文件历史

12 次代码提交

作者 SHA1 备注 提交日期
Seth Hobson 511f8345cf docs: refresh model references for Claude Sonnet 5 and Fable 5 (#612)
* feat(adapters): map sonnet tier to Claude Sonnet 5; Copilot fable to claude-fable-5

Claude Sonnet 5 is GA (Copilot GA 2026-06-30) and Copilot now serves
Fable 5 natively, so the sonnet/inherit aliases move off Sonnet 4.6 and
the Copilot fable alias no longer falls back to Opus 4.8. Catalog
verification date bumped to 2026-07.

* fix(plugin-eval): judge sonnet tier resolves to claude-sonnet-5

* docs: refresh model alias table and tier counts (Sonnet 5, five-tier, 66/22/52)

* docs(plugins): update model examples to Sonnet 5 / Opus 4.8

Replace claude-sonnet-4-6 with claude-sonnet-5 and Opus 4.7 mentions
with 4.8 in llm-application-dev; replace retired claude-3-5-sonnet in
performance-testing-review's ai-review. Drop temperature args from
migrated examples — Sonnet 5 rejects non-default sampling params.
2026-07-07 12:17:53 -04:00
Seth Hobson 20605a6ce9 docs: bump OpenAI references from GPT-5.2 to GPT-5.4
Covers all 18 occurrences across 9 files: marketplace.json description,
llm-application-dev plugin.json / README / agents / commands / skills
references, agent-orchestration multi-agent-optimize, and
performance-testing-review ai-review. No GPT-5.3 references existed.

JSON validated; pytest unaffected.
2026-04-16 13:19:42 -04:00
Seth Hobson 20d7a31a4f docs: bump Opus references from 4.6 to 4.7
- README.md: three-tier model strategy now lists Opus 4.7; Tier 1
  table entry and pricing bullet updated
- llm-application-dev README, ai-engineer agent, prompt-engineer agent:
  Anthropic model list now reads Opus 4.7, Sonnet 4.6, Haiku 4.5
- plugin-eval judge.py: model map resolves "opus" tier to
  claude-opus-4-7 (the ID the LLM judge layer hands to the SDK)

Sonnet 4.6 and Haiku 4.5 references left alone — those are the current
model versions for those tiers. Agent frontmatter is unaffected: all
184 agents already declare model as opus/sonnet/haiku/inherit, so the
new Opus version picks up automatically with no file changes.
2026-04-16 13:18:45 -04:00
Avi Miller 24df162978 feat: Add OCI awareness across agents and skills
Adds awareness of Oracle Cloud Infrastructure to any plugin that referenced
at least two of the major cloud vendors already. Skills updated to include
OCI services. Also updated some of the other cloud references.

Signed-off-by: Avi Miller <me@dje.li>
2026-03-16 17:55:32 +11:00
Seth Hobson 086557180a chore: update model references to Claude 4.6 and GPT-5.2
- Claude Opus 4.5 → Opus 4.6, Claude Sonnet 4.5 → Sonnet 4.6 (Haiku stays 4.5)
- Update claude-sonnet-4-5 model IDs to claude-sonnet-4-6 in code examples
- Update SWE-bench stat from 80.9% to 80.8% for Opus 4.6
- Update GPT refs: GPT-5 → GPT-5.2, GPT-4o → gpt-5.2, GPT-4o-mini → GPT-5-mini
- Fix GPT-5.2-mini → GPT-5-mini (correct model name per OpenAI)
- Bump marketplace to v1.5.2 and affected plugin versions
2026-02-19 14:03:46 -05:00
Seth Hobson 56848874a2 style: format all files with prettier 2026-01-19 17:07:03 -05:00
Seth Hobson 8be0e8ac7a feat(llm-application-dev): modernize to LangGraph and latest models v2.0.0
- Migrate from LangChain 0.x to LangChain 1.x/LangGraph patterns
- Update model references to Claude 4.5 and GPT-5.2
- Add Voyage AI as primary embedding recommendation
- Add structured outputs with Pydantic
- Replace deprecated initialize_agent() with StateGraph
- Fix security: use AST-based safe math instead of unsafe execution
- Add plugin.json and README.md for consistency
- Bump marketplace version to 1.3.3
2026-01-19 15:43:25 -05:00
Seth Hobson 01d93fc227 feat: add 5 new specialized agents with 20 skills
Add domain expert agents with comprehensive skill sets:
- service-mesh-expert (cloud-infrastructure): Istio/Linkerd patterns, mTLS, observability
- event-sourcing-architect (backend-development): CQRS, event stores, projections, sagas
- vector-database-engineer (llm-application-dev): embeddings, similarity search, hybrid search
- monorepo-architect (developer-essentials): Nx, Turborepo, Bazel, pnpm workspaces
- threat-modeling-expert (security-scanning): STRIDE, attack trees, security requirements

Update all documentation to reflect correct counts:
- 67 plugins, 99 agents, 107 skills, 71 commands
2025-12-16 16:00:58 -05:00
Seth Hobson c7ad381360 feat: implement three-tier model strategy with Opus 4.5 (#139)
* feat: implement three-tier model strategy with Opus 4.5

This implements a strategic model selection approach based on agent
complexity and use case, addressing Issue #136.

Three-Tier Strategy:
- Tier 1 (opus): 17 critical agents for architecture, security, code review
- Tier 2 (inherit): 21 complex agents where users choose their model
- Tier 3 (sonnet): 63 routine development agents (unchanged)
- Tier 4 (haiku): 47 fast operational agents (unchanged)

Why Opus 4.5 for Tier 1:
- 80.9% on SWE-bench (industry-leading for code)
- 65% fewer tokens for long-horizon tasks
- Superior reasoning for architectural decisions

Changes:
- Update architect-review, cloud-architect, kubernetes-architect,
  database-architect, security-auditor, code-reviewer to opus
- Update backend-architect, performance-engineer, ai-engineer,
  prompt-engineer, ml-engineer, mlops-engineer, data-scientist,
  blockchain-developer, quant-analyst, risk-manager, sql-pro,
  database-optimizer to inherit
- Update README with three-tier model documentation

Relates to #136

* feat: comprehensive model tier redistribution for Opus 4.5

This commit implements a strategic rebalancing of agent model assignments,
significantly increasing the use of Opus 4.5 for critical coding tasks while
ensuring Sonnet is used more than Haiku for support tasks.

Final Distribution (153 total agent files):
- Tier 1 Opus: 42 agents (27.5%) - All production coding + critical architecture
- Tier 2 Inherit: 42 agents (27.5%) - Complex tasks, user-choosable
- Tier 3 Sonnet: 38 agents (24.8%) - Support tasks needing intelligence
- Tier 4 Haiku: 31 agents (20.3%) - Simple operational tasks

Key Changes:

Tier 1 (Opus) - Production Coding + Critical Review:
- ALL code-reviewers (6 total): Ensures highest quality code review across
  all contexts (comprehensive, git PR, code docs, codebase cleanup, refactoring, TDD)
- All major language pros (7): python, golang, rust, typescript, cpp, java, c
- Framework specialists (6): django (2), fastapi (2), graphql-architect (2)
- Complex specialists (6): terraform-specialist (3), tdd-orchestrator (2), data-engineer
- Blockchain: blockchain-developer (smart contracts are critical)
- Game dev (2): unity-developer, minecraft-bukkit-pro
- Architecture (existing): architect-review, cloud-architect, kubernetes-architect,
  hybrid-cloud-architect, database-architect, security-auditor

Tier 2 (Inherit) - User Flexibility:
- Secondary languages (6): javascript, scala, csharp, ruby, php, elixir
- All frontend/mobile (8): frontend-developer (4), mobile-developer (2),
  flutter-expert, ios-developer
- Specialized (6): observability-engineer (2), temporal-python-pro,
  arm-cortex-expert, context-manager (2), database-optimizer (2)
- AI/ML, backend-architect, performance-engineer, quant/risk (existing)

Tier 3 (Sonnet) - Intelligent Support:
- Documentation (4): docs-architect (2), tutorial-engineer (2)
- Testing (2): test-automator (2)
- Developer experience (3): dx-optimizer (2), business-analyst
- Modernization (4): legacy-modernizer (3), database-admin
- Other support agents (existing)

Tier 4 (Haiku) - Simple Operations:
- SEO/Marketing (10): All SEO agents, content, search
- Deployment (4): deployment-engineer (4 instances)
- Debugging (5): debugger (2), error-detective (3)
- DevOps (3): devops-troubleshooter (3)
- Other simple operational tasks

Rationale:
- Opus 4.5 achieves 80.9% on SWE-bench with 65% fewer tokens on complex tasks
- Production code deserves the best model: all language pros now on Opus
- All code review uses Opus for maximum quality and security
- Sonnet > Haiku (38 vs 31) ensures better intelligence for support tasks
- Inherit tier gives users cost control for frontend, mobile, and specialized tasks

Related: #136, #132

* feat: upgrade final 13 agents from Haiku to Sonnet

Based on research into Haiku 4.5 vs Sonnet 4.5 capabilities, upgraded
agents requiring deep analytical intelligence from Haiku to Sonnet.

Research Findings:
- Haiku 4.5: 73.3% SWE-bench, 3-5x faster, 1/3 cost, sub-200ms responses
- Best for Haiku: Real-time apps, data extraction, templates, high-volume ops
- Best for Sonnet: Complex reasoning, root cause analysis, strategic planning

Agents Upgraded (13 total):
- Debugging (5): debugger (2), error-detective (3) - Complex root cause analysis
- DevOps (3): devops-troubleshooter (3) - System diagnostics & troubleshooting
- Network (2): network-engineer (2) - Complex network analysis & optimization
- API Documentation (2): api-documenter (2) - Deep API understanding required
- Payments (1): payment-integration - Critical financial integration

Final Distribution (153 total):
- Tier 1 Opus: 42 agents (27.5%) - Production coding + critical architecture
- Tier 2 Inherit: 42 agents (27.5%) - Complex tasks, user-choosable
- Tier 3 Sonnet: 51 agents (33.3%) - Support tasks needing intelligence
- Tier 4 Haiku: 18 agents (11.8%) - Fast operational tasks only

Haiku Now Reserved For:
- SEO/Marketing (8): Pattern matching, data extraction, content templates
- Deployment (4): Operational execution tasks
- Simple Docs (3): reference-builder, mermaid-expert, c4-code
- Sales/Support (2): High-volume, template-based interactions
- Search (1): Knowledge retrieval

Sonnet > Haiku as requested (51 vs 18)

Sources:
- https://www.creolestudios.com/claude-haiku-4-5-vs-sonnet-4-5-comparison/
- https://www.anthropic.com/news/claude-haiku-4-5
- https://caylent.com/blog/claude-haiku-4-5-deep-dive-cost-capabilities-and-the-multi-agent-opportunity

Related: #136

* docs: add cost considerations and clarify inherit behavior

Addresses PR feedback:
- Added comprehensive cost comparison for all model tiers
- Documented how 'inherit' model works (uses session default, falls back to Sonnet)
- Explained cost optimization strategies
- Clarified when Opus token efficiency offsets higher rate

This helps users make informed decisions about model selection and cost control.
2025-12-10 15:52:06 -05:00
Kunal Shah 1305e48672 Replace GPT and Claude models to latest, better and cheaper models (#118)
* Updated GPT and Claude models to latest, better and cheaper models

* updated more files to use GPT-5 and Sonnet/Haiku 4.5 because theu are the latest, cheaper and better models
2025-11-16 20:22:36 -05:00
Seth Hobson 8346c1f2f7 refactor: migrate to model-agnostic Sonnet/Haiku architecture
- Migrate all 48 Opus agents to Sonnet
- Optimize 35 execution-focused agents for Haiku
- Update README with hybrid orchestration patterns
- Simplify model configuration to use agnostic aliases

Final distribution: 97 Sonnet / 47 Haiku agents
2025-10-15 14:06:54 -04:00
Seth Hobson 20d4472a3b Restructure marketplace for isolated plugin architecture
- Organize 62 plugins into isolated directories under plugins/
- Consolidate tools and workflows into commands/ following Anthropic conventions
- Update marketplace.json with isolated source paths for each plugin
- Revise README to reflect plugin-based structure and token efficiency
- Remove shared resource directories (agents/, tools/, workflows/)

Each plugin now contains only its specific agents and commands, enabling
granular installation and minimal token usage. Installing a single plugin
loads only its resources rather than the entire marketplace.

Structure: plugins/{plugin-name}/{agents/,commands/}
2025-10-13 10:19:10 -04:00