feat(roles): add claude_cli provider — run kernel via Claude Code CLI - #38

Merged
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider
May 26, 2026
Merged

feat(roles): add claude_cli provider — run kernel via Claude Code CLI#38
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider

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Summary

Adds a third LLM provider alongside anthropic and openai. Set llm.provider: claude_cli in evolution.yml to drive planner / evaluator / goal_evaluator / strategist through the local claude binary instead of an API key.

Why: the bundled examples (oss_fix_demo) already use claude CLI for the executor, but the planning roles still required an Anthropic API key. With this, a Claude Pro subscription is enough to run the full kernel — drops the bar for evaluators / readers who try the README quickstart.

Implementation

  • Each of the four LLM-driven roles gets a _call_claude_cli(prompt, model) that shells out to claude -p --model <model> --output-format json and reads result from the JSON envelope.
  • planner.py and evaluator.py additionally read total_cost_usd and usage.{input,output}_tokens from the JSON so the kernel-level cost guards keep working (no free pass through cost accounting just because there's no API bill).
  • All four roles route through the existing provider switch; default behavior unchanged.
  • No new dependency — uses stdlib subprocess + json.

Compatibility

Opt-in only. Existing configs continue to work bit-for-bit. Targets a v1.2.0 minor release.

Test plan

  • CI green on this PR
  • manual: an evolution.yml with llm.provider: claude_cli runs end-to-end against a target repo using only Claude Pro (no ANTHROPIC_API_KEY)
  • verify total_cost_usd numbers from claude -p flow into runs/NNNN/decision.json cost field
  • (post-merge) cut v1.2.0 tag + GitHub Release + twine upload

Adds a third LLM provider alongside anthropic and openai. Set
`llm.provider: claude_cli` in evolution.yml to drive planner / evaluator
/ goal_evaluator / strategist through the local `claude` binary instead
of an API key.
Why: the bundled examples (oss_fix_demo) already use claude CLI for the
executor, but the planning roles still required an Anthropic API key.
With this, a Claude Pro subscription is enough to run the full kernel —
lowers the bar for evaluators / readers who try the README quickstart.
Implementation:
- Each role gets a `_call_claude_cli(prompt, model)` that shells out to
`claude -p --model <model> --output-format json`, reads `result` from
the JSON envelope. Planner / evaluator also read `total_cost_usd` and
total tokens so the kernel-level cost guards keep working.
- All four roles route through the existing `provider` switch; default
behavior unchanged (provider defaults stay anthropic / openai).
- No new dependency — uses stdlib subprocess + json.
Defaults: opt-in only. Existing configs continue to work bit-for-bit.
Targets a v1.2.0 minor release.
CopilotAI review requested due to automatic review settings May 26, 2026 08:55

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Pull request overview

Adds a new opt-in LLM provider (claude_cli) so the kernel’s planning/evaluation roles can run via the local claude CLI (instead of requiring API keys), while still attempting to propagate token/cost accounting where available.

Changes:

  • Added claude_cli provider branches to planner, evaluator, goal_evaluator, and strategist roles.
  • Implemented Claude CLI subprocess calls using --output-format json, parsing result (and in planner/evaluator, token usage + total_cost_usd).
  • Routed the new provider through the existing llm.provider switch in each role.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 4 comments.

FileDescription
roles/strategist.pyAdds claude_cli CLI invocation path for strategy generation.
roles/planner.pyAdds claude_cli path returning text + tokens + cost for cost guards.
roles/goal_evaluator.pyAdds claude_cli path for goal completion evaluation.
roles/evaluator.pyAdds claude_cli handling in _call_llm, including usage/cost parsing.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadroles/strategist.py
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/planner.py
Comment on lines +55 to +60
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/evaluator.py
Comment on lines +46 to +51
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
@Protocol-zero-0
Protocol-zero-0 merged commit fd0d34a into mainMay 26, 2026
8 checks passed
@Protocol-zero-0
Protocol-zero-0 deleted the feat/claude-cli-provider branch May 26, 2026 09:06
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@Protocol-zero-0
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

feat(roles): add claude_cli provider — run kernel via Claude Code CLI - #38

Merged
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider
May 26, 2026
Merged

feat(roles): add claude_cli provider — run kernel via Claude Code CLI#38
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider

Conversation

@Protocol-zero-0

Copy link
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Owner

Summary

Adds a third LLM provider alongside anthropic and openai. Set llm.provider: claude_cli in evolution.yml to drive planner / evaluator / goal_evaluator / strategist through the local claude binary instead of an API key.

Why: the bundled examples (oss_fix_demo) already use claude CLI for the executor, but the planning roles still required an Anthropic API key. With this, a Claude Pro subscription is enough to run the full kernel — drops the bar for evaluators / readers who try the README quickstart.

Implementation

  • Each of the four LLM-driven roles gets a _call_claude_cli(prompt, model) that shells out to claude -p --model <model> --output-format json and reads result from the JSON envelope.
  • planner.py and evaluator.py additionally read total_cost_usd and usage.{input,output}_tokens from the JSON so the kernel-level cost guards keep working (no free pass through cost accounting just because there's no API bill).
  • All four roles route through the existing provider switch; default behavior unchanged.
  • No new dependency — uses stdlib subprocess + json.

Compatibility

Opt-in only. Existing configs continue to work bit-for-bit. Targets a v1.2.0 minor release.

Test plan

  • CI green on this PR
  • manual: an evolution.yml with llm.provider: claude_cli runs end-to-end against a target repo using only Claude Pro (no ANTHROPIC_API_KEY)
  • verify total_cost_usd numbers from claude -p flow into runs/NNNN/decision.json cost field
  • (post-merge) cut v1.2.0 tag + GitHub Release + twine upload

Adds a third LLM provider alongside anthropic and openai. Set
`llm.provider: claude_cli` in evolution.yml to drive planner / evaluator
/ goal_evaluator / strategist through the local `claude` binary instead
of an API key.
Why: the bundled examples (oss_fix_demo) already use claude CLI for the
executor, but the planning roles still required an Anthropic API key.
With this, a Claude Pro subscription is enough to run the full kernel —
lowers the bar for evaluators / readers who try the README quickstart.
Implementation:
- Each role gets a `_call_claude_cli(prompt, model)` that shells out to
`claude -p --model <model> --output-format json`, reads `result` from
the JSON envelope. Planner / evaluator also read `total_cost_usd` and
total tokens so the kernel-level cost guards keep working.
- All four roles route through the existing `provider` switch; default
behavior unchanged (provider defaults stay anthropic / openai).
- No new dependency — uses stdlib subprocess + json.
Defaults: opt-in only. Existing configs continue to work bit-for-bit.
Targets a v1.2.0 minor release.
CopilotAI review requested due to automatic review settings May 26, 2026 08:55

CopilotAI left a comment

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Choose a reason for hiding this comment

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Pull request overview

Adds a new opt-in LLM provider (claude_cli) so the kernel’s planning/evaluation roles can run via the local claude CLI (instead of requiring API keys), while still attempting to propagate token/cost accounting where available.

Changes:

  • Added claude_cli provider branches to planner, evaluator, goal_evaluator, and strategist roles.
  • Implemented Claude CLI subprocess calls using --output-format json, parsing result (and in planner/evaluator, token usage + total_cost_usd).
  • Routed the new provider through the existing llm.provider switch in each role.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 4 comments.

FileDescription
roles/strategist.pyAdds claude_cli CLI invocation path for strategy generation.
roles/planner.pyAdds claude_cli path returning text + tokens + cost for cost guards.
roles/goal_evaluator.pyAdds claude_cli path for goal completion evaluation.
roles/evaluator.pyAdds claude_cli handling in _call_llm, including usage/cost parsing.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadroles/strategist.py
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/planner.py
Comment on lines +55 to +60
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/evaluator.py
Comment on lines +46 to +51
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
@Protocol-zero-0
Protocol-zero-0 merged commit fd0d34a into mainMay 26, 2026
8 checks passed
@Protocol-zero-0
Protocol-zero-0 deleted the feat/claude-cli-provider branch May 26, 2026 09:06
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2 participants

@Protocol-zero-0
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

feat(roles): add claude_cli provider — run kernel via Claude Code CLI - #38

Merged
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider
May 26, 2026
Merged

feat(roles): add claude_cli provider — run kernel via Claude Code CLI#38
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider

Conversation

@Protocol-zero-0

Copy link
Copy Markdown
Owner

Summary

Adds a third LLM provider alongside anthropic and openai. Set llm.provider: claude_cli in evolution.yml to drive planner / evaluator / goal_evaluator / strategist through the local claude binary instead of an API key.

Why: the bundled examples (oss_fix_demo) already use claude CLI for the executor, but the planning roles still required an Anthropic API key. With this, a Claude Pro subscription is enough to run the full kernel — drops the bar for evaluators / readers who try the README quickstart.

Implementation

  • Each of the four LLM-driven roles gets a _call_claude_cli(prompt, model) that shells out to claude -p --model <model> --output-format json and reads result from the JSON envelope.
  • planner.py and evaluator.py additionally read total_cost_usd and usage.{input,output}_tokens from the JSON so the kernel-level cost guards keep working (no free pass through cost accounting just because there's no API bill).
  • All four roles route through the existing provider switch; default behavior unchanged.
  • No new dependency — uses stdlib subprocess + json.

Compatibility

Opt-in only. Existing configs continue to work bit-for-bit. Targets a v1.2.0 minor release.

Test plan

  • CI green on this PR
  • manual: an evolution.yml with llm.provider: claude_cli runs end-to-end against a target repo using only Claude Pro (no ANTHROPIC_API_KEY)
  • verify total_cost_usd numbers from claude -p flow into runs/NNNN/decision.json cost field
  • (post-merge) cut v1.2.0 tag + GitHub Release + twine upload

Adds a third LLM provider alongside anthropic and openai. Set
`llm.provider: claude_cli` in evolution.yml to drive planner / evaluator
/ goal_evaluator / strategist through the local `claude` binary instead
of an API key.
Why: the bundled examples (oss_fix_demo) already use claude CLI for the
executor, but the planning roles still required an Anthropic API key.
With this, a Claude Pro subscription is enough to run the full kernel —
lowers the bar for evaluators / readers who try the README quickstart.
Implementation:
- Each role gets a `_call_claude_cli(prompt, model)` that shells out to
`claude -p --model <model> --output-format json`, reads `result` from
the JSON envelope. Planner / evaluator also read `total_cost_usd` and
total tokens so the kernel-level cost guards keep working.
- All four roles route through the existing `provider` switch; default
behavior unchanged (provider defaults stay anthropic / openai).
- No new dependency — uses stdlib subprocess + json.
Defaults: opt-in only. Existing configs continue to work bit-for-bit.
Targets a v1.2.0 minor release.
CopilotAI review requested due to automatic review settings May 26, 2026 08:55

CopilotAI left a comment

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Pull request overview

Adds a new opt-in LLM provider (claude_cli) so the kernel’s planning/evaluation roles can run via the local claude CLI (instead of requiring API keys), while still attempting to propagate token/cost accounting where available.

Changes:

  • Added claude_cli provider branches to planner, evaluator, goal_evaluator, and strategist roles.
  • Implemented Claude CLI subprocess calls using --output-format json, parsing result (and in planner/evaluator, token usage + total_cost_usd).
  • Routed the new provider through the existing llm.provider switch in each role.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 4 comments.

FileDescription
roles/strategist.pyAdds claude_cli CLI invocation path for strategy generation.
roles/planner.pyAdds claude_cli path returning text + tokens + cost for cost guards.
roles/goal_evaluator.pyAdds claude_cli path for goal completion evaluation.
roles/evaluator.pyAdds claude_cli handling in _call_llm, including usage/cost parsing.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadroles/strategist.py
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/planner.py
Comment on lines +55 to +60
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/evaluator.py
Comment on lines +46 to +51
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
@Protocol-zero-0
Protocol-zero-0 merged commit fd0d34a into mainMay 26, 2026
8 checks passed
@Protocol-zero-0
Protocol-zero-0 deleted the feat/claude-cli-provider branch May 26, 2026 09:06
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Successfully merging this pull request may close these issues.

2 participants

@Protocol-zero-0
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

feat(roles): add claude_cli provider — run kernel via Claude Code CLI - #38

Merged
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider
May 26, 2026
Merged

feat(roles): add claude_cli provider — run kernel via Claude Code CLI#38
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider

Conversation

@Protocol-zero-0

Copy link
Copy Markdown
Owner

Summary

Adds a third LLM provider alongside anthropic and openai. Set llm.provider: claude_cli in evolution.yml to drive planner / evaluator / goal_evaluator / strategist through the local claude binary instead of an API key.

Why: the bundled examples (oss_fix_demo) already use claude CLI for the executor, but the planning roles still required an Anthropic API key. With this, a Claude Pro subscription is enough to run the full kernel — drops the bar for evaluators / readers who try the README quickstart.

Implementation

  • Each of the four LLM-driven roles gets a _call_claude_cli(prompt, model) that shells out to claude -p --model <model> --output-format json and reads result from the JSON envelope.
  • planner.py and evaluator.py additionally read total_cost_usd and usage.{input,output}_tokens from the JSON so the kernel-level cost guards keep working (no free pass through cost accounting just because there's no API bill).
  • All four roles route through the existing provider switch; default behavior unchanged.
  • No new dependency — uses stdlib subprocess + json.

Compatibility

Opt-in only. Existing configs continue to work bit-for-bit. Targets a v1.2.0 minor release.

Test plan

  • CI green on this PR
  • manual: an evolution.yml with llm.provider: claude_cli runs end-to-end against a target repo using only Claude Pro (no ANTHROPIC_API_KEY)
  • verify total_cost_usd numbers from claude -p flow into runs/NNNN/decision.json cost field
  • (post-merge) cut v1.2.0 tag + GitHub Release + twine upload

Adds a third LLM provider alongside anthropic and openai. Set
`llm.provider: claude_cli` in evolution.yml to drive planner / evaluator
/ goal_evaluator / strategist through the local `claude` binary instead
of an API key.
Why: the bundled examples (oss_fix_demo) already use claude CLI for the
executor, but the planning roles still required an Anthropic API key.
With this, a Claude Pro subscription is enough to run the full kernel —
lowers the bar for evaluators / readers who try the README quickstart.
Implementation:
- Each role gets a `_call_claude_cli(prompt, model)` that shells out to
`claude -p --model <model> --output-format json`, reads `result` from
the JSON envelope. Planner / evaluator also read `total_cost_usd` and
total tokens so the kernel-level cost guards keep working.
- All four roles route through the existing `provider` switch; default
behavior unchanged (provider defaults stay anthropic / openai).
- No new dependency — uses stdlib subprocess + json.
Defaults: opt-in only. Existing configs continue to work bit-for-bit.
Targets a v1.2.0 minor release.
CopilotAI review requested due to automatic review settings May 26, 2026 08:55

CopilotAI left a comment

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Pull request overview

Adds a new opt-in LLM provider (claude_cli) so the kernel’s planning/evaluation roles can run via the local claude CLI (instead of requiring API keys), while still attempting to propagate token/cost accounting where available.

Changes:

  • Added claude_cli provider branches to planner, evaluator, goal_evaluator, and strategist roles.
  • Implemented Claude CLI subprocess calls using --output-format json, parsing result (and in planner/evaluator, token usage + total_cost_usd).
  • Routed the new provider through the existing llm.provider switch in each role.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 4 comments.

FileDescription
roles/strategist.pyAdds claude_cli CLI invocation path for strategy generation.
roles/planner.pyAdds claude_cli path returning text + tokens + cost for cost guards.
roles/goal_evaluator.pyAdds claude_cli path for goal completion evaluation.
roles/evaluator.pyAdds claude_cli handling in _call_llm, including usage/cost parsing.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadroles/strategist.py
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/planner.py
Comment on lines +55 to +60
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/evaluator.py
Comment on lines +46 to +51
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
@Protocol-zero-0
Protocol-zero-0 merged commit fd0d34a into mainMay 26, 2026
8 checks passed
@Protocol-zero-0
Protocol-zero-0 deleted the feat/claude-cli-provider branch May 26, 2026 09:06
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@Protocol-zero-0
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

feat(roles): add claude_cli provider — run kernel via Claude Code CLI - #38

Merged
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider
May 26, 2026
Merged

feat(roles): add claude_cli provider — run kernel via Claude Code CLI#38
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider

Conversation

@Protocol-zero-0

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Summary

Adds a third LLM provider alongside anthropic and openai. Set llm.provider: claude_cli in evolution.yml to drive planner / evaluator / goal_evaluator / strategist through the local claude binary instead of an API key.

Why: the bundled examples (oss_fix_demo) already use claude CLI for the executor, but the planning roles still required an Anthropic API key. With this, a Claude Pro subscription is enough to run the full kernel — drops the bar for evaluators / readers who try the README quickstart.

Implementation

  • Each of the four LLM-driven roles gets a _call_claude_cli(prompt, model) that shells out to claude -p --model <model> --output-format json and reads result from the JSON envelope.
  • planner.py and evaluator.py additionally read total_cost_usd and usage.{input,output}_tokens from the JSON so the kernel-level cost guards keep working (no free pass through cost accounting just because there's no API bill).
  • All four roles route through the existing provider switch; default behavior unchanged.
  • No new dependency — uses stdlib subprocess + json.

Compatibility

Opt-in only. Existing configs continue to work bit-for-bit. Targets a v1.2.0 minor release.

Test plan

  • CI green on this PR
  • manual: an evolution.yml with llm.provider: claude_cli runs end-to-end against a target repo using only Claude Pro (no ANTHROPIC_API_KEY)
  • verify total_cost_usd numbers from claude -p flow into runs/NNNN/decision.json cost field
  • (post-merge) cut v1.2.0 tag + GitHub Release + twine upload

Adds a third LLM provider alongside anthropic and openai. Set
`llm.provider: claude_cli` in evolution.yml to drive planner / evaluator
/ goal_evaluator / strategist through the local `claude` binary instead
of an API key.
Why: the bundled examples (oss_fix_demo) already use claude CLI for the
executor, but the planning roles still required an Anthropic API key.
With this, a Claude Pro subscription is enough to run the full kernel —
lowers the bar for evaluators / readers who try the README quickstart.
Implementation:
- Each role gets a `_call_claude_cli(prompt, model)` that shells out to
`claude -p --model <model> --output-format json`, reads `result` from
the JSON envelope. Planner / evaluator also read `total_cost_usd` and
total tokens so the kernel-level cost guards keep working.
- All four roles route through the existing `provider` switch; default
behavior unchanged (provider defaults stay anthropic / openai).
- No new dependency — uses stdlib subprocess + json.
Defaults: opt-in only. Existing configs continue to work bit-for-bit.
Targets a v1.2.0 minor release.
CopilotAI review requested due to automatic review settings May 26, 2026 08:55

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Pull request overview

Adds a new opt-in LLM provider (claude_cli) so the kernel’s planning/evaluation roles can run via the local claude CLI (instead of requiring API keys), while still attempting to propagate token/cost accounting where available.

Changes:

  • Added claude_cli provider branches to planner, evaluator, goal_evaluator, and strategist roles.
  • Implemented Claude CLI subprocess calls using --output-format json, parsing result (and in planner/evaluator, token usage + total_cost_usd).
  • Routed the new provider through the existing llm.provider switch in each role.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 4 comments.

FileDescription
roles/strategist.pyAdds claude_cli CLI invocation path for strategy generation.
roles/planner.pyAdds claude_cli path returning text + tokens + cost for cost guards.
roles/goal_evaluator.pyAdds claude_cli path for goal completion evaluation.
roles/evaluator.pyAdds claude_cli handling in _call_llm, including usage/cost parsing.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadroles/strategist.py
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/planner.py
Comment on lines +55 to +60
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/evaluator.py
Comment on lines +46 to +51
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
@Protocol-zero-0
Protocol-zero-0 merged commit fd0d34a into mainMay 26, 2026
8 checks passed
@Protocol-zero-0
Protocol-zero-0 deleted the feat/claude-cli-provider branch May 26, 2026 09:06
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2 participants

@Protocol-zero-0
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

feat(roles): add claude_cli provider — run kernel via Claude Code CLI - #38

Merged
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider
May 26, 2026
Merged

feat(roles): add claude_cli provider — run kernel via Claude Code CLI#38
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider

Conversation

@Protocol-zero-0

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Owner

Summary

Adds a third LLM provider alongside anthropic and openai. Set llm.provider: claude_cli in evolution.yml to drive planner / evaluator / goal_evaluator / strategist through the local claude binary instead of an API key.

Why: the bundled examples (oss_fix_demo) already use claude CLI for the executor, but the planning roles still required an Anthropic API key. With this, a Claude Pro subscription is enough to run the full kernel — drops the bar for evaluators / readers who try the README quickstart.

Implementation

  • Each of the four LLM-driven roles gets a _call_claude_cli(prompt, model) that shells out to claude -p --model <model> --output-format json and reads result from the JSON envelope.
  • planner.py and evaluator.py additionally read total_cost_usd and usage.{input,output}_tokens from the JSON so the kernel-level cost guards keep working (no free pass through cost accounting just because there's no API bill).
  • All four roles route through the existing provider switch; default behavior unchanged.
  • No new dependency — uses stdlib subprocess + json.

Compatibility

Opt-in only. Existing configs continue to work bit-for-bit. Targets a v1.2.0 minor release.

Test plan

  • CI green on this PR
  • manual: an evolution.yml with llm.provider: claude_cli runs end-to-end against a target repo using only Claude Pro (no ANTHROPIC_API_KEY)
  • verify total_cost_usd numbers from claude -p flow into runs/NNNN/decision.json cost field
  • (post-merge) cut v1.2.0 tag + GitHub Release + twine upload

Adds a third LLM provider alongside anthropic and openai. Set
`llm.provider: claude_cli` in evolution.yml to drive planner / evaluator
/ goal_evaluator / strategist through the local `claude` binary instead
of an API key.
Why: the bundled examples (oss_fix_demo) already use claude CLI for the
executor, but the planning roles still required an Anthropic API key.
With this, a Claude Pro subscription is enough to run the full kernel —
lowers the bar for evaluators / readers who try the README quickstart.
Implementation:
- Each role gets a `_call_claude_cli(prompt, model)` that shells out to
`claude -p --model <model> --output-format json`, reads `result` from
the JSON envelope. Planner / evaluator also read `total_cost_usd` and
total tokens so the kernel-level cost guards keep working.
- All four roles route through the existing `provider` switch; default
behavior unchanged (provider defaults stay anthropic / openai).
- No new dependency — uses stdlib subprocess + json.
Defaults: opt-in only. Existing configs continue to work bit-for-bit.
Targets a v1.2.0 minor release.
CopilotAI review requested due to automatic review settings May 26, 2026 08:55

CopilotAI left a comment

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Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Pull request overview

Adds a new opt-in LLM provider (claude_cli) so the kernel’s planning/evaluation roles can run via the local claude CLI (instead of requiring API keys), while still attempting to propagate token/cost accounting where available.

Changes:

  • Added claude_cli provider branches to planner, evaluator, goal_evaluator, and strategist roles.
  • Implemented Claude CLI subprocess calls using --output-format json, parsing result (and in planner/evaluator, token usage + total_cost_usd).
  • Routed the new provider through the existing llm.provider switch in each role.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 4 comments.

FileDescription
roles/strategist.pyAdds claude_cli CLI invocation path for strategy generation.
roles/planner.pyAdds claude_cli path returning text + tokens + cost for cost guards.
roles/goal_evaluator.pyAdds claude_cli path for goal completion evaluation.
roles/evaluator.pyAdds claude_cli handling in _call_llm, including usage/cost parsing.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadroles/strategist.py
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/planner.py
Comment on lines +55 to +60
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/evaluator.py
Comment on lines +46 to +51
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
@Protocol-zero-0
Protocol-zero-0 merged commit fd0d34a into mainMay 26, 2026
8 checks passed
@Protocol-zero-0
Protocol-zero-0 deleted the feat/claude-cli-provider branch May 26, 2026 09:06
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

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Successfully merging this pull request may close these issues.

2 participants

@Protocol-zero-0
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

feat(roles): add claude_cli provider — run kernel via Claude Code CLI - #38

Merged
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider
May 26, 2026
Merged

feat(roles): add claude_cli provider — run kernel via Claude Code CLI#38
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider

Conversation

@Protocol-zero-0

Copy link
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Owner

Summary

Adds a third LLM provider alongside anthropic and openai. Set llm.provider: claude_cli in evolution.yml to drive planner / evaluator / goal_evaluator / strategist through the local claude binary instead of an API key.

Why: the bundled examples (oss_fix_demo) already use claude CLI for the executor, but the planning roles still required an Anthropic API key. With this, a Claude Pro subscription is enough to run the full kernel — drops the bar for evaluators / readers who try the README quickstart.

Implementation

  • Each of the four LLM-driven roles gets a _call_claude_cli(prompt, model) that shells out to claude -p --model <model> --output-format json and reads result from the JSON envelope.
  • planner.py and evaluator.py additionally read total_cost_usd and usage.{input,output}_tokens from the JSON so the kernel-level cost guards keep working (no free pass through cost accounting just because there's no API bill).
  • All four roles route through the existing provider switch; default behavior unchanged.
  • No new dependency — uses stdlib subprocess + json.

Compatibility

Opt-in only. Existing configs continue to work bit-for-bit. Targets a v1.2.0 minor release.

Test plan

  • CI green on this PR
  • manual: an evolution.yml with llm.provider: claude_cli runs end-to-end against a target repo using only Claude Pro (no ANTHROPIC_API_KEY)
  • verify total_cost_usd numbers from claude -p flow into runs/NNNN/decision.json cost field
  • (post-merge) cut v1.2.0 tag + GitHub Release + twine upload

Adds a third LLM provider alongside anthropic and openai. Set
`llm.provider: claude_cli` in evolution.yml to drive planner / evaluator
/ goal_evaluator / strategist through the local `claude` binary instead
of an API key.
Why: the bundled examples (oss_fix_demo) already use claude CLI for the
executor, but the planning roles still required an Anthropic API key.
With this, a Claude Pro subscription is enough to run the full kernel —
lowers the bar for evaluators / readers who try the README quickstart.
Implementation:
- Each role gets a `_call_claude_cli(prompt, model)` that shells out to
`claude -p --model <model> --output-format json`, reads `result` from
the JSON envelope. Planner / evaluator also read `total_cost_usd` and
total tokens so the kernel-level cost guards keep working.
- All four roles route through the existing `provider` switch; default
behavior unchanged (provider defaults stay anthropic / openai).
- No new dependency — uses stdlib subprocess + json.
Defaults: opt-in only. Existing configs continue to work bit-for-bit.
Targets a v1.2.0 minor release.
CopilotAI review requested due to automatic review settings May 26, 2026 08:55

CopilotAI left a comment

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Choose a reason for hiding this comment

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Pull request overview

Adds a new opt-in LLM provider (claude_cli) so the kernel’s planning/evaluation roles can run via the local claude CLI (instead of requiring API keys), while still attempting to propagate token/cost accounting where available.

Changes:

  • Added claude_cli provider branches to planner, evaluator, goal_evaluator, and strategist roles.
  • Implemented Claude CLI subprocess calls using --output-format json, parsing result (and in planner/evaluator, token usage + total_cost_usd).
  • Routed the new provider through the existing llm.provider switch in each role.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 4 comments.

FileDescription
roles/strategist.pyAdds claude_cli CLI invocation path for strategy generation.
roles/planner.pyAdds claude_cli path returning text + tokens + cost for cost guards.
roles/goal_evaluator.pyAdds claude_cli path for goal completion evaluation.
roles/evaluator.pyAdds claude_cli handling in _call_llm, including usage/cost parsing.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadroles/strategist.py
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/planner.py
Comment on lines +55 to +60
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/evaluator.py
Comment on lines +46 to +51
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
@Protocol-zero-0
Protocol-zero-0 merged commit fd0d34a into mainMay 26, 2026
8 checks passed
@Protocol-zero-0
Protocol-zero-0 deleted the feat/claude-cli-provider branch May 26, 2026 09:06
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

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Development

Successfully merging this pull request may close these issues.

2 participants

@Protocol-zero-0
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

feat(roles): add claude_cli provider — run kernel via Claude Code CLI - #38

Merged
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider
May 26, 2026
Merged

feat(roles): add claude_cli provider — run kernel via Claude Code CLI#38
Protocol-zero-0 merged 1 commit into
mainfrom
feat/claude-cli-provider

Conversation

@Protocol-zero-0

Copy link
Copy Markdown
Owner

Summary

Adds a third LLM provider alongside anthropic and openai. Set llm.provider: claude_cli in evolution.yml to drive planner / evaluator / goal_evaluator / strategist through the local claude binary instead of an API key.

Why: the bundled examples (oss_fix_demo) already use claude CLI for the executor, but the planning roles still required an Anthropic API key. With this, a Claude Pro subscription is enough to run the full kernel — drops the bar for evaluators / readers who try the README quickstart.

Implementation

  • Each of the four LLM-driven roles gets a _call_claude_cli(prompt, model) that shells out to claude -p --model <model> --output-format json and reads result from the JSON envelope.
  • planner.py and evaluator.py additionally read total_cost_usd and usage.{input,output}_tokens from the JSON so the kernel-level cost guards keep working (no free pass through cost accounting just because there's no API bill).
  • All four roles route through the existing provider switch; default behavior unchanged.
  • No new dependency — uses stdlib subprocess + json.

Compatibility

Opt-in only. Existing configs continue to work bit-for-bit. Targets a v1.2.0 minor release.

Test plan

  • CI green on this PR
  • manual: an evolution.yml with llm.provider: claude_cli runs end-to-end against a target repo using only Claude Pro (no ANTHROPIC_API_KEY)
  • verify total_cost_usd numbers from claude -p flow into runs/NNNN/decision.json cost field
  • (post-merge) cut v1.2.0 tag + GitHub Release + twine upload

Adds a third LLM provider alongside anthropic and openai. Set
`llm.provider: claude_cli` in evolution.yml to drive planner / evaluator
/ goal_evaluator / strategist through the local `claude` binary instead
of an API key.
Why: the bundled examples (oss_fix_demo) already use claude CLI for the
executor, but the planning roles still required an Anthropic API key.
With this, a Claude Pro subscription is enough to run the full kernel —
lowers the bar for evaluators / readers who try the README quickstart.
Implementation:
- Each role gets a `_call_claude_cli(prompt, model)` that shells out to
`claude -p --model <model> --output-format json`, reads `result` from
the JSON envelope. Planner / evaluator also read `total_cost_usd` and
total tokens so the kernel-level cost guards keep working.
- All four roles route through the existing `provider` switch; default
behavior unchanged (provider defaults stay anthropic / openai).
- No new dependency — uses stdlib subprocess + json.
Defaults: opt-in only. Existing configs continue to work bit-for-bit.
Targets a v1.2.0 minor release.
CopilotAI review requested due to automatic review settings May 26, 2026 08:55

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Pull request overview

Adds a new opt-in LLM provider (claude_cli) so the kernel’s planning/evaluation roles can run via the local claude CLI (instead of requiring API keys), while still attempting to propagate token/cost accounting where available.

Changes:

  • Added claude_cli provider branches to planner, evaluator, goal_evaluator, and strategist roles.
  • Implemented Claude CLI subprocess calls using --output-format json, parsing result (and in planner/evaluator, token usage + total_cost_usd).
  • Routed the new provider through the existing llm.provider switch in each role.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 4 comments.

FileDescription
roles/strategist.pyAdds claude_cli CLI invocation path for strategy generation.
roles/planner.pyAdds claude_cli path returning text + tokens + cost for cost guards.
roles/goal_evaluator.pyAdds claude_cli path for goal completion evaluation.
roles/evaluator.pyAdds claude_cli handling in _call_llm, including usage/cost parsing.

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Comment threadroles/strategist.py
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/planner.py
Comment on lines +55 to +60
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment threadroles/evaluator.py
Comment on lines +46 to +51
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
@Protocol-zero-0
Protocol-zero-0 merged commit fd0d34a into mainMay 26, 2026
8 checks passed
@Protocol-zero-0
Protocol-zero-0 deleted the feat/claude-cli-provider branch May 26, 2026 09:06
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2 participants

@Protocol-zero-0