Don't need to run generate script for LlamaCloud #352
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🦋 Changeset detectedLatest commit: b108c0a The changes in this PR will be included in the next version bump. This PR includes changesets to release 1 package
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WalkthroughA new patch named "create-llama" has been introduced, which simplifies the LlamaCloud process by removing the requirement to execute the generate script. This patch also allows the use of a selected LlamaCloud index within a multi-agent template. Additionally, various functions across several files have been updated to accept new parameters, enhancing their flexibility without altering the overall control flow. Changes
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (10)
templates/types/streaming/fastapi/app/api/routers/chat_config.py (2)
26-26: Consider the implications of using print instead of logging.The change from a logging statement to a print statement might impact the application's logging consistency and ability to control log levels. While this change simplifies the output, it may reduce flexibility in log management.
If this change is intentional, consider adding a comment explaining the reason for using print instead of logging here.
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1-1: Remove unused import and ensure consistency in logging approach.With the changes to use
loggingimport on line 1 is now unused and can be removed.Apply this diff to remove the unused import:
-import loggingConsider reviewing the project's logging strategy. If
templates/components/multiagent/python/app/api/routers/chat.py (2)
31-32: LGTM! Consider adding type hints for clarity.The changes look good and align with the PR objectives. The addition of
paramsand its usage inget_chat_engineenhances the flexibility of the chat engine without altering the overall control flow.Consider adding type hints to improve code readability:
- params = data.data or {} + params: dict = data.data or {}This change would make it explicit that
paramsis expected to be a dictionary.
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27-30: Update the TODO comment to reflect partial implementation.The changes have partially addressed the TODO by implementing support for chat params. However, the document filtering aspect is still not implemented.
Consider updating the TODO comment to reflect the current state:
- # The chat API supports passing private document filters and chat params - # but agent workflow does not support them yet - # ignore chat params and use all documents for now - # TODO: generate filters based on doc_ids + # The chat API now supports passing chat params, but private document filters + # are not yet implemented in the agent workflow. + # TODO: Implement document filtering and generate filters based on doc_idsThis update will make it clear which parts of the TODO have been addressed and which parts still need implementation.
templates/components/multiagent/python/app/examples/orchestrator.py (2)
11-11: LGTM! Consider adding documentation for**kwargs.The addition of
**kwargsto the function signature enhances flexibility and aligns with the PR objective. This change is backward-compatible and doesn't break existing functionality.Consider adding a brief docstring to explain the purpose of
**kwargsand any expected key-value pairs, improving the function's usability for other developers.
12-12: LGTM! Consider adding error handling for unexpected kwargs.The usage of
**kwargsincreate_researcherenhances configurability and aligns with the PR objective. This change maintains existing behavior for other components.Consider adding error handling in the
create_researcherfunction to gracefully handle unexpected keyword arguments. This could prevent silent failures if invalid arguments are passed.templates/types/streaming/nextjs/app/components/ui/chat/widgets/LlamaCloudSelector.tsx (4)
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99-106: Improved validation logic with more specific error message.The reordering of the validation check and the inclusion of the
shouldCheckValidflag improves the control flow. The error message is now more specific, which is helpful for debugging.Consider adding a brief comment explaining the purpose of the
shouldCheckValidflag for better code readability.
111-115: Improved default value logic with additional validation.The new logic for determining the
defaultValueof theSelectcomponent adds an extra layer of validation, which is good for preventing errors.Consider adding a comment explaining why
isValidis called withfalseas the third argument (to suppress error logging). This would improve code readability and maintainability.
145-149: ImprovedisValidfunction with more granular control.The updated
isValidfunction signature with new parameters (projects,pipeline, andlogErrors) allows for more granular control over error logging during validation. This is a good improvement in flexibility.Consider adding JSDoc comments to the
isValidfunction to document the purpose of each parameter, especially the newlogErrorsparameter. This would improve code readability and make it easier for other developers to use the function correctly.
156-160: Improved error logging with conditional output.The addition of conditional error logging based on the
logErrorsparameter is a good improvement. It allows for more flexible error handling and debugging.For consistency, consider extracting the error logging into a separate function. This would reduce code duplication and make it easier to maintain consistent error message formatting. For example:
function logErrorIfEnabled(message: string, logErrors: boolean) { if (logErrors) { console.error(message); } }Then you can use it like this:
logErrorIfEnabled(`LlamaCloud project ${pipeline.project} not found. Check LLAMA_CLOUD_PROJECT_NAME variable`, logErrors);Also applies to: 167-171
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📒 Files selected for processing (10)
- .changeset/polite-onions-return.md (1 hunks)
- .changeset/witty-hotels-do.md (1 hunks)
- templates/components/multiagent/python/app/api/routers/chat.py (1 hunks)
- templates/components/multiagent/python/app/engine/engine.py (1 hunks)
- templates/components/multiagent/python/app/examples/choreography.py (2 hunks)
- templates/components/multiagent/python/app/examples/orchestrator.py (1 hunks)
- templates/components/multiagent/python/app/examples/researcher.py (4 hunks)
- templates/components/multiagent/python/app/examples/workflow.py (3 hunks)
- templates/types/streaming/fastapi/app/api/routers/chat_config.py (2 hunks)
- templates/types/streaming/nextjs/app/components/ui/chat/widgets/LlamaCloudSelector.tsx (4 hunks)
✅ Files skipped from review due to trivial changes (1)
- .changeset/polite-onions-return.md
🧰 Additional context used
📓 Path-based instructions (8)
templates/components/multiagent/python/app/api/routers/chat.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/components/multiagent/python/app/engine/engine.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/components/multiagent/python/app/examples/choreography.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/components/multiagent/python/app/examples/orchestrator.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/components/multiagent/python/app/examples/researcher.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/components/multiagent/python/app/examples/workflow.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/types/streaming/fastapi/app/api/routers/chat_config.py (1)
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templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.templates/types/streaming/nextjs/app/components/ui/chat/widgets/LlamaCloudSelector.tsx (1)
Pattern
templates/**: For files under thetemplatesfolder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (15)
.changeset/witty-hotels-do.md (1)
1-5: LGTM! Changeset aligns with PR objectives.The changeset file is correctly formatted and includes a patch version bump for "create-llama". The description accurately reflects the changes mentioned in the PR objectives, specifically the use of a selected LlamaCloud index in a multi-agent template.
templates/components/multiagent/python/app/engine/engine.py (4)
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14-16: LGTM: Function signature update enhances flexibility.The addition of
**kwargsto the function signature is a good improvement. It allows for more flexibility in passing additional parameters to the underlying create functions without breaking existing functionality.
21-21: LGTM: Consistent update tocreate_choreographycall.The addition of
**kwargsto thecreate_choreographyfunction call is consistent with the function signature change and allows for flexible parameter passing.
23-23: LGTM: Consistent update tocreate_orchestratorcall.The addition of
**kwargsto thecreate_orchestratorfunction call is consistent with the function signature change and allows for flexible parameter passing.
25-25: LGTM: Consistent update tocreate_workflowcall and overall improvement.The addition of
**kwargsto thecreate_workflowfunction call completes the consistent update across all agent creation functions. This change, along with the previous modifications, enhances the flexibility of theget_chat_enginefunction without altering its core functionality.The overall impact of these changes is positive:
- It allows for easier extension of functionality in the future.
- It maintains backward compatibility with existing code.
- It provides a uniform interface for all agent creation functions.
templates/components/multiagent/python/app/api/routers/chat.py (1)
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1-45: Overall changes look good and align with PR objectives.The modifications enhance the chat function's flexibility by allowing parameterization of the chat engine, which aligns with the PR objectives of simplifying the LlamaCloud process and enabling the use of a selected LlamaCloud index within a multi-agent template. The core functionality and error handling remain intact, and the changes are consistent with the file's overall structure and coding style.
These changes provide a good foundation for future improvements, such as implementing document filtering as mentioned in the TODO comment.
templates/components/multiagent/python/app/examples/choreography.py (4)
11-11: LGTM: Enhanced function flexibility with**kwargsThe addition of
**kwargsto the function signature improves the flexibility of thecreate_choreographyfunction. This change allows for passing additional keyword arguments without modifying the function signature again in the future, which is a good practice for extensibility.
24-31: LGTM: Improved readability ofsystem_promptThe reformatting of the
system_promptforAgentCallingAgentto use a multi-line string significantly improves code readability. The use ofdedentensures proper indentation, maintaining the original formatting of the prompt text. This change enhances code maintainability without altering the functionality.
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11-31: Summary: Successful implementation of flexible parameter passing and improved readabilityThe changes in this file successfully implement the following improvements:
- Enhanced flexibility through the addition of
**kwargsto thecreate_choreographyfunction.- Proper usage of
**kwargsin thecreate_researcherfunction call.- Improved readability of the
system_promptforAgentCallingAgent.These modifications align with the PR objective of simplifying the LlamaCloud process and enhance the overall quality of the code. Great job!
12-12: LGTM: Proper usage of**kwargsThe
**kwargsis correctly passed to thecreate_researcherfunction, allowing for flexible parameter passing. This is consistent with the function signature change and enhances the extensibility of the code.Could you confirm if it's intentional that
**kwargsis not passed to thecreate_publisherfunction? If it should be included, consider updating thecreate_publishercall as well:publisher = create_publisher(chat_history, **kwargs)To verify the current implementation of
create_publisher, you can run the following script:templates/components/multiagent/python/app/examples/orchestrator.py (1)
16-24: LGTM! Improved formatting enhances readability.The reformatting of
system_promptstrings for bothwriterandrevieweragents improves code readability without altering functionality.Also applies to: 30-36
templates/types/streaming/nextjs/app/components/ui/chat/widgets/LlamaCloudSelector.tsx (1)
48-48: Verify the intention behind changing the default value ofshouldCheckValid.The default value of
shouldCheckValidhas been changed fromtruetofalse. This change might lead to less strict validation by default, potentially allowing invalid configurations to pass through.Could you please confirm if this change is intentional and explain the reasoning behind it? Also, consider adding a comment in the code to explain why the default is set to
false.templates/components/multiagent/python/app/examples/workflow.py (2)
20-23: LGTM: Improved flexibility increate_workflowfunctionThe addition of
**kwargsto thecreate_workflowfunction signature and its usage in thecreate_researcherfunction call enhances the flexibility of the workflow creation process. This change aligns well with the PR objective of simplifying the LlamaCloud process and allowing the use of a selected LlamaCloud index within a multi-agent template.
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131-146: LGTM: Improved readability in_decide_workflowmethodThe modification of the
dedentfunction call to use a multi-line string format enhances the readability of the prompt template. This change is purely cosmetic and doesn't alter the functionality or content of the prompt template.templates/components/multiagent/python/app/examples/researcher.py (1)
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62-84: Verify the indentation and usage ofdedentin thesystem_prompt.The
system_promptusesdedentto format a multi-line string. Ensure that the triple-quoted string is correctly indented and thatdedentfunctions as intended.Run the following script to check the formatting of the
system_promptstring:This will display the
system_promptcontents so you can visually inspect the indentation.✅ Verification successful
Indentation and
dedentUsage Verified Successfully.No issues found with the indentation or
dedentusage in thesystem_prompt.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for proper indentation in the 'system_prompt' multi-line string. # Test: Extract the 'system_prompt' string and display it to verify indentation. rg --multiline --type python --no-heading --line-number -A50 'system_prompt=dedent\(' templates/components/multiagent/python/app/examples/researcher.pyLength of output: 184
Script:
#!/bin/bash # Description: Check for proper indentation in the 'system_prompt' multi-line string. # Test: Extract the 'system_prompt' string and display it to verify indentation. rg --multiline --no-heading --line-number -A50 'system_prompt=dedent\(' templates/components/multiagent/python/app/examples/researcher.pyLength of output: 2189
| print("LlamaCloud is not configured. Skipping adding /config/llamacloud route.") | ||
| pass |
There was a problem hiding this comment.
Remove unnecessary pass statement and consider logging implications.
- The
passstatement on line 46 is unnecessary and can be removed. - Similar to the previous comment, consider the implications of using
printinstead of logging for consistency in log management.
Apply this diff to remove the unnecessary pass statement:
print("LlamaCloud is not configured. Skipping adding /config/llamacloud route.")
- passIf the change to print is intentional, consider adding a comment explaining the reason for this change.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| print("LlamaCloud is not configured. Skipping adding /config/llamacloud route.") | |
| pass | |
| print("LlamaCloud is not configured. Skipping adding /config/llamacloud route.") |
| def _get_research_tools(**kwargs) -> QueryEngineTool: | ||
| """ | ||
| Researcher take responsibility for retrieving information. | ||
| Try init wikipedia or duckduckgo tool if available. | ||
| """ | ||
| tools = [] | ||
| query_engine_tool = _create_query_engine_tool() | ||
| query_engine_tool = _create_query_engine_tool(**kwargs) |
There was a problem hiding this comment.
Ensure compatibility when passing **kwargs to _create_query_engine_tool.
The _get_research_tools function passes **kwargs to _create_query_engine_tool, which accepts only a params parameter. If kwargs contains keys other than params, a TypeError will occur. Consider one of the following solutions:
Solution 1: Update _create_query_engine_tool to accept **kwargs.
Modify the function signature and adjust the parameter handling:
-def _create_query_engine_tool(params=None) -> QueryEngineTool:
+def _create_query_engine_tool(**kwargs) -> Optional[QueryEngineTool]:
"""
Provide an agent worker that can be used to query the index.
"""
# Add query tool if index exists
- index_config = IndexConfig(**(params or {}))
+ index_config = IndexConfig(**kwargs.get('params', {}))
index = get_index(index_config)
if index is None:
return None
# Rest of the function...Solution 2: Pass only the params key from kwargs.
Ensure that only params is passed to _create_query_engine_tool:
query_engine_tool = _create_query_engine_tool(params=kwargs.get('params'))This limits the arguments to those expected by _create_query_engine_tool.
Correct the return type annotation in _get_research_tools.
The _get_research_tools function returns a list of QueryEngineTool instances, but the return type annotation is -> QueryEngineTool. This should be corrected to -> List[QueryEngineTool] for accuracy.
Apply this diff to fix the return type annotation:
-from typing import List
+from typing import List, Optional
def _get_research_tools(**kwargs) -> QueryEngineTool:
"""
Researcher take responsibility for retrieving information.
Try init wikipedia or duckduckgo tool if available.
"""
tools = []
+ # Check if the tools list is not empty before returning
query_engine_tool = _create_query_engine_tool(**kwargs)
if query_engine_tool is not None:
tools.append(query_engine_tool)
researcher_tool_names = ["duckduckgo", "wikipedia.WikipediaToolSpec"]
configured_tools = ToolFactory.from_env(map_result=True)
for tool_name, tool in configured_tools.items():
if tool_name in researcher_tool_names:
tools.extend(tool)
return toolsUpdate the function signature:
-def _get_research_tools(**kwargs) -> QueryEngineTool:
+def _get_research_tools(**kwargs) -> List[QueryEngineTool]:Committable suggestion was skipped due to low confidence.
Summary by CodeRabbit
New Features
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