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feat: improve compatiblity with certain apps (#72)

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* feat: enable modern packaging via pyproject.toml

uvx --from (...) chatmock should just work !

* feat(ollama): add version endpoint

* feat(logging): improve verbose diagnostics

* fix(stream): always send stop chunk
This commit is contained in:
Magniquick
2025-11-19 15:32:20 +05:30
committed by GitHub
parent a4b9ae9471
commit 13b1dddf75
11 changed files with 541 additions and 81 deletions
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2
chatmock/app.py
View File

@@ -10,6 +10,7 @@ from .routes_ollama import ollama_bp
def create_app(
verbose: bool = False,
verbose_obfuscation: bool = False,
reasoning_effort: str = "medium",
reasoning_summary: str = "auto",
reasoning_compat: str = "think-tags",
@@ -21,6 +22,7 @@ def create_app(
app.config.update(
VERBOSE=bool(verbose),
VERBOSE_OBFUSCATION=bool(verbose_obfuscation),
REASONING_EFFORT=reasoning_effort,
REASONING_SUMMARY=reasoning_summary,
REASONING_COMPAT=reasoning_compat,

8
chatmock/cli.py
View File

@@ -263,6 +263,7 @@ def cmd_serve(
host: str,
port: int,
verbose: bool,
verbose_obfuscation: bool,
reasoning_effort: str,
reasoning_summary: str,
reasoning_compat: str,
@@ -272,6 +273,7 @@ def cmd_serve(
) -> int:
app = create_app(
verbose=verbose,
verbose_obfuscation=verbose_obfuscation,
reasoning_effort=reasoning_effort,
reasoning_summary=reasoning_summary,
reasoning_compat=reasoning_compat,
@@ -296,6 +298,11 @@ def main() -> None:
p_serve.add_argument("--host", default="127.0.0.1")
p_serve.add_argument("--port", type=int, default=8000)
p_serve.add_argument("--verbose", action="store_true", help="Enable verbose logging")
p_serve.add_argument(
"--verbose-obfuscation",
action="store_true",
help="Also dump raw SSE/obfuscation events (in addition to --verbose request/response logs).",
)
p_serve.add_argument(
"--debug-model",
dest="debug_model",
@@ -355,6 +362,7 @@ def main() -> None:
host=args.host,
port=args.port,
verbose=args.verbose,
verbose_obfuscation=args.verbose_obfuscation,
reasoning_effort=args.reasoning_effort,
reasoning_summary=args.reasoning_summary,
reasoning_compat=args.reasoning_compat,

1
chatmock/prompt.md Symbolic link
View File

@@ -0,0 +1 @@
../prompt.md

1
chatmock/prompt_gpt5_codex.md Symbolic link
View File

@@ -0,0 +1 @@
../prompt_gpt5_codex.md

129
chatmock/routes_ollama.py
View File

@@ -19,6 +19,52 @@ from .utils import convert_chat_messages_to_responses_input, convert_tools_chat_
ollama_bp = Blueprint("ollama", __name__)
def _log_json(prefix: str, payload: Any) -> None:
try:
print(f"{prefix}\n{json.dumps(payload, indent=2, ensure_ascii=False)}")
except Exception:
try:
print(f"{prefix}\n{payload}")
except Exception:
pass
def _wrap_stream_logging(label: str, iterator, enabled: bool):
if not enabled:
return iterator
def _gen():
for chunk in iterator:
try:
text = (
chunk.decode("utf-8", errors="replace")
if isinstance(chunk, (bytes, bytearray))
else str(chunk)
)
print(f"{label}\n{text}")
except Exception:
pass
yield chunk
return _gen()
@ollama_bp.route("/api/version", methods=["GET"])
def ollama_version() -> Response:
if bool(current_app.config.get("VERBOSE")):
print("IN GET /api/version")
version = current_app.config.get("OLLAMA_VERSION", "0.12.10")
if not isinstance(version, str) or not version.strip():
version = "0.12.10"
payload = {"version": version}
resp = make_response(jsonify(payload), 200)
for k, v in build_cors_headers().items():
resp.headers.setdefault(k, v)
if bool(current_app.config.get("VERBOSE")):
_log_json("OUT GET /api/version", payload)
return resp
def _instructions_for_model(model: str) -> str:
base = current_app.config.get("BASE_INSTRUCTIONS", BASE_INSTRUCTIONS)
if model == "gpt-5-codex":
@@ -75,28 +121,34 @@ def ollama_tags() -> Response:
},
}
)
resp = make_response(jsonify({"models": models}), 200)
payload = {"models": models}
resp = make_response(jsonify(payload), 200)
for k, v in build_cors_headers().items():
resp.headers.setdefault(k, v)
if bool(current_app.config.get("VERBOSE")):
_log_json("OUT GET /api/tags", payload)
return resp
@ollama_bp.route("/api/show", methods=["POST"])
def ollama_show() -> Response:
verbose = bool(current_app.config.get("VERBOSE"))
raw_body = request.get_data(cache=True, as_text=True) or ""
if verbose:
try:
print("IN POST /api/show\n" + raw_body)
except Exception:
pass
try:
if verbose:
body_preview = (request.get_data(cache=True, as_text=True) or "")[:2000]
print("IN POST /api/show\n" + body_preview)
payload = json.loads(raw_body) if raw_body else (request.get_json(silent=True) or {})
except Exception:
pass
try:
payload = request.get_json(silent=True) or {}
except Exception:
payload = {}
model = payload.get("model")
if not isinstance(model, str) or not model.strip():
return jsonify({"error": "Model not found"}), 400
err = {"error": "Model not found"}
if verbose:
_log_json("OUT POST /api/show", err)
return jsonify(err), 400
v1_show_response = {
"modelfile": "# Modelfile generated by \"ollama show\"\n# To build a new Modelfile based on this one, replace the FROM line with:\n# FROM llava:latest\n\nFROM /models/blobs/sha256:placeholder\nTEMPLATE \"\"\"{{ .System }}\nUSER: {{ .Prompt }}\nASSISTANT: \"\"\"\nPARAMETER num_ctx 100000\nPARAMETER stop \"</s>\"\nPARAMETER stop \"USER:\"\nPARAMETER stop \"ASSISTANT:\"",
"parameters": "num_keep 24\nstop \"<|start_header_id|>\"\nstop \"<|end_header_id|>\"\nstop \"<|eot_id|>\"",
@@ -116,6 +168,8 @@ def ollama_show() -> Response:
},
"capabilities": ["completion", "vision", "tools", "thinking"],
}
if verbose:
_log_json("OUT POST /api/show", v1_show_response)
resp = make_response(jsonify(v1_show_response), 200)
for k, v in build_cors_headers().items():
resp.headers.setdefault(k, v)
@@ -132,10 +186,13 @@ def ollama_chat() -> Response:
try:
raw = request.get_data(cache=True, as_text=True) or ""
if verbose:
print("IN POST /api/chat\n" + (raw[:2000] if isinstance(raw, str) else ""))
print("IN POST /api/chat\n" + (raw if isinstance(raw, str) else ""))
payload = json.loads(raw) if raw else {}
except Exception:
return jsonify({"error": "Invalid JSON body"}), 400
err = {"error": "Invalid JSON body"}
if verbose:
_log_json("OUT POST /api/chat", err)
return jsonify(err), 400
model = payload.get("model")
raw_messages = payload.get("messages")
@@ -166,7 +223,10 @@ def ollama_chat() -> Response:
if not (isinstance(_t, dict) and isinstance(_t.get("type"), str)):
continue
if _t.get("type") not in ("web_search", "web_search_preview"):
return jsonify({"error": "Only web_search/web_search_preview are supported in responses_tools"}), 400
err = {"error": "Only web_search/web_search_preview are supported in responses_tools"}
if verbose:
_log_json("OUT POST /api/chat", err)
return jsonify(err), 400
extra_tools.append(_t)
if not extra_tools and bool(current_app.config.get("DEFAULT_WEB_SEARCH")):
rtc = payload.get("responses_tool_choice")
@@ -180,7 +240,10 @@ def ollama_chat() -> Response:
except Exception:
size = 0
if size > MAX_TOOLS_BYTES:
return jsonify({"error": "responses_tools too large"}), 400
err = {"error": "responses_tools too large"}
if verbose:
_log_json("OUT POST /api/chat", err)
return jsonify(err), 400
had_responses_tools = True
tools_responses = (tools_responses or []) + extra_tools
@@ -189,7 +252,10 @@ def ollama_chat() -> Response:
tool_choice = rtc
if not isinstance(model, str) or not isinstance(messages, list) or not messages:
return jsonify({"error": "Invalid request format"}), 400
err = {"error": "Invalid request format"}
if verbose:
_log_json("OUT POST /api/chat", err)
return jsonify(err), 400
input_items = convert_chat_messages_to_responses_input(messages)
@@ -205,6 +271,17 @@ def ollama_chat() -> Response:
reasoning_param=build_reasoning_param(reasoning_effort, reasoning_summary, model_reasoning),
)
if error_resp is not None:
if verbose:
try:
body = error_resp.get_data(as_text=True)
if body:
try:
parsed = json.loads(body)
except Exception:
parsed = body
_log_json("OUT POST /api/chat", parsed)
except Exception:
pass
return error_resp
record_rate_limits_from_response(upstream)
@@ -232,17 +309,17 @@ def ollama_chat() -> Response:
if err2 is None and upstream2 is not None and upstream2.status_code < 400:
upstream = upstream2
else:
return (
jsonify({"error": {"message": (err_body.get("error", {}) or {}).get("message", "Upstream error"), "code": "RESPONSES_TOOLS_REJECTED"}}),
(upstream2.status_code if upstream2 is not None else upstream.status_code),
)
err = {"error": {"message": (err_body.get("error", {}) or {}).get("message", "Upstream error"), "code": "RESPONSES_TOOLS_REJECTED"}}
if verbose:
_log_json("OUT POST /api/chat", err)
return jsonify(err), (upstream2.status_code if upstream2 is not None else upstream.status_code)
else:
if verbose:
print("/api/chat upstream error status=", upstream.status_code, " body:", json.dumps(err_body)[:2000])
return (
jsonify({"error": (err_body.get("error", {}) or {}).get("message", "Upstream error")}),
upstream.status_code,
)
err = {"error": (err_body.get("error", {}) or {}).get("message", "Upstream error")}
if verbose:
_log_json("OUT POST /api/chat", err)
return jsonify(err), upstream.status_code
created_at = datetime.datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%SZ")
model_out = model if isinstance(model, str) and model.strip() else normalized_model
@@ -408,8 +485,12 @@ def ollama_chat() -> Response:
}
done_obj.update(_OLLAMA_FAKE_EVAL)
yield json.dumps(done_obj) + "\n"
if verbose:
print("OUT POST /api/chat (streaming response)")
stream_iter = stream_with_context(_gen())
stream_iter = _wrap_stream_logging("STREAM OUT /api/chat", stream_iter, verbose)
resp = current_app.response_class(
stream_with_context(_gen()),
stream_iter,
status=200,
mimetype="application/x-ndjson",
)
@@ -481,6 +562,8 @@ def ollama_chat() -> Response:
"done_reason": "stop",
}
out_json.update(_OLLAMA_FAKE_EVAL)
if verbose:
_log_json("OUT POST /api/chat", out_json)
resp = make_response(jsonify(out_json), 200)
for k, v in build_cors_headers().items():
resp.headers.setdefault(k, v)

188
chatmock/routes_openai.py
View File

@@ -22,6 +22,36 @@ from .utils import (
openai_bp = Blueprint("openai", __name__)
def _log_json(prefix: str, payload: Any) -> None:
try:
print(f"{prefix}\n{json.dumps(payload, indent=2, ensure_ascii=False)}")
except Exception:
try:
print(f"{prefix}\n{payload}")
except Exception:
pass
def _wrap_stream_logging(label: str, iterator, enabled: bool):
if not enabled:
return iterator
def _gen():
for chunk in iterator:
try:
text = (
chunk.decode("utf-8", errors="replace")
if isinstance(chunk, (bytes, bytearray))
else str(chunk)
)
print(f"{label}\n{text}")
except Exception:
pass
yield chunk
return _gen()
def _instructions_for_model(model: str) -> str:
base = current_app.config.get("BASE_INSTRUCTIONS", BASE_INSTRUCTIONS)
if model == "gpt-5-codex" or model == "gpt-5.1-codex":
@@ -34,26 +64,28 @@ def _instructions_for_model(model: str) -> str:
@openai_bp.route("/v1/chat/completions", methods=["POST"])
def chat_completions() -> Response:
verbose = bool(current_app.config.get("VERBOSE"))
verbose_obfuscation = bool(current_app.config.get("VERBOSE_OBFUSCATION"))
reasoning_effort = current_app.config.get("REASONING_EFFORT", "medium")
reasoning_summary = current_app.config.get("REASONING_SUMMARY", "auto")
reasoning_compat = current_app.config.get("REASONING_COMPAT", "think-tags")
debug_model = current_app.config.get("DEBUG_MODEL")
raw = request.get_data(cache=True, as_text=True) or ""
if verbose:
try:
body_preview = (request.get_data(cache=True, as_text=True) or "")[:2000]
print("IN POST /v1/chat/completions\n" + body_preview)
print("IN POST /v1/chat/completions\n" + raw)
except Exception:
pass
raw = request.get_data(cache=True, as_text=True) or ""
try:
payload = json.loads(raw) if raw else {}
except Exception:
try:
payload = json.loads(raw.replace("\r", "").replace("\n", ""))
except Exception:
return jsonify({"error": {"message": "Invalid JSON body"}}), 400
err = {"error": {"message": "Invalid JSON body"}}
if verbose:
_log_json("OUT POST /v1/chat/completions", err)
return jsonify(err), 400
requested_model = payload.get("model")
model = normalize_model_name(requested_model, debug_model)
@@ -65,7 +97,10 @@ def chat_completions() -> Response:
if messages is None:
messages = []
if not isinstance(messages, list):
return jsonify({"error": {"message": "Request must include messages: []"}}), 400
err = {"error": {"message": "Request must include messages: []"}}
if verbose:
_log_json("OUT POST /v1/chat/completions", err)
return jsonify(err), 400
if isinstance(messages, list):
sys_idx = next((i for i, m in enumerate(messages) if isinstance(m, dict) and m.get("role") == "system"), None)
@@ -88,17 +123,15 @@ def chat_completions() -> Response:
if not (isinstance(_t, dict) and isinstance(_t.get("type"), str)):
continue
if _t.get("type") not in ("web_search", "web_search_preview"):
return (
jsonify(
{
"error": {
"message": "Only web_search/web_search_preview are supported in responses_tools",
"code": "RESPONSES_TOOL_UNSUPPORTED",
}
}
),
400,
)
err = {
"error": {
"message": "Only web_search/web_search_preview are supported in responses_tools",
"code": "RESPONSES_TOOL_UNSUPPORTED",
}
}
if verbose:
_log_json("OUT POST /v1/chat/completions", err)
return jsonify(err), 400
extra_tools.append(_t)
if not extra_tools and bool(current_app.config.get("DEFAULT_WEB_SEARCH")):
@@ -114,7 +147,10 @@ def chat_completions() -> Response:
except Exception:
size = 0
if size > MAX_TOOLS_BYTES:
return jsonify({"error": {"message": "responses_tools too large", "code": "RESPONSES_TOOLS_TOO_LARGE"}}), 400
err = {"error": {"message": "responses_tools too large", "code": "RESPONSES_TOOLS_TOO_LARGE"}}
if verbose:
_log_json("OUT POST /v1/chat/completions", err)
return jsonify(err), 400
had_responses_tools = True
tools_responses = (tools_responses or []) + extra_tools
@@ -142,6 +178,17 @@ def chat_completions() -> Response:
reasoning_param=reasoning_param,
)
if error_resp is not None:
if verbose:
try:
body = error_resp.get_data(as_text=True)
if body:
try:
parsed = json.loads(body)
except Exception:
parsed = body
_log_json("OUT POST /v1/chat/completions", parsed)
except Exception:
pass
return error_resp
record_rate_limits_from_response(upstream)
@@ -171,36 +218,38 @@ def chat_completions() -> Response:
if err2 is None and upstream2 is not None and upstream2.status_code < 400:
upstream = upstream2
else:
return (
jsonify(
{
"error": {
"message": (err_body.get("error", {}) or {}).get("message", "Upstream error"),
"code": "RESPONSES_TOOLS_REJECTED",
}
}
),
(upstream2.status_code if upstream2 is not None else upstream.status_code),
)
err = {
"error": {
"message": (err_body.get("error", {}) or {}).get("message", "Upstream error"),
"code": "RESPONSES_TOOLS_REJECTED",
}
}
if verbose:
_log_json("OUT POST /v1/chat/completions", err)
return jsonify(err), (upstream2.status_code if upstream2 is not None else upstream.status_code)
else:
if verbose:
print("Upstream error status=", upstream.status_code)
return (
jsonify({"error": {"message": (err_body.get("error", {}) or {}).get("message", "Upstream error")}}),
upstream.status_code,
)
err = {"error": {"message": (err_body.get("error", {}) or {}).get("message", "Upstream error")}}
if verbose:
_log_json("OUT POST /v1/chat/completions", err)
return jsonify(err), upstream.status_code
if is_stream:
if verbose:
print("OUT POST /v1/chat/completions (streaming response)")
stream_iter = sse_translate_chat(
upstream,
requested_model or model,
created,
verbose=verbose_obfuscation,
vlog=print if verbose_obfuscation else None,
reasoning_compat=reasoning_compat,
include_usage=include_usage,
)
stream_iter = _wrap_stream_logging("STREAM OUT /v1/chat/completions", stream_iter, verbose)
resp = Response(
sse_translate_chat(
upstream,
requested_model or model,
created,
verbose=verbose,
vlog=print if verbose else None,
reasoning_compat=reasoning_compat,
include_usage=include_usage,
),
stream_iter,
status=upstream.status_code,
mimetype="text/event-stream",
headers={"Cache-Control": "no-cache", "Connection": "keep-alive"},
@@ -301,6 +350,8 @@ def chat_completions() -> Response:
],
**({"usage": usage_obj} if usage_obj else {}),
}
if verbose:
_log_json("OUT POST /v1/chat/completions", completion)
resp = make_response(jsonify(completion), upstream.status_code)
for k, v in build_cors_headers().items():
resp.headers.setdefault(k, v)
@@ -310,15 +361,24 @@ def chat_completions() -> Response:
@openai_bp.route("/v1/completions", methods=["POST"])
def completions() -> Response:
verbose = bool(current_app.config.get("VERBOSE"))
verbose_obfuscation = bool(current_app.config.get("VERBOSE_OBFUSCATION"))
debug_model = current_app.config.get("DEBUG_MODEL")
reasoning_effort = current_app.config.get("REASONING_EFFORT", "medium")
reasoning_summary = current_app.config.get("REASONING_SUMMARY", "auto")
raw = request.get_data(cache=True, as_text=True) or ""
if verbose:
try:
print("IN POST /v1/completions\n" + raw)
except Exception:
pass
try:
payload = json.loads(raw) if raw else {}
except Exception:
return jsonify({"error": {"message": "Invalid JSON body"}}), 400
err = {"error": {"message": "Invalid JSON body"}}
if verbose:
_log_json("OUT POST /v1/completions", err)
return jsonify(err), 400
requested_model = payload.get("model")
model = normalize_model_name(requested_model, debug_model)
@@ -344,6 +404,17 @@ def completions() -> Response:
reasoning_param=reasoning_param,
)
if error_resp is not None:
if verbose:
try:
body = error_resp.get_data(as_text=True)
if body:
try:
parsed = json.loads(body)
except Exception:
parsed = body
_log_json("OUT POST /v1/completions", parsed)
except Exception:
pass
return error_resp
record_rate_limits_from_response(upstream)
@@ -354,21 +425,25 @@ def completions() -> Response:
err_body = json.loads(upstream.content.decode("utf-8", errors="ignore")) if upstream.content else {"raw": upstream.text}
except Exception:
err_body = {"raw": upstream.text}
return (
jsonify({"error": {"message": (err_body.get("error", {}) or {}).get("message", "Upstream error")}}),
upstream.status_code,
)
err = {"error": {"message": (err_body.get("error", {}) or {}).get("message", "Upstream error")}}
if verbose:
_log_json("OUT POST /v1/completions", err)
return jsonify(err), upstream.status_code
if stream_req:
if verbose:
print("OUT POST /v1/completions (streaming response)")
stream_iter = sse_translate_text(
upstream,
requested_model or model,
created,
verbose=verbose_obfuscation,
vlog=(print if verbose_obfuscation else None),
include_usage=include_usage,
)
stream_iter = _wrap_stream_logging("STREAM OUT /v1/completions", stream_iter, verbose)
resp = Response(
sse_translate_text(
upstream,
requested_model or model,
created,
verbose=verbose,
vlog=(print if verbose else None),
include_usage=include_usage,
),
stream_iter,
status=upstream.status_code,
mimetype="text/event-stream",
headers={"Cache-Control": "no-cache", "Connection": "keep-alive"},
@@ -430,6 +505,8 @@ def completions() -> Response:
],
**({"usage": usage_obj} if usage_obj else {}),
}
if verbose:
_log_json("OUT POST /v1/completions", completion)
resp = make_response(jsonify(completion), upstream.status_code)
for k, v in build_cors_headers().items():
resp.headers.setdefault(k, v)
@@ -458,4 +535,3 @@ def list_models() -> Response:
for k, v in build_cors_headers().items():
resp.headers.setdefault(k, v)
return resp

20
chatmock/upstream.py
View File

@@ -5,7 +5,7 @@ import time
from typing import Any, Dict, List, Tuple
import requests
from flask import Response, jsonify, make_response
from flask import Response, current_app, jsonify, make_response
from .config import CHATGPT_RESPONSES_URL
from .http import build_cors_headers
@@ -14,6 +14,16 @@ from flask import request as flask_request
from .utils import get_effective_chatgpt_auth
def _log_json(prefix: str, payload: Any) -> None:
try:
print(f"{prefix}\n{json.dumps(payload, indent=2, ensure_ascii=False)}")
except Exception:
try:
print(f"{prefix}\n{payload}")
except Exception:
pass
def normalize_model_name(name: str | None, debug_model: str | None = None) -> str:
if isinstance(debug_model, str) and debug_model.strip():
return debug_model.strip()
@@ -102,6 +112,14 @@ def start_upstream_request(
if reasoning_param is not None:
responses_payload["reasoning"] = reasoning_param
verbose = False
try:
verbose = bool(current_app.config.get("VERBOSE"))
except Exception:
verbose = False
if verbose:
_log_json("OUTBOUND >> ChatGPT Responses API payload", responses_payload)
headers = {
"Authorization": f"Bearer {access_token}",
"Content-Type": "application/json",

13
chatmock/utils.py
View File

@@ -389,6 +389,7 @@ def sse_translate_chat(
think_open = False
think_closed = False
saw_output = False
sent_stop_chunk = False
saw_any_summary = False
pending_summary_paragraph = False
upstream_usage = None
@@ -738,6 +739,7 @@ def sse_translate_chat(
"choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}],
}
yield f"data: {json.dumps(chunk)}\n\n".encode("utf-8")
sent_stop_chunk = True
elif kind == "response.failed":
err = evt.get("response", {}).get("error", {}).get("message", "response.failed")
chunk = {"error": {"message": err}}
@@ -757,6 +759,17 @@ def sse_translate_chat(
yield f"data: {json.dumps(close_chunk)}\n\n".encode("utf-8")
think_open = False
think_closed = True
if not sent_stop_chunk:
chunk = {
"id": response_id,
"object": "chat.completion.chunk",
"created": created,
"model": model,
"choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}],
}
yield f"data: {json.dumps(chunk)}\n\n".encode("utf-8")
sent_stop_chunk = True
if include_usage and upstream_usage:
try:
usage_chunk = {

4
docker/entrypoint.sh
View File

@@ -20,6 +20,9 @@ if [[ "$cmd" == "serve" ]]; then
if bool "${VERBOSE:-}" || bool "${CHATGPT_LOCAL_VERBOSE:-}"; then
ARGS+=(--verbose)
fi
if bool "${VERBOSE_OBFUSCATION:-}" || bool "${CHATGPT_LOCAL_VERBOSE_OBFUSCATION:-}"; then
ARGS+=(--verbose-obfuscation)
fi
if [[ "$#" -gt 0 ]]; then
ARGS+=("$@")
@@ -36,4 +39,3 @@ elif [[ "$cmd" == "login" ]]; then
else
exec "$cmd" "$@"
fi

29
pyproject.toml Normal file
View File

@@ -0,0 +1,29 @@
[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"
[project]
name = "chatmock"
version = "0.1.0"
requires-python = ">=3.13"
dependencies = [
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"click==8.2.1",
"flask==3.1.1",
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"markupsafe==3.0.2",
"requests==2.32.5",
"urllib3==2.5.0",
"werkzeug==3.1.3",
]
[project.scripts]
chatmock = "chatmock.cli:main"
[tool.setuptools.packages.find]
include = ["chatmock*"]
[tool.setuptools.package-data]
chatmock = ["prompt.md", "prompt_gpt5_codex.md"]

227
uv.lock generated Normal file
View File

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