Council - Release 0.10.0 (#68)

* Small fixes

* Release to 0.10.0

* Update README.md

README.md

@@ -83,7 +83,7 @@ Import Council.
 ```python
 from council.chains import Chain
 from council.skills import LLMSkill
-from council.llm import OpenAILLM, OpenAILLMConfiguration
+from council.llm import OpenAILLM
 ```
 
 Setup API keys in .env file (example in repository) and use it to setup the LLM (here: OpenAILLM).
@@ -92,7 +92,7 @@ Setup API keys in .env file (example in repository) and use it to setup the LLM
 import dotenv
 
 dotenv.load_dotenv()
-openai_llm = OpenAILLM(config=OpenAILLMConfiguration.from_env())
+openai_llm = OpenAILLM.from_env()
 ```
 
 Create your first Hello World Skill and Wrap it in a Chain.

council/contexts/messages.py

@@ -248,3 +248,6 @@ def __le__(self, other: "ScoredChatMessage"):
 
     def __str__(self):
         return f"{self.score}"
+
+    def __repr__(self):
+        return f"ScoredChatMessage({self.message}, {self.score})"

dev-requirements.txt

@@ -2,8 +2,8 @@ hatch==1.7.0
 
 # Lint
 black == 23.7.0
-mypy == 1.4.1
-ruff==0.0.277
+mypy==1.5.1
+ruff==0.0.285
 
 # Test
 pytest==7.4.0

docs/source/getting_started/first_example.ipynb

@@ -25,7 +25,7 @@
    "source": [
     "from council.chains import Chain\n",
     "from council.skills import LLMSkill\n",
-    "from council.llm import OpenAILLM, OpenAILLMConfiguration\n"
+    "from council.llm import OpenAILLM\n"
    ],
    "metadata": {
     "collapsed": false
@@ -48,7 +48,7 @@
     "import dotenv\n",
     "\n",
     "dotenv.load_dotenv()\n",
-    "openai_llm = OpenAILLM(config=OpenAILLMConfiguration.from_env())\n"
+    "openai_llm = OpenAILLM.from_env()\n"
    ],
    "metadata": {
     "collapsed": false
@@ -185,6 +185,18 @@
    "metadata": {
     "collapsed": false
    }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "result = agent.execute_from_user_message(\"Represent with emojis, council a multi agent framework\")\n",
+    "print(result.best_message.message)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
   }
  ],
  "metadata": {

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "council-ai"
-version = "0.0.9"
+version = "0.10.0"
 description = "Council is an open-source framework for the rapid development and robust deployment of customized generative AI applications"
 readme = "README.md"
 requires-python = ">=3.9"

requirements.txt

@@ -8,6 +8,6 @@ tiktoken==0.4.0
 
 # Skills
 ## Google
-google-api-python-client==2.93.0
-GoogleNews==1.6.8
+google-api-python-client==2.97.0
+GoogleNews==1.6.9
 google-api-python-client-stubs

tests/integration/agent_tests/test_agent_test_suite.py

@@ -62,6 +62,6 @@ def test_run(self):
         result = suite.run(self.agent, show_progressbar=False)
         print(json.dumps(result.to_dict(), indent=2))
 
-        self.assertAlmostEqual(0.75, result.results[0].scorer_results[0].score, delta=0.1)
-        self.assertAlmostEqual(0.75, result.results[1].scorer_results[0].score, delta=0.1)
+        self.assertAlmostEqual(0.9, result.results[0].scorer_results[0].score, delta=0.1)
+        self.assertAlmostEqual(0.6, result.results[1].scorer_results[0].score, delta=0.1)
         self.assertAlmostEqual(0.0, result.results[2].scorer_results[0].score, delta=0.1)

tests/integration/llm/test_azure_llm.py

@@ -17,7 +17,8 @@ def setUp(self) -> None:
     def test_basic_prompt(self):
         messages = [LLMMessage.user_message("Give me an example of a currency")]
 
-        result = self.llm.post_chat_request(messages)[0]
+        llm_result = self.llm.post_chat_request(messages)
+        result = llm_result.first_choice
         print(result)
         messages.append(LLMMessage.system_message(result))
         messages.append(LLMMessage.user_message("give me another example"))

tests/integration/skill/test_llm_skill.py

@@ -45,7 +45,7 @@ def test_choices(self):
             agent = Agent.from_skill(llm_skill, "Answer to an user prompt using gpt4")
             result = agent.execute_from_user_message("Give me examples of a currency", budget=Budget(6000))
             self.assertTrue(result.try_best_message.is_some())
-            self.assertEquals(3, len(result.best_message.data))
+            self.assertEquals(3, len(result.best_message.data.choices))
 
         finally:
             del os.environ["AZURE_LLM_N"]