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mike dupont
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bugfix : name mismatch
work in progress
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‎README.md

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@@ -330,3 +330,68 @@ pnpm install --include=optional sharp
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[![Star History Chart](https://api.star-history.com/svg?repos=elizaos/eliza&type=Date)](https://star-history.com/#elizaos/eliza&Date)
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## Notes
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```
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export AWS_REGION=us-east-1
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export AWS_DEFAULT_REGION=us-east-1
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aws ssm start-session --target i-0fe1eb04620fa49b6
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sudo su -
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cd /opt/agent/
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git branch
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* feature/systemd-parameters
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docker ps
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CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
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apt install asciinema
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asciinema rec debug1.cast
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```
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cat /var/lib/cloud/instances/i-0fe1eb04620fa49b6/user-data.txt
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if [ ! -d "/opt/agent/" ]; then
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git clone https://github.com/meta-introspector/cloud-deployment-eliza/ "/opt/agent/"
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fi
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cd "/opt/agent/" || exit 1
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git stash
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git fetch --all # get the latest version
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git checkout --track --force "origin/feature/systemd-parameters"
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bash -x /opt/agent/rundocker.sh
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Get our new version:
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```
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git pull
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```
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Better error messages:
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Could not find tine_agent_agent_image
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Could not find tine_agent_tokenizer_image
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Could not find tine_agent_twitter_email
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Could not find tine_agent_twitter_username
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Could not find tine_agent_groq_key
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Could not find tine_agent_twitter_password
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Now lets put this into aws and overwrite the old key
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```
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export AGENT_IMAGE=h4ckermike/arm64-tokenizers:feature-arm64
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export TOKENIZER_IMAGE=h4ckermike/elizaos-eliza:feature-arm64_fastembed
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…. All the variables mentioned.
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aws ssm put-parameter --overwrite --name "tine_agent_twitter_password" --value "${TWITTER_PASSWORD}" --type String
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aws ssm put-parameter --overwrite --name "tine_agent_twitter_email" --value "${TWITTER_EMAIL}" --type String
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aws ssm put-parameter --overwrite --name "tine_agent_twitter_username" --value "${TWITTER_USERNAME}" --type String
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aws ssm put-parameter --name "tine_agent_openai_key" --value "${OPENAI_API_KEY}" --type String
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aws ssm put-parameter --name "tine_agent_openai_endpoint" --value "${OPENAI_API_BASE}" --type String
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aws ssm put-parameter --name "tine_agent_openai_model" --value "${LLMMODEL}" --type String aws ssm put-parameter --name "tine_agent_groq_key" --value "${GROQ_API_KEY}" --type String
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```
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This is in the set_secrets.sh
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Using docker images from docker hub will cause docker to block you eventually
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For bandwidth. You will want to host the docker images in your ECR repository or somewhere you own for stability.
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bash ./get_secrets.sh
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cat /var/run/agent/secrets/env
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aws ssm start-session --target i-0fe1eb04620fa49b6 --region us-east-1
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https://github.com/jmikedupont2/ai-agent-terraform/tree/feature/codebuild

‎demo.md

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@@ -32,33 +32,6 @@ aws ssm start-session --target i-06a744b2cf12e2356 --document-name AWS-StartPort
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```
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# now lets connect the agent on what appears to be local host 9031
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```
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cd ~/eliza-starter/
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export SERVER_NAME=localhost:9301
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nvm use 23
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pnpm start
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```
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```
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ssh ubuntu@localhost -p 2222
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sudo su -
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cd /opt/agent
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asciinema rec server.txt
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tail -f strace.log | grep -i TINE
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asciinema upload server.txt
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```
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Record cinema
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```
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asciinema rec server.ac
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```
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```
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aws ssm start-session --target i-06a744b2cf12e2356
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```
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# next configure our access to llm api
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We will use the free tier LLM Model
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```
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# now lets connect the agent on what appears to be local host 9031
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```
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cd ~/eliza-starter/
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export SERVER_NAME=localhost:9301
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nvm use 23
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pnpm start
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```
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```
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ssh ubuntu@localhost -p 2222
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sudo su -
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cd /opt/agent
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asciinema rec server.txt
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tail -f strace.log | grep -i TINE
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asciinema upload server.txt
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```
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Record cinema
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```
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asciinema rec server.ac
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```
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```
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aws ssm start-session --target i-06a744b2cf12e2356
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```
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‎set_secrets.sh

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#set +x # turn off logging
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export AGENT_IMAGE=h4ckermike/arm64-tokenizers:feature-arm64
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export TOKENIZER_IMAGE=h4ckermike/elizaos-eliza:feature-arm64_fastembed
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# sets the parameter
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aws ssm put-parameter --name "agent_openai_key" --value "${OPENAI_API_KEY}" --type String
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#aws ssm put-parameter --name "agent_openai_key" --value "${OPENAI_API_KEY}" --type String
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aws ssm put-parameter --overwrite --name "tine_agent_twitter_password" --value "${TWITTER_PASSWORD}" --type String
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aws ssm put-parameter --overwrite --name "tine_agent_twitter_email" --value "${TWITTER_EMAIL}" --type String
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aws ssm put-parameter --overwrite --name "tine_agent_twitter_username" --value "${TWITTER_USERNAME}" --type String
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#aws ssm put-parameter --name "tine_agent_openai_key" --value "${OPENAI_API_KEY}" --type String
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#aws ssm put-parameter --name "tine_agent_openai_endpoint" --value "${OPENAI_API_BASE}" --type String
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#aws ssm put-parameter --name "tine_agent_openai_model" --value "${LLMMODEL}" --type String
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aws ssm put-parameter --name "tine_agent_groq_key" --value "${GROQ_API_KEY}" --type String
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aws ssm put-parameter --name "tine_agent_agent_image" --value "${AGENT_IMAGE}" --type String
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aws ssm put-parameter --name "tine_agent_tokenizer_image" --value "${TOKENIZER_IMAGE}" --type String
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‎systemd/agent-docker.service

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@@ -19,8 +19,8 @@ ExecStartPre=-/usr/bin/docker exec %n stop || echo cannot prestop
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ExecStartPre=-/usr/bin/docker rm %n || echo cannot preremove
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ExecStartPre=/usr/bin/docker pull {AGENT_IMAGE}
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ExecStartPre=/usr/bin/docker pull {TOKENIZERS_IMAGE}
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ExecStartPre=docker run -v tokenizer:/node_modules/tokenizers/ {TOKENIZERS_IMAGE}
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ExecStartPre=/usr/bin/docker pull {TOKENIZER_IMAGE}
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ExecStartPre=docker run -v tokenizer:/node_modules/tokenizers/ {TOKENIZER_IMAGE}
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#ExecStart=/usr/bin/docker run -p 3000:3000 --mount type=bind,source=/opt/agent,target=/opt/agent --env-file /var/run/agent/secrets/env --rm --name %n 767503528736.dkr.ecr.us-east-2.amazonaws.com/agent/eliza:feature-arm64_fastembed
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ExecStart=/usr/bin/docker run -d -p 3000:3000 -v tokenizer:/app/node_modules/@anush008/tokenizers/ -v tokenizer:/app/node_modules/fastembed/node_modules/.pnpm/@anush008+tokenizers@https+++codeload.github.com+meta-introspector+arm64-tokenizers+tar.gz+98_s2457qj3pe4ojcbckddasgzfvu/node_modules/@anush008/ --mount type=bind,source=/opt/agent,target=/opt/agent --mount type=bind,source=/opt/agent/characters/,target=/app/agent/characters/ --mount type=bind,source=/opt/characters/eliza.character.json,target=/agent/characters/eliza.character.json --env-file /var/run/agent/secrets/env --rm --name "agent-docker.service" --entrypoint /opt/agent/docker-entrypoint-strace2.sh {AGENT_IMAGE}

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