feat: modernize default model policy

AGENTS.md

@@ -23,7 +23,7 @@ Tests are in `tests/` with shared fixtures in `tests/conftest.py`. Supporting ma
 - `uv run python scripts/smoke_harness.py --budget 1` — run CLI smoke harness.
 - `uv run python scripts/score_check.py` — score regression check.
 - `uv run python scripts/score_check.py --update` — update baselines after improvement.
-- `uv run python scripts/live_integration.py --phase green --artifact FILE --model openai/gpt-4o-mini --budget 15 --objective "..." --evaluator-command bash evaluators/eval.sh` — GREEN phase optimization.
+- `uv run python scripts/live_integration.py --phase green --artifact FILE --model openai/gpt-5.6-sol --budget 15 --objective "..." --evaluator-command bash evaluators/eval.sh` — GREEN phase optimization.
 
 ## Coding Style & Naming Conventions
 Target Python is `>=3.10`. Follow existing style:

CLAUDE.md

@@ -10,20 +10,20 @@ uv run pytest
 uv run optimize-anything --help
 
 # Optimize
-uv run optimize-anything optimize seed.txt --evaluator-command bash eval.sh --model openai/gpt-4o-mini --objective "Improve quality"
+uv run optimize-anything optimize seed.txt --evaluator-command bash eval.sh --model openai/gpt-5.6-sol --objective "Improve quality"
 
 # Generate evaluator (default type: judge)
 uv run optimize-anything generate-evaluator seed.txt --objective "Score quality" > eval.py
 
 # Score one artifact
-uv run optimize-anything score artifact.txt --judge-model openai/gpt-4o-mini --objective "Score clarity"
+uv run optimize-anything score artifact.txt --judge-model openai/gpt-5.6-luna --objective "Score clarity"
 
 # Analyze for quality dimensions
-uv run optimize-anything analyze artifact.txt --judge-model openai/gpt-4o-mini --objective "Quality"
+uv run optimize-anything analyze artifact.txt --judge-model openai/gpt-5.6-luna --objective "Quality"
 
 # Validate across providers
 uv run optimize-anything validate artifact.txt \
-  --providers openai/gpt-4o-mini anthropic/claude-sonnet-4-5 google/gemini-2.0-flash \
+  --providers openai/gpt-5.6-luna anthropic/claude-sonnet-5 gemini/gemini-3.6-flash \
   --objective "Score quality" \
   --intake-file intake.json
 ```
@@ -70,18 +70,22 @@ uv run optimize-anything validate artifact.txt \
 Notes:
 - Exactly one evaluator source: `--evaluator-command` OR `--evaluator-url` OR `--judge-model`.
 - Early stop auto-activates when budget > 30.
+- The proposer defaults to `openai/gpt-5.6-sol` after checking `--model` and `OPTIMIZE_ANYTHING_MODEL`; generated judge and composite evaluators default to `openai/gpt-5.6-luna`.
+- LLM judge calls use each provider's sampling defaults unless an explicit temperature is supplied.
 
 ## Validate subcommand
 
 `validate` runs LLM-judge scoring for one artifact across 2+ providers and reports mean/stddev/min/max.
 
 ```bash
 uv run optimize-anything validate runs/run-20260303-130000/best_artifact.txt \
-  --providers openai/gpt-4o-mini anthropic/claude-sonnet-4-5 google/gemini-2.0-flash \
+  --providers openai/gpt-5.6-luna anthropic/claude-sonnet-5 gemini/gemini-3.6-flash \
   --objective "Score clarity, constraints, and robustness" \
   --intake-file intake.json
 ```
 
+Gemini uses LiteLLM's `gemini/` provider prefix.
+
 ## Plugin structure
 
 ```text

EXAMPLES.md

@@ -36,7 +36,7 @@ Optimization output examples should follow this structure:
 ```bash
 optimize-anything optimize parse_duration.py \
   --evaluator-command bash eval_tests.sh \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --objective "Pass all duration parsing tests" \
   --budget 20
 ```
@@ -61,7 +61,7 @@ Sample output excerpt:
 ```bash
 optimize-anything optimize error_template.txt \
   --evaluator-url http://localhost:8080/evaluate \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --objective "Make API error messages clear and actionable" \
   --budget 15
 ```
@@ -72,9 +72,9 @@ optimize-anything optimize error_template.txt \
 
 ```bash
 optimize-anything optimize support_prompt.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Improve clarity, constraints, and tone" \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --budget 30
 ```
 
@@ -84,10 +84,10 @@ optimize-anything optimize support_prompt.txt \
 
 ```bash
 optimize-anything optimize prompt.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Generalize across user intents" \
   --dataset data/train.jsonl \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --budget 120 \
   --workers 6 \
   --cache --run-dir runs
@@ -101,11 +101,11 @@ With validation set:
 
 ```bash
 optimize-anything optimize prompt.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Generalize to unseen examples" \
   --dataset data/train.jsonl \
   --valset data/val.jsonl \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --budget 150 \
   --cache --cache-from runs/run-20260303-120000 \
   --run-dir runs
@@ -117,21 +117,23 @@ optimize-anything optimize prompt.txt \
 
 ```bash
 optimize-anything validate runs/run-20260303-130000/best_artifact.txt \
-  --providers openai/gpt-4o-mini anthropic/claude-sonnet-4-5 google/gemini-2.0-flash \
+  --providers openai/gpt-5.6-luna anthropic/claude-sonnet-5 gemini/gemini-3.6-flash \
   --objective "Score clarity, correctness, and robustness" \
   --intake-file intake.json
 ```
 
+Gemini uses LiteLLM's `gemini/` provider prefix.
+
 Sample output excerpt:
 
 ```json
 {
   "artifact_file": "runs/run-20260303-130000/best_artifact.txt",
   "objective": "Score clarity, correctness, and robustness",
   "providers": [
-    {"provider": "openai/gpt-4o-mini", "score": 0.82, "reasoning": "..."},
-    {"provider": "anthropic/claude-sonnet-4-5", "score": 0.79, "reasoning": "..."},
-    {"provider": "google/gemini-2.0-flash", "score": 0.81, "reasoning": "..."}
+    {"provider": "openai/gpt-5.6-luna", "score": 0.82, "reasoning": "..."},
+    {"provider": "anthropic/claude-sonnet-5", "score": 0.79, "reasoning": "..."},
+    {"provider": "gemini/gemini-3.6-flash", "score": 0.81, "reasoning": "..."}
   ],
   "mean": 0.8066666667,
   "stddev": 0.0152752523,
@@ -147,8 +149,8 @@ Sample output excerpt:
 ```bash
 optimize-anything optimize --no-seed \
   --objective "Draft a concise support policy prompt" \
-  --model openai/gpt-4o-mini \
-  --judge-model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
+  --judge-model openai/gpt-5.6-luna \
   --budget 25
 ```
 
@@ -161,7 +163,7 @@ optimize-anything optimize --no-seed \
 ```bash
 optimize-anything optimize strategy.md \
   --evaluator-command bash eval_unbounded.sh \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --objective "Maximize reward" \
   --score-range any
 ```

PROTOCOL.md

@@ -27,7 +27,7 @@ Protocol v2 extends the input payload with optional metadata and example context
 {
   "_protocol_version": 2,
   "candidate": "<text>",
-  "task_model": "openai/gpt-4o-mini",
+  "task_model": "openai/gpt-5.6-luna",
   "example": {
     "...": "dataset example object"
   }

README.md

@@ -18,9 +18,9 @@ optimize-anything generate-evaluator seed.txt \
 
 # 4) Optimize
 optimize-anything optimize seed.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Improve clarity and specificity" \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --budget 20 \
   --workers 4 \
   --cache \
@@ -30,6 +30,10 @@ optimize-anything optimize seed.txt \
 
 CLI stdout returns a JSON summary — see [Result Contract](#result-contract) for the full shape.
 
+### Model defaults
+
+The proposer defaults to `openai/gpt-5.6-sol` after checking `--model` and `OPTIMIZE_ANYTHING_MODEL`. Generated judge and composite evaluators default to `openai/gpt-5.6-luna`. LLM judge calls use each provider's sampling defaults unless an explicit temperature is supplied.
+
 ## How It Works
 
 optimize-anything runs a GEPA (Guided Evolutionary Prompt Algorithm) loop: propose → evaluate → reflect, repeating until budget is exhausted or early stopping kicks in.
@@ -55,11 +59,11 @@ Use `--dataset` for multi-task optimization (one evaluator call per example). Ad
 
 ```bash
 optimize-anything optimize prompt.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Generalize across customer request types" \
   --dataset data/train.jsonl \
   --valset data/val.jsonl \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --budget 120 --workers 6 --cache --run-dir runs
 ```
 
@@ -69,20 +73,22 @@ Cross-check one artifact with multiple judge providers:
 
 ```bash
 optimize-anything validate result.txt \
-  --providers openai/gpt-4o-mini anthropic/claude-sonnet-4-5 google/gemini-2.0-flash \
+  --providers openai/gpt-5.6-luna anthropic/claude-sonnet-5 gemini/gemini-3.6-flash \
   --objective "Score clarity, constraints, and robustness" \
   --intake-file intake.json
 ```
 
+Gemini uses LiteLLM's `gemini/` provider prefix.
+
 ### Seedless mode
 
 No seed file required; GEPA bootstraps from objective.
 
 ```bash
 optimize-anything optimize --no-seed \
   --objective "Draft a concise, testable API prompt" \
-  --model openai/gpt-4o-mini \
-  --judge-model openai/gpt-4o-mini
+  --model openai/gpt-5.6-sol \
+  --judge-model openai/gpt-5.6-luna
 ```
 
 `--no-seed` requires both `--objective` and `--model`.
@@ -110,7 +116,7 @@ to copying the prior fitness cache.
 ```bash
 optimize-anything optimize seed.txt \
   --evaluator-command bash eval.sh \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --budget 150 \
   --cache --cache-from runs/run-20260303-120000 \
   --run-dir runs \
@@ -126,7 +132,7 @@ For command/HTTP evaluators:
 ```bash
 optimize-anything optimize seed.txt \
   --evaluator-command bash eval.sh \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --score-range any
 ```
 
@@ -226,7 +232,7 @@ The plugin includes three skills that Claude Code can invoke automatically:
 /optimize-anything:quick prompt.txt "improve clarity and specificity"
   → runs analyze + optimize with sensible defaults, shows diff
 
-/optimize-anything:validate result.txt --providers openai/gpt-4o anthropic/claude-sonnet-4-5
+/optimize-anything:validate result.txt --providers openai/gpt-5.6-luna anthropic/claude-sonnet-5 gemini/gemini-3.6-flash
   → cross-checks the result with multiple judges
 ```
 
@@ -278,12 +284,12 @@ Pass it inline or from a file:
 # Inline
 optimize-anything optimize seed.txt \
   --intake-json '{"quality_dimensions": ["clarity", "specificity"], "hard_constraints": ["max 100 words"]}' \
-  --judge-model openai/gpt-4o-mini
+  --judge-model openai/gpt-5.6-luna
 
 # From file
 optimize-anything optimize seed.txt \
   --intake-file intake.json \
-  --judge-model openai/gpt-4o-mini
+  --judge-model openai/gpt-5.6-luna
 ```
 
 `optimize-anything intake` normalizes and validates these keys:

WALKTHROUGH.md

@@ -57,17 +57,17 @@ echo '{"_protocol_version":2,"candidate":"test"}' | python evaluators/eval.py
 
 ```bash
 uv run optimize-anything score seed.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Score clarity and constraints"
 ```
 
 ## Step 6: Optimize
 
 ```bash
 uv run optimize-anything optimize seed.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Improve clarity and specificity" \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --budget 40 \
   --cache --run-dir runs --diff
 ```
@@ -80,28 +80,30 @@ Notes:
 
 ```bash
 uv run optimize-anything score runs/run-<TIMESTAMP>/best_artifact.txt \
-  --judge-model anthropic/claude-sonnet-4-5 \
+  --judge-model anthropic/claude-sonnet-5 \
   --objective "Score clarity, constraints, and usefulness"
 ```
 
 ## Step 8: Validate with multiple providers (new `validate` flow)
 
 ```bash
 uv run optimize-anything validate runs/run-<TIMESTAMP>/best_artifact.txt \
-  --providers openai/gpt-4o-mini anthropic/claude-sonnet-4-5 google/gemini-2.0-flash \
+  --providers openai/gpt-5.6-luna anthropic/claude-sonnet-5 gemini/gemini-3.6-flash \
   --objective "Score clarity, constraints, and robustness"
 ```
 
+Gemini uses LiteLLM's `gemini/` provider prefix.
+
 ## Step 9: Iterate (dataset/generalization optional)
 
 For multi-task optimization:
 
 ```bash
 uv run optimize-anything optimize seed.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Generalize across support scenarios" \
   --dataset data/train.jsonl --valset data/val.jsonl \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --budget 120 --cache --run-dir runs
 ```
 
@@ -114,7 +116,7 @@ evaluators, cap concurrency with workers:
 uv run optimize-anything optimize seed.txt \
   --evaluator-command bash evaluators/eval.sh \
   --objective "Improve quality" \
-  --model openai/gpt-4o-mini \
+  --model openai/gpt-5.6-sol \
   --budget 100 \
   --workers 8
 ```

commands/analyze.md

@@ -10,14 +10,14 @@ Use an LLM to discover relevant quality dimensions for a given artifact and opti
 ## Usage
 
 ```bash
-optimize-anything analyze SEED_FILE --judge-model openai/gpt-4o-mini --objective "Quality"
+optimize-anything analyze SEED_FILE --judge-model openai/gpt-5.6-luna --objective "Quality"
 ```
 
 ## Example
 
 ```bash
 optimize-anything analyze my-prompt.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Score for clarity and persuasiveness"
 ```
 
@@ -26,7 +26,7 @@ After dimension discovery, proceed directly to optimization using the returned `
 
 ```bash
 optimize-anything optimize my-prompt.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Score for clarity and persuasiveness" \
   --intake-json '<paste intake_json from analyze>' \
   --budget 50 --diff --run-dir runs/ --early-stop

commands/quick.md

@@ -9,10 +9,10 @@ Run a no-questions-asked fast optimization.
 
 ## Behavior (do not ask follow-up questions)
 1. Run analysis to discover dimensions:
-   - `optimize-anything analyze <file> --judge-model openai/gpt-4o-mini --objective "<objective>"`
+   - `optimize-anything analyze <file> --judge-model openai/gpt-5.6-luna --objective "<objective>"`
    - If analyze fails, skip dimension discovery and run optimize with `--judge-model` directly using the objective as-is.
 2. Run optimization using LLM judge with:
-   - `--judge-model openai/gpt-4o-mini`
+   - `--judge-model openai/gpt-5.6-luna`
    - `--budget 50`
    - `--diff`
    - `--early-stop`

commands/score.md

@@ -11,7 +11,7 @@ Score a single artifact file using a command evaluator, HTTP evaluator, or LLM j
 
 ```
 optimize-anything score SEED_FILE --evaluator-command bash eval.sh
-optimize-anything score SEED_FILE --judge-model openai/gpt-4o-mini --objective "Score clarity"
+optimize-anything score SEED_FILE --judge-model openai/gpt-5.6-luna --objective "Score clarity"
 ```
 
 ## Example
@@ -21,7 +21,7 @@ optimize-anything score my-prompt.txt \
   --evaluator-command bash evaluators/clarity.sh
 
 optimize-anything score my-prompt.txt \
-  --judge-model openai/gpt-4o-mini \
+  --judge-model openai/gpt-5.6-luna \
   --objective "Score for persuasiveness"
 ```