feat(python-client): add example for RA-TLS supported server

.gitignore

@@ -15,6 +15,8 @@ wheels/
 .vscode
 .DS_Store
 
+# Python client 
+*.pem
 
 # sqlite
-*.db
+*.db

examples/ra-tls-client/README.md

@@ -0,0 +1,121 @@
+# Install and run
+
+```uv sync --frozen --all-extras```
+
+```uv pip install -e "../..[rag,social,tee,a2a,ingestion]"```
+
+```uv run python -m backend.ra_tls_main```
+
+```uv run python -m client.client_test```
+
+# Docker commands
+
+Build the example. Note MUST BE EXECUTED FROM flare-ai-kit ROOT
+```docker build --no-cache --progress=plain -t flare-ai-kit-ra-tls-client -f examples/ra-tls-client/Dockerfile .```
+
+Run the container and start the servers
+```docker run --rm -p 80:80 -it --env-file .env flare-ai-kit-ra-tls-client```
+
+Clear containers and images
+```docker builder prune --all```
+
+List containers
+```docker ps ```
+
+Copy self-signed certificate from the docker container
+```docker cp <CONTAINER ID>:/app/certs/server_cert.pem ./server_cert.pem```
+
+
+## Clear all docker images, build, and then run the container
+```zsh
+docker builder prune --all &&
+docker build --no-cache --progress=plain -t flare-ai-kit-ra-tls-client -f examples/ra-tls-client/Dockerfile . > build.log 2>&1 &&
+docker run --rm -p 4433:4433 -it --env-file .env flare-ai-kit-ra-tls-client
+```
+
+# Debug
+
+Check if the port is exposed 
+```netstat -a -n | grep 8080```
+
+Connect with curl using self-signed certificate
+```curl -v --cacert server_cert.pem https://localhost:8080/api/routes/chat```
+
+# Use self-signed certificate
+
+List docker containers to get the CONTAINER ID and then copy the certificate out from from the container
+```
+docker ps
+docker cp <CONTAINER ID>:/app/certs/server_cert.pem ./server_cert.pem
+```
+
+Add the certificate to your browser
+
+
+#
+
+cat Dockerfile pyproject.toml settings.py supervisord.conf | pbcopy
+
+# Generate certifcates
+
+pip install cryptography
+mkdir certs
+python generate_cert.py --ip 34.123.45.67 --output-dir certs
+
+# Create TEE
+```zsh
+export INSTANCE_NAME="flare-ai-sdk-beardofginger"
+export TEE_IMAGE_REFERENCE="ghcr.io/simonjonsson87/flare-ai-kit:tee-dev"
+export GEMINI_API_KEY="AIzaSyCka9NwqsnJT4w6dNUF-rYznO5U4p3WgP0"
+export GEMINI_MODEL="gemini-2.0-flash"
+export WEB3_PROVIDER_URL="https://flare-api.flare.network/ext/C/rpc"
+
+gcloud compute instances create $INSTANCE_NAME \
+  --project=verifiable-ai-hackathon \
+  --zone=us-central1-c \
+  --machine-type=n2d-standard-2 \
+  --network-interface=network-tier=PREMIUM,nic-type=GVNIC,stack-type=IPV4_ONLY,subnet=default \
+  --metadata=tee-image-reference=$TEE_IMAGE_REFERENCE,\
+tee-container-log-redirect=true,\
+tee-env-GEMINI_API_KEY=$GEMINI_API_KEY,\
+tee-env-GEMINI_MODEL=$GEMINI_MODEL,\
+tee-env-WEB3_PROVIDER_URL=$WEB3_PROVIDER_URL,\
+tee-env-SIMULATE_ATTESTATION=false \
+  --maintenance-policy=MIGRATE \
+  --provisioning-model=STANDARD \
+  --service-account=confidential-sa@verifiable-ai-hackathon.iam.gserviceaccount.com \
+  --scopes=https://www.googleapis.com/auth/cloud-platform \
+  --min-cpu-platform="AMD Milan" \
+  --tags=flare-ai,http-server,https-server \
+  --create-disk=auto-delete=yes,\
+boot=yes,\
+device-name=$INSTANCE_NAME,\
+image=projects/confidential-space-images/global/images/confidential-space-debug-250100,\
+mode=rw,\
+size=11,\
+type=pd-standard \
+  --shielded-secure-boot \
+  --shielded-vtpm \
+  --shielded-integrity-monitoring \
+  --reservation-affinity=any \
+  --confidential-compute-type=SEV
+  ```
+
+
+  # Running without Docker 
+
+Setup .venv
+```python3.12 -m venv .venv```
+
+Activate .venv
+```source .venv/bin/activate```
+
+Install flare_ai_kit for editing
+```pip install -e ../../```
+
+Install libraries
+```uv sync --all-extras```
+
+Install modified tlslite-ng
+```pip install git+https://github.com/simonjonsson87/tlslite-ng.git```
+