feat(ai): add support for Ollama AI provider configuration

* Update README with Ollama integration details
* Add Ollama configuration to example YAML files
* Implement Ollama provider in AI factory
* Add tests for Ollama provider functionality
* Enhance config validation for Ollama settings

README.md

@@ -16,8 +16,9 @@ A Go MCP server for capturing and retrieving thoughts, memory, and project conte
 
 - Go — MCP server over Streamable HTTP
 - Postgres + pgvector — storage and vector search
-- LiteLLM — primary AI provider (embeddings + metadata extraction)
+- LiteLLM — primary hosted AI provider (embeddings + metadata extraction)
 - OpenRouter — default upstream behind LiteLLM
+- Ollama — supported local or self-hosted OpenAI-compatible provider
 
 ## Tools
 
@@ -48,6 +49,7 @@ Config is YAML-driven. Copy `configs/config.example.yaml` and set:
 - `database.url` — Postgres connection string
 - `auth.keys` — API keys for MCP endpoint access
 - `ai.litellm.base_url` and `ai.litellm.api_key` — LiteLLM proxy
+- `ai.ollama.base_url` and `ai.ollama.api_key` — Ollama local or remote server
 
 See `llm/plan.md` for full architecture and implementation plan.
 
@@ -72,7 +74,35 @@ Notes:
 
 - The app uses `configs/docker.yaml` inside the container.
 - `OB1_LITELLM_BASE_URL` overrides the LiteLLM endpoint, so you can retarget it without editing YAML.
+- `OB1_OLLAMA_BASE_URL` overrides the Ollama endpoint for local or remote servers.
 - The base Compose file uses `host.containers.internal`, which is Podman-friendly.
 - The Docker override file adds `host-gateway` aliases so Docker can resolve the same host endpoint.
 - Database migrations `001` through `005` run automatically when the Postgres volume is created for the first time.
 - `migrations/006_rls_and_grants.sql` is intentionally skipped during container bootstrap because it contains deployment-specific grants for a role named `amcs_user`.
+
+## Ollama
+
+Set `ai.provider: "ollama"` to use a local or self-hosted Ollama server through its OpenAI-compatible API.
+
+Example:
+
+```yaml
+ai:
+  provider: "ollama"
+  embeddings:
+    model: "nomic-embed-text"
+    dimensions: 768
+  metadata:
+    model: "llama3.2"
+    temperature: 0.1
+  ollama:
+    base_url: "http://localhost:11434/v1"
+    api_key: "ollama"
+    request_headers: {}
+```
+
+Notes:
+
+- For remote Ollama servers, point `ai.ollama.base_url` at the remote `/v1` endpoint.
+- The client always sends Bearer auth; Ollama ignores it locally, so `api_key: "ollama"` is a safe default.
+- `ai.embeddings.dimensions` must match the embedding model you actually use, or startup will fail the database vector-dimension check.