feat: docker compose with build container

.env.example

@@ -0,0 +1,6 @@
+# Bot config
+GEMINI_API_KEY=<your-gemini-api-key>
+ADDR=:8080
+
+# Telegram client config
+BOT_TOKEN=<telegram-bot-token>

.gitignore

@@ -27,4 +27,4 @@ go.work.sum
 history-gemini/*
 !history-gemini/.gitkeep
 bot-context/*
-!bot-context/.gitkeep
+!bot-context/.gitkeep

README.md

@@ -38,9 +38,10 @@ Required env variable(s):
 
 Optional env variable(s):
 - `ADDR` - Listen address for the server (Default: `:8080`)
-- `GEMINI_MODEL` - Model to use (Default: `gemini-2.5-flash-preview-04-17`)
+- `GEMINI_MODEL` - Model to use (Default: `gemini-2.5-flash`)
 - `MCP_SERVERS` - MCP HTTP stream server for external function calls (Eg.: `http://localhost:8081/sse`), this could be a comma separated list for multiple servers
 - `SEARCH_ENABLE` - Allow to use Google search for the AI service (Default: `false`, it won't work together with MCP servers)
+- `HISTORY_SUMMARY` - After how many messages the history should be summarized (Default: `20`, `0` means no summary, both model and user messages counts)
 
 All the history will be stored under the `history-gemini` folder.
 
@@ -83,6 +84,14 @@ If you have a user id, you can use it in the call.
 curl -v -H "X-User-ID: someuserid1" -X POST http://127.0.0.1:8080/message -d "message=Hi there"
 ```
 
+### Use docker
+
+There is a provided docker compose file.
+First make a copy of the `.env.example` file and rename it to `.env` and set your Gemini api key, then you can run the following command to start the server:
+```
+docker-compose up
+```
+
 
 ### Client examples
 
@@ -132,7 +141,6 @@ Optional env variables:
 - `GRAPHQL_URL` - GraphQL base url (Default: `https://graph.facebook.com/v22.0`)
 - `ADDR` - Server listening address (Default: `:8082`)
 - `AI_SERVICE` - AI service (the server-bot's) address (Default: `http://127.0.0.1:8080`)
-- `HISTORY_SUMMARY` - After how many messages the history should be summarized (Default: `20`, `0` means no summary, both model and user messages counts)
 
 Then you can start chatting with the bot via sending a message to the page.
 (If you configured an MCP in the AI service it will be called too.)

cmd/server-bot/main.go

@@ -24,7 +24,8 @@ import (
 func main() {
 
 	logger := slog.New(slog.NewJSONHandler(os.Stdout, &slog.HandlerOptions{
-		Level: slog.LevelDebug, // TODO: set to configurable level
+		// Level: slog.LevelDebug, // TODO: set to configurable level
+		Level: slog.LevelInfo,
 	}))
 
 	addr := os.Getenv("ADDR")

docker-compose.yml

@@ -0,0 +1,29 @@
+# docker-compose.yml
+version: '3.4'
+services:
+  bot:
+    build:
+      context: .
+      dockerfile: docker/Dockerfile-bot
+      target: production
+    env_file:
+      - .env
+    ports:
+      - "8080:8080"
+    volumes:
+      - bot-data:/app
+
+  client-telegram:
+    build:
+      context: .
+      dockerfile: docker/Dockerfile-client-telegram
+      target: production
+    environment:
+      AI_SERVICE: http://bot:8080
+    env_file:
+      - .env
+    depends_on:
+      - bot
+
+volumes:
+  bot-data:

docker/Dockerfile-bot

@@ -0,0 +1,16 @@
+FROM golang:1.25 AS build
+
+WORKDIR /go/src/app
+COPY . .
+
+RUN go mod download
+RUN CGO_ENABLED=0 go build -o /go/bin/server-bot -ldflags '-w -s' cmd/server-bot/main.go
+
+
+FROM gcr.io/distroless/static as production
+WORKDIR /app
+COPY --from=build /go/bin/server-bot server-bot
+COPY --from=build /go/src/app/history-gemini history-gemini
+COPY --from=build /go/src/app/bot-context bot-context
+COPY --from=build /go/src/app/personality.json personality.json
+ENTRYPOINT ["./server-bot"]

docker/Dockerfile-client-telegram

@@ -0,0 +1,12 @@
+FROM golang:1.25 AS build
+
+WORKDIR /go/src/app
+COPY . .
+
+RUN go mod download
+RUN CGO_ENABLED=0 go build -o /go/bin/client-telegram -ldflags '-w -s' cmd/client-telegram/main.go
+
+
+FROM gcr.io/distroless/static as production
+COPY --from=build /go/bin/client-telegram /client-telegram
+ENTRYPOINT ["/client-telegram"]