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Guides integration of the FeatBit Python Server-Side SDK for backend services. Use when users ask about FeatBit feature flags in Python, fbclient usage, or server frameworks like Flask, Django, or FastAPI. Not for client-side use.
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Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
基于 SOC 职业分类
| name | featbit-python-sdk |
| description | Guides integration of the FeatBit Python Server-Side SDK for backend services. Use when users ask about FeatBit feature flags in Python, fbclient usage, or server frameworks like Flask, Django, or FastAPI. Not for client-side use. |
| appliesTo | ["**/*.py","**/app.py","**/main.py","**/server.py","**/views.py","**/api/**/*.py","**/backend/**/*.py"] |
Expert guidance for integrating the FeatBit Python Server-Side SDK in backend applications. This skill is based on the official SDK README and keeps details in reference files for quick navigation.
fbclient, FBClient, variation, variation_detail, or flag_tracker.Use this SDK to evaluate feature flags on the server. The SDK syncs flag data via websocket and stores it in memory by default. If you need a custom data source, use offline mode with bootstrap JSON.
pip install fb-python-sdk (Python 3.6–3.11).env_secret, event_url, streaming_url.set_config(...), then get() for a singleton client.FBClient(Config(...), start_wait=15).client.update_status_provider.wait_for_OKState().variation() for value, variation_detail() for value + reason.get_all_latest_flag_variations(user).key and name.flag_tracker.add_flag_value_maybe_changed_listener(...).flag_tracker.add_flag_value_changed_listener(...).Config(..., offline=True).client.initialize_from_external_json(json).client.track_metric(user, event_name, numeric_value).from fbclient import get, set_config
from fbclient.config import Config
set_config(Config(env_secret, event_url, streaming_url))
client = get()
if client.initialize:
user = {"key": "bot-id", "name": "bot"}
detail = client.variation_detail("flag-key", user, default=None)
print(detail.variation, detail.reason)
client.stop()
For a complete walkthrough and full examples, see the reference guides below.
FBClient instances for the app lifetime.variation_detail() for debugging: it returns evaluation reasons.stop() on shutdown: allow pending events to flush.