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Merge pull request #29 from n1lanjan/fix-typos 

Fix Typos
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Zach 2025-04-08 10:31:39 -04:00 committed by GitHub
parent 327046c568 253c932c6d
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2 changed files with 4 additions and 4 deletions
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docs/core_abstraction/batch.md
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@ -82,7 +82,7 @@ summarize_all_files.run(shared)
## 3. Nested or Multi-Level Batches ## 3. Nested or Multi-Level Batches
You can nest a **BatchFlow** in another **BatchFlow**. For instance: You can nest a **BatchFlow** in another **BatchFlow**. For instance:
- **Outer** batch: returns a list of diretory param dicts (e.g., `{"directory": "/pathA"}`, `{"directory": "/pathB"}`, ...). - **Outer** batch: returns a list of directory param dicts (e.g., `{"directory": "/pathA"}`, `{"directory": "/pathB"}`, ...).
- **Inner** batch: returning a list of per-file param dicts. - **Inner** batch: returning a list of per-file param dicts.
At each level, **BatchFlow** merges its own param dict with the parent’s. By the time you reach the **innermost** node, the final `params` is the merged result of **all** parents in the chain. This way, a nested structure can keep track of the entire context (e.g., directory + file name) at once. At each level, **BatchFlow** merges its own param dict with the parent’s. By the time you reach the **innermost** node, the final `params` is the merged result of **all** parents in the chain. This way, a nested structure can keep track of the entire context (e.g., directory + file name) at once.
@ -104,4 +104,4 @@ class DirectoryBatchFlow(BatchFlow):
# MapSummaries have params like {"directory": "/path/to/dirA", "filename": "file1.txt"} # MapSummaries have params like {"directory": "/path/to/dirA", "filename": "file1.txt"}
inner_flow = FileBatchFlow(start=MapSummaries()) inner_flow = FileBatchFlow(start=MapSummaries())
outer_flow = DirectoryBatchFlow(start=inner_flow) outer_flow = DirectoryBatchFlow(start=inner_flow)
``` ```

4
docs/guide.md
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@ -85,7 +85,7 @@ Agentic Coding should be a collaboration between Human System Design and Agent I
prompt = "What is the meaning of life?" prompt = "What is the meaning of life?"
print(call_llm(prompt)) print(call_llm(prompt))
``` ```
- > **Sometimes, design Utilies before Flow:** For example, for an LLM project to automate a legacy system, the bottleneck will likely be the available interface to that system. Start by designing the hardest utilities for interfacing, and then build the flow around them. - > **Sometimes, design Utilities before Flow:** For example, for an LLM project to automate a legacy system, the bottleneck will likely be the available interface to that system. Start by designing the hardest utilities for interfacing, and then build the flow around them.
{: .best-practice } {: .best-practice }
4. **Node Design**: Plan how each node will read and write data, and use utility functions. 4. **Node Design**: Plan how each node will read and write data, and use utility functions.
@ -224,4 +224,4 @@ my_project/
if __name__ == "__main__": if __name__ == "__main__":
main() main()
``` ```