Agent coding integration

.gitignore

@@ -49,9 +49,10 @@ htmlcov-report
 experiment_service_pb2.py
 experiment_service_pb2_grpc.py
 settings.json
-laumch.json
+launch.json
 pkg_main.py
 _version.py
+.wl_opencode.json
 
 # Ignore extensions
 *.onnx

README.md

@@ -321,6 +321,20 @@ Find our documentation [online](https://grayboxtech.github.io/weightslab/latest/
 
 </details>
 
+<details>
+<summary><b>Agent: chat with your training run (OpenCode)</b></summary>
+
+<br>
+
+WeightsLab ships two distinct agent surfaces — the backend SDK agent for data-manipulation
+queries, and a local [OpenCode](https://opencode.ai)-backed agent with a full bash/file
+toolset that can restart training, edit your code, and run recurring `/loop` monitoring
+jobs. See the [Agent docs](https://grayboxtech.github.io/weightslab/latest/agent.html) for
+how the two connect, how to point either one at a local model, and the full `/loop`
+reference.
+
+</details>
+
 </details>
 
 <details>

agent_config.yaml

@@ -4,25 +4,20 @@
 # or directly in the config file.
 # Config file values will override env. variables if both are set.
 # If cloned, env. variables can be defined in a .env file at the root of the repository.
+#
+# OpenCode (opencode.ai) is the only supported agent backend: a local OpenCode
+# server backs every LLM call. There is no API key here -- the credential
+# lives in OpenCode's own config, entered once via `opencode auth login` or
+# the Weights Studio landing page's login modal.
 agent:
-  # Select the model provider.
-  # Local: 'ollama'
-  # Remote: 'openrouter'
-  # provider: openrouter  # Default to OpenRouter if API key is provided, otherwise fallback to local Ollama. This can be overridden by env variable PREFERRED_PROVIDER.
+  # URL of the local OpenCode server (can also be set as env variable
+  # OPENCODE_URL). Defaults to http://127.0.0.1:4096. This is the SAME shared
+  # root env var the frontend reads, so set it once and both sides point at
+  # one server.
+  opencode_url: http://127.0.0.1:4096
 
-  # Local Settings
-  fallback_to_local: false
-  ollama_model: llama3.2:3b
-
-  # # Remote Model Selection
-  # Default is a fast flash-class model. The intent-planning task is simple JSON
-  # generation, so a small/fast model responds in ~2-4s where a 70B model took
-  # ~15-30s for no accuracy gain. Switch back to a large model here if you see
-  # accuracy issues (speed/accuracy tradeoff).
-  openrouter_model: bytedance-seed/seed-2.0-lite  # Open router model name (can also be set as env variable OPENROUTER_MODEL). Fast alternatives: openai/gpt-4o-mini, meta-llama/llama-3.1-8b-instruct. Accurate/slow: ~google/gemini-flash-latest
-  # openrouter_api_key: <your_openrouter_api_key>  # Open router API key (can also be set as env variable OPENROUTER_API_KEY)
-  openrouter_base_url: https://openrouter.ai/api/v1  # Open router base URL (can also be set as env variable OPENROUTER_BASE_URL)
-  openrouter_request_timeout: 60.0  # Timeout for OpenRouter API requests in seconds (can also be set as env variable OPENROUTER_REQUEST_TIMEOUT)
-  openrouter_max_tokens: 2048  # Max completion length. OpenRouter reserves max_tokens*price against the key budget BEFORE generating, so an uncapped value can 402 ("more credits, or fewer max_tokens") on a credit/weekly-limited key. Raise only if responses get truncated (env: OPENROUTER_MAX_TOKENS)
-  openrouter_provider_sort: throughput  # Bias OpenRouter's upstream routing to avoid slow providers: 'throughput' | 'latency' | 'price'. Empty string = let OpenRouter choose (env: OPENROUTER_PROVIDER_SORT)
-  openrouter_structured_output: false  # Ask the model for a schema-validated plan directly (skips free-form JSON + regex repair). More reliable, but only works on models whose OpenRouter route supports structured/JSON-schema output (e.g. Gemini, GPT-4o). env: OPENROUTER_STRUCTURED_OUTPUT=1
+  # OpenCode model, "providerID/modelID" (can also be set as env variable
+  # OPENCODE_MODEL). Empty string self-heals to whatever OpenCode's own
+  # config was last set to, or a configured provider default, falling back
+  # to the free-tier "opencode/deepseek-v4-flash-free" if neither resolves.
+  opencode_model: "opencode/deepseek-v4-flash-free"