mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-16 14:29:30 +00:00
Merge branch 'llamastack:main' into model_unregisteration_error_message
This commit is contained in:
Omar Abdelwahab
GitHub
commit
aa09a44c94
1036 changed files with 314835 additions and 114394 deletions
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@ -222,16 +222,16 @@ def make_mcp_server(required_auth_token: str | None = None, tools: dict[str, Cal
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def run_server():
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try:
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||||
logger.info(f"Starting MCP server on port {port}")
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logger.debug(f"Starting MCP server on port {port}")
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server_instance.run()
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logger.info(f"MCP server on port {port} has stopped")
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logger.debug(f"MCP server on port {port} has stopped")
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except Exception as e:
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logger.error(f"MCP server failed to start on port {port}: {e}")
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raise
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# Start the server in a new thread
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server_thread = threading.Thread(target=run_server, daemon=True)
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logger.info(f"Starting MCP server thread on port {port}")
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logger.debug(f"Starting MCP server thread on port {port}")
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server_thread.start()
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# Polling until the server is ready
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@ -239,13 +239,13 @@ def make_mcp_server(required_auth_token: str | None = None, tools: dict[str, Cal
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start_time = time.time()
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server_url = f"http://localhost:{port}/sse"
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logger.info(f"Waiting for MCP server to be ready at {server_url}")
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logger.debug(f"Waiting for MCP server to be ready at {server_url}")
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while time.time() - start_time < timeout:
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try:
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response = httpx.get(server_url)
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if response.status_code in [200, 401]:
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logger.info(f"MCP server is ready on port {port} (status: {response.status_code})")
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logger.debug(f"MCP server is ready on port {port} (status: {response.status_code})")
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break
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except httpx.RequestError as e:
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logger.debug(f"Server not ready yet, retrying... ({e})")
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@ -261,14 +261,14 @@ def make_mcp_server(required_auth_token: str | None = None, tools: dict[str, Cal
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try:
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yield {"server_url": server_url}
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finally:
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logger.info(f"Shutting down MCP server on port {port}")
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logger.debug(f"Shutting down MCP server on port {port}")
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server_instance.should_exit = True
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time.sleep(0.5)
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# Force shutdown if still running
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if server_thread.is_alive():
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try:
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logger.info("Force shutting down server thread")
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logger.debug("Force shutting down server thread")
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if hasattr(server_instance, "servers") and server_instance.servers:
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for srv in server_instance.servers:
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srv.close()
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@ -125,21 +125,28 @@ pytest -s -v tests/integration/vector_io/ \
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## Recording Modes
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The testing system supports three modes controlled by environment variables:
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The testing system supports four modes controlled by environment variables:
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### REPLAY Mode (Default)
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Uses cached responses instead of making API calls:
|
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```bash
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pytest tests/integration/
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```
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### RECORD-IF-MISSING Mode (Recommended for adding new tests)
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Records only when no recording exists, otherwise replays. This is the preferred mode for iterative development:
|
||||
```bash
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||||
pytest tests/integration/inference/test_new_feature.py --inference-mode=record-if-missing
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```
|
||||
|
||||
### RECORD Mode
|
||||
Captures API interactions for later replay:
|
||||
**Force-records all API interactions**, overwriting existing recordings. Use with caution as this will re-record everything:
|
||||
```bash
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||||
pytest tests/integration/inference/test_new_feature.py --inference-mode=record
|
||||
```
|
||||
|
||||
### LIVE Mode
|
||||
Tests make real API calls (but not recorded):
|
||||
Tests make real API calls (not recorded):
|
||||
```bash
|
||||
pytest tests/integration/ --inference-mode=live
|
||||
```
|
||||
|
|
|
|||
|
|
@ -0,0 +1,58 @@
|
|||
{
|
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"test_id": "tests/integration/agents/test_agents.py::test_custom_tool_infinite_loop[ollama/llama3.2:3b-instruct-fp16]",
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"request": {
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"method": "POST",
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"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
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"headers": {},
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"body": {
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"model": "llama-guard3:1b",
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"messages": [
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{
|
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"role": "user",
|
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"content": "Task: Check if there is unsafe content in 'Tool' messages in conversations according our safety policy with the below categories.\n\n<BEGIN UNSAFE CONTENT CATEGORIES>\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN CONVERSATION>\n\nUser: Get the boiling point of polyjuice with a tool call.\n\nAssistant: \n\nTool: Error when running tool: get_boiling_point() missing 1 required positional argument: 'liquid_name'\n\n<END CONVERSATION>\n\nProvide your safety assessment for ONLY THE LAST Tool message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories."
|
||||
}
|
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],
|
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"stream": false,
|
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"temperature": 0.0
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},
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"endpoint": "/v1/chat/completions",
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"model": "llama-guard3:1b"
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},
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"response": {
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"body": {
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"__type__": "openai.types.chat.chat_completion.ChatCompletion",
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"__data__": {
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"id": "rec-000506671ad4",
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"choices": [
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"finish_reason": "stop",
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"index": 0,
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"logprobs": null,
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"message": {
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"content": "safe",
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"refusal": null,
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"role": "assistant",
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"annotations": null,
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}
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"created": 0,
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"model": "llama-guard3:1b",
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"object": "chat.completion",
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"service_tier": null,
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"system_fingerprint": "fp_ollama",
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"usage": {
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"completion_tokens": 2,
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"prompt_tokens": 422,
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"total_tokens": 424,
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"completion_tokens_details": null,
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"prompt_tokens_details": null
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}
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}
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},
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"is_streaming": false
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}
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}
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|
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@ -0,0 +1,551 @@
|
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{
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"request": {
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"method": "POST",
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"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
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"headers": {},
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"body": {
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"model": "llama3.2:3b-instruct-fp16",
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"messages": [
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{
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"role": "system",
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"content": "You are a helpful assistant"
|
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},
|
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{
|
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"role": "user",
|
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"content": "Give me a sentence that contains the word: hello"
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}
|
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],
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"max_tokens": 512,
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"stream": true,
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"temperature": 0.0001,
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"top_p": 0.9
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},
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"endpoint": "/v1/chat/completions",
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"model": "llama3.2:3b-instruct-fp16"
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"response": {
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388
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Normal file
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Normal file
|
|
@ -0,0 +1,388 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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tests/integration/agents/recordings/3a1a67912f65.json
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414
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@ -195,7 +195,7 @@
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}
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],
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}
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"system_fingerprint": "fp_ollama",
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}
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},
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{
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
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"__data__": {
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"id": "rec-f68cb05093a5",
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"choices": [
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{
|
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"delta": {
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"content": "ice",
|
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"refusal": null,
|
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"role": "assistant",
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"tool_calls": null
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},
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}
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],
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"service_tier": null,
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"system_fingerprint": "fp_ollama",
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}
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},
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{
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
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"tool_calls": null
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}
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],
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"system_fingerprint": "fp_ollama",
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"usage": null
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},
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
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"__data__": {
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{
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"delta": {
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"content": " -",
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"refusal": null,
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"role": "assistant",
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"tool_calls": null
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},
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}
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],
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"created": 0,
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"model": "llama3.2:3b-instruct-fp16",
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"object": "chat.completion.chunk",
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"service_tier": null,
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"system_fingerprint": "fp_ollama",
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"usage": null
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}
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},
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{
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
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"__data__": {
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"choices": [
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{
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"delta": {
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"content": "100",
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"function_call": null,
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"refusal": null,
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"role": "assistant",
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"tool_calls": null
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},
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"index": 0,
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}
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],
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"created": 0,
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"model": "llama3.2:3b-instruct-fp16",
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"object": "chat.completion.chunk",
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"service_tier": null,
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"system_fingerprint": "fp_ollama",
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"usage": null
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}
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},
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{
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
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"__data__": {
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"id": "rec-f68cb05093a5",
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"choices": [
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{
|
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"delta": {
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"content": "\u00b0C",
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"function_call": null,
|
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"refusal": null,
|
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"role": "assistant",
|
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"tool_calls": null
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},
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"finish_reason": null,
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"index": 0,
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"logprobs": null
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}
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],
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"created": 0,
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"model": "llama3.2:3b-instruct-fp16",
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"object": "chat.completion.chunk",
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"service_tier": null,
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"system_fingerprint": "fp_ollama",
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"usage": null
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}
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},
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{
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
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"__data__": {
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"id": "rec-f68cb05093a5",
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"choices": [
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{
|
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"delta": {
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"content": ".",
|
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"function_call": null,
|
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"refusal": null,
|
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"role": "assistant",
|
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"tool_calls": null
|
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},
|
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"finish_reason": null,
|
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"index": 0,
|
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"logprobs": null
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}
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],
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"created": 0,
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"model": "llama3.2:3b-instruct-fp16",
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"object": "chat.completion.chunk",
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"service_tier": null,
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"system_fingerprint": "fp_ollama",
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"usage": null
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}
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},
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{
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
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"__data__": {
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"id": "rec-f68cb05093a5",
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"choices": [
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{
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"delta": {
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"content": "",
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"function_call": null,
|
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"refusal": null,
|
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"role": "assistant",
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"tool_calls": null
|
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},
|
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"finish_reason": "stop",
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"index": 0,
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"logprobs": null
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}
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],
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"created": 0,
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"model": "llama3.2:3b-instruct-fp16",
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"object": "chat.completion.chunk",
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"service_tier": null,
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"system_fingerprint": "fp_ollama",
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"usage": null
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}
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}
|
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],
|
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"is_streaming": true
|
||||
}
|
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}
|
||||
|
|
@ -0,0 +1,119 @@
|
|||
{
|
||||
"request": {
|
||||
"method": "POST",
|
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"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
|
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"headers": {},
|
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"body": {
|
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"model": "llama3.2:3b-instruct-fp16",
|
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"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful assistant"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "What is the boiling point of the liquid polyjuice in celsius?"
|
||||
}
|
||||
],
|
||||
"max_tokens": 512,
|
||||
"stream": true,
|
||||
"temperature": 0.0001,
|
||||
"tool_choice": "required",
|
||||
"tools": [
|
||||
{
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "get_boiling_point",
|
||||
"description": "Returns the boiling point of a liquid in Celcius or Fahrenheit.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"liquid_name": {
|
||||
"type": "string",
|
||||
"description": "The name of the liquid"
|
||||
},
|
||||
"celcius": {
|
||||
"type": "boolean",
|
||||
"description": "Whether to return the boiling point in Celcius"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"liquid_name"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"top_p": 0.9
|
||||
},
|
||||
"endpoint": "/v1/chat/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
||||
"body": [
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "rec-9db34836a1a7",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": [
|
||||
{
|
||||
"index": 0,
|
||||
"id": "call_j2jdmkk1",
|
||||
"function": {
|
||||
"arguments": "{\"celcius\":true,\"liquid_name\":\"polyjuice\"}",
|
||||
"name": "get_boiling_point"
|
||||
},
|
||||
"type": "function"
|
||||
}
|
||||
]
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 0,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "rec-9db34836a1a7",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": "tool_calls",
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 0,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
}
|
||||
}
|
||||
|
|
@ -68,6 +68,7 @@ def agent_config(llama_stack_client, text_model_id):
|
|||
"temperature": 0.0001,
|
||||
"top_p": 0.9,
|
||||
},
|
||||
"max_tokens": 512,
|
||||
},
|
||||
tools=[],
|
||||
input_shields=available_shields,
|
||||
|
|
@ -88,6 +89,7 @@ def agent_config_without_safety(text_model_id):
|
|||
"temperature": 0.0001,
|
||||
"top_p": 0.9,
|
||||
},
|
||||
"max_tokens": 512,
|
||||
},
|
||||
tools=[],
|
||||
enable_session_persistence=False,
|
||||
|
|
@ -198,6 +200,7 @@ def test_tool_config(agent_config):
|
|||
"temperature": 1.0,
|
||||
"top_p": 0.9,
|
||||
},
|
||||
"max_tokens": 512,
|
||||
},
|
||||
toolgroups=[],
|
||||
enable_session_persistence=False,
|
||||
|
|
|
|||
|
|
@ -264,3 +264,36 @@ def test_function_call_output_response(openai_client, client_with_models, text_m
|
|||
assert (
|
||||
"sunny" in response2.output[0].content[0].text.lower() or "warm" in response2.output[0].content[0].text.lower()
|
||||
)
|
||||
|
||||
|
||||
def test_function_call_output_response_with_none_arguments(openai_client, client_with_models, text_model_id):
|
||||
"""Test handling of function call outputs in responses when function does not accept arguments."""
|
||||
if isinstance(client_with_models, LlamaStackAsLibraryClient):
|
||||
pytest.skip("OpenAI responses are not supported when testing with library client yet.")
|
||||
|
||||
client = openai_client
|
||||
|
||||
# First create a response that triggers a function call
|
||||
response = client.responses.create(
|
||||
model=text_model_id,
|
||||
input=[
|
||||
{
|
||||
"role": "user",
|
||||
"content": "what's the current time? You MUST call the `get_current_time` function to find out.",
|
||||
}
|
||||
],
|
||||
tools=[
|
||||
{
|
||||
"type": "function",
|
||||
"name": "get_current_time",
|
||||
"description": "Get the current time",
|
||||
"parameters": {},
|
||||
}
|
||||
],
|
||||
stream=False,
|
||||
)
|
||||
|
||||
# Verify we got a function call
|
||||
assert response.output[0].type == "function_call"
|
||||
assert response.output[0].arguments == "{}"
|
||||
_ = response.output[0].call_id
|
||||
|
|
|
|||
|
|
@ -0,0 +1,120 @@
|
|||
{
|
||||
"test_id": null,
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful assistant"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Call get_boiling_point tool and answer What is the boiling point of polyjuice?"
|
||||
}
|
||||
],
|
||||
"max_tokens": 512,
|
||||
"stream": true,
|
||||
"temperature": 0.0001,
|
||||
"tool_choice": "auto",
|
||||
"tools": [
|
||||
{
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "get_boiling_point",
|
||||
"description": "Returns the boiling point of a liquid in Celcius or Fahrenheit.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"liquid_name": {
|
||||
"type": "string",
|
||||
"description": "The name of the liquid"
|
||||
},
|
||||
"celcius": {
|
||||
"type": "boolean",
|
||||
"description": "Whether to return the boiling point in Celcius"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"liquid_name"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"top_p": 0.9
|
||||
},
|
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@ -1,4 +1,5 @@
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{
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"test_id": null,
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"request": {
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@ -0,0 +1,58 @@
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{
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}
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}
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}
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