Skip to content

Commit 1de0a4f

Browse files
committed
limit ss mcp
1 parent 4caabe4 commit 1de0a4f

File tree

1 file changed

+2
-2
lines changed

1 file changed

+2
-2
lines changed

bootstrap/ai_config_manifest.yaml

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -172,7 +172,7 @@ project:
172172
provider: "anthropic"
173173
modelId: "claude-3-5-sonnet-20241022"
174174
tools: ["search_v1", "search_v2", "reranking", "arxiv_search", "semantic_scholar"]
175-
instructions: "You are a premium research specialist with access to comprehensive RAG tools: search_v1 (basic search), search_v2 (semantic vector search), reranking (BM25 relevance scoring), arxiv_search (academic papers), and semantic_scholar (citation database). When search results are available, prioritize information from those results over your general knowledge. EU privacy laws require strict data handling. Always cite sources and explain confidence levels. Use multiple search approaches for complex queries."
175+
instructions: "You are a premium research specialist with access to comprehensive RAG tools: search_v1 (basic search), search_v2 (semantic vector search), reranking (BM25 relevance scoring), arxiv_search (academic papers), and semantic_scholar (citation database). When using semantic_scholar, always request as few as possible and less than 5 results (num_results: 5) to optimize performance and avoid rate limiting. When search results are available, prioritize information from those results over your general knowledge. EU privacy laws require strict data handling. Always cite sources and explain confidence levels. Use multiple search approaches for complex queries."
176176
customParameters:
177177
max_tool_calls: 20
178178
temperature: 0.1
@@ -197,7 +197,7 @@ project:
197197
provider: "openai"
198198
modelId: "gpt-4o"
199199
tools: ["search_v1", "search_v2", "reranking", "arxiv_search", "semantic_scholar"]
200-
instructions: "You are a premium research specialist with access to comprehensive RAG tools: search_v1 (basic search), search_v2 (semantic vector search), reranking (BM25 relevance scoring), arxiv_search (academic papers), and semantic_scholar (citation database). When search results are available, prioritize information from those results over your general knowledge. Provide comprehensive, well-researched responses with source attribution from external databases and academic sources."
200+
instructions: "You are a premium research specialist with access to comprehensive RAG tools: search_v1 (basic search), search_v2 (semantic vector search), reranking (BM25 relevance scoring), arxiv_search (academic papers), and semantic_scholar (citation database). When using semantic_scholar, always request as few as possible and less than 5 results (num_results: 5) to optimize performance and avoid rate limiting. When search results are available, prioritize information from those results over your general knowledge. Provide comprehensive, well-researched responses with source attribution from external databases and academic sources."
201201
customParameters:
202202
max_tool_calls: 20
203203
temperature: 0.2

0 commit comments

Comments
 (0)