feat: adapt images and dependencies

deploy/Makefile

@@ -12,7 +12,21 @@ build-llmstudio-tracker:
 	-f tracker.Dockerfile \
 	.
 
-build: build-llmstudio-tracker build-llmstudio-proxy
+build-llmstudio-tracker-bigquery:
+	docker build --build-arg LLMSTUDIO_VERSION=$(version) \
+	-t tensoropsai/llmstudio-tracker-bigquery:latest \
+	-t tensoropsai/llmstudio-tracker-bigquery:$(version) \
+	-f tracker_bigquery.Dockerfile \
+	.
+
+build-llmstudio-tracker-postgresql:
+	docker build --build-arg LLMSTUDIO_VERSION=$(version) \
+	-t tensoropsai/llmstudio-tracker-postgresql:latest \
+	-t tensoropsai/llmstudio-tracker-postgresql:$(version) \
+	-f tracker_postgresql.Dockerfile \
+	.
+
+build: build-llmstudio-tracker build-llmstudio-proxy build-llmstudio-tracker-bigquery build-llmstudio-tracker-postgresql
 
 run:
 	docker compose -f docker-compose.yml up

deploy/tracker.Dockerfile

@@ -7,6 +7,5 @@ RUN apt-get clean && apt-get update
 # Install llmstudio
 ARG LLMSTUDIO_VERSION
 RUN pip install 'llmstudio-tracker'==${LLMSTUDIO_VERSION}
-RUN pip install psycopg2-binary
 
 CMD ["llmstudio-tracker", "server"]

deploy/tracker_bigquery.Dockerfile

@@ -0,0 +1,13 @@
+FROM python:3.11-slim
+ENV PYTHONUNBUFFERED=1
+
+# Install tools
+RUN apt-get clean && apt-get update
+
+# Install llmstudio
+ARG LLMSTUDIO_VERSION
+RUN pip install 'llmstudio-tracker'==${LLMSTUDIO_VERSION}
+RUN pip install sqlalchemy-bigquery=="1.12.*"
+RUN pip install google-cloud-bigquery-storage=="2.27.*"
+
+CMD ["llmstudio-tracker", "server"]

deploy/tracker_postgresql.Dockerfile

@@ -0,0 +1,12 @@
+FROM python:3.11-slim
+ENV PYTHONUNBUFFERED=1
+
+# Install tools
+RUN apt-get clean && apt-get update
+
+# Install llmstudio
+ARG LLMSTUDIO_VERSION
+RUN pip install 'llmstudio-tracker'==${LLMSTUDIO_VERSION}
+RUN pip install psycopg2-binary
+
+CMD ["llmstudio-tracker", "server"]

libs/proxy/README.md

@@ -6,41 +6,34 @@ Prompt Engineering at your fingertips
 
 ## 🌟 Features
 
-![LLMstudio UI](https://imgur.com/wrwiIUs.png)
-
 - **LLM Proxy Access**: Seamless access to all the latest LLMs by OpenAI, Anthropic, Google.
 - **Custom and Local LLM Support**: Use custom or local open-source LLMs through Ollama.
-- **Prompt Playground UI**: A user-friendly interface for engineering and fine-tuning your prompts.
 - **Python SDK**: Easily integrate LLMstudio into your existing workflows.
 - **Monitoring and Logging**: Keep track of your usage and performance for all requests.
 - **LangChain Integration**: LLMstudio integrates with your already existing LangChain projects.
-- **Batch Calling**: Send multiple requests at once for improved efficiency.
 - **Smart Routing and Fallback**: Ensure 24/7 availability by routing your requests to trusted LLMs.
-- **Type Casting (soon)**: Convert data types as needed for your specific use case.
 
 ## 🚀 Quickstart
 
 Don't forget to check out [https://docs.llmstudio.ai](docs) page.
 
 ## Installation
 
-Install the latest version of **LLMstudio** using `pip`. We suggest that you create and activate a new environment using `conda`
+Install the latest version of **LLMstudio** using `pip`. We suggest that you create and activate a new virtual environment:
 
 ```bash
-pip install llmstudio
+pip install 'llmstudio[proxy]'
 ```
 
-Install `bun` if you want to use the UI
-
+or the lightweight version:
 ```bash
-curl -fsSL https://bun.sh/install | bash
+pip install 'llmstudio-proxy'
 ```
 
 Create a `.env` file at the same path you'll run **LLMstudio**
 
 ```bash
 OPENAI_API_KEY="sk-api_key"
-ANTHROPIC_API_KEY="sk-api_key"
 ```
 
 Now you should be able to run **LLMstudio Proxy** using the following command.

libs/tracker/README.md

@@ -17,6 +17,15 @@ Install the latest version of **LLMstudio** using `pip`. We suggest that you cre
 pip install 'llmstudio[tracker]'
 ```
 
+## BigQuery:
+If you want to use BigQuery, you need to instal these dependencies:
+- `sqlalchemy-bigquery`
+- `google-cloud-bigquery-storage`
+
+## PostgreSQL
+If you want to use PostgreSQL as your database, install this dependency:
+- `psycopg2-binary`
+
 ## How to run
 
 To configure the tracker host, port, and database URI, create a `.env` file at the same path you'll run **LLMstudio** and set values for:

libs/tracker/pyproject.toml

@@ -6,15 +6,13 @@ authors = ["Claudio Lemos <[email protected]>"]
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = ">=3.9,<3.13"
+python = "^3.9"
 pydantic = "^2.5"
 sqlalchemy = "^2"
 toml = "^0.10"
 requests = "^2.31"
 fastapi = "^0.115.5"
 uvicorn = "^0.27"
-sqlalchemy-bigquery = "^1.12.0"
-google-cloud-bigquery-storage = "^2.27.0"
 
 [tool.poetry.scripts]
 llmstudio-tracker = "llmstudio_tracker.cli:main"