Release/v0.2.11 (Pipelex#41)

### 📝 Description

- HotFix for v0.2.10 👇 regarding the new pipelex/pipelex_init.toml`

### 🔄 Type of Change
- [X] 🐛 Bug fix
- [ ] ✨ New feature
- [ ] 💥 Breaking change
- [ ] 📚 Documentation update
- [ ] 🧹 Code refactor
- [ ] ⚡ Performance improvement
- [X] ✅ Test update

### 🧪 Tests

- test_load_pipelex_init_config

Author: lchoquel

CHANGELOG.md

@@ -1,5 +1,9 @@
 # Changelog
 
+## [v0.2.11] - 2025-06-02
+
+- HotFix for v0.2.10 👇 regarding the new pipelex/pipelex_init.toml`
+
 ## [v0.2.10] - 2025-06-02
 
 ### Highlights

pipelex/hub.py

@@ -82,14 +82,14 @@ def set_instance(cls, pipelex_hub: "PipelexHub") -> None:
 
     # tools
 
-    def setup_config(self, config_cls: Type[ConfigRoot]):
+    def setup_config(self, config_cls: Type[ConfigRoot], specific_config_path: Optional[str] = None):
         """
         Set the global configuration instance.
 
         # Args:
         #     config (Config): The configuration instance to set.
         """
-        config = config_manager.load_config()
+        config = config_manager.load_config(specific_config_path)
         config["project_name"] = config_manager.get_project_name()
         self.set_config(config=config_cls.model_validate(config))
 

pipelex/pipelex_init.toml

@@ -9,27 +9,39 @@ api_key_method = "env"
 # This overrrides the defaults set for any llm handle
 "gpt-4o-mini" = "openai"
 
-[cogt.llm_config.openai_openai_config]
+[plugins]
+
+[plugins.openai_config]
+image_output_compression = 100
 api_key_method = "env"
 
-[cogt.llm_config.azure_openai_config]
+[plugins.azure_openai_config]
 api_key_method = "env"
 
-[cogt.llm_config.perplexity_config]
+# TODO: handle multiple azure openai accounts with different resource groups and account names for various llm model
+
+[plugins.perplexity_config]
 api_key_method = "env"
 
-[cogt.llm_config.vertexai_config]
+[plugins.xai_config]
 api_key_method = "env"
 
-[cogt.llm_config.mistral_config]
+[plugins.vertexai_config]
 api_key_method = "env"
 
-[cogt.llm_config.anthropic_config]
+[plugins.mistral_config]
 api_key_method = "env"
 
-[cogt.llm_config.bedrock_config]
+[plugins.bedrock_config]
 client_method = "aioboto3"
 
+[plugins.anthropic_config]
+claude_4_reduced_tokens_limit = 8192  # use "unlimited" to enable the full 32/64K tokens Opus/Sonet but it raises streaming/timeout issues
+api_key_method = "env"
+
+[plugins.custom_endpoint_config]
+api_key_method = "env"
+
 ####################################################################################################
 # OCR config
 ####################################################################################################

pipelex/tools/config/manager.py

@@ -15,6 +15,10 @@
 CONFIG_NAME = "pipelex.toml"
 
 
+class ConfigException(Exception):
+    pass
+
+
 class ConfigManager:
     @property
     def is_in_pipelex_config(self) -> bool:
@@ -100,7 +104,7 @@ def load_inheritance_config(self, the_pipelex_config: Dict[str, Any]):
                         if config:
                             deep_update(the_pipelex_config, config)
 
-    def load_config(self) -> Dict[str, Any]:
+    def load_config(self, specific_config_path: Optional[str] = None) -> Dict[str, Any]:
         """Load and merge configurations from pipelex and local config files.
 
         The configuration is loaded and merged in the following order:
@@ -115,6 +119,7 @@ def load_config(self) -> Dict[str, Any]:
         Returns:
             Dict[str, Any]: The merged configuration dictionary
         """
+
         #################### 1. Load pipelex config ####################
         pipelex_config = self.get_pipelex_config()
 
@@ -141,6 +146,14 @@ def load_config(self) -> Dict[str, Any]:
                 if override_dict := failable_load_toml_from_path(override_path):
                     deep_update(pipelex_config, override_dict)
 
+        #################### 5. Load specific config ####################
+        if specific_config_path:
+            config = failable_load_toml_from_path(specific_config_path)
+            if config:
+                deep_update(pipelex_config, config)
+            else:
+                raise ConfigException(f"Failed to load specific config from {specific_config_path}")
+
         return pipelex_config
 
     def get_project_name(self) -> Optional[str]:

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "pipelex"
-version = "0.2.10"
+version = "0.2.11"
 description = "Pipelex is an open-source dev tool based on a simple declarative language that lets you define replicable, structured, composable LLM pipelines."
 authors = [{ name = "Evotis S.A.S.", email = "evotis@pipelex.com" }]
 maintainers = [{ name = "Pipelex staff", email = "oss@pipelex.com" }]

tests/tools/config/test_config_manager.py

@@ -1,4 +1,6 @@
 from pipelex import pretty_print
+from pipelex.config import PipelexConfig
+from pipelex.hub import get_pipelex_hub
 from pipelex.tools.config.manager import config_manager
 
 
@@ -7,3 +9,7 @@ def test_get_project_name(self):
         project_name = config_manager.get_project_name()
         pretty_print(project_name, title="project_name")
         assert project_name == "pipelex"
+
+    def test_load_pipelex_init_config(self):
+        hub = get_pipelex_hub()
+        hub.setup_config(config_cls=PipelexConfig, specific_config_path="pipelex/pipelex_init.toml")