feat: add structured LLM output support (response_format)#169
Open
Ridwannurudeen wants to merge 1 commit intoOpenGradient:mainfrom
Open
feat: add structured LLM output support (response_format)#169Ridwannurudeen wants to merge 1 commit intoOpenGradient:mainfrom
Ridwannurudeen wants to merge 1 commit intoOpenGradient:mainfrom
Conversation
Add response_format parameter to chat() and completion() methods, enabling JSON schema enforcement for predictable, machine-readable LLM output. Follows the OpenAI structured outputs specification. Changes: - Add ResponseFormat dataclass to types.py - Thread response_format through all LLM methods (public + internal) - Add --response-format and --response-format-file CLI options - Export ResponseFormat from opengradient package - Add llm_structured_output.py example with sentiment analysis demo Closes OpenGradient#155
0f617e8 to
06d3d92
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary
Adds
response_formatparameter tochat()andcompletion()methods, enabling JSON schema enforcement for predictable, machine-readable LLM output. Follows the OpenAI structured outputs specification.ResponseFormatdataclass totypes.pywithto_dict()serializationresponse_formatthrough all 5 LLM methods (2 public + 3 internal)--response-formatand--response-format-fileCLI options for bothchatandcompletioncommandsResponseFormatfrom theopengradientpackageexamples/llm_structured_output.pydemonstrating sentiment analysis with schema enforcementUsage
CLI
Test plan
ResponseFormat.to_dict()serializes correctly (json_object and json_schema)json_schemakey is omitted when not providedcompletion()forwardsresponse_formatto internal methodchat()non-streaming forwardsresponse_formatto internal methodchat()streaming forwardsresponse_formatto internal methodCloses #155