220722155257-8c9f86f7a55f/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.0.0-20220811171246-fbc7d0a398ab/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
-golang.org/x/sys v0.3.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
-golang.org/x/sys v0.9.0 h1:KS/R3tvhPqvJvwcKfnBHJwwthS11LRhmM5D59eEXa0s=
-golang.org/x/sys v0.9.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.10.0 h1:SqMFp9UcQJZa+pmYuAKjd9xq1f0j5rLcDIk0mj4qAsA=
 golang.org/x/sys v0.10.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo=
-golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8=
-golang.org/x/term v0.3.0/go.mod h1:q750SLmJuPmVoN1blW3UFBPREJfb1KmY3vwxfr+nFDA=
 golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ=
 golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
 golang.org/x/text v0.3.6/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
-golang.org/x/text v0.3.7/go.mod h1:u+2+/6zg+i71rQMx5EYifcz6MCKuco9NR6JIITiCfzQ=
-golang.org/x/text v0.5.0/go.mod h1:mrYo+phRRbMaCq/xk9113O4dZlRixOauAjOtrjsXDZ8=
 golang.org/x/text v0.9.0 h1:2sjJmO8cDvYveuX97RDLsxlyUxLl+GHoLxBiRdHllBE=
 golang.org/x/text v0.9.0/go.mod h1:e1OnstbJyHTd6l/uOt8jFFHp6TRDWZR/bV3emEE/zU8=
+golang.org/x/text v0.11.0 h1:LAntKIrcmeSKERyiOh0XMV39LXS8IE9UL2yP7+f5ij4=
+golang.org/x/text v0.11.0/go.mod h1:TvPlkZtksWOMsz7fbANvkp4WM8x/WCo/om8BMLbz+aE=
 golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
 golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtnZ6UAqBI28+e2cm9otk0dWdXHAEo=
-golang.org/x/tools v0.0.0-20201022035929-9cf592e881e9/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA=
 golang.org/x/tools v0.0.0-20201224043029-2b0845dc783e/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA=
-golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc=
-golang.org/x/tools v0.4.0/go.mod h1:UE5sM2OK9E/d67R0ANs2xJizIymRP5gJU295PvKXxjQ=
 golang.org/x/tools v0.9.3 h1:Gn1I8+64MsuTb/HpH+LmQtNas23LhUVr3rYZ0eKuaMM=
 golang.org/x/tools v0.9.3/go.mod h1:owI94Op576fPu3cIGQeHs3joujW/2Oc6MtlxbF5dfNc=
 golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
@@ -278,8 +249,14 @@ golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543/go.mod h1:I/5z698sn9Ka8T
 golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 google.golang.org/genproto v0.0.0-20230410155749-daa745c078e1 h1:KpwkzHKEF7B9Zxg18WzOa7djJ+Ha5DzthMyZYQfEn2A=
 google.golang.org/genproto v0.0.0-20230410155749-daa745c078e1/go.mod h1:nKE/iIaLqn2bQwXBg8f1g2Ylh6r5MN5CmZvuzZCgsCU=
+google.golang.org/genproto v0.0.0-20230526161137-0005af68ea54 h1:9NWlQfY2ePejTmfwUH1OWwmznFa+0kKcHGPDvcPza9M=
+google.golang.org/genproto v0.0.0-20230526161137-0005af68ea54/go.mod h1:zqTuNwFlFRsw5zIts5VnzLQxSRqh+CGOTVMlYbY0Eyk=
+google.golang.org/genproto/googleapis/rpc v0.0.0-20230525234030-28d5490b6b19 h1:0nDDozoAU19Qb2HwhXadU8OcsiO/09cnTqhUtq2MEOM=
+google.golang.org/genproto/googleapis/rpc v0.0.0-20230525234030-28d5490b6b19/go.mod h1:66JfowdXAEgad5O9NnYcsNPLCPZJD++2L9X0PCMODrA=
 google.golang.org/grpc v1.56.2 h1:fVRFRnXvU+x6C4IlHZewvJOVHoOv1TUuQyoRsYnB4bI=
 google.golang.org/grpc v1.56.2/go.mod h1:I9bI3vqKfayGqPUAwGdOSu7kt6oIJLixfffKrpXqQ9s=
+google.golang.org/grpc v1.57.0 h1:kfzNeI/klCGD2YPMUlaGNT3pxvYfga7smW3Vth8Zsiw=
+google.golang.org/grpc v1.57.0/go.mod h1:Sd+9RMTACXwmub0zcNY2c4arhtrbBYD1AUHI/dt16Mo=
 google.golang.org/protobuf v0.0.0-20200109180630-ec00e32a8dfd/go.mod h1:DFci5gLYBciE7Vtevhsrf46CRTquxDuWsQurQQe4oz8=
 google.golang.org/protobuf v0.0.0-20200221191635-4d8936d0db64/go.mod h1:kwYJMbMJ01Woi6D6+Kah6886xMZcty6N08ah7+eCXa0=
 google.golang.org/protobuf v0.0.0-20200228230310-ab0ca4ff8a60/go.mod h1:cfTl7dwQJ+fmap5saPgwCLgHXTUD7jkjRqWcaiX5VyM=
@@ -288,8 +265,6 @@ google.golang.org/protobuf v1.21.0/go.mod h1:47Nbq4nVaFHyn7ilMalzfO3qCViNmqZ2kzi
 google.golang.org/protobuf v1.23.0/go.mod h1:EGpADcykh3NcUnDUJcl1+ZksZNG86OlYog2l/sGQquU=
 google.golang.org/protobuf v1.26.0-rc.1/go.mod h1:jlhhOSvTdKEhbULTjvd4ARK9grFBp09yW+WbY/TyQbw=
 google.golang.org/protobuf v1.26.0/go.mod h1:9q0QmTI4eRPtz6boOQmLYwt+qCgq0jsYwAQnmE0givc=
-google.golang.org/protobuf v1.30.0 h1:kPPoIgf3TsEvrm0PFe15JQ+570QVxYzEvvHqChK+cng=
-google.golang.org/protobuf v1.30.0/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I=
 google.golang.org/protobuf v1.31.0 h1:g0LDEJHgrBl9N9r17Ru3sqWhkIx2NB67okBHPwC7hs8=
 google.golang.org/protobuf v1.31.0/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I=
 gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=

pkg/grpc/client.go

@@ -42,7 +42,7 @@ func (c *Client) HealthCheck(ctx context.Context) bool {
 		return false
 	}
 
-	if res.Message == "OK" {
+	if string(res.Message) == "OK" {
 		return true
 	}
 	return false
@@ -80,7 +80,7 @@ func (c *Client) LoadModel(ctx context.Context, in *pb.ModelOptions, opts ...grp
 	return client.LoadModel(ctx, in, opts...)
 }
 
-func (c *Client) PredictStream(ctx context.Context, in *pb.PredictOptions, f func(s string), opts ...grpc.CallOption) error {
+func (c *Client) PredictStream(ctx context.Context, in *pb.PredictOptions, f func(s []byte), opts ...grpc.CallOption) error {
 	conn, err := grpc.Dial(c.address, grpc.WithTransportCredentials(insecure.NewCredentials()))
 	if err != nil {
 		return err

pkg/grpc/interface.go

@@ -14,3 +14,7 @@ type LLM interface {
 	AudioTranscription(*pb.TranscriptRequest) (api.Result, error)
 	TTS(*pb.TTSRequest) error
 }
+
+func newReply(s string) *pb.Reply {
+	return &pb.Reply{Message: []byte(s)}
+}

pkg/grpc/llm/llama-grammar/llama.go

@@ -1,170 +0,0 @@
-package llama
-
-// This is a wrapper to statisfy the GRPC service interface
-// It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
-import (
-	"fmt"
-
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	"github.com/go-skynet/go-llama.cpp-grammar"
-)
-
-type LLM struct {
-	base.Base
-
-	llama *llama.LLama
-}
-
-func (llm *LLM) Load(opts *pb.ModelOptions) error {
-	llamaOpts := []llama.ModelOption{}
-
-	if opts.ContextSize != 0 {
-		llamaOpts = append(llamaOpts, llama.SetContext(int(opts.ContextSize)))
-	}
-	if opts.F16Memory {
-		llamaOpts = append(llamaOpts, llama.EnableF16Memory)
-	}
-	if opts.Embeddings {
-		llamaOpts = append(llamaOpts, llama.EnableEmbeddings)
-	}
-	if opts.NGPULayers != 0 {
-		llamaOpts = append(llamaOpts, llama.SetGPULayers(int(opts.NGPULayers)))
-	}
-
-	llamaOpts = append(llamaOpts, llama.SetMMap(opts.MMap))
-	llamaOpts = append(llamaOpts, llama.SetMainGPU(opts.MainGPU))
-	llamaOpts = append(llamaOpts, llama.SetTensorSplit(opts.TensorSplit))
-	if opts.NBatch != 0 {
-		llamaOpts = append(llamaOpts, llama.SetNBatch(int(opts.NBatch)))
-	} else {
-		llamaOpts = append(llamaOpts, llama.SetNBatch(512))
-	}
-
-	if opts.NUMA {
-		llamaOpts = append(llamaOpts, llama.EnableNUMA)
-	}
-
-	if opts.LowVRAM {
-		llamaOpts = append(llamaOpts, llama.EnabelLowVRAM)
-	}
-
-	model, err := llama.New(opts.Model, llamaOpts...)
-	llm.llama = model
-	return err
-}
-
-func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
-	predictOptions := []llama.PredictOption{
-		llama.SetTemperature(float64(opts.Temperature)),
-		llama.SetTopP(float64(opts.TopP)),
-		llama.SetTopK(int(opts.TopK)),
-		llama.SetTokens(int(opts.Tokens)),
-		llama.SetThreads(int(opts.Threads)),
-	}
-
-	if opts.PromptCacheAll {
-		predictOptions = append(predictOptions, llama.EnablePromptCacheAll)
-	}
-
-	if opts.PromptCacheRO {
-		predictOptions = append(predictOptions, llama.EnablePromptCacheRO)
-	}
-
-	predictOptions = append(predictOptions, llama.WithGrammar(opts.Grammar))
-
-	// Expected absolute path
-	if opts.PromptCachePath != "" {
-		predictOptions = append(predictOptions, llama.SetPathPromptCache(opts.PromptCachePath))
-	}
-
-	if opts.Mirostat != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostat(int(opts.Mirostat)))
-	}
-
-	if opts.MirostatETA != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostatETA(float64(opts.MirostatETA)))
-	}
-
-	if opts.MirostatTAU != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostatTAU(float64(opts.MirostatTAU)))
-	}
-
-	if opts.Debug {
-		predictOptions = append(predictOptions, llama.Debug)
-	}
-
-	predictOptions = append(predictOptions, llama.SetStopWords(opts.StopPrompts...))
-
-	if opts.PresencePenalty != 0 {
-		predictOptions = append(predictOptions, llama.SetPenalty(float64(opts.PresencePenalty)))
-	}
-
-	if opts.NKeep != 0 {
-		predictOptions = append(predictOptions, llama.SetNKeep(int(opts.NKeep)))
-	}
-
-	if opts.Batch != 0 {
-		predictOptions = append(predictOptions, llama.SetBatch(int(opts.Batch)))
-	}
-
-	if opts.F16KV {
-		predictOptions = append(predictOptions, llama.EnableF16KV)
-	}
-
-	if opts.IgnoreEOS {
-		predictOptions = append(predictOptions, llama.IgnoreEOS)
-	}
-
-	if opts.Seed != 0 {
-		predictOptions = append(predictOptions, llama.SetSeed(int(opts.Seed)))
-	}
-
-	//predictOptions = append(predictOptions, llama.SetLogitBias(c.Seed))
-
-	predictOptions = append(predictOptions, llama.SetFrequencyPenalty(float64(opts.FrequencyPenalty)))
-	predictOptions = append(predictOptions, llama.SetMlock(opts.MLock))
-	predictOptions = append(predictOptions, llama.SetMemoryMap(opts.MMap))
-	predictOptions = append(predictOptions, llama.SetPredictionMainGPU(opts.MainGPU))
-	predictOptions = append(predictOptions, llama.SetPredictionTensorSplit(opts.TensorSplit))
-	predictOptions = append(predictOptions, llama.SetTailFreeSamplingZ(float64(opts.TailFreeSamplingZ)))
-	predictOptions = append(predictOptions, llama.SetTypicalP(float64(opts.TypicalP)))
-	return predictOptions
-}
-
-func (llm *LLM) Predict(opts *pb.PredictOptions) (string, error) {
-	return llm.llama.Predict(opts.Prompt, buildPredictOptions(opts)...)
-}
-
-func (llm *LLM) PredictStream(opts *pb.PredictOptions, results chan string) error {
-	predictOptions := buildPredictOptions(opts)
-
-	predictOptions = append(predictOptions, llama.SetTokenCallback(func(token string) bool {
-		results <- token
-		return true
-	}))
-
-	go func() {
-		_, err := llm.llama.Predict(opts.Prompt, predictOptions...)
-		if err != nil {
-			fmt.Println("err: ", err)
-		}
-		close(results)
-	}()
-
-	return nil
-}
-
-func (llm *LLM) Embeddings(opts *pb.PredictOptions) ([]float32, error) {
-	predictOptions := buildPredictOptions(opts)
-
-	if len(opts.EmbeddingTokens) > 0 {
-		tokens := []int{}
-		for _, t := range opts.EmbeddingTokens {
-			tokens = append(tokens, int(t))
-		}
-		return llm.llama.TokenEmbeddings(tokens, predictOptions...)
-	}
-
-	return llm.llama.Embeddings(opts.Embeddings, predictOptions...)
-}

pkg/grpc/llm/llama/llama.go

@@ -17,7 +17,21 @@ type LLM struct {
 }
 
 func (llm *LLM) Load(opts *pb.ModelOptions) error {
-	llamaOpts := []llama.ModelOption{}
+
+	ropeFreqBase := float32(10000)
+	ropeFreqScale := float32(1)
+
+	if opts.RopeFreqBase != 0 {
+		ropeFreqBase = opts.RopeFreqBase
+	}
+	if opts.RopeFreqScale != 0 {
+		ropeFreqScale = opts.RopeFreqScale
+	}
+
+	llamaOpts := []llama.ModelOption{
+		llama.WithRopeFreqBase(ropeFreqBase),
+		llama.WithRopeFreqScale(ropeFreqScale),
+	}
 
 	if opts.ContextSize != 0 {
 		llamaOpts = append(llamaOpts, llama.SetContext(int(opts.ContextSize)))
@@ -55,12 +69,26 @@ func (llm *LLM) Load(opts *pb.ModelOptions) error {
 }
 
 func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
+	ropeFreqBase := float32(10000)
+	ropeFreqScale := float32(1)
+
+	if opts.RopeFreqBase != 0 {
+		ropeFreqBase = opts.RopeFreqBase
+	}
+	if opts.RopeFreqScale != 0 {
+		ropeFreqScale = opts.RopeFreqScale
+	}
 	predictOptions := []llama.PredictOption{
-		llama.SetTemperature(float64(opts.Temperature)),
-		llama.SetTopP(float64(opts.TopP)),
+		llama.SetTemperature(opts.Temperature),
+		llama.SetTopP(opts.TopP),
 		llama.SetTopK(int(opts.TopK)),
 		llama.SetTokens(int(opts.Tokens)),
 		llama.SetThreads(int(opts.Threads)),
+		llama.WithGrammar(opts.Grammar),
+		llama.SetRopeFreqBase(ropeFreqBase),
+		llama.SetRopeFreqScale(ropeFreqScale),
+		llama.SetNegativePromptScale(opts.NegativePromptScale),
+		llama.SetNegativePrompt(opts.NegativePrompt),
 	}
 
 	if opts.PromptCacheAll {
@@ -81,11 +109,11 @@ func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
 	}
 
 	if opts.MirostatETA != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostatETA(float64(opts.MirostatETA)))
+		predictOptions = append(predictOptions, llama.SetMirostatETA(opts.MirostatETA))
 	}
 
 	if opts.MirostatTAU != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostatTAU(float64(opts.MirostatTAU)))
+		predictOptions = append(predictOptions, llama.SetMirostatTAU(opts.MirostatTAU))
 	}
 
 	if opts.Debug {
@@ -95,7 +123,7 @@ func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
 	predictOptions = append(predictOptions, llama.SetStopWords(opts.StopPrompts...))
 
 	if opts.PresencePenalty != 0 {
-		predictOptions = append(predictOptions, llama.SetPenalty(float64(opts.PresencePenalty)))
+		predictOptions = append(predictOptions, llama.SetPenalty(opts.PresencePenalty))
 	}
 
 	if opts.NKeep != 0 {
@@ -120,13 +148,13 @@ func buildPredictOptions(opts *pb.PredictOptions) []llama.PredictOption {
 
 	//predictOptions = append(predictOptions, llama.SetLogitBias(c.Seed))
 
-	predictOptions = append(predictOptions, llama.SetFrequencyPenalty(float64(opts.FrequencyPenalty)))
+	predictOptions = append(predictOptions, llama.SetFrequencyPenalty(opts.FrequencyPenalty))
 	predictOptions = append(predictOptions, llama.SetMlock(opts.MLock))
 	predictOptions = append(predictOptions, llama.SetMemoryMap(opts.MMap))
 	predictOptions = append(predictOptions, llama.SetPredictionMainGPU(opts.MainGPU))
 	predictOptions = append(predictOptions, llama.SetPredictionTensorSplit(opts.TensorSplit))
-	predictOptions = append(predictOptions, llama.SetTailFreeSamplingZ(float64(opts.TailFreeSamplingZ)))
-	predictOptions = append(predictOptions, llama.SetTypicalP(float64(opts.TypicalP)))
+	predictOptions = append(predictOptions, llama.SetTailFreeSamplingZ(opts.TailFreeSamplingZ))
+	predictOptions = append(predictOptions, llama.SetTypicalP(opts.TypicalP))
 	return predictOptions
 }
 

pkg/grpc/proto/backend.pb.go

@@ -64,41 +64,45 @@ type PredictOptions struct {
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	Prompt            string   `protobuf:"bytes,1,opt,name=Prompt,proto3" json:"Prompt,omitempty"`
-	Seed              int32    `protobuf:"varint,2,opt,name=Seed,proto3" json:"Seed,omitempty"`
-	Threads           int32    `protobuf:"varint,3,opt,name=Threads,proto3" json:"Threads,omitempty"`
-	Tokens            int32    `protobuf:"varint,4,opt,name=Tokens,proto3" json:"Tokens,omitempty"`
-	TopK              int32    `protobuf:"varint,5,opt,name=TopK,proto3" json:"TopK,omitempty"`
-	Repeat            int32    `protobuf:"varint,6,opt,name=Repeat,proto3" json:"Repeat,omitempty"`
-	Batch             int32    `protobuf:"varint,7,opt,name=Batch,proto3" json:"Batch,omitempty"`
-	NKeep             int32    `protobuf:"varint,8,opt,name=NKeep,proto3" json:"NKeep,omitempty"`
-	Temperature       float32  `protobuf:"fixed32,9,opt,name=Temperature,proto3" json:"Temperature,omitempty"`
-	Penalty           float32  `protobuf:"fixed32,10,opt,name=Penalty,proto3" json:"Penalty,omitempty"`
-	F16KV             bool     `protobuf:"varint,11,opt,name=F16KV,proto3" json:"F16KV,omitempty"`
-	DebugMode         bool     `protobuf:"varint,12,opt,name=DebugMode,proto3" json:"DebugMode,omitempty"`
-	StopPrompts       []string `protobuf:"bytes,13,rep,name=StopPrompts,proto3" json:"StopPrompts,omitempty"`
-	IgnoreEOS         bool     `protobuf:"varint,14,opt,name=IgnoreEOS,proto3" json:"IgnoreEOS,omitempty"`
-	TailFreeSamplingZ float32  `protobuf:"fixed32,15,opt,name=TailFreeSamplingZ,proto3" json:"TailFreeSamplingZ,omitempty"`
-	TypicalP          float32  `protobuf:"fixed32,16,opt,name=TypicalP,proto3" json:"TypicalP,omitempty"`
-	FrequencyPenalty  float32  `protobuf:"fixed32,17,opt,name=FrequencyPenalty,proto3" json:"FrequencyPenalty,omitempty"`
-	PresencePenalty   float32  `protobuf:"fixed32,18,opt,name=PresencePenalty,proto3" json:"PresencePenalty,omitempty"`
-	Mirostat          int32    `protobuf:"varint,19,opt,name=Mirostat,proto3" json:"Mirostat,omitempty"`
-	MirostatETA       float32  `protobuf:"fixed32,20,opt,name=MirostatETA,proto3" json:"MirostatETA,omitempty"`
-	MirostatTAU       float32  `protobuf:"fixed32,21,opt,name=MirostatTAU,proto3" json:"MirostatTAU,omitempty"`
-	PenalizeNL        bool     `protobuf:"varint,22,opt,name=PenalizeNL,proto3" json:"PenalizeNL,omitempty"`
-	LogitBias         string   `protobuf:"bytes,23,opt,name=LogitBias,proto3" json:"LogitBias,omitempty"`
-	MLock             bool     `protobuf:"varint,25,opt,name=MLock,proto3" json:"MLock,omitempty"`
-	MMap              bool     `protobuf:"varint,26,opt,name=MMap,proto3" json:"MMap,omitempty"`
-	PromptCacheAll    bool     `protobuf:"varint,27,opt,name=PromptCacheAll,proto3" json:"PromptCacheAll,omitempty"`
-	PromptCacheRO     bool     `protobuf:"varint,28,opt,name=PromptCacheRO,proto3" json:"PromptCacheRO,omitempty"`
-	Grammar           string   `protobuf:"bytes,29,opt,name=Grammar,proto3" json:"Grammar,omitempty"`
-	MainGPU           string   `protobuf:"bytes,30,opt,name=MainGPU,proto3" json:"MainGPU,omitempty"`
-	TensorSplit       string   `protobuf:"bytes,31,opt,name=TensorSplit,proto3" json:"TensorSplit,omitempty"`
-	TopP              float32  `protobuf:"fixed32,32,opt,name=TopP,proto3" json:"TopP,omitempty"`
-	PromptCachePath   string   `protobuf:"bytes,33,opt,name=PromptCachePath,proto3" json:"PromptCachePath,omitempty"`
-	Debug             bool     `protobuf:"varint,34,opt,name=Debug,proto3" json:"Debug,omitempty"`
-	EmbeddingTokens   []int32  `protobuf:"varint,35,rep,packed,name=EmbeddingTokens,proto3" json:"EmbeddingTokens,omitempty"`
-	Embeddings        string   `protobuf:"bytes,36,opt,name=Embeddings,proto3" json:"Embeddings,omitempty"`
+	Prompt              string   `protobuf:"bytes,1,opt,name=Prompt,proto3" json:"Prompt,omitempty"`
+	Seed                int32    `protobuf:"varint,2,opt,name=Seed,proto3" json:"Seed,omitempty"`
+	Threads             int32    `protobuf:"varint,3,opt,name=Threads,proto3" json:"Threads,omitempty"`
+	Tokens              int32    `protobuf:"varint,4,opt,name=Tokens,proto3" json:"Tokens,omitempty"`
+	TopK                int32    `protobuf:"varint,5,opt,name=TopK,proto3" json:"TopK,omitempty"`
+	Repeat              int32    `protobuf:"varint,6,opt,name=Repeat,proto3" json:"Repeat,omitempty"`
+	Batch               int32    `protobuf:"varint,7,opt,name=Batch,proto3" json:"Batch,omitempty"`
+	NKeep               int32    `protobuf:"varint,8,opt,name=NKeep,proto3" json:"NKeep,omitempty"`
+	Temperature         float32  `protobuf:"fixed32,9,opt,name=Temperature,proto3" json:"Temperature,omitempty"`
+	Penalty             float32  `protobuf:"fixed32,10,opt,name=Penalty,proto3" json:"Penalty,omitempty"`
+	F16KV               bool     `protobuf:"varint,11,opt,name=F16KV,proto3" json:"F16KV,omitempty"`
+	DebugMode           bool     `protobuf:"varint,12,opt,name=DebugMode,proto3" json:"DebugMode,omitempty"`
+	StopPrompts         []string `protobuf:"bytes,13,rep,name=StopPrompts,proto3" json:"StopPrompts,omitempty"`
+	IgnoreEOS           bool     `protobuf:"varint,14,opt,name=IgnoreEOS,proto3" json:"IgnoreEOS,omitempty"`
+	TailFreeSamplingZ   float32  `protobuf:"fixed32,15,opt,name=TailFreeSamplingZ,proto3" json:"TailFreeSamplingZ,omitempty"`
+	TypicalP            float32  `protobuf:"fixed32,16,opt,name=TypicalP,proto3" json:"TypicalP,omitempty"`
+	FrequencyPenalty    float32  `protobuf:"fixed32,17,opt,name=FrequencyPenalty,proto3" json:"FrequencyPenalty,omitempty"`
+	PresencePenalty     float32  `protobuf:"fixed32,18,opt,name=PresencePenalty,proto3" json:"PresencePenalty,omitempty"`
+	Mirostat            int32    `protobuf:"varint,19,opt,name=Mirostat,proto3" json:"Mirostat,omitempty"`
+	MirostatETA         float32  `protobuf:"fixed32,20,opt,name=MirostatETA,proto3" json:"MirostatETA,omitempty"`
+	MirostatTAU         float32  `protobuf:"fixed32,21,opt,name=MirostatTAU,proto3" json:"MirostatTAU,omitempty"`
+	PenalizeNL          bool     `protobuf:"varint,22,opt,name=PenalizeNL,proto3" json:"PenalizeNL,omitempty"`
+	LogitBias           string   `protobuf:"bytes,23,opt,name=LogitBias,proto3" json:"LogitBias,omitempty"`
+	MLock               bool     `protobuf:"varint,25,opt,name=MLock,proto3" json:"MLock,omitempty"`
+	MMap                bool     `protobuf:"varint,26,opt,name=MMap,proto3" json:"MMap,omitempty"`
+	PromptCacheAll      bool     `protobuf:"varint,27,opt,name=PromptCacheAll,proto3" json:"PromptCacheAll,omitempty"`
+	PromptCacheRO       bool     `protobuf:"varint,28,opt,name=PromptCacheRO,proto3" json:"PromptCacheRO,omitempty"`
+	Grammar             string   `protobuf:"bytes,29,opt,name=Grammar,proto3" json:"Grammar,omitempty"`
+	MainGPU             string   `protobuf:"bytes,30,opt,name=MainGPU,proto3" json:"MainGPU,omitempty"`
+	TensorSplit         string   `protobuf:"bytes,31,opt,name=TensorSplit,proto3" json:"TensorSplit,omitempty"`
+	TopP                float32  `protobuf:"fixed32,32,opt,name=TopP,proto3" json:"TopP,omitempty"`
+	PromptCachePath     string   `protobuf:"bytes,33,opt,name=PromptCachePath,proto3" json:"PromptCachePath,omitempty"`
+	Debug               bool     `protobuf:"varint,34,opt,name=Debug,proto3" json:"Debug,omitempty"`
+	EmbeddingTokens     []int32  `protobuf:"varint,35,rep,packed,name=EmbeddingTokens,proto3" json:"EmbeddingTokens,omitempty"`
+	Embeddings          string   `protobuf:"bytes,36,opt,name=Embeddings,proto3" json:"Embeddings,omitempty"`
+	RopeFreqBase        float32  `protobuf:"fixed32,37,opt,name=RopeFreqBase,proto3" json:"RopeFreqBase,omitempty"`
+	RopeFreqScale       float32  `protobuf:"fixed32,38,opt,name=RopeFreqScale,proto3" json:"RopeFreqScale,omitempty"`
+	NegativePromptScale float32  `protobuf:"fixed32,39,opt,name=NegativePromptScale,proto3" json:"NegativePromptScale,omitempty"`
+	NegativePrompt      string   `protobuf:"bytes,40,opt,name=NegativePrompt,proto3" json:"NegativePrompt,omitempty"`
 }
 
 func (x *PredictOptions) Reset() {
@@ -378,13 +382,41 @@ func (x *PredictOptions) GetEmbeddings() string {
 	return ""
 }
 
+func (x *PredictOptions) GetRopeFreqBase() float32 {
+	if x != nil {
+		return x.RopeFreqBase
+	}
+	return 0
+}
+
+func (x *PredictOptions) GetRopeFreqScale() float32 {
+	if x != nil {
+		return x.RopeFreqScale
+	}
+	return 0
+}
+
+func (x *PredictOptions) GetNegativePromptScale() float32 {
+	if x != nil {
+		return x.NegativePromptScale
+	}
+	return 0
+}
+
+func (x *PredictOptions) GetNegativePrompt() string {
+	if x != nil {
+		return x.NegativePrompt
+	}
+	return ""
+}
+
 // The response message containing the result
 type Reply struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	Message string `protobuf:"bytes,1,opt,name=message,proto3" json:"message,omitempty"`
+	Message []byte `protobuf:"bytes,1,opt,name=message,proto3" json:"message,omitempty"`
 }
 
 func (x *Reply) Reset() {
@@ -419,11 +451,11 @@ func (*Reply) Descriptor() ([]byte, []int) {
 	return file_pkg_grpc_proto_backend_proto_rawDescGZIP(), []int{2}
 }
 
-func (x *Reply) GetMessage() string {
+func (x *Reply) GetMessage() []byte {
 	if x != nil {
 		return x.Message
 	}
-	return ""
+	return nil
 }
 
 type ModelOptions struct {
@@ -431,22 +463,24 @@ type ModelOptions struct {
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	Model             string `protobuf:"bytes,1,opt,name=Model,proto3" json:"Model,omitempty"`
-	ContextSize       int32  `protobuf:"varint,2,opt,name=ContextSize,proto3" json:"ContextSize,omitempty"`
-	Seed              int32  `protobuf:"varint,3,opt,name=Seed,proto3" json:"Seed,omitempty"`
-	NBatch            int32  `protobuf:"varint,4,opt,name=NBatch,proto3" json:"NBatch,omitempty"`
-	F16Memory         bool   `protobuf:"varint,5,opt,name=F16Memory,proto3" json:"F16Memory,omitempty"`
-	MLock             bool   `protobuf:"varint,6,opt,name=MLock,proto3" json:"MLock,omitempty"`
-	MMap              bool   `protobuf:"varint,7,opt,name=MMap,proto3" json:"MMap,omitempty"`
-	VocabOnly         bool   `protobuf:"varint,8,opt,name=VocabOnly,proto3" json:"VocabOnly,omitempty"`
-	LowVRAM           bool   `protobuf:"varint,9,opt,name=LowVRAM,proto3" json:"LowVRAM,omitempty"`
-	Embeddings        bool   `protobuf:"varint,10,opt,name=Embeddings,proto3" json:"Embeddings,omitempty"`
-	NUMA              bool   `protobuf:"varint,11,opt,name=NUMA,proto3" json:"NUMA,omitempty"`
-	NGPULayers        int32  `protobuf:"varint,12,opt,name=NGPULayers,proto3" json:"NGPULayers,omitempty"`
-	MainGPU           string `protobuf:"bytes,13,opt,name=MainGPU,proto3" json:"MainGPU,omitempty"`
-	TensorSplit       string `protobuf:"bytes,14,opt,name=TensorSplit,proto3" json:"TensorSplit,omitempty"`
-	Threads           int32  `protobuf:"varint,15,opt,name=Threads,proto3" json:"Threads,omitempty"`
-	LibrarySearchPath string `protobuf:"bytes,16,opt,name=LibrarySearchPath,proto3" json:"LibrarySearchPath,omitempty"`
+	Model             string  `protobuf:"bytes,1,opt,name=Model,proto3" json:"Model,omitempty"`
+	ContextSize       int32   `protobuf:"varint,2,opt,name=ContextSize,proto3" json:"ContextSize,omitempty"`
+	Seed              int32   `protobuf:"varint,3,opt,name=Seed,proto3" json:"Seed,omitempty"`
+	NBatch            int32   `protobuf:"varint,4,opt,name=NBatch,proto3" json:"NBatch,omitempty"`
+	F16Memory         bool    `protobuf:"varint,5,opt,name=F16Memory,proto3" json:"F16Memory,omitempty"`
+	MLock             bool    `protobuf:"varint,6,opt,name=MLock,proto3" json:"MLock,omitempty"`
+	MMap              bool    `protobuf:"varint,7,opt,name=MMap,proto3" json:"MMap,omitempty"`
+	VocabOnly         bool    `protobuf:"varint,8,opt,name=VocabOnly,proto3" json:"VocabOnly,omitempty"`
+	LowVRAM           bool    `protobuf:"varint,9,opt,name=LowVRAM,proto3" json:"LowVRAM,omitempty"`
+	Embeddings        bool    `protobuf:"varint,10,opt,name=Embeddings,proto3" json:"Embeddings,omitempty"`
+	NUMA              bool    `protobuf:"varint,11,opt,name=NUMA,proto3" json:"NUMA,omitempty"`
+	NGPULayers        int32   `protobuf:"varint,12,opt,name=NGPULayers,proto3" json:"NGPULayers,omitempty"`
+	MainGPU           string  `protobuf:"bytes,13,opt,name=MainGPU,proto3" json:"MainGPU,omitempty"`
+	TensorSplit       string  `protobuf:"bytes,14,opt,name=TensorSplit,proto3" json:"TensorSplit,omitempty"`
+	Threads           int32   `protobuf:"varint,15,opt,name=Threads,proto3" json:"Threads,omitempty"`
+	LibrarySearchPath string  `protobuf:"bytes,16,opt,name=LibrarySearchPath,proto3" json:"LibrarySearchPath,omitempty"`
+	RopeFreqBase      float32 `protobuf:"fixed32,17,opt,name=RopeFreqBase,proto3" json:"RopeFreqBase,omitempty"`
+	RopeFreqScale     float32 `protobuf:"fixed32,18,opt,name=RopeFreqScale,proto3" json:"RopeFreqScale,omitempty"`
 }
 
 func (x *ModelOptions) Reset() {
@@ -593,6 +627,20 @@ func (x *ModelOptions) GetLibrarySearchPath() string {
 	return ""
 }
 
+func (x *ModelOptions) GetRopeFreqBase() float32 {
+	if x != nil {
+		return x.RopeFreqBase
+	}
+	return 0
+}
+
+func (x *ModelOptions) GetRopeFreqScale() float32 {
+	if x != nil {
+		return x.RopeFreqScale
+	}
+	return 0
+}
+
 type Result struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
@@ -1064,7 +1112,7 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{
 	0x0a, 0x1c, 0x70, 0x6b, 0x67, 0x2f, 0x67, 0x72, 0x70, 0x63, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f,
 	0x2f, 0x62, 0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x2e, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x12, 0x07,
 	0x62, 0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x22, 0x0f, 0x0a, 0x0d, 0x48, 0x65, 0x61, 0x6c, 0x74,
-	0x68, 0x4d, 0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x22, 0xa0, 0x08, 0x0a, 0x0e, 0x50, 0x72, 0x65,
+	0x68, 0x4d, 0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x22, 0xc4, 0x09, 0x0a, 0x0e, 0x50, 0x72, 0x65,
 	0x64, 0x69, 0x63, 0x74, 0x4f, 0x70, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x12, 0x16, 0x0a, 0x06, 0x50,
 	0x72, 0x6f, 0x6d, 0x70, 0x74, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x06, 0x50, 0x72, 0x6f,
 	0x6d, 0x70, 0x74, 0x12, 0x12, 0x0a, 0x04, 0x53, 0x65, 0x65, 0x64, 0x18, 0x02, 0x20, 0x01, 0x28,
@@ -1130,121 +1178,136 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{
 	0x6b, 0x65, 0x6e, 0x73, 0x18, 0x23, 0x20, 0x03, 0x28, 0x05, 0x52, 0x0f, 0x45, 0x6d, 0x62, 0x65,
 	0x64, 0x64, 0x69, 0x6e, 0x67, 0x54, 0x6f, 0x6b, 0x65, 0x6e, 0x73, 0x12, 0x1e, 0x0a, 0x0a, 0x45,
 	0x6d, 0x62, 0x65, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x73, 0x18, 0x24, 0x20, 0x01, 0x28, 0x09, 0x52,
-	0x0a, 0x45, 0x6d, 0x62, 0x65, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x73, 0x22, 0x21, 0x0a, 0x05, 0x52,
-	0x65, 0x70, 0x6c, 0x79, 0x12, 0x18, 0x0a, 0x07, 0x6d, 0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x18,
-	0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x07, 0x6d, 0x65, 0x73, 0x73, 0x61, 0x67, 0x65, 0x22, 0xca,
-	0x03, 0x0a, 0x0c, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x4f, 0x70, 0x74, 0x69, 0x6f, 0x6e, 0x73, 0x12,
-	0x14, 0x0a, 0x05, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x18, 0x01, 0x20, 0x01, 0x28, 0x09, 0x52, 0x05,
-	0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x12, 0x20, 0x0a, 0x0b, 0x43, 0x6f, 0x6e, 0x74, 0x65, 0x78, 0x74,
-	0x53, 0x69, 0x7a, 0x65, 0x18, 0x02, 0x20, 0x01, 0x28, 0x05, 0x52, 0x0b, 0x43, 0x6f, 0x6e, 0x74,
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+	0x12, 0x2d, 0x0a, 0x03, 0x54, 0x54, 0x53, 0x12, 0x13, 0x2e, 0x62, 0x61, 0x63, 0x6b, 0x65, 0x6e,
+	0x64, 0x2e, 0x54, 0x54, 0x53, 0x52, 0x65, 0x71, 0x75, 0x65, 0x73, 0x74, 0x1a, 0x0f, 0x2e, 0x62,
+	0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x2e, 0x52, 0x65, 0x73, 0x75, 0x6c, 0x74, 0x22, 0x00, 0x42,
+	0x5a, 0x0a, 0x19, 0x69, 0x6f, 0x2e, 0x73, 0x6b, 0x79, 0x6e, 0x65, 0x74, 0x2e, 0x6c, 0x6f, 0x63,
+	0x61, 0x6c, 0x61, 0x69, 0x2e, 0x62, 0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x42, 0x0e, 0x4c, 0x6f,
+	0x63, 0x61, 0x6c, 0x41, 0x49, 0x42, 0x61, 0x63, 0x6b, 0x65, 0x6e, 0x64, 0x50, 0x01, 0x5a, 0x2b,
+	0x67, 0x69, 0x74, 0x68, 0x75, 0x62, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x67, 0x6f, 0x2d, 0x73, 0x6b,
+	0x79, 0x6e, 0x65, 0x74, 0x2f, 0x4c, 0x6f, 0x63, 0x61, 0x6c, 0x41, 0x49, 0x2f, 0x70, 0x6b, 0x67,
+	0x2f, 0x67, 0x72, 0x70, 0x63, 0x2f, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x06, 0x70, 0x72, 0x6f,
+	0x74, 0x6f, 0x33,
 }
 
 var (

pkg/grpc/proto/backend.proto

@@ -57,11 +57,15 @@ message PredictOptions {
   bool Debug = 34;
   repeated int32 EmbeddingTokens = 35;
   string Embeddings = 36;
+  float RopeFreqBase = 37;
+  float RopeFreqScale = 38;
+  float NegativePromptScale = 39;
+  string NegativePrompt = 40;
 }
 
 // The response message containing the result
 message Reply {
-  string message = 1;
+  bytes message = 1;
 }
 
 message ModelOptions {
@@ -81,6 +85,8 @@ message ModelOptions {
   string TensorSplit = 14;
   int32 Threads = 15;
   string LibrarySearchPath = 16;
+  float RopeFreqBase = 17;
+  float RopeFreqScale = 18;
 }
 
 message Result {

pkg/grpc/server.go

@@ -26,7 +26,7 @@ type server struct {
 }
 
 func (s *server) Health(ctx context.Context, in *pb.HealthMessage) (*pb.Reply, error) {
-	return &pb.Reply{Message: "OK"}, nil
+	return newReply("OK"), nil
 }
 
 func (s *server) Embedding(ctx context.Context, in *pb.PredictOptions) (*pb.EmbeddingResult, error) {
@@ -48,7 +48,7 @@ func (s *server) LoadModel(ctx context.Context, in *pb.ModelOptions) (*pb.Result
 
 func (s *server) Predict(ctx context.Context, in *pb.PredictOptions) (*pb.Reply, error) {
 	result, err := s.llm.Predict(in)
-	return &pb.Reply{Message: result}, err
+	return newReply(result), err
 }
 
 func (s *server) GenerateImage(ctx context.Context, in *pb.GenerateImageRequest) (*pb.Result, error) {
@@ -99,7 +99,7 @@ func (s *server) PredictStream(in *pb.PredictOptions, stream pb.Backend_PredictS
 	done := make(chan bool)
 	go func() {
 		for result := range resultChan {
-			stream.Send(&pb.Reply{Message: result})
+			stream.Send(newReply(result))
 		}
 		done <- true
 	}()

pkg/model/initializers.go

@@ -35,7 +35,6 @@ const (
 	Gpt4All             = "gpt4all"
 	FalconBackend       = "falcon"
 	FalconGGMLBackend   = "falcon-ggml"
-	LlamaGrammarBackend = "llama-grammar"
 
 	BertEmbeddingsBackend  = "bert-embeddings"
 	RwkvBackend            = "rwkv"
@@ -51,7 +50,6 @@ var AutoLoadBackends []string = []string{
 	FalconBackend,
 	GPTNeoXBackend,
 	BertEmbeddingsBackend,
-	LlamaGrammarBackend,
 	FalconGGMLBackend,
 	GPTJBackend,
 	Gpt2Backend,
@@ -78,7 +76,7 @@ func (ml *ModelLoader) startProcess(grpcProcess, id string, serverAddress string
 		return err
 	}
 
-	log.Debug().Msgf("Loading GRPC Process", grpcProcess)
+	log.Debug().Msgf("Loading GRPC Process: %s", grpcProcess)
 
 	log.Debug().Msgf("GRPC Service for %s will be running at: '%s'", id, serverAddress)
 
@@ -230,7 +228,7 @@ func (ml *ModelLoader) BackendLoader(opts ...Option) (model *grpc.Client, err er
 	}
 
 	switch backend {
-	case LlamaBackend, LlamaGrammarBackend, GPTJBackend, DollyBackend,
+	case LlamaBackend, GPTJBackend, DollyBackend,
 		MPTBackend, Gpt2Backend, FalconBackend,
 		GPTNeoXBackend, ReplitBackend, StarcoderBackend, BloomzBackend,
 		RwkvBackend, LCHuggingFaceBackend, BertEmbeddingsBackend, FalconGGMLBackend, StableDiffusionBackend, WhisperBackend:

pkg/model/loader.go

@@ -102,7 +102,6 @@ func (ml *ModelLoader) LoadModel(modelName string, loader func(string) (*grpc.Cl
 
 	// Check if we already have a loaded model
 	if model := ml.checkIsLoaded(modelName); model != nil {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
 		return model, nil
 	}