fix: harden responses streaming and tool-call fallback
Ensure /v1/responses streams always terminate with response.completed and normalize Lingma tool_code fallbacks into structured tool calls, including single-argument forms. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
177
CLAUDE.md
177
CLAUDE.md
@@ -93,3 +93,180 @@ Both protocols share the same backend pool, backpressure guard, stats, and sessi
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- Compose mounts:
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- `./data -> /app/data` (persistent Lingma binary/cache/workdirs)
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- `./secrets -> /secrets:ro` (session bundles, secrets)
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# CLAUDE.md
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Behavioral guidelines to reduce common LLM coding mistakes. Merge with project-specific instructions as needed.
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**Tradeoff:** These guidelines bias toward caution over speed. For trivial tasks, use judgment.
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## 1. Think Before Coding
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**Don't assume. Don't hide confusion. Surface tradeoffs.**
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Before implementing:
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- State your assumptions explicitly. If uncertain, ask.
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- If multiple interpretations exist, present them - don't pick silently.
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- If a simpler approach exists, say so. Push back when warranted.
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- If something is unclear, stop. Name what's confusing. Ask.
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## 2. Simplicity First
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**Minimum code that solves the problem. Nothing speculative.**
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- No features beyond what was asked.
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- No abstractions for single-use code.
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- No "flexibility" or "configurability" that wasn't requested.
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- No error handling for impossible scenarios.
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- If you write 200 lines and it could be 50, rewrite it.
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Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
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## 3. Surgical Changes
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**Touch only what you must. Clean up only your own mess.**
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When editing existing code:
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- Don't "improve" adjacent code, comments, or formatting.
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- Don't refactor things that aren't broken.
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- Match existing style, even if you'd do it differently.
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- If you notice unrelated dead code, mention it - don't delete it.
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When your changes create orphans:
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- Remove imports/variables/functions that YOUR changes made unused.
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- Don't remove pre-existing dead code unless asked.
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The test: Every changed line should trace directly to the user's request.
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## 4. Goal-Driven Execution
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**Define success criteria. Loop until verified.**
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Transform tasks into verifiable goals:
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- "Add validation" → "Write tests for invalid inputs, then make them pass"
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- "Fix the bug" → "Write a test that reproduces it, then make it pass"
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- "Refactor X" → "Ensure tests pass before and after"
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For multi-step tasks, state a brief plan:
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```
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1. [Step] → verify: [check]
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2. [Step] → verify: [check]
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3. [Step] → verify: [check]
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```
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Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.
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---
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**These guidelines are working if:** fewer unnecessary changes in diffs, fewer rewrites due to overcomplication, and clarifying questions come before implementation rather than after mistakes.
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# CLAUDE.md
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Behavioral guidelines to reduce common LLM coding mistakes. Merge with project-specific instructions as needed.
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**Tradeoff:** These guidelines bias toward caution over speed. For trivial tasks, use judgment.
|
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## 1. Think Before Coding
|
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**Don't assume. Don't hide confusion. Surface tradeoffs.**
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|
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Before implementing:
|
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- State your assumptions explicitly. If uncertain, ask.
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- If multiple interpretations exist, present them - don't pick silently.
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- If a simpler approach exists, say so. Push back when warranted.
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- If something is unclear, stop. Name what's confusing. Ask.
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## 2. Simplicity First
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**Minimum code that solves the problem. Nothing speculative.**
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- No features beyond what was asked.
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- No abstractions for single-use code.
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- No "flexibility" or "configurability" that wasn't requested.
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- No error handling for impossible scenarios.
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- If you write 200 lines and it could be 50, rewrite it.
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Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
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## 3. Surgical Changes
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**Touch only what you must. Clean up only your own mess.**
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When editing existing code:
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- Don't "improve" adjacent code, comments, or formatting.
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- Don't refactor things that aren't broken.
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- Match existing style, even if you'd do it differently.
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- If you notice unrelated dead code, mention it - don't delete it.
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When your changes create orphans:
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- Remove imports/variables/functions that YOUR changes made unused.
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- Don't remove pre-existing dead code unless asked.
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The test: Every changed line should trace directly to the user's request.
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## 4. Goal-Driven Execution
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**Define success criteria. Loop until verified.**
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Transform tasks into verifiable goals:
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- "Add validation" → "Write tests for invalid inputs, then make them pass"
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- "Fix the bug" → "Write a test that reproduces it, then make it pass"
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- "Refactor X" → "Ensure tests pass before and after"
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For multi-step tasks, state a brief plan:
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```
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1. [Step] → verify: [check]
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2. [Step] → verify: [check]
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3. [Step] → verify: [check]
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```
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Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.
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---
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**These guidelines are working if:** fewer unnecessary changes in diffs, fewer rewrites due to overcomplication, and clarifying questions come before implementation rather than after mistakes.
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<!-- gitnexus:start -->
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# GitNexus — Code Intelligence
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This project is indexed by GitNexus as **lingma-openai-gateway** (1093 symbols, 2685 relationships, 97 execution flows). Use the GitNexus MCP tools to understand code, assess impact, and navigate safely.
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> If any GitNexus tool warns the index is stale, run `npx gitnexus analyze` in terminal first.
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## Always Do
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- **MUST run impact analysis before editing any symbol.** Before modifying a function, class, or method, run `gitnexus_impact({target: "symbolName", direction: "upstream"})` and report the blast radius (direct callers, affected processes, risk level) to the user.
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- **MUST run `gitnexus_detect_changes()` before committing** to verify your changes only affect expected symbols and execution flows.
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- **MUST warn the user** if impact analysis returns HIGH or CRITICAL risk before proceeding with edits.
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- When exploring unfamiliar code, use `gitnexus_query({query: "concept"})` to find execution flows instead of grepping. It returns process-grouped results ranked by relevance.
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- When you need full context on a specific symbol — callers, callees, which execution flows it participates in — use `gitnexus_context({name: "symbolName"})`.
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## Never Do
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- NEVER edit a function, class, or method without first running `gitnexus_impact` on it.
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- NEVER ignore HIGH or CRITICAL risk warnings from impact analysis.
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- NEVER rename symbols with find-and-replace — use `gitnexus_rename` which understands the call graph.
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- NEVER commit changes without running `gitnexus_detect_changes()` to check affected scope.
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## Resources
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| Resource | Use for |
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|----------|---------|
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| `gitnexus://repo/lingma-openai-gateway/context` | Codebase overview, check index freshness |
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| `gitnexus://repo/lingma-openai-gateway/clusters` | All functional areas |
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| `gitnexus://repo/lingma-openai-gateway/processes` | All execution flows |
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| `gitnexus://repo/lingma-openai-gateway/process/{name}` | Step-by-step execution trace |
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## CLI
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| Task | Read this skill file |
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|------|---------------------|
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| Understand architecture / "How does X work?" | `.claude/skills/gitnexus/gitnexus-exploring/SKILL.md` |
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| Blast radius / "What breaks if I change X?" | `.claude/skills/gitnexus/gitnexus-impact-analysis/SKILL.md` |
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| Trace bugs / "Why is X failing?" | `.claude/skills/gitnexus/gitnexus-debugging/SKILL.md` |
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| Rename / extract / split / refactor | `.claude/skills/gitnexus/gitnexus-refactoring/SKILL.md` |
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| Tools, resources, schema reference | `.claude/skills/gitnexus/gitnexus-guide/SKILL.md` |
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| Index, status, clean, wiki CLI commands | `.claude/skills/gitnexus/gitnexus-cli/SKILL.md` |
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<!-- gitnexus:end -->
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