mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Farzad Sunavala
04e711cd55
* Python: Fix pyright errors and move search provider to core (#1546) * address pablo coments * update azure ai search pypi version to latest prev * init update * Fix MyPy type annotation errors in search provider - Add type annotation to DEFAULT_CONTEXT_PROMPT - Add type annotation to vectorizable_fields - Add union type annotation to vector_queries * Fix DEFAULT_CONTEXT_PROMPT MyPy error and update test - Rename DEFAULT_CONTEXT_PROMPT to _DEFAULT_SEARCH_CONTEXT_PROMPT to avoid conflict with base class Final variable - Update test to use new constant name - All core package tests passing (1123 passed) * Python: Move Azure AI Search to separate package per PR feedback Addresses reviewer feedback from PR #1546 by isolating the beta dependency (azure-search-documents==11.7.0b2) into a new agent-framework-aisearch package. Changes: - Created new agent-framework-aisearch package with complete structure - Moved AzureAISearchContextProvider from core to aisearch package - Added AzureAISearchSettings class for environment variable auto-loading - Added support for direct API key string (auto-converts to AzureKeyCredential) - Added azure_openai_api_key parameter for Knowledge Base authentication - Updated embedding_function type to Callable[[str], Awaitable[list[float]]] - Moved Role import to top-level imports - Maintained lazy loading through agent_framework.azure module - Removed beta dependency from core package - Updated all tests to use new package location - All quality checks pass: ruff format/lint, pyright, mypy (0 errors) - All 21 unit tests pass with 59% coverage Semantic search mode verified working with both API key and managed identity authentication. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Python: Clarify top_k parameter only applies to semantic mode Updated documentation to clarify that the top_k parameter only affects semantic search mode. In agentic mode, the server-side Knowledge Base determines retrieval based on query complexity and reasoning effort. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Python: Add Knowledge Base output mode and retrieval reasoning effort parameters Added support for configurable Knowledge Base behavior in agentic mode: - knowledge_base_output_mode: "extractive_data" (default) or "answer_synthesis" Some knowledge sources require answer_synthesis mode for proper functionality. - retrieval_reasoning_effort: "minimal" (default), "medium", or "low" Controls query planning complexity and multi-hop reasoning depth. These parameters give users fine-grained control over Knowledge Base behavior and enable support for knowledge sources that require answer synthesis. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * effort and outputmode query params * Address PR review feedback for Azure AI Search context provider * comments eduward * ed latest comments --------- Co-authored-by: Farzad Sunavala <farzad.sunavala.enovate.ai> Co-authored-by: farzad528 <farzad528@users.noreply.github.com> Co-authored-by: Claude <noreply@anthropic.com>
40 lines
1.2 KiB
Bash
40 lines
1.2 KiB
Bash
# Azure AI
|
|
AZURE_AI_PROJECT_ENDPOINT=""
|
|
AZURE_AI_MODEL_DEPLOYMENT_NAME=""
|
|
# Bing connection for web search (optional, used by samples with web search)
|
|
BING_CONNECTION_ID=""
|
|
# Azure AI Search (optional, used by AzureAISearchContextProvider samples)
|
|
AZURE_SEARCH_ENDPOINT=""
|
|
AZURE_SEARCH_API_KEY=""
|
|
AZURE_SEARCH_INDEX_NAME=""
|
|
AZURE_SEARCH_SEMANTIC_CONFIG=""
|
|
AZURE_SEARCH_KNOWLEDGE_BASE_NAME=""
|
|
# Note: For agentic mode Knowledge Bases, also set AZURE_OPENAI_ENDPOINT below
|
|
# (different from AZURE_AI_PROJECT_ENDPOINT - Knowledge Base needs OpenAI endpoint for model calls)
|
|
# OpenAI
|
|
OPENAI_API_KEY=""
|
|
OPENAI_CHAT_MODEL_ID=""
|
|
OPENAI_RESPONSES_MODEL_ID=""
|
|
# Azure OpenAI
|
|
AZURE_OPENAI_ENDPOINT=""
|
|
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=""
|
|
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME=""
|
|
# Mem0
|
|
MEM0_API_KEY=""
|
|
# Copilot Studio
|
|
COPILOTSTUDIOAGENT__ENVIRONMENTID=""
|
|
COPILOTSTUDIOAGENT__SCHEMANAME=""
|
|
COPILOTSTUDIOAGENT__TENANTID=""
|
|
COPILOTSTUDIOAGENT__AGENTAPPID=""
|
|
# Anthropic
|
|
ANTHROPIC_API_KEY=""
|
|
ANTHROPIC_MODEL=""
|
|
# Ollama
|
|
OLLAMA_ENDPOINT=""
|
|
OLLAMA_MODEL=""
|
|
# Observability
|
|
ENABLE_OTEL=true
|
|
ENABLE_SENSITIVE_DATA=true
|
|
OTLP_ENDPOINT="http://localhost:4317/"
|
|
# APPLICATIONINSIGHTS_CONNECTION_STRING="..."
|