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feat: add multi-provider AI system with model hint optimization 

Major automation enhancements for flexible AI provider configuration:

1. Add config/ai.yml - Centralized AI configuration
   - Three command chains: default, fast, quality
   - Multi-provider fallback (Claude → Codex → Gemini)
   - Configurable per optimization level
   - Sentinel token configuration

2. Extend automation/ai_config.py
   - Add RunnerSettings with three chain support
   - Add get_chain_for_hint() method
   - Load and validate all three command chains
   - Proper fallback to defaults

3. Update automation/runner.py
   - Read model_hint from .ai-rules.yml
   - Pass model_hint to generate_output()
   - Support output_type hint overrides

4. Update automation/patcher.py
   - Add model_hint parameter throughout pipeline
   - Inject TASK COMPLEXITY hint into prompts
   - ModelConfig.get_commands_for_hint() selects chain
   - Fallback mechanism tries all commands in chain

5. Add design discussion stage to features.ai-rules.yml
   - New design_gate_writer rule (model_hint: fast)
   - New design_discussion_writer rule (model_hint: quality)
   - Update feature_request to create design gate
   - Update feature_discussion to create design gate
   - Add design.discussion.md file associations
   - Proper status transitions: READY_FOR_DESIGN → READY_FOR_IMPLEMENTATION

6. Add assets/templates/design.discussion.md
   - Template for Stage 3 design discussions
   - META header with tokens support
   - Design goals and participation instructions

7. Update tools/setup_claude_agents.sh
   - Agent descriptions reference TASK COMPLEXITY hint
   - cdev-patch: "MUST BE USED when TASK COMPLEXITY is FAST"
   - cdev-patch-quality: "MUST BE USED when TASK COMPLEXITY is QUALITY"

8. Fix assets/hooks/pre-commit
   - Correct template path comment (process/templates not assets/templates)

9. Update tools/mock_ai.sh
   - Log prompts to /tmp/mock_ai_prompts.log for debugging

Impact:
- Users can configure AI providers via config/ai.yml
- Automatic fallback between Claude, Codex, Gemini
- Fast models for simple tasks (vote counting, gate checks)
- Quality models for complex tasks (design, implementation planning)
- Reduced costs through intelligent model selection
- Design stage now properly integrated into workflow

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
rob 2025-11-01 21:43:13 -03:00
parent 0e83b6cf88
commit 372d24b30d
8 changed files with 201 additions and 21 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
assets/hooks/pre-commit
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@ -88,13 +88,13 @@ check_append_only_discussion() {
# - {discussion}.sum.md (e.g., "feature.discussion.sum.md")
# - Auto-stages the new file for inclusion in the commit
#
# Template location: assets/templates/feature.discussion.sum.md
# Template location: process/templates/feature.discussion.sum.md
# ============================================================================
ensure_summary() {
local disc="$1"
local dir; dir="$(dirname "$disc")"
local sum="$dir/$(basename "$disc" .md).sum.md"
local template_path="assets/templates/feature.discussion.sum.md"
local template_path="process/templates/feature.discussion.sum.md"
# Only create if it doesn't exist
if [ ! -f "$sum" ]; then

24
assets/templates/design.discussion.md Normal file
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@ -0,0 +1,24 @@
<!--META
{
"kind": "discussion",
"tokens": ["FeatureId", "CreatedDate"]
}
-->
## Summary
Design discussion for {FeatureId}. This stage focuses on architecture, technology choices, and technical implementation approach.
## Design Goals
- Define system architecture and component interactions
- Choose appropriate technologies and frameworks
- Identify data models and API contracts
- Document trade-offs and decision rationale
- Establish measurable acceptance criteria
## Participation
- Append your input at the end as: "YourName: your comment…"
- Every comment must end with a vote line: "VOTE: READY|CHANGES|REJECT"
- Focus on: architecture, scalability, maintainability, technical risks
## Design Artifacts
The AI will maintain `design/design.md` based on this discussion.

113
assets/templates/rules/features.ai-rules.yml
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@ -4,6 +4,8 @@ file_associations:
"request.md": "feature_request"
"feature.discussion.md": "feature_discussion_update"
"feature.discussion.sum.md": "discussion_summary"
"design.discussion.md": "design_discussion_update"
"design.discussion.sum.md": "discussion_summary"
"implementation.discussion.md": "implementation_discussion_update"
"implementation.discussion.sum.md": "discussion_summary"
@ -13,15 +15,27 @@ rules:
feature_discussion:
path: "Docs/features/{feature_id}/discussions/feature.discussion.md"
output_type: "feature_discussion_writer"
implementation_gate:
path: "Docs/features/{feature_id}/discussions/implementation.discussion.md"
output_type: "implementation_gate_writer"
design_gate:
path: "Docs/features/{feature_id}/discussions/design.discussion.md"
output_type: "design_gate_writer"
feature_discussion_update:
outputs:
self_append:
path: "{path}"
output_type: "feature_discussion_writer"
design_gate:
path: "Docs/features/{feature_id}/discussions/design.discussion.md"
output_type: "design_gate_writer"
design_discussion_update:
outputs:
self_append:
path: "{path}"
output_type: "design_discussion_writer"
implementation_gate:
path: "Docs/features/{feature_id}/discussions/implementation.discussion.md"
output_type: "implementation_gate_writer"
implementation_discussion_update:
outputs:
@ -38,6 +52,7 @@ rules:
If missing, create summary with standard markers. Only modify the content between the SUMMARY markers.
feature_discussion_writer:
model_hint: fast # Simple vote counting and comment appending - use fast models
instruction: |
You maintain the feature discussion derived from the feature request.
@ -81,7 +96,7 @@ rules:
* Integer `N` → require at least `N` votes.
* `"all"` → require a vote from every eligible voter (and none opposing for READY).
* If there are no eligible voters the `"all"` condition never passes.
- Promotion (`status: READY_FOR_IMPLEMENTATION`):
- Promotion (`status: READY_FOR_DESIGN`):
* READY threshold satisfied AND REJECT threshold NOT satisfied.
- Rejection (`status: FEATURE_REJECTED`):
* REJECT threshold satisfied AND READY threshold NOT satisfied.
@ -92,14 +107,99 @@ rules:
- Emit a single unified diff touching only this discussion file.
- Keep diffs minimal (append-only plus header adjustments).
design_gate_writer:
model_hint: fast # Simple gate checking and file creation - use fast models
instruction: |
Create or update the design discussion located at the path provided.
Creation criteria:
- Locate the sibling feature discussion (`feature.discussion.md`).
- Read its YAML header. Only create/update this design file when that header shows `status: READY_FOR_DESIGN`.
- If the status is `OPEN` or `FEATURE_REJECTED`, produce **no diff**.
When creating the design discussion:
---
type: design-discussion
stage: design
status: OPEN
feature_id: <same feature id as the source request>
created: <today in YYYY-MM-DD>
promotion_rule:
allow_agent_votes: false
ready_min_eligible_votes: 2
reject_min_eligible_votes: 1
participation:
instructions: |
- Append your input at the end as: "YourName: your comment…"
- Every comment must end with a vote line: "VOTE: READY|CHANGES|REJECT"
- Agents/bots must prefix names with "AI_". Example: "AI_Claude: … VOTE: CHANGES"
voting:
values: [READY, CHANGES, REJECT]
---
Sections to include:
## Summary – brief overview of design goals
## Architecture – component interactions, system structure
## Technology Choices – frameworks, libraries, rationale
## Data Models – schemas, API contracts
## Risks / Trade-offs – known concerns or alternatives
Subsequent updates:
- Keep diffs minimal, amending sections in place.
- Do not change status automatically; human votes or policies will manage it.
Output a unified diff for this file only. If no changes are required, emit nothing.
design_discussion_writer:
model_hint: quality # Complex architecture and design work - use quality models
instruction: |
You maintain the design discussion derived from the feature discussion.
If the discussion file is missing:
- Create it with the same YAML header structure as feature discussions (see design_gate_writer).
- Add sections:
## Summary – brief overview linking to feature request
## Architecture – system design and component interactions
## Technology Stack – chosen technologies and rationale
## Data Models & APIs – schemas, contracts, endpoints
## Acceptance Criteria – measurable design quality gates
## Risks / Trade-offs – known concerns or alternatives
- Append an initial comment signed `AI_Claude:` proposing architecture and ending with a vote line.
If the discussion exists:
- Append a concise AI_Claude comment at the end proposing design refinements/questions.
- Always end your comment with exactly one vote line: `VOTE: READY`, `VOTE: CHANGES`, or `VOTE: REJECT`.
Voting & promotion rules:
- Read `promotion_rule` from the header (same logic as feature_discussion_writer).
- Eligible voters:
* allow_agent_votes=false → ignore names starting with "AI_" (case-insensitive)
* allow_agent_votes=true → everyone counts
- For each participant the most recent vote wins. A vote is a line matching `VOTE:\s*(READY|CHANGES|REJECT)`.
- Count READY and REJECT votes among eligible voters. CHANGES is neutral.
- Threshold interpretation:
* Integer `N` → require at least `N` votes.
* `"all"` → require a vote from every eligible voter (and none opposing for READY).
* If there are no eligible voters the `"all"` condition never passes.
- Promotion (`status: READY_FOR_IMPLEMENTATION`):
* READY threshold satisfied AND REJECT threshold NOT satisfied.
- Rejection (`status: DESIGN_REJECTED`):
* REJECT threshold satisfied AND READY threshold NOT satisfied.
- Otherwise keep `status: OPEN`.
- When the status changes, update the header and state the outcome explicitly in your comment.
Output requirements:
- Emit a single unified diff touching only this discussion file.
- Keep diffs minimal (append-only plus header adjustments).
implementation_gate_writer:
model_hint: fast # Simple gate checking and file creation - use fast models
instruction: |
Create or update the implementation discussion located at the path provided.
Creation criteria:
- Locate the sibling feature discussion (`feature.discussion.md`).
- Locate the sibling design discussion (`design.discussion.md`).
- Read its YAML header. Only create/update this implementation file when that header shows `status: READY_FOR_IMPLEMENTATION`.
- If the status is `OPEN` or `FEATURE_REJECTED`, produce **no diff**.
- If the status is `OPEN` or `DESIGN_REJECTED`, produce **no diff**.
When creating the implementation discussion:
---
@ -122,6 +222,7 @@ rules:
Output a unified diff for this file only. If no changes are required, emit nothing.
impl_discussion_writer:
model_hint: quality # Implementation planning requires careful task breakdown - use quality models
instruction: |
Append planning updates to the implementation discussion in an incremental, checklist-driven style.
- Work within the existing sections (Scope, Tasks, Acceptance Criteria, Risks / Notes).

39
automation/ai_config.py
View File

@ -38,8 +38,27 @@ def parse_command_chain(raw: str | None) -> List[str]:
@dataclass
class RunnerSettings:
command_chain: List[str]
command_chain_fast: List[str]
command_chain_quality: List[str]
sentinel: str
def get_chain_for_hint(self, hint: str) -> List[str]:
"""
Return the appropriate command chain based on the model hint.
Args:
hint: 'fast', 'quality', or empty string
Returns:
The appropriate command chain list
"""
if hint == "fast" and self.command_chain_fast:
return self.command_chain_fast
elif hint == "quality" and self.command_chain_quality:
return self.command_chain_quality
else:
return self.command_chain
@dataclass
class RambleSettings:
@ -80,6 +99,7 @@ def load_ai_settings(repo_root: Path) -> AISettings:
if not isinstance(runner_data, dict):
runner_data = {}
# Load default command chain
chain = runner_data.get("command_chain", [])
if not isinstance(chain, list):
chain = []
@ -87,6 +107,18 @@ def load_ai_settings(repo_root: Path) -> AISettings:
if not command_chain:
command_chain = DEFAULT_COMMAND_CHAIN.copy()
# Load fast-optimized command chain (optional)
chain_fast = runner_data.get("command_chain_fast", [])
if not isinstance(chain_fast, list):
chain_fast = []
command_chain_fast = [str(entry).strip() for entry in chain_fast if str(entry).strip()]
# Load quality-optimized command chain (optional)
chain_quality = runner_data.get("command_chain_quality", [])
if not isinstance(chain_quality, list):
chain_quality = []
command_chain_quality = [str(entry).strip() for entry in chain_quality if str(entry).strip()]
sentinel = runner_data.get("sentinel")
if not isinstance(sentinel, str) or not sentinel.strip():
sentinel = DEFAULT_SENTINEL
@ -104,7 +136,12 @@ def load_ai_settings(repo_root: Path) -> AISettings:
providers = {}
return AISettings(
runner=RunnerSettings(command_chain=command_chain, sentinel=sentinel),
runner=RunnerSettings(
command_chain=command_chain,
command_chain_fast=command_chain_fast,
command_chain_quality=command_chain_quality,
sentinel=sentinel,
),
ramble=RambleSettings(
default_provider=default_provider,
providers={str(k): v for k, v in providers.items() if isinstance(v, dict)},

5
automation/runner.py
View File

@ -90,12 +90,16 @@ def process(repo_root: Path, rules: RulesConfig, model: ModelConfig) -> int:
# fallback.
instruction = output_cfg.get("instruction", "") or source_instruction
append = output_cfg.get("instruction_append", "")
model_hint = rule_config.get("model_hint", "")
output_type = output_cfg.get("output_type")
if output_type:
extra = rules.cascade_for(output_rel, output_type)
instruction = extra.get("instruction", instruction)
append = extra.get("instruction_append", append)
# Output type can also override model hint
if "model_hint" in extra:
model_hint = extra["model_hint"]
final_instruction = merge_instructions(source_instruction, instruction, append)
@ -108,6 +112,7 @@ def process(repo_root: Path, rules: RulesConfig, model: ModelConfig) -> int:
source_rel=src_rel,
output_rel=output_rel,
instruction=final_instruction,
model_hint=model_hint,
)
except Exception as exc: # pragma: no cover - defensive
print(f"[runner] error generating {output_rel}: {exc}", file=sys.stderr)

24
config/ai.yml
View File

@ -15,16 +15,26 @@
version: 1
runner:
# Default command chain (balanced speed/quality)
command_chain:
# Anthropic Claude CLI with custom subagent (fast Haiku model)
# Create ~/.claude/agents/cdev-patch.md once with: ./tools/setup_claude_agents.sh
- "claude -p"
# OpenAI Codex CLI with GPT-5 (default model, good balance)
# Authenticate once with: codex (follow prompts to sign in)
- "claude -p" # Auto-selects subagent based on TASK COMPLEXITY hint
- "codex --model gpt-5"
# Google Gemini 2.5 Flash (fast, 1M context, free tier: 60 req/min)
# Authenticate once with: gemini (sign in with Google account)
- "gemini --model gemini-2.5-flash"
# Fast command chain (optimized for speed/cost)
# Used when model_hint: fast in .ai-rules.yml
command_chain_fast:
- "claude -p" # Will select cdev-patch (Haiku) when TASK COMPLEXITY: FAST
- "codex --model gpt-5-mini"
- "gemini --model gemini-2.5-flash"
# Quality command chain (optimized for complex tasks)
# Used when model_hint: quality in .ai-rules.yml
command_chain_quality:
- "claude -p" # Will select cdev-patch-quality (Sonnet) when TASK COMPLEXITY: QUALITY
- "codex --model o3"
- "gemini --model gemini-2.5-pro"
sentinel: "CASCADINGDEV_NO_CHANGES"
ramble:

9
tools/mock_ai.sh
View File

@ -1,9 +1,12 @@
#!/bin/bash
# Mock AI that returns a valid patch for testing
# Read the prompt from stdin (we ignore it for mock)
# Use timeout to avoid hanging
timeout 1 cat > /dev/null 2>/dev/null || true
# Read the prompt from stdin and log it for verification
# Save to /tmp/mock_ai_prompts.log
PROMPT_LOG="/tmp/mock_ai_prompts.log"
echo "=== MOCK AI INVOCATION $(date) ===" >> "$PROMPT_LOG"
timeout 1 cat | tee -a "$PROMPT_LOG" > /dev/null 2>/dev/null || true
echo "" >> "$PROMPT_LOG"
# Extract output path from arguments if provided
OUTPUT_PATH="${1:-feature.discussion.md}"

4
tools/setup_claude_agents.sh
View File

@ -29,8 +29,8 @@ diffs wrapped between <<<AI_DIFF_START>>> and <<<AI_DIFF_END>>> markers.
EOF
}
create_agent "cdev-patch.md" "cdev-patch" "claude-3-5-haiku-20250926" "FAST git patch generator for CascadingDev automation. MUST BE USED when prompted to create patches."
create_agent "cdev-patch-quality.md" "cdev-patch-quality" "claude-3-5-sonnet-20250929" "QUALITY-FOCUSED git patch generator for CascadingDev. Use when task is complex or requires deep reasoning."
create_agent "cdev-patch.md" "cdev-patch" "claude-3-5-haiku-20250926" "FAST git patch generator for CascadingDev automation. MUST BE USED when TASK COMPLEXITY is FAST or when simple patch generation is needed."
create_agent "cdev-patch-quality.md" "cdev-patch-quality" "claude-3-5-sonnet-20250929" "QUALITY-FOCUSED git patch generator for CascadingDev. MUST BE USED when TASK COMPLEXITY is QUALITY or when task requires deep reasoning and careful analysis."
cat <<'EOF'
[✓] Claude subagents written to ~/.claude/agents/