rohitg00/ai-engineering-from-scratch

Documented errors, page 3 of 5. Back to rohitg00/ai-engineering-from-scratch

Code / Message	Type	Severity	Tags
`-32602` params must be an object	error_code	error	json-rpc, invalid-params, typescript
d_model ( ) must be divisible by n_heads ( )	validation	error
length mismatch: pred	validation	error
name must be a non-empty string	validation	error	mcp, json-rpc, validation, tools
: proven-modern discovery retry failed	exception	error	mcp, timeout, network, discovery
positional_embedding must be Learned or Sinusoidal…	exception	error
predictions and references must align	validation	error
response content must be a non-empty block list	exception	error	messages-api, response-validation, python
no entry node set	exception	error
request body ended before Content-Length bytes arrived	validation	error
unknown tool	validation	error	mcp, tools, registry, lookup
unsupported tool	validation	error
invalid value for : not in enum	validation	error
: legacy initialize returned an error	exception	error	mcp, rpc-error, legacy, handshake
taxonomy artifact missing at	exception	error
: unsupported legacy protocol revision	exception	error	mcp, version-mismatch, legacy, handshake
Budget.step requires non-negative tokens and dollars	exception	error	typescript, validation, range-error, budget
inputResponses entries must be objects	validation	error	mcp, validation, elicitation, input-responses
unknown operator	validation	error
Unknown pattern	validation	error
unknown risk classification	validation	error
`-32020` Malformed Base64 MCP header value	validation	error
Cannot multiply shapes	validation	error
JSON-RPC error must be an object	validation	error
JSON-RPC error requires an integer code and string message	exception	error
target_vocab_size must be >=	validation	error
requiredTraceFields must be a list	validation	error
Transfer-Encoding is not supported	validation	error
`-32601` Method not found	validation	error
: missing required field	validation	error
This method only works for 2x2 matrices	validation	error
token_ids too short for the requested context_length	validation	error
api_key must be non-empty	validation	error
capacity must be > 0	exception	error
hidden must divide by heads	validation	error
ids must be (B, T), got shape	validation	error
invalid length for : below minLength	validation	error
max_offset must be < number of rows	validation	error
max_words must be positive	validation	error
top_k must be positive	validation	error
: protocol era not selected	exception	error	mcp, lifecycle, state-machine
response content must be a list	exception	error
generateSyntheticSpans: cfg.models must not be empty	exception	error
review_goal.content must be an object	validation	error	mcp, elicitation, validation, schema
tool_use stop without calls	exception	error
independent_requests must be positive	exception	error
: proven-modern discovery retry returned no result	exception	error	mcp, transport, response-shape, discovery
stride must be >= 1, got	validation	error
tool input must be an object	validation	error
hidden must divide heads	validation	error
shape mismatch image	validation	error
max_turns must be positive	exception	error
only got / results	exception	error
overlap must be non-negative and smaller than size	validation	error
seq_len must be >= 1, got	validation	error
schema required for must be a string list	validation	error
at least one modern and legacy version must be configured	validation	error
max_len must be >= 2 to fit INST and RESP	validation	error
JSON-RPC result must be an object	exception	error
: bounded legacy probe returned no result	exception	error	mcp, transport, response-shape, legacy
token and positional embeddings must share d_model	validation	error
unsafe node	exception	error
duplicate run for /	validation	error
max_context_length must be >= 1, got	validation	error
unknown event type	validation	error
response["error"]["message"]	exception	error
schema properties for	validation	error
adapter.model_id values must be unique within a single eval…	validation	error
adapter returned outputs for prompts in task	exception	error
ids must be long tensor, got	validation	error
rank cannot recv from itself	validation	error
image_bytes must not be empty	exception	error	vision, multimodal, empty-payload, python
invalid item count for	validation	error
n must be positive	validation	error
policy must be prefix-on-collision or reject	validation	error	mcp, argument-validation, registry
tool_use id is required	exception	error
Unsupported type	exception	error
weights length must match rankings length	validation	error
duplicate Content-Length headers are not allowed	validation	error
bins must be positive	validation	error
chunk_tokens must be > 0	validation	error
k not in [1, N= ]	validation	error
review_sample must contain text	validation	error	mcp, sampling, validation, content
unknown metric name	validation	error
image_size ( ) must be divisible by patch_size ( )	validation	error
mode-trials root must be an object	validation	error
confidences must be 1-D	validation	error
d_model must be even for sinusoidal, got	validation	error
rule missing required field	validation	error
user_text must not be empty	exception	error
input must be (B, T, D), got shape	validation	error
: malformed modern discovery result	exception	error	mcp, schema-validation, discovery, version-negotiation
message must be an object	validation	error
no positive weights match the eval names	validation	error
Unknown template	validation	error
tool names must be unique	validation	error
evaluation plan requires a non-empty cases list	validation	error
: missing response	exception	error	mcp, transport, response-shape
fixture severity out of	validation	error
ids must be non-empty	validation	error