Merge pull request #317 from SylphAI-Inc/release_0_2_7

Release 0 2 7

Author: Sylph-AI

.github/workflows/python-test.yml

@@ -14,7 +14,7 @@ jobs:
         python-version: ['3.9', '3.10', '3.11', '3.12']
 
     steps:
-      - uses: actions/checkout@v3 # Updated to the latest version
+      - uses: actions/checkout@v4 # Updated to the latest version
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v4 # Updated to the latest version
         with:
@@ -37,7 +37,7 @@ jobs:
           poetry run pytest
 
       - name: Upload pytest results as an artifact (optional)
-        uses: actions/upload-artifact@v3 # Updated to the latest version
+        uses: actions/upload-artifact@v4 # Updated to the latest version
         if: always() # Always run this step to ensure test results are saved even if previous steps fail
         with:
           name: pytest-results

adalflow/CHANGELOG.md

@@ -1,16 +1,23 @@
-## [0.2.7] - 2024-09-23
+## [0.2.7] - 2025-01-16
 
-### Improved
-- Better diagnose report for `Trainer.diagnose`.
-- Multi-hop RAG with handling of Cycle.
-
-## [0.2.7] - TO Be Released
 ### Added
 - `Memory` is completed with `call` and `add_dialog_turn` methods.
 - Integrated `LanceDB` in the `Retriever`
+- Multi-modal (image input and generation) in `OpenAIClient` along with tests.
+- `ComponentList` to support a list of components registered in a component. Added `test_componentlist` to test the `ComponentList`.
+
 ### Improved
+- Better diagnose report for `Trainer.diagnose`.
 - `BedrockAPIClient` added more details on setup, yet it is still in experimental stage.
 - `AzureAPIClient` added more details on setup, yet it is still in experimental stage.
+-  `Retriever` class:
+  - Support data id (field).
+- `GradComponent`: Support pass-through gradient for the `forward` method.
+
+Optimization
+- Aggregated all backward engine prompts in `backward_engine_prompt`.
+- Added `TGDData` for the optimizer to support reasoning at proposing new prompt.
+- Added `sequential_order` in the `Trainer` to support the sequential training order. Reorganized the trainer code.
 ## [0.2.6] - 2024-11-25
 ### Improved
 - Add default `max_tokens=512` to the `AnthropicAPIClient` to avoid the error when the user does not provide the `max_tokens` in the prompt.

adalflow/adalflow/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.2.6"
+__version__ = "0.2.7"
 
 from adalflow.core.component import Component, fun_to_component
 from adalflow.core.container import Sequential, ComponentList

adalflow/adalflow/components/model_client/openai_client.py

@@ -310,15 +310,19 @@ def convert_inputs_to_api_kwargs(
                 raise ValueError("model must be specified for image generation")
             # Set defaults for DALL-E 3 if not specified
             final_model_kwargs["size"] = final_model_kwargs.get("size", "1024x1024")
-            final_model_kwargs["quality"] = final_model_kwargs.get("quality", "standard")
+            final_model_kwargs["quality"] = final_model_kwargs.get(
+                "quality", "standard"
+            )
             final_model_kwargs["n"] = final_model_kwargs.get("n", 1)
-            final_model_kwargs["response_format"] = final_model_kwargs.get("response_format", "url")
+            final_model_kwargs["response_format"] = final_model_kwargs.get(
+                "response_format", "url"
+            )
 
             # Handle image edits and variations
             image = final_model_kwargs.get("image")
             if isinstance(image, str) and os.path.isfile(image):
                 final_model_kwargs["image"] = self._encode_image(image)
-            
+
             mask = final_model_kwargs.get("mask")
             if isinstance(mask, str) and os.path.isfile(mask):
                 final_model_kwargs["mask"] = self._encode_image(mask)
@@ -340,11 +344,7 @@ def parse_image_generation_response(self, response: List[Image]) -> GeneratorOut
             )
         except Exception as e:
             log.error(f"Error parsing image generation response: {e}")
-            return GeneratorOutput(
-                data=None,
-                error=str(e),
-                raw_response=str(response)
-            )
+            return GeneratorOutput(data=None, error=str(e), raw_response=str(response))
 
     @backoff.on_exception(
         backoff.expo,
@@ -417,7 +417,9 @@ async def acall(
                     response = await self.async_client.images.edit(**api_kwargs)
                 else:
                     # Image variation
-                    response = await self.async_client.images.create_variation(**api_kwargs)
+                    response = await self.async_client.images.create_variation(
+                        **api_kwargs
+                    )
             else:
                 # Image generation
                 response = await self.async_client.images.generate(**api_kwargs)