Update Ollama evolve

Author: Shashikant86

README.md

@@ -45,6 +45,10 @@ Built by [**Superagentic AI**](https://super-agentic.ai) - *Advancing the future
 - **🔧 Multi-Provider LLM Support** - OpenAI, Anthropic, Google, and Ollama (local models included!)
 - **⚡ CI/CD Integration** - Automated quality gates and GitHub Actions support
 
+### 📋 Open Source Limitations
+
+The open source version provides core evaluation capabilities. Advanced features like agent evolution and optimization have limited support. For full optimization capabilities tailored to your needs, please get in touch.
+
 ---
 
 ## Quick Start

docs/index.md

@@ -65,6 +65,10 @@ When AI coding agents dazzle with impressive code but leave you wondering about
 
     **Cloud providers** (OpenAI, Anthropic, Google) still require API keys. See [Installation](getting-started/installation/#setting-up-llm-providers) for setup.
 
+### 📋 Open Source Limitations
+
+The open source version provides core evaluation capabilities. Advanced features like agent evolution and optimization have limited support. For full optimization capabilities tailored to your needs, please get in touch.
+
 ---
 
 ## 🚀 Quick Start (30 Seconds)

mkdocs.yml

@@ -104,10 +104,10 @@ nav:
     - Performance Testing: guides/performance-testing.md
     - UI Testing: guides/ui-testing.md
   - Advanced:
-    - GEPA Integration: advanced/gepa.md
-    - Bloom Integration: advanced/bloom.md
-    - Error Handling: advanced/error-handling.md
-    - Performance: advanced/performance.md
+     - GEPA Integration: advanced/gepa.md
+     - Bloom Integration: advanced/bloom.md
+     - Error Handling: advanced/error-handling.md
+     - Performance: advanced/performance.md
   - API Reference: api-reference.md
   - Examples:
     - Behavioral Spec Example: examples/behavioral-spec.md

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "codeoptix"
-version = "0.1.0"
+version = "0.1.1"
 description = "Agentic Code Optimization & Deep Evaluation for Superior Coding Agent Experience. Built by Superagentic AI."
 readme = "README.md"
 requires-python = ">=3.12"

src/codeoptix/__init__.py

@@ -5,4 +5,4 @@
 Built by Superagentic AI - Advancing AI agent optimization and autonomous systems.
 """
 
-__version__ = "0.1.0"
+__version__ = "0.1.1"

src/codeoptix/cli.py

@@ -371,7 +371,13 @@ def reflect(input, output, agent_name):
 )
 @click.option("--iterations", default=3, help="Number of evolution iterations")
 @click.option("--config", type=click.Path(exists=True), help="Path to config file (JSON/YAML)")
-def evolve(input, reflection, output, iterations, config):
+@click.option(
+    "--llm-provider",
+    default="openai",
+    help="LLM provider for evolution (anthropic, openai, google, ollama)",
+)
+@click.option("--llm-api-key", help="API key for LLM (or set environment variable)")
+def evolve(input, reflection, output, iterations, config, llm_provider, llm_api_key):
     """Evolve agent prompts based on evaluation results."""
     click.echo("🧬 Evolving agent prompts...")
 
@@ -428,11 +434,18 @@ def evolve(input, reflection, output, iterations, config):
     metadata = results.get("metadata", {})
     agent_type = metadata.get("agent", "claude-code")
 
-    # Get LLM provider from results or config
-    llm_provider = evolve_config.get("llm_provider", "openai")
-    llm_api_key = evolve_config.get("llm_api_key") or os.getenv(f"{llm_provider.upper()}_API_KEY")
+    # Get LLM provider from command line or config
+    if llm_provider == "openai":  # default, check config
+        llm_provider = evolve_config.get("llm_provider", "openai")
+    # llm_api_key param takes precedence, then config, then env
+    llm_api_key = (
+        llm_api_key
+        or evolve_config.get("llm_api_key")
+        or os.getenv(f"{llm_provider.upper()}_API_KEY")
+    )
 
-    if not llm_api_key:
+    is_ollama = llm_provider == "ollama"
+    if not llm_api_key and not is_ollama:
         click.echo(
             f"❌ LLM API key required. Set {llm_provider.upper()}_API_KEY or use --config", err=True
         )

src/codeoptix/utils/llm.py

@@ -250,7 +250,7 @@ def chat_completion(
         """Generate a chat completion using a local Ollama model."""
         payload = {
             "model": model,
-            "messages": messages,
+            "prompt": messages[0]["content"],  # Use first message content as prompt
             "stream": False,
             "options": {
                 "temperature": temperature,
@@ -261,7 +261,7 @@ def chat_completion(
 
         data = json.dumps(payload).encode("utf-8")
         req = urllib.request.Request(
-            f"{self.base_url}/api/chat",
+            f"{self.base_url}/api/generate",
             data=data,
             headers={"Content-Type": "application/json"},
             method="POST",
@@ -290,12 +290,8 @@ def chat_completion(
         except json.JSONDecodeError as exc:  # pragma: no cover - unexpected response
             raise RuntimeError(f"Invalid JSON from Ollama: {body!r}") from exc
 
-        # Ollama chat API: response["message"]["content"]
-        message = obj.get("message") or {}
-        content = message.get("content")
-        if isinstance(content, str):
-            return content
-        return str(content) if content is not None else ""
+        # Ollama generate API: response["response"]
+        return obj.get("response", "")
 
     def get_available_models(self) -> list[str]:
         """Get available Ollama models via /api/tags."""