From f1ad99512402bc8b4f7dfe6e0406e4437f7eef9c Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Fri, 20 Sep 2024 14:13:09 +0530 Subject: [PATCH 01/19] FEAT: Added Fireworks Integration --- poetry.lock | 41 ++++++++++++++++--- .../embedding/embedding_component.py | 14 +++++++ private_gpt/components/llm/llm_component.py | 13 ++++++ private_gpt/settings/settings.py | 16 ++++++++ pyproject.toml | 5 +++ settings-fireworks.yaml | 13 ++++++ settings.yaml | 27 +++++++----- 7 files changed, 112 insertions(+), 17 deletions(-) create mode 100644 settings-fireworks.yaml diff --git a/poetry.lock b/poetry.lock index 8310e1ec1..d36c756c6 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2450,6 +2450,21 @@ llama-index-core = ">=0.10.11.post1,<0.11.0" llama-index-embeddings-openai = ">=0.1.3,<0.2.0" llama-index-llms-azure-openai = ">=0.1.3,<0.2.0" +[[package]] +name = "llama-index-embeddings-fireworks" +version = "0.1.2" +description = "llama-index embeddings fireworks integration" +optional = true +python-versions = ">=3.8.1,<3.12" +files = [ + {file = "llama_index_embeddings_fireworks-0.1.2-py3-none-any.whl", hash = "sha256:33a6445e10c3f32dcdc4095f62590208c94f8d548de55712930050494bd6f6df"}, + {file = "llama_index_embeddings_fireworks-0.1.2.tar.gz", hash = "sha256:643f13e5b9d7b002809d42c0029c9d784d434b0cd972d88ba40e24b83c10e27d"}, +] + +[package.dependencies] +llama-index-core = ">=0.10.1,<0.11.0" +llama-index-llms-openai = ">=0.1.1,<0.2.0" + [[package]] name = "llama-index-embeddings-gemini" version = "0.1.8" @@ -2526,6 +2541,21 @@ httpx = "*" llama-index-core = ">=0.10.11.post1,<0.11.0" llama-index-llms-openai = ">=0.1.1,<0.2.0" +[[package]] +name = "llama-index-llms-fireworks" +version = "0.1.8" +description = "llama-index llms fireworks integration" +optional = true +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "llama_index_llms_fireworks-0.1.8-py3-none-any.whl", hash = "sha256:6cd5e54d8aebcc0475c938d0a88a0adec813192fb683be568115072924d62320"}, + {file = "llama_index_llms_fireworks-0.1.8.tar.gz", hash = "sha256:c9f7c26efa8c2db756309d46884db53f3e158c39ccf2a43d297d263d7130cca0"}, +] + +[package.dependencies] +llama-index-core = ">=0.10.1,<0.11.0" +llama-index-llms-openai = ">=0.1.1,<0.2.0" + [[package]] name = "llama-index-llms-gemini" version = "0.1.11" @@ -3861,6 +3891,8 @@ files = [ {file = "orjson-3.10.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:960db0e31c4e52fa0fc3ecbaea5b2d3b58f379e32a95ae6b0ebeaa25b93dfd34"}, {file = "orjson-3.10.6-cp312-none-win32.whl", hash = "sha256:a6ea7afb5b30b2317e0bee03c8d34c8181bc5a36f2afd4d0952f378972c4efd5"}, {file = "orjson-3.10.6-cp312-none-win_amd64.whl", hash = "sha256:874ce88264b7e655dde4aeaacdc8fd772a7962faadfb41abe63e2a4861abc3dc"}, + {file = "orjson-3.10.6-cp313-none-win32.whl", hash = "sha256:efdf2c5cde290ae6b83095f03119bdc00303d7a03b42b16c54517baa3c4ca3d0"}, + {file = "orjson-3.10.6-cp313-none-win_amd64.whl", hash = "sha256:8e190fe7888e2e4392f52cafb9626113ba135ef53aacc65cd13109eb9746c43e"}, {file = "orjson-3.10.6-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:66680eae4c4e7fc193d91cfc1353ad6d01b4801ae9b5314f17e11ba55e934183"}, {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:caff75b425db5ef8e8f23af93c80f072f97b4fb3afd4af44482905c9f588da28"}, {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3722fddb821b6036fd2a3c814f6bd9b57a89dc6337b9924ecd614ebce3271394"}, @@ -5869,11 +5901,6 @@ files = [ {file = "triton-3.0.0-1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb"}, {file = "triton-3.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bcbf3b1c48af6a28011a5c40a5b3b9b5330530c3827716b5fbf6d7adcc1e53e9"}, {file = "triton-3.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6e5727202f7078c56f91ff13ad0c1abab14a0e7f2c87e91b12b6f64f3e8ae609"}, - 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Example: 'text-embedding-3-large'.", ) +class FireWorksSettings(BaseModel): + api_key: str + model: str = Field( + "accounts/fireworks/models/llama-v3p1-70b-instruct", + description="FireWorks Model to use. Example: 'accounts/fireworks/models/llama-v3p1-70b-instruct'.", + ) + # embedding_api_base: str = Field( + # None, + # description="Base URL of OpenAI API. Example: 'https://api.openai.com/v1'.", + # ) + embedding_api_key: str + # embedding_model: str = Field( + # "text-embedding-ada-002", + # description="OpenAI embedding Model to use. Example: 'text-embedding-3-large'.", + # ) class GeminiSettings(BaseModel): api_key: str @@ -586,6 +601,7 @@ class Settings(BaseModel): huggingface: HuggingFaceSettings sagemaker: SagemakerSettings openai: OpenAISettings + fireworks: FireWorksSettings gemini: GeminiSettings ollama: OllamaSettings azopenai: AzureOpenAISettings diff --git a/pyproject.toml b/pyproject.toml index da9fab80a..8aa88df52 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,9 @@ llama-index-vector-stores-postgres = {version ="^0.1.11", optional = true} llama-index-vector-stores-clickhouse = {version ="^0.1.3", optional = true} llama-index-storage-docstore-postgres = {version ="^0.1.3", optional = true} llama-index-storage-index-store-postgres = {version ="^0.1.4", optional = true} +# firworks +llama-index-llms-fireworks = {version = "^0.1.5", optional = true} +llama-index-embeddings-fireworks = {version = "^0.1.2", optional = true} # Postgres psycopg2-binary = {version ="^2.9.9", optional = true} asyncpg = {version="^0.29.0", optional = true} @@ -90,6 +93,8 @@ vector-stores-postgres = ["llama-index-vector-stores-postgres"] vector-stores-milvus = ["llama-index-vector-stores-milvus"] storage-nodestore-postgres = ["llama-index-storage-docstore-postgres","llama-index-storage-index-store-postgres","psycopg2-binary","asyncpg"] rerank-sentence-transformers = ["torch", "sentence-transformers"] +llms-fireworks = ["llama-index-llms-fireworks"] +embeddings-fireworks = ["llama-index-embeddings-fireworks"] [tool.poetry.group.dev.dependencies] black = "^22" diff --git a/settings-fireworks.yaml b/settings-fireworks.yaml new file mode 100644 index 000000000..45046b03e --- /dev/null +++ b/settings-fireworks.yaml @@ -0,0 +1,13 @@ +server: + env_name: ${APP_ENV:fireworks} + +llm: + mode: fireworks + +embedding: + mode: fireworks + +fireworks: + api_key: ${FIREWORKS_API_KEY:} + model: "accounts/fireworks/models/llama-v3p1-70b-instruct" + #poetry install --extras "ui llms-fireworks embeddings-fireworks vector-stores-qdrant" diff --git a/settings.yaml b/settings.yaml index f030604a3..b4278a8ad 100644 --- a/settings.yaml +++ b/settings.yaml @@ -52,7 +52,7 @@ llm: context_window: 3900 # Select your tokenizer. Llama-index tokenizer is the default. # tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct - temperature: 0.1 # The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual. (Default: 0.1) + temperature: 0.1 # The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual. (Default: 0.1) rag: similarity_top_k: 2 @@ -68,19 +68,19 @@ summarize: use_async: true clickhouse: - host: localhost - port: 8443 - username: admin - password: clickhouse - database: embeddings + host: localhost + port: 8443 + username: admin + password: clickhouse + database: embeddings llamacpp: llm_hf_repo_id: lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF llm_hf_model_file: Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf - tfs_z: 1.0 # Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting - top_k: 40 # Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40) - top_p: 1.0 # Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9) - repeat_penalty: 1.1 # Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1) + tfs_z: 1.0 # Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting + top_k: 40 # Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40) + top_p: 1.0 # Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9) + repeat_penalty: 1.1 # Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1) embedding: # Should be matching the value above in most cases @@ -126,11 +126,16 @@ openai: model: gpt-3.5-turbo embedding_api_key: ${OPENAI_API_KEY:} +fireworks: + api_key: ${FIREWORKS_API_KEY:} + model: "accounts/fireworks/models/llama-v3p1-70b-instruct" + embedding_api_key: ${FIREWORKS_API_KEY:} + ollama: llm_model: llama3.1 embedding_model: nomic-embed-text api_base: http://localhost:11434 - embedding_api_base: http://localhost:11434 # change if your embedding model runs on another ollama + embedding_api_base: http://localhost:11434 # change if your embedding model runs on another ollama keep_alive: 5m request_timeout: 120.0 autopull_models: true From a38675b84451f6deb757088e481550a749919ff1 Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Fri, 20 Sep 2024 14:15:34 +0530 Subject: [PATCH 02/19] FEAT: Added Fireworks Integration --- private_gpt/settings/settings.py | 1 + settings.yaml | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py index ca15bc526..eeaafec5b 100644 --- a/private_gpt/settings/settings.py +++ b/private_gpt/settings/settings.py @@ -115,6 +115,7 @@ class LLMSettings(BaseModel): "mock", "ollama", "gemini", + "fireworks" ] max_new_tokens: int = Field( 256, diff --git a/settings.yaml b/settings.yaml index b4278a8ad..41f1309b4 100644 --- a/settings.yaml +++ b/settings.yaml @@ -3,7 +3,7 @@ # Syntax in `private_pgt/settings/settings.py` server: env_name: ${APP_ENV:prod} - port: ${PORT:8001} + port: ${PORT:8002} cors: enabled: true allow_origins: ["*"] From 2d5865e7738d90a0673569f16f79dc20d1ef5320 Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Fri, 20 Sep 2024 14:49:02 +0530 Subject: [PATCH 03/19] FEAT: Added fixed UI mode name --- poetry.lock | 4302 +++++++++-------- .../embedding/embedding_component.py | 1 - private_gpt/settings/settings.py | 4 +- private_gpt/ui/ui.py | 1 + pyproject.toml | 2 +- settings-fireworks.yaml | 2 +- 6 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b/private_gpt/components/embedding/embedding_component.py @@ -80,7 +80,6 @@ def __init__(self, settings: Settings) -> None: self.embedding_model = FireworksEmbedding( api_key=api_key, ) - case "ollama": try: from llama_index.embeddings.ollama import ( # type: ignore diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py index eeaafec5b..9aba7af5b 100644 --- a/private_gpt/settings/settings.py +++ b/private_gpt/settings/settings.py @@ -115,7 +115,7 @@ class LLMSettings(BaseModel): "mock", "ollama", "gemini", - "fireworks" + "fireworks", ] max_new_tokens: int = Field( 256, @@ -198,7 +198,7 @@ class HuggingFaceSettings(BaseModel): class EmbeddingSettings(BaseModel): mode: Literal[ - "huggingface", "openai", "azopenai", "sagemaker", "ollama", "mock", "gemini" + "huggingface", "openai", "azopenai", "sagemaker", "ollama", "mock", "gemini","fireworks" ] ingest_mode: Literal["simple", "batch", "parallel", "pipeline"] = Field( "simple", diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py index 2c1dcd3e2..3b52f85af 100644 --- a/private_gpt/ui/ui.py +++ b/private_gpt/ui/ui.py @@ -518,6 +518,7 @@ def get_model_label() -> str | None: model_mapping = { "llamacpp": config_settings.llamacpp.llm_hf_model_file, "openai": config_settings.openai.model, + "fireworks": config_settings.fireworks.model, "openailike": config_settings.openai.model, "azopenai": config_settings.azopenai.llm_model, "sagemaker": config_settings.sagemaker.llm_endpoint_name, diff --git a/pyproject.toml b/pyproject.toml index 8aa88df52..9833004c5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,9 +37,9 @@ llama-index-vector-stores-postgres = {version ="^0.1.11", optional = true} llama-index-vector-stores-clickhouse = {version ="^0.1.3", optional = true} llama-index-storage-docstore-postgres = {version ="^0.1.3", optional = true} llama-index-storage-index-store-postgres = {version ="^0.1.4", optional = true} -# firworks llama-index-llms-fireworks = {version = "^0.1.5", optional = true} llama-index-embeddings-fireworks = {version = "^0.1.2", optional = true} + # Postgres psycopg2-binary = {version ="^2.9.9", optional = true} asyncpg = {version="^0.29.0", optional = true} diff --git a/settings-fireworks.yaml b/settings-fireworks.yaml index 45046b03e..e789f2cf3 100644 --- a/settings-fireworks.yaml +++ b/settings-fireworks.yaml @@ -10,4 +10,4 @@ embedding: fireworks: api_key: ${FIREWORKS_API_KEY:} model: "accounts/fireworks/models/llama-v3p1-70b-instruct" - #poetry install --extras "ui llms-fireworks embeddings-fireworks vector-stores-qdrant" + #poetry install --extras "ui llms-fireworks embeddings-fireworks vector-stores-qdrant embeddings-openai" From c5c1f9b3e2bf4a80da7d58f8800fd81ae1fcf1af Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Fri, 20 Sep 2024 14:50:19 +0530 Subject: [PATCH 04/19] fixed at ui height overlow --- private_gpt/ui/ui.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py index 3b52f85af..2ae2a2291 100644 --- a/private_gpt/ui/ui.py +++ b/private_gpt/ui/ui.py @@ -377,7 +377,7 @@ def _build_ui_blocks(self) -> gr.Blocks: ".contain { display: flex !important; flex-direction: column !important; }" "#component-0, #component-3, #component-10, #component-8 { height: 100% !important; }" "#chatbot { flex-grow: 1 !important; overflow: auto !important;}" - "#col { height: calc(100vh - 112px - 16px) !important; }" + "#col { min-height: calc(100vh - 112px - 16px) !important; }" "hr { margin-top: 1em; margin-bottom: 1em; border: 0; border-top: 1px solid #FFF; }" ".avatar-image { background-color: antiquewhite; border-radius: 2px; }" ".footer { text-align: center; margin-top: 20px; font-size: 14px; display: flex; align-items: center; justify-content: center; }" From 241637f0c43d84ee8af80767b62712a3345c5492 Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Fri, 20 Sep 2024 15:04:01 +0530 Subject: [PATCH 05/19] FEAT: Added Fireworks integration --- settings.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/settings.yaml b/settings.yaml index 41f1309b4..b4278a8ad 100644 --- a/settings.yaml +++ b/settings.yaml @@ -3,7 +3,7 @@ # Syntax in `private_pgt/settings/settings.py` server: env_name: ${APP_ENV:prod} - port: ${PORT:8002} + port: ${PORT:8001} cors: enabled: true allow_origins: ["*"] From 4d2254648cd6c3c8d7e64f8c100da56b6f433c09 Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Sat, 21 Sep 2024 19:26:10 +0530 Subject: [PATCH 06/19] Added dockerfile and docker-compose for fireworks --- Dockerfile.fireworks | 54 ++++++++++++++++++++++++++++++++++++++++++++ docker-compose.yaml | 25 ++++++++++++++++---- 2 files changed, 75 insertions(+), 4 deletions(-) create mode 100644 Dockerfile.fireworks diff --git a/Dockerfile.fireworks b/Dockerfile.fireworks new file mode 100644 index 000000000..9be6e0a44 --- /dev/null +++ b/Dockerfile.fireworks @@ -0,0 +1,54 @@ +FROM python:3.11.6-slim-bookworm as base + +# Install poetry +RUN pip install pipx +RUN python3 -m pipx ensurepath +RUN pipx install poetry==1.8.3 +ENV PATH="/root/.local/bin:$PATH" +ENV PATH=".venv/bin/:$PATH" + +RUN apt update && apt install -y \ + build-essential + +# https://python-poetry.org/docs/configuration/#virtualenvsin-project +ENV POETRY_VIRTUALENVS_IN_PROJECT=true + +FROM base as dependencies +WORKDIR /home/worker/app +COPY pyproject.toml poetry.lock ./ + +ARG POETRY_EXTRAS="ui llms-fireworks embeddings-fireworks vector-stores-qdrant embeddings-openai" +RUN poetry install --no-root --extras "${POETRY_EXTRAS}" + +FROM base as app +ENV PYTHONUNBUFFERED=1 +ENV PORT=8080 +ENV APP_ENV=prod +ENV PYTHONPATH="$PYTHONPATH:/home/worker/app/private_gpt/" +EXPOSE 8080 + +# Prepare a non-root user +# More info about how to configure UIDs and GIDs in Docker: +# https://github.com/systemd/systemd/blob/main/docs/UIDS-GIDS.md + +# Define the User ID (UID) for the non-root user +# UID 100 is chosen to avoid conflicts with existing system users +ARG UID=100 + +# Define the Group ID (GID) for the non-root user +# GID 65534 is often used for the 'nogroup' or 'nobody' group +ARG GID=65534 + +RUN adduser --system --gid ${GID} --uid ${UID} --home /home/worker worker +WORKDIR /home/worker/app + +RUN chown worker /home/worker/app +RUN mkdir local_data && chown worker local_data +RUN mkdir models && chown worker models +COPY --chown=worker --from=dependencies /home/worker/app/.venv/ .venv +COPY --chown=worker private_gpt/ private_gpt +COPY --chown=worker *.yaml . +COPY --chown=worker scripts/ scripts + +USER worker +ENTRYPOINT python -m private_gpt diff --git a/docker-compose.yaml b/docker-compose.yaml index c2ef0f6d7..7cec076bf 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -1,5 +1,4 @@ services: - #----------------------------------- #---- Private-GPT services --------- #----------------------------------- @@ -7,7 +6,7 @@ services: # Private-GPT service for the Ollama CPU and GPU modes # This service builds from an external Dockerfile and runs the Ollama mode. private-gpt-ollama: - image: ${PGPT_IMAGE:-zylonai/private-gpt}:${PGPT_TAG:-0.6.2}-ollama # x-release-please-version + image: ${PGPT_IMAGE:-zylonai/private-gpt}:${PGPT_TAG:-0.6.2}-ollama # x-release-please-version build: context: . dockerfile: Dockerfile.ollama @@ -80,7 +79,7 @@ services: ollama-cpu: image: ollama/ollama:latest volumes: - - ./models:/root/.ollama + - ./local_data:/root/.ollama profiles: - "" - ollama-cpu @@ -98,4 +97,22 @@ services: count: 1 capabilities: [gpu] profiles: - - ollama-cuda \ No newline at end of file + - ollama-cuda + + # fireworks service + private-gpt-fireworks: + build: + context: . + dockerfile: Dockerfile.fireworks + volumes: + - ./local_data/:/home/worker/app/local_data + ports: + - "3001:8080" + environment: + PORT: 8080 + PGPT_PROFILES: fireworks + FIREWORKS_API_KEY: ${FIREWORKS_API_KEY} + env_file: + - .env + profiles: + - fireworks From 9c3590e5555c693ed3db970adcdacc8b5e698485 Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Tue, 24 Sep 2024 23:27:40 +0530 Subject: [PATCH 07/19] Added embedded model option for fireworks \n Added documentation for fireworks --- fern/docs/pages/installation/installation.mdx | 163 ++++++++++++------ poetry.lock | 49 ++++-- .../embedding/embedding_component.py | 5 +- private_gpt/settings/settings.py | 16 +- 4 files changed, 154 insertions(+), 79 deletions(-) diff --git a/fern/docs/pages/installation/installation.mdx b/fern/docs/pages/installation/installation.mdx index e7f80c87d..59fcd81ba 100644 --- a/fern/docs/pages/installation/installation.mdx +++ b/fern/docs/pages/installation/installation.mdx @@ -3,45 +3,63 @@ It is important that you review the [Main Concepts](../concepts) section to unde ## Base requirements to run PrivateGPT ### 1. Clone the PrivateGPT Repository + Clone the repository and navigate to it: + ```bash git clone https://github.com/zylon-ai/private-gpt cd private-gpt ``` ### 2. Install Python 3.11 + If you do not have Python 3.11 installed, install it using a Python version manager like `pyenv`. Earlier Python versions are not supported. + #### macOS/Linux + Install and set Python 3.11 using [pyenv](https://github.com/pyenv/pyenv): + ```bash pyenv install 3.11 pyenv local 3.11 ``` + #### Windows + Install and set Python 3.11 using [pyenv-win](https://github.com/pyenv-win/pyenv-win): + ```bash pyenv install 3.11 pyenv local 3.11 ``` ### 3. Install `Poetry` + Install [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) for dependency management: Follow the instructions on the official Poetry website to install it. -A bug exists in Poetry versions 1.7.0 and earlier. We strongly recommend upgrading to a tested version. -To upgrade Poetry to latest tested version, run `poetry self update 1.8.3` after installing it. + A bug exists in Poetry versions 1.7.0 and earlier. We strongly recommend + upgrading to a tested version. To upgrade Poetry to latest tested version, run + `poetry self update 1.8.3` after installing it. ### 4. Optional: Install `make` + To run various scripts, you need to install `make`. Follow the instructions for your operating system: + #### macOS + (Using Homebrew): + ```bash brew install make ``` + #### Windows + (Using Chocolatey): + ```bash choco install make ``` @@ -53,6 +71,7 @@ PrivateGPT allows customization of the setup, from fully local to cloud-based, b ```bash poetry install --extras " ..." ``` + Where `` can be any of the following options described below. ### Available Modules @@ -61,46 +80,49 @@ You need to choose one option per category (LLM, Embeddings, Vector Stores, UI). #### LLM -| **Option** | **Description** | **Extra** | -|--------------|------------------------------------------------------------------------|---------------------| -| **ollama** | Adds support for Ollama LLM, requires Ollama running locally | llms-ollama | -| llama-cpp | Adds support for local LLM using LlamaCPP | llms-llama-cpp | -| sagemaker | Adds support for Amazon Sagemaker LLM, requires Sagemaker endpoints | llms-sagemaker | -| openai | Adds support for OpenAI LLM, requires OpenAI API key | llms-openai | -| openailike | Adds support for 3rd party LLM providers compatible with OpenAI's API | llms-openai-like | -| azopenai | Adds support for Azure OpenAI LLM, requires Azure endpoints | llms-azopenai | -| gemini | Adds support for Gemini LLM, requires Gemini API key | llms-gemini | +| **Option** | **Description** | **Extra** | +| ---------- | --------------------------------------------------------------------- | ---------------- | +| **ollama** | Adds support for Ollama LLM, requires Ollama running locally | llms-ollama | +| llama-cpp | Adds support for local LLM using LlamaCPP | llms-llama-cpp | +| sagemaker | Adds support for Amazon Sagemaker LLM, requires Sagemaker endpoints | llms-sagemaker | +| openai | Adds support for OpenAI LLM, requires OpenAI API key | llms-openai | +| openailike | Adds support for 3rd party LLM providers compatible with OpenAI's API | llms-openai-like | +| azopenai | Adds support for Azure OpenAI LLM, requires Azure endpoints | llms-azopenai | +| gemini | Adds support for Gemini LLM, requires Gemini API key | llms-gemini | #### Embeddings -| **Option** | **Description** | **Extra** | -|------------------|--------------------------------------------------------------------------------|-------------------------| -| **ollama** | Adds support for Ollama Embeddings, requires Ollama running locally | embeddings-ollama | -| huggingface | Adds support for local Embeddings using HuggingFace | embeddings-huggingface | -| openai | Adds support for OpenAI Embeddings, requires OpenAI API key | embeddings-openai | -| sagemaker | Adds support for Amazon Sagemaker Embeddings, requires Sagemaker endpoints | embeddings-sagemaker | -| azopenai | Adds support for Azure OpenAI Embeddings, requires Azure endpoints | embeddings-azopenai | -| gemini | Adds support for Gemini Embeddings, requires Gemini API key | embeddings-gemini | +| **Option** | **Description** | **Extra** | +| ----------- | -------------------------------------------------------------------------- | ---------------------- | +| **ollama** | Adds support for Ollama Embeddings, requires Ollama running locally | embeddings-ollama | +| huggingface | Adds support for local Embeddings using HuggingFace | embeddings-huggingface | +| openai | Adds support for OpenAI Embeddings, requires OpenAI API key | embeddings-openai | +| sagemaker | Adds support for Amazon Sagemaker Embeddings, requires Sagemaker endpoints | embeddings-sagemaker | +| azopenai | Adds support for Azure OpenAI Embeddings, requires Azure endpoints | embeddings-azopenai | +| gemini | Adds support for Gemini Embeddings, requires Gemini API key | embeddings-gemini | #### Vector Stores -| **Option** | **Description** | **Extra** | -|------------------|-----------------------------------------|-------------------------| -| **qdrant** | Adds support for Qdrant vector store | vector-stores-qdrant | -| milvus | Adds support for Milvus vector store | vector-stores-milvus | -| chroma | Adds support for Chroma DB vector store | vector-stores-chroma | -| postgres | Adds support for Postgres vector store | vector-stores-postgres | -| clickhouse | Adds support for Clickhouse vector store| vector-stores-clickhouse| +| **Option** | **Description** | **Extra** | +| ---------- | ---------------------------------------- | ------------------------ | +| **qdrant** | Adds support for Qdrant vector store | vector-stores-qdrant | +| milvus | Adds support for Milvus vector store | vector-stores-milvus | +| chroma | Adds support for Chroma DB vector store | vector-stores-chroma | +| postgres | Adds support for Postgres vector store | vector-stores-postgres | +| clickhouse | Adds support for Clickhouse vector store | vector-stores-clickhouse | #### UI -| **Option** | **Description** | **Extra** | -|--------------|------------------------------------------|-----------| -| Gradio | Adds support for UI using Gradio | ui | +| **Option** | **Description** | **Extra** | +| ---------- | -------------------------------- | --------- | +| Gradio | Adds support for UI using Gradio | ui | - -A working **Gradio UI client** is provided to test the API, together with a set of useful tools such as bulk -model download script, ingestion script, documents folder watch, etc. Please refer to the [UI alternatives](/manual/user-interface/alternatives) page for more UI alternatives. + + A working **Gradio UI client** is provided to test the API, together with a + set of useful tools such as bulk model download script, ingestion script, + documents folder watch, etc. Please refer to the [UI + alternatives](/manual/user-interface/alternatives) page for more UI + alternatives. ## Recommended Setups @@ -109,7 +131,7 @@ There are just some examples of recommended setups. You can mix and match the di You'll find more information in the Manual section of the documentation. > **Important for Windows**: In the examples below or how to run PrivateGPT with `make run`, `PGPT_PROFILES` env var is being set inline following Unix command line syntax (works on MacOS and Linux). -If you are using Windows, you'll need to set the env var in a different way, for example: +> If you are using Windows, you'll need to set the env var in a different way, for example: ```powershell # Powershell @@ -136,6 +158,7 @@ Go to [ollama.ai](https://ollama.ai/) and follow the instructions to install Oll After the installation, make sure the Ollama desktop app is closed. Now, start Ollama service (it will start a local inference server, serving both the LLM and the Embeddings): + ```bash ollama serve ``` @@ -152,6 +175,7 @@ ollama pull nomic-embed-text ``` Once done, on a different terminal, you can install PrivateGPT with the following command: + ```bash poetry install --extras "ui llms-ollama embeddings-ollama vector-stores-qdrant" ``` @@ -175,6 +199,7 @@ You need to have access to sagemaker inference endpoints for the LLM and / or th Edit the `settings-sagemaker.yaml` file to include the correct Sagemaker endpoints. Then, install PrivateGPT with the following command: + ```bash poetry install --extras "ui llms-sagemaker embeddings-sagemaker vector-stores-qdrant" ``` @@ -198,6 +223,7 @@ You need an OPENAI API key to run this setup. Edit the `settings-openai.yaml` file to include the correct API KEY. Never commit it! It's a secret! As an alternative to editing `settings-openai.yaml`, you can just set the env var OPENAI_API_KEY. Then, install PrivateGPT with the following command: + ```bash poetry install --extras "ui llms-openai embeddings-openai vector-stores-qdrant" ``` @@ -221,6 +247,7 @@ You need to have access to Azure OpenAI inference endpoints for the LLM and / or Edit the `settings-azopenai.yaml` file to include the correct Azure OpenAI endpoints. Then, install PrivateGPT with the following command: + ```bash poetry install --extras "ui llms-azopenai embeddings-azopenai vector-stores-qdrant" ``` @@ -235,6 +262,30 @@ PrivateGPT will use the already existing `settings-azopenai.yaml` settings file, The UI will be available at http://localhost:8001 +### Non-Private, FIREWORKS-powered test setup + +If you want to test PrivateGPT with FIREWORKS's LLM and Embeddings -taking into account your data is going to FIREWORKS!- you can run the following command: + +You need an FIREWORKS API key to run this setup. + +Edit the `settings-fireworks.yaml` file to include the correct API KEY. Never commit it! It's a secret! As an alternative to editing `settings-fireworks.yaml`, you can just set the env var FIREWORKS_API_KEY. + +Then, install PrivateGPT with the following command: + +```bash +poetry install --extras "ui llms-fireworks embeddings-fireworks vector-stores-qdrant embeddings-openai" +``` + +Once installed, you can run PrivateGPT. + +```bash +PGPT_PROFILES=fireworks make run +``` + +PrivateGPT will use the already existing `settings-fireworks.yaml` settings file, which is already configured to use FIREWORKS LLM and Embeddings endpoints, and Qdrant. + +The UI will be available at http://localhost:8001 + ### Local, Llama-CPP powered setup If you want to run PrivateGPT fully locally without relying on Ollama, you can run the following command: @@ -244,6 +295,7 @@ poetry install --extras "ui llms-llama-cpp embeddings-huggingface vector-stores- ``` In order for local LLM and embeddings to work, you need to download the models to the `models` folder. You can do so by running the `setup` script: + ```bash poetry run python scripts/setup ``` @@ -277,6 +329,7 @@ To do that, you need to install `llama.cpp` python's binding `llama-cpp-python` that activate `METAL`: you have to pass `-DLLAMA_METAL=on` to the CMake command tha `pip` runs for you (see below). In other words, one should simply run: + ```bash CMAKE_ARGS="-DLLAMA_METAL=on" pip install --force-reinstall --no-cache-dir llama-cpp-python ``` @@ -285,9 +338,10 @@ The above command will force the re-installation of `llama-cpp-python` with `MET `llama.cpp` locally with your `METAL` libraries (shipped by default with your macOS). More information is available in the documentation of the libraries themselves: -* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python#installation-with-hardware-acceleration) -* [llama-cpp-python's documentation](https://llama-cpp-python.readthedocs.io/en/latest/#installation-with-hardware-acceleration) -* [llama.cpp](https://github.com/ggerganov/llama.cpp#build) + +- [llama-cpp-python](https://github.com/abetlen/llama-cpp-python#installation-with-hardware-acceleration) +- [llama-cpp-python's documentation](https://llama-cpp-python.readthedocs.io/en/latest/#installation-with-hardware-acceleration) +- [llama.cpp](https://github.com/ggerganov/llama.cpp#build) ##### Llama-CPP Windows NVIDIA GPU support @@ -297,11 +351,11 @@ dependencies. Some tips to get it working with an NVIDIA card and CUDA (Tested on Windows 10 with CUDA 11.5 RTX 3070): -* Install latest VS2022 (and build tools) https://visualstudio.microsoft.com/vs/community/ -* Install CUDA toolkit https://developer.nvidia.com/cuda-downloads -* Verify your installation is correct by running `nvcc --version` and `nvidia-smi`, ensure your CUDA version is up to +- Install latest VS2022 (and build tools) https://visualstudio.microsoft.com/vs/community/ +- Install CUDA toolkit https://developer.nvidia.com/cuda-downloads +- Verify your installation is correct by running `nvcc --version` and `nvidia-smi`, ensure your CUDA version is up to date and your GPU is detected. -* [Optional] Install CMake to troubleshoot building issues by compiling llama.cpp directly https://cmake.org/download/ +- [Optional] Install CMake to troubleshoot building issues by compiling llama.cpp directly https://cmake.org/download/ If you have all required dependencies properly configured running the following powershell command should succeed. @@ -332,9 +386,9 @@ dependencies. Some tips: -* Make sure you have an up-to-date C++ compiler -* Install CUDA toolkit https://developer.nvidia.com/cuda-downloads -* Verify your installation is correct by running `nvcc --version` and `nvidia-smi`, ensure your CUDA version is up to +- Make sure you have an up-to-date C++ compiler +- Install CUDA toolkit https://developer.nvidia.com/cuda-downloads +- Verify your installation is correct by running `nvcc --version` and `nvidia-smi`, ensure your CUDA version is up to date and your GPU is detected. After that running the following command in the repository will install llama.cpp with GPU support: @@ -356,13 +410,17 @@ AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | Linux GPU support is done through ROCm. Some tips: -* Install ROCm from [quick-start install guide](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/tutorial/quick-start.html) -* [Install PyTorch for ROCm](https://rocm.docs.amd.com/projects/radeon/en/latest/docs/install/install-pytorch.html) + +- Install ROCm from [quick-start install guide](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/tutorial/quick-start.html) +- [Install PyTorch for ROCm](https://rocm.docs.amd.com/projects/radeon/en/latest/docs/install/install-pytorch.html) + ```bash wget https://repo.radeon.com/rocm/manylinux/rocm-rel-6.0/torch-2.1.1%2Brocm6.0-cp311-cp311-linux_x86_64.whl poetry run pip install --force-reinstall --no-cache-dir torch-2.1.1+rocm6.0-cp311-cp311-linux_x86_64.whl ``` -* Install bitsandbytes for ROCm + +- Install bitsandbytes for ROCm + ```bash PYTORCH_ROCM_ARCH=gfx900,gfx906,gfx908,gfx90a,gfx1030,gfx1100,gfx1101,gfx940,gfx941,gfx942 BITSANDBYTES_VERSION=62353b0200b8557026c176e74ac48b84b953a854 @@ -374,6 +432,7 @@ pip install . --extra-index-url https://download.pytorch.org/whl/nightly ``` After that running the following command in the repository will install llama.cpp with GPU support: + ```bash LLAMA_CPP_PYTHON_VERSION=0.2.56 DAMDGPU_TARGETS=gfx900;gfx906;gfx908;gfx90a;gfx1030;gfx1100;gfx1101;gfx940;gfx941;gfx942 @@ -391,15 +450,15 @@ AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = Execution of LLMs locally still has a lot of sharp edges, specially when running on non Linux platforms. You might encounter several issues: -* Performance: RAM or VRAM usage is very high, your computer might experience slowdowns or even crashes. -* GPU Virtualization on Windows and OSX: Simply not possible with docker desktop, you have to run the server directly on +- Performance: RAM or VRAM usage is very high, your computer might experience slowdowns or even crashes. +- GPU Virtualization on Windows and OSX: Simply not possible with docker desktop, you have to run the server directly on the host. -* Building errors: Some of PrivateGPT dependencies need to build native code, and they might fail on some platforms. +- Building errors: Some of PrivateGPT dependencies need to build native code, and they might fail on some platforms. Most likely you are missing some dev tools in your machine (updated C++ compiler, CUDA is not on PATH, etc.). If you encounter any of these issues, please open an issue and we'll try to help. One of the first reflex to adopt is: get more information. -If, during your installation, something does not go as planned, retry in *verbose* mode, and see what goes wrong. +If, during your installation, something does not go as planned, retry in _verbose_ mode, and see what goes wrong. For example, when installing packages with `pip install`, you can add the option `-vvv` to show the details of the installation. @@ -414,8 +473,8 @@ To install a C++ compiler on Windows 10/11, follow these steps: 1. Install Visual Studio 2022. 2. Make sure the following components are selected: - * Universal Windows Platform development - * C++ CMake tools for Windows + - Universal Windows Platform development + - C++ CMake tools for Windows 3. Download the MinGW installer from the [MinGW website](https://sourceforge.net/projects/mingw/). 4. Run the installer and select the `gcc` component. diff --git a/poetry.lock b/poetry.lock index 49da0cf2c..978ec4ffc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1303,6 +1303,20 @@ django = ["dj-database-url", "dj-email-url", "django-cache-url"] lint = ["flake8 (==4.0.1)", "flake8-bugbear (==21.9.2)", "mypy (==0.910)", "pre-commit (>=2.4,<3.0)"] tests = ["dj-database-url", "dj-email-url", "django-cache-url", "pytest"] +[[package]] +name = "eval-type-backport" +version = "0.2.0" +description = "Like `typing._eval_type`, but lets older Python versions use newer typing features." +optional = true +python-versions = ">=3.8" +files = [ + {file = "eval_type_backport-0.2.0-py3-none-any.whl", hash = "sha256:ac2f73d30d40c5a30a80b8739a789d6bb5e49fdffa66d7912667e2015d9c9933"}, + {file = "eval_type_backport-0.2.0.tar.gz", hash = "sha256:68796cfbc7371ebf923f03bdf7bef415f3ec098aeced24e054b253a0e78f7b37"}, +] + +[package.extras] +tests = ["pytest"] + [[package]] name = "fastapi" version = "0.111.1" @@ -3247,32 +3261,33 @@ description = "An experimental Python binding of the Rust MiniJinja template eng optional = true python-versions = ">=3.8" files = [ - 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{file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, - {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, + {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"}, + {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"}, ] [package.dependencies] @@ -7081,4 +7096,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "3fa6ef447847895b1a16b8b0422dd9e4fda1aaaadef3af71971eb412da89bf67" +content-hash = "df2024950dd0e9c55ae48020af1a71510cf878d696d2aa076e65cd7ee30b08fe" diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py index a51cc838d..173501c31 100644 --- a/private_gpt/components/embedding/embedding_component.py +++ b/private_gpt/components/embedding/embedding_component.py @@ -74,11 +74,12 @@ def __init__(self, settings: Settings) -> None: raise ImportError( "FireworksEmbedding dependencies not found, install with `poetry install --extras embeddings-fireworks`" ) from e - + api_key = settings.fireworks.embedding_api_key or settings.fireworks.api_key - + model = settings.openai.embedding_model self.embedding_model = FireworksEmbedding( api_key=api_key, + model=model, ) case "ollama": try: diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py index a3aa137f3..f94162f4f 100644 --- a/private_gpt/settings/settings.py +++ b/private_gpt/settings/settings.py @@ -275,15 +275,15 @@ class FireWorksSettings(BaseModel): "accounts/fireworks/models/llama-v3p1-70b-instruct", description="FireWorks Model to use. Example: 'accounts/fireworks/models/llama-v3p1-70b-instruct'.", ) - # embedding_api_base: str = Field( - # None, - # description="Base URL of OpenAI API. Example: 'https://api.openai.com/v1'.", - # ) + embedding_api_base: str = Field( + None, + description="Base URL of FIREWORKS API. Example: 'https://api.fireworks.ai/inference/v1'.", + ) embedding_api_key: str - # embedding_model: str = Field( - # "text-embedding-ada-002", - # description="OpenAI embedding Model to use. Example: 'text-embedding-3-large'.", - # ) + embedding_model: str = Field( + "nomic-ai/nomic-embed-text-v1.5", + description="FIREWORKS embedding Model to use. Example: 'nomic-ai/nomic-embed-text-v1.5'.", + ) class GeminiSettings(BaseModel): api_key: str From cecec30ca8770bc783d1c3ca374a6223af5e0bbf Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Tue, 24 Sep 2024 23:37:03 +0530 Subject: [PATCH 08/19] fixed test black error --- private_gpt/components/embedding/embedding_component.py | 4 +++- private_gpt/settings/settings.py | 2 ++ 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py index 173501c31..4f0ae93b2 100644 --- a/private_gpt/components/embedding/embedding_component.py +++ b/private_gpt/components/embedding/embedding_component.py @@ -75,7 +75,9 @@ def __init__(self, settings: Settings) -> None: "FireworksEmbedding dependencies not found, install with `poetry install --extras embeddings-fireworks`" ) from e - api_key = settings.fireworks.embedding_api_key or settings.fireworks.api_key + api_key = ( + settings.fireworks.embedding_api_key or settings.fireworks.api_key + ) model = settings.openai.embedding_model self.embedding_model = FireworksEmbedding( api_key=api_key, diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py index f94162f4f..dbb0d2ad5 100644 --- a/private_gpt/settings/settings.py +++ b/private_gpt/settings/settings.py @@ -269,6 +269,7 @@ class OpenAISettings(BaseModel): description="OpenAI embedding Model to use. Example: 'text-embedding-3-large'.", ) + class FireWorksSettings(BaseModel): api_key: str model: str = Field( @@ -285,6 +286,7 @@ class FireWorksSettings(BaseModel): description="FIREWORKS embedding Model to use. Example: 'nomic-ai/nomic-embed-text-v1.5'.", ) + class GeminiSettings(BaseModel): api_key: str model: str = Field( From 80f15a1568fef85a580df8b917a61188d21abff9 Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Tue, 24 Sep 2024 23:42:00 +0530 Subject: [PATCH 09/19] fixed ruff chekc --- tests/fixtures/fast_api_test_client.py | 2 +- tests/fixtures/ingest_helper.py | 2 +- tests/fixtures/mock_injector.py | 2 +- tests/server/ingest/test_local_ingest.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/fixtures/fast_api_test_client.py b/tests/fixtures/fast_api_test_client.py index 77d6037c7..17525412f 100644 --- a/tests/fixtures/fast_api_test_client.py +++ b/tests/fixtures/fast_api_test_client.py @@ -5,7 +5,7 @@ from tests.fixtures.mock_injector import MockInjector -@pytest.fixture() +@pytest.fixture def test_client(request: pytest.FixtureRequest, injector: MockInjector) -> TestClient: if request is not None and hasattr(request, "param"): injector.bind_settings(request.param or {}) diff --git a/tests/fixtures/ingest_helper.py b/tests/fixtures/ingest_helper.py index 25515f4e9..0d49d41a2 100644 --- a/tests/fixtures/ingest_helper.py +++ b/tests/fixtures/ingest_helper.py @@ -19,6 +19,6 @@ def ingest_file(self, path: Path) -> IngestResponse: return ingest_result -@pytest.fixture() +@pytest.fixture def ingest_helper(test_client: TestClient) -> IngestHelper: return IngestHelper(test_client) diff --git a/tests/fixtures/mock_injector.py b/tests/fixtures/mock_injector.py index 5769b33de..6f90fc294 100644 --- a/tests/fixtures/mock_injector.py +++ b/tests/fixtures/mock_injector.py @@ -37,6 +37,6 @@ def get(self, interface: type[T]) -> T: return self.test_injector.get(interface) -@pytest.fixture() +@pytest.fixture def injector() -> MockInjector: return MockInjector() diff --git a/tests/server/ingest/test_local_ingest.py b/tests/server/ingest/test_local_ingest.py index 860000efe..9c6cba6df 100644 --- a/tests/server/ingest/test_local_ingest.py +++ b/tests/server/ingest/test_local_ingest.py @@ -6,7 +6,7 @@ from fastapi.testclient import TestClient -@pytest.fixture() +@pytest.fixture def file_path() -> str: return "test.txt" From b807e50895e9078bd3a699cc63ad4d92b896da7e Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Tue, 24 Sep 2024 23:53:27 +0530 Subject: [PATCH 10/19] fixed mypy private_gpt for llama-index --- poetry.lock | 135 ++++++++++++++++++++++++++++++++++++++++++++++--- pyproject.toml | 1 + 2 files changed, 130 insertions(+), 6 deletions(-) diff --git a/poetry.lock b/poetry.lock index 978ec4ffc..31565b3dc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1209,7 +1209,7 @@ files = [ name = "distro" version = "1.9.0" description = "Distro - an OS platform information API" -optional = true +optional = false python-versions = ">=3.6" files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, @@ -2339,7 +2339,7 @@ i18n = ["Babel (>=2.7)"] name = "jiter" version = "0.5.0" description = "Fast iterable JSON parser." -optional = true +optional = false python-versions = ">=3.8" files = [ {file = "jiter-0.5.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b599f4e89b3def9a94091e6ee52e1d7ad7bc33e238ebb9c4c63f211d74822c3f"}, @@ -2610,6 +2610,43 @@ dev = ["black (>=23.3.0)", "httpx (>=0.24.1)", "mkdocs (>=1.4.3)", "mkdocs-mater server = ["PyYAML (>=5.1)", "fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"] test = ["fastapi (>=0.100.0)", "httpx (>=0.24.1)", "pydantic-settings (>=2.0.1)", "pytest (>=7.4.0)", "scipy (>=1.10)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)"] +[[package]] +name = "llama-index" +version = "0.10.0" +description = "Interface between LLMs and your data" +optional = false +python-versions = ">=3.8.1,<3.12" +files = [ + {file = "llama_index-0.10.0-py3-none-any.whl", hash = "sha256:50ae1ae491f378d28ae6ce8591fbcf408d901549ad333388aa711d1780b943a7"}, + {file = "llama_index-0.10.0.tar.gz", hash = "sha256:625f871b1941bc7d9dde213cd0e1736e2d4f4e8d90ec609c687b6186f47fd73c"}, +] + +[package.dependencies] +llama-index-agent-openai = ">=0.1.0,<0.2.0" +llama-index-core = ">=0.10.0,<0.11.0" +llama-index-embeddings-openai = ">=0.1.0,<0.2.0" +llama-index-legacy = ">=0.9.48,<0.10.0" +llama-index-llms-openai = ">=0.1.0,<0.2.0" +llama-index-multi-modal-llms-openai = ">=0.1.0,<0.2.0" +llama-index-program-openai = ">=0.1.0,<0.2.0" +llama-index-question-gen-openai = ">=0.1.0,<0.2.0" +llama-index-readers-file = ">=0.1.0,<0.2.0" + +[[package]] +name = "llama-index-agent-openai" +version = "0.1.7" +description = "llama-index agent openai integration" +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "llama_index_agent_openai-0.1.7-py3-none-any.whl", hash = "sha256:6764d385699f4f40ee34bcd88309c820e9e71aa9675a4bde26d4f625d79190a8"}, + {file = "llama_index_agent_openai-0.1.7.tar.gz", hash = "sha256:6962f02e94c097c6a823dad494568e62b83f4218eb852ef0dce90bd3ffb10406"}, +] + +[package.dependencies] +llama-index-core = ">=0.10.1,<0.11.0" +llama-index-llms-openai = ">=0.1.5,<0.2.0" + [[package]] name = "llama-index-core" version = "0.10.68.post1" @@ -2740,7 +2777,7 @@ llama-index-core = ">=0.10.1,<0.11.0" name = "llama-index-embeddings-openai" version = "0.1.11" description = "llama-index embeddings openai integration" -optional = true +optional = false python-versions = "<4.0,>=3.8.1" files = [ {file = "llama_index_embeddings_openai-0.1.11-py3-none-any.whl", hash = "sha256:e20806fc4baff6b8f5274decf2c1ca7c5c737648e01865475ffada164e32e173"}, @@ -2750,6 +2787,45 @@ files = [ [package.dependencies] llama-index-core = ">=0.10.1,<0.11.0" +[[package]] +name = "llama-index-legacy" +version = "0.9.48.post3" +description = "Interface between LLMs and your data" +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "llama_index_legacy-0.9.48.post3-py3-none-any.whl", hash = "sha256:04221320d84d96ba9ee3e21e5055bd8527cbd769e8f1c60cf0368ed907e012a2"}, + {file = "llama_index_legacy-0.9.48.post3.tar.gz", hash = "sha256:f6969f1085efb0abebd6367e46f3512020f3f6b9c086f458a519830dd61e8206"}, +] + +[package.dependencies] +aiohttp = ">=3.8.6,<4.0.0" +dataclasses-json = "*" +deprecated = ">=1.2.9.3" +dirtyjson = ">=1.0.8,<2.0.0" +fsspec = ">=2023.5.0" +httpx = "*" +nest-asyncio = ">=1.5.8,<2.0.0" +networkx = ">=3.0" +nltk = ">=3.8.1" +numpy = "*" +openai = ">=1.1.0" +pandas = "*" +requests = ">=2.31.0" +SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]} +tenacity = ">=8.2.0,<9.0.0" +tiktoken = ">=0.3.3" +typing-extensions = ">=4.5.0" +typing-inspect = ">=0.8.0" + +[package.extras] +gradientai = ["gradientai (>=1.4.0)"] +html = ["beautifulsoup4 (>=4.12.2,<5.0.0)"] +langchain = ["langchain (>=0.0.303)"] +local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.33.1,<5.0.0)"] +postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg2-binary (>=2.9.9,<3.0.0)"] +query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"] + [[package]] name = "llama-index-llms-azure-openai" version = "0.1.10" @@ -2832,7 +2908,7 @@ ollama = ">=0.3.0" name = "llama-index-llms-openai" version = "0.1.31" description = "llama-index llms openai integration" -optional = true +optional = false python-versions = "<4.0,>=3.8.1" files = [ {file = "llama_index_llms_openai-0.1.31-py3-none-any.whl", hash = "sha256:800815b1b964b7d8dddd0e02a09fb57ac5f2ec6f80db92cd704dae718846023f"}, @@ -2859,6 +2935,53 @@ llama-index-core = ">=0.10.1,<0.11.0" llama-index-llms-openai = ">=0.1.1,<0.2.0" transformers = ">=4.37.0,<5.0.0" +[[package]] +name = "llama-index-multi-modal-llms-openai" +version = "0.1.9" +description = "llama-index multi-modal-llms openai integration" +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "llama_index_multi_modal_llms_openai-0.1.9-py3-none-any.whl", hash = "sha256:614f40427a4671e72742780be8fda77297dbf2942519bffcb2c9de8696a9edff"}, + {file = "llama_index_multi_modal_llms_openai-0.1.9.tar.gz", hash = "sha256:dbacf44d5c2cca07ca424eacd1337583002d70387a3c1868cf8ae743b1dbec4a"}, +] + +[package.dependencies] +llama-index-core = ">=0.10.1,<0.11.0" +llama-index-llms-openai = ">=0.1.1,<0.2.0" + +[[package]] +name = "llama-index-program-openai" +version = "0.1.7" +description = "llama-index program openai integration" +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "llama_index_program_openai-0.1.7-py3-none-any.whl", hash = "sha256:33489b573c1050a3f583ff68fcbc4bcbd49f29e74f3e5baea08ab0d5f363403c"}, + {file = "llama_index_program_openai-0.1.7.tar.gz", hash = "sha256:bf7eb61a073381714be5a049d93b40044dfe51bd4333bee539d1532b7407621f"}, +] + +[package.dependencies] +llama-index-agent-openai = ">=0.1.1,<0.3.0" +llama-index-core = ">=0.10.57,<0.11.0" +llama-index-llms-openai = ">=0.1.1" + +[[package]] +name = "llama-index-question-gen-openai" +version = "0.1.3" +description = "llama-index question_gen openai integration" +optional = false +python-versions = ">=3.8.1,<4.0" +files = [ + {file = "llama_index_question_gen_openai-0.1.3-py3-none-any.whl", hash = "sha256:1f83b49e8b2e665030d1ec8c54687d6985d9fa8426147b64e46628a9e489b302"}, + {file = "llama_index_question_gen_openai-0.1.3.tar.gz", hash = "sha256:4486198117a45457d2e036ae60b93af58052893cc7d78fa9b6f47dd47b81e2e1"}, +] + +[package.dependencies] +llama-index-core = ">=0.10.1,<0.11.0" +llama-index-llms-openai = ">=0.1.1,<0.2.0" +llama-index-program-openai = ">=0.1.1,<0.2.0" + [[package]] name = "llama-index-readers-file" version = "0.1.33" @@ -3956,7 +4079,7 @@ sympy = "*" name = "openai" version = "1.46.1" description = "The official Python library for the openai API" -optional = true +optional = false python-versions = ">=3.7.1" files = [ {file = "openai-1.46.1-py3-none-any.whl", hash = "sha256:7517f07117cf66012bbc55c49fd6b983eaac0f3d2a09c90cba1140d4455e4290"}, @@ -7096,4 +7219,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "df2024950dd0e9c55ae48020af1a71510cf878d696d2aa076e65cd7ee30b08fe" +content-hash = "02e91dd870c08d8774d5f528db727222fa320fb3e686a5fe0366cb8cfa76fefc" diff --git a/pyproject.toml b/pyproject.toml index 365184523..fe2830b19 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -71,6 +71,7 @@ ollama = {version ="^0.3.0", optional = true} # Optional HF Transformers einops = {version = "^0.8.0", optional = true} retry-async = "^0.1.4" +llama-index = "0.10.0" [tool.poetry.extras] ui = ["gradio", "ffmpy"] From 6a460605de66dd2356b511199d74d7908902519b Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Wed, 25 Sep 2024 00:16:03 +0530 Subject: [PATCH 11/19] fixed mypy ignored mypy-llama-index-embeddings-fireworks --- pyproject.toml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index fe2830b19..71bba444a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -204,6 +204,9 @@ exclude = ["tests"] [tool.mypy-llama-index] ignore_missing_imports = true +[tool.mypy-llama-index-embeddings-fireworks] +ignore_missing_imports = true + [tool.pytest.ini_options] asyncio_mode = "auto" testpaths = ["tests"] From 03e88094ca09a4467c8473455db78e16531682cb Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Wed, 25 Sep 2024 00:19:59 +0530 Subject: [PATCH 12/19] fixed mypy ignored llama-index-embeddings-fireworks --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 71bba444a..9e7ddd34a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -204,7 +204,7 @@ exclude = ["tests"] [tool.mypy-llama-index] ignore_missing_imports = true -[tool.mypy-llama-index-embeddings-fireworks] +[tool.llama-index-embeddings-fireworks] ignore_missing_imports = true [tool.pytest.ini_options] From 0ff7a066cc94e30bce10547008633651919e7c3b Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Wed, 25 Sep 2024 00:27:09 +0530 Subject: [PATCH 13/19] fixed mypy ignored tool.mypy-llama_index.embeddings.fireworks --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 9e7ddd34a..07dc06d78 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -204,7 +204,7 @@ exclude = ["tests"] [tool.mypy-llama-index] ignore_missing_imports = true -[tool.llama-index-embeddings-fireworks] +[tool.mypy-llama_index.embeddings.fireworks] ignore_missing_imports = true [tool.pytest.ini_options] From b2ffe5b32db07c1368d7dce86dab2c0c7a6f0861 Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Wed, 25 Sep 2024 00:37:25 +0530 Subject: [PATCH 14/19] fixed mypy --- pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 07dc06d78..bfa137059 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -71,7 +71,6 @@ ollama = {version ="^0.3.0", optional = true} # Optional HF Transformers einops = {version = "^0.8.0", optional = true} retry-async = "^0.1.4" -llama-index = "0.10.0" [tool.poetry.extras] ui = ["gradio", "ffmpy"] From 16d1f6000f1e519924fa28ff19011cef383de92f Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Wed, 25 Sep 2024 00:40:50 +0530 Subject: [PATCH 15/19] fixed mypy ignored tool.mypy-llama_index.embeddings.fireworks --- poetry.lock | 135 +++------------------------------------------------- 1 file changed, 6 insertions(+), 129 deletions(-) diff --git a/poetry.lock b/poetry.lock index 31565b3dc..978ec4ffc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1209,7 +1209,7 @@ files = [ name = "distro" version = "1.9.0" description = "Distro - an OS platform information API" -optional = false +optional = true python-versions = ">=3.6" files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, @@ -2339,7 +2339,7 @@ i18n = ["Babel (>=2.7)"] name = "jiter" version = "0.5.0" description = "Fast iterable JSON parser." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jiter-0.5.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b599f4e89b3def9a94091e6ee52e1d7ad7bc33e238ebb9c4c63f211d74822c3f"}, @@ -2610,43 +2610,6 @@ dev = ["black (>=23.3.0)", "httpx (>=0.24.1)", "mkdocs (>=1.4.3)", "mkdocs-mater server = ["PyYAML (>=5.1)", "fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"] test = ["fastapi (>=0.100.0)", "httpx (>=0.24.1)", "pydantic-settings (>=2.0.1)", "pytest (>=7.4.0)", "scipy (>=1.10)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)"] 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01:18:28 +0530 Subject: [PATCH 17/19] added # type: ignore for embeddings.fireworks --- private_gpt/components/embedding/embedding_component.py | 4 +++- pyproject.toml | 3 --- 2 files changed, 3 insertions(+), 4 deletions(-) diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py index 4f0ae93b2..945ba1f90 100644 --- a/private_gpt/components/embedding/embedding_component.py +++ b/private_gpt/components/embedding/embedding_component.py @@ -69,7 +69,9 @@ def __init__(self, settings: Settings) -> None: ) case "fireworks": try: - from llama_index.embeddings.fireworks import FireworksEmbedding + from llama_index.embeddings.fireworks import ( # type: ignore + FireworksEmbedding, + ) except ImportError as e: raise ImportError( "FireworksEmbedding dependencies not found, install with `poetry install --extras embeddings-fireworks`" diff --git a/pyproject.toml b/pyproject.toml index bfa137059..365184523 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -203,9 +203,6 @@ exclude = ["tests"] [tool.mypy-llama-index] ignore_missing_imports = true -[tool.mypy-llama_index.embeddings.fireworks] -ignore_missing_imports = true - [tool.pytest.ini_options] asyncio_mode = "auto" testpaths = ["tests"] From 5334dda8dacd6dac34f7924c4ba323827ede1752 Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Wed, 25 Sep 2024 01:21:08 +0530 Subject: [PATCH 18/19] fixed ruff and black --- private_gpt/components/embedding/embedding_component.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py index 945ba1f90..2ef3afed0 100644 --- a/private_gpt/components/embedding/embedding_component.py +++ b/private_gpt/components/embedding/embedding_component.py @@ -69,8 +69,8 @@ def __init__(self, settings: Settings) -> None: ) case "fireworks": try: - from llama_index.embeddings.fireworks import ( # type: ignore - FireworksEmbedding, + from llama_index.embeddings.fireworks import ( # type: ignore + FireworksEmbedding, ) except ImportError as e: raise ImportError( From c846b3f0f430788e579e90ab6d0d7dab682501fb Mon Sep 17 00:00:00 2001 From: Somashekar B R Date: Wed, 25 Sep 2024 22:25:23 +0530 Subject: [PATCH 19/19] revert back to main branch's dependecy version --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 365184523..b9e9b0efd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -208,4 +208,4 @@ asyncio_mode = "auto" testpaths = ["tests"] addopts = [ "--import-mode=importlib", -] +] \ No newline at end of file