Testing updated Dockerfile

Dockerfile

@@ -18,25 +18,17 @@ RUN apt-get update && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
-# Install Rust 
-RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
-
-# Set up the Rust environment
-ENV PATH="/root/.cargo/bin:${PATH}"
-RUN rustup default stable
-
 WORKDIR /app
 
 # Install Python dependencies
 COPY ./requirements.txt .
 RUN pip3 install uv && \
     if [ "$USE_CUDA" = "true" ]; then \
-    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \
+    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir; \
-    uv pip install --system -r requirements.txt --no-cache-dir; \
     else \
-    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \
+    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir; \    
-    uv pip install --system -r requirements.txt --no-cache-dir; \
     fi
+RUN uv pip install --system -r requirements.txt --no-cache-dir
 
 # Copy the application code
 COPY . .

dev-docker.sh

@@ -5,5 +5,5 @@
 # docker volume rm open-webui 
 
 # Runs the containers with Ollama image for Open WebUI and the Pipelines endpoint in place
-docker run -d -p 9099:9099 --add-host=host.docker.internal:host-gateway -v pipelines:/app/pipelines --name pipelines --restart always --env-file .env ghcr.io/open-webui/pipelines:latest
+docker run -d -p 9099:9099 --add-host=host.docker.internal:host-gateway -v pipelines:/app/pipelines --name pipelines --restart always --env-file .env pipelines #ghcr.io/open-webui/pipelines:latest
 docker run -d -p 3000:8080 -v ~/.ollama:/root/.ollama -v open-webui:/app/backend/data --name open-webui --restart always -e OPENAI_API_BASE_URL=http://host.docker.internal:9099 -e OPENAI_API_KEY=0p3n-w3bu! ghcr.io/open-webui/open-webui:ollama

examples/filters/datadog_filter_pipeline.py

@@ -5,7 +5,7 @@ date: 2024-06-06
 version: 1.0
 license: MIT
 description: A filter pipeline that sends traces to DataDog.
-requirements: git+https://github.com/DataDog/dd-trace-py.git@main
+requirements: ddtrace
 environment_variables: DD_LLMOBS_AGENTLESS_ENABLED, DD_LLMOBS_ENABLED, DD_LLMOBS_APP_NAME, DD_API_KEY, DD_SITE 
 """
 
@@ -104,9 +104,6 @@ class Pipeline:
             input_data = get_last_user_message(body["messages"]),
         )
 
-        print("SPAN: ")
-        print(self.llm_span)
-
         return body
 
 
@@ -114,9 +111,7 @@ class Pipeline:
         print(f"outlet:{__name__}")
         if body["chat_id"] not in self.chat_generations:
             return body
-        print("SELF LLM SPAN")
+
-        print(self.llm_span)
-        #self.set_dd()
         self.LLMObs.annotate(
             span = self.llm_span,
             output_data = get_last_assistant_message(body["messages"]),

requirements.txt

@@ -29,7 +29,8 @@ chromadb
 
 # Observability
 langfuse
-git+https://github.com/DataDog/dd-trace-py.git@main
+#git+https://github.com/DataDog/dd-trace-py.git@main
+ddtrace
 
 # ML libraries
 torch