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jeremiaswerner
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nbaudis
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Nice samples! I've left some suggestions, mostly typos though
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| **Prerequisites** | ||
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| The Agent requires an nferencing backend (an LLM or similar service) to operate. Configure the backend endpoint and credentials via environment variables. Configure any OpenAI compatible API endpoint such as [OpenAI](https://platform.openai.com/) or [IBM watsonx.ai](https://www.ibm.com/products/watsonx-ai) |
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| The Agent requires an nferencing backend (an LLM or similar service) to operate. Configure the backend endpoint and credentials via environment variables. Configure any OpenAI compatible API endpoint such as [OpenAI](https://platform.openai.com/) or [IBM watsonx.ai](https://www.ibm.com/products/watsonx-ai) | |
| The Agent requires an inferencing backend (an LLM or similar service) to operate. Configure the backend endpoint and credentials via environment variables. Configure any OpenAI compatible API endpoint such as [OpenAI](https://platform.openai.com/) or [IBM watsonx.ai](https://www.ibm.com/products/watsonx-ai) |
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| # If you have a .env.template | ||
| cp .env.template .env |
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| # If you have a .env.template | |
| cp .env.template .env | |
| cp .env.saple .env |
| # If you have a .env.template | ||
| cp .env.template .env | ||
| ``` | ||
| Edit the parameter |
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| Edit the parameter | |
| Configure the variables according to your backend: |
| - Modify the tasks in [./src/tasks.py](./src/tasks.py) and register them with the orchestration logic in [./src/agents.py](./src/agents.py). | ||
| - Add your own tools by editing [./src/tools.py](./src/tools.py). | ||
| - Deploy another agent and add it to the Crew [./src/main.py](./src/main.py) | ||
| - [Deploy a MCP Server](../mcp_server_fastmcp/README.md) and make it accessible to your agent(s) |
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| - [Deploy a MCP Server](../mcp_server_fastmcp/README.md) and make it accessible to your agent(s) | |
| - [Deploy an MCP Server](../mcp_server_fastmcp/README.md) and make it accessible to your agent(s) |
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| **Prerequisites** | ||
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| Create an IBM Cloud account on the target Code Engine provider (e.g., IBM Cloud Code Engine) and [login into your IBM Cloud account using the IBM Cloud CLI](https://cloud.ibm.com/docs/codeengine?topic=codeengine-install-cli). |
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Create an IBM Cloud account on the target Code Engine provider (e.g., IBM Cloud Code Engine)
is there an alternative to running the sample on Code Engine? If not, that would sound confusing and could be shortened to "Login to your IBM Cloud account using the IBM Cloud CLI."
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Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR adds three very simple AI examples to allow users a quick start.
All three examples contain a README with explanation as well as a
deploy.shscript that creates all the requires resources in the IBM Cloud.