Remove LangSmith from Examples

ChatQnA/docker/aipc/compose.yaml

@@ -23,6 +23,8 @@ services:
       https_proxy: ${https_proxy}
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
+      TEI_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
   tei-embedding-service:
     image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
     container_name: tei-embedding-server
@@ -49,9 +51,6 @@ services:
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
       TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-embedding-service"
     restart: unless-stopped
   retriever:
     image: opea/retriever-redis:latest
@@ -68,9 +67,6 @@ services:
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
       TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-retriever-service"
     restart: unless-stopped
   tei-reranking-service:
     image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
@@ -104,9 +100,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-reranking-service"
     restart: unless-stopped
   llm:
     image: opea/llm-ollama
@@ -122,9 +115,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-llm-service"
       OLLAMA_ENDPOINT: ${OLLAMA_ENDPOINT}
   chaqna-aipc-backend-server:
     image: opea/chatqna:latest

ChatQnA/docker/gaudi/README.md

@@ -399,25 +399,6 @@ curl http://${host_ip}:9090/v1/guardrails\
   -H 'Content-Type: application/json'
 ```
 
-## Enable LangSmith for Monotoring Application (Optional)
-
-LangSmith offers tools to debug, evaluate, and monitor language models and intelligent agents. It can be used to assess benchmark data for each microservice. Before launching your services with `docker compose -f compose.yaml up -d`, you need to enable LangSmith tracing by setting the `LANGCHAIN_TRACING_V2` environment variable to true and configuring your LangChain API key.
-
-Here's how you can do it:
-
-1. Install the latest version of LangSmith:
-
-```bash
-pip install -U langsmith
-```
-
-2. Set the necessary environment variables:
-
-```bash
-export LANGCHAIN_TRACING_V2=true
-export LANGCHAIN_API_KEY=ls_...
-```
-
 ## 🚀 Launch the UI
 
 To access the frontend, open the following URL in your browser: http://{host_ip}:5173. By default, the UI runs on port 5173 internally. If you prefer to use a different host port to access the frontend, you can modify the port mapping in the `compose.yaml` file as shown below:

ChatQnA/docker/gaudi/compose.yaml

@@ -63,9 +63,6 @@ services:
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
       TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-embedding-service"
     restart: unless-stopped
   retriever:
     image: opea/retriever-redis:latest
@@ -81,9 +78,6 @@ services:
       https_proxy: ${https_proxy}
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-retriever-service"
     restart: unless-stopped
   tei-reranking-service:
     image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
@@ -117,9 +111,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-reranking-service"
     restart: unless-stopped
   tgi-service:
     image: ghcr.io/huggingface/tgi-gaudi:2.0.1
@@ -158,9 +149,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-llm-service"
     restart: unless-stopped
   chaqna-gaudi-backend-server:
     image: opea/chatqna:latest

ChatQnA/docker/gaudi/compose_guardrails.yaml

@@ -28,6 +28,7 @@ services:
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
       TEI_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
   tgi-guardrails-service:
     image: ghcr.io/huggingface/tgi-gaudi:2.0.1
     container_name: tgi-guardrails-server
@@ -61,7 +62,6 @@ services:
       https_proxy: ${https_proxy}
       SAFETY_GUARD_MODEL_ID: ${SAFETY_GUARD_MODEL_ID}
       SAFETY_GUARD_ENDPOINT: ${SAFETY_GUARD_ENDPOINT}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
     restart: unless-stopped
   tei-embedding-service:
@@ -96,9 +96,6 @@ services:
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
       TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-embedding-service"
     restart: unless-stopped
   retriever:
     image: opea/retriever-redis:latest
@@ -114,9 +111,6 @@ services:
       https_proxy: ${https_proxy}
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-retriever-service"
     restart: unless-stopped
   tei-reranking-service:
     image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
@@ -150,9 +144,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-reranking-service"
     restart: unless-stopped
   tgi-service:
     image: ghcr.io/huggingface/tgi-gaudi:2.0.1
@@ -191,9 +182,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-llm-service"
     restart: unless-stopped
   chaqna-gaudi-backend-server:
     image: opea/chatqna-guardrails:latest

ChatQnA/docker/gaudi/compose_vllm.yaml

@@ -28,6 +28,7 @@ services:
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
       TEI_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
   tei-embedding-service:
     image: opea/tei-gaudi:latest
     container_name: tei-embedding-gaudi-server
@@ -60,9 +61,6 @@ services:
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
       TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-embedding-service"
     restart: unless-stopped
   retriever:
     image: opea/retriever-redis:latest
@@ -78,9 +76,6 @@ services:
       https_proxy: ${https_proxy}
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-retriever-service"
     restart: unless-stopped
   tei-reranking-service:
     image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.2
@@ -114,9 +109,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-reranking-service"
     restart: unless-stopped
   vllm-service:
     image: vllm:hpu

ChatQnA/docker/gaudi/compose_vllm_ray.yaml

@@ -28,6 +28,7 @@ services:
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
       TEI_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
   tei-embedding-service:
     image: opea/tei-gaudi:latest
     container_name: tei-embedding-gaudi-server
@@ -60,9 +61,6 @@ services:
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
       TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-embedding-service"
     restart: unless-stopped
   retriever:
     image: opea/retriever-redis:latest
@@ -78,9 +76,6 @@ services:
       https_proxy: ${https_proxy}
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-retriever-service"
     restart: unless-stopped
   tei-reranking-service:
     image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.2
@@ -114,9 +109,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-reranking-service"
     restart: unless-stopped
   vllm-ray-service:
     image: vllm_ray:habana

ChatQnA/docker/gpu/README.md

@@ -243,25 +243,6 @@ curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
      -H "Content-Type: application/json"
 ```
 
-## Enable LangSmith for Monotoring Application (Optional)
-
-LangSmith offers tools to debug, evaluate, and monitor language models and intelligent agents. It can be used to assess benchmark data for each microservice. Before launching your services with `docker compose -f compose.yaml up -d`, you need to enable LangSmith tracing by setting the `LANGCHAIN_TRACING_V2` environment variable to true and configuring your LangChain API key.
-
-Here's how you can do it:
-
-1. Install the latest version of LangSmith:
-
-```bash
-pip install -U langsmith
-```
-
-2. Set the necessary environment variables:
-
-```bash
-export LANGCHAIN_TRACING_V2=true
-export LANGCHAIN_API_KEY=ls_...
-```
-
 ## 🚀 Launch the UI
 
 To access the frontend, open the following URL in your browser: http://{host_ip}:5173. By default, the UI runs on port 5173 internally. If you prefer to use a different host port to access the frontend, you can modify the port mapping in the `compose.yaml` file as shown below:

ChatQnA/docker/gpu/compose.yaml

@@ -64,9 +64,6 @@ services:
       http_proxy: ${http_proxy}
       https_proxy: ${https_proxy}
       TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-embedding-service"
     restart: unless-stopped
   retriever:
     image: opea/retriever-redis:latest
@@ -82,9 +79,6 @@ services:
       https_proxy: ${https_proxy}
       REDIS_URL: ${REDIS_URL}
       INDEX_NAME: ${INDEX_NAME}
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-retriever-service"
     restart: unless-stopped
   tei-reranking-service:
     image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
@@ -125,9 +119,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-reranking-service"
     restart: unless-stopped
   tgi-service:
     image: ghcr.io/huggingface/text-generation-inference:2.0
@@ -168,9 +159,6 @@ services:
       HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
       HF_HUB_DISABLE_PROGRESS_BARS: 1
       HF_HUB_ENABLE_HF_TRANSFER: 0
-      LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
-      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
-      LANGCHAIN_PROJECT: "opea-llm-service"
     restart: unless-stopped
   chaqna-backend-server:
     image: opea/chatqna:latest

ChatQnA/docker/xeon/README.md

@@ -375,25 +375,6 @@ curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
      -H "Content-Type: application/json"
 ```
 
-## Enable LangSmith for Monotoring Application (Optional)
-
-LangSmith offers tools to debug, evaluate, and monitor language models and intelligent agents. It can be used to assess benchmark data for each microservice. Before launching your services with `docker compose -f compose.yaml up -d`, you need to enable LangSmith tracing by setting the `LANGCHAIN_TRACING_V2` environment variable to true and configuring your LangChain API key.
-
-Here's how you can do it:
-
-1. Install the latest version of LangSmith:
-
-```bash
-pip install -U langsmith
-```
-
-2. Set the necessary environment variables:
-
-```bash
-export LANGCHAIN_TRACING_V2=true
-export LANGCHAIN_API_KEY=ls_...
-```
-
 ## 🚀 Launch the UI
 
 To access the frontend, open the following URL in your browser: http://{host_ip}:5173. By default, the UI runs on port 5173 internally. If you prefer to use a different host port to access the frontend, you can modify the port mapping in the `compose.yaml` file as shown below:

ChatQnA/docker/xeon/README_qdrant.md

@@ -339,25 +339,6 @@ curl -X POST "http://${host_ip}:6009/v1/dataprep/delete_file" \
      -H "Content-Type: application/json"
 ```
 
-## Enable LangSmith for Monotoring Application (Optional)
-
-LangSmith offers tools to debug, evaluate, and monitor language models and intelligent agents. It can be used to assess benchmark data for each microservice. Before launching your services with `docker compose -f compose.yaml up -d`, you need to enable LangSmith tracing by setting the `LANGCHAIN_TRACING_V2` environment variable to true and configuring your LangChain API key.
-
-Here's how you can do it:
-
-1. Install the latest version of LangSmith:
-
-```bash
-pip install -U langsmith
-```
-
-2. Set the necessary environment variables:
-
-```bash
-export LANGCHAIN_TRACING_V2=true
-export LANGCHAIN_API_KEY=ls_...
-```
-
 ## 🚀 Launch the UI
 
 To access the frontend, open the following URL in your browser: http://{host_ip}:5173. By default, the UI runs on port 5173 internally. If you prefer to use a different host port to access the frontend, you can modify the port mapping in the `compose.yaml` file as shown below: