Switch to LiteLLM Responses API; default gpt-5, fast gpt-5-nano (high reasoning)

.capy/pr-body-cap-2-41193abd.md

@@ -0,0 +1,32 @@
+## Summary
+Migrate Emplode remote model invocation to LiteLLM OpenAI Responses API and set default models to GPT‑5 family with high reasoning effort.
+
+## Changes
+- Default model set to `gpt-5`.
+- `emplode --fast` now uses `gpt-5-nano`.
+- Switched remote (non-local) inference from streaming Chat Completions to the Responses API via LiteLLM, with:
+  - `reasoning: { effort: "high" }` for both default and fast modes.
+  - `max_output_tokens` wired to Emplode’s `max_tokens`.
+  - Custom `run_code` tool defined for function-calling.
+- Updated CLI help text and user-facing messages from GPT-4/4o to GPT-5.
+- Local mode behavior remains unchanged.
+
+## Nature of change
+Enhancement / Refactor (API migration + model defaults).
+
+## Impact
+- Non-breaking for local mode.
+- Remote mode now uses the Responses API non-streaming flow. Assistant text and any `run_code` tool calls are parsed and executed as before. If streaming is required later, we can enable `stream=True` with the Responses API.
+- Azure path continues to work via `model=f"azure/<deployment>"` using the existing environment variables.
+
+## Why
+- Align Emplode with the newer OpenAI Responses API through LiteLLM for better support of reasoning settings and future features.
+- Standardize on GPT‑5 family and expose a fast option (`gpt-5-nano`) while keeping reasoning quality high.
+
+## Configuration notes
+- OPENAI_API_KEY required for OpenAI.
+- Optional: `--api_base` for custom OpenAI-compatible backends (uses `custom/<model>` path).
+- Azure: `AZURE_API_KEY` or `OPENAI_API_KEY`, `AZURE_API_BASE`, `AZURE_API_VERSION`, `AZURE_DEPLOYMENT_NAME` (wired to Responses API).
+
+
+₍ᐢ•(ܫ)•ᐢ₎ Generated by [Capy](https://capy.ai) ([view task](https://capy.ai/project/745bca9f-f0c1-4eec-a38c-65f51326313d/task/41193abd-f8aa-4b79-ac4d-8907503cb7cd))

emplode/cli.py

@@ -43,7 +43,7 @@ def cli(emplode):
                       '--fast',
                       action='store_true',
                       default=FAST_MODE,
-                      help='use gpt-4o-mini instead of gpt-4o')
+                      help='use gpt-5-nano instead of gpt-5')
   parser.add_argument('-l',
                       '--local',
                       action='store_true',
@@ -103,7 +103,7 @@ def cli(emplode):
   if args.yes:
     emplode.auto_run = True
   if args.fast:
-    emplode.model = "gpt-4o-mini"
+    emplode.model = "gpt-5-nano"
   if args.local and not args.falcon:
 
     rprint('', Markdown("**Emplode** will use `Code Llama` for local execution."), '')