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5 Commits
29b111080f
...
f6891d231f
| Author | SHA1 | Date | |
|---|---|---|---|
| f6891d231f | |||
| 337540496a | |||
| 383e452322 | |||
| a91fdb315c | |||
| b156094691 |
@@ -59,14 +59,22 @@ def embed(text, input_type):
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assert resp.embeddings.float_ is not None
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return resp.embeddings.float_[0]
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def search(query, roles: list[str], top_n: int = 3, max_content_length: int = 1500) -> list[dict]:
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"""Search with vector similarity, then rerank with Cohere for better relevance."""
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@mcp.tool
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def search_caving_documents(query: str, priority_prefixes: list[str] | None = None) -> dict:
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"""Search caving documents for information about caves, techniques, safety, accidents, history, and more.
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Args:
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query: Search query
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priority_prefixes: Optional list of key prefixes to prioritize (e.g., ['nss/aca'] for rescue topics)
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"""
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roles = get_user_roles()
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if not roles:
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return {"results": [], "note": "No results. Answer based on your knowledge."}
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query_embedding = embed(query, 'search_query')
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if not roles:
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return []
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# Fetch more candidates for reranking
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top_n = 2
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candidate_limit = top_n * 4
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rows = conn.execute(
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'SELECT * FROM embeddings WHERE embedding IS NOT NULL AND role = ANY(%s) ORDER BY embedding <=> %s::vector LIMIT %s',
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@@ -74,52 +82,37 @@ def search(query, roles: list[str], top_n: int = 3, max_content_length: int = 15
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).fetchall()
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if not rows:
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return []
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return {"results": [], "note": "No results found. Answer based on your knowledge."}
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# Rerank with Cohere for better relevance
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rerank_resp = co.rerank(
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query=query,
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documents=[row['content'] or '' for row in rows],
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model='rerank-v3.5',
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top_n=top_n,
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top_n=min(top_n * 2, len(rows)),
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)
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# Build results with optional priority boost
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docs = []
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for result in rerank_resp.results:
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row = rows[result.index]
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score = result.relevance_score
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# Boost score if key starts with any priority prefix (e.g., 'nss/aca')
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if priority_prefixes:
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key = row['key'] or ''
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if any(key.startswith(prefix) for prefix in priority_prefixes):
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score = min(1.0, score * 1.3)
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content = row['content'] or ''
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if len(content) > max_content_length:
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content = content[:max_content_length] + '...[truncated, use get_document_page for full text]'
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docs.append({'key': row['key'], 'content': content, 'relevance': round(result.relevance_score, 3)})
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return docs
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docs.append({'key': row['key'], 'content': content, 'relevance': round(score, 3)})
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@mcp.tool
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def get_cave_location(cave: str, state: str, county: str) -> list[dict]:
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"""Lookup cave location as coordinates."""
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roles = get_user_roles()
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return search(f'{cave} Location, latitude, Longitude. Located in {state} and {county} county.', roles)
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@mcp.tool
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def general_caving_information(query: str) -> list[dict]:
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"""General purpose search for any topic related to caves."""
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roles = get_user_roles()
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return search(query, roles)
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@mcp.tool
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def get_document_page(key: str) -> dict:
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"""Fetch full content for a document page. Pass the exact 'key' value from search results."""
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roles = get_user_roles()
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if not roles:
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return {"error": "No roles assigned"}
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row = conn.execute(
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'SELECT key, content FROM embeddings WHERE key = %s AND role = ANY(%s)',
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(key, roles)
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).fetchone()
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if row:
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return {"key": row["key"], "content": row["content"]}
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return {"error": f"Page not found: {key}"}
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# Re-sort by boosted score and return top_n
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docs.sort(key=lambda x: x['relevance'], reverse=True)
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return {
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"results": docs[:top_n],
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"note": "These are ALL available results. Do NOT search again - answer using these results now."
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}
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@mcp.tool
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def get_user_info() -> dict:
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@@ -26,7 +26,6 @@ logfire.configure(
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logfire.instrument_pydantic_ai()
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logfire.instrument_httpx()
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from typing import Any
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from pydantic_ai import Agent, ModelMessage, RunContext
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from pydantic_ai.settings import ModelSettings
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from pydantic_ai.mcp import CallToolFunc
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@@ -43,8 +42,8 @@ def limit_history(ctx: RunContext[None], messages: list[ModelMessage]) -> list[M
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if not messages:
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return messages
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# Keep only the last 4 messages
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messages = messages[-4:]
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# Keep last 10 messages
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messages = messages[-10:]
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# Check if the last message is an assistant response with a tool call
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# If so, remove it - it's orphaned (no tool result followed)
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@@ -80,37 +79,34 @@ AGENT_INSTRUCTIONS = """Caving assistant. Help with exploration, safety, surveyi
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Rules:
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1. ALWAYS cite sources in a bulleted list at the end of every reply, even if there's only one. Format them human-readably (e.g., "- The Trog 2021, page 19" not "vpi/trog/2021-trog.pdf/page-19.pdf").
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2. Say when uncertain. Never hallucinate.
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3. Be safety-conscious.
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4. Can create ascii diagrams/maps.
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5. Be direct—no sycophantic phrases.
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6. Keep responses concise.
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7. Use tools sparingly—one search usually suffices.
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8. If you hit the search limit, end your reply with an italicized note: *Your question may be too broad. Try asking something more specific.* Do NOT mention "tools" or "tool limits"—the user doesn't know what those are."""
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3. Be direct—no sycophantic phrases.
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4. Keep responses concise.
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5. SEARCH EXACTLY ONCE. After searching, IMMEDIATELY answer using those results. NEVER search again - additional searches are blocked and waste resources.
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6. For rescue, accident, or emergency-related queries, use priority_prefixes=['nss/aca'] when searching to prioritize official accident reports."""
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SOURCES_ONLY_INSTRUCTIONS = """SOURCES ONLY MODE: Give exactly ONE sentence summary. Then list sources with specific page numbers (e.g., "- The Trog 2021, page 19"). No explanations."""
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def create_tool_call_limiter(max_calls: int = 3):
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"""Create a process_tool_call callback that limits tool calls."""
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call_count = [0] # Mutable container for closure
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def create_search_limiter():
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"""Block searches after the first one."""
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searched = [False]
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async def process_tool_call(
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ctx: RunContext,
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call_tool: CallToolFunc,
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name: str,
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tool_args: dict[str, Any],
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tool_args: dict,
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):
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call_count[0] += 1
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if call_count[0] > max_calls:
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return (
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f"SEARCH LIMIT REACHED: You have made {max_calls} searches. "
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"Stop searching and answer now with what you have. "
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"End your reply with: *Your question may be too broad. Try asking something more specific.*"
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)
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if name == "search_caving_documents":
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if searched[0]:
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return "You have already searched. Use the results you have."
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searched[0] = True
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return await call_tool(name, tool_args)
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return process_tool_call
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def create_agent(user_roles: list[str] | None = None):
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def create_agent(user_roles: list[str] | None = None, sources_only: bool = False):
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"""Create an agent with MCP tools configured for the given user roles."""
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toolsets = []
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@@ -129,7 +125,7 @@ def create_agent(user_roles: list[str] | None = None):
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url=CAVE_MCP_URL,
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headers={"x-user-roles": roles_header},
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timeout=30.0,
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process_tool_call=create_tool_call_limiter(max_calls=3),
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process_tool_call=create_search_limiter(),
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)
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toolsets.append(mcp_server)
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logger.info(f"MCP server configured with roles: {user_roles}")
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@@ -140,10 +136,15 @@ def create_agent(user_roles: list[str] | None = None):
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else:
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logger.info("MCP server unavailable - running without MCP tools")
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# Build instructions based on mode
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instructions = AGENT_INSTRUCTIONS
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if sources_only:
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instructions = f"{SOURCES_ONLY_INSTRUCTIONS}\n\n{AGENT_INSTRUCTIONS}"
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return Agent(
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model="anthropic:claude-sonnet-4-5",
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toolsets=toolsets if toolsets else None,
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instructions=AGENT_INSTRUCTIONS,
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instructions=instructions,
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history_processors=[limit_history],
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model_settings=ModelSettings(max_tokens=4096),
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)
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@@ -67,8 +67,13 @@ async def handle_agent_request(request: Request) -> Response:
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except json.JSONDecodeError as e:
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logger.warning(f"Failed to parse x-user-roles header: {e}")
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# Create agent with the user's roles
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agent = create_agent(user_roles)
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# Extract sources-only mode from header
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sources_only = request.headers.get("x-sources-only", "false") == "true"
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if sources_only:
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logger.info("Sources-only mode enabled")
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# Create agent with the user's roles and mode
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agent = create_agent(user_roles, sources_only=sources_only)
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# Dispatch the request - tool limits handled by ToolCallLimiter in agent.py
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return await AGUIAdapter.dispatch_request(
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@@ -15,13 +15,19 @@ export const POST = async (req: NextRequest) => {
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const session = await auth0.getSession();
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const userRoles = (session?.user?.roles as string[]) || [];
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console.log("DEBUG: User roles from session:", userRoles);
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// Get sources-only mode from query param
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const url = new URL(req.url);
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const sourcesOnly = url.searchParams.get("sourcesOnly") === "true";
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// Create HttpAgent with user roles header
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console.log("DEBUG: User roles from session:", userRoles);
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console.log("DEBUG: Sources only mode:", sourcesOnly);
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// Create HttpAgent with user roles and sources-only headers
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const agent = new HttpAgent({
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url: process.env.AGENT_URL || "http://localhost:8000/",
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headers: {
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"x-user-roles": JSON.stringify(userRoles),
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"x-sources-only": sourcesOnly ? "true" : "false",
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},
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});
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@@ -1,6 +1,5 @@
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import type { Metadata } from "next";
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import { CopilotKit } from "@copilotkit/react-core";
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import { Auth0Provider } from "@auth0/nextjs-auth0/client";
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import "./globals.css";
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import "@copilotkit/react-ui/styles.css";
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@@ -19,9 +18,7 @@ export default function RootLayout({
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<html lang="en">
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<body className={"antialiased"}>
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<Auth0Provider>
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<CopilotKit runtimeUrl="/api/copilotkit" agent="vpi_1000">
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{children}
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</CopilotKit>
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{children}
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</Auth0Provider>
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</body>
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</html>
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@@ -1,6 +1,6 @@
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"use client";
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import { useCopilotAction, useCopilotChat } from "@copilotkit/react-core";
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import { CopilotKit, useCopilotAction, useCopilotChat } from "@copilotkit/react-core";
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import { CopilotKitCSSProperties, CopilotChat } from "@copilotkit/react-ui";
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import { useState } from "react";
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import { useUser } from "@auth0/nextjs-auth0/client";
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@@ -36,10 +36,8 @@ function LoadingOverlay() {
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}
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}
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export default function CopilotKitPage() {
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const [themeColor, setThemeColor] = useState("#6366f1");
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const { user, isLoading: authLoading } = useUser();
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// Chat content with CopilotKit hooks - must be inside CopilotKit provider
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function ChatContent({ themeColor, setThemeColor }: { themeColor: string; setThemeColor: (color: string) => void }) {
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useCopilotAction({
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name: "setThemeColor",
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parameters: [{
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@@ -52,6 +50,35 @@ export default function CopilotKitPage() {
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},
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});
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return (
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<div
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className="flex-1 flex justify-center py-8 px-2 overflow-hidden relative"
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style={{ "--copilot-kit-primary-color": themeColor } as CopilotKitCSSProperties}
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>
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<div className="h-full w-full max-w-5xl flex flex-col">
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<CopilotChat
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labels={{
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title: "AI Cartwright",
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initial: "Hello! I'm here to help with anything related to caving. Ask me about caves, techniques, safety, equipment, or anything else caving-related!",
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}}
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className="h-full w-full"
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/>
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</div>
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<LoadingOverlay />
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</div>
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);
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}
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export default function CopilotKitPage() {
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const [themeColor, setThemeColor] = useState("#6366f1");
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const [sourcesOnlyMode, setSourcesOnlyMode] = useState(false);
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const { user, isLoading: authLoading } = useUser();
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// Dynamic runtime URL based on sources-only mode
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const runtimeUrl = sourcesOnlyMode
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? "/api/copilotkit?sourcesOnly=true"
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: "/api/copilotkit";
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// Show loading state while checking authentication
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if (authLoading) {
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return (
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@@ -88,50 +115,51 @@ export default function CopilotKitPage() {
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// If authenticated, show the CopilotKit chat with user profile
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return (
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<main
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style={{ "--copilot-kit-primary-color": themeColor } as CopilotKitCSSProperties}
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className="h-screen w-screen flex flex-col bg-gray-50"
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<CopilotKit
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runtimeUrl={runtimeUrl}
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agent="vpi_1000"
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key={sourcesOnlyMode ? "sources" : "normal"}
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>
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{/* Header with user profile and logout */}
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<div className="w-full bg-white shadow-sm border-b border-gray-200 px-4 py-3">
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<div className="max-w-7xl mx-auto flex justify-between items-center">
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<div className="flex items-center gap-4">
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<h1 className="text-xl font-semibold text-gray-900">Cavepedia</h1>
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</div>
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<div className="flex items-center gap-4">
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{user.picture && (
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<img
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src={user.picture}
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alt={user.name || 'User'}
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className="w-8 h-8 rounded-full"
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/>
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)}
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<div className="flex flex-col items-end">
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<span className="text-sm text-gray-700">{user.name}</span>
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{(user as any).roles && (user as any).roles.length > 0 && (
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<span className="text-xs text-gray-500">
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{(user as any).roles.join(', ')}
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</span>
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)}
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<main className="h-screen w-screen flex flex-col bg-gray-50">
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{/* Header with user profile and logout */}
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<div className="w-full bg-white shadow-sm border-b border-gray-200 px-4 py-3">
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||||
<div className="max-w-7xl mx-auto flex justify-between items-center">
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||||
<div className="flex items-center gap-4">
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<h1 className="text-xl font-semibold text-gray-900">Cavepedia</h1>
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<label className="flex items-center gap-2 text-sm text-gray-600 cursor-pointer">
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<input
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type="checkbox"
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checked={sourcesOnlyMode}
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onChange={(e) => setSourcesOnlyMode(e.target.checked)}
|
||||
className="w-4 h-4 rounded border-gray-300 text-indigo-600 focus:ring-indigo-500"
|
||||
/>
|
||||
Sources only
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</label>
|
||||
</div>
|
||||
<div className="flex items-center gap-4">
|
||||
{user.picture && (
|
||||
<img
|
||||
src={user.picture}
|
||||
alt={user.name || 'User'}
|
||||
className="w-8 h-8 rounded-full"
|
||||
/>
|
||||
)}
|
||||
<div className="flex flex-col items-end">
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||||
<span className="text-sm text-gray-700">{user.name}</span>
|
||||
{(user as any).roles && (user as any).roles.length > 0 && (
|
||||
<span className="text-xs text-gray-500">
|
||||
{(user as any).roles.join(', ')}
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
<LogoutButton />
|
||||
</div>
|
||||
<LogoutButton />
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* CopilotKit Chat */}
|
||||
<div className="flex-1 flex justify-center py-8 px-2 overflow-hidden relative">
|
||||
<div className="h-full w-full max-w-5xl flex flex-col">
|
||||
<CopilotChat
|
||||
labels={{
|
||||
title: "AI Cartwright",
|
||||
initial: "Hello! I'm here to help with anything related to caving. Ask me about caves, techniques, safety, equipment, or anything else caving-related!",
|
||||
}}
|
||||
className="h-full w-full"
|
||||
/>
|
||||
</div>
|
||||
<LoadingOverlay />
|
||||
</div>
|
||||
</main>
|
||||
{/* CopilotKit Chat */}
|
||||
<ChatContent themeColor={themeColor} setThemeColor={setThemeColor} />
|
||||
</main>
|
||||
</CopilotKit>
|
||||
);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user