support code generation of event components using an LLM (Python) #557
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🦋 Changeset detectedLatest commit: c2336b6 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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WalkthroughThis pull request introduces a patch entry titled "create-llama" to support UI generation tailored for deep research workflows in Python. The changes update documentation with a new UI customization section, enhance event handling by replacing the old event class with a new Changes
Sequence Diagram(s)sequenceDiagram
participant User as User (CLI)
participant Cmd as Command Parser (generate_ui_for_workflow)
participant UIService as UI Generation Service (llama_index.server.gen_ui.main)
participant FS as File System
User->>Cmd: Execute "poetry run generate:ui --input_file ... --output_file ..."
Cmd->>Cmd: Parse command-line arguments
Cmd->>UIService: Invoke async UI generation
UIService-->>Cmd: Return generated UI code
Cmd->>FS: Write UI code to output file
sequenceDiagram
participant WF as Deep Research Workflow Methods
participant UE as UIEvent Constructor
participant ES as Event Stream
WF->>UE: Create UIEvent with UIEventData payload
UE-->>WF: Return new event object
WF->>ES: Write event to stream (retrieve/analyze/answer stages)
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templates/components/workflows/python/deep_research/README-template.md (1)
58-60: Add language specification to code block.The fenced code block is missing a language specification, which is required according to Markdown standards.
-``` +```shell poetry run generate:ui --input_file ./app/workflow.py --output_file ./components/deep_research_event.jsx<details> <summary>🧰 Tools</summary> <details> <summary>🪛 markdownlint-cli2 (0.17.2)</summary> 58-58: Fenced code blocks should have a language specified null (MD040, fenced-code-language) </details> </details> </blockquote></details> <details> <summary>templates/components/workflows/python/deep_research/workflow.py (1)</summary><blockquote> `306-309`: **Consider updating state to 'error' on exception** When an exception occurs during question answering, the code sets an error message but doesn't update the state to reflect the error condition. ```diff try: answer = await research( context_nodes=ev.context_nodes, question=ev.question, ) except Exception as e: logger.error(f"Error answering question {ev.question}: {e}") answer = f"Got error when answering the question: {ev.question}" + # Update UI event with error state + ctx.write_event_to_stream( + UIEvent( + type="deep_research_event", + data=DeepResearchEventData( + event="answer", + state="error", + id=ev.question_id, + question=ev.question, + answer=answer, + ), + ) + ) + # Continue to write the done state for consistency
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🔇 Additional comments (16)
.changeset/gold-ravens-lay.md (1)
1-5: LGTM! Changeset properly documents the patch.The changeset correctly identifies this as a patch for "create-llama" that adds support for UI generation for deep research use cases in Python. This aligns with the code changes in the PR.
templates/components/workflows/python/deep_research/README-template.md (1)
52-62: Clear documentation for UI customization.The new section provides useful guidance on how to modify the UI and generate a new UI component. This documentation will help users understand how to customize the deep research workflow interface.
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58-58: Fenced code blocks should have a language specified
null(MD040, fenced-code-language)
templates/types/llamaindexserver/fastapi/pyproject.toml (2)
10-12: Updated script entries for improved clarity.The renaming of the function from
generate_datasourcetogenerate_indexand adding more specific script entries (generate:indexandgenerate:ui) improves clarity and maintainability.
23-23: Appropriate dependency added for UI generation.The addition of
llama-index-llms-anthropicis necessary for the UI generation functionality, as indicated by the requirement forANTHROPIC_API_KEYin the README.templates/types/llamaindexserver/fastapi/generate.py (1)
11-38: Function renamed for better clarity and moved imports for better practice.Renaming
generate_datasourcetogenerate_indexbetter reflects the function's purpose. Moving imports inside the function follows the good practice of minimizing global imports, especially for modules that might not be used in all execution paths.templates/components/workflows/python/deep_research/workflow.py (11)
26-26: New import enhances UI event handling capabilitiesThe addition of
UIEventfromllama_index.server.api.modelsenables structured UI event communication, supporting the deep research workflow UI generation goal.
68-90: Well-documented data model for improved developer experienceThe enhanced
DeepResearchEventDataclass provides excellent documentation with clear field descriptions using Pydantic'sField. The docstring clearly explains the workflow stages, and the Literal types constrain values to valid options, making the code more robust.
148-154: Structured UI event for retrieve process startThe code now uses
UIEventwith appropriateDeepResearchEventDatapayload to signal the start of the retrieval process to the UI, which supports a more structured and consistent approach to UI event handling.
162-168: Structured UI event for retrieve process completionSimilar to the start event, this properly signals completion of the retrieval process using the same consistent structure.
188-194: Structured UI event for analysis process startConsistent use of the
UIEventstructure for signaling the start of the analysis phase.
205-211: Structured UI event for analysis process cancellationProperly signals completion of the analysis process when a cancellation occurs.
221-227: Structured UI event for empty analysis completionProperly signals completion of the analysis process when no questions are found.
256-265: Structured UI event for pending answersThe event creates a pending answer placeholder with appropriate identification and question information, helping the UI to display the state correctly.
275-281: Structured UI event for analysis completionConsistently signals the completion of the analysis phase.
291-299: Structured UI event for answer process startProperly signals that answering a specific question is in progress, providing the question ID and text.
310-319: Structured UI event for answer process completionProperly signals completion of answering a specific question, including all necessary information for UI rendering.
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templates/components/workflows/python/deep_research/README-template.md (1)
52-61: Add a language specifier to the code block for better syntax highlighting.The new documentation is clear and helpful. For improved readability and to comply with markdownlint rules, specify the language (
shell) for the code block on line 59:-``` +```shell poetry run generate:ui --input_file ./app/workflow.py --output_file ./components/deep_research_event.jsx🧰 Tools
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templates/types/llamaindexserver/fastapi/generate.py (1)
41-61: 🛠️ Refactor suggestionAdd error handling and clarify implementation details
The new
generate_ui_for_workflowfunction is a good addition for UI generation, but could benefit from improved error handling and clearer implementation.Consider these improvements:
- Use
raise ... from errsyntax in the exception handler for better error tracking- Add error handling for file operations
- Check if output directory exists before writing
- Make the OpenAI model configurable rather than hardcoded
def generate_ui_for_workflow(): """ Generate UI for UIEventData event in app/workflow.py """ import asyncio + import os # To generate UI components for additional event types, # import the corresponding data model (e.g., MyCustomEventData) # and run the generate_ui_for_workflow function with the imported model. # You may also want to adjust the output filename for the generated UI component that matches the event type. try: from app.workflow import UIEventData except ImportError as err: - raise ImportError("Couldn't generate UI component for the current workflow.") + raise ImportError("Couldn't generate UI component for the current workflow.") from err from llama_index.server.gen_ui.main import generate_ui_for_workflow - llm = OpenAI(model="gpt-4.1") - code = asyncio.run(generate_ui_for_workflow(event_cls=UIEventData, llm=llm)) - with open("components/ui_event.jsx", "w") as f: - f.write(code) + # Use model from environment or default to gpt-4.1 + model = os.environ.get("OPENAI_UI_MODEL", "gpt-4.1") + llm = OpenAI(model=model) + + try: + code = asyncio.run(generate_ui_for_workflow(event_cls=UIEventData, llm=llm)) + + # Ensure output directory exists + os.makedirs(os.path.dirname("components/ui_event.jsx"), exist_ok=True) + + with open("components/ui_event.jsx", "w") as f: + f.write(code) + logger.info("UI component successfully generated at components/ui_event.jsx") + except Exception as e: + logger.error(f"Error generating UI component: {str(e)}") + raise🧰 Tools
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54-54: Within an
exceptclause, raise exceptions withraise ... from errorraise ... from Noneto distinguish them from errors in exception handling(B904)
🧹 Nitpick comments (2)
templates/components/workflows/python/deep_research/README-template.md (1)
58-60: Add language specification to the code blockThe fenced code block doesn't specify a language, which is a minor markdown best practice issue flagged by markdownlint. Add a language specification for better syntax highlighting and consistency with other code blocks in the file.
-``` +```shell poetry run generate:ui<details> <summary>🧰 Tools</summary> <details> <summary>🪛 markdownlint-cli2 (0.17.2)</summary> 58-58: Fenced code blocks should have a language specified null (MD040, fenced-code-language) </details> </details> </blockquote></details> <details> <summary>templates/types/llamaindexserver/fastapi/generate.py (1)</summary><blockquote> `41-44`: **Consider enhancing the docstring with more details** The docstring could be more informative about what the function does and what the generated UI component is used for. ```diff def generate_ui_for_workflow(): """ - Generate UI for UIEventData event in app/workflow.py + Generate UI component for UIEventData events defined in app/workflow.py. + + This function creates a React component file at components/ui_event.jsx + that will render the UI for retrieve, analyze, and answer events in the deep research workflow. """
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templates/types/llamaindexserver/fastapi/generate.pytemplates/components/workflows/python/deep_research/README-template.md
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templates/types/llamaindexserver/fastapi/generate.py (2)
templates/types/llamaindexserver/fastapi/app/settings.py (1)
init_settings(6-8)templates/components/workflows/python/deep_research/workflow.py (1)
UIEventData(68-90)
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templates/types/llamaindexserver/fastapi/generate.py
54-54: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
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templates/components/workflows/python/deep_research/README-template.md
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templates/components/workflows/python/deep_research/README-template.md (1)
52-60:❓ Verification inconclusive
Documentation looks good but consider clarifying any API key requirements
The new "Customize the UI" section provides clear instructions for modifying the UI. Based on previous reviews, there was a question about ANTHROPIC_API_KEY requirements. If this is still needed for the UI generation, please mention it in this section.
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#!/bin/bash # Check if the UI generation still requires ANTHROPIC_API_KEY grep -r "ANTHROPIC_API_KEY" --include="*.py" ./templates/types/llamaindexserver/fastapi/generate.pyLength of output: 99
API Key Clarification for UI Generation
The check intemplates/types/llamaindexserver/fastapi/generate.pyproduced no references toANTHROPIC_API_KEY, which suggests that the UI generation process likely no longer depends on it. However, since this inference is based on a limited search, please manually verify (or run a repository-wide search) to confirm that no part of the codebase requires this API key. If the key isn’t needed anywhere, then the "Customize the UI" section can remain unchanged. Otherwise, be sure to update the documentation with any pertinent API key requirements.🧰 Tools
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58-58: Fenced code blocks should have a language specified
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templates/types/llamaindexserver/fastapi/generate.py (1)
11-39: Good refactoring of generate_index functionThe function rename from
generate_datasourcetogenerate_indexmakes the purpose clearer, and moving imports inside the function improves code organization. This change maintains the functionality while making the code more maintainable.
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templates/types/llamaindexserver/fastapi/generate.py (1)
59-61: Add error handling for file operationsThe function lacks error handling for file operations when writing the generated UI code to the output file. This could cause silent failures or confusing error messages.
- code = asyncio.run(generate_ui_for_workflow(event_cls=UIEventData, llm=llm)) - with open("components/ui_event.jsx", "w") as f: - f.write(code) + try: + code = asyncio.run(generate_ui_for_workflow(event_cls=UIEventData, llm=llm)) + # Ensure the components directory exists + os.makedirs("components", exist_ok=True) + with open("components/ui_event.jsx", "w") as f: + f.write(code) + logger.info("UI component successfully generated and saved to components/ui_event.jsx") + except Exception as e: + logger.error(f"Error generating UI component: {str(e)}") + raise
🧹 Nitpick comments (1)
templates/types/llamaindexserver/fastapi/generate.py (1)
51-54: Use exception chaining in the except clauseWhen catching an exception and raising a new one, you should use exception chaining to preserve the original cause.
try: from app.workflow import UIEventData except ImportError: - raise ImportError("Couldn't generate UI component for the current workflow.") + raise ImportError("Couldn't generate UI component for the current workflow.") from None🧰 Tools
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54-54: Within an
exceptclause, raise exceptions withraise ... from errorraise ... from Noneto distinguish them from errors in exception handling(B904)
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templates/types/llamaindexserver/fastapi/generate.py
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templates/types/llamaindexserver/fastapi/generate.py (2)
templates/types/llamaindexserver/fastapi/app/settings.py (1)
init_settings(6-8)templates/components/workflows/python/deep_research/workflow.py (1)
UIEventData(68-90)
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templates/types/llamaindexserver/fastapi/generate.py
54-54: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
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🔇 Additional comments (4)
templates/types/llamaindexserver/fastapi/generate.py (4)
41-44: Good work on adding UI generation supportThe new function adds valuable support for generating UI components for the deep research workflow. The docstring clearly explains the purpose.
47-50: Great documentationThe comments explaining how to extend UI generation for additional event types are helpful and provide clear guidance for future development.
11-20: Good refactoring of imports and function nameRenaming from
generate_datasourcetogenerate_indexmakes the function purpose clearer. Moving the imports inside the function is also good practice to localize dependencies.
58-58:✅ Verification successful
Verify the model name "gpt-4.1"
The model name "gpt-4.1" doesn't appear in OpenAI's official model list as of my knowledge cutoff. Consider using a well-established model name to ensure compatibility.
🌐 Web query:
What are the current available GPT-4 model names from OpenAI?💡 Result:
Currently, OpenAI offers the following GPT-4 models:
GPT-4.1 Series
- GPT-4.1: The flagship model with enhanced coding and instruction-following capabilities, supporting up to 1 million tokens for long-context tasks[1][3].
- GPT-4.1 mini: A smaller, faster version of GPT-4.1, optimized for speed and cost-effectiveness[1].
- GPT-4.1 nano: The fastest and most cost-effective model in the GPT-4.1 family[1].
GPT-4o Series
- GPT-4o: A multimodal model supporting text and images, known for its versatility and superior performance in vision and non-English language tasks[2][7].
- GPT-4o mini: A smaller, faster version of GPT-4o, designed for focused everyday tasks[2].
- GPT-4o Audio: A model specialized for processing audio inputs and outputs[2].
GPT-4.5 (Preview)
- GPT-4.5: Currently available as a research preview, this is the largest and most advanced GPT model, offering further improvements in coding, long context understanding, and overall reasoning capabilities[2][9].
Within Azure OpenAI Service, additional versions like GPT-4 Turbo and specific preview versions (e.g., GPT-4-0125-preview) are also available[4][7].
Citations:
- 1: https://openai.com/index/gpt-4-1/
- 2: https://platform.openai.com/docs/models
- 3: https://techcrunch.com/2025/04/14/openais-new-gpt-4-1-models-focus-on-coding/
- 4: https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models
- 5: https://help.openai.com/en/articles/7864572-what-is-the-chatgpt-model-selector
- 6: https://openai.com/index/gpt-4/
- 7: https://learn.microsoft.com/en-us/azure/ai-services/openai/whats-new
- 8: https://community.openai.com/t/lets-help-openai-come-up-with-a-better-naming-scheme-for-their-models/1230068
- 9: https://openai.com/index/introducing-gpt-4-5/
- 10: https://platform.openai.com/docs/models/gp
Immediate Resolution: Valid Model Name Confirmed
After verifying the latest OpenAI model list, the model name "gpt-4.1" is confirmed as a valid and officially available GPT-4 model. The code at
templates/types/llamaindexserver/fastapi/generate.py(line 58) is correct. No changes are required.
marcusschiesser
changed the title
… and update comments for clarity. Bump llama-index-server version to 0.1.12.
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Actionable comments posted: 1
♻️ Duplicate comments (1)
templates/types/llamaindexserver/fastapi/generate.py (1)
61-63: 🛠️ Refactor suggestionAdd error handling for file operations.
The function lacks error handling for file operations when writing the generated UI code to the output file. This could cause silent failures or confusing error messages.
- code = asyncio.run(generate_event_component(event_cls=UIEventData, llm=llm)) - with open(f"{COMPONENT_DIR}/ui_event.jsx", "w") as f: - f.write(code) + try: + code = asyncio.run(generate_event_component(event_cls=UIEventData, llm=llm)) + with open(f"{COMPONENT_DIR}/ui_event.jsx", "w") as f: + f.write(code) + logger.info(f"UI component successfully generated and saved to {COMPONENT_DIR}/ui_event.jsx") + except Exception as e: + logger.error(f"Error generating UI component: {str(e)}") + raise
🧹 Nitpick comments (3)
templates/types/llamaindexserver/fastapi/generate.py (3)
56-56: Fix exception handling style.When re-raising exceptions, it's a best practice to use
raise ... from errto maintain the exception chain for better debugging.- raise ImportError("Couldn't generate UI component for the current workflow.") + raise ImportError("Couldn't generate UI component for the current workflow.") from e🧰 Tools
🪛 Ruff (0.8.2)
56-56: Within an
exceptclause, raise exceptions withraise ... from errorraise ... from Noneto distinguish them from errors in exception handling(B904)
59-60: Consider making the LLM model configurable.The model "gpt-4.1" is hardcoded, and the comment suggests other models work well too. Consider making this configurable via environment variables or a settings file.
- # works also well with Claude 3.7 Sonnet or Gemini Pro 2.5 - llm = OpenAI(model="gpt-4.1") + # Get model from environment variable or use default + model_name = os.environ.get("LLM_MODEL", "gpt-4.1") + llm = OpenAI(model=model_name) + logger.info(f"Using LLM model: {model_name}") + # Note: For Claude or Gemini models, you would need to import and use their respective classes
47-47: Consider making COMPONENT_DIR usage more robust.The code directly uses COMPONENT_DIR without checking if it exists or creating it if it doesn't.
from main import COMPONENT_DIR +import os + +# Ensure the component directory exists +os.makedirs(COMPONENT_DIR, exist_ok=True)
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📒 Files selected for processing (3)
templates/types/llamaindexserver/fastapi/generate.py(2 hunks)templates/types/llamaindexserver/fastapi/main.py(1 hunks)templates/types/llamaindexserver/fastapi/pyproject.toml(2 hunks)
✅ Files skipped from review due to trivial changes (1)
- templates/types/llamaindexserver/fastapi/main.py
🚧 Files skipped from review as they are similar to previous changes (1)
- templates/types/llamaindexserver/fastapi/pyproject.toml
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`templates/**`: For files under the `templates` folder, do not report 'Missing Dependencies Detected' errors.
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templates/types/llamaindexserver/fastapi/generate.py
🧬 Code Graph Analysis (1)
templates/types/llamaindexserver/fastapi/generate.py (2)
templates/types/llamaindexserver/fastapi/app/settings.py (1)
init_settings(6-8)templates/components/workflows/python/deep_research/workflow.py (1)
UIEventData(68-90)
🪛 Ruff (0.8.2)
templates/types/llamaindexserver/fastapi/generate.py
56-56: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
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🔇 Additional comments (1)
templates/types/llamaindexserver/fastapi/generate.py (1)
11-39: Improved function renaming for better clarity.The function rename from
generate_datasourcetogenerate_indexis more descriptive of its actual purpose, and the updated docstring provides clear information about what the function does. Moving imports inside the function is also a good practice for localizing dependencies.
Summary by CodeRabbit
New Features
Documentation