fix: add support in Agent to fix ollama - #10499
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Important Review skippedAuto incremental reviews are disabled on this repository. Please check the settings in the CodeRabbit UI or the You can disable this status message by setting the Note Other AI code review bot(s) detectedCodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review. WalkthroughThe Ollama component was modified to make model name required, introduce an enable_structured_output boolean input to conditionally control structured output formatting, hide the format input by default, and update build logic to compute and include format parameters only when structured output is enabled. Changes
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Pull Request Overview
This PR adds an enable_structured_output feature to the Ollama component that allows users to control whether structured output formatting should be enabled. When disabled, the format field is hidden and its value is not passed to the model.
Key changes:
- Added a new
enable_structured_outputboolean input field - Made the
model_namefield required - Hidden the
formatfield by default - Modified the logic to conditionally parse and use the
formatfield based on the toggle - Added dynamic UI behavior to show/hide the format field when the toggle changes
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| "model": self.model_name, | ||
| "mirostat": mirostat_value, | ||
| "format": output_format, | ||
| "format": output_format or None, |
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The expression output_format or None is redundant. If output_format is already None (when enable_structured_output is False), this expression returns None. If it's a truthy value, it returns that value. However, if output_format is an empty dict {} or empty string '', it would incorrectly convert it to None. Consider using output_format directly instead of output_format or None.
| "format": output_format or None, | |
| "format": output_format, |
| if field_value: | ||
| build_config["format"]["show"] = True | ||
| else: | ||
| build_config["format"]["show"] = False |
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The if-else block can be simplified to a single line: build_config[\"format\"][\"show\"] = field_value. This makes the code more concise while maintaining the same functionality.
| if field_value: | |
| build_config["format"]["show"] = True | |
| else: | |
| build_config["format"]["show"] = False | |
| build_config["format"]["show"] = field_value |
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Actionable comments posted: 0
🧹 Nitpick comments (1)
src/lfx/src/lfx/components/ollama/ollama.py (1)
277-277: LGTM! Logic correctly handles format parameter.The format parameter is correctly set to
output_format or None, ensuring it's filtered out (line 302) when structured output is disabled. Theor Noneis slightly redundant since_parse_format_fieldalready handles falsy values, but it serves as defensive programming.Optional: The
or Nonecould be simplified to justoutput_formatsince line 267 already handles the None case, but keeping it doesn't hurt:- "format": output_format or None, + "format": output_format,
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src/lfx/src/lfx/components/ollama/ollama.py(6 hunks)
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src/lfx/src/lfx/components/ollama/ollama.py (1)
src/lfx/src/lfx/inputs/inputs.py (1)
BoolInput(414-426)
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🔇 Additional comments (5)
src/lfx/src/lfx/components/ollama/ollama.py (5)
104-104: LGTM! Good defensive change.Making
model_namerequired ensures users must select a model before building, preventing potential runtime errors.
129-129: LGTM! Improves UX.Hiding the format input by default aligns well with the new opt-in structured output feature and reduces UI clutter.
220-227: LGTM! Well-structured feature addition.The
enable_structured_outputinput is properly configured with appropriate defaults and real-time refresh capability. The opt-in approach (defaultFalse) is a safe choice.
332-337: LGTM! Dynamic visibility logic is correct.The logic properly toggles the format field's visibility based on the
enable_structured_outputvalue. The early return is fine since field handlers are mutually exclusive.
267-270: LGTM! Correct conditional logic.Format parsing is correctly gated by
enable_structured_output, and the error handling provides a clear message if parsing fails.
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@edwinjosechittilappilly @lucaseduoli i fixed the tests and added some new ones to test the behavior/relationship of the |
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* improve ollama format field behaviour in agent component and update ollama tests * chore: update component index * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * [autofix.ci] apply automated fixes (attempt 3/3) --------- Co-authored-by: Hamza Rashid <hzarashid@gmail.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
* improve ollama format field behaviour in agent component and update ollama tests * chore: update component index * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * [autofix.ci] apply automated fixes (attempt 3/3) --------- Co-authored-by: Hamza Rashid <hzarashid@gmail.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This pull request introduces enhancements to the
ChatOllamaComponentinollama.py, focusing on enabling structured output and improving input configuration flexibility. The most significant changes are the addition of a new input for structured output, updates to the model-building logic to respect this setting, and dynamic UI adjustments based on user selections.Structured Output Feature:
enable_structured_outputto the component, allowing users to toggle structured output functionality in the model configuration.build_modelmethod to conditionally parse and include theformatfield only if structured output is enabled, preventing errors when the feature is off. [1] [2]Input and UI Configuration:
model_nameinput as required, ensuring users must specify a model for the component to function.formatinput to be hidden by default, with its visibility now controlled dynamically based on the structured output setting.update_build_configto show or hide theformatinput in the UI depending on the value ofenable_structured_output, improving user experience and reducing confusion.Summary by CodeRabbit
Release Notes