type stringclasses 5
values | name stringlengths 1 55 | qualified_name stringlengths 5 147 | docstring stringlengths 15 4.52k ⌀ | filepath stringclasses 206
values | is_public bool 2
classes | is_private bool 2
classes | line_start int64 0 1.99k ⌀ | line_end int64 0 2.01k ⌀ | annotation stringclasses 14
values | returns stringclasses 308
values | value stringclasses 152
values | parameters listlengths 0 117 ⌀ | bases listlengths 0 3 ⌀ | parent_class stringclasses 376
values | api_element_summary stringlengths 199 33.8k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
class | RateLimitBucket | fenic._inference.rate_limit_strategy.RateLimitBucket | Manages a token bucket for rate limiting. | null | true | false | 32 | 53 | null | null | null | null | [] | null | Type: class
Member Name: RateLimitBucket
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitBucket
Docstring: Manages a token bucket for rate limiting.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | __init__ | fenic._inference.rate_limit_strategy.RateLimitBucket.__init__ | null | null | true | false | 34 | 37 | null | null | null | [
"self",
"max_capacity"
] | null | RateLimitBucket | Type: method
Member Name: __init__
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitBucket.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "max_capacity"]
Returns: none
Parent Class: RateLimitBucket |
method | _get_available_capacity | fenic._inference.rate_limit_strategy.RateLimitBucket._get_available_capacity | Calculates the available capacity based on the elapsed time and refill rate. | null | false | true | 39 | 48 | null | int | null | [
"self",
"curr_time"
] | null | RateLimitBucket | Type: method
Member Name: _get_available_capacity
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitBucket._get_available_capacity
Docstring: Calculates the available capacity based on the elapsed time and refill rate.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "... |
method | _set_capacity | fenic._inference.rate_limit_strategy.RateLimitBucket._set_capacity | Updates the current capacity and last update time. | null | false | true | 50 | 53 | null | null | null | [
"self",
"capacity",
"curr_time"
] | null | RateLimitBucket | Type: method
Member Name: _set_capacity
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitBucket._set_capacity
Docstring: Updates the current capacity and last update time.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "capacity", "curr_time"]
Returns: none
Parent C... |
class | RateLimitStrategy | fenic._inference.rate_limit_strategy.RateLimitStrategy | Base class for implementing rate limiting strategies for language model requests.
This abstract class defines the interface for rate limiting strategies that control
both request rate (RPM) and token usage rate (TPM) for language model API calls.
Subclasses must implement specific token rate limiting strategies.
Attr... | null | true | false | 56 | 122 | null | null | null | null | [
"ABC"
] | null | Type: class
Member Name: RateLimitStrategy
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitStrategy
Docstring: Base class for implementing rate limiting strategies for language model requests.
This abstract class defines the interface for rate limiting strategies that control
both request rate (RPM) and ... |
method | __init__ | fenic._inference.rate_limit_strategy.RateLimitStrategy.__init__ | null | null | true | false | 67 | 72 | null | null | null | [
"self",
"rpm"
] | null | RateLimitStrategy | Type: method
Member Name: __init__
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitStrategy.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "rpm"]
Returns: none
Parent Class: RateLimitStrategy |
method | backoff | fenic._inference.rate_limit_strategy.RateLimitStrategy.backoff | Backoff the request/token rate limit bucket. | null | true | false | 74 | 77 | null | int | null | [
"self",
"curr_time"
] | null | RateLimitStrategy | Type: method
Member Name: backoff
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitStrategy.backoff
Docstring: Backoff the request/token rate limit bucket.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "curr_time"]
Returns: int
Parent Class: RateLimitStrategy |
method | check_and_consume_rate_limit | fenic._inference.rate_limit_strategy.RateLimitStrategy.check_and_consume_rate_limit | Checks if there is enough capacity in both token and request rate limit buckets.
If there is sufficient capacity, this method will consume the required tokens
and request quota. This is an abstract method that must be implemented by subclasses.
Args:
token_estimate: A TokenEstimate object containing the estimated... | null | true | false | 79 | 96 | null | bool | null | [
"self",
"token_estimate"
] | null | RateLimitStrategy | Type: method
Member Name: check_and_consume_rate_limit
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitStrategy.check_and_consume_rate_limit
Docstring: Checks if there is enough capacity in both token and request rate limit buckets.
If there is sufficient capacity, this method will consume the required t... |
method | context_tokens_per_minute | fenic._inference.rate_limit_strategy.RateLimitStrategy.context_tokens_per_minute | Returns the total token rate limit per minute for this strategy.
This is an abstract method that must be implemented by subclasses to specify
their token rate limiting behavior.
Returns:
int: The total number of tokens allowed per minute. | null | true | false | 99 | 109 | null | int | null | [
"self"
] | null | RateLimitStrategy | Type: method
Member Name: context_tokens_per_minute
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitStrategy.context_tokens_per_minute
Docstring: Returns the total token rate limit per minute for this strategy.
This is an abstract method that must be implemented by subclasses to specify
their token rate ... |
method | settle | fenic._inference.rate_limit_strategy.RateLimitStrategy.settle | Correct reserved capacity against actual usage after a response.
Refunds (reserved - actual) when over-reserved, debits further when
under-reserved. Base implementation is a no-op for strategies that do not
track tokens (e.g. AdaptiveBackoff). MUST be called on the asyncio event
loop thread only (same thread as check_... | null | true | false | 112 | 122 | null | None | null | [
"self",
"reserved",
"actual"
] | null | RateLimitStrategy | Type: method
Member Name: settle
Qualified Name: fenic._inference.rate_limit_strategy.RateLimitStrategy.settle
Docstring: Correct reserved capacity against actual usage after a response.
Refunds (reserved - actual) when over-reserved, debits further when
under-reserved. Base implementation is a no-op for strategies th... |
class | AdaptiveBackoffRateLimitStrategy | fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy | Adaptive RPM limiter with multiplicative backoff and optional additive increase.
On backoff, reduces RPM by a multiplier and clears burst capacity. When no
provider RPM hint is active and no cooldown is in effect, increases RPM
additively after a configurable number of consecutive successful requests,
up to a configur... | null | true | false | 125 | 261 | null | null | null | null | [
"RateLimitStrategy"
] | null | Type: class
Member Name: AdaptiveBackoffRateLimitStrategy
Qualified Name: fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy
Docstring: Adaptive RPM limiter with multiplicative backoff and optional additive increase.
On backoff, reduces RPM by a multiplier and clears burst capacity. When no
provider... |
method | __init__ | fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.__init__ | null | null | true | false | 144 | 167 | null | null | null | [
"self",
"rpm",
"min_rpm",
"backoff_multiplier",
"max_rpm",
"additive_increment",
"increase_after_successes"
] | null | AdaptiveBackoffRateLimitStrategy | Type: method
Member Name: __init__
Qualified Name: fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "rpm", "min_rpm", "backoff_multiplier", "max_rpm", "additive_increment", "increase_aft... |
method | register_rate_limit_hint | fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.register_rate_limit_hint | Register provider-processed hints: rpm limit and absolute retry time.
Args:
rpm_hint: Max requests per minute allowed by provider (if known)
retry_at_epoch_seconds: Unix epoch seconds we should not send before (if known) | null | true | false | 169 | 196 | null | None | null | [
"self",
"rpm_hint",
"retry_at_epoch_seconds"
] | null | AdaptiveBackoffRateLimitStrategy | Type: method
Member Name: register_rate_limit_hint
Qualified Name: fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.register_rate_limit_hint
Docstring: Register provider-processed hints: rpm limit and absolute retry time.
Args:
rpm_hint: Max requests per minute allowed by provider (if known)
... |
method | backoff | fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.backoff | Backoff the request rate limit bucket. | null | true | false | 198 | 214 | null | int | null | [
"self",
"curr_time"
] | null | AdaptiveBackoffRateLimitStrategy | Type: method
Member Name: backoff
Qualified Name: fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.backoff
Docstring: Backoff the request rate limit bucket.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "curr_time"]
Returns: int
Parent Class: AdaptiveBackof... |
method | check_and_consume_rate_limit | fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.check_and_consume_rate_limit | null | null | true | false | 216 | 228 | null | bool | null | [
"self",
"token_estimate"
] | null | AdaptiveBackoffRateLimitStrategy | Type: method
Member Name: check_and_consume_rate_limit
Qualified Name: fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.check_and_consume_rate_limit
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "token_estimate"]
Returns: bool
Parent Class: ... |
method | context_tokens_per_minute | fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.context_tokens_per_minute | null | null | true | false | 230 | 232 | null | int | null | [
"self"
] | null | AdaptiveBackoffRateLimitStrategy | Type: method
Member Name: context_tokens_per_minute
Qualified Name: fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.context_tokens_per_minute
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: int
Parent Class: AdaptiveBackoffRateLimitS... |
method | __str__ | fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.__str__ | null | null | true | false | 234 | 235 | null | null | null | [
"self"
] | null | AdaptiveBackoffRateLimitStrategy | Type: method
Member Name: __str__
Qualified Name: fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy.__str__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: AdaptiveBackoffRateLimitStrategy |
method | _record_success_and_maybe_grow | fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy._record_success_and_maybe_grow | null | null | false | true | 238 | 261 | null | None | null | [
"self",
"now"
] | null | AdaptiveBackoffRateLimitStrategy | Type: method
Member Name: _record_success_and_maybe_grow
Qualified Name: fenic._inference.rate_limit_strategy.AdaptiveBackoffRateLimitStrategy._record_success_and_maybe_grow
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "now"]
Returns: None
Parent Class: Adaptiv... |
class | UnifiedTokenRateLimitStrategy | fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy | Rate limiting strategy that uses a single token bucket for both input and output tokens.
This strategy enforces both a request rate limit (RPM) and a unified token rate limit (TPM)
where input and output tokens share the same quota.
Attributes:
tpm: Total tokens per minute limit. Must be greater than 0.
unifi... | null | true | false | 264 | 342 | null | null | null | null | [
"RateLimitStrategy"
] | null | Type: class
Member Name: UnifiedTokenRateLimitStrategy
Qualified Name: fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy
Docstring: Rate limiting strategy that uses a single token bucket for both input and output tokens.
This strategy enforces both a request rate limit (RPM) and a unified token rate l... |
method | __init__ | fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.__init__ | null | null | true | false | 274 | 277 | null | null | null | [
"self",
"rpm",
"tpm"
] | null | UnifiedTokenRateLimitStrategy | Type: method
Member Name: __init__
Qualified Name: fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "rpm", "tpm"]
Returns: none
Parent Class: UnifiedTokenRateLimitStrategy |
method | backoff | fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.backoff | Backoff the request/token rate limit bucket. | null | true | false | 279 | 283 | null | int | null | [
"self",
"curr_time"
] | null | UnifiedTokenRateLimitStrategy | Type: method
Member Name: backoff
Qualified Name: fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.backoff
Docstring: Backoff the request/token rate limit bucket.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "curr_time"]
Returns: int
Parent Class: UnifiedToke... |
method | check_and_consume_rate_limit | fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.check_and_consume_rate_limit | Checks and consumes rate limits for both requests and total tokens.
This implementation uses a single token bucket for both input and output tokens,
enforcing the total token limit across all token types.
Args:
token_estimate: A TokenEstimate object containing the estimated input, output,
and to... | null | true | false | 285 | 311 | null | bool | null | [
"self",
"token_estimate"
] | null | UnifiedTokenRateLimitStrategy | Type: method
Member Name: check_and_consume_rate_limit
Qualified Name: fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.check_and_consume_rate_limit
Docstring: Checks and consumes rate limits for both requests and total tokens.
This implementation uses a single token bucket for both input and output ... |
method | _check_max_rate_limits | fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy._check_max_rate_limits | Checks if the strategy is configured with enough capacity to handle the request. | null | false | true | 313 | 317 | null | null | null | [
"self",
"token_estimate"
] | null | UnifiedTokenRateLimitStrategy | Type: method
Member Name: _check_max_rate_limits
Qualified Name: fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy._check_max_rate_limits
Docstring: Checks if the strategy is configured with enough capacity to handle the request.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parame... |
method | settle | fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.settle | null | null | true | false | 319 | 326 | null | None | null | [
"self",
"reserved",
"actual"
] | null | UnifiedTokenRateLimitStrategy | Type: method
Member Name: settle
Qualified Name: fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.settle
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "reserved", "actual"]
Returns: None
Parent Class: UnifiedTokenRateLimitStrategy |
method | context_tokens_per_minute | fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.context_tokens_per_minute | Returns the total token rate limit per minute.
Returns:
int: The total number of tokens allowed per minute (tpm). | null | true | false | 328 | 334 | null | int | null | [
"self"
] | null | UnifiedTokenRateLimitStrategy | Type: method
Member Name: context_tokens_per_minute
Qualified Name: fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.context_tokens_per_minute
Docstring: Returns the total token rate limit per minute.
Returns:
int: The total number of tokens allowed per minute (tpm).
Value: none
Annotation: none
... |
method | __str__ | fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.__str__ | Returns a string representation of the rate limit strategy.
Returns:
str: A string showing the RPM and TPM limits. | null | true | false | 336 | 342 | null | null | null | [
"self"
] | null | UnifiedTokenRateLimitStrategy | Type: method
Member Name: __str__
Qualified Name: fenic._inference.rate_limit_strategy.UnifiedTokenRateLimitStrategy.__str__
Docstring: Returns a string representation of the rate limit strategy.
Returns:
str: A string showing the RPM and TPM limits.
Value: none
Annotation: none
is Public? : true
is Private? : fal... |
class | SeparatedTokenRateLimitStrategy | fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy | Rate limiting strategy that uses separate token buckets for input and output tokens.
This strategy enforces both a request rate limit (RPM) and separate token rate limits
for input (input_tpm) and output (output_tpm) tokens.
Attributes:
input_tpm: Input tokens per minute limit. Must be greater than 0.
output_... | null | true | false | 345 | 438 | null | null | null | null | [
"RateLimitStrategy"
] | null | Type: class
Member Name: SeparatedTokenRateLimitStrategy
Qualified Name: fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy
Docstring: Rate limiting strategy that uses separate token buckets for input and output tokens.
This strategy enforces both a request rate limit (RPM) and separate token rate li... |
method | __init__ | fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.__init__ | null | null | true | false | 357 | 362 | null | null | null | [
"self",
"rpm",
"input_tpm",
"output_tpm"
] | null | SeparatedTokenRateLimitStrategy | Type: method
Member Name: __init__
Qualified Name: fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "rpm", "input_tpm", "output_tpm"]
Returns: none
Parent Class: SeparatedTokenRateLimitSt... |
method | backoff | fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.backoff | Backoff the request/token rate limit bucket. | null | true | false | 364 | 369 | null | int | null | [
"self",
"curr_time"
] | null | SeparatedTokenRateLimitStrategy | Type: method
Member Name: backoff
Qualified Name: fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.backoff
Docstring: Backoff the request/token rate limit bucket.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "curr_time"]
Returns: int
Parent Class: Separated... |
method | check_and_consume_rate_limit | fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.check_and_consume_rate_limit | Checks and consumes rate limits for requests, input tokens, and output tokens.
This implementation uses separate token buckets for input and output tokens,
enforcing separate limits for each token type.
Args:
token_estimate: A TokenEstimate object containing the estimated input, output,
and tota... | null | true | false | 371 | 400 | null | bool | null | [
"self",
"token_estimate"
] | null | SeparatedTokenRateLimitStrategy | Type: method
Member Name: check_and_consume_rate_limit
Qualified Name: fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.check_and_consume_rate_limit
Docstring: Checks and consumes rate limits for requests, input tokens, and output tokens.
This implementation uses separate token buckets for input an... |
method | _check_max_rate_limits | fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy._check_max_rate_limits | Checks if the strategy is configured with enough capacity to handle the request. | null | false | true | 402 | 408 | null | null | null | [
"self",
"token_estimate"
] | null | SeparatedTokenRateLimitStrategy | Type: method
Member Name: _check_max_rate_limits
Qualified Name: fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy._check_max_rate_limits
Docstring: Checks if the strategy is configured with enough capacity to handle the request.
Value: none
Annotation: none
is Public? : false
is Private? : true
Para... |
method | settle | fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.settle | null | null | true | false | 410 | 422 | null | None | null | [
"self",
"reserved",
"actual"
] | null | SeparatedTokenRateLimitStrategy | Type: method
Member Name: settle
Qualified Name: fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.settle
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "reserved", "actual"]
Returns: None
Parent Class: SeparatedTokenRateLimitStrategy |
method | context_tokens_per_minute | fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.context_tokens_per_minute | Returns the total token rate limit per minute.
Returns:
int: The sum of input and output tokens allowed per minute. | null | true | false | 424 | 430 | null | int | null | [
"self"
] | null | SeparatedTokenRateLimitStrategy | Type: method
Member Name: context_tokens_per_minute
Qualified Name: fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.context_tokens_per_minute
Docstring: Returns the total token rate limit per minute.
Returns:
int: The sum of input and output tokens allowed per minute.
Value: none
Annotation: n... |
method | __str__ | fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.__str__ | Returns a string representation of the rate limit strategy.
Returns:
str: A string showing the RPM, input TPM, and output TPM limits. | null | true | false | 432 | 438 | null | null | null | [
"self"
] | null | SeparatedTokenRateLimitStrategy | Type: method
Member Name: __str__
Qualified Name: fenic._inference.rate_limit_strategy.SeparatedTokenRateLimitStrategy.__str__
Docstring: Returns a string representation of the rate limit strategy.
Returns:
str: A string showing the RPM, input TPM, and output TPM limits.
Value: none
Annotation: none
is Public? : t... |
module | profile_hash_mixin | fenic._inference.profile_hash_mixin | Shared profile hashing helper for model clients. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/_inference/profile_hash_mixin.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: profile_hash_mixin
Qualified Name: fenic._inference.profile_hash_mixin
Docstring: Shared profile hashing helper for model clients.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | logger | fenic._inference.profile_hash_mixin.logger | null | null | true | false | 14 | 14 | null | null | logging.getLogger(__name__) | null | null | null | Type: attribute
Member Name: logger
Qualified Name: fenic._inference.profile_hash_mixin.logger
Docstring: none
Value: logging.getLogger(__name__)
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | ProfileHashMixin | fenic._inference.profile_hash_mixin.ProfileHashMixin | Mixin that provides deterministic hashing of profile configurations. | null | true | false | 17 | 54 | null | null | null | null | [
"ABC"
] | null | Type: class
Member Name: ProfileHashMixin
Qualified Name: fenic._inference.profile_hash_mixin.ProfileHashMixin
Docstring: Mixin that provides deterministic hashing of profile configurations.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | _resolve_profile_for_hash | fenic._inference.profile_hash_mixin.ProfileHashMixin._resolve_profile_for_hash | Return the provider-specific profile configuration for hashing. | null | false | true | 20 | 24 | null | Optional[BaseProfileConfiguration] | null | [
"self",
"profile_name"
] | null | ProfileHashMixin | Type: method
Member Name: _resolve_profile_for_hash
Qualified Name: fenic._inference.profile_hash_mixin.ProfileHashMixin._resolve_profile_for_hash
Docstring: Return the provider-specific profile configuration for hashing.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "profile_n... |
method | get_profile_hash | fenic._inference.profile_hash_mixin.ProfileHashMixin.get_profile_hash | See ModelClient.get_profile_hash. | null | true | false | 26 | 42 | null | Optional[str] | null | [
"self",
"profile_name"
] | null | ProfileHashMixin | Type: method
Member Name: get_profile_hash
Qualified Name: fenic._inference.profile_hash_mixin.ProfileHashMixin.get_profile_hash
Docstring: See ModelClient.get_profile_hash.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "profile_name"]
Returns: Optional[str]
Parent Class: Profi... |
method | _serialize_profile | fenic._inference.profile_hash_mixin.ProfileHashMixin._serialize_profile | Serialize profile to a JSON string with stable ordering.
Args:
profile: The profile to serialize.
Returns:
A JSON string representing the profile. | null | false | true | 44 | 54 | null | str | null | [
"profile"
] | null | ProfileHashMixin | Type: method
Member Name: _serialize_profile
Qualified Name: fenic._inference.profile_hash_mixin.ProfileHashMixin._serialize_profile
Docstring: Serialize profile to a JSON string with stable ordering.
Args:
profile: The profile to serialize.
Returns:
A JSON string representing the profile.
Value: none
Annotat... |
module | cohere | fenic._inference.cohere | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/_inference/cohere/__init__.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: cohere
Qualified Name: fenic._inference.cohere
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
module | cohere_provider | fenic._inference.cohere.cohere_provider | Cohere model provider implementation. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/_inference/cohere/cohere_provider.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: cohere_provider
Qualified Name: fenic._inference.cohere.cohere_provider
Docstring: Cohere model provider implementation.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | logger | fenic._inference.cohere.cohere_provider.logger | null | null | true | false | 10 | 10 | null | null | logging.getLogger(__name__) | null | null | null | Type: attribute
Member Name: logger
Qualified Name: fenic._inference.cohere.cohere_provider.logger
Docstring: none
Value: logging.getLogger(__name__)
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | CohereModelProvider | fenic._inference.cohere.cohere_provider.CohereModelProvider | Cohere implementation of ModelProvider. | null | true | false | 13 | 38 | null | null | null | null | [
"ModelProviderClass"
] | null | Type: class
Member Name: CohereModelProvider
Qualified Name: fenic._inference.cohere.cohere_provider.CohereModelProvider
Docstring: Cohere implementation of ModelProvider.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
method | create_client | fenic._inference.cohere.cohere_provider.CohereModelProvider.create_client | Create a Cohere client instance. | null | true | false | 20 | 22 | null | null | null | [
"self"
] | null | CohereModelProvider | Type: method
Member Name: create_client
Qualified Name: fenic._inference.cohere.cohere_provider.CohereModelProvider.create_client
Docstring: Create a Cohere client instance.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: CohereModelProvider |
method | create_aio_client | fenic._inference.cohere.cohere_provider.CohereModelProvider.create_aio_client | Create a Cohere async client instance. | null | true | false | 24 | 26 | null | null | null | [
"self"
] | null | CohereModelProvider | Type: method
Member Name: create_aio_client
Qualified Name: fenic._inference.cohere.cohere_provider.CohereModelProvider.create_aio_client
Docstring: Create a Cohere async client instance.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Class: CohereModelProvi... |
method | validate_api_key | fenic._inference.cohere.cohere_provider.CohereModelProvider.validate_api_key | Validate Cohere API key by making a minimal API call. | null | true | false | 28 | 32 | null | None | null | [
"self"
] | null | CohereModelProvider | Type: method
Member Name: validate_api_key
Qualified Name: fenic._inference.cohere.cohere_provider.CohereModelProvider.validate_api_key
Docstring: Validate Cohere API key by making a minimal API call.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: None
Parent Class: Coh... |
method | _get_api_key | fenic._inference.cohere.cohere_provider.CohereModelProvider._get_api_key | Get the Cohere API key. | null | false | true | 34 | 38 | null | str | null | [
"self"
] | null | CohereModelProvider | Type: method
Member Name: _get_api_key
Qualified Name: fenic._inference.cohere.cohere_provider.CohereModelProvider._get_api_key
Docstring: Get the Cohere API key.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: str
Parent Class: CohereModelProvider |
module | cohere_profile_manager | fenic._inference.cohere.cohere_profile_manager | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/_inference/cohere/cohere_profile_manager.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: cohere_profile_manager
Qualified Name: fenic._inference.cohere.cohere_profile_manager
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | CohereEmbeddingsProfileConfiguration | fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileConfiguration | Configuration for Cohere embeddings model profiles.
Attributes:
output_dimensionality: The desired output dimensionality for embeddings
input_type: The type of input text (search_query, search_document, classification, clustering)
Note:
Cohere supports other embedding types, but we only support float emb... | null | true | false | 12 | 24 | null | null | null | null | [
"BaseProfileConfiguration"
] | null | Type: class
Member Name: CohereEmbeddingsProfileConfiguration
Qualified Name: fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileConfiguration
Docstring: Configuration for Cohere embeddings model profiles.
Attributes:
output_dimensionality: The desired output dimensionality for embeddings
in... |
method | __init__ | fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileConfiguration.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"output_dimensionality",
"input_type"
] | null | CohereEmbeddingsProfileConfiguration | Type: method
Member Name: __init__
Qualified Name: fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileConfiguration.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "output_dimensionality", "input_type"]
Returns: None
Parent Class: Coher... |
class | CohereEmbeddingsProfileManager | fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileManager | Manages Cohere-specific profile configurations for embeddings. | null | true | false | 26 | 61 | null | null | null | null | [
"ProfileManager[ResolvedCohereModelProfile, CohereEmbeddingsProfileConfiguration]"
] | null | Type: class
Member Name: CohereEmbeddingsProfileManager
Qualified Name: fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileManager
Docstring: Manages Cohere-specific profile configurations for embeddings.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: non... |
method | __init__ | fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileManager.__init__ | null | null | true | false | 29 | 36 | null | null | null | [
"self",
"model_parameters",
"profile_configurations",
"default_profile_name"
] | null | CohereEmbeddingsProfileManager | Type: method
Member Name: __init__
Qualified Name: fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileManager.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "model_parameters", "profile_configurations", "default_profile_name"]
Returns:... |
method | _process_profile | fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileManager._process_profile | Process Cohere profile configuration.
Args:
name: Name of the profile
profile: The profile configuration to process
Returns:
Processed Cohere-specific profile configuration
Raises:
ConfigurationError: If dimensionality is invalid | null | false | true | 38 | 57 | null | CohereEmbeddingsProfileConfiguration | null | [
"self",
"profile"
] | null | CohereEmbeddingsProfileManager | Type: method
Member Name: _process_profile
Qualified Name: fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileManager._process_profile
Docstring: Process Cohere profile configuration.
Args:
name: Name of the profile
profile: The profile configuration to process
Returns:
Processed Co... |
method | get_default_profile | fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileManager.get_default_profile | Get default Cohere configuration. | null | true | false | 59 | 61 | null | CohereEmbeddingsProfileConfiguration | null | [
"self"
] | null | CohereEmbeddingsProfileManager | Type: method
Member Name: get_default_profile
Qualified Name: fenic._inference.cohere.cohere_profile_manager.CohereEmbeddingsProfileManager.get_default_profile
Docstring: Get default Cohere configuration.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: CohereEmbeddingsPr... |
module | cohere_batch_embeddings_client | fenic._inference.cohere.cohere_batch_embeddings_client | null | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/_inference/cohere/cohere_batch_embeddings_client.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: cohere_batch_embeddings_client
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | logger | fenic._inference.cohere.cohere_batch_embeddings_client.logger | null | null | true | false | 27 | 27 | null | null | logging.getLogger(__name__) | null | null | null | Type: attribute
Member Name: logger
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client.logger
Docstring: none
Value: logging.getLogger(__name__)
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | CohereBatchEmbeddingsClient | fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient | Client for making batch requests to Cohere's embeddings API. | null | true | false | 30 | 180 | null | null | null | null | [
"ProfileHashMixin",
"ModelClient[FenicEmbeddingsRequest, List[float]]"
] | null | Type: class
Member Name: CohereBatchEmbeddingsClient
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient
Docstring: Client for making batch requests to Cohere's embeddings API.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: non... |
method | __init__ | fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.__init__ | Initialize the Cohere batch embeddings client.
Args:
rate_limit_strategy: Strategy for handling rate limits
model: The model to use
queue_size: Size of the request queue
max_backoffs: Maximum number of backoff attempts
preset_configurations: Dictionary of preset configurations
default_preset_na... | null | true | false | 35 | 76 | null | null | null | [
"self",
"rate_limit_strategy",
"model",
"queue_size",
"max_backoffs",
"profile_configurations",
"default_profile_name"
] | null | CohereBatchEmbeddingsClient | Type: method
Member Name: __init__
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.__init__
Docstring: Initialize the Cohere batch embeddings client.
Args:
rate_limit_strategy: Strategy for handling rate limits
model: The model to use
queue_size: Size of t... |
method | make_single_request | fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.make_single_request | Make a single request to the Cohere embeddings API.
Args:
request: The embedding request to process
Returns:
List of embedding floats, or an exception wrapper | null | true | false | 80 | 143 | null | Union[None, List[float], TransientException, FatalException] | null | [
"self",
"request"
] | null | CohereBatchEmbeddingsClient | Type: method
Member Name: make_single_request
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.make_single_request
Docstring: Make a single request to the Cohere embeddings API.
Args:
request: The embedding request to process
Returns:
List of embedding flo... |
method | estimate_tokens_for_request | fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.estimate_tokens_for_request | Estimate the number of tokens for a request.
Args:
request: The request to estimate tokens for
Returns:
TokenEstimate: The estimated token usage | null | true | false | 145 | 157 | null | TokenEstimate | null | [
"self",
"request"
] | null | CohereBatchEmbeddingsClient | Type: method
Member Name: estimate_tokens_for_request
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.estimate_tokens_for_request
Docstring: Estimate the number of tokens for a request.
Args:
request: The request to estimate tokens for
Returns:
TokenEstim... |
method | _get_max_output_token_request_limit | fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient._get_max_output_token_request_limit | Get maximum output tokens (always 0 for embeddings).
Returns:
0 since embeddings don't produce text tokens | null | false | true | 159 | 165 | null | int | null | [
"self",
"request"
] | null | CohereBatchEmbeddingsClient | Type: method
Member Name: _get_max_output_token_request_limit
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient._get_max_output_token_request_limit
Docstring: Get maximum output tokens (always 0 for embeddings).
Returns:
0 since embeddings don't produce text tokens
... |
method | reset_metrics | fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.reset_metrics | Reset all metrics to their initial values. | null | true | false | 167 | 169 | null | null | null | [
"self"
] | null | CohereBatchEmbeddingsClient | Type: method
Member Name: reset_metrics
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.reset_metrics
Docstring: Reset all metrics to their initial values.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: none
Parent Clas... |
method | get_metrics | fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.get_metrics | Get the current metrics.
Returns:
The current metrics | null | true | false | 171 | 177 | null | RMMetrics | null | [
"self"
] | null | CohereBatchEmbeddingsClient | Type: method
Member Name: get_metrics
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient.get_metrics
Docstring: Get the current metrics.
Returns:
The current metrics
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: RMMe... |
method | _resolve_profile_for_hash | fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient._resolve_profile_for_hash | null | null | false | true | 179 | 180 | null | CohereEmbeddingsProfileConfiguration | null | [
"self",
"profile_name"
] | null | CohereBatchEmbeddingsClient | Type: method
Member Name: _resolve_profile_for_hash
Qualified Name: fenic._inference.cohere.cohere_batch_embeddings_client.CohereBatchEmbeddingsClient._resolve_profile_for_hash
Docstring: none
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self", "profile_name"]
Returns: CohereEmbeddin... |
module | cache | fenic._inference.cache | LLM response caching for Fenic. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/_inference/cache/__init__.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: cache
Qualified Name: fenic._inference.cache
Docstring: LLM response caching for Fenic.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | __all__ | fenic._inference.cache.__all__ | null | null | false | false | 6 | 11 | null | null | ['CachedResponse', 'CacheStats', 'LLMResponseCache', 'SQLiteLLMCache'] | null | null | null | Type: attribute
Member Name: __all__
Qualified Name: fenic._inference.cache.__all__
Docstring: none
Value: ['CachedResponse', 'CacheStats', 'LLMResponseCache', 'SQLiteLLMCache']
Annotation: none
is Public? : false
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
module | sqlite_cache | fenic._inference.cache.sqlite_cache | SQLite-backed LLM response cache implementation. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/_inference/cache/sqlite_cache.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: sqlite_cache
Qualified Name: fenic._inference.cache.sqlite_cache
Docstring: SQLite-backed LLM response cache implementation.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | logger | fenic._inference.cache.sqlite_cache.logger | null | null | true | false | 15 | 15 | null | null | logging.getLogger(__name__) | null | null | null | Type: attribute
Member Name: logger
Qualified Name: fenic._inference.cache.sqlite_cache.logger
Docstring: none
Value: logging.getLogger(__name__)
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
attribute | SQLITE_MAX_CONNECTIONS_DEFAULT | fenic._inference.cache.sqlite_cache.SQLITE_MAX_CONNECTIONS_DEFAULT | null | null | true | false | 16 | 16 | null | null | 3 | null | null | null | Type: attribute
Member Name: SQLITE_MAX_CONNECTIONS_DEFAULT
Qualified Name: fenic._inference.cache.sqlite_cache.SQLITE_MAX_CONNECTIONS_DEFAULT
Docstring: none
Value: 3
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | SQLiteLLMCache | fenic._inference.cache.sqlite_cache.SQLiteLLMCache | SQLite-backed LLM response cache with normalized storage.
Thread-safe implementation using thread-local connections and WAL mode.
Stores responses in a normalized schema with JSON serialization for complex
data.
Attributes:
db_path: Path to SQLite database file.
ttl_seconds: Time-to-live in seconds for cached... | null | true | false | 18 | 723 | null | null | null | null | [
"LLMResponseCache"
] | null | Type: class
Member Name: SQLiteLLMCache
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache
Docstring: SQLite-backed LLM response cache with normalized storage.
Thread-safe implementation using thread-local connections and WAL mode.
Stores responses in a normalized schema with JSON serialization for com... |
method | __init__ | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.__init__ | Initialize SQLite cache.
Args:
db_path: Path to SQLite database. If None, uses ~/.fenic/llm_cache.db.
ttl_seconds: Time-to-live for cached entries (default: 3600 = 1 hour).
max_size_mb: Maximum cache size before LRU eviction (default: 1000 MB).
namespace: Cache namespace for isolation (default: "defaul... | null | true | false | 78 | 133 | null | null | null | [
"self",
"db_path",
"ttl_seconds",
"max_size_mb",
"namespace",
"max_connections"
] | null | SQLiteLLMCache | Type: method
Member Name: __init__
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.__init__
Docstring: Initialize SQLite cache.
Args:
db_path: Path to SQLite database. If None, uses ~/.fenic/llm_cache.db.
ttl_seconds: Time-to-live for cached entries (default: 3600 = 1 hour).
max_size_mb:... |
method | _create_connection | fenic._inference.cache.sqlite_cache.SQLiteLLMCache._create_connection | Create a new database connection with proper settings.
Returns:
Configured SQLite connection with WAL mode enabled. | null | false | true | 135 | 155 | null | sqlite3.Connection | null | [
"self"
] | null | SQLiteLLMCache | Type: method
Member Name: _create_connection
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache._create_connection
Docstring: Create a new database connection with proper settings.
Returns:
Configured SQLite connection with WAL mode enabled.
Value: none
Annotation: none
is Public? : false
is Privat... |
method | get_connection | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.get_connection | Get a connection from the pool.
Returns:
A database connection from the pool.
Raises:
ValueError: If cache has been closed. | null | true | false | 157 | 183 | null | sqlite3.Connection | null | [
"self"
] | null | SQLiteLLMCache | Type: method
Member Name: get_connection
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.get_connection
Docstring: Get a connection from the pool.
Returns:
A database connection from the pool.
Raises:
ValueError: If cache has been closed.
Value: none
Annotation: none
is Public? : true
is Pr... |
method | release_connection | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.release_connection | Return a connection to the pool.
Args:
conn: Connection to return to the pool. | null | true | false | 185 | 192 | null | null | null | [
"self",
"conn"
] | null | SQLiteLLMCache | Type: method
Member Name: release_connection
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.release_connection
Docstring: Return a connection to the pool.
Args:
conn: Connection to return to the pool.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "conn"... |
method | _handle_corruption | fenic._inference.cache.sqlite_cache.SQLiteLLMCache._handle_corruption | Delete corrupted cache and all related files. | null | false | true | 194 | 202 | null | null | null | [
"self"
] | null | SQLiteLLMCache | Type: method
Member Name: _handle_corruption
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache._handle_corruption
Docstring: Delete corrupted cache and all related files.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: none
Parent Class: SQLiteLLMCache |
method | _init_db | fenic._inference.cache.sqlite_cache.SQLiteLLMCache._init_db | Initialize normalized schema. | null | false | true | 204 | 246 | null | null | null | [
"self"
] | null | SQLiteLLMCache | Type: method
Member Name: _init_db
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache._init_db
Docstring: Initialize normalized schema.
Value: none
Annotation: none
is Public? : false
is Private? : true
Parameters: ["self"]
Returns: none
Parent Class: SQLiteLLMCache |
method | get | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.get | Retrieve cached response.
Args:
cache_key: Unique cache key.
Returns:
CachedResponse if found and not expired, None otherwise. | null | true | false | 248 | 320 | null | Optional[CachedResponse] | null | [
"self",
"cache_key"
] | null | SQLiteLLMCache | Type: method
Member Name: get
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.get
Docstring: Retrieve cached response.
Args:
cache_key: Unique cache key.
Returns:
CachedResponse if found and not expired, None otherwise.
Value: none
Annotation: none
is Public? : true
is Private? : false
Para... |
method | get_batch | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.get_batch | Retrieve multiple cached responses.
Args:
cache_keys: List of cache keys to retrieve.
Returns:
Dictionary mapping cache keys to responses (only includes hits). | null | true | false | 322 | 406 | null | Dict[str, CachedResponse] | null | [
"self",
"cache_keys"
] | null | SQLiteLLMCache | Type: method
Member Name: get_batch
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.get_batch
Docstring: Retrieve multiple cached responses.
Args:
cache_keys: List of cache keys to retrieve.
Returns:
Dictionary mapping cache keys to responses (only includes hits).
Value: none
Annotation: no... |
method | set | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.set | Store response in cache.
Args:
cache_key: Unique cache key.
response: The response to cache.
model: The model that generated this response.
Returns:
True if stored successfully, False otherwise. | null | true | false | 408 | 481 | null | bool | null | [
"self",
"cache_key",
"response",
"model"
] | null | SQLiteLLMCache | Type: method
Member Name: set
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.set
Docstring: Store response in cache.
Args:
cache_key: Unique cache key.
response: The response to cache.
model: The model that generated this response.
Returns:
True if stored successfully, False otherw... |
method | set_batch | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.set_batch | Store multiple responses.
Args:
entries: List of (cache_key, response, model) tuples.
Returns:
Count of successfully stored entries. | null | true | false | 483 | 568 | null | int | null | [
"self",
"entries"
] | null | SQLiteLLMCache | Type: method
Member Name: set_batch
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.set_batch
Docstring: Store multiple responses.
Args:
entries: List of (cache_key, response, model) tuples.
Returns:
Count of successfully stored entries.
Value: none
Annotation: none
is Public? : true
is Pri... |
method | clear | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.clear | Clear all entries in namespace.
Returns:
Number of entries cleared. | null | true | false | 571 | 594 | null | int | null | [
"self"
] | null | SQLiteLLMCache | Type: method
Member Name: clear
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.clear
Docstring: Clear all entries in namespace.
Returns:
Number of entries cleared.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: int
Parent Class: SQLiteLLMCache |
method | stats | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.stats | Get performance statistics.
Returns:
CacheStats with current metrics. | null | true | false | 596 | 645 | null | CacheStats | null | [
"self"
] | null | SQLiteLLMCache | Type: method
Member Name: stats
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.stats
Docstring: Get performance statistics.
Returns:
CacheStats with current metrics.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: CacheStats
Parent Class: SQLiteL... |
method | _maybe_evict | fenic._inference.cache.sqlite_cache.SQLiteLLMCache._maybe_evict | Evict LRU entries if cache exceeds max size.
Args:
conn: Database connection to use (reuses caller's connection to avoid deadlock). | null | false | true | 647 | 693 | null | null | null | [
"self",
"conn"
] | null | SQLiteLLMCache | Type: method
Member Name: _maybe_evict
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache._maybe_evict
Docstring: Evict LRU entries if cache exceeds max size.
Args:
conn: Database connection to use (reuses caller's connection to avoid deadlock).
Value: none
Annotation: none
is Public? : false
is Pr... |
method | close | fenic._inference.cache.sqlite_cache.SQLiteLLMCache.close | Close all pooled connections and checkpoint WAL.
Simple approach: close all connections, try to checkpoint WAL.
If something fails, just log it - the cache is expendable. | null | true | false | 695 | 723 | null | null | null | [
"self"
] | null | SQLiteLLMCache | Type: method
Member Name: close
Qualified Name: fenic._inference.cache.sqlite_cache.SQLiteLLMCache.close
Docstring: Close all pooled connections and checkpoint WAL.
Simple approach: close all connections, try to checkpoint WAL.
If something fails, just log it - the cache is expendable.
Value: none
Annotation: none
is ... |
module | protocol | fenic._inference.cache.protocol | Protocol and types for LLM response caching. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/_inference/cache/protocol.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: protocol
Qualified Name: fenic._inference.cache.protocol
Docstring: Protocol and types for LLM response caching.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
class | CachedResponse | fenic._inference.cache.protocol.CachedResponse | Cached LLM response with metadata.
Attributes:
completion: The completion text from the LLM.
model: The model that generated this response.
cached_at: Timestamp when this response was cached.
prompt_tokens: Number of prompt tokens (if available).
completion_tokens: Number of completion tokens (if a... | null | true | false | 10 | 85 | null | null | null | null | [] | null | Type: class
Member Name: CachedResponse
Qualified Name: fenic._inference.cache.protocol.CachedResponse
Docstring: Cached LLM response with metadata.
Attributes:
completion: The completion text from the LLM.
model: The model that generated this response.
cached_at: Timestamp when this response was cached.
... |
method | to_fenic_response | fenic._inference.cache.protocol.CachedResponse.to_fenic_response | Convert cached response to FenicCompletionsResponse.
Returns:
FenicCompletionsResponse with cached data and usage information.
Example:
```python
cached = CachedResponse(
completion="Hello!",
model="gpt-4o-mini",
cached_at=datetime.now(),
prompt_tokens=10,
completio... | null | true | false | 52 | 85 | null | FenicCompletionsResponse | null | [
"self"
] | null | CachedResponse | Type: method
Member Name: to_fenic_response
Qualified Name: fenic._inference.cache.protocol.CachedResponse.to_fenic_response
Docstring: Convert cached response to FenicCompletionsResponse.
Returns:
FenicCompletionsResponse with cached data and usage information.
Example:
```python
cached = CachedResponse(... |
method | __init__ | fenic._inference.cache.protocol.CachedResponse.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"completion",
"model",
"cached_at",
"prompt_tokens",
"completion_tokens",
"total_tokens",
"cached_tokens",
"thinking_tokens",
"logprobs",
"access_count"
] | null | CachedResponse | Type: method
Member Name: __init__
Qualified Name: fenic._inference.cache.protocol.CachedResponse.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "completion", "model", "cached_at", "prompt_tokens", "completion_tokens", "total_tokens", "cached_tokens", "t... |
class | CacheStats | fenic._inference.cache.protocol.CacheStats | Cache performance statistics.
Attributes:
hits: Number of cache hits.
misses: Number of cache misses.
stores: Number of successful cache stores.
errors: Number of cache errors.
hit_rate: Cache hit rate (hits / (hits + misses)).
total_entries: Total number of entries in cache.
size_bytes: To... | null | true | false | 88 | 115 | null | null | null | null | [] | null | Type: class
Member Name: CacheStats
Qualified Name: fenic._inference.cache.protocol.CacheStats
Docstring: Cache performance statistics.
Attributes:
hits: Number of cache hits.
misses: Number of cache misses.
stores: Number of successful cache stores.
errors: Number of cache errors.
hit_rate: Cache ... |
method | __init__ | fenic._inference.cache.protocol.CacheStats.__init__ | null | null | true | false | 0 | 0 | null | None | null | [
"self",
"hits",
"misses",
"stores",
"errors",
"hit_rate",
"total_entries",
"size_bytes"
] | null | CacheStats | Type: method
Member Name: __init__
Qualified Name: fenic._inference.cache.protocol.CacheStats.__init__
Docstring: none
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self", "hits", "misses", "stores", "errors", "hit_rate", "total_entries", "size_bytes"]
Returns: None
Parent Class: Cach... |
class | LLMResponseCache | fenic._inference.cache.protocol.LLMResponseCache | Protocol for LLM response caching.
All implementations must be thread-safe and handle errors gracefully
without raising exceptions that could break the LLM pipeline.
Example:
Implementing a custom cache:
```python
class MyCache:
def get(self, cache_key: str) -> Optional[CachedResponse]:
... | null | true | false | 118 | 235 | null | null | null | null | [
"Protocol"
] | null | Type: class
Member Name: LLMResponseCache
Qualified Name: fenic._inference.cache.protocol.LLMResponseCache
Docstring: Protocol for LLM response caching.
All implementations must be thread-safe and handle errors gracefully
without raising exceptions that could break the LLM pipeline.
Example:
Implementing a custom... |
method | get | fenic._inference.cache.protocol.LLMResponseCache.get | Retrieve a cached response.
Args:
cache_key: Unique key for the cached response.
Returns:
CachedResponse if found and not expired, None otherwise.
Note:
This method should never raise exceptions. All errors should be
logged and None returned. | null | true | false | 146 | 158 | null | Optional[CachedResponse] | null | [
"self",
"cache_key"
] | null | LLMResponseCache | Type: method
Member Name: get
Qualified Name: fenic._inference.cache.protocol.LLMResponseCache.get
Docstring: Retrieve a cached response.
Args:
cache_key: Unique key for the cached response.
Returns:
CachedResponse if found and not expired, None otherwise.
Note:
This method should never raise exceptions. ... |
method | get_batch | fenic._inference.cache.protocol.LLMResponseCache.get_batch | Retrieve multiple cached responses.
Args:
cache_keys: List of cache keys to retrieve.
Returns:
Dictionary mapping cache keys to responses (only includes hits).
Note:
This method should never raise exceptions. All errors should be
logged and an empty dict or partial results returned. | null | true | false | 160 | 173 | null | Dict[str, CachedResponse] | null | [
"self",
"cache_keys"
] | null | LLMResponseCache | Type: method
Member Name: get_batch
Qualified Name: fenic._inference.cache.protocol.LLMResponseCache.get_batch
Docstring: Retrieve multiple cached responses.
Args:
cache_keys: List of cache keys to retrieve.
Returns:
Dictionary mapping cache keys to responses (only includes hits).
Note:
This method shoul... |
method | set | fenic._inference.cache.protocol.LLMResponseCache.set | Store response in cache.
Args:
cache_key: Unique key for the response.
response: The response to cache.
model: The model that generated this response.
Returns:
True if stored successfully, False otherwise.
Note:
This method should never raise exceptions. All errors should be
logged and False ... | null | true | false | 175 | 195 | null | bool | null | [
"self",
"cache_key",
"response",
"model"
] | null | LLMResponseCache | Type: method
Member Name: set
Qualified Name: fenic._inference.cache.protocol.LLMResponseCache.set
Docstring: Store response in cache.
Args:
cache_key: Unique key for the response.
response: The response to cache.
model: The model that generated this response.
Returns:
True if stored successfully, Fal... |
method | set_batch | fenic._inference.cache.protocol.LLMResponseCache.set_batch | Store multiple responses in cache.
Args:
entries: List of (cache_key, response, model) tuples.
Returns:
Count of successfully stored entries.
Note:
This method should never raise exceptions. All errors should be
logged and partial success count returned. | null | true | false | 197 | 212 | null | int | null | [
"self",
"entries"
] | null | LLMResponseCache | Type: method
Member Name: set_batch
Qualified Name: fenic._inference.cache.protocol.LLMResponseCache.set_batch
Docstring: Store multiple responses in cache.
Args:
entries: List of (cache_key, response, model) tuples.
Returns:
Count of successfully stored entries.
Note:
This method should never raise exce... |
method | clear | fenic._inference.cache.protocol.LLMResponseCache.clear | Clear all entries in cache namespace.
Returns:
Number of entries cleared. | null | true | false | 214 | 220 | null | int | null | [
"self"
] | null | LLMResponseCache | Type: method
Member Name: clear
Qualified Name: fenic._inference.cache.protocol.LLMResponseCache.clear
Docstring: Clear all entries in cache namespace.
Returns:
Number of entries cleared.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: int
Parent Class: LLMResponseC... |
method | stats | fenic._inference.cache.protocol.LLMResponseCache.stats | Get cache performance statistics.
Returns:
CacheStats with current metrics. | null | true | false | 222 | 228 | null | CacheStats | null | [
"self"
] | null | LLMResponseCache | Type: method
Member Name: stats
Qualified Name: fenic._inference.cache.protocol.LLMResponseCache.stats
Docstring: Get cache performance statistics.
Returns:
CacheStats with current metrics.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: CacheStats
Parent Class: LLM... |
method | close | fenic._inference.cache.protocol.LLMResponseCache.close | Release cache resources.
Should be called when the cache is no longer needed. | null | true | false | 230 | 235 | null | None | null | [
"self"
] | null | LLMResponseCache | Type: method
Member Name: close
Qualified Name: fenic._inference.cache.protocol.LLMResponseCache.close
Docstring: Release cache resources.
Should be called when the cache is no longer needed.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: ["self"]
Returns: None
Parent Class: LLMResponse... |
module | key_builder | fenic._inference.cache.key_builder | Shared helpers for building deterministic request/cache keys. | /private/var/folders/w2/dyfkx_354cqghs4b74vb_x380000gn/T/fenic-clone-0.11.0-a2lcuovw/fenic/src/fenic/_inference/cache/key_builder.py | true | false | null | null | null | null | null | null | null | null | Type: module
Member Name: key_builder
Qualified Name: fenic._inference.cache.key_builder
Docstring: Shared helpers for building deterministic request/cache keys.
Value: none
Annotation: none
is Public? : true
is Private? : false
Parameters: none
Returns: none
Parent Class: none |
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