refactor(samples): use public package imports and remove outdated fastapi-bugbot and middleware-coding-agent

pyproject.toml

@@ -144,13 +144,11 @@ context              = { workspace = true }
 django-hello         = { workspace = true }
 dynamic-tools        = { workspace = true }
 evaluators           = { workspace = true }
-fastapi-bugbot       = { workspace = true }
 flask-hello          = { workspace = true }
 gemini-code-execution = { workspace = true }
 gemini-context-caching = { workspace = true }
 google-genai-media   = { workspace = true }
 middleware           = { workspace = true }
-middleware-coding-agent = { workspace = true }
 ollama-sample        = { workspace = true }
 output-formats       = { workspace = true }
 prompts              = { workspace = true }

samples/README.md

@@ -28,7 +28,6 @@ Dev UI: http://localhost:4000. Most samples need `GEMINI_API_KEY`. See [plugins/
 | `context` | Pass context through `generate()`, flows, and tools |
 | `dynamic-tools` | Create a tool at runtime and trace plain functions |
 | `evaluators` | Run simple custom evaluators with `genkit eval:run` |
-| `fastapi-bugbot` | A small FastAPI app that reviews code |
 | `flask-hello` | Expose Genkit flows through Flask |
 | `gemini-code-execution` | Ask Gemini to write and run code |
 | `gemini-context-caching` | Cache a large source document for follow-up prompts |

samples/django-hello/README.md

@@ -1,6 +1,6 @@
 # Django Hello
 
-Serve a Genkit flow through Django and stream the model response back to the client. Mirrors `flask-hello` and `fastapi-bugbot` but uses Django's ASGI server and the `genkit-plugin-django` adaptor.
+Serve a Genkit flow through Django and stream the model response back to the client. Mirrors `flask-hello` but uses Django's ASGI server and the `genkit-plugin-django` adaptor.
 
 ```bash
 export GEMINI_API_KEY=your-api-key

samples/django-hello/recipes/views.py

@@ -24,8 +24,7 @@
 from genkit_google_genai import GoogleAI
 from pydantic import BaseModel, Field
 
-from genkit import Genkit, ModelResponse
-from genkit._core._action import ActionRunContext
+from genkit import ActionRunContext, Genkit, ModelResponse
 from genkit.plugin_api import RequestData
 
 ai = Genkit(

samples/flask-hello/src/main.py

@@ -23,9 +23,8 @@
 from genkit_google_genai import GoogleAI
 from pydantic import BaseModel, Field
 
-from genkit import Genkit, ModelResponse
-from genkit._core._action import ActionRunContext
-from genkit._core._context import RequestData
+from genkit import ActionRunContext, Genkit, ModelResponse
+from genkit.plugin_api import RequestData
 
 ai = Genkit(
     plugins=[GoogleAI()],