add chatbot-ui example

2026-02-03 11:13:31 -05:00 · 2023-04-25 08:48:43 -07:00
90 changed files with 917 additions and 5073 deletions
--- a/.dockerignore
+++ b/.dockerignore
@@ -1,2 +1 @@
 models
-examples/chatbot-ui/models
--- a/.github/bump_deps.sh
+++ b/.github/bump_deps.sh
@@ -1,9 +0,0 @@
-#!/bin/bash
-set -xe
-REPO=$1
-BRANCH=$2
-VAR=$3
-
-LAST_COMMIT=$(curl -s -H "Accept: application/vnd.github.VERSION.sha" "https://api.github.com/repos/$REPO/commits/$BRANCH")
-
-sed -i Makefile -e "s/$VAR?=.*/$VAR?=$LAST_COMMIT/"
--- a/.github/workflows/bump_deps.yaml
+++ b/.github/workflows/bump_deps.yaml
@@ -1,42 +0,0 @@
-name: Bump dependencies
-on:
-  schedule:
-    - cron: 0 20 * * *
-  workflow_dispatch:
-jobs:
-  bump:
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - repository: "go-skynet/go-gpt4all-j.cpp"
-            variable: "GOGPT4ALLJ_VERSION"
-            branch: "master"
-          - repository: "go-skynet/go-llama.cpp"
-            variable: "GOLLAMA_VERSION"
-            branch: "master"
-          - repository: "go-skynet/go-gpt2.cpp"
-            variable: "GOGPT2_VERSION"
-            branch: "master"
-          - repository: "donomii/go-rwkv.cpp"
-            variable: "RWKV_VERSION"
-            branch: "main"
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v3
-      - name: Bump dependencies 🔧
-        run: |
-          bash .github/bump_deps.sh ${{ matrix.repository }} ${{ matrix.branch }} ${{ matrix.variable }}
-      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v5
-        with:
-          token: ${{ secrets.UPDATE_BOT_TOKEN }}
-          push-to-fork: ci-forks/LocalAI
-          commit-message: ':arrow_up: Update ${{ matrix.repository }}'
-          title: ':arrow_up: Update ${{ matrix.repository }}'
-          branch: "update/${{ matrix.variable }}"
-          body: Bump of ${{ matrix.repository }} version
-          signoff: true
-
-
-
--- a/.github/workflows/image.yml
+++ b/.github/workflows/image.yml
@@ -54,8 +54,8 @@ jobs:
        uses: docker/login-action@v2
        with:
          registry: quay.io
-          username: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
-          password: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+          username: ${{ secrets.QUAY_USERNAME }}
+          password: ${{ secrets.QUAY_PASSWORD }}
      - name: Build
        if: github.event_name != 'pull_request'
        uses: docker/build-push-action@v4
--- a/.gitignore
+++ b/.gitignore
@@ -2,7 +2,6 @@
 go-llama
 go-gpt4all-j
 go-gpt2
-go-rwkv

 # LocalAI build binary
 LocalAI
@@ -11,5 +10,6 @@ local-ai
 !charts/*

 # Ignore models
-models/*
+models/*.bin
+models/ggml-*
 test-models/
--- a/12
+++ b/12
@@ -1,9 +1,13 @@
 ARG GO_VERSION=1.20
+ARG DEBIAN_VERSION=11
 ARG BUILD_TYPE=
-FROM golang:$GO_VERSION
+
+FROM golang:$GO_VERSION as builder
 WORKDIR /build
 RUN apt-get update && apt-get install -y cmake
 COPY . .
-RUN make prepare-sources
-EXPOSE 8080
-ENTRYPOINT [ "/build/entrypoint.sh" ]
+RUN make build
+
+FROM debian:$DEBIAN_VERSION
+COPY --from=builder /build/local-ai /usr/bin/local-ai
+ENTRYPOINT [ "/usr/bin/local-ai" ]
--- a/Dockerfile.dev
+++ b/Dockerfile.dev
@@ -1,14 +0,0 @@
-ARG GO_VERSION=1.20
-ARG DEBIAN_VERSION=11
-ARG BUILD_TYPE=
-
-FROM golang:$GO_VERSION as builder
-WORKDIR /build
-RUN apt-get update && apt-get install -y cmake
-COPY . .
-RUN make build
-
-FROM debian:$DEBIAN_VERSION
-COPY --from=builder /build/local-ai /usr/bin/local-ai
-EXPOSE 8080
-ENTRYPOINT [ "/usr/bin/local-ai" ]
--- a/148
+++ b/148
@@ -2,12 +2,12 @@ GOCMD=go
 GOTEST=$(GOCMD) test
 GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
-
-GOLLAMA_VERSION?=cf9b522db63898dcc5eb86e37c979ab85cbd583e
+# renovate: datasource=github-tags depName=go-skynet/go-llama.cpp
+GOLLAMA_VERSION?=llama.cpp-25d7abb
+# renovate: datasource=git-refs packageNameTemplate=https://github.com/go-skynet/go-gpt4all-j.cpp currentValueTemplate=master depNameTemplate=go-gpt4all-j.cpp
 GOGPT4ALLJ_VERSION?=1f7bff57f66cb7062e40d0ac3abd2217815e5109
+# renovate: datasource=git-refs packageNameTemplate=https://github.com/go-skynet/go-gpt2.cpp currentValueTemplate=master depNameTemplate=go-gpt2.cpp
 GOGPT2_VERSION?=245a5bfe6708ab80dc5c733dcdbfbe3cfd2acdaa
-RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
-RWKV_VERSION?=af62fcc432be2847acb6e0688b2c2491d6588d58

 GREEN  := $(shell tput -Txterm setaf 2)
 YELLOW := $(shell tput -Txterm setaf 3)
@@ -15,8 +15,8 @@ WHITE  := $(shell tput -Txterm setaf 7)
 CYAN   := $(shell tput -Txterm setaf 6)
 RESET  := $(shell tput -Txterm sgr0)

-C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv
-LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv
+C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2
+LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2

 # Use this if you want to set the default behavior
 ifndef BUILD_TYPE
@@ -33,82 +33,6 @@ endif

 all: help

-## GPT4ALL-J
-go-gpt4all-j:
-	git clone --recurse-submodules https://github.com/go-skynet/go-gpt4all-j.cpp go-gpt4all-j
-	cd go-gpt4all-j && git checkout -b build $(GOGPT4ALLJ_VERSION) && git submodule update --init --recursive --depth 1
-	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
-	@find ./go-gpt4all-j -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
-
-## RWKV
-go-rwkv:
-	git clone --recurse-submodules $(RWKV_REPO) go-rwkv
-	cd go-rwkv && git checkout -b build $(RWKV_VERSION) && git submodule update --init --recursive --depth 1
-	@find ./go-rwkv -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_rwkv_/g' {} +
-	@find ./go-rwkv -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_rwkv_/g' {} +
-	@find ./go-rwkv -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_rwkv_/g' {} +
-
-go-rwkv/librwkv.a: go-rwkv
-	cd go-rwkv && cd rwkv.cpp &&	cmake . -DRWKV_BUILD_SHARED_LIBRARY=OFF &&	cmake --build . && 	cp librwkv.a .. && cp ggml/src/libggml.a ..
-
-go-gpt4all-j/libgptj.a: go-gpt4all-j
-	$(MAKE) -C go-gpt4all-j $(GENERIC_PREFIX)libgptj.a
-
-## CEREBRAS GPT
-go-gpt2: 
-	git clone --recurse-submodules https://github.com/go-skynet/go-gpt2.cpp go-gpt2
-	cd go-gpt2 && git checkout -b build $(GOGPT2_VERSION) && git submodule update --init --recursive --depth 1
-	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
-	@find ./go-gpt2 -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
-
-go-gpt2/libgpt2.a: go-gpt2
-	$(MAKE) -C go-gpt2 $(GENERIC_PREFIX)libgpt2.a
-
-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/libbinding.a: go-llama 
-	$(MAKE) -C go-llama $(GENERIC_PREFIX)libbinding.a
-
-replace:
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2
-	$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(shell pwd)/go-rwkv
-
-prepare-sources: go-llama go-gpt2 go-gpt4all-j go-rwkv
-	$(GOCMD) mod download
-
-## GENERIC
-rebuild: ## Rebuilds the project
-	$(MAKE) -C go-llama clean
-	$(MAKE) -C go-gpt4all-j clean
-	$(MAKE) -C go-gpt2 clean
-	$(MAKE) -C go-rwkv clean
-	$(MAKE) build
-
-prepare: prepare-sources go-llama/libbinding.a go-gpt4all-j/libgptj.a go-gpt2/libgpt2.a go-rwkv/librwkv.a replace ## Prepares for building
-
-clean: ## Remove build related file
-	rm -fr ./go-llama
-	rm -rf ./go-gpt4all-j
-	rm -rf ./go-gpt2
-	rm -rf ./go-rwkv
-	rm -rf $(BINARY_NAME)
-
 ## Build:

 build: prepare ## Build the project
@@ -119,18 +43,68 @@ build: prepare ## Build the project
 generic-build: ## Build the project using generic
 	BUILD_TYPE="generic" $(MAKE) build

-## Run
-run: prepare ## run local-ai
+## GPT4ALL-J
+go-gpt4all-j:
+	git clone --recurse-submodules https://github.com/go-skynet/go-gpt4all-j.cpp go-gpt4all-j
+	cd go-gpt4all-j && git checkout -b build $(GOGPT4ALLJ_VERSION)
+	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
+	@find ./go-gpt4all-j -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
+	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
+
+go-gpt4all-j/libgptj.a: go-gpt4all-j
+	$(MAKE) -C go-gpt4all-j $(GENERIC_PREFIX)libgptj.a
+
+# CEREBRAS GPT
+go-gpt2:
+	git clone --recurse-submodules https://github.com/go-skynet/go-gpt2.cpp go-gpt2
+	cd go-gpt2 && git checkout -b build $(GOGPT2_VERSION)
+	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
+	@find ./go-gpt2 -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
+	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
+	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
+
+go-gpt2/libgpt2.a: go-gpt2
+	$(MAKE) -C go-gpt2 $(GENERIC_PREFIX)libgpt2.a
+	
+
+go-llama:
+	git clone -b $(GOLLAMA_VERSION) --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
+
+go-llama/libbinding.a: go-llama
+	$(MAKE) -C go-llama $(GENERIC_PREFIX)libbinding.a
+
+replace:
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2
+
+prepare: go-llama/libbinding.a go-gpt4all-j/libgptj.a go-gpt2/libgpt2.a replace
+
+clean: ## Remove build related file
+	rm -fr ./go-llama
+	rm -rf ./go-gpt4all-j
+	rm -rf ./go-gpt2
+	rm -rf $(BINARY_NAME)
+
+## Run:
+run: prepare
 	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) run ./main.go

 test-models/testmodel:
 	mkdir test-models
 	wget https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerberas-111m-q4_0.bin -O test-models/testmodel
-	cp tests/fixtures/* test-models

 test: prepare test-models/testmodel
-	cp tests/fixtures/* test-models
-	@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./...
+	@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} MODELS_PATH=$(abspath ./)/test-models $(GOCMD) test -v ./...

 ## Help:
 help: ## Show this help.
--- a/README.md
+++ b/README.md
@@ -5,44 +5,22 @@
 <br>
 </h1>

+> :warning: This project has been renamed from `llama-cli` to `LocalAI` to reflect the fact that we are focusing on a fast drop-in OpenAI API rather on the CLI interface. We think that there are already many projects that can be used as a CLI interface already, for instance  [llama.cpp](https://github.com/ggerganov/llama.cpp) and [gpt4all](https://github.com/nomic-ai/gpt4all). If you are were using `llama-cli` for CLI interactions and want to keep using it, use older versions or please open up an issue - contributions are welcome!
+
+
 [![tests](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml) [![build container images](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)

 [![](https://dcbadge.vercel.app/api/server/uJAeKSAGDy?style=flat-square&theme=default-inverted)](https://discord.gg/uJAeKSAGDy) 

-**LocalAI** is a drop-in replacement REST API compatible with OpenAI for local CPU inferencing. It allows to run models locally or on-prem with consumer grade hardware. It is based on [llama.cpp](https://github.com/ggerganov/llama.cpp), [gpt4all](https://github.com/nomic-ai/gpt4all), [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp) and [ggml](https://github.com/ggerganov/ggml), including support GPT4ALL-J which is licensed under Apache 2.0.
+**LocalAI** is a straightforward, drop-in replacement API compatible with OpenAI for local CPU inferencing, based on [llama.cpp](https://github.com/ggerganov/llama.cpp), [gpt4all](https://github.com/nomic-ai/gpt4all) and [ggml](https://github.com/ggerganov/ggml), including support GPT4ALL-J which is Apache 2.0 Licensed and can be used for commercial purposes.

 - OpenAI compatible API
- Supports multiple models
+- Supports multiple-models
 - Once loaded the first time, it keep models loaded in memory for faster inference
 - Support for prompt templates
- Doesn't shell-out, but uses C bindings for a faster inference and better performance. 
+- Doesn't shell-out, but uses C bindings for a faster inference and better performance. Uses [go-llama.cpp](https://github.com/go-skynet/go-llama.cpp) and [go-gpt4all-j.cpp](https://github.com/go-skynet/go-gpt4all-j.cpp).

-LocalAI is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome! It was initially created by [mudler](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
-
-See [examples on how to integrate LocalAI](https://github.com/go-skynet/LocalAI/tree/master/examples/).
-
-## News
-
- 02-05-2023: Support for `rwkv.cpp` models ( https://github.com/go-skynet/LocalAI/pull/158 ) and for `/edits` endpoint
- 01-05-2023: Support for SSE stream of tokens in `llama.cpp` backends ( https://github.com/go-skynet/LocalAI/pull/152 )
-
-Twitter: [@LocalAI_API](https://twitter.com/LocalAI_API) and [@mudler_it](https://twitter.com/mudler_it)
-
-### Blogs and articles
-
- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65) - excellent usecase for localAI, using AI to analyse Kubernetes clusters.
-
-## Contribute and help
-
-To help the project you can:
-
- Upvote the [Reddit post](https://www.reddit.com/r/selfhosted/comments/12w4p2f/localai_openai_compatible_api_to_run_llm_models/) about LocalAI.
-
- [Hacker news post](https://news.ycombinator.com/item?id=35726934) - help us out by voting if you like this project.
-
- If you have technological skills and want to contribute to development, have a look at the open issues. If you are new you can have a look at the [good-first-issue](https://github.com/go-skynet/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) and [help-wanted](https://github.com/go-skynet/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22) labels.
-
- If you don't have technological skills you can still help improving documentation or add examples or share your user-stories with our community, any help and contribution is welcome!
+Reddit post: https://www.reddit.com/r/selfhosted/comments/12w4p2f/localai_openai_compatible_api_to_run_llm_models/

 ## Model compatibility

@@ -51,41 +29,15 @@ It is compatible with the models supported by [llama.cpp](https://github.com/gge
 Tested with:
 - Vicuna
 - Alpaca
- [GPT4ALL](https://github.com/nomic-ai/gpt4all) (changes required, see below)
- [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin) (no changes required)
+- [GPT4ALL](https://github.com/nomic-ai/gpt4all)
+- [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin)
 - Koala
 - [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml)
- WizardLM
- [RWKV](https://github.com/BlinkDL/RWKV-LM) models with [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp)

-### GPT4ALL
+It should also be compatible with StableLM and GPTNeoX ggml models (untested)

 Note: You might need to convert older models to the new format, see [here](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.

-### RWKV
-
-<details>
-
-A full example on how to run a rwkv model is in the [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv).
-
-Note: rwkv models have an associated tokenizer along that needs to be provided with it:
-
-```
-36464540 -rw-r--r--  1 mudler mudler 1.2G May  3 10:51 rwkv_small
-36464543 -rw-r--r--  1 mudler mudler 2.4M May  3 10:51 rwkv_small.tokenizer.json
-```
-
-</details>
-
-### Others
-
-It should also be compatible with StableLM and GPTNeoX ggml models (untested).
-
-### Hardware requirements
-
-Depending on the model you are attempting to run might need more RAM or CPU resources. Check out also [here](https://github.com/ggerganov/llama.cpp#memorydisk-requirements) for `ggml` based backends. `rwkv` is less expensive on resources.
-
-
 ## Usage

 > `LocalAI` comes by default as a container image. You can check out all the available images with corresponding tags [here](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest).
@@ -98,9 +50,6 @@ git clone https://github.com/go-skynet/LocalAI

 cd LocalAI

-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build <TAG>
-
 # copy your models to models/
 cp your-model.bin models/

@@ -131,9 +80,6 @@ git clone https://github.com/go-skynet/LocalAI

 cd LocalAI

-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build <TAG>
-
 # Download gpt4all-j to models/
 wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j

@@ -160,111 +106,15 @@ curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/jso
 ```
 </details>

-To build locally, run `make build` (see below).
-
-### Other examples
-
-To see other examples on how to integrate with other projects for instance for question answering or for using it with chatbot-ui, see: [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/).
-
-
-### Advanced configuration
-
-LocalAI can be configured to serve user-defined models with a set of default parameters and templates.
-
-<details>
-
-You can create multiple `yaml` files in the models path or either specify a single YAML configuration file. 
-Consider the following `models` folder in the `example/chatbot-ui`:
-
-```
-base ❯ ls -liah examples/chatbot-ui/models 
-36487587 drwxr-xr-x 2 mudler mudler 4.0K May  3 12:27 .
-36487586 drwxr-xr-x 3 mudler mudler 4.0K May  3 10:42 ..
-36465214 -rw-r--r-- 1 mudler mudler   10 Apr 27 07:46 completion.tmpl
-36464855 -rw-r--r-- 1 mudler mudler 3.6G Apr 27 00:08 ggml-gpt4all-j
-36464537 -rw-r--r-- 1 mudler mudler  245 May  3 10:42 gpt-3.5-turbo.yaml
-36467388 -rw-r--r-- 1 mudler mudler  180 Apr 27 07:46 gpt4all.tmpl
-```
-
-In the `gpt-3.5-turbo.yaml` file it is defined the `gpt-3.5-turbo` model which is an alias to use `gpt4all-j` with pre-defined options.
-
-For instance, consider the following that declares `gpt-3.5-turbo` backed by the `ggml-gpt4all-j` model:
-
-```yaml
-name: gpt-3.5-turbo
-# Default model parameters
-parameters:
-  # Relative to the models path
-  model: ggml-gpt4all-j
-  # temperature
-  temperature: 0.3
-  # all the OpenAI request options here..
-
-# Default context size
-context_size: 512
-threads: 10
-# Define a backend (optional). By default it will try to guess the backend the first time the model is interacted with.
-backend: gptj # available: llama, stablelm, gpt2, gptj rwkv
-# stopwords (if supported by the backend)
-stopwords:
- "HUMAN:"
- "### Response:"
-# define chat roles
-roles:
-  user: "HUMAN:"
-  system: "GPT:"
-template:
-  # template file ".tmpl" with the prompt template to use by default on the endpoint call. Note there is no extension in the files
-  completion: completion
-  chat: ggml-gpt4all-j
-```
-
-Specifying a `config-file` via CLI allows to declare models in a single file as a list, for instance:
-
-```yaml
- name: list1
-  parameters:
-    model: testmodel
-  context_size: 512
-  threads: 10
-  stopwords:
-  - "HUMAN:"
-  - "### Response:"
-  roles:
-    user: "HUMAN:"
-    system: "GPT:"
-  template:
-    completion: completion
-    chat: ggml-gpt4all-j
- name: list2
-  parameters:
-    model: testmodel
-  context_size: 512
-  threads: 10
-  stopwords:
-  - "HUMAN:"
-  - "### Response:"
-  roles:
-    user: "HUMAN:"
-    system: "GPT:"
-  template:
-    completion: completion
-   chat: ggml-gpt4all-j
-```
-
-See also [chatbot-ui](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui) as an example on how to use config files.
-
-</details>
-
-### Prompt templates 
+## Prompt templates 

 The API doesn't inject a default prompt for talking to the model. You have to use a prompt similar to what's described in the standford-alpaca docs: https://github.com/tatsu-lab/stanford_alpaca#data-release.

 <details>
-You can use a default template for every model present in your model path, by creating a corresponding file with the `.tmpl` suffix next to your model. For instance, if the model is called `foo.bin`, you can create a sibling file, `foo.bin.tmpl` which will be used as a default prompt and can be used with alpaca:
+You can use a default template for every model present in your model path, by creating a corresponding file with the `.tmpl` suffix next to your model. For instance, if the model is called `foo.bin`, you can create a sibiling file, `foo.bin.tmpl` which will be used as a default prompt, for instance this can be used with alpaca:

 ```
-The below instruction describes a task. Write a response that appropriately completes the request.
+Below is an instruction that describes a task. Write a response that appropriately completes the request.

 ### Instruction:
 {{.Input}}
@@ -272,53 +122,13 @@ The below instruction describes a task. Write a response that appropriately comp
 ### Response:
 ```

-See the [prompt-templates](https://github.com/go-skynet/LocalAI/tree/master/prompt-templates) directory in this repository for templates for some of the most popular models.
-
-
-For the edit endpoint, an example template for alpaca-based models can be:
-
-```yaml
-Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
-
-### Instruction:
-{{.Instruction}}
-
-### Input:
-{{.Input}}
-
-### Response:
-```
+See the [prompt-templates](https://github.com/go-skynet/LocalAI/tree/master/prompt-templates) directory in this repository for templates for most popular models.

 </details>

-### CLI
+## API

-You can control LocalAI with command line arguments, to specify a binding address, or the number of threads.
-
-<details>
-
-Usage:
-
-```
-local-ai --models-path <model_path> [--address <address>] [--threads <num_threads>]
-```
-
-| Parameter    | Environment Variable | Default Value | Description                            |
-| ------------ | -------------------- | ------------- | -------------------------------------- |
-| models-path        | MODELS_PATH           |               | The path where you have models (ending with `.bin`).      |
-| threads      | THREADS              | Number of Physical cores     | The number of threads to use for text generation. |
-| address      | ADDRESS              | :8080         | The address and port to listen on. |
-| context-size | CONTEXT_SIZE         | 512           | Default token context size. |
-| debug | DEBUG         | false           | Enable debug mode. |
-| config-file | CONFIG_FILE         | empty           | Path to a LocalAI config file. |
-
-</details>
-
-## Setup
-
-Currently LocalAI comes as a container image and can be used with docker or a container engine of choice. You can check out all the available images with corresponding tags [here](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest).
-
-### Docker
+`LocalAI` provides an API for running text generation as a service, that follows the OpenAI reference and can be used as a drop-in. The models once loaded the first time will be kept in memory.

 <details>
 Example of starting the API with `docker`:
@@ -327,7 +137,7 @@ Example of starting the API with `docker`:
 docker run -p 8080:8080 -ti --rm quay.io/go-skynet/local-ai:latest --models-path /path/to/models --context-size 700 --threads 4
 ```

-You should see:
+And you'll see:
 ```
 ┌───────────────────────────────────────────────────┐ 
 │                   Fiber v2.42.0                   │ 
@@ -339,123 +149,27 @@ You should see:
 └───────────────────────────────────────────────────┘ 
 ```

-</details>
-
-### Build locally
-
-<details>
-
-In order to build the `LocalAI` container image locally you can use `docker`:
+You can control the API server options with command line arguments:

 ```
-# build the image
-docker build -t LocalAI .
-docker run LocalAI
+local-api --models-path <model_path> [--address <address>] [--threads <num_threads>]
 ```

-Or you can build the binary with `make`:
+The API takes takes the following parameters:

-```
-make build
-```
+| Parameter    | Environment Variable | Default Value | Description                            |
+| ------------ | -------------------- | ------------- | -------------------------------------- |
+| models-path        | MODELS_PATH           |               | The path where you have models (ending with `.bin`).      |
+| threads      | THREADS              | Number of Physical cores     | The number of threads to use for text generation. |
+| address      | ADDRESS              | :8080         | The address and port to listen on. |
+| context-size | CONTEXT_SIZE         | 512           | Default token context size. |
+| debug | DEBUG         | false           | Enable debug mode. |
+
+Once the server is running, you can start making requests to it using HTTP, using the OpenAI API. 

 </details>

-### Build on mac
-
-Building on Mac (M1 or M2) works, but you may need to install some prerequisites using `brew`. 
-
-<details>
-
-The below has been tested by one mac user and found to work. Note that this doesn't use docker to run the server:
-
-```
-# install build dependencies
-brew install cmake
-brew install go
-
-# clone the repo
-git clone https://github.com/go-skynet/LocalAI.git
-
-cd LocalAI
-
-# build the binary
-make build
-
-# Download gpt4all-j to models/
-wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
-
-# Use a template from the examples
-cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/
-
-# Run LocalAI
-./local-ai --models-path ./models/ --debug
-
-# Now API is accessible at localhost:8080
-curl http://localhost:8080/v1/models
-
-curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-     "model": "ggml-gpt4all-j",
-     "messages": [{"role": "user", "content": "How are you?"}],
-     "temperature": 0.9 
-   }'
-```
-
-</details>
-
-### Windows compatibility
-
-It should work, however you need to make sure you give enough resources to the container. See https://github.com/go-skynet/LocalAI/issues/2
-
-### Run LocalAI in Kubernetes
-
-LocalAI can be installed inside Kubernetes with helm.
-
-<details>
-
-1. Add the helm repo
-    ```bash
-    helm repo add go-skynet https://go-skynet.github.io/helm-charts/
-    ```
-1. Create a values files with your settings:
-```bash
-cat <<EOF > values.yaml
-deployment:
-  image: quay.io/go-skynet/local-ai:latest
-  env:
-    threads: 4
-    contextSize: 1024
-    modelsPath: "/models"
-# Optionally create a PVC, mount the PV to the LocalAI Deployment,
-# and download a model to prepopulate the models directory
-modelsVolume:
-  enabled: true
-  url: "https://gpt4all.io/models/ggml-gpt4all-j.bin"
-  pvc:
-    size: 6Gi
-    accessModes:
-    - ReadWriteOnce
-  auth:
-    # Optional value for HTTP basic access authentication header
-    basic: "" # 'username:password' base64 encoded
-service:
-  type: ClusterIP
-  annotations: {}
-  # If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
-  # service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
-EOF
-```
-3. Install the helm chart:
-```bash
-helm repo update
-helm install local-ai go-skynet/local-ai -f values.yaml
-```
-
-Check out also the [helm chart repository on GitHub](https://github.com/go-skynet/helm-charts).
-
-</details>
-
-## Supported OpenAI API endpoints
+### Supported OpenAI API endpoints

 You can check out the [OpenAI API reference](https://platform.openai.com/docs/api-reference/chat/create). 

@@ -463,10 +177,10 @@ Following the list of endpoints/parameters supported.

 Note:

- You can also specify the model as part of the OpenAI token.
+- You can also specify the model a part of the OpenAI token.
 - If only one model is available, the API will use it for all the requests.

-### Chat completions
+#### Chat completions

 <details>
 For example, to generate a chat completion, you can send a POST request to the `/v1/chat/completions` endpoint with the instruction as the request body:
@@ -482,30 +196,10 @@ curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/jso
 Available additional parameters: `top_p`, `top_k`, `max_tokens`
 </details>

-### Edit completions
+#### Completions

 <details>
-To generate an edit completion you can send a POST request to the `/v1/edits` endpoint with the instruction as the request body:
-
-```
-curl http://localhost:8080/v1/edits -H "Content-Type: application/json" -d '{
-     "model": "ggml-koala-7b-model-q4_0-r2.bin",
-     "instruction": "rephrase",
-     "input": "Black cat jumped out of the window",
-     "temperature": 0.7
-   }'
-```
-
-Available additional parameters: `top_p`, `top_k`, `max_tokens`.
-
-</details>
-
-### Completions
-
-<details>
-
-To generate a completion, you can send a POST request to the `/v1/completions` endpoint with the instruction as per the request body:
-
+For example, to generate a completion, you can send a POST request to the `/v1/completions` endpoint with the instruction as the request body:
 ```
 curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
     "model": "ggml-koala-7b-model-q4_0-r2.bin",
@@ -518,7 +212,7 @@ Available additional parameters: `top_p`, `top_k`, `max_tokens`

 </details>

-### List models
+#### List models

 <details>
 You can list all the models available with:
@@ -529,6 +223,63 @@ curl http://localhost:8080/v1/models

 </details>

+## Using other models
+
+gpt4all (https://github.com/nomic-ai/gpt4all) works as well, however the original model needs to be converted (same applies for old alpaca models, too):
+
+```bash
+wget -O tokenizer.model https://huggingface.co/decapoda-research/llama-30b-hf/resolve/main/tokenizer.model
+mkdir models
+cp gpt4all.. models/
+git clone https://gist.github.com/eiz/828bddec6162a023114ce19146cb2b82
+pip install sentencepiece
+python 828bddec6162a023114ce19146cb2b82/gistfile1.txt models tokenizer.model
+# There will be a new model with the ".tmp" extension, you have to use that one!
+```
+
+
+## Helm Chart Installation (run LocalAI in Kubernetes)
+The local-ai Helm chart supports two options for the LocalAI server's models directory:
+1. Basic deployment with no persistent volume. You must manually update the Deployment to configure your own models directory.
+
+    Install the chart with `.Values.deployment.volumes.enabled == false` and `.Values.dataVolume.enabled == false`.
+
+2. Advanced, two-phase deployment to provision the models directory using a DataVolume. Requires [Containerized Data Importer CDI](https://github.com/kubevirt/containerized-data-importer) to be pre-installed in your cluster.
+
+    First, install the chart with `.Values.deployment.volumes.enabled == false` and `.Values.dataVolume.enabled == true`:
+    ```bash
+    helm install local-ai charts/local-ai -n local-ai --create-namespace
+    ```
+    Wait for CDI to create an importer Pod for the DataVolume and for the importer pod to finish provisioning the model archive inside the PV.
+
+    Once the PV is provisioned and the importer Pod removed, set `.Values.deployment.volumes.enabled == true` and `.Values.dataVolume.enabled == false` and upgrade the chart:
+    ```bash
+    helm upgrade local-ai -n local-ai charts/local-ai
+    ```
+    This will update the local-ai Deployment to mount the PV that was provisioned by the DataVolume.
+
+## Windows compatibility
+
+It should work, however you need to make sure you give enough resources to the container. See https://github.com/go-skynet/LocalAI/issues/2
+
+## Build locally
+
+Pre-built images might fit well for most of the modern hardware, however you can and might need to build the images manually.
+
+In order to build the `LocalAI` container image locally you can use `docker`:
+
+```
+# build the image
+docker build -t LocalAI .
+docker run LocalAI
+```
+
+Or build the binary with `make`:
+
+```
+make build
+```
+
 ## Frequently asked questions

 Here are answers to some of the most common questions.
@@ -572,7 +323,7 @@ Not currently, as ggml doesn't support GPUs yet: https://github.com/ggerganov/ll
 ### Where is the webUI? 

 <details> 
-There is the availability of localai-webui and chatbot-ui in the examples section and can be setup as per the instructions. However as LocalAI is an API you can already plug it into existing projects that provides are UI interfaces to OpenAI's APIs. There are several already on github, and should be compatible with LocalAI already (as it mimics the OpenAI API)
+We are working on to have a good out of the box experience - however as LocalAI is an API you can already plug it into existing projects that provides are UI interfaces to OpenAI's APIs. There are several already on github, and should be compatible with LocalAI already (as it mimics the OpenAI API)

 </details>

@@ -584,54 +335,24 @@ AutoGPT currently doesn't allow to set a different API URL, but there is a PR op

 </details>

-## Projects already using LocalAI to run local models
-
-Feel free to open up a PR to get your project listed!
-
- [Kairos](https://github.com/kairos-io/kairos)
- [k8sgpt](https://github.com/k8sgpt-ai/k8sgpt#running-local-models)
-
-## Blog posts and other articles
-
- https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65
- https://kairos.io/docs/examples/localai/

 ## Short-term roadmap

 - [x] Mimic OpenAI API (https://github.com/go-skynet/LocalAI/issues/10)
 - [ ] Binary releases (https://github.com/go-skynet/LocalAI/issues/6)
- [ ] Upstream our golang bindings to llama.cpp (https://github.com/ggerganov/llama.cpp/issues/351) and [gpt4all](https://github.com/go-skynet/LocalAI/issues/85)
+- [ ] Upstream our golang bindings to llama.cpp (https://github.com/ggerganov/llama.cpp/issues/351)
 - [x] Multi-model support
- [x] Have a webUI!
- [x] Allow configuration of defaults for models.
- [ ] Enable automatic downloading of models from a curated gallery, with only free-licensed models, directly from the webui.
-
-## Star history
-
-[![LocalAI Star history Chart](https://api.star-history.com/svg?repos=go-skynet/LocalAI&type=Date)](https://star-history.com/#go-skynet/LocalAI&Date)
+- [ ] Have a webUI!
+- [ ] Allow configuration of defaults for models.
+- [ ] Enable automatic downloading of models from a curated gallery, with only free-licensed models.

 ## License

-LocalAI is a community-driven project. It was initially created by [Ettore Di Giacinto](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
-
 MIT

-## Golang bindings used
-
- [go-skynet/go-llama.cpp](https://github.com/go-skynet/go-llama.cpp)
- [go-skynet/go-gpt4all-j.cpp](https://github.com/go-skynet/go-gpt4all-j.cpp)
- [go-skynet/go-gpt2.cpp](https://github.com/go-skynet/go-gpt2.cpp)
- [donomii/go-rwkv.cpp](https://github.com/donomii/go-rwkv.cpp)
-
 ## Acknowledgements

 - [llama.cpp](https://github.com/ggerganov/llama.cpp)
 - https://github.com/tatsu-lab/stanford_alpaca
 - https://github.com/cornelk/llama-go for the initial ideas
 - https://github.com/antimatter15/alpaca.cpp for the light model version (this is compatible and tested only with that checkpoint model!)
-
-## Contributors
-
-<a href="https://github.com/go-skynet/LocalAI/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=go-skynet/LocalAI" />
-</a>
--- a/api/api.go
+++ b/api/api.go
@@ -1,18 +1,392 @@
 package api

 import (
+	"encoding/json"
 	"errors"
+	"fmt"
+	"strings"
+	"sync"

 	model "github.com/go-skynet/LocalAI/pkg/model"
+	gpt2 "github.com/go-skynet/go-gpt2.cpp"
+	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
+	llama "github.com/go-skynet/go-llama.cpp"
 	"github.com/gofiber/fiber/v2"
 	"github.com/gofiber/fiber/v2/middleware/cors"
-	"github.com/gofiber/fiber/v2/middleware/logger"
 	"github.com/gofiber/fiber/v2/middleware/recover"
 	"github.com/rs/zerolog"
 	"github.com/rs/zerolog/log"
 )

-func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16 bool, debug, disableMessage bool) *fiber.App {
+// APIError provides error information returned by the OpenAI API.
+type APIError struct {
+	Code    any     `json:"code,omitempty"`
+	Message string  `json:"message"`
+	Param   *string `json:"param,omitempty"`
+	Type    string  `json:"type"`
+}
+
+type ErrorResponse struct {
+	Error *APIError `json:"error,omitempty"`
+}
+
+type OpenAIResponse struct {
+	Created int      `json:"created,omitempty"`
+	Object  string   `json:"chat.completion,omitempty"`
+	ID      string   `json:"id,omitempty"`
+	Model   string   `json:"model,omitempty"`
+	Choices []Choice `json:"choices,omitempty"`
+}
+
+type Choice struct {
+	Index        int      `json:"index,omitempty"`
+	FinishReason string   `json:"finish_reason,omitempty"`
+	Message      *Message `json:"message,omitempty"`
+	Text         string   `json:"text,omitempty"`
+}
+
+type Message struct {
+	Role    string `json:"role,omitempty"`
+	Content string `json:"content,omitempty"`
+}
+
+type OpenAIModel struct {
+	ID     string `json:"id"`
+	Object string `json:"object"`
+}
+
+type OpenAIRequest struct {
+	Model string `json:"model"`
+
+	// Prompt is read only by completion API calls
+	Prompt string `json:"prompt"`
+
+	Stop string `json:"stop"`
+
+	// Messages is read only by chat/completion API calls
+	Messages []Message `json:"messages"`
+
+	Echo bool `json:"echo"`
+	// Common options between all the API calls
+	TopP        float64 `json:"top_p"`
+	TopK        int     `json:"top_k"`
+	Temperature float64 `json:"temperature"`
+	Maxtokens   int     `json:"max_tokens"`
+
+	N int `json:"n"`
+
+	// Custom parameters - not present in the OpenAI API
+	Batch         int     `json:"batch"`
+	F16           bool    `json:"f16kv"`
+	IgnoreEOS     bool    `json:"ignore_eos"`
+	RepeatPenalty float64 `json:"repeat_penalty"`
+	Keep          int     `json:"n_keep"`
+
+	Seed int `json:"seed"`
+}
+
+// https://platform.openai.com/docs/api-reference/completions
+func openAIEndpoint(chat, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool, mutexMap *sync.Mutex, mutexes map[string]*sync.Mutex) func(c *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+		var err error
+		var model *llama.LLama
+		var gptModel *gptj.GPTJ
+		var gpt2Model *gpt2.GPT2
+		var stableLMModel *gpt2.StableLM
+
+		input := new(OpenAIRequest)
+		// Get input data from the request body
+		if err := c.BodyParser(input); err != nil {
+			return err
+		}
+		modelFile := input.Model
+		received, _ := json.Marshal(input)
+
+		log.Debug().Msgf("Request received: %s", string(received))
+
+		// Set model from bearer token, if available
+		bearer := strings.TrimLeft(c.Get("authorization"), "Bearer ")
+		bearerExists := bearer != "" && loader.ExistsInModelPath(bearer)
+
+		// If no model was specified, take the first available
+		if modelFile == "" {
+			models, _ := loader.ListModels()
+			if len(models) > 0 {
+				modelFile = models[0]
+				log.Debug().Msgf("No model specified, using: %s", modelFile)
+			}
+		}
+
+		// If no model is found or specified, we bail out
+		if modelFile == "" && !bearerExists {
+			return fmt.Errorf("no model specified")
+		}
+
+		// If a model is found in bearer token takes precedence
+		if bearerExists {
+			log.Debug().Msgf("Using model from bearer token: %s", bearer)
+			modelFile = bearer
+		}
+
+		// Try to load the model
+		var llamaerr, gpt2err, gptjerr, stableerr error
+		llamaOpts := []llama.ModelOption{}
+		if ctx != 0 {
+			llamaOpts = append(llamaOpts, llama.SetContext(ctx))
+		}
+		if f16 {
+			llamaOpts = append(llamaOpts, llama.EnableF16Memory)
+		}
+
+		// TODO: this is ugly, better identifying the model somehow! however, it is a good stab for a first implementation..
+		model, llamaerr = loader.LoadLLaMAModel(modelFile, llamaOpts...)
+		if llamaerr != nil {
+			gptModel, gptjerr = loader.LoadGPTJModel(modelFile)
+			if gptjerr != nil {
+				gpt2Model, gpt2err = loader.LoadGPT2Model(modelFile)
+				if gpt2err != nil {
+					stableLMModel, stableerr = loader.LoadStableLMModel(modelFile)
+					if stableerr != nil {
+						return fmt.Errorf("llama: %s gpt: %s gpt2: %s stableLM: %s", llamaerr.Error(), gptjerr.Error(), gpt2err.Error(), stableerr.Error()) // llama failed first, so we want to catch both errors
+					}
+				}
+			}
+		}
+
+		// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
+		mutexMap.Lock()
+		l, ok := mutexes[modelFile]
+		if !ok {
+			m := &sync.Mutex{}
+			mutexes[modelFile] = m
+			l = m
+		}
+		mutexMap.Unlock()
+		l.Lock()
+		defer l.Unlock()
+
+		// Set the parameters for the language model prediction
+		topP := input.TopP
+		if topP == 0 {
+			topP = 0.7
+		}
+		topK := input.TopK
+		if topK == 0 {
+			topK = 80
+		}
+
+		temperature := input.Temperature
+		if temperature == 0 {
+			temperature = 0.9
+		}
+
+		tokens := input.Maxtokens
+		if tokens == 0 {
+			tokens = 512
+		}
+
+		predInput := input.Prompt
+		if chat {
+			mess := []string{}
+			// TODO: encode roles
+			for _, i := range input.Messages {
+				mess = append(mess, i.Content)
+			}
+
+			predInput = strings.Join(mess, "\n")
+		}
+
+		// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
+		templatedInput, err := loader.TemplatePrefix(modelFile, struct {
+			Input string
+		}{Input: predInput})
+		if err == nil {
+			predInput = templatedInput
+			log.Debug().Msgf("Template found, input modified to: %s", predInput)
+		}
+
+		result := []Choice{}
+
+		n := input.N
+
+		if input.N == 0 {
+			n = 1
+		}
+
+		var predFunc func() (string, error)
+		switch {
+		case stableLMModel != nil:
+			predFunc = func() (string, error) {
+				// Generate the prediction using the language model
+				predictOptions := []gpt2.PredictOption{
+					gpt2.SetTemperature(temperature),
+					gpt2.SetTopP(topP),
+					gpt2.SetTopK(topK),
+					gpt2.SetTokens(tokens),
+					gpt2.SetThreads(threads),
+				}
+
+				if input.Batch != 0 {
+					predictOptions = append(predictOptions, gpt2.SetBatch(input.Batch))
+				}
+
+				if input.Seed != 0 {
+					predictOptions = append(predictOptions, gpt2.SetSeed(input.Seed))
+				}
+
+				return stableLMModel.Predict(
+					predInput,
+					predictOptions...,
+				)
+			}
+		case gpt2Model != nil:
+			predFunc = func() (string, error) {
+				// Generate the prediction using the language model
+				predictOptions := []gpt2.PredictOption{
+					gpt2.SetTemperature(temperature),
+					gpt2.SetTopP(topP),
+					gpt2.SetTopK(topK),
+					gpt2.SetTokens(tokens),
+					gpt2.SetThreads(threads),
+				}
+
+				if input.Batch != 0 {
+					predictOptions = append(predictOptions, gpt2.SetBatch(input.Batch))
+				}
+
+				if input.Seed != 0 {
+					predictOptions = append(predictOptions, gpt2.SetSeed(input.Seed))
+				}
+
+				return gpt2Model.Predict(
+					predInput,
+					predictOptions...,
+				)
+			}
+		case gptModel != nil:
+			predFunc = func() (string, error) {
+				// Generate the prediction using the language model
+				predictOptions := []gptj.PredictOption{
+					gptj.SetTemperature(temperature),
+					gptj.SetTopP(topP),
+					gptj.SetTopK(topK),
+					gptj.SetTokens(tokens),
+					gptj.SetThreads(threads),
+				}
+
+				if input.Batch != 0 {
+					predictOptions = append(predictOptions, gptj.SetBatch(input.Batch))
+				}
+
+				if input.Seed != 0 {
+					predictOptions = append(predictOptions, gptj.SetSeed(input.Seed))
+				}
+
+				return gptModel.Predict(
+					predInput,
+					predictOptions...,
+				)
+			}
+		case model != nil:
+			predFunc = func() (string, error) {
+				// Generate the prediction using the language model
+				predictOptions := []llama.PredictOption{
+					llama.SetTemperature(temperature),
+					llama.SetTopP(topP),
+					llama.SetTopK(topK),
+					llama.SetTokens(tokens),
+					llama.SetThreads(threads),
+				}
+
+				if debug {
+					predictOptions = append(predictOptions, llama.Debug)
+				}
+
+				if input.Stop != "" {
+					predictOptions = append(predictOptions, llama.SetStopWords(input.Stop))
+				}
+
+				if input.RepeatPenalty != 0 {
+					predictOptions = append(predictOptions, llama.SetPenalty(input.RepeatPenalty))
+				}
+
+				if input.Keep != 0 {
+					predictOptions = append(predictOptions, llama.SetNKeep(input.Keep))
+				}
+
+				if input.Batch != 0 {
+					predictOptions = append(predictOptions, llama.SetBatch(input.Batch))
+				}
+
+				if input.F16 {
+					predictOptions = append(predictOptions, llama.EnableF16KV)
+				}
+
+				if input.IgnoreEOS {
+					predictOptions = append(predictOptions, llama.IgnoreEOS)
+				}
+
+				if input.Seed != 0 {
+					predictOptions = append(predictOptions, llama.SetSeed(input.Seed))
+				}
+
+				return model.Predict(
+					predInput,
+					predictOptions...,
+				)
+			}
+		}
+
+		for i := 0; i < n; i++ {
+			prediction, err := predFunc()
+			if err != nil {
+				return err
+			}
+
+			if input.Echo {
+				prediction = predInput + prediction
+			}
+
+			if chat {
+				result = append(result, Choice{Message: &Message{Role: "assistant", Content: prediction}})
+			} else {
+				result = append(result, Choice{Text: prediction})
+			}
+		}
+
+		jsonResult, _ := json.Marshal(result)
+		log.Debug().Msgf("Response: %s", jsonResult)
+
+		// Return the prediction in the response body
+		return c.JSON(OpenAIResponse{
+			Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
+			Choices: result,
+		})
+	}
+}
+
+func listModels(loader *model.ModelLoader) func(ctx *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+		models, err := loader.ListModels()
+		if err != nil {
+			return err
+		}
+
+		dataModels := []OpenAIModel{}
+		for _, m := range models {
+			dataModels = append(dataModels, OpenAIModel{ID: m, Object: "model"})
+		}
+		return c.JSON(struct {
+			Object string        `json:"object"`
+			Data   []OpenAIModel `json:"data"`
+		}{
+			Object: "list",
+			Data:   dataModels,
+		})
+	}
+}
+
+func App(loader *model.ModelLoader, threads, ctxSize int, f16 bool, debug, disableMessage bool) *fiber.App {
 	zerolog.SetGlobalLevel(zerolog.InfoLevel)
 	if debug {
 		zerolog.SetGlobalLevel(zerolog.DebugLevel)
@@ -41,51 +415,23 @@ func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16
 		},
 	})

-	if debug {
-		app.Use(logger.New(logger.Config{
-			Format: "[${ip}]:${port} ${status} - ${method} ${path}\n",
-		}))
-	}
-
-	cm := make(ConfigMerger)
-	if err := cm.LoadConfigs(loader.ModelPath); err != nil {
-		log.Error().Msgf("error loading config files: %s", err.Error())
-	}
-
-	if configFile != "" {
-		if err := cm.LoadConfigFile(configFile); err != nil {
-			log.Error().Msgf("error loading config file: %s", err.Error())
-		}
-	}
-
-	if debug {
-		for k, v := range cm {
-			log.Debug().Msgf("Model: %s (config: %+v)", k, v)
-		}
-	}
 	// Default middleware config
 	app.Use(recover.New())
 	app.Use(cors.New())

+	// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
+	mu := map[string]*sync.Mutex{}
+	var mumutex = &sync.Mutex{}
+
 	// openAI compatible API endpoint
-	app.Post("/v1/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/v1/chat/completions", openAIEndpoint(true, debug, loader, threads, ctxSize, f16, mumutex, mu))
+	app.Post("/chat/completions", openAIEndpoint(true, debug, loader, threads, ctxSize, f16, mumutex, mu))

-	app.Post("/v1/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	app.Post("/v1/completions", openAIEndpoint(false, debug, loader, threads, ctxSize, f16, mumutex, mu))
+	app.Post("/completions", openAIEndpoint(false, debug, loader, threads, ctxSize, f16, mumutex, mu))

-	app.Post("/v1/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
-
-	app.Post("/v1/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
-
-	// /v1/engines/{engine_id}/embeddings
-
-	app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
-
-	app.Get("/v1/models", listModels(loader, cm))
-	app.Get("/models", listModels(loader, cm))
+	app.Get("/v1/models", listModels(loader))
+	app.Get("/models", listModels(loader))

 	return app
 }
--- a/api/api_test.go
+++ b/api/api_test.go
@@ -10,7 +10,6 @@ import (
 	. "github.com/onsi/ginkgo/v2"
 	. "github.com/onsi/gomega"

-	openaigo "github.com/otiai10/openaigo"
 	"github.com/sashabaranov/go-openai"
 )

@@ -19,19 +18,15 @@ var _ = Describe("API test", func() {
 	var app *fiber.App
 	var modelLoader *model.ModelLoader
 	var client *openai.Client
-	var client2 *openaigo.Client
 	Context("API query", func() {
 		BeforeEach(func() {
 			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			app = App("", modelLoader, 1, 512, false, true, true)
+			app = App(modelLoader, 1, 512, false, false, true)
 			go app.Listen("127.0.0.1:9090")

 			defaultConfig := openai.DefaultConfig("")
 			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"

-			client2 = openaigo.NewClient("")
-			client2.BaseURL = defaultConfig.BaseURL
-
 			// Wait for API to be ready
 			client = openai.NewClientWithConfig(defaultConfig)
 			Eventually(func() error {
@@ -45,7 +40,7 @@ var _ = Describe("API test", func() {
 		It("returns the models list", func() {
 			models, err := client.ListModels(context.TODO())
 			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(3))
+			Expect(len(models.Models)).To(Equal(1))
 			Expect(models.Models[0].ID).To(Equal("testmodel"))
 		})
 		It("can generate completions", func() {
@@ -54,85 +49,10 @@ var _ = Describe("API test", func() {
 			Expect(len(resp.Choices)).To(Equal(1))
 			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
 		})
-
-		It("can generate chat completions ", func() {
-			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "testmodel", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
-		})
-
-		It("can generate completions from model configs", func() {
-			resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "gpt4all", Prompt: "abcdedfghikl"})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
-		})
-
-		It("can generate chat completions from model configs", func() {
-			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "gpt4all-2", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
-		})
-
 		It("returns errors", func() {
 			_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: "abcdedfghikl"})
 			Expect(err).To(HaveOccurred())
-			Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 5 errors occurred:"))
-		})
-
-	})
-
-	Context("Config file", func() {
-		BeforeEach(func() {
-			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			app = App(os.Getenv("CONFIG_FILE"), modelLoader, 1, 512, false, true, true)
-			go app.Listen("127.0.0.1:9090")
-
-			defaultConfig := openai.DefaultConfig("")
-			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
-			client2 = openaigo.NewClient("")
-			client2.BaseURL = defaultConfig.BaseURL
-			// Wait for API to be ready
-			client = openai.NewClientWithConfig(defaultConfig)
-			Eventually(func() error {
-				_, err := client.ListModels(context.TODO())
-				return err
-			}, "2m").ShouldNot(HaveOccurred())
-		})
-		AfterEach(func() {
-			app.Shutdown()
-		})
-		It("can generate chat completions from config file", func() {
-
-			models, err := client.ListModels(context.TODO())
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(5))
-			Expect(models.Models[0].ID).To(Equal("testmodel"))
-		})
-		It("can generate chat completions from config file", func() {
-			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
-		})
-		It("can generate chat completions from config file", func() {
-			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list2", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
-		})
-		It("can generate edit completions from config file", func() {
-			request := openaigo.EditCreateRequestBody{
-				Model:       "list2",
-				Instruction: "foo",
-				Input:       "bar",
-			}
-			resp, err := client2.CreateEdit(context.Background(), request)
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
+			Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: llama: model does not exist"))
 		})
 	})
 })
--- a/api/config.go
+++ b/api/config.go
@@ -1,281 +0,0 @@
-package api
-
-import (
-	"encoding/json"
-	"fmt"
-	"io/ioutil"
-	"os"
-	"path/filepath"
-	"strings"
-
-	model "github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/gofiber/fiber/v2"
-	"github.com/rs/zerolog/log"
-	"gopkg.in/yaml.v3"
-)
-
-type Config struct {
-	OpenAIRequest  `yaml:"parameters"`
-	Name           string            `yaml:"name"`
-	StopWords      []string          `yaml:"stopwords"`
-	Cutstrings     []string          `yaml:"cutstrings"`
-	TrimSpace      []string          `yaml:"trimspace"`
-	ContextSize    int               `yaml:"context_size"`
-	F16            bool              `yaml:"f16"`
-	Threads        int               `yaml:"threads"`
-	Debug          bool              `yaml:"debug"`
-	Roles          map[string]string `yaml:"roles"`
-	Embeddings     bool              `yaml:"embeddings"`
-	Backend        string            `yaml:"backend"`
-	TemplateConfig TemplateConfig    `yaml:"template"`
-	MirostatETA    float64           `yaml:"mirostat_eta"`
-	MirostatTAU    float64           `yaml:"mirostat_tau"`
-	Mirostat       int               `yaml:"mirostat"`
-
-	PromptStrings, InputStrings []string
-}
-
-type TemplateConfig struct {
-	Completion string `yaml:"completion"`
-	Chat       string `yaml:"chat"`
-	Edit       string `yaml:"edit"`
-}
-
-type ConfigMerger map[string]Config
-
-func ReadConfigFile(file string) ([]*Config, error) {
-	c := &[]*Config{}
-	f, err := os.ReadFile(file)
-	if err != nil {
-		return nil, fmt.Errorf("cannot read config file: %w", err)
-	}
-	if err := yaml.Unmarshal(f, c); err != nil {
-		return nil, fmt.Errorf("cannot unmarshal config file: %w", err)
-	}
-
-	return *c, nil
-}
-
-func ReadConfig(file string) (*Config, error) {
-	c := &Config{}
-	f, err := os.ReadFile(file)
-	if err != nil {
-		return nil, fmt.Errorf("cannot read config file: %w", err)
-	}
-	if err := yaml.Unmarshal(f, c); err != nil {
-		return nil, fmt.Errorf("cannot unmarshal config file: %w", err)
-	}
-
-	return c, nil
-}
-
-func (cm ConfigMerger) LoadConfigFile(file string) error {
-	c, err := ReadConfigFile(file)
-	if err != nil {
-		return fmt.Errorf("cannot load config file: %w", err)
-	}
-
-	for _, cc := range c {
-		cm[cc.Name] = *cc
-	}
-	return nil
-}
-
-func (cm ConfigMerger) LoadConfig(file string) error {
-	c, err := ReadConfig(file)
-	if err != nil {
-		return fmt.Errorf("cannot read config file: %w", err)
-	}
-
-	cm[c.Name] = *c
-	return nil
-}
-
-func (cm ConfigMerger) LoadConfigs(path string) error {
-	files, err := ioutil.ReadDir(path)
-	if err != nil {
-		return err
-	}
-
-	for _, file := range files {
-		// Skip templates, YAML and .keep files
-		if !strings.Contains(file.Name(), ".yaml") {
-			continue
-		}
-		c, err := ReadConfig(filepath.Join(path, file.Name()))
-		if err == nil {
-			cm[c.Name] = *c
-		}
-	}
-
-	return nil
-}
-
-func updateConfig(config *Config, input *OpenAIRequest) {
-	if input.Echo {
-		config.Echo = input.Echo
-	}
-	if input.TopK != 0 {
-		config.TopK = input.TopK
-	}
-	if input.TopP != 0 {
-		config.TopP = input.TopP
-	}
-
-	if input.Temperature != 0 {
-		config.Temperature = input.Temperature
-	}
-
-	if input.Maxtokens != 0 {
-		config.Maxtokens = input.Maxtokens
-	}
-
-	switch stop := input.Stop.(type) {
-	case string:
-		if stop != "" {
-			config.StopWords = append(config.StopWords, stop)
-		}
-	case []interface{}:
-		for _, pp := range stop {
-			if s, ok := pp.(string); ok {
-				config.StopWords = append(config.StopWords, s)
-			}
-		}
-	}
-
-	if input.RepeatPenalty != 0 {
-		config.RepeatPenalty = input.RepeatPenalty
-	}
-
-	if input.Keep != 0 {
-		config.Keep = input.Keep
-	}
-
-	if input.Batch != 0 {
-		config.Batch = input.Batch
-	}
-
-	if input.F16 {
-		config.F16 = input.F16
-	}
-
-	if input.IgnoreEOS {
-		config.IgnoreEOS = input.IgnoreEOS
-	}
-
-	if input.Seed != 0 {
-		config.Seed = input.Seed
-	}
-
-	if input.Mirostat != 0 {
-		config.Mirostat = input.Mirostat
-	}
-
-	if input.MirostatETA != 0 {
-		config.MirostatETA = input.MirostatETA
-	}
-
-	if input.MirostatTAU != 0 {
-		config.MirostatTAU = input.MirostatTAU
-	}
-
-	switch inputs := input.Input.(type) {
-	case string:
-		if inputs != "" {
-			config.InputStrings = append(config.InputStrings, inputs)
-		}
-	case []interface{}:
-		for _, pp := range inputs {
-			if s, ok := pp.(string); ok {
-				config.InputStrings = append(config.InputStrings, s)
-			}
-		}
-	}
-
-	switch p := input.Prompt.(type) {
-	case string:
-		config.PromptStrings = append(config.PromptStrings, p)
-	case []interface{}:
-		for _, pp := range p {
-			if s, ok := pp.(string); ok {
-				config.PromptStrings = append(config.PromptStrings, s)
-			}
-		}
-	}
-}
-
-func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
-	input := new(OpenAIRequest)
-	// Get input data from the request body
-	if err := c.BodyParser(input); err != nil {
-		return nil, nil, err
-	}
-
-	modelFile := input.Model
-
-	if c.Params("model") != "" {
-		modelFile = c.Params("model")
-	}
-
-	received, _ := json.Marshal(input)
-
-	log.Debug().Msgf("Request received: %s", string(received))
-
-	// Set model from bearer token, if available
-	bearer := strings.TrimLeft(c.Get("authorization"), "Bearer ")
-	bearerExists := bearer != "" && loader.ExistsInModelPath(bearer)
-
-	// If no model was specified, take the first available
-	if modelFile == "" && !bearerExists {
-		models, _ := loader.ListModels()
-		if len(models) > 0 {
-			modelFile = models[0]
-			log.Debug().Msgf("No model specified, using: %s", modelFile)
-		} else {
-			log.Debug().Msgf("No model specified, returning error")
-			return nil, nil, fmt.Errorf("no model specified")
-		}
-	}
-
-	// If a model is found in bearer token takes precedence
-	if bearerExists {
-		log.Debug().Msgf("Using model from bearer token: %s", bearer)
-		modelFile = bearer
-	}
-
-	// Load a config file if present after the model name
-	modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
-	if _, err := os.Stat(modelConfig); err == nil {
-		if err := cm.LoadConfig(modelConfig); err != nil {
-			return nil, nil, fmt.Errorf("failed loading model config (%s) %s", modelConfig, err.Error())
-		}
-	}
-
-	var config *Config
-	cfg, exists := cm[modelFile]
-	if !exists {
-		config = &Config{
-			OpenAIRequest: defaultRequest(modelFile),
-			ContextSize:   ctx,
-			Threads:       threads,
-			F16:           f16,
-			Debug:         debug,
-		}
-	} else {
-		config = &cfg
-	}
-
-	// Set the parameters for the language model prediction
-	updateConfig(config, input)
-
-	// Don't allow 0 as setting
-	if config.Threads == 0 {
-		if threads != 0 {
-			config.Threads = threads
-		} else {
-			config.Threads = 4
-		}
-	}
-
-	return config, input, nil
-}
--- a/api/openai.go
+++ b/api/openai.go
@@ -1,403 +0,0 @@
-package api
-
-import (
-	"bufio"
-	"bytes"
-	"encoding/json"
-	"fmt"
-	"strings"
-
-	model "github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/gofiber/fiber/v2"
-	"github.com/rs/zerolog/log"
-	"github.com/valyala/fasthttp"
-)
-
-// APIError provides error information returned by the OpenAI API.
-type APIError struct {
-	Code    any     `json:"code,omitempty"`
-	Message string  `json:"message"`
-	Param   *string `json:"param,omitempty"`
-	Type    string  `json:"type"`
-}
-
-type ErrorResponse struct {
-	Error *APIError `json:"error,omitempty"`
-}
-
-type OpenAIUsage struct {
-	PromptTokens     int `json:"prompt_tokens"`
-	CompletionTokens int `json:"completion_tokens"`
-	TotalTokens      int `json:"total_tokens"`
-}
-
-type Item struct {
-	Embedding []float32 `json:"embedding"`
-	Index     int       `json:"index"`
-	Object    string    `json:"object,omitempty"`
-}
-
-type OpenAIResponse struct {
-	Created int      `json:"created,omitempty"`
-	Object  string   `json:"object,omitempty"`
-	ID      string   `json:"id,omitempty"`
-	Model   string   `json:"model,omitempty"`
-	Choices []Choice `json:"choices,omitempty"`
-	Data    []Item   `json:"data,omitempty"`
-
-	Usage OpenAIUsage `json:"usage"`
-}
-
-type Choice struct {
-	Index        int      `json:"index,omitempty"`
-	FinishReason string   `json:"finish_reason,omitempty"`
-	Message      *Message `json:"message,omitempty"`
-	Delta        *Message `json:"delta,omitempty"`
-	Text         string   `json:"text,omitempty"`
-}
-
-type Message struct {
-	Role    string `json:"role,omitempty" yaml:"role"`
-	Content string `json:"content,omitempty" yaml:"content"`
-}
-
-type OpenAIModel struct {
-	ID     string `json:"id"`
-	Object string `json:"object"`
-}
-
-type OpenAIRequest struct {
-	Model string `json:"model" yaml:"model"`
-
-	// Prompt is read only by completion API calls
-	Prompt interface{} `json:"prompt" yaml:"prompt"`
-
-	// Edit endpoint
-	Instruction string      `json:"instruction" yaml:"instruction"`
-	Input       interface{} `json:"input" yaml:"input"`
-
-	Stop interface{} `json:"stop" yaml:"stop"`
-
-	// Messages is read only by chat/completion API calls
-	Messages []Message `json:"messages" yaml:"messages"`
-
-	Stream bool `json:"stream"`
-	Echo   bool `json:"echo"`
-	// Common options between all the API calls
-	TopP        float64 `json:"top_p" yaml:"top_p"`
-	TopK        int     `json:"top_k" yaml:"top_k"`
-	Temperature float64 `json:"temperature" yaml:"temperature"`
-	Maxtokens   int     `json:"max_tokens" yaml:"max_tokens"`
-
-	N int `json:"n"`
-
-	// Custom parameters - not present in the OpenAI API
-	Batch         int     `json:"batch" yaml:"batch"`
-	F16           bool    `json:"f16" yaml:"f16"`
-	IgnoreEOS     bool    `json:"ignore_eos" yaml:"ignore_eos"`
-	RepeatPenalty float64 `json:"repeat_penalty" yaml:"repeat_penalty"`
-	Keep          int     `json:"n_keep" yaml:"n_keep"`
-
-	MirostatETA float64 `json:"mirostat_eta" yaml:"mirostat_eta"`
-	MirostatTAU float64 `json:"mirostat_tau" yaml:"mirostat_tau"`
-	Mirostat    int     `json:"mirostat" yaml:"mirostat"`
-
-	Seed int `json:"seed" yaml:"seed"`
-}
-
-func defaultRequest(modelFile string) OpenAIRequest {
-	return OpenAIRequest{
-		TopP:        0.7,
-		TopK:        80,
-		Maxtokens:   512,
-		Temperature: 0.9,
-		Model:       modelFile,
-	}
-}
-
-// https://platform.openai.com/docs/api-reference/completions
-func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
-		if err != nil {
-			return fmt.Errorf("failed reading parameters from request:%w", err)
-		}
-
-		log.Debug().Msgf("Parameter Config: %+v", config)
-
-		templateFile := config.Model
-
-		if config.TemplateConfig.Completion != "" {
-			templateFile = config.TemplateConfig.Completion
-		}
-
-		var result []Choice
-		for _, i := range config.PromptStrings {
-			// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-			templatedInput, err := loader.TemplatePrefix(templateFile, struct {
-				Input string
-			}{Input: i})
-			if err == nil {
-				i = templatedInput
-				log.Debug().Msgf("Template found, input modified to: %s", i)
-			}
-
-			r, err := ComputeChoices(i, input, config, loader, func(s string, c *[]Choice) {
-				*c = append(*c, Choice{Text: s})
-			}, nil)
-			if err != nil {
-				return err
-			}
-
-			result = append(result, r...)
-		}
-
-		resp := &OpenAIResponse{
-			Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
-			Choices: result,
-			Object:  "text_completion",
-		}
-
-		jsonResult, _ := json.Marshal(resp)
-		log.Debug().Msgf("Response: %s", jsonResult)
-
-		// Return the prediction in the response body
-		return c.JSON(resp)
-	}
-}
-
-// https://platform.openai.com/docs/api-reference/embeddings
-func embeddingsEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
-		if err != nil {
-			return fmt.Errorf("failed reading parameters from request:%w", err)
-		}
-
-		log.Debug().Msgf("Parameter Config: %+v", config)
-		items := []Item{}
-
-		for i, s := range config.InputStrings {
-
-			// get the model function to call for the result
-			embedFn, err := ModelEmbedding(s, loader, *config)
-			if err != nil {
-				return err
-			}
-
-			embeddings, err := embedFn()
-			if err != nil {
-				return err
-			}
-			items = append(items, Item{Embedding: embeddings, Index: i, Object: "embedding"})
-		}
-
-		resp := &OpenAIResponse{
-			Model:  input.Model, // we have to return what the user sent here, due to OpenAI spec.
-			Data:   items,
-			Object: "list",
-		}
-
-		jsonResult, _ := json.Marshal(resp)
-		log.Debug().Msgf("Response: %s", jsonResult)
-
-		// Return the prediction in the response body
-		return c.JSON(resp)
-	}
-}
-
-func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
-
-	process := func(s string, req *OpenAIRequest, config *Config, loader *model.ModelLoader, responses chan OpenAIResponse) {
-		ComputeChoices(s, req, config, 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{Role: "assistant", Content: s}}},
-				Object:  "chat.completion.chunk",
-			}
-			log.Debug().Msgf("Sending goroutine: %s", s)
-
-			responses <- resp
-			return true
-		})
-		close(responses)
-	}
-	return func(c *fiber.Ctx) error {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
-		if err != nil {
-			return fmt.Errorf("failed reading parameters from request:%w", err)
-		}
-
-		log.Debug().Msgf("Parameter Config: %+v", config)
-
-		var predInput string
-
-		mess := []string{}
-		for _, i := range input.Messages {
-			r := config.Roles[i.Role]
-			if r == "" {
-				r = i.Role
-			}
-
-			content := fmt.Sprint(r, " ", i.Content)
-			mess = append(mess, content)
-		}
-
-		predInput = strings.Join(mess, "\n")
-
-		if input.Stream {
-			log.Debug().Msgf("Stream request received")
-			c.Context().SetContentType("text/event-stream")
-			//c.Response().Header.SetContentType(fiber.MIMETextHTMLCharsetUTF8)
-			//	c.Set("Content-Type", "text/event-stream")
-			c.Set("Cache-Control", "no-cache")
-			c.Set("Connection", "keep-alive")
-			c.Set("Transfer-Encoding", "chunked")
-		}
-
-		templateFile := config.Model
-
-		if config.TemplateConfig.Chat != "" {
-			templateFile = config.TemplateConfig.Chat
-		}
-
-		// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-		templatedInput, err := loader.TemplatePrefix(templateFile, struct {
-			Input string
-		}{Input: predInput})
-		if err == nil {
-			predInput = templatedInput
-			log.Debug().Msgf("Template found, input modified to: %s", predInput)
-		}
-
-		if input.Stream {
-			responses := make(chan OpenAIResponse)
-
-			go process(predInput, input, config, loader, responses)
-
-			c.Context().SetBodyStreamWriter(fasthttp.StreamWriter(func(w *bufio.Writer) {
-
-				for ev := range responses {
-					var buf bytes.Buffer
-					enc := json.NewEncoder(&buf)
-					enc.Encode(ev)
-
-					fmt.Fprintf(w, "event: data\n\n")
-					fmt.Fprintf(w, "data: %v\n\n", buf.String())
-					log.Debug().Msgf("Sending chunk: %s", buf.String())
-					w.Flush()
-				}
-
-				w.WriteString("event: data\n\n")
-				resp := &OpenAIResponse{
-					Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
-					Choices: []Choice{{FinishReason: "stop"}},
-				}
-				respData, _ := json.Marshal(resp)
-
-				w.WriteString(fmt.Sprintf("data: %s\n\n", respData))
-				w.Flush()
-			}))
-			return nil
-		}
-
-		result, err := ComputeChoices(predInput, input, config, loader, func(s string, c *[]Choice) {
-			*c = append(*c, Choice{Message: &Message{Role: "assistant", Content: s}})
-		}, nil)
-		if err != nil {
-			return err
-		}
-
-		resp := &OpenAIResponse{
-			Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
-			Choices: result,
-			Object:  "chat.completion",
-		}
-		respData, _ := json.Marshal(resp)
-		log.Debug().Msgf("Response: %s", respData)
-
-		// Return the prediction in the response body
-		return c.JSON(resp)
-	}
-}
-
-func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
-		if err != nil {
-			return fmt.Errorf("failed reading parameters from request:%w", err)
-		}
-
-		log.Debug().Msgf("Parameter Config: %+v", config)
-
-		templateFile := config.Model
-
-		if config.TemplateConfig.Edit != "" {
-			templateFile = config.TemplateConfig.Edit
-		}
-
-		var result []Choice
-		for _, i := range config.InputStrings {
-			// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-			templatedInput, err := loader.TemplatePrefix(templateFile, struct {
-				Input       string
-				Instruction string
-			}{Input: i})
-			if err == nil {
-				i = templatedInput
-				log.Debug().Msgf("Template found, input modified to: %s", i)
-			}
-
-			r, err := ComputeChoices(i, input, config, loader, func(s string, c *[]Choice) {
-				*c = append(*c, Choice{Text: s})
-			}, nil)
-			if err != nil {
-				return err
-			}
-
-			result = append(result, r...)
-		}
-
-		resp := &OpenAIResponse{
-			Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
-			Choices: result,
-			Object:  "edit",
-		}
-
-		jsonResult, _ := json.Marshal(resp)
-		log.Debug().Msgf("Response: %s", jsonResult)
-
-		// Return the prediction in the response body
-		return c.JSON(resp)
-	}
-}
-
-func listModels(loader *model.ModelLoader, cm ConfigMerger) func(ctx *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		models, err := loader.ListModels()
-		if err != nil {
-			return err
-		}
-		var mm map[string]interface{} = map[string]interface{}{}
-
-		dataModels := []OpenAIModel{}
-		for _, m := range models {
-			mm[m] = nil
-			dataModels = append(dataModels, OpenAIModel{ID: m, Object: "model"})
-		}
-
-		for k := range cm {
-			if _, exists := mm[k]; !exists {
-				dataModels = append(dataModels, OpenAIModel{ID: k, Object: "model"})
-			}
-		}
-
-		return c.JSON(struct {
-			Object string        `json:"object"`
-			Data   []OpenAIModel `json:"data"`
-		}{
-			Object: "list",
-			Data:   dataModels,
-		})
-	}
-}
--- a/api/prediction.go
+++ b/api/prediction.go
@@ -1,358 +0,0 @@
-package api
-
-import (
-	"fmt"
-	"regexp"
-	"strings"
-	"sync"
-
-	"github.com/donomii/go-rwkv.cpp"
-	model "github.com/go-skynet/LocalAI/pkg/model"
-	gpt2 "github.com/go-skynet/go-gpt2.cpp"
-	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
-	llama "github.com/go-skynet/go-llama.cpp"
-)
-
-// mutex still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
-var mutexMap sync.Mutex
-var mutexes map[string]*sync.Mutex = make(map[string]*sync.Mutex)
-
-func defaultLLamaOpts(c Config) []llama.ModelOption {
-	llamaOpts := []llama.ModelOption{}
-	if c.ContextSize != 0 {
-		llamaOpts = append(llamaOpts, llama.SetContext(c.ContextSize))
-	}
-	if c.F16 {
-		llamaOpts = append(llamaOpts, llama.EnableF16Memory)
-	}
-	if c.Embeddings {
-		llamaOpts = append(llamaOpts, llama.EnableEmbeddings)
-	}
-
-	return llamaOpts
-}
-
-func ModelEmbedding(s string, loader *model.ModelLoader, c Config) (func() ([]float32, error), error) {
-	if !c.Embeddings {
-		return nil, fmt.Errorf("endpoint disabled for this model by API configuration")
-	}
-
-	modelFile := c.Model
-
-	llamaOpts := defaultLLamaOpts(c)
-
-	var inferenceModel interface{}
-	var err error
-	if c.Backend == "" {
-		inferenceModel, err = loader.GreedyLoader(modelFile, llamaOpts, uint32(c.Threads))
-	} else {
-		inferenceModel, err = loader.BackendLoader(c.Backend, modelFile, llamaOpts, uint32(c.Threads))
-	}
-	if err != nil {
-		return nil, err
-	}
-
-	var fn func() ([]float32, error)
-	switch model := inferenceModel.(type) {
-	case *llama.LLama:
-		fn = func() ([]float32, error) {
-			predictOptions := buildLLamaPredictOptions(c)
-			return model.Embeddings(s, predictOptions...)
-		}
-	default:
-		fn = func() ([]float32, error) {
-			return nil, fmt.Errorf("embeddings not supported by the backend")
-		}
-	}
-
-	return func() ([]float32, error) {
-		// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
-		mutexMap.Lock()
-		l, ok := mutexes[modelFile]
-		if !ok {
-			m := &sync.Mutex{}
-			mutexes[modelFile] = m
-			l = m
-		}
-		mutexMap.Unlock()
-		l.Lock()
-		defer l.Unlock()
-
-		embeds, err := fn()
-		if err != nil {
-			return embeds, err
-		}
-		// Remove trailing 0s
-		for i := len(embeds) - 1; i >= 0; i-- {
-			if embeds[i] == 0.0 {
-				embeds = embeds[:i]
-			} else {
-				break
-			}
-		}
-		return embeds, nil
-	}, nil
-}
-
-func buildLLamaPredictOptions(c Config) []llama.PredictOption {
-	// Generate the prediction using the language model
-	predictOptions := []llama.PredictOption{
-		llama.SetTemperature(c.Temperature),
-		llama.SetTopP(c.TopP),
-		llama.SetTopK(c.TopK),
-		llama.SetTokens(c.Maxtokens),
-		llama.SetThreads(c.Threads),
-	}
-
-	if c.Mirostat != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostat(c.Mirostat))
-	}
-
-	if c.MirostatETA != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostatETA(c.MirostatETA))
-	}
-
-	if c.MirostatTAU != 0 {
-		predictOptions = append(predictOptions, llama.SetMirostatTAU(c.MirostatTAU))
-	}
-
-	if c.Debug {
-		predictOptions = append(predictOptions, llama.Debug)
-	}
-
-	predictOptions = append(predictOptions, llama.SetStopWords(c.StopWords...))
-
-	if c.RepeatPenalty != 0 {
-		predictOptions = append(predictOptions, llama.SetPenalty(c.RepeatPenalty))
-	}
-
-	if c.Keep != 0 {
-		predictOptions = append(predictOptions, llama.SetNKeep(c.Keep))
-	}
-
-	if c.Batch != 0 {
-		predictOptions = append(predictOptions, llama.SetBatch(c.Batch))
-	}
-
-	if c.F16 {
-		predictOptions = append(predictOptions, llama.EnableF16KV)
-	}
-
-	if c.IgnoreEOS {
-		predictOptions = append(predictOptions, llama.IgnoreEOS)
-	}
-
-	if c.Seed != 0 {
-		predictOptions = append(predictOptions, llama.SetSeed(c.Seed))
-	}
-
-	return predictOptions
-}
-
-func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback func(string) bool) (func() (string, error), error) {
-	supportStreams := false
-	modelFile := c.Model
-
-	llamaOpts := defaultLLamaOpts(c)
-
-	var inferenceModel interface{}
-	var err error
-	if c.Backend == "" {
-		inferenceModel, err = loader.GreedyLoader(modelFile, llamaOpts, uint32(c.Threads))
-	} else {
-		inferenceModel, err = loader.BackendLoader(c.Backend, modelFile, llamaOpts, uint32(c.Threads))
-	}
-	if err != nil {
-		return nil, err
-	}
-
-	var fn func() (string, error)
-
-	switch model := inferenceModel.(type) {
-	case *rwkv.RwkvState:
-		supportStreams = true
-
-		fn = func() (string, error) {
-			stopWord := "\n"
-			if len(c.StopWords) > 0 {
-				stopWord = c.StopWords[0]
-			}
-
-			if err := model.ProcessInput(s); err != nil {
-				return "", err
-			}
-
-			response := model.GenerateResponse(c.Maxtokens, stopWord, float32(c.Temperature), float32(c.TopP), tokenCallback)
-
-			return response, nil
-		}
-	case *gpt2.StableLM:
-		fn = func() (string, error) {
-			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
-			}
-
-			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
-			}
-
-			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
-			}
-
-			return model.Predict(
-				s,
-				predictOptions...,
-			)
-		}
-	case *gpt2.GPT2:
-		fn = func() (string, error) {
-			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
-			}
-
-			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
-			}
-
-			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
-			}
-
-			return model.Predict(
-				s,
-				predictOptions...,
-			)
-		}
-	case *gptj.GPTJ:
-		fn = func() (string, error) {
-			// Generate the prediction using the language model
-			predictOptions := []gptj.PredictOption{
-				gptj.SetTemperature(c.Temperature),
-				gptj.SetTopP(c.TopP),
-				gptj.SetTopK(c.TopK),
-				gptj.SetTokens(c.Maxtokens),
-				gptj.SetThreads(c.Threads),
-			}
-
-			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gptj.SetBatch(c.Batch))
-			}
-
-			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gptj.SetSeed(c.Seed))
-			}
-
-			return model.Predict(
-				s,
-				predictOptions...,
-			)
-		}
-	case *llama.LLama:
-		supportStreams = true
-		fn = func() (string, error) {
-
-			if tokenCallback != nil {
-				model.SetTokenCallback(tokenCallback)
-			}
-
-			predictOptions := buildLLamaPredictOptions(c)
-
-			str, er := model.Predict(
-				s,
-				predictOptions...,
-			)
-			// Seems that if we don't free the callback explicitly we leave functions registered (that might try to send on closed channels)
-			// For instance otherwise the API returns: {"error":{"code":500,"message":"send on closed channel","type":""}}
-			// after a stream event has occurred
-			model.SetTokenCallback(nil)
-			return str, er
-		}
-	}
-
-	return func() (string, error) {
-		// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
-		mutexMap.Lock()
-		l, ok := mutexes[modelFile]
-		if !ok {
-			m := &sync.Mutex{}
-			mutexes[modelFile] = m
-			l = m
-		}
-		mutexMap.Unlock()
-		l.Lock()
-		defer l.Unlock()
-
-		res, err := fn()
-		if tokenCallback != nil && !supportStreams {
-			tokenCallback(res)
-		}
-		return res, err
-	}, nil
-}
-
-func ComputeChoices(predInput string, input *OpenAIRequest, config *Config, loader *model.ModelLoader, cb func(string, *[]Choice), tokenCallback func(string) bool) ([]Choice, error) {
-	result := []Choice{}
-
-	n := input.N
-
-	if input.N == 0 {
-		n = 1
-	}
-
-	// get the model function to call for the result
-	predFunc, err := ModelInference(predInput, loader, *config, tokenCallback)
-	if err != nil {
-		return result, err
-	}
-
-	for i := 0; i < n; i++ {
-		prediction, err := predFunc()
-		if err != nil {
-			return result, err
-		}
-
-		prediction = Finetune(*config, predInput, prediction)
-		cb(prediction, &result)
-
-		//result = append(result, Choice{Text: prediction})
-
-	}
-	return result, err
-}
-
-var cutstrings map[string]*regexp.Regexp = make(map[string]*regexp.Regexp)
-var mu sync.Mutex = sync.Mutex{}
-
-func Finetune(config Config, input, prediction string) string {
-	if config.Echo {
-		prediction = input + prediction
-	}
-
-	for _, c := range config.Cutstrings {
-		mu.Lock()
-		reg, ok := cutstrings[c]
-		if !ok {
-			cutstrings[c] = regexp.MustCompile(c)
-			reg = cutstrings[c]
-		}
-		mu.Unlock()
-		prediction = reg.ReplaceAllString(prediction, "")
-	}
-
-	for _, c := range config.TrimSpace {
-		prediction = strings.TrimSpace(strings.TrimPrefix(prediction, c))
-	}
-	return prediction
-
-}
--- a/charts/local-ai/Chart.yaml
+++ b/charts/local-ai/Chart.yaml
@@ -0,0 +1,6 @@
+apiVersion: v2
+appVersion: 0.1.0
+description: A Helm chart for LocalAI
+name: local-ai
+type: application
+version: 1.0.0
--- a/charts/local-ai/templates/_helpers.tpl
+++ b/charts/local-ai/templates/_helpers.tpl
@@ -0,0 +1,44 @@
+{{/*
+Expand the name of the chart.
+*/}}
+{{- define "local-ai.name" -}}
+{{- default .Chart.Name .Values.nameOverride | trunc 63 | trimSuffix "-" }}
+{{- end }}
+
+{{/*
+Create a default fully qualified app name.
+We truncate at 63 chars because some Kubernetes name fields are limited to this (by the DNS naming spec).
+If release name contains chart name it will be used as a full name.
+*/}}
+{{- define "local-ai.fullname" -}}
+{{- if .Values.fullnameOverride }}
+{{- .Values.fullnameOverride | trunc 63 | trimSuffix "-" }}
+{{- else }}
+{{- $name := default .Chart.Name .Values.nameOverride }}
+{{- if contains $name .Release.Name }}
+{{- .Release.Name | trunc 63 | trimSuffix "-" }}
+{{- else }}
+{{- printf "%s-%s" .Release.Name $name | trunc 63 | trimSuffix "-" }}
+{{- end }}
+{{- end }}
+{{- end }}
+
+{{/*
+Create chart name and version as used by the chart label.
+*/}}
+{{- define "local-ai.chart" -}}
+{{- printf "%s-%s" .Chart.Name .Chart.Version | replace "+" "_" | trunc 63 | trimSuffix "-" }}
+{{- end }}
+
+{{/*
+Common labels
+*/}}
+{{- define "local-ai.labels" -}}
+helm.sh/chart: {{ include "local-ai.chart" . }}
+app.kubernetes.io/name: {{ include "local-ai.name" . }}
+app.kubernetes.io/instance: "{{ .Release.Name }}"
+app.kubernetes.io/managed-by: {{ .Release.Service }}
+{{- if .Chart.AppVersion }}
+app.kubernetes.io/version: {{ .Chart.AppVersion | quote }}
+{{- end }}
+{{- end }}
--- a/charts/local-ai/templates/data-volume.yaml
+++ b/charts/local-ai/templates/data-volume.yaml
@@ -0,0 +1,39 @@
+{{- if .Values.dataVolume.enabled }}
+apiVersion: cdi.kubevirt.io/v1beta1
+kind: DataVolume
+metadata:
+  name: {{ template "local-ai.fullname" . }}
+  namespace: {{ .Release.Namespace | quote }}
+  labels:
+    {{- include "local-ai.labels" . | nindent 4 }}
+spec:
+  contentType: archive
+  source:
+    {{ .Values.dataVolume.source.type }}:
+      url: {{ .Values.dataVolume.source.url }}
+      secretRef: {{ template "local-ai.fullname" . }}
+      {{- if and (eq .Values.dataVolume.source.type "http") .Values.dataVolume.source.secretExtraHeaders }}
+      secretExtraHeaders: {{ .Values.dataVolume.source.secretExtraHeaders }}
+      {{- end }}
+      {{- if .Values.dataVolume.source.caCertConfigMap }}
+      caCertConfigMap: {{ .Values.dataVolume.source.caCertConfigMap }}
+      {{- end }}
+  pvc:
+    accessModes: {{ .Values.dataVolume.pvc.accessModes }}
+    resources:
+      requests:
+        storage: {{ .Values.dataVolume.pvc.size }}
+---
+{{- if .Values.dataVolume.secret.enabled }}
+apiVersion: v1
+kind: Secret
+metadata:
+  name: {{ template "local-ai.fullname" . }}
+  namespace: {{ .Release.Namespace | quote }}
+  labels:
+    {{- include "local-ai.labels" . | nindent 4 }}
+data:
+  accessKeyId: {{ .Values.dataVolume.secret.username }}
+  secretKey: {{ .Values.dataVolume.secret.password }}
+{{- end }}
+{{- end }}
--- a/charts/local-ai/templates/deployment.yaml
+++ b/charts/local-ai/templates/deployment.yaml
@@ -0,0 +1,39 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: {{ template "local-ai.fullname" . }}
+  namespace: {{ .Release.Namespace | quote }}
+  labels:
+    {{- include "local-ai.labels" . | nindent 4 }}
+spec:
+  selector:
+    matchLabels:
+      app.kubernetes.io/name: {{ include "local-ai.name" . }}
+      app.kubernetes.io/instance: {{ .Release.Name }}
+  replicas: 1
+  template:
+    metadata:
+      name: {{ template "local-ai.fullname" . }}
+      labels:
+        app.kubernetes.io/name: {{ include "local-ai.name" . }}
+        app.kubernetes.io/instance: {{ .Release.Name }}
+    spec:
+      containers:
+        - name: {{ template "local-ai.fullname" . }}
+          image: {{ .Values.deployment.image }}
+          env:
+          - name: THREADS
+            value: {{ .Values.deployment.env.threads | quote }}
+          - name: CONTEXT_SIZE
+            value: {{ .Values.deployment.env.contextSize | quote }}
+          - name: MODELS_PATH
+            value: {{ .Values.deployment.env.modelsPath }}
+{{- if .Values.deployment.volume.enabled }}
+          volumeMounts:
+          - mountPath: {{ .Values.deployment.env.modelsPath }}
+            name: models
+      volumes:
+      - name: models
+        persistentVolumeClaim:
+          claimName: {{ template "local-ai.fullname" . }}
+{{- end }}
--- a/charts/local-ai/templates/service.yaml
+++ b/charts/local-ai/templates/service.yaml
@@ -0,0 +1,19 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: {{ template "local-ai.fullname" . }}
+  namespace: {{ .Release.Namespace | quote }}
+  labels:
+    {{- include "local-ai.labels" . | nindent 4 }}
+{{- if .Values.service.annotations }}
+  annotations:
+  {{ toYaml .Values.service.annotations | indent 4 }}
+{{- end }}
+spec:
+  selector:
+    app.kubernetes.io/name: {{ include "local-ai.name" . }}
+  type: "{{ .Values.service.type }}"
+  ports:
+    - protocol: TCP
+      port: 8080
+      targetPort: 8080
--- a/charts/local-ai/values.yaml
+++ b/charts/local-ai/values.yaml
@@ -0,0 +1,38 @@
+deployment:
+  image: quay.io/go-skynet/local-ai:latest
+  env:
+    threads: 14
+    contextSize: 512
+    modelsPath: "/models"
+  volume:
+    enabled: false
+
+service:
+  type: ClusterIP
+  annotations: {}
+  # If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
+  # service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
+
+# Optionally create a PVC containing a model binary, sourced from an arbitrary HTTP server or S3 bucket
+# (requires https://github.com/kubevirt/containerized-data-importer)
+dataVolume:
+  enabled: false
+  source:
+    type: "http" # Source type. One of: [ http | s3 ]
+    url: "http://<model_server>/<model_archive>" # e.g. koala-7B-4bit-128g.GGML.tar
+
+    # CertConfigMap is an optional ConfigMap reference, containing a Certificate Authority (CA) public key
+    # and a base64 encoded pem certificate
+    caCertConfigMap: ""
+
+    # SecretExtraHeaders is an optional list of Secret references, each containing an extra HTTP header
+    # that may include sensitive information. Only applicable for the http source type.
+    secretExtraHeaders: []
+  pvc:
+    accessModes:
+    - ReadWriteOnce
+    size: 5Gi
+  secret:
+    enabled: false
+    username: "" # base64 encoded
+    password: "" # base64 encoded
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -5,11 +5,11 @@ services:
    image: quay.io/go-skynet/local-ai:latest
    build:
      context: .
-      dockerfile: Dockerfile.dev
+      dockerfile: Dockerfile
    ports:
      - 8080:8080
    env_file:
      - .env
    volumes:
      - ./models:/models:cached
-    command: ["/usr/bin/local-ai" ]
+    command: ["/usr/bin/local-ai" ]
--- a/entrypoint.sh
+++ b/entrypoint.sh
@@ -1,7 +0,0 @@
-#!/bin/bash
-
-cd /build
-
-make build
-
-./local-ai "$@"
--- a/examples/README.md
+++ b/examples/README.md
@@ -2,77 +2,10 @@

 Here is a list of projects that can easily be integrated with the LocalAI backend. 

-### Projects
+## Projects

-
-### Chatbot-UI
-
-_by [@mkellerman](https://github.com/mkellerman)_
-
-![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
-
-This integration shows how to use LocalAI with [mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui).
-
-[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/)
-
-### Discord bot
-
-_by [@mudler](https://github.com/mudler)_
-
-Run a discord bot which lets you talk directly with a model
-
-[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/discord-bot/), or for a live demo you can talk with our bot in #random-bot in our discord server.
-
-### Langchain
-
-_by [@dave-gray101](https://github.com/dave-gray101)_
-
-A ready to use example to show e2e how to integrate LocalAI with langchain
-
-[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain/)
-
-### Langchain Python
-
-_by [@mudler](https://github.com/mudler)_
-
-A ready to use example to show e2e how to integrate LocalAI with langchain
-
-[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-python/)
-
-### LocalAI WebUI
-
-_by [@dhruvgera](https://github.com/dhruvgera)_
-
-![image](https://user-images.githubusercontent.com/42107491/235344183-44b5967d-ba22-4331-804c-8da7004a5d35.png)
-
-A light, community-maintained web interface for LocalAI
-
-[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/localai-webui/)
-
-### How to run rwkv models
-
-_by [@mudler](https://github.com/mudler)_
-
-A full example on how to run RWKV models with LocalAI
-
-[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv/)
-
-### Slack bot
-
-_by [@mudler](https://github.com/mudler)_
-
-Run a slack bot which lets you talk directly with a model
-
-[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/slack-bot/)
-
-### Question answering on documents
-
-_by [@mudler](https://github.com/mudler)_
-
-Shows how to integrate with [Llama-Index](https://gpt-index.readthedocs.io/en/stable/getting_started/installation.html) to enable question answering on a set of documents.
-
-[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/query_data/)
+- [chatbot-ui](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/) (by [@mkellerman](https://github.com/mkellerman))

 ## Want to contribute?

-Create an issue, and put `Example: <description>` in the title! We will post your examples here.
+Create an issue, and put `Example: <description>` in the title! We will post your examples here.
--- a/examples/chatbot-ui/README.md
+++ b/examples/chatbot-ui/README.md
@@ -1,46 +1,18 @@
 # chatbot-ui

-Example of integration with [mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui).
-
-![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)

 ## Setup
+- Set the `services > api > volumes` parameter in the docker-compose.yaml file. This should point to your local folder with your models.
+- Copy/Rename your model file to `gpt-3.5-turbo` (without any .bin file extension).
+- Type `docker compose up` to run the api and the Web UI.
+- Open http://localhost:3000 for the Web UI.

-```bash
-# Clone LocalAI
-git clone https://github.com/go-skynet/LocalAI

-cd LocalAI/examples/chatbot-ui
+## Known issues
+- Can't select the model from the UI. Seems hardcoded to `gpt-3.5-turbo`.
+- If your machine is slow, the UI will timeout on the request to the API.

-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build <TAG>

-# Download gpt4all-j to models/
-wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
-
-# start with docker-compose
-docker-compose up -d --build
-```
-
-## Pointing chatbot-ui to a separately managed LocalAI service
-
-If you want to use the [chatbot-ui example](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui) with an externally managed LocalAI service, you can alter the `docker-compose` file so that it looks like the below. You will notice the file is smaller, because we have removed the section that would normally start the LocalAI service. Take care to update the IP address (or FQDN) that the chatbot-ui service tries to access (marked `<<LOCALAI_IP>>` below):
-```
-version: '3.6'
-
-services:
-  chatgpt:
-    image: ghcr.io/mckaywrigley/chatbot-ui:main
-    ports:
-      - 3000:3000
-    environment:
-      - 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
-      - 'OPENAI_API_HOST=http://<<LOCALAI_IP>>:8080'
-```
-
-Once you've edited the Dockerfile, you can start it with `docker compose up`, then browse to `http://localhost:3000`.
-
-## Accessing chatbot-ui
-
-Open http://localhost:3000 for the Web UI.
+### Links

+- [mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui)
--- a/examples/chatbot-ui/docker-compose.yaml
+++ b/examples/chatbot-ui/docker-compose.yaml
@@ -3,12 +3,11 @@ version: '3.6'
 services:
  api:
    image: quay.io/go-skynet/local-ai:latest
-    build:
-      context: ../../
-      dockerfile: Dockerfile.dev
    ports:
      - 8080:8080
    environment:
+      - THREADS=4
+      - CONTEXT_SIZE=512
      - DEBUG=true
      - MODELS_PATH=/models
    volumes:
@@ -21,4 +20,4 @@ services:
      - 3000:3000
    environment:
      - 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
-      - 'OPENAI_API_HOST=http://api:8080'
+      - 'OPENAI_API_HOST=http://host.docker.internal:8080'
--- a/examples/chatbot-ui/models/completion.tmpl
+++ b/examples/chatbot-ui/models/completion.tmpl
@@ -1 +0,0 @@
-{{.Input}}
--- a/examples/chatbot-ui/models/gpt-3.5-turbo.yaml
+++ b/examples/chatbot-ui/models/gpt-3.5-turbo.yaml
@@ -1,17 +0,0 @@
-name: gpt-3.5-turbo
-parameters:
-  model: ggml-gpt4all-j
-  top_k: 80
-  temperature: 0.2
-  top_p: 0.7
-context_size: 1024
-threads: 14
-stopwords:
- "HUMAN:"
- "GPT:"
-roles:
-  user: " "
-  system: " "
-template:
-  completion: completion
-  chat: gpt4all
--- a/examples/chatbot-ui/models/gpt4all.tmpl
+++ b/examples/chatbot-ui/models/gpt4all.tmpl
@@ -1,4 +0,0 @@
-The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
-### Prompt:
-{{.Input}}
-### Response:
--- a/examples/discord-bot/.env.example
+++ b/examples/discord-bot/.env.example
@@ -1,6 +0,0 @@
-OPENAI_API_KEY=x
-DISCORD_BOT_TOKEN=x
-DISCORD_CLIENT_ID=x
-OPENAI_API_BASE=http://api:8080
-ALLOWED_SERVER_IDS=x
-SERVER_TO_MODERATION_CHANNEL=1:1
--- a/examples/discord-bot/README.md
+++ b/examples/discord-bot/README.md
@@ -1,76 +0,0 @@
-# discord-bot
-
-![Screenshot from 2023-05-01 07-58-19](https://user-images.githubusercontent.com/2420543/235413924-0cb2e75b-f2d6-4119-8610-44386e44afb8.png)
-
-## Setup
-
-```bash
-# Clone LocalAI
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI/examples/discord-bot
-
-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build <TAG>
-
-# Download gpt4all-j to models/
-wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
-
-# Set the discord bot options (see: https://github.com/go-skynet/gpt-discord-bot#setup)
-cp -rfv .env.example .env
-vim .env
-
-# start with docker-compose
-docker-compose up -d --build
-```
-
-Note: see setup options here: https://github.com/go-skynet/gpt-discord-bot#setup
-
-Open up the URL in the console and give permission to the bot in your server. Start a thread with `/chat ..`
-
-## Kubernetes
-
- install the local-ai chart first
- change OPENAI_API_BASE to point to the API address and apply the discord-bot manifest:
-
-```yaml
-apiVersion: v1
-kind: Namespace
-metadata:
-  name: discord-bot
---
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: localai
-  namespace: discord-bot
-  labels:
-    app: localai
-spec:
-  selector:
-    matchLabels:
-      app: localai
-  replicas: 1
-  template:
-    metadata:
-      labels:
-        app: localai
-      name: localai
-    spec:
-      containers:
-        - name: localai-discord
-          env:
-          - name: OPENAI_API_KEY
-            value: "x"
-          - name: DISCORD_BOT_TOKEN
-            value: ""
-          - name: DISCORD_CLIENT_ID
-            value: ""
-          - name: OPENAI_API_BASE
-            value: "http://local-ai.default.svc.cluster.local:8080"
-          - name: ALLOWED_SERVER_IDS
-            value: "xx"
-          - name: SERVER_TO_MODERATION_CHANNEL
-            value: "1:1"
-          image: quay.io/go-skynet/gpt-discord-bot:main
-```
--- a/examples/discord-bot/docker-compose.yaml
+++ b/examples/discord-bot/docker-compose.yaml
@@ -1,21 +0,0 @@
-version: '3.6'
-
-services:
-  api:
-    image: quay.io/go-skynet/local-ai:latest
-    build:
-      context: ../../
-      dockerfile: Dockerfile.dev
-    ports:
-      - 8080:8080
-    environment:
-      - DEBUG=true
-      - MODELS_PATH=/models
-    volumes:
-      - ./models:/models:cached
-    command: ["/usr/bin/local-ai" ]
-
-  bot:
-    image: quay.io/go-skynet/gpt-discord-bot:main
-    env_file:
-    - .env
--- a/examples/discord-bot/models
+++ b/examples/discord-bot/models
@@ -1 +0,0 @@
-../chatbot-ui/models/
--- a/examples/langchain-agent/agent.py
+++ b/examples/langchain-agent/agent.py
@@ -1,47 +0,0 @@
-## Loosely based from https://gist.github.com/wiseman/4a706428eaabf4af1002a07a114f61d6
-
-from io import StringIO
-import sys
-import os
-from typing import Dict, Optional
-
-from langchain.agents import load_tools
-from langchain.agents import initialize_agent
-from langchain.agents.tools import Tool
-from langchain.llms import OpenAI
-
-base_path = os.environ.get('OPENAI_API_BASE', 'http://api:8080/v1')
-model_name = os.environ.get('MODEL_NAME', 'gpt-3.5-turbo')
-
-class PythonREPL:
-    """Simulates a standalone Python REPL."""
-
-    def __init__(self):
-        pass        
-
-    def run(self, command: str) -> str:
-        """Run command and returns anything printed."""
-        # sys.stderr.write("EXECUTING PYTHON CODE:\n---\n" + command + "\n---\n")
-        old_stdout = sys.stdout
-        sys.stdout = mystdout = StringIO()
-        try:
-            exec(command, globals())
-            sys.stdout = old_stdout
-            output = mystdout.getvalue()
-        except Exception as e:
-            sys.stdout = old_stdout
-            output = str(e)
-        # sys.stderr.write("PYTHON OUTPUT: \"" + output + "\"\n")
-        return output
-      
-llm = OpenAI(temperature=0.0, openai_api_base=base_path, model_name=model_name)
-python_repl = Tool(
-        "Python REPL",
-        PythonREPL().run,
-        """A Python shell. Use this to execute python commands. Input should be a valid python command.
-        If you expect output it should be printed out.""",
-    )
-tools = [python_repl]
-agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True)
-agent.run("What is the 10th fibonacci number?")
-
--- a/examples/langchain-python/README.md
+++ b/examples/langchain-python/README.md
@@ -1,33 +0,0 @@
-## Langchain-python
-
-Langchain example from [quickstart](https://python.langchain.com/en/latest/getting_started/getting_started.html).
-
-To interact with langchain, you can just set the `OPENAI_API_BASE` URL and provide a token with a random string.
-
-See the example below:
-
-```
-# Clone LocalAI
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI/examples/langchain-python
-
-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build <TAG>
-
-# Download gpt4all-j to models/
-wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
-
-# start with docker-compose
-docker-compose up -d --build
-
-
-pip install langchain
-pip install openai
-
-export OPENAI_API_BASE=http://localhost:8080
-export OPENAI_API_KEY=sk-
-
-python test.py
-# A good company name for a company that makes colorful socks would be "Colorsocks".
-```
--- a/examples/langchain-python/docker-compose.yaml
+++ b/examples/langchain-python/docker-compose.yaml
@@ -1,16 +0,0 @@
-version: '3.6'
-
-services:
-  api:
-    image: quay.io/go-skynet/local-ai:latest
-    build:
-      context: ../../
-      dockerfile: Dockerfile.dev
-    ports:
-      - 8080:8080
-    environment:
-      - DEBUG=true
-      - MODELS_PATH=/models
-    volumes:
-      - ./models:/models:cached
-    command: ["/usr/bin/local-ai" ]
--- a/examples/langchain-python/models
+++ b/examples/langchain-python/models
@@ -1 +0,0 @@
-../chatbot-ui/models
--- a/examples/langchain-python/test.py
+++ b/examples/langchain-python/test.py
@@ -1,6 +0,0 @@
-
-from langchain.llms import OpenAI
-
-llm = OpenAI(temperature=0.9,model_name="gpt-3.5-turbo")
-text = "What would be a good company name for a company that makes colorful socks?"
-print(llm(text))
--- a/examples/langchain/.gitignore
+++ b/examples/langchain/.gitignore
@@ -1,2 +0,0 @@
-models/ggml-koala-13B-4bit-128g
-models/ggml-gpt4all-j
--- a/examples/langchain/JS.Dockerfile
+++ b/examples/langchain/JS.Dockerfile
@@ -1,6 +0,0 @@
-FROM node:latest
-COPY ./langchainjs-localai-example /app
-WORKDIR /app
-RUN npm install
-RUN npm run build
-ENTRYPOINT [ "npm", "run", "start" ]
--- a/examples/langchain/PY.Dockerfile
+++ b/examples/langchain/PY.Dockerfile
@@ -1,5 +0,0 @@
-FROM python:3.10-bullseye
-COPY ./langchainpy-localai-example /app
-WORKDIR /app
-RUN pip install --no-cache-dir -r requirements.txt
-ENTRYPOINT [ "python", "./full_demo.py" ];
--- a/examples/langchain/README.md
+++ b/examples/langchain/README.md
@@ -1,30 +0,0 @@
-# langchain
-
-Example of using langchain, with the standard OpenAI llm module, and LocalAI. Has docker compose profiles for both the Typescript and Python versions.
-
-**Please Note** - This is a tech demo example at this time. ggml-gpt4all-j has pretty terrible results for most langchain applications with the settings used in this example.
-
-## Setup
-
-```bash
-# Clone LocalAI
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI/examples/langchain
-
-# (optional) - Edit the example code in typescript.
-# vi ./langchainjs-localai-example/index.ts
-
-# Download gpt4all-j to models/
-wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
-
-# start with docker-compose for typescript!
-docker-compose --profile ts up --build
-
-# or start with docker-compose for python!
-docker-compose --profile py up --build
-```
-
-## Copyright
-
-Some of the example code in index.mts and full_demo.py is adapted from the langchainjs project and is Copyright (c) Harrison Chase. Used under the terms of the MIT license, as is the remainder of this code.
--- a/examples/langchain/docker-compose.yaml
+++ b/examples/langchain/docker-compose.yaml
@@ -1,43 +0,0 @@
-version: '3.6'
-
-services:
-  api:
-    image: quay.io/go-skynet/local-ai:latest
-    build:
-      context: ../../
-      dockerfile: Dockerfile.dev
-    ports:
-      - 8080:8080
-    environment:
-      - DEBUG=true
-      - MODELS_PATH=/models
-    volumes:
-      - ./models:/models:cached
-    command: ["/usr/bin/local-ai" ]
-
-  js:
-    build:
-      context: .
-      dockerfile: JS.Dockerfile
-    profiles:
-      - js
-      - ts
-    depends_on:
-    - "api"
-    environment:
-      - 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
-      - 'OPENAI_API_BASE=http://api:8080/v1'
-      - 'MODEL_NAME=gpt-3.5-turbo' #gpt-3.5-turbo' # ggml-gpt4all-j' # ggml-koala-13B-4bit-128g'
-
-  py:
-    build:
-      context: .
-      dockerfile: PY.Dockerfile
-    profiles:
-      - py
-    depends_on:
-    - "api"
-    environment:
-      - 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
-      - 'OPENAI_API_BASE=http://api:8080/v1'
-      - 'MODEL_NAME=gpt-3.5-turbo' #gpt-3.5-turbo' # ggml-gpt4all-j' # ggml-koala-13B-4bit-128g'
--- a/examples/langchain/langchainjs-localai-example/.gitignore
+++ b/examples/langchain/langchainjs-localai-example/.gitignore
@@ -1,2 +0,0 @@
-node_modules/
-dist/
--- a/examples/langchain/langchainjs-localai-example/.vscode/launch.json
+++ b/examples/langchain/langchainjs-localai-example/.vscode/launch.json
@@ -1,20 +0,0 @@
-{
-    // Use IntelliSense to learn about possible attributes.
-    // Hover to view descriptions of existing attributes.
-    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
-    "version": "0.2.0",
-    "configurations": [
-        {
-            "type": "node",
-            "request": "launch",
-            "name": "Launch Program",
-            // "skipFiles": [
-            //     "<node_internals>/**"
-            // ],
-            "program": "${workspaceFolder}\\dist\\index.mjs",
-            "outFiles": [
-                "${workspaceFolder}/**/*.js"
-            ]
-        }
-    ]
-}
--- a/examples/langchain/langchainjs-localai-example/package-lock.json
+++ b/examples/langchain/langchainjs-localai-example/package-lock.json
--- a/examples/langchain/langchainjs-localai-example/package.json
+++ b/examples/langchain/langchainjs-localai-example/package.json
@@ -1,21 +0,0 @@
-{
-  "name": "langchainjs-localai-example",
-  "version": "0.1.0",
-  "description": "Trivial Example of using langchain + the OpenAI API + LocalAI together",
-  "main": "index.mjs",
-  "scripts": {
-    "build": "tsc --build",
-    "clean": "tsc --build --clean",
-    "start": "node --trace-warnings dist/index.mjs"
-  },
-  "author": "dave@gray101.com",
-  "license": "MIT",
-  "devDependencies": {
-    "@types/node": "^18.16.4",
-    "typescript": "^5.0.4"
-  },
-  "dependencies": {
-    "langchain": "^0.0.67",
-    "typeorm": "^0.3.15"
-  }
-}
--- a/examples/langchain/langchainjs-localai-example/src/index.mts
+++ b/examples/langchain/langchainjs-localai-example/src/index.mts
@@ -1,79 +0,0 @@
-import { OpenAIChat } from "langchain/llms/openai";
-import { loadQAStuffChain } from "langchain/chains";
-import { Document } from "langchain/document";
-import { initializeAgentExecutorWithOptions } from "langchain/agents";
-import {Calculator} from "langchain/tools/calculator";
-
-const pathToLocalAi = process.env['OPENAI_API_BASE'] || 'http://api:8080/v1';
-const fakeApiKey = process.env['OPENAI_API_KEY'] || '-';
-const modelName = process.env['MODEL_NAME'] || 'gpt-3.5-turbo';
-
-function getModel(): OpenAIChat {
-  return new OpenAIChat({
-    prefixMessages: [
-      {
-        role: "system",
-        content: "You are a helpful assistant that answers in pirate language",
-      },
-    ],
-    modelName: modelName,
-    maxTokens: 50,
-    openAIApiKey: fakeApiKey,
-    maxRetries: 2
-  }, {
-    basePath: pathToLocalAi,
-    apiKey: fakeApiKey,
-  });
-}
-
-// Minimal example.
-export const run = async () => {
-  const model = getModel();
-  console.log(`about to model.call at ${new Date().toUTCString()}`);
-  const res = await model.call(
-    "What would be a good company name a company that makes colorful socks?"
-  );
-  console.log(`${new Date().toUTCString()}`);
-  console.log({ res });
-};
-
-await run();
-
-// This example uses the `StuffDocumentsChain`
-export const run2 = async () => {
-  const model = getModel();
-  const chainA = loadQAStuffChain(model);
-  const docs = [
-    new Document({ pageContent: "Harrison went to Harvard." }),
-    new Document({ pageContent: "Ankush went to Princeton." }),
-  ];
-  const resA = await chainA.call({
-    input_documents: docs,
-    question: "Where did Harrison go to college?",
-  });
-  console.log({ resA });
-};
-
-await run2();
-
-// Quickly thrown together example of using tools + agents.
-// This seems like it should work, but it doesn't yet.
-export const temporarilyBrokenToolTest = async () => {
-  const model = getModel();
-
-  const executor = await initializeAgentExecutorWithOptions([new Calculator(true)], model, {
-    agentType: "zero-shot-react-description",
-  });
-
-  console.log("Loaded agent.");
-
-  const input = `What is the value of (500 *2) + 350 - 13?`;
-
-  console.log(`Executing with input "${input}"...`);
-
-  const result = await executor.call({ input });
-
-  console.log(`Got output ${result.output}`);
-}
-
-await temporarilyBrokenToolTest();
--- a/examples/langchain/langchainjs-localai-example/tsconfig.json
+++ b/examples/langchain/langchainjs-localai-example/tsconfig.json
@@ -1,15 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "es2022",
-    "lib": ["ES2022", "DOM"],
-    "module": "ES2022",
-    "moduleResolution": "node",
-    "strict": true,
-    "esModuleInterop": true,
-    "allowSyntheticDefaultImports": true,
-    "isolatedModules": true,
-    "outDir": "./dist"
-  },
-  "include": ["src", "test"],
-  "exclude": ["node_modules", "dist"]
-}
--- a/examples/langchain/langchainpy-localai-example/.vscode/launch.json
+++ b/examples/langchain/langchainpy-localai-example/.vscode/launch.json
@@ -1,24 +0,0 @@
-{
-    "version": "0.2.0",
-    "configurations": [
-        {
-            "name": "Python: Current File",
-            "type": "python",
-            "request": "launch",
-            "program": "${file}",
-            "console": "integratedTerminal",
-            "redirectOutput": true,
-            "justMyCode": false
-        },
-        {
-            "name": "Python: Attach to Port 5678",
-            "type": "python",
-            "request": "attach",
-            "connect": {
-                "host": "localhost",
-                "port": 5678
-              },
-            "justMyCode": false
-        }
-    ]
-}
--- a/examples/langchain/langchainpy-localai-example/.vscode/settings.json
+++ b/examples/langchain/langchainpy-localai-example/.vscode/settings.json
@@ -1,3 +0,0 @@
-{
-    "python.defaultInterpreterPath": "${workspaceFolder}/.venv/Scripts/python"
-}
--- a/examples/langchain/langchainpy-localai-example/full_demo.py
+++ b/examples/langchain/langchainpy-localai-example/full_demo.py
@@ -1,46 +0,0 @@
-import os
-import logging
-
-from langchain.chat_models import ChatOpenAI
-from langchain import PromptTemplate, LLMChain
-from langchain.prompts.chat import (
-    ChatPromptTemplate,
-    SystemMessagePromptTemplate,
-    AIMessagePromptTemplate,
-    HumanMessagePromptTemplate,
-)
-from langchain.schema import (
-    AIMessage,
-    HumanMessage,
-    SystemMessage
-)
-
-# This logging incantation makes it easy to see that you're actually reaching your LocalAI instance rather than OpenAI.
-logging.basicConfig(level=logging.DEBUG)
-
-print('Langchain + LocalAI PYTHON Tests')
-
-base_path = os.environ.get('OPENAI_API_BASE', 'http://api:8080/v1')
-key = os.environ.get('OPENAI_API_KEY', '-')
-model_name = os.environ.get('MODEL_NAME', 'gpt-3.5-turbo')
-
-
-chat = ChatOpenAI(temperature=0, openai_api_base=base_path, openai_api_key=key, model_name=model_name, max_tokens=100)
-
-print("Created ChatOpenAI for ", chat.model_name)
-
-template = "You are a helpful assistant that translates {input_language} to {output_language}. The next message will be a sentence in {input_language}. Respond ONLY with the translation in {output_language}. Do not respond in {input_language}!"
-system_message_prompt = SystemMessagePromptTemplate.from_template(template)
-human_template = "{text}"
-human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
-
-chat_prompt = ChatPromptTemplate.from_messages([system_message_prompt, human_message_prompt])
-
-print("ABOUT to execute")
-
-# get a chat completion from the formatted messages
-response = chat(chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages())
-
-print(response)
-
-print(".");
--- a/examples/langchain/langchainpy-localai-example/requirements.txt
+++ b/examples/langchain/langchainpy-localai-example/requirements.txt
@@ -1,32 +0,0 @@
-aiohttp==3.8.4
-aiosignal==1.3.1
-async-timeout==4.0.2
-attrs==23.1.0
-certifi==2022.12.7
-charset-normalizer==3.1.0
-colorama==0.4.6
-dataclasses-json==0.5.7
-debugpy==1.6.7
-frozenlist==1.3.3
-greenlet==2.0.2
-idna==3.4
-langchain==0.0.159
-marshmallow==3.19.0
-marshmallow-enum==1.5.1
-multidict==6.0.4
-mypy-extensions==1.0.0
-numexpr==2.8.4
-numpy==1.24.3
-openai==0.27.6
-openapi-schema-pydantic==1.2.4
-packaging==23.1
-pydantic==1.10.7
-PyYAML==6.0
-requests==2.29.0
-SQLAlchemy==2.0.12
-tenacity==8.2.2
-tqdm==4.65.0
-typing-inspect==0.8.0
-typing_extensions==4.5.0
-urllib3==1.26.15
-yarl==1.9.2
--- a/examples/langchain/langchainpy-localai-example/simple_demo.py
+++ b/examples/langchain/langchainpy-localai-example/simple_demo.py
@@ -1,6 +0,0 @@
-
-from langchain.llms import OpenAI
-
-llm = OpenAI(temperature=0.9,model_name="gpt-3.5-turbo")
-text = "What would be a good company name for a company that makes colorful socks?"
-print(llm(text))
--- a/examples/langchain/models/completion.tmpl
+++ b/examples/langchain/models/completion.tmpl
@@ -1 +0,0 @@
-{{.Input}}
--- a/examples/langchain/models/gpt-3.5-turbo.yaml
+++ b/examples/langchain/models/gpt-3.5-turbo.yaml
@@ -1,18 +0,0 @@
-name: gpt-3.5-turbo
-parameters:
-  model: ggml-gpt4all-j # ggml-koala-13B-4bit-128g
-  top_k: 80
-  temperature: 0.2
-  top_p: 0.7
-context_size: 1024
-threads: 4
-stopwords:
- "HUMAN:"
- "GPT:"
-roles:
-  user: " "
-  system: " "
-backend: "gptj"
-template:
-  completion: completion
-  chat: gpt4all
--- a/examples/langchain/models/gpt4all.tmpl
+++ b/examples/langchain/models/gpt4all.tmpl
@@ -1,4 +0,0 @@
-The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
-### Prompt:
-{{.Input}}
-### Response:
--- a/examples/localai-webui/README.md
+++ b/examples/localai-webui/README.md
@@ -1,26 +0,0 @@
-# localai-webui
-
-Example of integration with [dhruvgera/localai-frontend](https://github.com/Dhruvgera/LocalAI-frontend).
-
-![image](https://user-images.githubusercontent.com/42107491/235344183-44b5967d-ba22-4331-804c-8da7004a5d35.png)
-
-## Setup
-
-```bash
-# Clone LocalAI
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI/examples/localai-webui
-
-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build <TAG>
-
-# Download any desired models to models/ in the parent LocalAI project dir
-# For example: wget https://gpt4all.io/models/ggml-gpt4all-j.bin
-
-# start with docker-compose
-docker-compose up -d --build
-```
-
-Open http://localhost:3000 for the Web UI.
-
--- a/examples/localai-webui/docker-compose.yml
+++ b/examples/localai-webui/docker-compose.yml
@@ -1,20 +0,0 @@
-version: '3.6'
-
-services:
-  api:
-    image: quay.io/go-skynet/local-ai:latest
-    build:
-      context: .
-      dockerfile: Dockerfile
-    ports:
-      - 8080:8080
-    env_file:
-      - .env
-    volumes:
-      - ./models:/models:cached
-    command: ["/usr/bin/local-ai"]
-
-  frontend:
-    image: quay.io/go-skynet/localai-frontend:master
-    ports:
-      - 3000:3000
--- a/examples/query_data/.gitignore
+++ b/examples/query_data/.gitignore
@@ -1 +0,0 @@
-storage/
--- a/examples/query_data/README.md
+++ b/examples/query_data/README.md
@@ -1,49 +0,0 @@
-# Data query example
-
-This example makes use of [Llama-Index](https://gpt-index.readthedocs.io/en/stable/getting_started/installation.html) to enable question answering on a set of documents.
-
-It loosely follows [the quickstart](https://gpt-index.readthedocs.io/en/stable/guides/primer/usage_pattern.html).
-
-## Requirements
-
-For this in order to work, you will need a model compatible with the `llama.cpp` backend. This is will not work with gpt4all.
-
-The example uses `WizardLM`. Edit the config files in `models/` accordingly to specify the model you use (change `HERE`).
-
-You will also need a training data set. Copy that over `data`.
-
-## Setup
-
-Start the API:
-
-```bash
-# Clone LocalAI
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI/examples/query_data
-
-# Copy your models, edit config files accordingly
-
-# start with docker-compose
-docker-compose up -d --build
-```
-
-### Create a storage:
-
-```bash
-export OPENAI_API_BASE=http://localhost:8080/v1
-export OPENAI_API_KEY=sk-
-
-python store.py
-```
-
-After it finishes, a directory "storage" will be created with the vector index database.
-
-## Query
-
-```bash
-export OPENAI_API_BASE=http://localhost:8080/v1
-export OPENAI_API_KEY=sk-
-
-python query.py
-```
--- a/examples/query_data/data/.keep
+++ b/examples/query_data/data/.keep
--- a/examples/query_data/docker-compose.yml
+++ b/examples/query_data/docker-compose.yml
@@ -1,15 +0,0 @@
-version: '3.6'
-
-services:
-  api:
-    image: quay.io/go-skynet/local-ai:latest
-    build:
-      context: .
-      dockerfile: Dockerfile
-    ports:
-      - 8080:8080
-    env_file:
-      - .env
-    volumes:
-      - ./models:/models:cached
-    command: ["/usr/bin/local-ai"]
--- a/examples/query_data/models/completion.tmpl
+++ b/examples/query_data/models/completion.tmpl
@@ -1 +0,0 @@
-{{.Input}}
--- a/examples/query_data/models/embeddings.yaml
+++ b/examples/query_data/models/embeddings.yaml
@@ -1,18 +0,0 @@
-name: text-embedding-ada-002
-parameters:
-  model: HERE
-  top_k: 80
-  temperature: 0.2
-  top_p: 0.7
-context_size: 1024
-threads: 14
-stopwords:
- "HUMAN:"
- "GPT:"
-roles:
-  user: " "
-  system: " "
-embeddings: true
-template:
-  completion: completion
-  chat: gpt4all
--- a/examples/query_data/models/gpt-3.5-turbo.yaml
+++ b/examples/query_data/models/gpt-3.5-turbo.yaml
@@ -1,18 +0,0 @@
-name: gpt-3.5-turbo
-parameters:
-  model: HERE
-  top_k: 80
-  temperature: 0.2
-  top_p: 0.7
-context_size: 1024
-threads: 14
-embeddings: true
-stopwords:
- "HUMAN:"
- "GPT:"
-roles:
-  user: " "
-  system: " "
-template:
-  completion: completion
-  chat: wizardlm
--- a/examples/query_data/models/wizardlm.tmpl
+++ b/examples/query_data/models/wizardlm.tmpl
@@ -1,3 +0,0 @@
-{{.Input}}
-
-### Response:
--- a/examples/query_data/query.py
+++ b/examples/query_data/query.py
@@ -1,33 +0,0 @@
-import os
-
-# Uncomment to specify your OpenAI API key here (local testing only, not in production!), or add corresponding environment variable (recommended)
-# os.environ['OPENAI_API_KEY']= ""
-
-from llama_index import   LLMPredictor, PromptHelper, ServiceContext
-from langchain.llms.openai import OpenAI
-from llama_index import StorageContext, load_index_from_storage
-
-base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
-
-# This example uses text-davinci-003 by default; feel free to change if desired
-llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo",openai_api_base=base_path))
-
-# Configure prompt parameters and initialise helper
-max_input_size = 1024
-num_output = 256
-max_chunk_overlap = 20
-
-prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
-
-# Load documents from the 'data' directory
-service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper)
-
-# rebuild storage context
-storage_context = StorageContext.from_defaults(persist_dir='./storage')
-
-# load index
-index = load_index_from_storage(storage_context,     service_context=service_context,    )
-
-query_engine = index.as_query_engine()
-response = query_engine.query("XXXXXX your question here XXXXX")
-print(response)
--- a/examples/query_data/store.py
+++ b/examples/query_data/store.py
@@ -1,27 +0,0 @@
-import os
-
-# Uncomment to specify your OpenAI API key here (local testing only, not in production!), or add corresponding environment variable (recommended)
-# os.environ['OPENAI_API_KEY']= ""
-
-from llama_index import GPTVectorStoreIndex, SimpleDirectoryReader, LLMPredictor, PromptHelper, ServiceContext
-from langchain.llms.openai import OpenAI
-from llama_index import StorageContext, load_index_from_storage
-
-base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
-
-# This example uses text-davinci-003 by default; feel free to change if desired
-llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
-
-# Configure prompt parameters and initialise helper
-max_input_size = 256
-num_output = 256
-max_chunk_overlap = 10
-
-prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
-
-# Load documents from the 'data' directory
-documents = SimpleDirectoryReader('data').load_data()
-service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper, chunk_size_limit = 257)
-index = GPTVectorStoreIndex.from_documents(documents, service_context=service_context)
-index.storage_context.persist(persist_dir="./storage")
-
--- a/examples/rwkv/Dockerfile.build
+++ b/examples/rwkv/Dockerfile.build
@@ -1,10 +0,0 @@
-FROM python
-
-# convert the model (one-off)
-RUN pip3 install torch numpy
-
-WORKDIR /build
-COPY ./scripts/ .
-
-RUN git clone --recurse-submodules https://github.com/saharNooby/rwkv.cpp && cd rwkv.cpp && cmake . && cmake --build . --config Release
-ENTRYPOINT [ "/build/build.sh" ]
--- a/examples/rwkv/README.md
+++ b/examples/rwkv/README.md
@@ -1,59 +0,0 @@
-# rwkv
-
-Example of how to run rwkv models.
-
-## Run models
-
-Setup:
-
-```bash
-# Clone LocalAI
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI/examples/rwkv
-
-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build <TAG>
-
-# build the tooling image to convert an rwkv model locally:
-docker build -t rwkv-converter -f Dockerfile.build .
-
-# download and convert a model (one-off) - it's going to be fast on CPU too!
-docker run -ti --name converter -v $PWD:/data rwkv-converter https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%25-Other1%25-20230425-ctx4096.pth /data/models/rwkv
-
-# Get the tokenizer
-wget https://raw.githubusercontent.com/saharNooby/rwkv.cpp/5eb8f09c146ea8124633ab041d9ea0b1f1db4459/rwkv/20B_tokenizer.json -O models/rwkv.tokenizer.json
-
-# start with docker-compose
-docker-compose up -d --build
-```
-
-Test it out:
-
-```bash
-curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
-    "model": "gpt-3.5-turbo",
-    "prompt": "A long time ago, in a galaxy far away",
-    "max_tokens": 100,
-    "temperature": 0.9, "top_p": 0.8, "top_k": 80
-  }'
-
-# {"object":"text_completion","model":"gpt-3.5-turbo","choices":[{"text":", there was a small group of five friends: Annie, Bryan, Charlie, Emily, and Jesse."}],"usage":{"prompt_tokens":0,"completion_tokens":0,"total_tokens":0}}
-
-curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-     "model": "gpt-3.5-turbo",            
-     "messages": [{"role": "user", "content": "How are you?"}],
-     "temperature": 0.9, "top_p": 0.8, "top_k": 80
-   }'
-
-# {"object":"chat.completion","model":"gpt-3.5-turbo","choices":[{"message":{"role":"assistant","content":" Good, thanks. I am about to go to bed. I' ll talk to you later.Bye."}}],"usage":{"prompt_tokens":0,"completion_tokens":0,"total_tokens":0}}
-```
-
-### Fine tuning
-
-See [RWKV-LM](https://github.com/BlinkDL/RWKV-LM#training--fine-tuning). There is also a Google [colab](https://colab.research.google.com/github/resloved/RWKV-notebooks/blob/master/RWKV_v4_RNN_Pile_Fine_Tuning.ipynb).
-
-## See also
-
- [RWKV-LM](https://github.com/BlinkDL/RWKV-LM)
- [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp)
--- a/examples/rwkv/docker-compose.yaml
+++ b/examples/rwkv/docker-compose.yaml
@@ -1,16 +0,0 @@
-version: '3.6'
-
-services:
-  api:
-    image: quay.io/go-skynet/local-ai:latest
-    build:
-      context: ../../
-      dockerfile: Dockerfile.dev
-    ports:
-      - 8080:8080
-    environment:
-      - DEBUG=true
-      - MODELS_PATH=/models
-    volumes:
-      - ./models:/models:cached
-    command: ["/usr/bin/local-ai" ]
--- a/examples/rwkv/models/gpt-3.5-turbo.yaml
+++ b/examples/rwkv/models/gpt-3.5-turbo.yaml
@@ -1,19 +0,0 @@
-name: gpt-3.5-turbo
-parameters:
-  model: rwkv
-  top_k: 80
-  temperature: 0.9
-  max_tokens: 100
-  top_p: 0.8
-context_size: 1024
-threads: 14
-backend: "rwkv"
-cutwords:
- "Bob:.*"
-roles:
-  user: "Bob:"
-  system: "Alice:"
-  assistant: "Alice:"
-template:
-  completion: rwkv_completion
-  chat: rwkv_chat
--- a/examples/rwkv/models/rwkv_chat.tmpl
+++ b/examples/rwkv/models/rwkv_chat.tmpl
@@ -1,13 +0,0 @@
-The following is a verbose detailed conversation between Bob and a woman, Alice. Alice is intelligent, friendly and likeable. Alice is likely to agree with Bob.
-
-Bob: Hello Alice, how are you doing?
-
-Alice: Hi Bob! Thanks, I'm fine. What about you?
-
-Bob: I am very good! It's nice to see you. Would you mind me chatting with you for a while?
-
-Alice: Not at all! I'm listening.
-
-{{.Input}}
-
-Alice: 
--- a/examples/rwkv/models/rwkv_completion.tmpl
+++ b/examples/rwkv/models/rwkv_completion.tmpl
@@ -1 +0,0 @@
-Complete the following sentence: {{.Input}} 
--- a/examples/rwkv/scripts/build.sh
+++ b/examples/rwkv/scripts/build.sh
@@ -1,11 +0,0 @@
-#!/bin/bash
-set -ex
-
-URL=$1
-OUT=$2
-FILENAME=$(basename $URL)
-
-wget -nc $URL -O /build/$FILENAME
-
-python3 /build/rwkv.cpp/rwkv/convert_pytorch_to_ggml.py /build/$FILENAME /build/float-model float16
-python3 /build/rwkv.cpp/rwkv/quantize.py /build/float-model $OUT Q4_2
--- a/examples/slack-bot/.env.example
+++ b/examples/slack-bot/.env.example
@@ -1,11 +0,0 @@
-SLACK_APP_TOKEN=xapp-1-...
-SLACK_BOT_TOKEN=xoxb-...
-OPENAI_API_KEY=sk-...
-OPENAI_API_BASE=http://api:8080
-OPENAI_MODEL=gpt-3.5-turbo
-OPENAI_TIMEOUT_SECONDS=60
-#OPENAI_SYSTEM_TEXT="You proofread text. When you receive a message, you will check
-#for mistakes and make suggestion to improve the language of the given text"
-USE_SLACK_LANGUAGE=true
-SLACK_APP_LOG_LEVEL=INFO
-TRANSLATE_MARKDOWN=true
--- a/examples/slack-bot/README.md
+++ b/examples/slack-bot/README.md
@@ -1,27 +0,0 @@
-# Slack bot
-
-Slackbot using: https://github.com/seratch/ChatGPT-in-Slack
-
-## Setup
-
-```bash
-# Clone LocalAI
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI/examples/slack-bot
-
-git clone https://github.com/seratch/ChatGPT-in-Slack
-
-# (optional) Checkout a specific LocalAI tag
-# git checkout -b build <TAG>
-
-# Download gpt4all-j to models/
-wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
-
-# Set the discord bot options (see: https://github.com/seratch/ChatGPT-in-Slack)
-cp -rfv .env.example .env
-vim .env
-
-# start with docker-compose
-docker-compose up -d --build
-```
--- a/examples/slack-bot/docker-compose.yaml
+++ b/examples/slack-bot/docker-compose.yaml
@@ -1,23 +0,0 @@
-version: '3.6'
-
-services:
-  api:
-    image: quay.io/go-skynet/local-ai:latest
-    build:
-      context: ../../
-      dockerfile: Dockerfile.dev
-    ports:
-      - 8080:8080
-    environment:
-      - DEBUG=true
-      - MODELS_PATH=/models
-    volumes:
-      - ./models:/models:cached
-    command: ["/usr/bin/local-ai" ]
-
-  bot:
-    build:
-     context: ./ChatGPT-in-Slack
-     dockerfile: Dockerfile
-    env_file:
-    - .env
--- a/examples/slack-bot/models
+++ b/examples/slack-bot/models
@@ -1 +0,0 @@
-../chatbot-ui/models
--- a/go.mod
+++ b/go.mod
@@ -3,57 +3,52 @@ module github.com/go-skynet/LocalAI
 go 1.19

 require (
-	github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be
 	github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708
 	github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c
-	github.com/go-skynet/go-llama.cpp v0.0.0-20230505100647-691d479d3675
+	github.com/go-skynet/go-llama.cpp v0.0.0-20230424120713-e45cebe33c04
 	github.com/gofiber/fiber/v2 v2.44.0
-	github.com/hashicorp/go-multierror v1.1.1
-	github.com/onsi/ginkgo/v2 v2.9.4
+	github.com/jaypipes/ghw v0.10.0
+	github.com/onsi/ginkgo/v2 v2.9.2
 	github.com/onsi/gomega v1.27.6
-	github.com/otiai10/openaigo v1.1.0
 	github.com/rs/zerolog v1.29.1
-	github.com/sashabaranov/go-openai v1.9.3
-	github.com/swaggo/swag v1.16.1
-	github.com/urfave/cli/v2 v2.25.3
-	github.com/valyala/fasthttp v1.47.0
-	gopkg.in/yaml.v3 v3.0.1
+	github.com/sashabaranov/go-openai v1.9.0
+	github.com/urfave/cli/v2 v2.25.1
 )

 require (
-	github.com/KyleBanks/depth v1.2.1 // indirect
-	github.com/PuerkitoBio/purell v1.1.1 // indirect
-	github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578 // indirect
+	github.com/StackExchange/wmi v1.2.1 // indirect
 	github.com/andybalholm/brotli v1.0.5 // indirect
 	github.com/cpuguy83/go-md2man/v2 v2.0.2 // indirect
-	github.com/go-logr/logr v1.2.4 // indirect
-	github.com/go-openapi/jsonpointer v0.19.5 // indirect
-	github.com/go-openapi/jsonreference v0.19.6 // indirect
-	github.com/go-openapi/spec v0.20.4 // indirect
-	github.com/go-openapi/swag v0.19.15 // indirect
+	github.com/ghodss/yaml v1.0.0 // indirect
+	github.com/go-logr/logr v1.2.3 // indirect
+	github.com/go-ole/go-ole v1.2.6 // indirect
 	github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 // indirect
 	github.com/google/go-cmp v0.5.9 // indirect
 	github.com/google/pprof v0.0.0-20210407192527-94a9f03dee38 // indirect
 	github.com/google/uuid v1.3.0 // indirect
-	github.com/hashicorp/errwrap v1.0.0 // indirect
-	github.com/josharian/intern v1.0.0 // indirect
+	github.com/jaypipes/pcidb v1.0.0 // indirect
 	github.com/klauspost/compress v1.16.3 // indirect
-	github.com/mailru/easyjson v0.7.6 // indirect
+	github.com/kr/text v0.2.0 // indirect
 	github.com/mattn/go-colorable v0.1.13 // indirect
 	github.com/mattn/go-isatty v0.0.18 // indirect
 	github.com/mattn/go-runewidth v0.0.14 // indirect
+	github.com/mitchellh/go-homedir v1.1.0 // indirect
 	github.com/philhofer/fwd v1.1.2 // indirect
+	github.com/pkg/errors v0.9.1 // 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/fasthttp v1.45.0 // indirect
 	github.com/valyala/tcplisten v1.0.0 // indirect
 	github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673 // indirect
-	golang.org/x/net v0.9.0 // indirect
+	golang.org/x/net v0.8.0 // indirect
 	golang.org/x/sys v0.7.0 // indirect
-	golang.org/x/text v0.9.0 // indirect
-	golang.org/x/tools v0.8.0 // indirect
+	golang.org/x/text v0.8.0 // indirect
+	golang.org/x/tools v0.7.0 // indirect
 	gopkg.in/yaml.v2 v2.4.0 // indirect
+	gopkg.in/yaml.v3 v3.0.1 // indirect
+	howett.net/plist v1.0.0 // indirect
 )
--- a/go.sum
+++ b/go.sum
@@ -1,9 +1,7 @@
-github.com/KyleBanks/depth v1.2.1 h1:5h8fQADFrWtarTdtDudMmGsC7GPbOAu6RVB3ffsVFHc=
-github.com/KyleBanks/depth v1.2.1/go.mod h1:jzSb9d0L43HxTQfT+oSA1EEp2q+ne2uh6XgeJcm8brE=
-github.com/PuerkitoBio/purell v1.1.1 h1:WEQqlqaGbrPkxLJWfBwQmfEAE1Z7ONdDLqrN38tNFfI=
-github.com/PuerkitoBio/purell v1.1.1/go.mod h1:c11w/QuzBsJSee3cPx9rAFu61PvFxuPbtSwDGJws/X0=
-github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578 h1:d+Bc7a5rLufV/sSk/8dngufqelfh6jnri85riMAaF/M=
-github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578/go.mod h1:uGdkoq3SwY9Y+13GIhn11/XLaGBb4BfwItxLd5jeuXE=
+github.com/StackExchange/wmi v1.2.1 h1:VIkavFPXSjcnS+O8yTq7NI32k0R5Aj+v39y29VYDOSA=
+github.com/StackExchange/wmi v1.2.1/go.mod h1:rcmrprowKIVzvc+NUiLncP2uuArMWLCbu9SBzvHz7e8=
+github.com/andybalholm/brotli v1.0.4 h1:V7DdXeJtZscaqfNuAdSRuRFzuiKlHSC/Zh3zl9qY3JY=
+github.com/andybalholm/brotli v1.0.4/go.mod h1:fO7iG3H7G2nSZ7m0zPUDn85XEX2GTukHGRSepvi9Eig=
 github.com/andybalholm/brotli v1.0.5 h1:8uQZIdzKmjc/iuPu7O2ioW48L81FgatrcpfFmiq/cCs=
 github.com/andybalholm/brotli v1.0.5/go.mod h1:fO7iG3H7G2nSZ7m0zPUDn85XEX2GTukHGRSepvi9Eig=
 github.com/chzyer/logex v1.1.10/go.mod h1:+Ywpsq7O8HXn0nuIou7OrIPyXbp3wmkHB+jjWRnGsAI=
@@ -16,30 +14,30 @@ github.com/creack/pty v1.1.9/go.mod h1:oKZEueFk5CKHvIhNR5MUki03XCEU+Q6VDXinZuGJ3
 github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
 github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
 github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
-github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be h1:3Hic97PY6hcw/SY44RuR7kyONkxd744RFeRrqckzwNQ=
-github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
-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-openapi/jsonpointer v0.19.3/go.mod h1:Pl9vOtqEWErmShwVjC8pYs9cog34VGT37dQOVbmoatg=
-github.com/go-openapi/jsonpointer v0.19.5 h1:gZr+CIYByUqjcgeLXnQu2gHYQC9o73G2XUeOFYEICuY=
-github.com/go-openapi/jsonpointer v0.19.5/go.mod h1:Pl9vOtqEWErmShwVjC8pYs9cog34VGT37dQOVbmoatg=
-github.com/go-openapi/jsonreference v0.19.6 h1:UBIxjkht+AWIgYzCDSv2GN+E/togfwXUJFRTWhl2Jjs=
-github.com/go-openapi/jsonreference v0.19.6/go.mod h1:diGHMEHg2IqXZGKxqyvWdfWU/aim5Dprw5bqpKkTvns=
-github.com/go-openapi/spec v0.20.4 h1:O8hJrt0UMnhHcluhIdUgCLRWyM2x7QkBXRvOs7m+O1M=
-github.com/go-openapi/spec v0.20.4/go.mod h1:faYFR1CvsJZ0mNsmsphTMSoRrNV3TEDoAM7FOEWeq8I=
-github.com/go-openapi/swag v0.19.5/go.mod h1:POnQmlKehdgb5mhVOsnJFsivZCEZ/vjK9gh66Z9tfKk=
-github.com/go-openapi/swag v0.19.15 h1:D2NRCBzS9/pEY3gP9Nl8aDqGUcPFrwG2p+CNFrLyrCM=
-github.com/go-openapi/swag v0.19.15/go.mod h1:QYRuS/SOXUCsnplDa677K7+DxSOj6IPNl/eQntq43wQ=
+github.com/ghodss/yaml v1.0.0 h1:wQHKEahhL6wmXdzwWG11gIVCkOv05bNOh+Rxn0yngAk=
+github.com/ghodss/yaml v1.0.0/go.mod h1:4dBDuWmgqj2HViK6kFavaiC9ZROes6MMH2rRYeMEF04=
+github.com/go-logr/logr v1.2.3 h1:2DntVwHkVopvECVRSlL5PSo9eG+cAkDCuckLubN+rq0=
+github.com/go-logr/logr v1.2.3/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A=
+github.com/go-ole/go-ole v1.2.5/go.mod h1:pprOEPIfldk/42T2oK7lQ4v4JSDwmV0As9GaiUsvbm0=
+github.com/go-ole/go-ole v1.2.6 h1:/Fpf6oFPoeFik9ty7siob0G6Ke8QvQEuVcuChpwXzpY=
+github.com/go-ole/go-ole v1.2.6/go.mod h1:pprOEPIfldk/42T2oK7lQ4v4JSDwmV0As9GaiUsvbm0=
+github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420213900-1c24f5b86ac4 h1:GkGuqnhDFKlCsT6Bo8sdY00A7rFXCzfU1nBOSS4ZnYM=
+github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420213900-1c24f5b86ac4/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
 github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708 h1:cfOi4TWvQ6JsAm9Q1A8I8j9YfNy10bmIfwOiyGyU5wQ=
 github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
+github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230419091210-303cf2a59a94 h1:rtrrMvlIq+g0/ltXjDdLeNtz0uc4wJ4Qs15GFU4ba4c=
+github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230419091210-303cf2a59a94/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
 github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c h1:48I7jpLNGiQeBmF0SFVVbREh8vlG0zN13v9LH5ctXis=
 github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230504223241-67ff6a4db244/go.mod h1:LvSQx5QAYBAMpWkbyVFFDiM1Tzj8LP55DvmUM3hbRMY=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230505100647-691d479d3675 h1:plXywr95RghidIHPHl+O/zpcNXenEeS6w/6WftFNr9E=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230505100647-691d479d3675/go.mod h1:LvSQx5QAYBAMpWkbyVFFDiM1Tzj8LP55DvmUM3hbRMY=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230421172644-351a5a40eead h1:C+lcH1srw+c0qPDx1WF8zjGiiOqoPxVICt7bI1sj5cM=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230421172644-351a5a40eead/go.mod h1:35AKIEMY+YTKCBJIa/8GZcNGJ2J+nQk1hQiWo/OnEWw=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230424120713-e45cebe33c04 h1:NPiv7mcIjU71MhEv3v4RRWKSBNXnnCyu6VX4CaaHz2I=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230424120713-e45cebe33c04/go.mod h1:35AKIEMY+YTKCBJIa/8GZcNGJ2J+nQk1hQiWo/OnEWw=
 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 v2.42.0 h1:Fnp7ybWvS+sjNQsFvkhf4G8OhXswvB6Vee8hM/LyS+8=
+github.com/gofiber/fiber/v2 v2.42.0/go.mod h1:3+SGNjqMh5VQH5Vz2Wdi43zTIV16ktlFd3x3R6O1Zlc=
 github.com/gofiber/fiber/v2 v2.44.0 h1:Z90bEvPcJM5GFJnu1py0E1ojoerkyew3iiNJ78MQCM8=
 github.com/gofiber/fiber/v2 v2.44.0/go.mod h1:VTMtb/au8g01iqvHyaCzftuM/xmZgKOZCtFzz6CdV9w=
 github.com/golang/protobuf v1.5.3 h1:KhyjKVUg7Usr/dYsdSqoFveMYd5ko72D+zANwlG1mmg=
@@ -49,45 +47,41 @@ github.com/google/pprof v0.0.0-20210407192527-94a9f03dee38 h1:yAJXTCF9TqKcTiHJAE
 github.com/google/pprof v0.0.0-20210407192527-94a9f03dee38/go.mod h1:kpwsk12EmLew5upagYY7GY0pfYCcupk39gWOCRROcvE=
 github.com/google/uuid v1.3.0 h1:t6JiXgmwXMjEs8VusXIJk2BXHsn+wx8BZdTaoZ5fu7I=
 github.com/google/uuid v1.3.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
-github.com/hashicorp/errwrap v1.0.0 h1:hLrqtEDnRye3+sgx6z4qVLNuviH3MR5aQ0ykNJa/UYA=
-github.com/hashicorp/errwrap v1.0.0/go.mod h1:YH+1FKiLXxHSkmPseP+kNlulaMuP3n2brvKWEqk/Jc4=
-github.com/hashicorp/go-multierror v1.1.1 h1:H5DkEtf6CXdFp0N0Em5UCwQpXMWke8IA0+lD48awMYo=
-github.com/hashicorp/go-multierror v1.1.1/go.mod h1:iw975J/qwKPdAO1clOe2L8331t/9/fmwbPZ6JB6eMoM=
 github.com/ianlancetaylor/demangle v0.0.0-20200824232613-28f6c0f3b639/go.mod h1:aSSvb/t6k1mPoxDqO4vJh6VOCGPwU4O0C2/Eqndh1Sc=
-github.com/josharian/intern v1.0.0 h1:vlS4z54oSdjm0bgjRigI+G1HpF+tI+9rE5LLzOg8HmY=
-github.com/josharian/intern v1.0.0/go.mod h1:5DoeVV0s6jJacbCEi61lwdGj/aVlrQvzHFFd8Hwg//Y=
+github.com/jaypipes/ghw v0.10.0 h1:UHu9UX08Py315iPojADFPOkmjTsNzHj4g4adsNKKteY=
+github.com/jaypipes/ghw v0.10.0/go.mod h1:jeJGbkRB2lL3/gxYzNYzEDETV1ZJ56OKr+CSeSEym+g=
+github.com/jaypipes/pcidb v1.0.0 h1:vtZIfkiCUE42oYbJS0TAq9XSfSmcsgo9IdxSm9qzYU8=
+github.com/jaypipes/pcidb v1.0.0/go.mod h1:TnYUvqhPBzCKnH34KrIX22kAeEbDCSRJ9cqLRCuNDfk=
+github.com/jessevdk/go-flags v1.4.0/go.mod h1:4FA24M0QyGHXBuZZK/XkWh8h0e1EYbRYJSGM75WSRxI=
+github.com/klauspost/compress v1.15.9 h1:wKRjX6JRtDdrE9qwa4b/Cip7ACOshUI4smpCQanqjSY=
+github.com/klauspost/compress v1.15.9/go.mod h1:PhcZ0MbTNciWF3rruxRgKxI5NkcHHrHUDtV4Yw2GlzU=
 github.com/klauspost/compress v1.16.3 h1:XuJt9zzcnaz6a16/OU53ZjWp/v7/42WcR5t2a0PcNQY=
 github.com/klauspost/compress v1.16.3/go.mod h1:ntbaceVETuRiXiv4DpjP66DpAtAGkEQskQzEyD//IeE=
-github.com/kr/pretty v0.1.0/go.mod h1:dAy3ld7l9f0ibDNOQOHHMYYIIbhfbHSm3C4ZsoJORNo=
-github.com/kr/pty v1.1.1/go.mod h1:pFQYn66WHrOpPYNljwOMqo10TkYh1fy3cYio2l3bCsQ=
-github.com/kr/text v0.1.0/go.mod h1:4Jbv+DJW3UT/LiOwJeYQe1efqtUx/iVham/4vfdArNI=
+github.com/kr/pretty v0.1.0 h1:L/CwN0zerZDmRFUapSPitk6f+Q3+0za1rQkzVuMiMFI=
 github.com/kr/text v0.2.0 h1:5Nx0Ya0ZqY2ygV366QzturHI13Jq95ApcVaJBhpS+AY=
 github.com/kr/text v0.2.0/go.mod h1:eLer722TekiGuMkidMxC/pM04lWEeraHUUmBw8l2grE=
-github.com/mailru/easyjson v0.0.0-20190614124828-94de47d64c63/go.mod h1:C1wdFJiN94OJF2b5HbByQZoLdCWB1Yqtg26g4irojpc=
-github.com/mailru/easyjson v0.0.0-20190626092158-b2ccc519800e/go.mod h1:C1wdFJiN94OJF2b5HbByQZoLdCWB1Yqtg26g4irojpc=
-github.com/mailru/easyjson v0.7.6 h1:8yTIVnZgCoiM1TgqoeTl+LfU5Jg6/xL3QhGQnimLYnA=
-github.com/mailru/easyjson v0.7.6/go.mod h1:xzfreul335JAWq5oZzymOObrkdz5UnU4kGfJJLY9Nlc=
 github.com/mattn/go-colorable v0.1.12/go.mod h1:u5H1YNBxpqRaxsYJYSkiCWKzEfiAb1Gb520KVy5xxl4=
 github.com/mattn/go-colorable v0.1.13 h1:fFA4WZxdEF4tXPZVKMLwD8oUnCTTo08duU7wxecdEvA=
 github.com/mattn/go-colorable v0.1.13/go.mod h1:7S9/ev0klgBDR4GtXTXX8a3vIGJpMovkB8vQcUbaXHg=
 github.com/mattn/go-isatty v0.0.14/go.mod h1:7GGIvUiUoEMVVmxf/4nioHXj79iQHKdU27kJ6hsGG94=
 github.com/mattn/go-isatty v0.0.16/go.mod h1:kYGgaQfpe5nmfYZH+SKPsOc2e4SrIfOl2e/yFXSvRLM=
+github.com/mattn/go-isatty v0.0.17 h1:BTarxUcIeDqL27Mc+vyvdWYSL28zpIhv3RoTdsLMPng=
+github.com/mattn/go-isatty v0.0.17/go.mod h1:kYGgaQfpe5nmfYZH+SKPsOc2e4SrIfOl2e/yFXSvRLM=
 github.com/mattn/go-isatty v0.0.18 h1:DOKFKCQ7FNG2L1rbrmstDN4QVRdS89Nkh85u68Uwp98=
 github.com/mattn/go-isatty v0.0.18/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
 github.com/mattn/go-runewidth v0.0.14 h1:+xnbZSEeDbOIg5/mE6JF0w6n9duR1l3/WmbinWVwUuU=
 github.com/mattn/go-runewidth v0.0.14/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
-github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e h1:fD57ERR4JtEqsWbfPhv4DMiApHyliiK5xCTNVSPiaAs=
-github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e/go.mod h1:zD1mROLANZcx1PVRCS0qkT7pwLkGfwJo4zjcN/Tysno=
-github.com/onsi/ginkgo/v2 v2.9.4 h1:xR7vG4IXt5RWx6FfIjyAtsoMAtnc3C/rFXBBd2AjZwE=
-github.com/onsi/ginkgo/v2 v2.9.4/go.mod h1:gCQYp2Q+kSoIj7ykSVb9nskRSsR6PUj4AiLywzIhbKM=
+github.com/mitchellh/go-homedir v1.1.0 h1:lukF9ziXFxDFPkA1vsr5zpc1XuPDn/wFntq5mG+4E0Y=
+github.com/mitchellh/go-homedir v1.1.0/go.mod h1:SfyaCUpYCn1Vlf4IUYiD9fPX4A5wJrkLzIz1N1q0pr0=
+github.com/onsi/ginkgo/v2 v2.9.2 h1:BA2GMJOtfGAfagzYtrAlufIP0lq6QERkFmHLMLPwFSU=
+github.com/onsi/ginkgo/v2 v2.9.2/go.mod h1:WHcJJG2dIlcCqVfBAwUCrJxSPFb6v4azBwgxeMeDuts=
 github.com/onsi/gomega v1.27.6 h1:ENqfyGeS5AX/rlXDd/ETokDz93u0YufY1Pgxuy/PvWE=
 github.com/onsi/gomega v1.27.6/go.mod h1:PIQNjfQwkP3aQAH7lf7j87O/5FiNr+ZR8+ipb+qQlhg=
-github.com/otiai10/mint v1.4.1 h1:HOVBfKP1oXIc0wWo9hZ8JLdZtyCPWqjvmFDuVZ0yv2Y=
-github.com/otiai10/openaigo v1.1.0 h1:zRvGBqZUW5PCMgdkJNsPVTBd8tOLCMTipXE5wD2pdTg=
-github.com/otiai10/openaigo v1.1.0/go.mod h1:792bx6AWTS61weDi2EzKpHHnTF4eDMAlJ5GvAk/mgPg=
+github.com/philhofer/fwd v1.1.1 h1:GdGcTjf5RNAxwS4QLsiMzJYj5KEvPJD3Abr261yRQXQ=
 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/pkg/errors v0.9.1 h1:FEBLx1zS214owpjy7qsBeixbURkuhQAwrK5UwLGTwt4=
 github.com/pkg/errors v0.9.1/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINEl0=
 github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
 github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
@@ -98,28 +92,31 @@ 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 v1.9.3 h1:uNak3Rn5pPsKRs9bdT7RqRZEyej/zdZOEI2/8wvrFtM=
-github.com/sashabaranov/go-openai v1.9.3/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
+github.com/sashabaranov/go-openai v1.9.0 h1:NoiO++IISxxJ1pRc0n7uZvMGMake0G+FJ1XPwXtprsA=
+github.com/sashabaranov/go-openai v1.9.0/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 h1:Q+gqLBOPkFGHyCJxXMRqtUgUbTjI8/Ze8vu8GGyNFwo=
 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/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
-github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI=
+github.com/stretchr/testify v1.6.1 h1:hDPOHmpOpP40lSULcqw7IrRb/u7w6RpDC9399XyoNd0=
 github.com/stretchr/testify v1.6.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
-github.com/stretchr/testify v1.7.0 h1:nwc3DEeHmmLAfoZucVR881uASk0Mfjw8xYJ99tb5CcY=
-github.com/swaggo/swag v1.16.1 h1:fTNRhKstPKxcnoKsytm4sahr8FaYzUcT7i1/3nd/fBg=
-github.com/swaggo/swag v1.16.1/go.mod h1:9/LMvHycG3NFHfR6LwvikHv5iFvmPADQ359cKikGxto=
+github.com/tinylib/msgp v1.1.6 h1:i+SbKraHhnrf9M5MYmvQhFnbLhAXSDWF8WWsuyRdocw=
 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/urfave/cli/v2 v2.25.3 h1:VJkt6wvEBOoSjPFQvOkv6iWIrsJyCrKGtCtxXWwmGeY=
-github.com/urfave/cli/v2 v2.25.3/go.mod h1:GHupkWPMM0M/sj1a2b4wUrWBPzazNrIjouW6fmdJLxc=
+github.com/urfave/cli/v2 v2.25.0 h1:ykdZKuQey2zq0yin/l7JOm9Mh+pg72ngYMeB0ABn6q8=
+github.com/urfave/cli/v2 v2.25.0/go.mod h1:GHupkWPMM0M/sj1a2b4wUrWBPzazNrIjouW6fmdJLxc=
+github.com/urfave/cli/v2 v2.25.1 h1:zw8dSP7ghX0Gmm8vugrs6q9Ku0wzweqPyshy+syu9Gw=
+github.com/urfave/cli/v2 v2.25.1/go.mod h1:GHupkWPMM0M/sj1a2b4wUrWBPzazNrIjouW6fmdJLxc=
 github.com/valyala/bytebufferpool v1.0.0 h1:GqA5TC/0021Y/b9FG4Oi9Mr3q7XYx6KllzawFIhcdPw=
 github.com/valyala/bytebufferpool v1.0.0/go.mod h1:6bBcMArwyJ5K/AmCkWv1jt77kVWyCJ6HpOuEn7z0Csc=
-github.com/valyala/fasthttp v1.47.0 h1:y7moDoxYzMooFpT5aHgNgVOQDrS3qlkfiP9mDtGGK9c=
-github.com/valyala/fasthttp v1.47.0/go.mod h1:k2zXd82h/7UZc3VOdJ2WaUqt1uZ/XpXAfE9i+HBC3lA=
+github.com/valyala/fasthttp v1.44.0 h1:R+gLUhldIsfg1HokMuQjdQ5bh9nuXHPIfvkYUu9eR5Q=
+github.com/valyala/fasthttp v1.44.0/go.mod h1:f6VbjjoI3z1NDOZOv17o6RvtRSWxC77seBFc2uWtgiY=
+github.com/valyala/fasthttp v1.45.0 h1:zPkkzpIn8tdHZUrVa6PzYd0i5verqiPSkgTd3bSUcpA=
+github.com/valyala/fasthttp v1.45.0/go.mod h1:k2zXd82h/7UZc3VOdJ2WaUqt1uZ/XpXAfE9i+HBC3lA=
 github.com/valyala/tcplisten v1.0.0 h1:rBHj/Xf+E1tRGZyWIWwJDiRY0zc1Js+CV5DqwacVSA8=
 github.com/valyala/tcplisten v1.0.0/go.mod h1:T0xQ8SeCZGxckz9qRXTfG43PvQ/mcWh7FwZEA7Ioqkc=
 github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673 h1:bAn7/zixMGCfxrRTfdpNzjtPYqr8smhKouy9mxVdGPU=
@@ -130,36 +127,40 @@ golang.org/x/crypto v0.0.0-20190308221718-c2843e01d9a2/go.mod h1:djNgcEr1/C05ACk
 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/crypto v0.0.0-20220214200702-86341886e292/go.mod h1:IxCIyHEi3zRg3s0A5j5BB6A9Jmi73HwBIUl50j+osU4=
 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 v0.0.0-20190404232315-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 v0.0.0-20201021035429-f5854403a974/go.mod h1:sp8m0HH+o8qH0wwXwYZr8TS3Oi6o0r6Gce1SSxlDquU=
 golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=
-golang.org/x/net v0.0.0-20210421230115-4e50805a0758/go.mod h1:72T/g9IO56b78aLF+1Kcs5dz7/ng1VjMUvfKvpfy+jM=
+golang.org/x/net v0.0.0-20211112202133-69e39bad7dc2/go.mod h1:9nx3DQGgdP8bBQD5qxJ1jj9UTztislL4KSBs9R2vV5Y=
 golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug+ECip1KBveYUHfp+8e9klMJ9c=
+golang.org/x/net v0.0.0-20220906165146-f3363e06e74c/go.mod h1:YDH+HFinaLZZlnHAfSS6ZXJJ9M9t4Dl22yv3iI2vPwk=
 golang.org/x/net v0.3.0/go.mod h1:MBQ8lrhLObU/6UmLb4fmbmk5OcyYmqtbGd/9yIeKjEE=
-golang.org/x/net v0.9.0 h1:aWJ/m6xSmxWBx+V0XRHTlrYrPG56jKsLdTFmsSsCzOM=
-golang.org/x/net v0.9.0/go.mod h1:d48xBJpPfHeWQsugry2m+kC02ZBRGRgulfHnEXEuWns=
+golang.org/x/net v0.8.0 h1:Zrh2ngAOFYneWTAIAPethzeaQLuHwhuBkuV6ZiRnUaQ=
+golang.org/x/net v0.8.0/go.mod h1:QVkue5JL9kW//ek3r6jTKnTFis1tRmNAW2P1shuFdJc=
 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 v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
 golang.org/x/sys v0.0.0-20190412213103-97732733099d/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
+golang.org/x/sys v0.0.0-20190916202348-b4ddaad3f8a3/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20191204072324-ce4227a45e2e/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20200930185726-fdedc70b468f/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20201119102817-f84b799fce68/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
-golang.org/x/sys v0.0.0-20210420072515-93ed5bcd2bfe/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 v0.0.0-20220728004956-3c1f35247d10/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 h1:MVltZSvRTcU2ljQOhs94SXPftV6DCNnZViHeQps87pQ=
 golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.7.0 h1:3jlCCIQZPdOYu1h8BkNvLz8Kgwtae2cagcG/VamtZRU=
 golang.org/x/sys v0.7.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
@@ -171,27 +172,26 @@ 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 v0.8.0 h1:57P1ETyNKtuIjB4SRd15iJxuhj8Gc416Y78H3qgMh68=
+golang.org/x/text v0.8.0/go.mod h1:e1OnstbJyHTd6l/uOt8jFFHp6TRDWZR/bV3emEE/zU8=
 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 v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc=
 golang.org/x/tools v0.4.0/go.mod h1:UE5sM2OK9E/d67R0ANs2xJizIymRP5gJU295PvKXxjQ=
-golang.org/x/tools v0.8.0 h1:vSDcovVPld282ceKgDimkRSC8kpaH1dgyc9UMzlt84Y=
-golang.org/x/tools v0.8.0/go.mod h1:JxBZ99ISMI5ViVkT1tr6tdNmXeTrcpVSD3vZ1RsRdN4=
+golang.org/x/tools v0.7.0 h1:W4OVu8VVOaIO0yzWMNdepAulS7YfoS3Zabrm8DOXXU4=
+golang.org/x/tools v0.7.0/go.mod h1:4pg6aUX35JBAogB10C9AtvVL+qowtN4pT3CGSQex14s=
 golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 golang.org/x/xerrors v0.0.0-20191011141410-1b5146add898/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 google.golang.org/protobuf v1.28.0 h1:w43yiav+6bVFTBQFZX0r7ipe9JQ1QsbMgHwbBziscLw=
 gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
-gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
-gopkg.in/check.v1 v1.0.0-20200227125254-8fa46927fb4f h1:BLraFXnmrev5lT+xlilqcH8XK9/i0At2xKjWk4p6zsU=
-gopkg.in/check.v1 v1.0.0-20200227125254-8fa46927fb4f/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
-gopkg.in/yaml.v2 v2.2.2/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=
+gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127 h1:qIbj1fsPNlZgppZ+VLlY7N33q108Sa+fhmuc+sWQYwY=
+gopkg.in/yaml.v1 v1.0.0-20140924161607-9f9df34309c0/go.mod h1:WDnlLJ4WF5VGsH/HVa3CI79GS0ol3YnhVnKP89i0kNg=
 gopkg.in/yaml.v2 v2.4.0 h1:D8xgwECY7CYvx+Y2n4sBz93Jn9JRvxdiyyo8CTfuKaY=
 gopkg.in/yaml.v2 v2.4.0/go.mod h1:RDklbk79AGWmwhnvt/jBztapEOGDOx6ZbXqjP6csGnQ=
 gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
-gopkg.in/yaml.v3 v3.0.0-20200615113413-eeeca48fe776/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
 gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
 gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
+howett.net/plist v1.0.0 h1:7CrbWYbPPO/PyNy38b2EB/+gYbjCe2DXBxgtOOZbSQM=
+howett.net/plist v1.0.0/go.mod h1:lqaXoTrLY4hg8tnEzNru53gicrbv7rrk+2xJA/7hw9g=
--- a/main.go
+++ b/main.go
@@ -1,12 +1,11 @@
 package main

 import (
-	"fmt"
 	"os"
-	"path/filepath"

 	api "github.com/go-skynet/LocalAI/api"
 	model "github.com/go-skynet/LocalAI/pkg/model"
+	"github.com/jaypipes/ghw"
 	"github.com/rs/zerolog"
 	"github.com/rs/zerolog/log"
 	"github.com/urfave/cli/v2"
@@ -21,6 +20,12 @@ func main() {
 		os.Exit(1)
 	}

+	threads := 4
+	cpu, err := ghw.CPU()
+	if err == nil {
+		threads = int(cpu.TotalCores)
+	}
+
 	app := &cli.App{
 		Name:  "LocalAI",
 		Usage: "OpenAI compatible API for running LLaMA/GPT models locally on CPU with consumer grade hardware.",
@@ -37,18 +42,13 @@ func main() {
 				Name:        "threads",
 				DefaultText: "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
 				EnvVars:     []string{"THREADS"},
-				Value:       4,
+				Value:       threads,
 			},
 			&cli.StringFlag{
 				Name:        "models-path",
 				DefaultText: "Path containing models used for inferencing",
 				EnvVars:     []string{"MODELS_PATH"},
-				Value:       filepath.Join(path, "models"),
-			},
-			&cli.StringFlag{
-				Name:        "config-file",
-				DefaultText: "Config file",
-				EnvVars:     []string{"CONFIG_FILE"},
+				Value:       path,
 			},
 			&cli.StringFlag{
 				Name:        "address",
@@ -80,8 +80,7 @@ It uses llama.cpp, ggml and gpt4all as backend with golang c bindings.
 		UsageText: `local-ai [options]`,
 		Copyright: "go-skynet authors",
 		Action: func(ctx *cli.Context) error {
-			fmt.Printf("Starting LocalAI using %d threads, with models path: %s\n", ctx.Int("threads"), ctx.String("models-path"))
-			return api.App(ctx.String("config-file"), model.NewModelLoader(ctx.String("models-path")), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false).Listen(ctx.String("address"))
+			return api.App(model.NewModelLoader(ctx.String("models-path")), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false).Listen(ctx.String("address"))
 		},
 	}

--- a/pkg/model/loader.go
+++ b/pkg/model/loader.go
@@ -10,46 +10,43 @@ import (
 	"sync"
 	"text/template"

-	"github.com/hashicorp/go-multierror"
 	"github.com/rs/zerolog/log"

-	rwkv "github.com/donomii/go-rwkv.cpp"
 	gpt2 "github.com/go-skynet/go-gpt2.cpp"
 	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
 	llama "github.com/go-skynet/go-llama.cpp"
 )

 type ModelLoader struct {
-	ModelPath string
+	modelPath string
 	mu        sync.Mutex

 	models            map[string]*llama.LLama
 	gptmodels         map[string]*gptj.GPTJ
 	gpt2models        map[string]*gpt2.GPT2
 	gptstablelmmodels map[string]*gpt2.StableLM
-	rwkv              map[string]*rwkv.RwkvState
-	promptsTemplates  map[string]*template.Template
+
+	promptsTemplates map[string]*template.Template
 }

 func NewModelLoader(modelPath string) *ModelLoader {
 	return &ModelLoader{
-		ModelPath:         modelPath,
+		modelPath:         modelPath,
 		gpt2models:        make(map[string]*gpt2.GPT2),
 		gptmodels:         make(map[string]*gptj.GPTJ),
 		gptstablelmmodels: make(map[string]*gpt2.StableLM),
 		models:            make(map[string]*llama.LLama),
-		rwkv:              make(map[string]*rwkv.RwkvState),
 		promptsTemplates:  make(map[string]*template.Template),
 	}
 }

 func (ml *ModelLoader) ExistsInModelPath(s string) bool {
-	_, err := os.Stat(filepath.Join(ml.ModelPath, s))
+	_, err := os.Stat(filepath.Join(ml.modelPath, s))
 	return err == nil
 }

 func (ml *ModelLoader) ListModels() ([]string, error) {
-	files, err := ioutil.ReadDir(ml.ModelPath)
+	files, err := ioutil.ReadDir(ml.modelPath)
 	if err != nil {
 		return []string{}, err
 	}
@@ -73,18 +70,7 @@ func (ml *ModelLoader) TemplatePrefix(modelName string, in interface{}) (string,

 	m, ok := ml.promptsTemplates[modelName]
 	if !ok {
-		modelFile := filepath.Join(ml.ModelPath, modelName)
-		if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-			return "", err
-		}
-
-		t, exists := ml.promptsTemplates[modelName]
-		if exists {
-			m = t
-		}
-	}
-	if m == nil {
-		return "", fmt.Errorf("failed loading any template")
+		return "", fmt.Errorf("no prompt template available")
 	}

 	var buf bytes.Buffer
@@ -102,14 +88,14 @@ func (ml *ModelLoader) loadTemplateIfExists(modelName, modelFile string) error {
 	}

 	// Check if the model path exists
-	// skip any error here - we run anyway if a template does not exist
+	// skip any error here - we run anyway if a template is not exist
 	modelTemplateFile := fmt.Sprintf("%s.tmpl", modelName)

 	if !ml.ExistsInModelPath(modelTemplateFile) {
 		return nil
 	}

-	dat, err := os.ReadFile(filepath.Join(ml.ModelPath, modelTemplateFile))
+	dat, err := os.ReadFile(filepath.Join(ml.modelPath, modelTemplateFile))
 	if err != nil {
 		return err
 	}
@@ -139,7 +125,7 @@ func (ml *ModelLoader) LoadStableLMModel(modelName string) (*gpt2.StableLM, erro
 	}

 	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
+	modelFile := filepath.Join(ml.modelPath, modelName)
 	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)

 	model, err := gpt2.NewStableLM(modelFile)
@@ -170,8 +156,15 @@ func (ml *ModelLoader) LoadGPT2Model(modelName string) (*gpt2.GPT2, error) {
 		return m, nil
 	}

+	// TODO: This needs refactoring, it's really bad to have it in here
+	// Check if we have a GPTStable model loaded instead - if we do we return an error so the API tries with StableLM
+	if _, ok := ml.gptstablelmmodels[modelName]; ok {
+		log.Debug().Msgf("Model is GPTStableLM: %s", modelName)
+		return nil, fmt.Errorf("this model is a GPTStableLM one")
+	}
+
 	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
+	modelFile := filepath.Join(ml.modelPath, modelName)
 	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)

 	model, err := gpt2.New(modelFile)
@@ -202,8 +195,19 @@ func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
 		return m, nil
 	}

+	// TODO: This needs refactoring, it's really bad to have it in here
+	// Check if we have a GPT2 model loaded instead - if we do we return an error so the API tries with GPT2
+	if _, ok := ml.gpt2models[modelName]; ok {
+		log.Debug().Msgf("Model is GPT2: %s", modelName)
+		return nil, fmt.Errorf("this model is a GPT2 one")
+	}
+	if _, ok := ml.gptstablelmmodels[modelName]; ok {
+		log.Debug().Msgf("Model is GPTStableLM: %s", modelName)
+		return nil, fmt.Errorf("this model is a GPTStableLM one")
+	}
+
 	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
+	modelFile := filepath.Join(ml.modelPath, modelName)
 	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)

 	model, err := gptj.New(modelFile)
@@ -220,36 +224,6 @@ func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
 	return model, err
 }

-func (ml *ModelLoader) LoadRWKV(modelName, tokenFile string, threads uint32) (*rwkv.RwkvState, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	log.Debug().Msgf("Loading model name: %s", modelName)
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.rwkv[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
-	tokenPath := filepath.Join(ml.ModelPath, tokenFile)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model := rwkv.LoadFiles(modelFile, tokenPath, threads)
-	if model == nil {
-		return nil, fmt.Errorf("could not load model")
-	}
-
-	ml.rwkv[modelName] = model
-	return model, nil
-}
-
 func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOption) (*llama.LLama, error) {
 	ml.mu.Lock()
 	defer ml.mu.Unlock()
@@ -266,8 +240,23 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
 		return m, nil
 	}

+	// TODO: This needs refactoring, it's really bad to have it in here
+	// Check if we have a GPTJ model loaded instead - if we do we return an error so the API tries with GPTJ
+	if _, ok := ml.gptmodels[modelName]; ok {
+		log.Debug().Msgf("Model is GPTJ: %s", modelName)
+		return nil, fmt.Errorf("this model is a GPTJ one")
+	}
+	if _, ok := ml.gpt2models[modelName]; ok {
+		log.Debug().Msgf("Model is GPT2: %s", modelName)
+		return nil, fmt.Errorf("this model is a GPT2 one")
+	}
+	if _, ok := ml.gptstablelmmodels[modelName]; ok {
+		log.Debug().Msgf("Model is GPTStableLM: %s", modelName)
+		return nil, fmt.Errorf("this model is a GPTStableLM one")
+	}
+
 	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
+	modelFile := filepath.Join(ml.modelPath, modelName)
 	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)

 	model, err := llama.New(modelFile, opts...)
@@ -283,83 +272,3 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
 	ml.models[modelName] = model
 	return model, err
 }
-
-const tokenizerSuffix = ".tokenizer.json"
-
-var loadedModels map[string]interface{} = map[string]interface{}{}
-var muModels sync.Mutex
-
-func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
-	switch strings.ToLower(backendString) {
-	case "llama":
-		return ml.LoadLLaMAModel(modelFile, llamaOpts...)
-	case "stablelm":
-		return ml.LoadStableLMModel(modelFile)
-	case "gpt2":
-		return ml.LoadGPT2Model(modelFile)
-	case "gptj":
-		return ml.LoadGPTJModel(modelFile)
-	case "rwkv":
-		return ml.LoadRWKV(modelFile, modelFile+tokenizerSuffix, threads)
-	default:
-		return nil, fmt.Errorf("backend unsupported: %s", backendString)
-	}
-}
-
-func (ml *ModelLoader) GreedyLoader(modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
-	updateModels := func(model interface{}) {
-		muModels.Lock()
-		defer muModels.Unlock()
-		loadedModels[modelFile] = model
-	}
-
-	muModels.Lock()
-	m, exists := loadedModels[modelFile]
-	if exists {
-		muModels.Unlock()
-		return m, nil
-	}
-	muModels.Unlock()
-
-	model, modelerr := ml.LoadLLaMAModel(modelFile, llamaOpts...)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = ml.LoadGPTJModel(modelFile)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = ml.LoadGPT2Model(modelFile)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = ml.LoadStableLMModel(modelFile)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = ml.LoadRWKV(modelFile, modelFile+tokenizerSuffix, threads)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error())
-}
--- a/prompt-templates/wizardlm.tmpl
+++ b/prompt-templates/wizardlm.tmpl
@@ -1,3 +0,0 @@
-{{.Input}}
-
-### Response:
--- a/renovate.json
+++ b/renovate.json
@@ -1,4 +1,17 @@
 {
  "$schema": "https://docs.renovatebot.com/renovate-schema.json",
-  "extends": ["config:base"]
+  "extends": [
+    "config:base"
+  ],
+  "regexManagers": [
+    {
+      "fileMatch": [
+        "^Makefile$"
+      ],
+      "matchStrings": [
+        "#\\s*renovate:\\s*datasource=(?<datasource>.*?) depName=(?<depName>.*?)( datasourceTemplate=(?<datasourceTemplate>.*?))?( packageNameTemplate=(?<packageNameTemplate>.*?))?( depNameTemplate=(?<depNameTemplate>.*?))?( valueTemplate=(?<currentValueTemplate>.*?))?( versioning=(?<versioning>.*?))?\\s+.+_VERSION=(?<currentValue>.*?)\\s"
+      ],
+      "versioningTemplate": "{{#if versioning}}{{versioning}}{{/if}}"
+    }
+  ]
 }
--- a/tests/fixtures/completion.tmpl
+++ b/tests/fixtures/completion.tmpl
@@ -1 +0,0 @@
-{{.Input}}
--- a/tests/fixtures/config.yaml
+++ b/tests/fixtures/config.yaml
@@ -1,32 +0,0 @@
- name: list1
-  parameters:
-    model: testmodel
-    top_p: 80
-    top_k: 0.9
-    temperature: 0.1
-  context_size: 10
-  stopwords:
-  - "HUMAN:"
-  - "### Response:"
-  roles:
-    user: "HUMAN:"
-    system: "GPT:"
-  template:
-    completion: completion
-    chat: ggml-gpt4all-j
- name: list2
-  parameters:
-    top_p: 80
-    top_k: 0.9
-    temperature: 0.1
-    model: testmodel
-  context_size: 10
-  stopwords:
-  - "HUMAN:"
-  - "### Response:"
-  roles:
-    user: "HUMAN:"
-    system: "GPT:"
-  template:
-    completion: completion
-    chat: ggml-gpt4all-j
--- a/tests/fixtures/ggml-gpt4all-j.tmpl
+++ b/tests/fixtures/ggml-gpt4all-j.tmpl
@@ -1,4 +0,0 @@
-The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
-### Prompt:
-{{.Input}}
-### Response:
--- a/tests/fixtures/gpt4.yaml
+++ b/tests/fixtures/gpt4.yaml
@@ -1,16 +0,0 @@
-name: gpt4all
-parameters:
-  model: testmodel
-  top_p: 80
-  top_k: 0.9
-  temperature: 0.1
-context_size: 10
-stopwords:
- "HUMAN:"
- "### Response:"
-roles:
-  user: "HUMAN:"
-  system: "GPT:"
-template:
-  completion: completion
-  chat: ggml-gpt4all-j
--- a/tests/fixtures/gpt4_2.yaml
+++ b/tests/fixtures/gpt4_2.yaml
@@ -1,16 +0,0 @@
-name: gpt4all-2
-parameters:
-  model: testmodel
-  top_p: 80
-  top_k: 0.9
-  temperature: 0.1
-context_size: 10
-stopwords:
- "HUMAN:"
- "### Response:"
-roles:
-  user: "HUMAN:"
-  system: "GPT:"
-template:
-  completion: completion
-  chat: ggml-gpt4all-j
				`@@ -1 +0,0 @@`
				`Complete the following sentence: {{.Input}}`