feat(wafer/deepseek-v4-flash): add new models [bot]#1591
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architkumar-truefoundry merged 3 commits intoJun 26, 2026
Merged
feat(wafer/deepseek-v4-flash): add new models [bot]#1591architkumar-truefoundry merged 3 commits into
architkumar-truefoundry merged 3 commits into
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Gateway test results
Failures (3)
ErrorCode snippetfrom openai import OpenAI
client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")
response = client.chat.completions.create(
model="test-v2-wafer/deepseek-v4-flash",
messages=[
{"role": "user", "content": "How to calculate 3^3^3^3? Think step by step and show all reasoning."},
],
reasoning_effort="medium",
stream=True,
)
_reasoning_detected = False
for chunk in response:
if chunk.choices and len(chunk.choices) > 0:
delta = chunk.choices[0].delta
if delta.content is not None:
print(delta.content, end="", flush=True)
if getattr(delta, "reasoning_content", None) is not None:
_reasoning_detected = True
if getattr(delta, "reasoning", None) is not None:
_reasoning_detected = True
_usage = getattr(chunk, "usage", None)
if _usage is not None:
_details = getattr(_usage, "completion_tokens_details", None)
if _details and getattr(_details, "reasoning_tokens", 0) > 0:
_reasoning_detected = True
if not _reasoning_detected:
raise Exception("VALIDATION FAILED: reasoning stream - no reasoning information in stream")
print("\nVALIDATION: reasoning stream SUCCESS")
ErrorCode snippetfrom openai import OpenAI
client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")
response = client.chat.completions.create(
model="test-v2-wafer/deepseek-v4-flash",
messages=[
{"role": "user", "content": "What is the capital of France?"},
],
stream=True,
)
for chunk in response:
if chunk.choices and len(chunk.choices) > 0:
delta = chunk.choices[0].delta
if delta.content is not None:
print(delta.content, end="", flush=True)
ErrorCode snippetfrom openai import OpenAI
client = OpenAI(api_key="***", base_url="https://internal.devtest.truefoundry.tech/api/llm")
tools = [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get the current weather for a location.",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city name, e.g. London",
},
},
"required": ["location"],
"additionalProperties": False,
},
"strict": True,
},
},
]
response = client.chat.completions.create(
model="test-v2-wafer/deepseek-v4-flash",
messages=[
{"role": "user", "content": "Use the get_weather tool to check the weather in London. You must call the tool, do not respond with plain text."},
],
tools=tools,
tool_choice="auto",
stream=True,
)
_tool_calls_made = False
for chunk in response:
if chunk.choices and len(chunk.choices) > 0:
delta = chunk.choices[0].delta
if delta.content is not None:
print(delta.content, end="", flush=True)
if delta.tool_calls:
_tool_calls_made = True
for _tc in delta.tool_calls:
if _tc.function:
print(_tc.function.arguments or "", end="", flush=True)
if not _tool_calls_made:
raise Exception("VALIDATION FAILED: tool-call stream - no tool calls received")
print("\nVALIDATION: tool-call stream SUCCESS")Successes (7)
Output
Output
Output
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Output
Output |
architkumar-truefoundry
approved these changes
Jun 26, 2026
architkumar-truefoundry
deleted the
bot/add-wafer-deepseek-v4-flash-20260624-093519
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Auto-generated by model-addition-agent for
wafer/deepseek-v4-flash.Note
Low Risk
Declarative provider metadata only; no application or routing logic changes.
Overview
Adds a new Wafer provider catalog entry for
deepseek-v4-flash, registering serverless chat with 1M context, token pricing (including cache-read), and capabilities such as function calling, structured/JSON output, prompt caching, and thinking mode.The model is marked active with chat and responses supported modes; sources point at Wafer docs and the pass API models list.
Reviewed by Cursor Bugbot for commit f481449. Bugbot is set up for automated code reviews on this repo. Configure here.