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add yaml parse error message
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‎dev/conversations_t.clj‎

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:prompts (fs/file "/Users/slim/docker/labs-ai-tools-for-devs/prompts/curl/README.md")
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:host-dir "/Users/slim/vonwig/altaservice"})
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(alter-var-root
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#'jsonrpc/notify
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(fn [_] (partial (if (:jsonrpc opts) jsonrpc/-notify jsonrpc/-println) opts)))
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(try
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(main/with-options opts ["run"])
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(catch Throwable t

‎graphs/prompts/journals/2024_11_21.md‎

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- `revo` for graphql/rag and fine-grained data access
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- bismuth
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- ratatui rust cli
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- paige
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- agents building infrastructure was super interesting
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- > if you ask a really concise question, you'll get many fewer questions for clarification
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- tinfoil
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- attestations
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- nvidia gpus now shipping with gpms
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- confidentiality
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- enclaves
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- aws nitro hypervisors
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-

‎graphs/prompts/journals/2024_11_22.md‎

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- [[br]]

‎graphs/prompts/logseq/bak/journals/2024_09_03/2024-11-11T15_55_25.389Z.Desktop.md‎

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- Run some prompts checked in to GitHub against a project in the current working directory.
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id:: 66d779c7-c1b7-40c6-a635-fa712da492de
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```sh
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docker run
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--rm -it \
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--pull=always \
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-v /var/run/docker.sock:/var/run/docker.sock \
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-v /run/host-services/backend.sock:/host-services/docker-desktop-backend.sock \
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-e "DOCKER_DESKTOP_SOCKET_PATH=/host-services/docker-desktop-backend.sock" \
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--mount type=volume,source=docker-prompts,target=/prompts \
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-e "OPENAI_API_KEY_LOCATION=/root" \
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--mount type=bind,source=$HOME/.openai-api-key,target=/root/.openai-api-key \
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vonwig/prompts:latest \
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run \
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--host-dir $PWD \
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--platform $(uname -o) \
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--prompts "github:docker/labs-make-runbook?ref=main&path=prompts/lazy_docker"
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```
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- Most of this is boiler plate except:
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- the `--user` option in line 10 requires a valid DOCKER_HUB user name
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- the `--prompts` option in line 12 requires a valid [github reference]([[GitHub Refs]]) to some markdown prompts
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- if the project is located somewhere other than $PWD then the `--host-dir` will need to be updated.
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- Run a local prompt markdown file against a project in the current working directory. In this example, the prompts are not pulled from GitHub. Instead, our prompts are being developed in a directory called `$PROMPTS_DIR`. In this example, the local prompt file is `$PROMPTS_DIR/myprompts.md`.
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id:: 66d77f1b-1684-480d-ad7b-5e9f53292fe4
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```sh
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docker run
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--rm -it \
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--pull=always \
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-v /var/run/docker.sock:/var/run/docker.sock \
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-v /run/host-services/backend.sock:/host-services/docker-desktop-backend.sock \
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-e "DOCKER_DESKTOP_SOCKET_PATH=/host-services/docker-desktop-backend.sock" \
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--mount type=volume,source=docker-prompts,target=/prompts \
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-e "OPENAI_API_KEY_LOCATION=/root" \
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--mount type=bind,source=$HOME/.openai-api-key,target=/root/.openai-api-key \
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--mount type=bind,source=$PROMPTS_DIR,target=/app/workdir \
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--workdir /app/workdir \
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vonwig/prompts:latest \
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run \
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--host-dir $PWD \
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--platform $(uname -o) \
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--prompts-file myprompts.md
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```
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- Most of this is boiler plate except:
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- the `--user` option in line 12 requires a valid DOCKER_HUB user name
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- the `--prompts-file` option in line 14 is a relative path to a prompts file (relative to $PROMPTS_DIR)
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- if the project being analyzed is located somewhere other than $PWD then the `--host-dir` will need to be updated.
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- [[Running the Prompt Engine]]
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- [[Authoring Prompts]]
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- id:: 66d7f3ff-8769-40b3-b6b5-fc4fceea879e
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```
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---
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extractors:
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- name: linguist
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image: vonwig/go-linguist:latest
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command:
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- -json
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output-handler: linguist
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tools:
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- name: findutils-by-name
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description: find files in a project by name
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parameters:
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type: object
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properties:
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glob:
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type: string
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description: the glob pattern for files that should be found
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container:
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image: vonwig/findutils:latest
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command:
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- find
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- .
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- -name
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model: llama3.1
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url: http://localhost/v1/chat/completions
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stream: false
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---
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# Prompt system
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You are an expert on analyzing project content.
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# Prompt user
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{{#linguist}}
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This project contains {{language}} code.
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{{/linguist}}
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Can you find any language specific project files and list them?
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```

‎graphs/prompts/logseq/bak/journals/2024_09_03/2024-11-11T15_55_34.983Z.Desktop.md‎

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- Run some prompts checked in to GitHub against a project in the current working directory.
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id:: 66d779c7-c1b7-40c6-a635-fa712da492de
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```sh
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docker run
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--rm -it \
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--pull=always \
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-v /var/run/docker.sock:/var/run/docker.sock \
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-v /run/host-services/backend.sock:/host-services/docker-desktop-backend.sock \
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-e "DOCKER_DESKTOP_SOCKET_PATH=/host-services/docker-desktop-backend.sock" \
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--mount type=volume,source=docker-prompts,target=/prompts \
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-e "OPENAI_API_KEY_LOCATION=/root" \
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--mount type=bind,source=$HOME/.openai-api-key,target=/root/.openai-api-key \
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vonwig/prompts:latest \
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run \
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--host-dir $PWD \
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--platform $(uname -o) \
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--prompts "github:docker/labs-make-runbook?ref=main&path=prompts/lazy_docker"
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```
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- Most of this is boiler plate except:
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- the `--user` option in line 10 requires a valid DOCKER_HUB user name
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- the `--prompts` option in line 12 requires a valid [github reference]([[GitHub Refs]]) to some markdown prompts
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- if the project is located somewhere other than $PWD then the `--host-dir` will need to be updated.
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- Run a local prompt markdown file against a project in the current working directory. In this example, the prompts are not pulled from GitHub. Instead, our prompts are being developed in a directory called `$PROMPTS_DIR`. In this example, the local prompt file is `$PROMPTS_DIR/myprompts.md`.
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id:: 66d77f1b-1684-480d-ad7b-5e9f53292fe4
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```sh
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docker run
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--rm -it \
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--pull=always \
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-v /var/run/docker.sock:/var/run/docker.sock \
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-v /run/host-services/backend.sock:/host-services/docker-desktop-backend.sock \
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-e "DOCKER_DESKTOP_SOCKET_PATH=/host-services/docker-desktop-backend.sock" \
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--mount type=volume,source=docker-prompts,target=/prompts \
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-e "OPENAI_API_KEY_LOCATION=/root" \
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--mount type=bind,source=$HOME/.openai-api-key,target=/root/.openai-api-key \
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--mount type=bind,source=$PROMPTS_DIR,target=/app/workdir \
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--workdir /app/workdir \
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vonwig/prompts:latest \
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run \
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--host-dir $PWD \
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--platform $(uname -o) \
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--prompts-file myprompts.md
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```
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- Most of this is boiler plate except:
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- the `--user` option in line 12 requires a valid DOCKER_HUB user name
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- the `--prompts-file` option in line 14 is a relative path to a prompts file (relative to $PROMPTS_DIR)
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- if the project being analyzed is located somewhere other than $PWD then the `--host-dir` will need to be updated.
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- [[Running the Prompt Engine]]
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- [[Authoring Prompts]]
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- ---
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id:: 66d7f3ff-8769-40b3-b6b5-fc4fceea879e
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extractors:
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- name: linguist
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image: vonwig/go-linguist:latest
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command:
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- -json
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output-handler: linguist
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tools:
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- name: findutils-by-name
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description: find files in a project by name
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parameters:
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type: object
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properties:
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glob:
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type: string
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description: the glob pattern for files that should be found
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container:
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image: vonwig/findutils:latest
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command:
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- find
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- .
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- -name
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model: llama3.1
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url: http://localhost/v1/chat/completions
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stream: false
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---
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# Prompt system
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You are an expert on analyzing project content.
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# Prompt user
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{{#linguist}}
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This project contains {{language}} code.
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{{/linguist}}
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Can you find any language specific project files and list them?

‎graphs/prompts/logseq/bak/pages/Authoring Prompts/2024-11-11T15_55_25.397Z.Desktop.md‎

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# Prompt files
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The simplest prompt file is just markdown content. We use `h1` headers to delineate the blocks containing prompts and the name of the header to determine the prompt role.
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A prompt file can also contain metadata about how to generate and run the prompt.
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{{embed ((66d7f3ff-8769-40b3-b6b5-fc4fceea879e)) }}
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The example above defines a lot of metadata. A prompt file might also be very simple.
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{{embed ((66d8a396-9268-4917-882f-da4c52b7b5dd)) }}
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Use the [prompt engine]([[Running the Prompt Engine]]) to run this prompt file against an LLM.
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- ## Prompt Metadata
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-

‎graphs/prompts/pages/volumes.md‎

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- Volumes are managed by the top-level container. In other words, we construct them as we need them.
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- the `--thread-id` allows the user of the prompt engine to control the names of the volume
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- by default, tool containers will be started with at least one volume mounted at `/thread`

‎prompts/examples/empty-tools.md‎

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# Summary
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This prompt defines no tools. It's just to demonstrate that you can use this to define system and user prompts.
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# prompt system
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You try to start every sentence with the letter 'a'.
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# prompt user
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Can you give me a quick summary of the NASA space program?

‎prompts/examples/no-prompts.md‎

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# Summary
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There are no prompts or tools in this file. The engine should complain.

‎prompts/sql/prompt.md‎

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type: string
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description: a human description of the query we need to run
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type: "prompt"
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prompt: sql-agent.md
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prompt: github:docker/labs-ai-tools-for-devs?path=prompts/sql/sql-agent.md
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host-dir: /Users/slim/docker/labs-ai-tools-for-devs/prompts/sql # override host-dir while testing
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---
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