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chore: update model references to Claude 4.6 and GPT-5.2

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- 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
This commit is contained in:
Seth Hobson
2026-02-19 14:03:46 -05:00
parent 5d65aa1063
commit 086557180a
19 changed files with 62 additions and 62 deletions
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6
plugins/llm-application-dev/commands/langchain-agent.md
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@@ -37,7 +37,7 @@ class AgentState(TypedDict):
### Model & Embeddings
- **Primary LLM**: Claude Sonnet 4.5 (`claude-sonnet-4-5`)
- **Primary LLM**: Claude Sonnet 4.6 (`claude-sonnet-4-6`)
- **Embeddings**: Voyage AI (`voyage-3-large`) - officially recommended by Anthropic for Claude
- **Specialized**: `voyage-code-3` (code), `voyage-finance-2` (finance), `voyage-law-2` (legal)
@@ -158,7 +158,7 @@ from langsmith.evaluation import evaluate
# Run evaluation suite
eval_config = RunEvalConfig(
evaluators=["qa", "context_qa", "cot_qa"],
eval_llm=ChatAnthropic(model="claude-sonnet-4-5")
eval_llm=ChatAnthropic(model="claude-sonnet-4-6")
)
results = await evaluate(
@@ -209,7 +209,7 @@ async def call_with_retry():
## Implementation Checklist
- [ ] Initialize LLM with Claude Sonnet 4.5
- [ ] Initialize LLM with Claude Sonnet 4.6
- [ ] Setup Voyage AI embeddings (voyage-3-large)
- [ ] Create tools with async support and error handling
- [ ] Implement memory system (choose type based on use case)

4
plugins/llm-application-dev/commands/prompt-optimize.md
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@@ -150,7 +150,7 @@ gpt5_optimized = """
````
**Claude 4.5/4**
**Claude 4.6/4.5**
```python
claude_optimized = """
<context>
@@ -607,7 +607,7 @@ testing_recommendations:
metrics: ["accuracy", "satisfaction", "cost"]
deployment_strategy:
model: "GPT-5.2 for quality, Claude 4.5 for safety"
model: "GPT-5.2 for quality, Claude 4.6 for safety"
temperature: 0.7
max_tokens: 2000
monitoring: "Track success, latency, feedback"